logs.log 1.8 MB

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  1. 2022-01-17 12:58:15,351:INFO:PyCaret Supervised Module
  2. 2022-01-17 12:58:15,352:INFO:ML Usecase: classification
  3. 2022-01-17 12:58:15,352:INFO:version 2.3.6
  4. 2022-01-17 12:58:15,352:INFO:Initializing setup()
  5. 2022-01-17 12:58:15,352:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  6. 2022-01-17 12:58:15,352:INFO:Checking environment
  7. 2022-01-17 12:58:15,353:INFO:python_version: 3.8.8
  8. 2022-01-17 12:58:15,353:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9. 2022-01-17 12:58:15,353:INFO:machine: x86_64
  10. 2022-01-17 12:58:15,353:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  11. 2022-01-17 12:58:15,353:INFO:Memory: svmem(total=33619935232, available=30101434368, percent=10.5, used=2679119872, free=27730788352, active=834121728, inactive=4488892416, buffers=578408448, cached=2631618560, shared=383373312, slab=280399872)
  12. 2022-01-17 12:58:15,354:INFO:Physical Core: 16
  13. 2022-01-17 12:58:15,354:INFO:Logical Core: 32
  14. 2022-01-17 12:58:15,354:INFO:Checking libraries
  15. 2022-01-17 12:58:15,355:INFO:pd==1.2.4
  16. 2022-01-17 12:58:15,355:INFO:numpy==1.19.5
  17. 2022-01-17 12:58:15,355:INFO:sklearn==0.23.2
  18. 2022-01-17 12:58:15,355:INFO:lightgbm==3.3.2
  19. 2022-01-17 12:58:15,356:WARNING:catboost not found
  20. 2022-01-17 12:58:15,356:WARNING:xgboost not found
  21. 2022-01-17 12:58:15,477:INFO:mlflow==1.22.0
  22. 2022-01-17 12:58:15,477:INFO:Checking Exceptions
  23. 2022-01-17 12:58:15,478:INFO:Declaring global variables
  24. 2022-01-17 12:58:15,478:INFO:USI: c57c
  25. 2022-01-17 12:58:15,478:INFO:pycaret_globals: {'fix_imbalance_method_param', '_internal_pipeline', 'create_model_container', 'exp_name_log', '_all_metrics', 'transform_target_method_param', 'logging_param', 'imputation_classifier', 'pycaret_globals', 'iterative_imputation_iters_param', 'log_plots_param', 'y', 'master_model_container', '_available_plots', 'target_param', 'fix_imbalance_param', 'USI', 'prep_pipe', '_ml_usecase', 'fold_param', 'experiment__', 'html_param', 'y_test', 'fold_shuffle_param', 'fold_groups_param', 'data_before_preprocess', '_gpu_n_jobs_param', 'stratify_param', 'n_jobs_param', 'y_train', 'display_container', 'fold_groups_param_full', 'imputation_regressor', '_all_models_internal', 'X', 'X_train', 'transform_target_param', 'fold_generator', 'seed', '_all_models', 'gpu_param', 'X_test'}
  26. 2022-01-17 12:58:15,478:INFO:Preparing display monitor
  27. 2022-01-17 12:58:15,478:INFO:Preparing display monitor
  28. 2022-01-17 12:58:15,487:INFO:Importing libraries
  29. 2022-01-17 12:58:15,487:INFO:Copying data for preprocessing
  30. 2022-01-17 12:58:15,492:INFO:Declaring preprocessing parameters
  31. 2022-01-17 12:58:15,494:INFO:Creating preprocessing pipeline
  32. 2022-01-17 12:58:15,508:INFO:Preprocessing pipeline created successfully
  33. 2022-01-17 12:58:15,509:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  34. 2022-01-17 12:58:15,509:INFO:Creating global containers
  35. 2022-01-17 12:58:15,510:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  36. 2022-01-17 12:59:42,168:WARNING:Couldn't import xgboost.XGBClassifier
  37. 2022-01-17 12:59:42,168:WARNING:Couldn't import catboost.CatBoostClassifier
  38. 2022-01-17 12:59:42,214:WARNING:Couldn't import xgboost.XGBClassifier
  39. 2022-01-17 12:59:42,215:WARNING:Couldn't import catboost.CatBoostClassifier
  40. 2022-01-17 12:59:42,215:INFO:Creating grid variables
  41. 2022-01-17 12:59:42,226:INFO:create_model_container: 0
  42. 2022-01-17 12:59:42,226:INFO:master_model_container: 0
  43. 2022-01-17 12:59:42,226:INFO:display_container: 1
  44. 2022-01-17 12:59:42,229:INFO:Pipeline(memory=None,
  45. steps=[('dtypes',
  46. DataTypes_Auto_infer(categorical_features=[],
  47. display_types=True, features_todrop=[],
  48. id_columns=[],
  49. ml_usecase='classification',
  50. numerical_features=[], target='label',
  51. time_features=[])),
  52. ('imputer',
  53. Simple_Imputer(categorical_strategy='not_available',
  54. fill_value_categorical=None,
  55. fill_value_numerical=None,
  56. numeric_strate...
  57. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  58. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  59. ('cluster_all', 'passthrough'),
  60. ('dummy', Dummify(target='label')),
  61. ('fix_perfect', Remove_100(target='label')),
  62. ('clean_names', Clean_Colum_Names()),
  63. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  64. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  65. verbose=False)
  66. 2022-01-17 12:59:42,229:INFO:setup() succesfully completed......................................
  67. 2022-01-17 13:01:00,918:INFO:PyCaret Supervised Module
  68. 2022-01-17 13:01:00,918:INFO:ML Usecase: classification
  69. 2022-01-17 13:01:00,919:INFO:version 2.3.6
  70. 2022-01-17 13:01:00,919:INFO:Initializing setup()
  71. 2022-01-17 13:01:00,919:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=False, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  72. 2022-01-17 13:01:00,919:INFO:Checking environment
  73. 2022-01-17 13:01:00,919:INFO:python_version: 3.8.8
  74. 2022-01-17 13:01:00,920:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  75. 2022-01-17 13:01:00,920:INFO:machine: x86_64
  76. 2022-01-17 13:01:00,920:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  77. 2022-01-17 13:01:00,920:INFO:Memory: svmem(total=33619935232, available=30035263488, percent=10.7, used=2745372672, free=27662983168, active=834859008, inactive=4551708672, buffers=578715648, cached=2632863744, shared=383373312, slab=281436160)
  78. 2022-01-17 13:01:00,921:INFO:Physical Core: 16
  79. 2022-01-17 13:01:00,921:INFO:Logical Core: 32
  80. 2022-01-17 13:01:00,921:INFO:Checking libraries
  81. 2022-01-17 13:01:00,921:INFO:pd==1.2.4
  82. 2022-01-17 13:01:00,922:INFO:numpy==1.19.5
  83. 2022-01-17 13:01:00,922:INFO:sklearn==0.23.2
  84. 2022-01-17 13:01:00,922:INFO:lightgbm==3.3.2
  85. 2022-01-17 13:01:00,922:WARNING:catboost not found
  86. 2022-01-17 13:01:00,923:WARNING:xgboost not found
  87. 2022-01-17 13:01:00,923:INFO:mlflow==1.22.0
  88. 2022-01-17 13:01:00,923:INFO:Checking Exceptions
  89. 2022-01-17 13:01:00,923:INFO:Declaring global variables
  90. 2022-01-17 13:01:00,924:INFO:USI: 2fbd
  91. 2022-01-17 13:01:00,924:INFO:pycaret_globals: {'fix_imbalance_method_param', '_internal_pipeline', 'create_model_container', 'exp_name_log', '_all_metrics', 'transform_target_method_param', 'logging_param', 'imputation_classifier', 'pycaret_globals', 'iterative_imputation_iters_param', 'log_plots_param', 'y', 'master_model_container', '_available_plots', 'target_param', 'fix_imbalance_param', 'USI', 'prep_pipe', '_ml_usecase', 'fold_param', 'experiment__', 'html_param', 'y_test', 'fold_shuffle_param', 'fold_groups_param', 'data_before_preprocess', '_gpu_n_jobs_param', 'stratify_param', 'n_jobs_param', 'y_train', 'display_container', 'fold_groups_param_full', 'imputation_regressor', '_all_models_internal', 'X', 'X_train', 'transform_target_param', 'fold_generator', 'seed', '_all_models', 'gpu_param', 'X_test'}
  92. 2022-01-17 13:01:00,924:INFO:Preparing display monitor
  93. 2022-01-17 13:01:00,924:INFO:Preparing display monitor
  94. 2022-01-17 13:01:00,931:INFO:Importing libraries
  95. 2022-01-17 13:01:00,931:INFO:Copying data for preprocessing
  96. 2022-01-17 13:01:00,936:INFO:Declaring preprocessing parameters
  97. 2022-01-17 13:01:00,937:WARNING:cuML not found
  98. 2022-01-17 13:01:00,937:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  99. 2022-01-17 13:01:00,938:INFO:Creating preprocessing pipeline
  100. 2022-01-17 13:01:00,952:INFO:Preprocessing pipeline created successfully
  101. 2022-01-17 13:01:00,953:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  102. 2022-01-17 13:01:00,953:INFO:Creating global containers
  103. 2022-01-17 13:01:00,953:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  104. 2022-01-17 13:01:06,482:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  105. 2022-01-17 13:01:06,511:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  106. 2022-01-17 13:01:06,511:WARNING:Couldn't import cuml.MBSGDClassifier
  107. 2022-01-17 13:01:06,512:WARNING:Couldn't import cuml.svm.SVC
  108. 2022-01-17 13:01:06,527:WARNING:Couldn't import cuml.linear_model
  109. 2022-01-17 13:01:06,530:WARNING:Couldn't import cuml.ensemble
  110. 2022-01-17 13:01:06,532:WARNING:Couldn't import xgboost.XGBClassifier
  111. 2022-01-17 13:01:06,540:WARNING:Couldn't import catboost.CatBoostClassifier
  112. 2022-01-17 13:01:06,541:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  113. 2022-01-17 13:01:06,573:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  114. 2022-01-17 13:01:06,574:WARNING:Couldn't import cuml.MBSGDClassifier
  115. 2022-01-17 13:01:06,575:WARNING:Couldn't import cuml.svm.SVC
  116. 2022-01-17 13:01:06,590:WARNING:Couldn't import cuml.linear_model
  117. 2022-01-17 13:01:06,593:WARNING:Couldn't import cuml.ensemble
  118. 2022-01-17 13:01:06,594:WARNING:Couldn't import xgboost.XGBClassifier
  119. 2022-01-17 13:01:06,598:WARNING:Couldn't import catboost.CatBoostClassifier
  120. 2022-01-17 13:01:06,599:INFO:Creating grid variables
  121. 2022-01-17 13:01:06,609:INFO:create_model_container: 0
  122. 2022-01-17 13:01:06,609:INFO:master_model_container: 0
  123. 2022-01-17 13:01:06,610:INFO:display_container: 1
  124. 2022-01-17 13:01:06,613:INFO:Pipeline(memory=None,
  125. steps=[('dtypes',
  126. DataTypes_Auto_infer(categorical_features=[],
  127. display_types=True, features_todrop=[],
  128. id_columns=[],
  129. ml_usecase='classification',
  130. numerical_features=[], target='label',
  131. time_features=[])),
  132. ('imputer',
  133. Simple_Imputer(categorical_strategy='not_available',
  134. fill_value_categorical=None,
  135. fill_value_numerical=None,
  136. numeric_strate...
  137. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  138. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  139. ('cluster_all', 'passthrough'),
  140. ('dummy', Dummify(target='label')),
  141. ('fix_perfect', Remove_100(target='label')),
  142. ('clean_names', Clean_Colum_Names()),
  143. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  144. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  145. verbose=False)
  146. 2022-01-17 13:01:06,613:INFO:setup() succesfully completed......................................
  147. 2022-01-17 13:02:34,311:INFO:Initializing compare_models()
  148. 2022-01-17 13:02:34,311:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  149. 2022-01-17 13:02:34,311:INFO:Checking exceptions
  150. 2022-01-17 13:02:34,312:INFO:Preparing display monitor
  151. 2022-01-17 13:02:34,312:INFO:Preparing display monitor
  152. 2022-01-17 13:02:34,329:INFO:Initializing Logistic Regression
  153. 2022-01-17 13:02:34,329:INFO:Total runtime is 6.2783559163411456e-06 minutes
  154. 2022-01-17 13:02:34,334:INFO:SubProcess create_model() called ==================================
  155. 2022-01-17 13:02:34,335:INFO:Initializing create_model()
  156. 2022-01-17 13:02:34,335:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  157. 2022-01-17 13:02:34,335:INFO:Checking exceptions
  158. 2022-01-17 13:02:34,335:INFO:Importing libraries
  159. 2022-01-17 13:02:34,335:INFO:Copying training dataset
  160. 2022-01-17 13:02:34,336:INFO:Defining folds
  161. 2022-01-17 13:02:34,336:INFO:Declaring metric variables
  162. 2022-01-17 13:02:34,341:INFO:Importing untrained model
  163. 2022-01-17 13:02:34,346:INFO:Logistic Regression Imported succesfully
  164. 2022-01-17 13:02:34,356:INFO:Starting cross validation
  165. 2022-01-17 13:02:34,356:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  166. 2022-01-17 13:02:44,123:INFO:Calculating mean and std
  167. 2022-01-17 13:02:44,124:INFO:Creating metrics dataframe
  168. 2022-01-17 13:02:44,130:INFO:Uploading results into container
  169. 2022-01-17 13:02:44,130:INFO:Uploading model into container now
  170. 2022-01-17 13:02:44,131:INFO:create_model_container: 1
  171. 2022-01-17 13:02:44,131:INFO:master_model_container: 1
  172. 2022-01-17 13:02:44,132:INFO:display_container: 2
  173. 2022-01-17 13:02:44,132:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  174. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  175. multi_class='auto', n_jobs=None, penalty='l2',
  176. random_state=2921, solver='lbfgs', tol=0.0001, verbose=0,
  177. warm_start=False)
  178. 2022-01-17 13:02:44,133:INFO:create_model() succesfully completed......................................
  179. 2022-01-17 13:02:44,212:INFO:SubProcess create_model() end ==================================
  180. 2022-01-17 13:02:44,213:INFO:Creating metrics dataframe
  181. 2022-01-17 13:02:44,222:INFO:Initializing K Neighbors Classifier
  182. 2022-01-17 13:02:44,222:INFO:Total runtime is 0.16488877932230633 minutes
  183. 2022-01-17 13:02:44,228:INFO:SubProcess create_model() called ==================================
  184. 2022-01-17 13:02:44,228:INFO:Initializing create_model()
  185. 2022-01-17 13:02:44,228:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  186. 2022-01-17 13:02:44,228:INFO:Checking exceptions
  187. 2022-01-17 13:02:44,228:INFO:Importing libraries
  188. 2022-01-17 13:02:44,229:INFO:Copying training dataset
  189. 2022-01-17 13:02:44,229:INFO:Defining folds
  190. 2022-01-17 13:02:44,230:INFO:Declaring metric variables
  191. 2022-01-17 13:02:44,234:INFO:Importing untrained model
  192. 2022-01-17 13:02:44,239:INFO:K Neighbors Classifier Imported succesfully
  193. 2022-01-17 13:02:44,249:INFO:Starting cross validation
  194. 2022-01-17 13:02:44,249:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  195. 2022-01-17 13:02:48,557:INFO:Calculating mean and std
  196. 2022-01-17 13:02:48,558:INFO:Creating metrics dataframe
  197. 2022-01-17 13:02:48,561:INFO:Uploading results into container
  198. 2022-01-17 13:02:48,561:INFO:Uploading model into container now
  199. 2022-01-17 13:02:48,561:INFO:create_model_container: 2
  200. 2022-01-17 13:02:48,561:INFO:master_model_container: 2
  201. 2022-01-17 13:02:48,562:INFO:display_container: 2
  202. 2022-01-17 13:02:48,562:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  203. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  204. weights='uniform')
  205. 2022-01-17 13:02:48,562:INFO:create_model() succesfully completed......................................
  206. 2022-01-17 13:02:48,650:INFO:SubProcess create_model() end ==================================
  207. 2022-01-17 13:02:48,650:INFO:Creating metrics dataframe
  208. 2022-01-17 13:02:48,661:INFO:Initializing Naive Bayes
  209. 2022-01-17 13:02:48,661:INFO:Total runtime is 0.23887631893157962 minutes
  210. 2022-01-17 13:02:48,667:INFO:SubProcess create_model() called ==================================
  211. 2022-01-17 13:02:48,667:INFO:Initializing create_model()
  212. 2022-01-17 13:02:48,667:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  213. 2022-01-17 13:02:48,668:INFO:Checking exceptions
  214. 2022-01-17 13:02:48,668:INFO:Importing libraries
  215. 2022-01-17 13:02:48,668:INFO:Copying training dataset
  216. 2022-01-17 13:02:48,669:INFO:Defining folds
  217. 2022-01-17 13:02:48,670:INFO:Declaring metric variables
  218. 2022-01-17 13:02:48,674:INFO:Importing untrained model
  219. 2022-01-17 13:02:48,679:INFO:Naive Bayes Imported succesfully
  220. 2022-01-17 13:02:48,691:INFO:Starting cross validation
  221. 2022-01-17 13:02:48,691:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  222. 2022-01-17 13:02:48,807:INFO:Calculating mean and std
  223. 2022-01-17 13:02:48,808:INFO:Creating metrics dataframe
  224. 2022-01-17 13:02:48,810:INFO:Uploading results into container
  225. 2022-01-17 13:02:48,811:INFO:Uploading model into container now
  226. 2022-01-17 13:02:48,811:INFO:create_model_container: 3
  227. 2022-01-17 13:02:48,811:INFO:master_model_container: 3
  228. 2022-01-17 13:02:48,811:INFO:display_container: 2
  229. 2022-01-17 13:02:48,811:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  230. 2022-01-17 13:02:48,812:INFO:create_model() succesfully completed......................................
  231. 2022-01-17 13:02:48,877:INFO:SubProcess create_model() end ==================================
  232. 2022-01-17 13:02:48,878:INFO:Creating metrics dataframe
  233. 2022-01-17 13:02:48,888:INFO:Initializing Decision Tree Classifier
  234. 2022-01-17 13:02:48,888:INFO:Total runtime is 0.24265816609064741 minutes
  235. 2022-01-17 13:02:48,894:INFO:SubProcess create_model() called ==================================
  236. 2022-01-17 13:02:48,894:INFO:Initializing create_model()
  237. 2022-01-17 13:02:48,894:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  238. 2022-01-17 13:02:48,894:INFO:Checking exceptions
  239. 2022-01-17 13:02:48,894:INFO:Importing libraries
  240. 2022-01-17 13:02:48,894:INFO:Copying training dataset
  241. 2022-01-17 13:02:48,895:INFO:Defining folds
  242. 2022-01-17 13:02:48,895:INFO:Declaring metric variables
  243. 2022-01-17 13:02:48,900:INFO:Importing untrained model
  244. 2022-01-17 13:02:48,905:INFO:Decision Tree Classifier Imported succesfully
  245. 2022-01-17 13:02:48,915:INFO:Starting cross validation
  246. 2022-01-17 13:02:48,915:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  247. 2022-01-17 13:02:49,163:INFO:Calculating mean and std
  248. 2022-01-17 13:02:49,164:INFO:Creating metrics dataframe
  249. 2022-01-17 13:02:49,167:INFO:Uploading results into container
  250. 2022-01-17 13:02:49,167:INFO:Uploading model into container now
  251. 2022-01-17 13:02:49,167:INFO:create_model_container: 4
  252. 2022-01-17 13:02:49,167:INFO:master_model_container: 4
  253. 2022-01-17 13:02:49,167:INFO:display_container: 2
  254. 2022-01-17 13:02:49,168:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  255. max_depth=None, max_features=None, max_leaf_nodes=None,
  256. min_impurity_decrease=0.0, min_impurity_split=None,
  257. min_samples_leaf=1, min_samples_split=2,
  258. min_weight_fraction_leaf=0.0, presort='deprecated',
  259. random_state=2921, splitter='best')
  260. 2022-01-17 13:02:49,168:INFO:create_model() succesfully completed......................................
  261. 2022-01-17 13:02:49,232:INFO:SubProcess create_model() end ==================================
  262. 2022-01-17 13:02:49,232:INFO:Creating metrics dataframe
  263. 2022-01-17 13:02:49,243:INFO:Initializing SVM - Linear Kernel
  264. 2022-01-17 13:02:49,243:INFO:Total runtime is 0.24857445557912194 minutes
  265. 2022-01-17 13:02:49,248:INFO:SubProcess create_model() called ==================================
  266. 2022-01-17 13:02:49,249:INFO:Initializing create_model()
  267. 2022-01-17 13:02:49,249:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  268. 2022-01-17 13:02:49,249:INFO:Checking exceptions
  269. 2022-01-17 13:02:49,249:INFO:Importing libraries
  270. 2022-01-17 13:02:49,249:INFO:Copying training dataset
  271. 2022-01-17 13:02:49,250:INFO:Defining folds
  272. 2022-01-17 13:02:49,250:INFO:Declaring metric variables
  273. 2022-01-17 13:02:49,256:INFO:Importing untrained model
  274. 2022-01-17 13:02:49,261:INFO:SVM - Linear Kernel Imported succesfully
  275. 2022-01-17 13:02:49,271:INFO:Starting cross validation
  276. 2022-01-17 13:02:49,271:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  277. 2022-01-17 13:02:50,627:INFO:Calculating mean and std
  278. 2022-01-17 13:02:50,628:INFO:Creating metrics dataframe
  279. 2022-01-17 13:02:50,632:INFO:Uploading results into container
  280. 2022-01-17 13:02:50,633:INFO:Uploading model into container now
  281. 2022-01-17 13:02:50,633:INFO:create_model_container: 5
  282. 2022-01-17 13:02:50,633:INFO:master_model_container: 5
  283. 2022-01-17 13:02:50,634:INFO:display_container: 2
  284. 2022-01-17 13:02:50,634:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  285. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  286. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  287. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  288. power_t=0.5, random_state=2921, shuffle=True, tol=0.001,
  289. validation_fraction=0.1, verbose=0, warm_start=False)
  290. 2022-01-17 13:02:50,634:INFO:create_model() succesfully completed......................................
  291. 2022-01-17 13:02:50,733:INFO:SubProcess create_model() end ==================================
  292. 2022-01-17 13:02:50,734:INFO:Creating metrics dataframe
  293. 2022-01-17 13:02:50,746:INFO:Initializing Ridge Classifier
  294. 2022-01-17 13:02:50,746:INFO:Total runtime is 0.2736153244972229 minutes
  295. 2022-01-17 13:02:50,751:INFO:SubProcess create_model() called ==================================
  296. 2022-01-17 13:02:50,751:INFO:Initializing create_model()
  297. 2022-01-17 13:02:50,752:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  298. 2022-01-17 13:02:50,752:INFO:Checking exceptions
  299. 2022-01-17 13:02:50,752:INFO:Importing libraries
  300. 2022-01-17 13:02:50,753:INFO:Copying training dataset
  301. 2022-01-17 13:02:50,753:INFO:Defining folds
  302. 2022-01-17 13:02:50,754:INFO:Declaring metric variables
  303. 2022-01-17 13:02:50,759:INFO:Importing untrained model
  304. 2022-01-17 13:02:50,765:INFO:Ridge Classifier Imported succesfully
  305. 2022-01-17 13:02:50,776:INFO:Starting cross validation
  306. 2022-01-17 13:02:50,777:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  307. 2022-01-17 13:02:51,127:INFO:Calculating mean and std
  308. 2022-01-17 13:02:51,137:INFO:Creating metrics dataframe
  309. 2022-01-17 13:02:51,148:INFO:Uploading results into container
  310. 2022-01-17 13:02:51,148:INFO:Uploading model into container now
  311. 2022-01-17 13:02:51,149:INFO:create_model_container: 6
  312. 2022-01-17 13:02:51,149:INFO:master_model_container: 6
  313. 2022-01-17 13:02:51,149:INFO:display_container: 2
  314. 2022-01-17 13:02:51,149:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  315. max_iter=None, normalize=False, random_state=2921,
  316. solver='auto', tol=0.001)
  317. 2022-01-17 13:02:51,150:INFO:create_model() succesfully completed......................................
  318. 2022-01-17 13:02:51,247:INFO:SubProcess create_model() end ==================================
  319. 2022-01-17 13:02:51,248:INFO:Creating metrics dataframe
  320. 2022-01-17 13:02:51,259:INFO:Initializing Random Forest Classifier
  321. 2022-01-17 13:02:51,259:INFO:Total runtime is 0.2821757952372233 minutes
  322. 2022-01-17 13:02:51,265:INFO:SubProcess create_model() called ==================================
  323. 2022-01-17 13:02:51,265:INFO:Initializing create_model()
  324. 2022-01-17 13:02:51,266:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  325. 2022-01-17 13:02:51,266:INFO:Checking exceptions
  326. 2022-01-17 13:02:51,266:INFO:Importing libraries
  327. 2022-01-17 13:02:51,266:INFO:Copying training dataset
  328. 2022-01-17 13:02:51,267:INFO:Defining folds
  329. 2022-01-17 13:02:51,267:INFO:Declaring metric variables
  330. 2022-01-17 13:02:51,273:INFO:Importing untrained model
  331. 2022-01-17 13:02:51,278:INFO:Random Forest Classifier Imported succesfully
  332. 2022-01-17 13:02:51,288:INFO:Starting cross validation
  333. 2022-01-17 13:02:51,289:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  334. 2022-01-17 13:02:56,873:INFO:Calculating mean and std
  335. 2022-01-17 13:02:56,874:INFO:Creating metrics dataframe
  336. 2022-01-17 13:02:56,876:INFO:Uploading results into container
  337. 2022-01-17 13:02:56,877:INFO:Uploading model into container now
  338. 2022-01-17 13:02:56,877:INFO:create_model_container: 7
  339. 2022-01-17 13:02:56,877:INFO:master_model_container: 7
  340. 2022-01-17 13:02:56,877:INFO:display_container: 2
  341. 2022-01-17 13:02:56,877:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  342. criterion='gini', max_depth=None, max_features='auto',
  343. max_leaf_nodes=None, max_samples=None,
  344. min_impurity_decrease=0.0, min_impurity_split=None,
  345. min_samples_leaf=1, min_samples_split=2,
  346. min_weight_fraction_leaf=0.0, n_estimators=100,
  347. n_jobs=-1, oob_score=False, random_state=2921, verbose=0,
  348. warm_start=False)
  349. 2022-01-17 13:02:56,878:INFO:create_model() succesfully completed......................................
  350. 2022-01-17 13:02:56,950:INFO:SubProcess create_model() end ==================================
  351. 2022-01-17 13:02:56,950:INFO:Creating metrics dataframe
  352. 2022-01-17 13:02:56,962:INFO:Initializing Quadratic Discriminant Analysis
  353. 2022-01-17 13:02:56,962:INFO:Total runtime is 0.37721813917160035 minutes
  354. 2022-01-17 13:02:56,967:INFO:SubProcess create_model() called ==================================
  355. 2022-01-17 13:02:56,967:INFO:Initializing create_model()
  356. 2022-01-17 13:02:56,968:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  357. 2022-01-17 13:02:56,968:INFO:Checking exceptions
  358. 2022-01-17 13:02:56,968:INFO:Importing libraries
  359. 2022-01-17 13:02:56,968:INFO:Copying training dataset
  360. 2022-01-17 13:02:56,969:INFO:Defining folds
  361. 2022-01-17 13:02:56,969:INFO:Declaring metric variables
  362. 2022-01-17 13:02:56,974:INFO:Importing untrained model
  363. 2022-01-17 13:02:56,979:INFO:Quadratic Discriminant Analysis Imported succesfully
  364. 2022-01-17 13:02:56,988:INFO:Starting cross validation
  365. 2022-01-17 13:02:56,989:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  366. 2022-01-17 13:02:57,284:INFO:Calculating mean and std
  367. 2022-01-17 13:02:57,289:INFO:Creating metrics dataframe
  368. 2022-01-17 13:02:57,294:INFO:Uploading results into container
  369. 2022-01-17 13:02:57,294:INFO:Uploading model into container now
  370. 2022-01-17 13:02:57,294:INFO:create_model_container: 8
  371. 2022-01-17 13:02:57,294:INFO:master_model_container: 8
  372. 2022-01-17 13:02:57,294:INFO:display_container: 2
  373. 2022-01-17 13:02:57,295:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  374. store_covariance=False, tol=0.0001)
  375. 2022-01-17 13:02:57,295:INFO:create_model() succesfully completed......................................
  376. 2022-01-17 13:02:57,384:INFO:SubProcess create_model() end ==================================
  377. 2022-01-17 13:02:57,384:INFO:Creating metrics dataframe
  378. 2022-01-17 13:02:57,397:INFO:Initializing Ada Boost Classifier
  379. 2022-01-17 13:02:57,397:INFO:Total runtime is 0.3844650745391846 minutes
  380. 2022-01-17 13:02:57,402:INFO:SubProcess create_model() called ==================================
  381. 2022-01-17 13:02:57,402:INFO:Initializing create_model()
  382. 2022-01-17 13:02:57,403:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  383. 2022-01-17 13:02:57,403:INFO:Checking exceptions
  384. 2022-01-17 13:02:57,403:INFO:Importing libraries
  385. 2022-01-17 13:02:57,403:INFO:Copying training dataset
  386. 2022-01-17 13:02:57,404:INFO:Defining folds
  387. 2022-01-17 13:02:57,405:INFO:Declaring metric variables
  388. 2022-01-17 13:02:57,410:INFO:Importing untrained model
  389. 2022-01-17 13:02:57,414:INFO:Ada Boost Classifier Imported succesfully
  390. 2022-01-17 13:02:57,425:INFO:Starting cross validation
  391. 2022-01-17 13:02:57,426:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  392. 2022-01-17 13:02:59,675:INFO:Calculating mean and std
  393. 2022-01-17 13:02:59,676:INFO:Creating metrics dataframe
  394. 2022-01-17 13:02:59,679:INFO:Uploading results into container
  395. 2022-01-17 13:02:59,679:INFO:Uploading model into container now
  396. 2022-01-17 13:02:59,679:INFO:create_model_container: 9
  397. 2022-01-17 13:02:59,679:INFO:master_model_container: 9
  398. 2022-01-17 13:02:59,679:INFO:display_container: 2
  399. 2022-01-17 13:02:59,679:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  400. n_estimators=50, random_state=2921)
  401. 2022-01-17 13:02:59,680:INFO:create_model() succesfully completed......................................
  402. 2022-01-17 13:02:59,745:INFO:SubProcess create_model() end ==================================
  403. 2022-01-17 13:02:59,745:INFO:Creating metrics dataframe
  404. 2022-01-17 13:02:59,758:INFO:Initializing Gradient Boosting Classifier
  405. 2022-01-17 13:02:59,758:INFO:Total runtime is 0.4238206505775452 minutes
  406. 2022-01-17 13:02:59,763:INFO:SubProcess create_model() called ==================================
  407. 2022-01-17 13:02:59,764:INFO:Initializing create_model()
  408. 2022-01-17 13:02:59,764:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  409. 2022-01-17 13:02:59,764:INFO:Checking exceptions
  410. 2022-01-17 13:02:59,764:INFO:Importing libraries
  411. 2022-01-17 13:02:59,764:INFO:Copying training dataset
  412. 2022-01-17 13:02:59,765:INFO:Defining folds
  413. 2022-01-17 13:02:59,765:INFO:Declaring metric variables
  414. 2022-01-17 13:02:59,770:INFO:Importing untrained model
  415. 2022-01-17 13:02:59,776:INFO:Gradient Boosting Classifier Imported succesfully
  416. 2022-01-17 13:02:59,786:INFO:Starting cross validation
  417. 2022-01-17 13:02:59,787:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  418. 2022-01-17 13:03:05,995:INFO:Calculating mean and std
  419. 2022-01-17 13:03:05,996:INFO:Creating metrics dataframe
  420. 2022-01-17 13:03:05,999:INFO:Uploading results into container
  421. 2022-01-17 13:03:05,999:INFO:Uploading model into container now
  422. 2022-01-17 13:03:05,999:INFO:create_model_container: 10
  423. 2022-01-17 13:03:05,999:INFO:master_model_container: 10
  424. 2022-01-17 13:03:05,999:INFO:display_container: 2
  425. 2022-01-17 13:03:06,000:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  426. learning_rate=0.1, loss='deviance', max_depth=3,
  427. max_features=None, max_leaf_nodes=None,
  428. min_impurity_decrease=0.0, min_impurity_split=None,
  429. min_samples_leaf=1, min_samples_split=2,
  430. min_weight_fraction_leaf=0.0, n_estimators=100,
  431. n_iter_no_change=None, presort='deprecated',
  432. random_state=2921, subsample=1.0, tol=0.0001,
  433. validation_fraction=0.1, verbose=0,
  434. warm_start=False)
  435. 2022-01-17 13:03:06,000:INFO:create_model() succesfully completed......................................
  436. 2022-01-17 13:03:06,068:INFO:SubProcess create_model() end ==================================
  437. 2022-01-17 13:03:06,069:INFO:Creating metrics dataframe
  438. 2022-01-17 13:03:06,081:INFO:Initializing Linear Discriminant Analysis
  439. 2022-01-17 13:03:06,081:INFO:Total runtime is 0.5292097528775533 minutes
  440. 2022-01-17 13:03:06,086:INFO:SubProcess create_model() called ==================================
  441. 2022-01-17 13:03:06,087:INFO:Initializing create_model()
  442. 2022-01-17 13:03:06,087:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  443. 2022-01-17 13:03:06,087:INFO:Checking exceptions
  444. 2022-01-17 13:03:06,087:INFO:Importing libraries
  445. 2022-01-17 13:03:06,088:INFO:Copying training dataset
  446. 2022-01-17 13:03:06,088:INFO:Defining folds
  447. 2022-01-17 13:03:06,089:INFO:Declaring metric variables
  448. 2022-01-17 13:03:06,093:INFO:Importing untrained model
  449. 2022-01-17 13:03:06,098:INFO:Linear Discriminant Analysis Imported succesfully
  450. 2022-01-17 13:03:06,108:INFO:Starting cross validation
  451. 2022-01-17 13:03:06,108:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  452. 2022-01-17 13:03:07,147:INFO:Calculating mean and std
  453. 2022-01-17 13:03:07,155:INFO:Creating metrics dataframe
  454. 2022-01-17 13:03:07,159:INFO:Uploading results into container
  455. 2022-01-17 13:03:07,164:INFO:Uploading model into container now
  456. 2022-01-17 13:03:07,164:INFO:create_model_container: 11
  457. 2022-01-17 13:03:07,164:INFO:master_model_container: 11
  458. 2022-01-17 13:03:07,164:INFO:display_container: 2
  459. 2022-01-17 13:03:07,164:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  460. solver='svd', store_covariance=False, tol=0.0001)
  461. 2022-01-17 13:03:07,165:INFO:create_model() succesfully completed......................................
  462. 2022-01-17 13:03:07,259:INFO:SubProcess create_model() end ==================================
  463. 2022-01-17 13:03:07,259:INFO:Creating metrics dataframe
  464. 2022-01-17 13:03:07,271:INFO:Initializing Extra Trees Classifier
  465. 2022-01-17 13:03:07,272:INFO:Total runtime is 0.5490442395210267 minutes
  466. 2022-01-17 13:03:07,277:INFO:SubProcess create_model() called ==================================
  467. 2022-01-17 13:03:07,277:INFO:Initializing create_model()
  468. 2022-01-17 13:03:07,277:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  469. 2022-01-17 13:03:07,277:INFO:Checking exceptions
  470. 2022-01-17 13:03:07,278:INFO:Importing libraries
  471. 2022-01-17 13:03:07,278:INFO:Copying training dataset
  472. 2022-01-17 13:03:07,278:INFO:Defining folds
  473. 2022-01-17 13:03:07,279:INFO:Declaring metric variables
  474. 2022-01-17 13:03:07,283:INFO:Importing untrained model
  475. 2022-01-17 13:03:07,288:INFO:Extra Trees Classifier Imported succesfully
  476. 2022-01-17 13:03:07,299:INFO:Starting cross validation
  477. 2022-01-17 13:03:07,300:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  478. 2022-01-17 13:03:12,992:INFO:Calculating mean and std
  479. 2022-01-17 13:03:12,993:INFO:Creating metrics dataframe
  480. 2022-01-17 13:03:12,995:INFO:Uploading results into container
  481. 2022-01-17 13:03:12,996:INFO:Uploading model into container now
  482. 2022-01-17 13:03:12,996:INFO:create_model_container: 12
  483. 2022-01-17 13:03:12,996:INFO:master_model_container: 12
  484. 2022-01-17 13:03:12,996:INFO:display_container: 2
  485. 2022-01-17 13:03:12,997:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  486. criterion='gini', max_depth=None, max_features='auto',
  487. max_leaf_nodes=None, max_samples=None,
  488. min_impurity_decrease=0.0, min_impurity_split=None,
  489. min_samples_leaf=1, min_samples_split=2,
  490. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  491. oob_score=False, random_state=2921, verbose=0,
  492. warm_start=False)
  493. 2022-01-17 13:03:12,997:INFO:create_model() succesfully completed......................................
  494. 2022-01-17 13:03:13,068:INFO:SubProcess create_model() end ==================================
  495. 2022-01-17 13:03:13,068:INFO:Creating metrics dataframe
  496. 2022-01-17 13:03:13,081:INFO:Initializing Light Gradient Boosting Machine
  497. 2022-01-17 13:03:13,081:INFO:Total runtime is 0.6458649357159933 minutes
  498. 2022-01-17 13:03:13,086:INFO:SubProcess create_model() called ==================================
  499. 2022-01-17 13:03:13,086:INFO:Initializing create_model()
  500. 2022-01-17 13:03:13,087:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  501. 2022-01-17 13:03:13,087:INFO:Checking exceptions
  502. 2022-01-17 13:03:13,087:INFO:Importing libraries
  503. 2022-01-17 13:03:13,087:INFO:Copying training dataset
  504. 2022-01-17 13:03:13,088:INFO:Defining folds
  505. 2022-01-17 13:03:13,088:INFO:Declaring metric variables
  506. 2022-01-17 13:03:13,093:INFO:Importing untrained model
  507. 2022-01-17 13:03:13,098:INFO:Light Gradient Boosting Machine Imported succesfully
  508. 2022-01-17 13:03:13,108:INFO:Starting cross validation
  509. 2022-01-17 13:03:13,109:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  510. 2022-01-17 13:03:14,740:INFO:Calculating mean and std
  511. 2022-01-17 13:03:14,741:INFO:Creating metrics dataframe
  512. 2022-01-17 13:03:14,744:INFO:Uploading results into container
  513. 2022-01-17 13:03:14,744:INFO:Uploading model into container now
  514. 2022-01-17 13:03:14,744:INFO:create_model_container: 13
  515. 2022-01-17 13:03:14,744:INFO:master_model_container: 13
  516. 2022-01-17 13:03:14,744:INFO:display_container: 2
  517. 2022-01-17 13:03:14,745:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  518. importance_type='split', learning_rate=0.1, max_depth=-1,
  519. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  520. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  521. random_state=2921, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  522. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  523. 2022-01-17 13:03:14,745:INFO:create_model() succesfully completed......................................
  524. 2022-01-17 13:03:14,810:INFO:SubProcess create_model() end ==================================
  525. 2022-01-17 13:03:14,810:INFO:Creating metrics dataframe
  526. 2022-01-17 13:03:14,823:INFO:Initializing Dummy Classifier
  527. 2022-01-17 13:03:14,823:INFO:Total runtime is 0.6749085227648418 minutes
  528. 2022-01-17 13:03:14,829:INFO:SubProcess create_model() called ==================================
  529. 2022-01-17 13:03:14,829:INFO:Initializing create_model()
  530. 2022-01-17 13:03:14,829:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49db542910>, kwargs={})
  531. 2022-01-17 13:03:14,829:INFO:Checking exceptions
  532. 2022-01-17 13:03:14,829:INFO:Importing libraries
  533. 2022-01-17 13:03:14,830:INFO:Copying training dataset
  534. 2022-01-17 13:03:14,830:INFO:Defining folds
  535. 2022-01-17 13:03:14,830:INFO:Declaring metric variables
  536. 2022-01-17 13:03:14,835:INFO:Importing untrained model
  537. 2022-01-17 13:03:14,840:INFO:Dummy Classifier Imported succesfully
  538. 2022-01-17 13:03:14,852:INFO:Starting cross validation
  539. 2022-01-17 13:03:14,853:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  540. 2022-01-17 13:03:14,918:INFO:Calculating mean and std
  541. 2022-01-17 13:03:14,919:INFO:Creating metrics dataframe
  542. 2022-01-17 13:03:14,922:INFO:Uploading results into container
  543. 2022-01-17 13:03:14,923:INFO:Uploading model into container now
  544. 2022-01-17 13:03:14,923:INFO:create_model_container: 14
  545. 2022-01-17 13:03:14,923:INFO:master_model_container: 14
  546. 2022-01-17 13:03:14,923:INFO:display_container: 2
  547. 2022-01-17 13:03:14,924:INFO:DummyClassifier(constant=None, random_state=2921, strategy='prior')
  548. 2022-01-17 13:03:14,924:INFO:create_model() succesfully completed......................................
  549. 2022-01-17 13:03:14,991:INFO:SubProcess create_model() end ==================================
  550. 2022-01-17 13:03:14,991:INFO:Creating metrics dataframe
  551. 2022-01-17 13:03:15,016:INFO:Initializing create_model()
  552. 2022-01-17 13:03:15,016:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  553. max_depth=None, max_features=None, max_leaf_nodes=None,
  554. min_impurity_decrease=0.0, min_impurity_split=None,
  555. min_samples_leaf=1, min_samples_split=2,
  556. min_weight_fraction_leaf=0.0, presort='deprecated',
  557. random_state=2921, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  558. 2022-01-17 13:03:15,016:INFO:Checking exceptions
  559. 2022-01-17 13:03:15,016:INFO:Importing libraries
  560. 2022-01-17 13:03:15,017:INFO:Copying training dataset
  561. 2022-01-17 13:03:15,017:INFO:Defining folds
  562. 2022-01-17 13:03:15,017:INFO:Declaring metric variables
  563. 2022-01-17 13:03:15,017:INFO:Importing untrained model
  564. 2022-01-17 13:03:15,017:INFO:Declaring custom model
  565. 2022-01-17 13:03:15,018:INFO:Decision Tree Classifier Imported succesfully
  566. 2022-01-17 13:03:15,018:INFO:Cross validation set to False
  567. 2022-01-17 13:03:15,018:INFO:Fitting Model
  568. 2022-01-17 13:03:15,040:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  569. max_depth=None, max_features=None, max_leaf_nodes=None,
  570. min_impurity_decrease=0.0, min_impurity_split=None,
  571. min_samples_leaf=1, min_samples_split=2,
  572. min_weight_fraction_leaf=0.0, presort='deprecated',
  573. random_state=2921, splitter='best')
  574. 2022-01-17 13:03:15,040:INFO:create_models() succesfully completed......................................
  575. 2022-01-17 13:03:15,134:INFO:create_model_container: 14
  576. 2022-01-17 13:03:15,134:INFO:master_model_container: 14
  577. 2022-01-17 13:03:15,134:INFO:display_container: 2
  578. 2022-01-17 13:03:15,135:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  579. max_depth=None, max_features=None, max_leaf_nodes=None,
  580. min_impurity_decrease=0.0, min_impurity_split=None,
  581. min_samples_leaf=1, min_samples_split=2,
  582. min_weight_fraction_leaf=0.0, presort='deprecated',
  583. random_state=2921, splitter='best')
  584. 2022-01-17 13:03:15,135:INFO:compare_models() succesfully completed......................................
  585. 2022-01-17 13:05:10,965:INFO:Initializing create_model()
  586. 2022-01-17 13:05:10,966:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  587. 2022-01-17 13:05:10,966:INFO:Checking exceptions
  588. 2022-01-17 13:05:10,966:INFO:Preparing display monitor
  589. 2022-01-17 13:05:10,978:INFO:Importing libraries
  590. 2022-01-17 13:05:10,978:INFO:Copying training dataset
  591. 2022-01-17 13:05:10,979:INFO:Defining folds
  592. 2022-01-17 13:05:10,979:INFO:Declaring metric variables
  593. 2022-01-17 13:05:10,984:INFO:Importing untrained model
  594. 2022-01-17 13:05:10,988:INFO:Decision Tree Classifier Imported succesfully
  595. 2022-01-17 13:05:11,000:INFO:Starting cross validation
  596. 2022-01-17 13:05:11,001:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  597. 2022-01-17 13:05:11,257:INFO:Calculating mean and std
  598. 2022-01-17 13:05:11,258:INFO:Creating metrics dataframe
  599. 2022-01-17 13:05:11,265:INFO:Finalizing model
  600. 2022-01-17 13:05:11,287:INFO:Uploading results into container
  601. 2022-01-17 13:05:11,287:INFO:Uploading model into container now
  602. 2022-01-17 13:05:11,297:INFO:create_model_container: 15
  603. 2022-01-17 13:05:11,297:INFO:master_model_container: 15
  604. 2022-01-17 13:05:11,298:INFO:display_container: 3
  605. 2022-01-17 13:05:11,298:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  606. max_depth=None, max_features=None, max_leaf_nodes=None,
  607. min_impurity_decrease=0.0, min_impurity_split=None,
  608. min_samples_leaf=1, min_samples_split=2,
  609. min_weight_fraction_leaf=0.0, presort='deprecated',
  610. random_state=2921, splitter='best')
  611. 2022-01-17 13:05:11,298:INFO:create_model() succesfully completed......................................
  612. 2022-01-17 13:05:36,291:INFO:Initializing create_model()
  613. 2022-01-17 13:05:36,292:INFO:create_model(estimator=et, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  614. 2022-01-17 13:05:36,292:INFO:Checking exceptions
  615. 2022-01-17 13:05:36,292:INFO:Preparing display monitor
  616. 2022-01-17 13:05:36,303:INFO:Importing libraries
  617. 2022-01-17 13:05:36,303:INFO:Copying training dataset
  618. 2022-01-17 13:05:36,304:INFO:Defining folds
  619. 2022-01-17 13:05:36,304:INFO:Declaring metric variables
  620. 2022-01-17 13:05:36,308:INFO:Importing untrained model
  621. 2022-01-17 13:05:36,314:INFO:Extra Trees Classifier Imported succesfully
  622. 2022-01-17 13:05:36,324:INFO:Starting cross validation
  623. 2022-01-17 13:05:36,324:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  624. 2022-01-17 13:05:42,037:INFO:Calculating mean and std
  625. 2022-01-17 13:05:42,038:INFO:Creating metrics dataframe
  626. 2022-01-17 13:05:42,045:INFO:Finalizing model
  627. 2022-01-17 13:05:42,284:INFO:Uploading results into container
  628. 2022-01-17 13:05:42,284:INFO:Uploading model into container now
  629. 2022-01-17 13:05:42,295:INFO:create_model_container: 16
  630. 2022-01-17 13:05:42,295:INFO:master_model_container: 16
  631. 2022-01-17 13:05:42,295:INFO:display_container: 4
  632. 2022-01-17 13:05:42,296:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  633. criterion='gini', max_depth=None, max_features='auto',
  634. max_leaf_nodes=None, max_samples=None,
  635. min_impurity_decrease=0.0, min_impurity_split=None,
  636. min_samples_leaf=1, min_samples_split=2,
  637. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  638. oob_score=False, random_state=2921, verbose=0,
  639. warm_start=False)
  640. 2022-01-17 13:05:42,296:INFO:create_model() succesfully completed......................................
  641. 2022-01-17 13:06:11,498:INFO:Initializing create_model()
  642. 2022-01-17 13:06:11,498:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  643. 2022-01-17 13:06:11,499:INFO:Checking exceptions
  644. 2022-01-17 13:06:56,085:INFO:Initializing tune_model()
  645. 2022-01-17 13:06:56,085:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  646. max_depth=None, max_features=None, max_leaf_nodes=None,
  647. min_impurity_decrease=0.0, min_impurity_split=None,
  648. min_samples_leaf=1, min_samples_split=2,
  649. min_weight_fraction_leaf=0.0, presort='deprecated',
  650. random_state=2921, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  651. 2022-01-17 13:06:56,085:INFO:Checking exceptions
  652. 2022-01-17 13:06:56,086:INFO:Preparing display monitor
  653. 2022-01-17 13:06:56,097:INFO:Copying training dataset
  654. 2022-01-17 13:06:56,098:INFO:Checking base model
  655. 2022-01-17 13:06:56,098:INFO:Base model : Decision Tree Classifier
  656. 2022-01-17 13:06:56,103:INFO:Declaring metric variables
  657. 2022-01-17 13:06:56,108:INFO:Defining Hyperparameters
  658. 2022-01-17 13:06:56,183:INFO:Tuning with n_jobs=-1
  659. 2022-01-17 13:06:56,183:INFO:Initializing RandomizedSearchCV
  660. 2022-01-17 13:06:57,389:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.0005, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 13, 'actual_estimator__criterion': 'entropy'}
  661. 2022-01-17 13:06:57,390:INFO:Hyperparameter search completed
  662. 2022-01-17 13:06:57,390:INFO:SubProcess create_model() called ==================================
  663. 2022-01-17 13:06:57,391:INFO:Initializing create_model()
  664. 2022-01-17 13:06:57,391:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  665. max_depth=None, max_features=None, max_leaf_nodes=None,
  666. min_impurity_decrease=0.0, min_impurity_split=None,
  667. min_samples_leaf=1, min_samples_split=2,
  668. min_weight_fraction_leaf=0.0, presort='deprecated',
  669. random_state=2921, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49dbc342e0>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.0005, 'max_features': 1.0, 'max_depth': 13, 'criterion': 'entropy'})
  670. 2022-01-17 13:06:57,391:INFO:Checking exceptions
  671. 2022-01-17 13:06:57,391:INFO:Importing libraries
  672. 2022-01-17 13:06:57,391:INFO:Copying training dataset
  673. 2022-01-17 13:06:57,392:INFO:Defining folds
  674. 2022-01-17 13:06:57,392:INFO:Declaring metric variables
  675. 2022-01-17 13:06:57,398:INFO:Importing untrained model
  676. 2022-01-17 13:06:57,398:INFO:Declaring custom model
  677. 2022-01-17 13:06:57,403:INFO:Decision Tree Classifier Imported succesfully
  678. 2022-01-17 13:06:57,414:INFO:Starting cross validation
  679. 2022-01-17 13:06:57,415:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  680. 2022-01-17 13:06:57,648:INFO:Calculating mean and std
  681. 2022-01-17 13:06:57,649:INFO:Creating metrics dataframe
  682. 2022-01-17 13:06:57,656:INFO:Finalizing model
  683. 2022-01-17 13:06:57,674:INFO:Uploading results into container
  684. 2022-01-17 13:06:57,674:INFO:Uploading model into container now
  685. 2022-01-17 13:06:57,674:INFO:create_model_container: 17
  686. 2022-01-17 13:06:57,674:INFO:master_model_container: 17
  687. 2022-01-17 13:06:57,674:INFO:display_container: 5
  688. 2022-01-17 13:06:57,675:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  689. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  690. min_impurity_decrease=0.0005, min_impurity_split=None,
  691. min_samples_leaf=4, min_samples_split=5,
  692. min_weight_fraction_leaf=0.0, presort='deprecated',
  693. random_state=2921, splitter='best')
  694. 2022-01-17 13:06:57,675:INFO:create_model() succesfully completed......................................
  695. 2022-01-17 13:06:57,746:INFO:SubProcess create_model() end ==================================
  696. 2022-01-17 13:06:57,756:INFO:create_model_container: 17
  697. 2022-01-17 13:06:57,756:INFO:master_model_container: 17
  698. 2022-01-17 13:06:57,756:INFO:display_container: 5
  699. 2022-01-17 13:06:57,757:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  700. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  701. min_impurity_decrease=0.0005, min_impurity_split=None,
  702. min_samples_leaf=4, min_samples_split=5,
  703. min_weight_fraction_leaf=0.0, presort='deprecated',
  704. random_state=2921, splitter='best')
  705. 2022-01-17 13:06:57,757:INFO:tune_model() succesfully completed......................................
  706. 2022-01-17 13:07:50,221:INFO:Initializing plot_model()
  707. 2022-01-17 13:07:50,221:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  708. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  709. min_impurity_decrease=0.0005, min_impurity_split=None,
  710. min_samples_leaf=4, min_samples_split=5,
  711. min_weight_fraction_leaf=0.0, presort='deprecated',
  712. random_state=2921, splitter='best'), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  713. 2022-01-17 13:07:50,222:INFO:Checking exceptions
  714. 2022-01-17 13:07:50,222:INFO:Preparing display monitor
  715. 2022-01-17 13:07:50,226:INFO:Preloading libraries
  716. 2022-01-17 13:07:50,227:INFO:Copying training dataset
  717. 2022-01-17 13:07:50,228:INFO:Copying test dataset
  718. 2022-01-17 13:07:50,228:INFO:Plot type: auc
  719. 2022-01-17 13:07:50,229:INFO:Initializing get_config()
  720. 2022-01-17 13:07:50,229:INFO:get_config(variable=prep_pipe)
  721. 2022-01-17 13:07:50,232:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  722. steps=[('dtypes',
  723. DataTypes_Auto_infer(categorical_features=[],
  724. display_types=True, features_todrop=[],
  725. id_columns=[],
  726. ml_usecase='classification',
  727. numerical_features=[], target='label',
  728. time_features=[])),
  729. ('imputer',
  730. Simple_Imputer(categorical_strategy='not_available',
  731. fill_value_categorical=None,
  732. fill_value_numerical=None,
  733. numeric_strate...
  734. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  735. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  736. ('cluster_all', 'passthrough'),
  737. ('dummy', Dummify(target='label')),
  738. ('fix_perfect', Remove_100(target='label')),
  739. ('clean_names', Clean_Colum_Names()),
  740. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  741. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  742. verbose=False)
  743. 2022-01-17 13:07:50,232:INFO:get_config() succesfully completed......................................
  744. 2022-01-17 13:07:50,233:INFO:Fitting Model
  745. 2022-01-17 13:07:50,234:INFO:Scoring test/hold-out set
  746. 2022-01-17 13:07:50,365:INFO:Visual Rendered Successfully
  747. 2022-01-17 13:07:50,439:INFO:plot_model() succesfully completed......................................
  748. 2022-01-17 13:08:07,287:INFO:Initializing plot_model()
  749. 2022-01-17 13:08:07,288:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  750. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  751. min_impurity_decrease=0.0005, min_impurity_split=None,
  752. min_samples_leaf=4, min_samples_split=5,
  753. min_weight_fraction_leaf=0.0, presort='deprecated',
  754. random_state=2921, splitter='best'), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=accuracy, plot_kwargs=None, save=False, scale=1, system=True)
  755. 2022-01-17 13:08:07,288:INFO:Checking exceptions
  756. 2022-01-17 13:08:14,531:INFO:Initializing plot_model()
  757. 2022-01-17 13:08:14,532:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  758. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  759. min_impurity_decrease=0.0005, min_impurity_split=None,
  760. min_samples_leaf=4, min_samples_split=5,
  761. min_weight_fraction_leaf=0.0, presort='deprecated',
  762. random_state=2921, splitter='best'), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=pr, plot_kwargs=None, save=False, scale=1, system=True)
  763. 2022-01-17 13:08:14,532:INFO:Checking exceptions
  764. 2022-01-17 13:08:14,533:INFO:Preparing display monitor
  765. 2022-01-17 13:08:14,537:INFO:Preloading libraries
  766. 2022-01-17 13:08:14,538:INFO:Copying training dataset
  767. 2022-01-17 13:08:14,538:INFO:Copying test dataset
  768. 2022-01-17 13:08:14,539:INFO:Plot type: pr
  769. 2022-01-17 13:08:14,540:INFO:Fitting Model
  770. 2022-01-17 13:08:14,541:INFO:Scoring test/hold-out set
  771. 2022-01-17 13:08:14,627:INFO:Visual Rendered Successfully
  772. 2022-01-17 13:08:14,702:INFO:plot_model() succesfully completed......................................
  773. 2022-01-17 13:08:40,735:INFO:Initializing plot_model()
  774. 2022-01-17 13:08:40,736:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  775. max_depth=13, max_features=1.0, max_leaf_nodes=None,
  776. min_impurity_decrease=0.0005, min_impurity_split=None,
  777. min_samples_leaf=4, min_samples_split=5,
  778. min_weight_fraction_leaf=0.0, presort='deprecated',
  779. random_state=2921, splitter='best'), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  780. 2022-01-17 13:08:40,736:INFO:Checking exceptions
  781. 2022-01-17 13:08:40,737:INFO:Preparing display monitor
  782. 2022-01-17 13:08:40,741:INFO:Preloading libraries
  783. 2022-01-17 13:08:40,742:INFO:Copying training dataset
  784. 2022-01-17 13:08:40,742:INFO:Copying test dataset
  785. 2022-01-17 13:08:40,743:INFO:Plot type: feature
  786. 2022-01-17 13:08:40,744:WARNING:No coef_ found. Trying feature_importances_
  787. 2022-01-17 13:08:40,820:INFO:Visual Rendered Successfully
  788. 2022-01-17 13:08:40,899:INFO:plot_model() succesfully completed......................................
  789. 2022-01-17 13:23:17,701:INFO:Initializing create_model()
  790. 2022-01-17 13:23:17,701:INFO:create_model(estimator=nb, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  791. 2022-01-17 13:23:17,701:INFO:Checking exceptions
  792. 2022-01-17 13:23:17,702:INFO:Preparing display monitor
  793. 2022-01-17 13:23:17,712:INFO:Importing libraries
  794. 2022-01-17 13:23:17,712:INFO:Copying training dataset
  795. 2022-01-17 13:23:17,713:INFO:Defining folds
  796. 2022-01-17 13:23:17,713:INFO:Declaring metric variables
  797. 2022-01-17 13:23:17,717:INFO:Importing untrained model
  798. 2022-01-17 13:23:17,722:INFO:Naive Bayes Imported succesfully
  799. 2022-01-17 13:23:17,731:INFO:Starting cross validation
  800. 2022-01-17 13:23:17,731:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  801. 2022-01-17 13:23:17,844:INFO:Calculating mean and std
  802. 2022-01-17 13:23:17,845:INFO:Creating metrics dataframe
  803. 2022-01-17 13:23:17,851:INFO:Finalizing model
  804. 2022-01-17 13:23:17,855:INFO:Uploading results into container
  805. 2022-01-17 13:23:17,855:INFO:Uploading model into container now
  806. 2022-01-17 13:23:17,864:INFO:create_model_container: 18
  807. 2022-01-17 13:23:17,865:INFO:master_model_container: 18
  808. 2022-01-17 13:23:17,865:INFO:display_container: 6
  809. 2022-01-17 13:23:17,865:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  810. 2022-01-17 13:23:17,865:INFO:create_model() succesfully completed......................................
  811. 2022-01-17 13:23:31,722:INFO:Initializing tune_model()
  812. 2022-01-17 13:23:31,722:INFO:tune_model(estimator=GaussianNB(priors=None, var_smoothing=1e-09), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  813. 2022-01-17 13:23:31,723:INFO:Checking exceptions
  814. 2022-01-17 13:23:31,724:INFO:Preparing display monitor
  815. 2022-01-17 13:23:31,735:INFO:Copying training dataset
  816. 2022-01-17 13:23:31,736:INFO:Checking base model
  817. 2022-01-17 13:23:31,736:INFO:Base model : Naive Bayes
  818. 2022-01-17 13:23:31,741:INFO:Declaring metric variables
  819. 2022-01-17 13:23:31,745:INFO:Defining Hyperparameters
  820. 2022-01-17 13:23:31,820:INFO:Tuning with n_jobs=-1
  821. 2022-01-17 13:23:31,820:INFO:Initializing RandomizedSearchCV
  822. 2022-01-17 13:23:34,136:INFO:best_params: {'actual_estimator__var_smoothing': 0.01}
  823. 2022-01-17 13:23:34,137:INFO:Hyperparameter search completed
  824. 2022-01-17 13:23:34,137:INFO:SubProcess create_model() called ==================================
  825. 2022-01-17 13:23:34,138:INFO:Initializing create_model()
  826. 2022-01-17 13:23:34,138:INFO:create_model(estimator=GaussianNB(priors=None, var_smoothing=1e-09), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f49dc5b7b80>, kwargs={'var_smoothing': 0.01})
  827. 2022-01-17 13:23:34,138:INFO:Checking exceptions
  828. 2022-01-17 13:23:34,139:INFO:Importing libraries
  829. 2022-01-17 13:23:34,139:INFO:Copying training dataset
  830. 2022-01-17 13:23:34,140:INFO:Defining folds
  831. 2022-01-17 13:23:34,140:INFO:Declaring metric variables
  832. 2022-01-17 13:23:34,145:INFO:Importing untrained model
  833. 2022-01-17 13:23:34,146:INFO:Declaring custom model
  834. 2022-01-17 13:23:34,150:INFO:Naive Bayes Imported succesfully
  835. 2022-01-17 13:23:34,160:INFO:Starting cross validation
  836. 2022-01-17 13:23:34,160:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  837. 2022-01-17 13:23:34,272:INFO:Calculating mean and std
  838. 2022-01-17 13:23:34,273:INFO:Creating metrics dataframe
  839. 2022-01-17 13:23:34,280:INFO:Finalizing model
  840. 2022-01-17 13:23:34,284:INFO:Uploading results into container
  841. 2022-01-17 13:23:34,285:INFO:Uploading model into container now
  842. 2022-01-17 13:23:34,285:INFO:create_model_container: 19
  843. 2022-01-17 13:23:34,285:INFO:master_model_container: 19
  844. 2022-01-17 13:23:34,285:INFO:display_container: 7
  845. 2022-01-17 13:23:34,285:INFO:GaussianNB(priors=None, var_smoothing=0.01)
  846. 2022-01-17 13:23:34,286:INFO:create_model() succesfully completed......................................
  847. 2022-01-17 13:23:34,364:INFO:SubProcess create_model() end ==================================
  848. 2022-01-17 13:23:34,373:INFO:create_model_container: 19
  849. 2022-01-17 13:23:34,374:INFO:master_model_container: 19
  850. 2022-01-17 13:23:34,374:INFO:display_container: 7
  851. 2022-01-17 13:23:34,374:INFO:GaussianNB(priors=None, var_smoothing=0.01)
  852. 2022-01-17 13:23:34,374:INFO:tune_model() succesfully completed......................................
  853. 2022-01-17 13:23:47,434:INFO:Initializing plot_model()
  854. 2022-01-17 13:23:47,435:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=GaussianNB(priors=None, var_smoothing=0.01), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=pr, plot_kwargs=None, save=False, scale=1, system=True)
  855. 2022-01-17 13:23:47,435:INFO:Checking exceptions
  856. 2022-01-17 13:23:47,436:INFO:Preparing display monitor
  857. 2022-01-17 13:23:47,440:INFO:Preloading libraries
  858. 2022-01-17 13:23:47,441:INFO:Copying training dataset
  859. 2022-01-17 13:23:47,443:INFO:Copying test dataset
  860. 2022-01-17 13:23:47,444:INFO:Plot type: pr
  861. 2022-01-17 13:23:47,445:INFO:Fitting Model
  862. 2022-01-17 13:23:47,446:INFO:Scoring test/hold-out set
  863. 2022-01-17 13:23:47,568:INFO:Visual Rendered Successfully
  864. 2022-01-17 13:23:47,644:INFO:plot_model() succesfully completed......................................
  865. 2022-01-17 13:23:51,601:INFO:Initializing plot_model()
  866. 2022-01-17 13:23:51,601:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=GaussianNB(priors=None, var_smoothing=0.01), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  867. 2022-01-17 13:23:51,601:INFO:Checking exceptions
  868. 2022-01-17 13:23:56,530:INFO:Initializing plot_model()
  869. 2022-01-17 13:23:56,531:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=GaussianNB(priors=None, var_smoothing=0.01), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  870. 2022-01-17 13:23:56,531:INFO:Checking exceptions
  871. 2022-01-17 13:24:20,450:INFO:Initializing create_model()
  872. 2022-01-17 13:24:20,451:INFO:create_model(estimator=et, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  873. 2022-01-17 13:24:20,451:INFO:Checking exceptions
  874. 2022-01-17 13:24:20,451:INFO:Preparing display monitor
  875. 2022-01-17 13:24:20,462:INFO:Importing libraries
  876. 2022-01-17 13:24:20,462:INFO:Copying training dataset
  877. 2022-01-17 13:24:20,463:INFO:Defining folds
  878. 2022-01-17 13:24:20,463:INFO:Declaring metric variables
  879. 2022-01-17 13:24:20,468:INFO:Importing untrained model
  880. 2022-01-17 13:24:20,473:INFO:Extra Trees Classifier Imported succesfully
  881. 2022-01-17 13:24:20,483:INFO:Starting cross validation
  882. 2022-01-17 13:24:20,484:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  883. 2022-01-17 13:24:26,180:INFO:Calculating mean and std
  884. 2022-01-17 13:24:26,181:INFO:Creating metrics dataframe
  885. 2022-01-17 13:24:26,188:INFO:Finalizing model
  886. 2022-01-17 13:24:26,427:INFO:Uploading results into container
  887. 2022-01-17 13:24:26,428:INFO:Uploading model into container now
  888. 2022-01-17 13:24:26,438:INFO:create_model_container: 20
  889. 2022-01-17 13:24:26,438:INFO:master_model_container: 20
  890. 2022-01-17 13:24:26,439:INFO:display_container: 8
  891. 2022-01-17 13:24:26,439:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  892. criterion='gini', max_depth=None, max_features='auto',
  893. max_leaf_nodes=None, max_samples=None,
  894. min_impurity_decrease=0.0, min_impurity_split=None,
  895. min_samples_leaf=1, min_samples_split=2,
  896. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  897. oob_score=False, random_state=2921, verbose=0,
  898. warm_start=False)
  899. 2022-01-17 13:24:26,439:INFO:create_model() succesfully completed......................................
  900. 2022-01-17 13:24:29,968:INFO:Initializing tune_model()
  901. 2022-01-17 13:24:29,968:INFO:tune_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  902. criterion='gini', max_depth=None, max_features='auto',
  903. max_leaf_nodes=None, max_samples=None,
  904. min_impurity_decrease=0.0, min_impurity_split=None,
  905. min_samples_leaf=1, min_samples_split=2,
  906. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  907. oob_score=False, random_state=2921, verbose=0,
  908. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  909. 2022-01-17 13:24:29,969:INFO:Checking exceptions
  910. 2022-01-17 13:24:29,970:INFO:Preparing display monitor
  911. 2022-01-17 13:24:29,980:INFO:Copying training dataset
  912. 2022-01-17 13:24:29,981:INFO:Checking base model
  913. 2022-01-17 13:24:29,981:INFO:Base model : Extra Trees Classifier
  914. 2022-01-17 13:24:29,987:INFO:Declaring metric variables
  915. 2022-01-17 13:24:29,991:INFO:Defining Hyperparameters
  916. 2022-01-17 13:24:30,077:INFO:Tuning with n_jobs=-1
  917. 2022-01-17 13:24:30,077:INFO:Initializing RandomizedSearchCV
  918. 2022-01-17 13:24:34,730:INFO:best_params: {'actual_estimator__n_estimators': 40, 'actual_estimator__min_samples_split': 7, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.0002, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 8, 'actual_estimator__criterion': 'entropy', 'actual_estimator__class_weight': {}, 'actual_estimator__bootstrap': False}
  919. 2022-01-17 13:24:34,731:INFO:Hyperparameter search completed
  920. 2022-01-17 13:24:34,731:INFO:SubProcess create_model() called ==================================
  921. 2022-01-17 13:24:34,731:INFO:Initializing create_model()
  922. 2022-01-17 13:24:34,732:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  923. criterion='gini', max_depth=None, max_features='auto',
  924. max_leaf_nodes=None, max_samples=None,
  925. min_impurity_decrease=0.0, min_impurity_split=None,
  926. min_samples_leaf=1, min_samples_split=2,
  927. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  928. oob_score=False, random_state=2921, verbose=0,
  929. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f4b8037c220>, kwargs={'n_estimators': 40, 'min_samples_split': 7, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.0002, 'max_features': 1.0, 'max_depth': 8, 'criterion': 'entropy', 'class_weight': {}, 'bootstrap': False})
  930. 2022-01-17 13:24:34,732:INFO:Checking exceptions
  931. 2022-01-17 13:24:34,732:INFO:Importing libraries
  932. 2022-01-17 13:24:34,732:INFO:Copying training dataset
  933. 2022-01-17 13:24:34,733:INFO:Defining folds
  934. 2022-01-17 13:24:34,733:INFO:Declaring metric variables
  935. 2022-01-17 13:24:34,738:INFO:Importing untrained model
  936. 2022-01-17 13:24:34,738:INFO:Declaring custom model
  937. 2022-01-17 13:24:34,743:INFO:Extra Trees Classifier Imported succesfully
  938. 2022-01-17 13:24:34,753:INFO:Starting cross validation
  939. 2022-01-17 13:24:34,753:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  940. 2022-01-17 13:24:37,798:INFO:Calculating mean and std
  941. 2022-01-17 13:24:37,798:INFO:Creating metrics dataframe
  942. 2022-01-17 13:24:37,805:INFO:Finalizing model
  943. 2022-01-17 13:24:37,916:INFO:Uploading results into container
  944. 2022-01-17 13:24:37,917:INFO:Uploading model into container now
  945. 2022-01-17 13:24:37,917:INFO:create_model_container: 21
  946. 2022-01-17 13:24:37,917:INFO:master_model_container: 21
  947. 2022-01-17 13:24:37,917:INFO:display_container: 9
  948. 2022-01-17 13:24:37,918:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  949. criterion='entropy', max_depth=8, max_features=1.0,
  950. max_leaf_nodes=None, max_samples=None,
  951. min_impurity_decrease=0.0002, min_impurity_split=None,
  952. min_samples_leaf=5, min_samples_split=7,
  953. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  954. oob_score=False, random_state=2921, verbose=0,
  955. warm_start=False)
  956. 2022-01-17 13:24:37,918:INFO:create_model() succesfully completed......................................
  957. 2022-01-17 13:24:37,986:INFO:SubProcess create_model() end ==================================
  958. 2022-01-17 13:24:37,996:INFO:create_model_container: 21
  959. 2022-01-17 13:24:37,997:INFO:master_model_container: 21
  960. 2022-01-17 13:24:37,997:INFO:display_container: 9
  961. 2022-01-17 13:24:37,997:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  962. criterion='entropy', max_depth=8, max_features=1.0,
  963. max_leaf_nodes=None, max_samples=None,
  964. min_impurity_decrease=0.0002, min_impurity_split=None,
  965. min_samples_leaf=5, min_samples_split=7,
  966. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  967. oob_score=False, random_state=2921, verbose=0,
  968. warm_start=False)
  969. 2022-01-17 13:24:37,997:INFO:tune_model() succesfully completed......................................
  970. 2022-01-17 13:24:40,770:INFO:Initializing plot_model()
  971. 2022-01-17 13:24:40,771:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  972. criterion='entropy', max_depth=8, max_features=1.0,
  973. max_leaf_nodes=None, max_samples=None,
  974. min_impurity_decrease=0.0002, min_impurity_split=None,
  975. min_samples_leaf=5, min_samples_split=7,
  976. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  977. oob_score=False, random_state=2921, verbose=0,
  978. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=pr, plot_kwargs=None, save=False, scale=1, system=True)
  979. 2022-01-17 13:24:40,771:INFO:Checking exceptions
  980. 2022-01-17 13:24:40,779:INFO:Preparing display monitor
  981. 2022-01-17 13:24:40,784:INFO:Preloading libraries
  982. 2022-01-17 13:24:40,790:INFO:Copying training dataset
  983. 2022-01-17 13:24:40,791:INFO:Copying test dataset
  984. 2022-01-17 13:24:40,792:INFO:Plot type: pr
  985. 2022-01-17 13:24:40,806:INFO:Fitting Model
  986. 2022-01-17 13:24:40,808:INFO:Scoring test/hold-out set
  987. 2022-01-17 13:24:40,927:INFO:Visual Rendered Successfully
  988. 2022-01-17 13:24:41,004:INFO:plot_model() succesfully completed......................................
  989. 2022-01-17 13:24:44,796:INFO:Initializing plot_model()
  990. 2022-01-17 13:24:44,796:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  991. criterion='entropy', max_depth=8, max_features=1.0,
  992. max_leaf_nodes=None, max_samples=None,
  993. min_impurity_decrease=0.0002, min_impurity_split=None,
  994. min_samples_leaf=5, min_samples_split=7,
  995. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  996. oob_score=False, random_state=2921, verbose=0,
  997. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  998. 2022-01-17 13:24:44,796:INFO:Checking exceptions
  999. 2022-01-17 13:24:44,804:INFO:Preparing display monitor
  1000. 2022-01-17 13:24:44,808:INFO:Preloading libraries
  1001. 2022-01-17 13:24:44,815:INFO:Copying training dataset
  1002. 2022-01-17 13:24:44,815:INFO:Copying test dataset
  1003. 2022-01-17 13:24:44,816:INFO:Plot type: feature
  1004. 2022-01-17 13:24:44,830:WARNING:No coef_ found. Trying feature_importances_
  1005. 2022-01-17 13:24:44,919:INFO:Visual Rendered Successfully
  1006. 2022-01-17 13:24:44,994:INFO:plot_model() succesfully completed......................................
  1007. 2022-01-17 13:46:48,121:INFO:Initializing create_model()
  1008. 2022-01-17 13:46:48,122:INFO:create_model(estimator=et, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  1009. 2022-01-17 13:46:48,122:INFO:Checking exceptions
  1010. 2022-01-17 13:46:48,122:INFO:Preparing display monitor
  1011. 2022-01-17 13:46:48,133:INFO:Importing libraries
  1012. 2022-01-17 13:46:48,134:INFO:Copying training dataset
  1013. 2022-01-17 13:46:48,134:INFO:Defining folds
  1014. 2022-01-17 13:46:48,135:INFO:Declaring metric variables
  1015. 2022-01-17 13:46:48,139:INFO:Importing untrained model
  1016. 2022-01-17 13:46:48,144:INFO:Extra Trees Classifier Imported succesfully
  1017. 2022-01-17 13:46:48,154:INFO:Starting cross validation
  1018. 2022-01-17 13:46:48,154:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1019. 2022-01-17 13:46:54,751:INFO:Calculating mean and std
  1020. 2022-01-17 13:46:54,752:INFO:Creating metrics dataframe
  1021. 2022-01-17 13:46:54,760:INFO:Finalizing model
  1022. 2022-01-17 13:46:55,004:INFO:Uploading results into container
  1023. 2022-01-17 13:46:55,005:INFO:Uploading model into container now
  1024. 2022-01-17 13:46:55,016:INFO:create_model_container: 22
  1025. 2022-01-17 13:46:55,016:INFO:master_model_container: 22
  1026. 2022-01-17 13:46:55,016:INFO:display_container: 10
  1027. 2022-01-17 13:46:55,017:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  1028. criterion='gini', max_depth=None, max_features='auto',
  1029. max_leaf_nodes=None, max_samples=None,
  1030. min_impurity_decrease=0.0, min_impurity_split=None,
  1031. min_samples_leaf=1, min_samples_split=2,
  1032. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  1033. oob_score=False, random_state=2921, verbose=0,
  1034. warm_start=False)
  1035. 2022-01-17 13:46:55,017:INFO:create_model() succesfully completed......................................
  1036. 2022-01-17 13:47:12,691:INFO:Initializing create_model()
  1037. 2022-01-17 13:47:12,691:INFO:create_model(estimator=et, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  1038. 2022-01-17 13:47:12,691:INFO:Checking exceptions
  1039. 2022-01-17 13:47:12,692:INFO:Preparing display monitor
  1040. 2022-01-17 13:47:12,702:INFO:Importing libraries
  1041. 2022-01-17 13:47:12,702:INFO:Copying training dataset
  1042. 2022-01-17 13:47:12,703:INFO:Defining folds
  1043. 2022-01-17 13:47:12,704:INFO:Declaring metric variables
  1044. 2022-01-17 13:47:12,708:INFO:Importing untrained model
  1045. 2022-01-17 13:47:12,713:INFO:Extra Trees Classifier Imported succesfully
  1046. 2022-01-17 13:47:12,723:INFO:Starting cross validation
  1047. 2022-01-17 13:47:12,723:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1048. 2022-01-17 13:47:18,421:INFO:Calculating mean and std
  1049. 2022-01-17 13:47:18,422:INFO:Creating metrics dataframe
  1050. 2022-01-17 13:47:18,430:INFO:Finalizing model
  1051. 2022-01-17 13:47:18,672:INFO:Uploading results into container
  1052. 2022-01-17 13:47:18,673:INFO:Uploading model into container now
  1053. 2022-01-17 13:47:18,683:INFO:create_model_container: 23
  1054. 2022-01-17 13:47:18,684:INFO:master_model_container: 23
  1055. 2022-01-17 13:47:18,684:INFO:display_container: 11
  1056. 2022-01-17 13:47:18,684:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  1057. criterion='gini', max_depth=None, max_features='auto',
  1058. max_leaf_nodes=None, max_samples=None,
  1059. min_impurity_decrease=0.0, min_impurity_split=None,
  1060. min_samples_leaf=1, min_samples_split=2,
  1061. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  1062. oob_score=False, random_state=2921, verbose=0,
  1063. warm_start=False)
  1064. 2022-01-17 13:47:18,684:INFO:create_model() succesfully completed......................................
  1065. 2022-01-17 13:48:54,838:INFO:Initializing plot_model()
  1066. 2022-01-17 13:48:54,838:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1067. criterion='entropy', max_depth=8, max_features=1.0,
  1068. max_leaf_nodes=None, max_samples=None,
  1069. min_impurity_decrease=0.0002, min_impurity_split=None,
  1070. min_samples_leaf=5, min_samples_split=7,
  1071. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1072. oob_score=False, random_state=2921, verbose=0,
  1073. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  1074. 2022-01-17 13:48:54,838:INFO:Checking exceptions
  1075. 2022-01-17 13:48:54,845:INFO:Preparing display monitor
  1076. 2022-01-17 13:48:54,850:INFO:Preloading libraries
  1077. 2022-01-17 13:48:54,856:INFO:Copying training dataset
  1078. 2022-01-17 13:48:54,857:INFO:Copying test dataset
  1079. 2022-01-17 13:48:54,858:INFO:Plot type: auc
  1080. 2022-01-17 13:48:54,874:INFO:Initializing get_config()
  1081. 2022-01-17 13:48:54,874:INFO:get_config(variable=prep_pipe)
  1082. 2022-01-17 13:48:54,877:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1083. steps=[('dtypes',
  1084. DataTypes_Auto_infer(categorical_features=[],
  1085. display_types=True, features_todrop=[],
  1086. id_columns=[],
  1087. ml_usecase='classification',
  1088. numerical_features=[], target='label',
  1089. time_features=[])),
  1090. ('imputer',
  1091. Simple_Imputer(categorical_strategy='not_available',
  1092. fill_value_categorical=None,
  1093. fill_value_numerical=None,
  1094. numeric_strate...
  1095. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1096. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1097. ('cluster_all', 'passthrough'),
  1098. ('dummy', Dummify(target='label')),
  1099. ('fix_perfect', Remove_100(target='label')),
  1100. ('clean_names', Clean_Colum_Names()),
  1101. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1102. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1103. verbose=False)
  1104. 2022-01-17 13:48:54,877:INFO:get_config() succesfully completed......................................
  1105. 2022-01-17 13:48:54,878:INFO:Fitting Model
  1106. 2022-01-17 13:48:54,879:INFO:Scoring test/hold-out set
  1107. 2022-01-17 13:48:55,012:INFO:Visual Rendered Successfully
  1108. 2022-01-17 13:48:55,087:INFO:plot_model() succesfully completed......................................
  1109. 2022-01-17 13:59:28,170:INFO:Initializing plot_model()
  1110. 2022-01-17 13:59:28,171:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1111. criterion='entropy', max_depth=8, max_features=1.0,
  1112. max_leaf_nodes=None, max_samples=None,
  1113. min_impurity_decrease=0.0002, min_impurity_split=None,
  1114. min_samples_leaf=5, min_samples_split=7,
  1115. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1116. oob_score=False, random_state=2921, verbose=0,
  1117. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  1118. 2022-01-17 13:59:28,171:INFO:Checking exceptions
  1119. 2022-01-17 13:59:28,178:INFO:Preparing display monitor
  1120. 2022-01-17 13:59:28,184:INFO:Preloading libraries
  1121. 2022-01-17 13:59:28,188:INFO:Copying training dataset
  1122. 2022-01-17 13:59:28,189:INFO:Copying test dataset
  1123. 2022-01-17 13:59:28,189:INFO:Plot type: auc
  1124. 2022-01-17 13:59:28,204:INFO:Initializing get_config()
  1125. 2022-01-17 13:59:28,204:INFO:get_config(variable=prep_pipe)
  1126. 2022-01-17 13:59:28,207:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1127. steps=[('dtypes',
  1128. DataTypes_Auto_infer(categorical_features=[],
  1129. display_types=True, features_todrop=[],
  1130. id_columns=[],
  1131. ml_usecase='classification',
  1132. numerical_features=[], target='label',
  1133. time_features=[])),
  1134. ('imputer',
  1135. Simple_Imputer(categorical_strategy='not_available',
  1136. fill_value_categorical=None,
  1137. fill_value_numerical=None,
  1138. numeric_strate...
  1139. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1140. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1141. ('cluster_all', 'passthrough'),
  1142. ('dummy', Dummify(target='label')),
  1143. ('fix_perfect', Remove_100(target='label')),
  1144. ('clean_names', Clean_Colum_Names()),
  1145. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1146. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1147. verbose=False)
  1148. 2022-01-17 13:59:28,207:INFO:get_config() succesfully completed......................................
  1149. 2022-01-17 13:59:28,207:INFO:Fitting Model
  1150. 2022-01-17 13:59:28,209:INFO:Scoring test/hold-out set
  1151. 2022-01-17 13:59:28,339:INFO:Visual Rendered Successfully
  1152. 2022-01-17 13:59:28,412:INFO:plot_model() succesfully completed......................................
  1153. 2022-01-17 13:59:32,803:INFO:Initializing plot_model()
  1154. 2022-01-17 13:59:32,804:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1155. criterion='entropy', max_depth=8, max_features=1.0,
  1156. max_leaf_nodes=None, max_samples=None,
  1157. min_impurity_decrease=0.0002, min_impurity_split=None,
  1158. min_samples_leaf=5, min_samples_split=7,
  1159. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1160. oob_score=False, random_state=2921, verbose=0,
  1161. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  1162. 2022-01-17 13:59:32,804:INFO:Checking exceptions
  1163. 2022-01-17 13:59:32,812:INFO:Preparing display monitor
  1164. 2022-01-17 13:59:32,816:INFO:Preloading libraries
  1165. 2022-01-17 13:59:32,822:INFO:Copying training dataset
  1166. 2022-01-17 13:59:32,823:INFO:Copying test dataset
  1167. 2022-01-17 13:59:32,823:INFO:Plot type: auc
  1168. 2022-01-17 13:59:32,838:INFO:Initializing get_config()
  1169. 2022-01-17 13:59:32,838:INFO:get_config(variable=prep_pipe)
  1170. 2022-01-17 13:59:32,840:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1171. steps=[('dtypes',
  1172. DataTypes_Auto_infer(categorical_features=[],
  1173. display_types=True, features_todrop=[],
  1174. id_columns=[],
  1175. ml_usecase='classification',
  1176. numerical_features=[], target='label',
  1177. time_features=[])),
  1178. ('imputer',
  1179. Simple_Imputer(categorical_strategy='not_available',
  1180. fill_value_categorical=None,
  1181. fill_value_numerical=None,
  1182. numeric_strate...
  1183. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1184. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1185. ('cluster_all', 'passthrough'),
  1186. ('dummy', Dummify(target='label')),
  1187. ('fix_perfect', Remove_100(target='label')),
  1188. ('clean_names', Clean_Colum_Names()),
  1189. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1190. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1191. verbose=False)
  1192. 2022-01-17 13:59:32,841:INFO:get_config() succesfully completed......................................
  1193. 2022-01-17 13:59:32,841:INFO:Fitting Model
  1194. 2022-01-17 13:59:32,843:INFO:Scoring test/hold-out set
  1195. 2022-01-17 13:59:32,974:INFO:Visual Rendered Successfully
  1196. 2022-01-17 13:59:33,048:INFO:plot_model() succesfully completed......................................
  1197. 2022-01-17 14:00:28,156:INFO:Initializing evaluate_model()
  1198. 2022-01-17 14:00:28,156:INFO:evaluate_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1199. criterion='entropy', max_depth=8, max_features=1.0,
  1200. max_leaf_nodes=None, max_samples=None,
  1201. min_impurity_decrease=0.0002, min_impurity_split=None,
  1202. min_samples_leaf=5, min_samples_split=7,
  1203. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1204. oob_score=False, random_state=2921, verbose=0,
  1205. warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  1206. 2022-01-17 14:00:28,175:INFO:Initializing plot_model()
  1207. 2022-01-17 14:00:28,176:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1208. criterion='entropy', max_depth=8, max_features=1.0,
  1209. max_leaf_nodes=None, max_samples=None,
  1210. min_impurity_decrease=0.0002, min_impurity_split=None,
  1211. min_samples_leaf=5, min_samples_split=7,
  1212. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1213. oob_score=False, random_state=2921, verbose=0,
  1214. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  1215. 2022-01-17 14:00:28,176:INFO:Checking exceptions
  1216. 2022-01-17 14:00:28,183:INFO:Preparing display monitor
  1217. 2022-01-17 14:00:28,188:INFO:Preloading libraries
  1218. 2022-01-17 14:00:28,194:INFO:Copying training dataset
  1219. 2022-01-17 14:00:28,194:INFO:Copying test dataset
  1220. 2022-01-17 14:00:28,195:INFO:Plot type: parameter
  1221. 2022-01-17 14:00:28,212:INFO:Visual Rendered Successfully
  1222. 2022-01-17 14:00:28,289:INFO:plot_model() succesfully completed......................................
  1223. 2022-01-17 14:00:36,182:INFO:Initializing plot_model()
  1224. 2022-01-17 14:00:36,182:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1225. criterion='entropy', max_depth=8, max_features=1.0,
  1226. max_leaf_nodes=None, max_samples=None,
  1227. min_impurity_decrease=0.0002, min_impurity_split=None,
  1228. min_samples_leaf=5, min_samples_split=7,
  1229. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1230. oob_score=False, random_state=2921, verbose=0,
  1231. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  1232. 2022-01-17 14:00:36,183:INFO:Checking exceptions
  1233. 2022-01-17 14:00:36,190:INFO:Preparing display monitor
  1234. 2022-01-17 14:00:36,195:INFO:Preloading libraries
  1235. 2022-01-17 14:00:36,199:INFO:Copying training dataset
  1236. 2022-01-17 14:00:36,200:INFO:Copying test dataset
  1237. 2022-01-17 14:00:36,200:INFO:Plot type: auc
  1238. 2022-01-17 14:00:36,215:INFO:Initializing get_config()
  1239. 2022-01-17 14:00:36,215:INFO:get_config(variable=prep_pipe)
  1240. 2022-01-17 14:00:36,218:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1241. steps=[('dtypes',
  1242. DataTypes_Auto_infer(categorical_features=[],
  1243. display_types=True, features_todrop=[],
  1244. id_columns=[],
  1245. ml_usecase='classification',
  1246. numerical_features=[], target='label',
  1247. time_features=[])),
  1248. ('imputer',
  1249. Simple_Imputer(categorical_strategy='not_available',
  1250. fill_value_categorical=None,
  1251. fill_value_numerical=None,
  1252. numeric_strate...
  1253. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1254. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1255. ('cluster_all', 'passthrough'),
  1256. ('dummy', Dummify(target='label')),
  1257. ('fix_perfect', Remove_100(target='label')),
  1258. ('clean_names', Clean_Colum_Names()),
  1259. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1260. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1261. verbose=False)
  1262. 2022-01-17 14:00:36,218:INFO:get_config() succesfully completed......................................
  1263. 2022-01-17 14:00:36,219:INFO:Fitting Model
  1264. 2022-01-17 14:00:36,220:INFO:Scoring test/hold-out set
  1265. 2022-01-17 14:00:36,351:INFO:Visual Rendered Successfully
  1266. 2022-01-17 14:00:36,423:INFO:plot_model() succesfully completed......................................
  1267. 2022-01-17 14:00:38,272:INFO:Initializing plot_model()
  1268. 2022-01-17 14:00:38,273:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1269. criterion='entropy', max_depth=8, max_features=1.0,
  1270. max_leaf_nodes=None, max_samples=None,
  1271. min_impurity_decrease=0.0002, min_impurity_split=None,
  1272. min_samples_leaf=5, min_samples_split=7,
  1273. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1274. oob_score=False, random_state=2921, verbose=0,
  1275. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  1276. 2022-01-17 14:00:38,273:INFO:Checking exceptions
  1277. 2022-01-17 14:00:38,281:INFO:Preparing display monitor
  1278. 2022-01-17 14:00:38,286:INFO:Preloading libraries
  1279. 2022-01-17 14:00:38,289:INFO:Copying training dataset
  1280. 2022-01-17 14:00:38,290:INFO:Copying test dataset
  1281. 2022-01-17 14:00:38,290:INFO:Plot type: confusion_matrix
  1282. 2022-01-17 14:00:38,305:INFO:Initializing get_config()
  1283. 2022-01-17 14:00:38,305:INFO:get_config(variable=prep_pipe)
  1284. 2022-01-17 14:00:38,308:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1285. steps=[('dtypes',
  1286. DataTypes_Auto_infer(categorical_features=[],
  1287. display_types=True, features_todrop=[],
  1288. id_columns=[],
  1289. ml_usecase='classification',
  1290. numerical_features=[], target='label',
  1291. time_features=[])),
  1292. ('imputer',
  1293. Simple_Imputer(categorical_strategy='not_available',
  1294. fill_value_categorical=None,
  1295. fill_value_numerical=None,
  1296. numeric_strate...
  1297. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1298. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1299. ('cluster_all', 'passthrough'),
  1300. ('dummy', Dummify(target='label')),
  1301. ('fix_perfect', Remove_100(target='label')),
  1302. ('clean_names', Clean_Colum_Names()),
  1303. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1304. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1305. verbose=False)
  1306. 2022-01-17 14:00:38,308:INFO:get_config() succesfully completed......................................
  1307. 2022-01-17 14:00:38,309:INFO:Fitting Model
  1308. 2022-01-17 14:00:38,310:INFO:Scoring test/hold-out set
  1309. 2022-01-17 14:00:38,440:INFO:Visual Rendered Successfully
  1310. 2022-01-17 14:00:38,514:INFO:plot_model() succesfully completed......................................
  1311. 2022-01-17 14:00:43,883:INFO:Initializing plot_model()
  1312. 2022-01-17 14:00:43,884:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1313. criterion='entropy', max_depth=8, max_features=1.0,
  1314. max_leaf_nodes=None, max_samples=None,
  1315. min_impurity_decrease=0.0002, min_impurity_split=None,
  1316. min_samples_leaf=5, min_samples_split=7,
  1317. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1318. oob_score=False, random_state=2921, verbose=0,
  1319. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  1320. 2022-01-17 14:00:43,884:INFO:Checking exceptions
  1321. 2022-01-17 14:00:43,892:INFO:Preparing display monitor
  1322. 2022-01-17 14:00:43,897:INFO:Preloading libraries
  1323. 2022-01-17 14:00:43,904:INFO:Copying training dataset
  1324. 2022-01-17 14:00:43,904:INFO:Copying test dataset
  1325. 2022-01-17 14:00:43,905:INFO:Plot type: threshold
  1326. 2022-01-17 14:00:43,920:INFO:Fitting Model
  1327. 2022-01-17 14:00:50,535:INFO:Scoring test/hold-out set
  1328. 2022-01-17 14:00:50,795:INFO:Visual Rendered Successfully
  1329. 2022-01-17 14:00:50,867:INFO:plot_model() succesfully completed......................................
  1330. 2022-01-17 14:01:11,484:INFO:Initializing plot_model()
  1331. 2022-01-17 14:01:11,485:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1332. criterion='entropy', max_depth=8, max_features=1.0,
  1333. max_leaf_nodes=None, max_samples=None,
  1334. min_impurity_decrease=0.0002, min_impurity_split=None,
  1335. min_samples_leaf=5, min_samples_split=7,
  1336. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1337. oob_score=False, random_state=2921, verbose=0,
  1338. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  1339. 2022-01-17 14:01:11,485:INFO:Checking exceptions
  1340. 2022-01-17 14:01:11,493:INFO:Preparing display monitor
  1341. 2022-01-17 14:01:11,498:INFO:Preloading libraries
  1342. 2022-01-17 14:01:11,504:INFO:Copying training dataset
  1343. 2022-01-17 14:01:11,504:INFO:Copying test dataset
  1344. 2022-01-17 14:01:11,505:INFO:Plot type: pr
  1345. 2022-01-17 14:01:11,519:INFO:Fitting Model
  1346. 2022-01-17 14:01:11,521:INFO:Scoring test/hold-out set
  1347. 2022-01-17 14:01:11,634:INFO:Visual Rendered Successfully
  1348. 2022-01-17 14:01:11,707:INFO:plot_model() succesfully completed......................................
  1349. 2022-01-17 14:01:16,622:INFO:Initializing plot_model()
  1350. 2022-01-17 14:01:16,622:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1351. criterion='entropy', max_depth=8, max_features=1.0,
  1352. max_leaf_nodes=None, max_samples=None,
  1353. min_impurity_decrease=0.0002, min_impurity_split=None,
  1354. min_samples_leaf=5, min_samples_split=7,
  1355. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1356. oob_score=False, random_state=2921, verbose=0,
  1357. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  1358. 2022-01-17 14:01:16,622:INFO:Checking exceptions
  1359. 2022-01-17 14:01:16,630:INFO:Preparing display monitor
  1360. 2022-01-17 14:01:16,635:INFO:Preloading libraries
  1361. 2022-01-17 14:01:16,641:INFO:Copying training dataset
  1362. 2022-01-17 14:01:16,642:INFO:Copying test dataset
  1363. 2022-01-17 14:01:16,642:INFO:Plot type: error
  1364. 2022-01-17 14:01:16,657:INFO:Initializing get_config()
  1365. 2022-01-17 14:01:16,657:INFO:get_config(variable=prep_pipe)
  1366. 2022-01-17 14:01:16,661:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1367. steps=[('dtypes',
  1368. DataTypes_Auto_infer(categorical_features=[],
  1369. display_types=True, features_todrop=[],
  1370. id_columns=[],
  1371. ml_usecase='classification',
  1372. numerical_features=[], target='label',
  1373. time_features=[])),
  1374. ('imputer',
  1375. Simple_Imputer(categorical_strategy='not_available',
  1376. fill_value_categorical=None,
  1377. fill_value_numerical=None,
  1378. numeric_strate...
  1379. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1380. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1381. ('cluster_all', 'passthrough'),
  1382. ('dummy', Dummify(target='label')),
  1383. ('fix_perfect', Remove_100(target='label')),
  1384. ('clean_names', Clean_Colum_Names()),
  1385. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1386. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1387. verbose=False)
  1388. 2022-01-17 14:01:16,661:INFO:get_config() succesfully completed......................................
  1389. 2022-01-17 14:01:16,662:INFO:Fitting Model
  1390. 2022-01-17 14:01:16,663:INFO:Scoring test/hold-out set
  1391. 2022-01-17 14:01:16,780:INFO:Visual Rendered Successfully
  1392. 2022-01-17 14:01:16,854:INFO:plot_model() succesfully completed......................................
  1393. 2022-01-17 14:01:29,238:INFO:Initializing plot_model()
  1394. 2022-01-17 14:01:29,239:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1395. criterion='entropy', max_depth=8, max_features=1.0,
  1396. max_leaf_nodes=None, max_samples=None,
  1397. min_impurity_decrease=0.0002, min_impurity_split=None,
  1398. min_samples_leaf=5, min_samples_split=7,
  1399. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1400. oob_score=False, random_state=2921, verbose=0,
  1401. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  1402. 2022-01-17 14:01:29,239:INFO:Checking exceptions
  1403. 2022-01-17 14:01:29,247:INFO:Preparing display monitor
  1404. 2022-01-17 14:01:29,252:INFO:Preloading libraries
  1405. 2022-01-17 14:01:29,256:INFO:Copying training dataset
  1406. 2022-01-17 14:01:29,257:INFO:Copying test dataset
  1407. 2022-01-17 14:01:29,257:INFO:Plot type: class_report
  1408. 2022-01-17 14:01:29,272:INFO:Initializing get_config()
  1409. 2022-01-17 14:01:29,272:INFO:get_config(variable=prep_pipe)
  1410. 2022-01-17 14:01:29,275:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  1411. steps=[('dtypes',
  1412. DataTypes_Auto_infer(categorical_features=[],
  1413. display_types=True, features_todrop=[],
  1414. id_columns=[],
  1415. ml_usecase='classification',
  1416. numerical_features=[], target='label',
  1417. time_features=[])),
  1418. ('imputer',
  1419. Simple_Imputer(categorical_strategy='not_available',
  1420. fill_value_categorical=None,
  1421. fill_value_numerical=None,
  1422. numeric_strate...
  1423. ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
  1424. ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
  1425. ('cluster_all', 'passthrough'),
  1426. ('dummy', Dummify(target='label')),
  1427. ('fix_perfect', Remove_100(target='label')),
  1428. ('clean_names', Clean_Colum_Names()),
  1429. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1430. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1431. verbose=False)
  1432. 2022-01-17 14:01:29,275:INFO:get_config() succesfully completed......................................
  1433. 2022-01-17 14:01:29,276:INFO:Fitting Model
  1434. 2022-01-17 14:01:29,277:INFO:Scoring test/hold-out set
  1435. 2022-01-17 14:01:29,423:INFO:Visual Rendered Successfully
  1436. 2022-01-17 14:01:29,503:INFO:plot_model() succesfully completed......................................
  1437. 2022-01-17 14:01:54,753:INFO:Initializing plot_model()
  1438. 2022-01-17 14:01:54,753:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  1439. criterion='entropy', max_depth=8, max_features=1.0,
  1440. max_leaf_nodes=None, max_samples=None,
  1441. min_impurity_decrease=0.0002, min_impurity_split=None,
  1442. min_samples_leaf=5, min_samples_split=7,
  1443. min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
  1444. oob_score=False, random_state=2921, verbose=0,
  1445. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
  1446. 2022-01-17 14:01:54,754:INFO:Checking exceptions
  1447. 2022-01-17 14:01:54,761:INFO:Preparing display monitor
  1448. 2022-01-17 14:01:54,766:INFO:Preloading libraries
  1449. 2022-01-17 14:01:54,772:INFO:Copying training dataset
  1450. 2022-01-17 14:01:54,772:INFO:Copying test dataset
  1451. 2022-01-17 14:01:54,773:INFO:Plot type: rfe
  1452. 2022-01-17 14:01:54,791:INFO:Fitting Model
  1453. 2022-01-17 14:04:24,292:INFO:PyCaret Supervised Module
  1454. 2022-01-17 14:04:24,293:INFO:ML Usecase: classification
  1455. 2022-01-17 14:04:24,293:INFO:version 2.3.6
  1456. 2022-01-17 14:04:24,293:INFO:Initializing setup()
  1457. 2022-01-17 14:04:24,293:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  1458. 2022-01-17 14:04:24,294:INFO:Checking environment
  1459. 2022-01-17 14:04:24,294:INFO:python_version: 3.8.8
  1460. 2022-01-17 14:04:24,294:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  1461. 2022-01-17 14:04:24,294:INFO:machine: x86_64
  1462. 2022-01-17 14:04:24,294:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  1463. 2022-01-17 14:04:24,295:INFO:Memory: svmem(total=33619935232, available=30072115200, percent=10.6, used=2706968576, free=27690291200, active=918413312, inactive=4432015360, buffers=585072640, cached=2637602816, shared=383528960, slab=288608256)
  1464. 2022-01-17 14:04:24,295:INFO:Physical Core: 16
  1465. 2022-01-17 14:04:24,296:INFO:Logical Core: 32
  1466. 2022-01-17 14:04:24,296:INFO:Checking libraries
  1467. 2022-01-17 14:04:24,296:INFO:pd==1.2.4
  1468. 2022-01-17 14:04:24,296:INFO:numpy==1.19.5
  1469. 2022-01-17 14:04:24,296:INFO:sklearn==0.23.2
  1470. 2022-01-17 14:04:24,296:INFO:lightgbm==3.3.2
  1471. 2022-01-17 14:04:24,297:WARNING:catboost not found
  1472. 2022-01-17 14:04:24,297:WARNING:xgboost not found
  1473. 2022-01-17 14:04:24,422:INFO:mlflow==1.22.0
  1474. 2022-01-17 14:04:24,422:INFO:Checking Exceptions
  1475. 2022-01-17 14:04:24,423:INFO:Declaring global variables
  1476. 2022-01-17 14:04:24,423:INFO:USI: 1037
  1477. 2022-01-17 14:04:24,423:INFO:pycaret_globals: {'logging_param', '_all_models_internal', 'fold_groups_param_full', 'n_jobs_param', 'transform_target_method_param', 'seed', 'fix_imbalance_method_param', 'y', 'data_before_preprocess', 'fold_param', 'imputation_regressor', 'transform_target_param', 'create_model_container', 'USI', '_ml_usecase', 'exp_name_log', '_internal_pipeline', 'iterative_imputation_iters_param', 'X', 'experiment__', 'fix_imbalance_param', '_available_plots', 'gpu_param', 'stratify_param', 'pycaret_globals', 'master_model_container', 'imputation_classifier', 'X_train', '_all_metrics', '_all_models', 'display_container', 'y_train', 'target_param', 'fold_groups_param', 'html_param', 'prep_pipe', '_gpu_n_jobs_param', 'fold_shuffle_param', 'fold_generator', 'X_test', 'y_test', 'log_plots_param'}
  1478. 2022-01-17 14:04:24,423:INFO:Preparing display monitor
  1479. 2022-01-17 14:04:24,423:INFO:Preparing display monitor
  1480. 2022-01-17 14:04:24,433:INFO:Importing libraries
  1481. 2022-01-17 14:04:24,433:INFO:Copying data for preprocessing
  1482. 2022-01-17 14:04:24,438:INFO:Declaring preprocessing parameters
  1483. 2022-01-17 14:04:24,439:WARNING:cuML not found
  1484. 2022-01-17 14:04:24,439:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  1485. 2022-01-17 14:04:24,441:INFO:Creating preprocessing pipeline
  1486. 2022-01-17 14:04:24,457:INFO:Preprocessing pipeline created successfully
  1487. 2022-01-17 14:04:24,457:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  1488. 2022-01-17 14:04:24,457:INFO:Creating global containers
  1489. 2022-01-17 14:04:24,458:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  1490. 2022-01-17 14:04:40,146:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  1491. 2022-01-17 14:04:40,173:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  1492. 2022-01-17 14:04:40,175:WARNING:Couldn't import cuml.MBSGDClassifier
  1493. 2022-01-17 14:04:40,176:WARNING:Couldn't import cuml.svm.SVC
  1494. 2022-01-17 14:04:40,191:WARNING:Couldn't import cuml.linear_model
  1495. 2022-01-17 14:04:40,194:WARNING:Couldn't import cuml.ensemble
  1496. 2022-01-17 14:04:40,197:WARNING:Couldn't import xgboost.XGBClassifier
  1497. 2022-01-17 14:04:40,202:WARNING:Couldn't import catboost.CatBoostClassifier
  1498. 2022-01-17 14:04:40,203:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  1499. 2022-01-17 14:04:40,233:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  1500. 2022-01-17 14:04:40,233:WARNING:Couldn't import cuml.MBSGDClassifier
  1501. 2022-01-17 14:04:40,234:WARNING:Couldn't import cuml.svm.SVC
  1502. 2022-01-17 14:04:40,249:WARNING:Couldn't import cuml.linear_model
  1503. 2022-01-17 14:04:40,252:WARNING:Couldn't import cuml.ensemble
  1504. 2022-01-17 14:04:40,253:WARNING:Couldn't import xgboost.XGBClassifier
  1505. 2022-01-17 14:04:40,258:WARNING:Couldn't import catboost.CatBoostClassifier
  1506. 2022-01-17 14:04:40,258:INFO:Creating grid variables
  1507. 2022-01-17 14:04:40,269:INFO:create_model_container: 0
  1508. 2022-01-17 14:04:40,269:INFO:master_model_container: 0
  1509. 2022-01-17 14:04:40,270:INFO:display_container: 1
  1510. 2022-01-17 14:04:40,272:INFO:Pipeline(memory=None,
  1511. steps=[('dtypes',
  1512. DataTypes_Auto_infer(categorical_features=[],
  1513. display_types=True, features_todrop=[],
  1514. id_columns=[],
  1515. ml_usecase='classification',
  1516. numerical_features=[], target='label',
  1517. time_features=[])),
  1518. ('imputer',
  1519. Simple_Imputer(categorical_strategy='not_available',
  1520. fill_value_categorical=None,
  1521. fill_value_numerical=None,
  1522. numeric_strate...
  1523. target='label')),
  1524. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  1525. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  1526. ('dummy', Dummify(target='label')),
  1527. ('fix_perfect', Remove_100(target='label')),
  1528. ('clean_names', Clean_Colum_Names()),
  1529. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  1530. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  1531. verbose=False)
  1532. 2022-01-17 14:04:40,273:INFO:setup() succesfully completed......................................
  1533. 2022-01-17 14:04:47,159:INFO:Initializing compare_models()
  1534. 2022-01-17 14:04:47,160:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  1535. 2022-01-17 14:04:47,160:INFO:Checking exceptions
  1536. 2022-01-17 14:04:47,161:INFO:Preparing display monitor
  1537. 2022-01-17 14:04:47,161:INFO:Preparing display monitor
  1538. 2022-01-17 14:04:47,177:INFO:Initializing Logistic Regression
  1539. 2022-01-17 14:04:47,177:INFO:Total runtime is 4.955132802327474e-06 minutes
  1540. 2022-01-17 14:04:47,183:INFO:SubProcess create_model() called ==================================
  1541. 2022-01-17 14:04:47,183:INFO:Initializing create_model()
  1542. 2022-01-17 14:04:47,183:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1543. 2022-01-17 14:04:47,183:INFO:Checking exceptions
  1544. 2022-01-17 14:04:47,183:INFO:Importing libraries
  1545. 2022-01-17 14:04:47,184:INFO:Copying training dataset
  1546. 2022-01-17 14:04:47,184:INFO:Defining folds
  1547. 2022-01-17 14:04:47,185:INFO:Declaring metric variables
  1548. 2022-01-17 14:04:47,190:INFO:Importing untrained model
  1549. 2022-01-17 14:04:47,195:INFO:Logistic Regression Imported succesfully
  1550. 2022-01-17 14:04:47,204:INFO:Starting cross validation
  1551. 2022-01-17 14:04:47,205:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1552. 2022-01-17 14:04:49,125:INFO:Calculating mean and std
  1553. 2022-01-17 14:04:49,126:INFO:Creating metrics dataframe
  1554. 2022-01-17 14:04:49,132:INFO:Uploading results into container
  1555. 2022-01-17 14:04:49,133:INFO:Uploading model into container now
  1556. 2022-01-17 14:04:49,133:INFO:create_model_container: 1
  1557. 2022-01-17 14:04:49,133:INFO:master_model_container: 1
  1558. 2022-01-17 14:04:49,133:INFO:display_container: 2
  1559. 2022-01-17 14:04:49,134:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  1560. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  1561. multi_class='auto', n_jobs=None, penalty='l2',
  1562. random_state=7446, solver='lbfgs', tol=0.0001, verbose=0,
  1563. warm_start=False)
  1564. 2022-01-17 14:04:49,134:INFO:create_model() succesfully completed......................................
  1565. 2022-01-17 14:04:49,224:INFO:SubProcess create_model() end ==================================
  1566. 2022-01-17 14:04:49,224:INFO:Creating metrics dataframe
  1567. 2022-01-17 14:04:49,235:INFO:Initializing K Neighbors Classifier
  1568. 2022-01-17 14:04:49,235:INFO:Total runtime is 0.03429919481277466 minutes
  1569. 2022-01-17 14:04:49,241:INFO:SubProcess create_model() called ==================================
  1570. 2022-01-17 14:04:49,241:INFO:Initializing create_model()
  1571. 2022-01-17 14:04:49,241:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1572. 2022-01-17 14:04:49,242:INFO:Checking exceptions
  1573. 2022-01-17 14:04:49,242:INFO:Importing libraries
  1574. 2022-01-17 14:04:49,242:INFO:Copying training dataset
  1575. 2022-01-17 14:04:49,243:INFO:Defining folds
  1576. 2022-01-17 14:04:49,243:INFO:Declaring metric variables
  1577. 2022-01-17 14:04:49,249:INFO:Importing untrained model
  1578. 2022-01-17 14:04:49,254:INFO:K Neighbors Classifier Imported succesfully
  1579. 2022-01-17 14:04:49,266:INFO:Starting cross validation
  1580. 2022-01-17 14:04:49,267:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1581. 2022-01-17 14:04:54,831:INFO:Calculating mean and std
  1582. 2022-01-17 14:04:54,832:INFO:Creating metrics dataframe
  1583. 2022-01-17 14:04:54,835:INFO:Uploading results into container
  1584. 2022-01-17 14:04:54,835:INFO:Uploading model into container now
  1585. 2022-01-17 14:04:54,836:INFO:create_model_container: 2
  1586. 2022-01-17 14:04:54,836:INFO:master_model_container: 2
  1587. 2022-01-17 14:04:54,836:INFO:display_container: 2
  1588. 2022-01-17 14:04:54,836:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  1589. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  1590. weights='uniform')
  1591. 2022-01-17 14:04:54,836:INFO:create_model() succesfully completed......................................
  1592. 2022-01-17 14:04:54,908:INFO:SubProcess create_model() end ==================================
  1593. 2022-01-17 14:04:54,908:INFO:Creating metrics dataframe
  1594. 2022-01-17 14:04:54,919:INFO:Initializing Naive Bayes
  1595. 2022-01-17 14:04:54,919:INFO:Total runtime is 0.12903836170832317 minutes
  1596. 2022-01-17 14:04:54,925:INFO:SubProcess create_model() called ==================================
  1597. 2022-01-17 14:04:54,925:INFO:Initializing create_model()
  1598. 2022-01-17 14:04:54,925:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1599. 2022-01-17 14:04:54,925:INFO:Checking exceptions
  1600. 2022-01-17 14:04:54,926:INFO:Importing libraries
  1601. 2022-01-17 14:04:54,926:INFO:Copying training dataset
  1602. 2022-01-17 14:04:54,927:INFO:Defining folds
  1603. 2022-01-17 14:04:54,927:INFO:Declaring metric variables
  1604. 2022-01-17 14:04:54,932:INFO:Importing untrained model
  1605. 2022-01-17 14:04:54,937:INFO:Naive Bayes Imported succesfully
  1606. 2022-01-17 14:04:54,948:INFO:Starting cross validation
  1607. 2022-01-17 14:04:54,949:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1608. 2022-01-17 14:04:55,055:INFO:Calculating mean and std
  1609. 2022-01-17 14:04:55,056:INFO:Creating metrics dataframe
  1610. 2022-01-17 14:04:55,059:INFO:Uploading results into container
  1611. 2022-01-17 14:04:55,059:INFO:Uploading model into container now
  1612. 2022-01-17 14:04:55,059:INFO:create_model_container: 3
  1613. 2022-01-17 14:04:55,059:INFO:master_model_container: 3
  1614. 2022-01-17 14:04:55,060:INFO:display_container: 2
  1615. 2022-01-17 14:04:55,060:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  1616. 2022-01-17 14:04:55,060:INFO:create_model() succesfully completed......................................
  1617. 2022-01-17 14:04:55,126:INFO:SubProcess create_model() end ==================================
  1618. 2022-01-17 14:04:55,126:INFO:Creating metrics dataframe
  1619. 2022-01-17 14:04:55,137:INFO:Initializing Decision Tree Classifier
  1620. 2022-01-17 14:04:55,138:INFO:Total runtime is 0.13267539739608766 minutes
  1621. 2022-01-17 14:04:55,143:INFO:SubProcess create_model() called ==================================
  1622. 2022-01-17 14:04:55,143:INFO:Initializing create_model()
  1623. 2022-01-17 14:04:55,144:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1624. 2022-01-17 14:04:55,144:INFO:Checking exceptions
  1625. 2022-01-17 14:04:55,144:INFO:Importing libraries
  1626. 2022-01-17 14:04:55,144:INFO:Copying training dataset
  1627. 2022-01-17 14:04:55,145:INFO:Defining folds
  1628. 2022-01-17 14:04:55,145:INFO:Declaring metric variables
  1629. 2022-01-17 14:04:55,150:INFO:Importing untrained model
  1630. 2022-01-17 14:04:55,154:INFO:Decision Tree Classifier Imported succesfully
  1631. 2022-01-17 14:04:55,165:INFO:Starting cross validation
  1632. 2022-01-17 14:04:55,165:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1633. 2022-01-17 14:04:55,407:INFO:Calculating mean and std
  1634. 2022-01-17 14:04:55,408:INFO:Creating metrics dataframe
  1635. 2022-01-17 14:04:55,411:INFO:Uploading results into container
  1636. 2022-01-17 14:04:55,411:INFO:Uploading model into container now
  1637. 2022-01-17 14:04:55,412:INFO:create_model_container: 4
  1638. 2022-01-17 14:04:55,412:INFO:master_model_container: 4
  1639. 2022-01-17 14:04:55,412:INFO:display_container: 2
  1640. 2022-01-17 14:04:55,412:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  1641. max_depth=None, max_features=None, max_leaf_nodes=None,
  1642. min_impurity_decrease=0.0, min_impurity_split=None,
  1643. min_samples_leaf=1, min_samples_split=2,
  1644. min_weight_fraction_leaf=0.0, presort='deprecated',
  1645. random_state=7446, splitter='best')
  1646. 2022-01-17 14:04:55,412:INFO:create_model() succesfully completed......................................
  1647. 2022-01-17 14:04:55,474:INFO:SubProcess create_model() end ==================================
  1648. 2022-01-17 14:04:55,475:INFO:Creating metrics dataframe
  1649. 2022-01-17 14:04:55,486:INFO:Initializing SVM - Linear Kernel
  1650. 2022-01-17 14:04:55,486:INFO:Total runtime is 0.13847911755243938 minutes
  1651. 2022-01-17 14:04:55,491:INFO:SubProcess create_model() called ==================================
  1652. 2022-01-17 14:04:55,491:INFO:Initializing create_model()
  1653. 2022-01-17 14:04:55,491:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1654. 2022-01-17 14:04:55,492:INFO:Checking exceptions
  1655. 2022-01-17 14:04:55,492:INFO:Importing libraries
  1656. 2022-01-17 14:04:55,492:INFO:Copying training dataset
  1657. 2022-01-17 14:04:55,493:INFO:Defining folds
  1658. 2022-01-17 14:04:55,493:INFO:Declaring metric variables
  1659. 2022-01-17 14:04:55,498:INFO:Importing untrained model
  1660. 2022-01-17 14:04:55,502:INFO:SVM - Linear Kernel Imported succesfully
  1661. 2022-01-17 14:04:55,512:INFO:Starting cross validation
  1662. 2022-01-17 14:04:55,513:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1663. 2022-01-17 14:04:56,098:INFO:Calculating mean and std
  1664. 2022-01-17 14:04:56,099:INFO:Creating metrics dataframe
  1665. 2022-01-17 14:04:56,104:INFO:Uploading results into container
  1666. 2022-01-17 14:04:56,105:INFO:Uploading model into container now
  1667. 2022-01-17 14:04:56,105:INFO:create_model_container: 5
  1668. 2022-01-17 14:04:56,105:INFO:master_model_container: 5
  1669. 2022-01-17 14:04:56,105:INFO:display_container: 2
  1670. 2022-01-17 14:04:56,106:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  1671. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  1672. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  1673. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  1674. power_t=0.5, random_state=7446, shuffle=True, tol=0.001,
  1675. validation_fraction=0.1, verbose=0, warm_start=False)
  1676. 2022-01-17 14:04:56,106:INFO:create_model() succesfully completed......................................
  1677. 2022-01-17 14:04:56,191:INFO:SubProcess create_model() end ==================================
  1678. 2022-01-17 14:04:56,191:INFO:Creating metrics dataframe
  1679. 2022-01-17 14:04:56,202:INFO:Initializing Ridge Classifier
  1680. 2022-01-17 14:04:56,202:INFO:Total runtime is 0.15042424599329632 minutes
  1681. 2022-01-17 14:04:56,208:INFO:SubProcess create_model() called ==================================
  1682. 2022-01-17 14:04:56,208:INFO:Initializing create_model()
  1683. 2022-01-17 14:04:56,208:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1684. 2022-01-17 14:04:56,208:INFO:Checking exceptions
  1685. 2022-01-17 14:04:56,209:INFO:Importing libraries
  1686. 2022-01-17 14:04:56,209:INFO:Copying training dataset
  1687. 2022-01-17 14:04:56,209:INFO:Defining folds
  1688. 2022-01-17 14:04:56,210:INFO:Declaring metric variables
  1689. 2022-01-17 14:04:56,214:INFO:Importing untrained model
  1690. 2022-01-17 14:04:56,219:INFO:Ridge Classifier Imported succesfully
  1691. 2022-01-17 14:04:56,230:INFO:Starting cross validation
  1692. 2022-01-17 14:04:56,231:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1693. 2022-01-17 14:04:56,600:INFO:Calculating mean and std
  1694. 2022-01-17 14:04:56,607:INFO:Creating metrics dataframe
  1695. 2022-01-17 14:04:56,612:INFO:Uploading results into container
  1696. 2022-01-17 14:04:56,617:INFO:Uploading model into container now
  1697. 2022-01-17 14:04:56,618:INFO:create_model_container: 6
  1698. 2022-01-17 14:04:56,618:INFO:master_model_container: 6
  1699. 2022-01-17 14:04:56,618:INFO:display_container: 2
  1700. 2022-01-17 14:04:56,618:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  1701. max_iter=None, normalize=False, random_state=7446,
  1702. solver='auto', tol=0.001)
  1703. 2022-01-17 14:04:56,619:INFO:create_model() succesfully completed......................................
  1704. 2022-01-17 14:04:56,710:INFO:SubProcess create_model() end ==================================
  1705. 2022-01-17 14:04:56,710:INFO:Creating metrics dataframe
  1706. 2022-01-17 14:04:56,722:INFO:Initializing Random Forest Classifier
  1707. 2022-01-17 14:04:56,722:INFO:Total runtime is 0.1590816895167033 minutes
  1708. 2022-01-17 14:04:56,727:INFO:SubProcess create_model() called ==================================
  1709. 2022-01-17 14:04:56,727:INFO:Initializing create_model()
  1710. 2022-01-17 14:04:56,728:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1711. 2022-01-17 14:04:56,728:INFO:Checking exceptions
  1712. 2022-01-17 14:04:56,728:INFO:Importing libraries
  1713. 2022-01-17 14:04:56,728:INFO:Copying training dataset
  1714. 2022-01-17 14:04:56,729:INFO:Defining folds
  1715. 2022-01-17 14:04:56,729:INFO:Declaring metric variables
  1716. 2022-01-17 14:04:56,734:INFO:Importing untrained model
  1717. 2022-01-17 14:04:56,738:INFO:Random Forest Classifier Imported succesfully
  1718. 2022-01-17 14:04:56,749:INFO:Starting cross validation
  1719. 2022-01-17 14:04:56,749:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1720. 2022-01-17 14:05:02,377:INFO:Calculating mean and std
  1721. 2022-01-17 14:05:02,378:INFO:Creating metrics dataframe
  1722. 2022-01-17 14:05:02,381:INFO:Uploading results into container
  1723. 2022-01-17 14:05:02,381:INFO:Uploading model into container now
  1724. 2022-01-17 14:05:02,381:INFO:create_model_container: 7
  1725. 2022-01-17 14:05:02,381:INFO:master_model_container: 7
  1726. 2022-01-17 14:05:02,381:INFO:display_container: 2
  1727. 2022-01-17 14:05:02,382:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1728. criterion='gini', max_depth=None, max_features='auto',
  1729. max_leaf_nodes=None, max_samples=None,
  1730. min_impurity_decrease=0.0, min_impurity_split=None,
  1731. min_samples_leaf=1, min_samples_split=2,
  1732. min_weight_fraction_leaf=0.0, n_estimators=100,
  1733. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  1734. warm_start=False)
  1735. 2022-01-17 14:05:02,382:INFO:create_model() succesfully completed......................................
  1736. 2022-01-17 14:05:02,454:INFO:SubProcess create_model() end ==================================
  1737. 2022-01-17 14:05:02,455:INFO:Creating metrics dataframe
  1738. 2022-01-17 14:05:02,467:INFO:Initializing Quadratic Discriminant Analysis
  1739. 2022-01-17 14:05:02,467:INFO:Total runtime is 0.2548285245895386 minutes
  1740. 2022-01-17 14:05:02,472:INFO:SubProcess create_model() called ==================================
  1741. 2022-01-17 14:05:02,472:INFO:Initializing create_model()
  1742. 2022-01-17 14:05:02,472:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1743. 2022-01-17 14:05:02,473:INFO:Checking exceptions
  1744. 2022-01-17 14:05:02,473:INFO:Importing libraries
  1745. 2022-01-17 14:05:02,473:INFO:Copying training dataset
  1746. 2022-01-17 14:05:02,474:INFO:Defining folds
  1747. 2022-01-17 14:05:02,474:INFO:Declaring metric variables
  1748. 2022-01-17 14:05:02,478:INFO:Importing untrained model
  1749. 2022-01-17 14:05:02,483:INFO:Quadratic Discriminant Analysis Imported succesfully
  1750. 2022-01-17 14:05:02,493:INFO:Starting cross validation
  1751. 2022-01-17 14:05:02,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1752. 2022-01-17 14:05:02,821:INFO:Calculating mean and std
  1753. 2022-01-17 14:05:02,822:INFO:Creating metrics dataframe
  1754. 2022-01-17 14:05:02,828:INFO:Uploading results into container
  1755. 2022-01-17 14:05:02,829:INFO:Uploading model into container now
  1756. 2022-01-17 14:05:02,829:INFO:create_model_container: 8
  1757. 2022-01-17 14:05:02,830:INFO:master_model_container: 8
  1758. 2022-01-17 14:05:02,830:INFO:display_container: 2
  1759. 2022-01-17 14:05:02,830:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  1760. store_covariance=False, tol=0.0001)
  1761. 2022-01-17 14:05:02,830:INFO:create_model() succesfully completed......................................
  1762. 2022-01-17 14:05:02,910:INFO:SubProcess create_model() end ==================================
  1763. 2022-01-17 14:05:02,910:INFO:Creating metrics dataframe
  1764. 2022-01-17 14:05:02,922:INFO:Initializing Ada Boost Classifier
  1765. 2022-01-17 14:05:02,922:INFO:Total runtime is 0.2624213774998983 minutes
  1766. 2022-01-17 14:05:02,928:INFO:SubProcess create_model() called ==================================
  1767. 2022-01-17 14:05:02,928:INFO:Initializing create_model()
  1768. 2022-01-17 14:05:02,928:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1769. 2022-01-17 14:05:02,928:INFO:Checking exceptions
  1770. 2022-01-17 14:05:02,929:INFO:Importing libraries
  1771. 2022-01-17 14:05:02,929:INFO:Copying training dataset
  1772. 2022-01-17 14:05:02,930:INFO:Defining folds
  1773. 2022-01-17 14:05:02,930:INFO:Declaring metric variables
  1774. 2022-01-17 14:05:02,935:INFO:Importing untrained model
  1775. 2022-01-17 14:05:02,939:INFO:Ada Boost Classifier Imported succesfully
  1776. 2022-01-17 14:05:02,950:INFO:Starting cross validation
  1777. 2022-01-17 14:05:02,950:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1778. 2022-01-17 14:05:05,184:INFO:Calculating mean and std
  1779. 2022-01-17 14:05:05,185:INFO:Creating metrics dataframe
  1780. 2022-01-17 14:05:05,187:INFO:Uploading results into container
  1781. 2022-01-17 14:05:05,187:INFO:Uploading model into container now
  1782. 2022-01-17 14:05:05,187:INFO:create_model_container: 9
  1783. 2022-01-17 14:05:05,187:INFO:master_model_container: 9
  1784. 2022-01-17 14:05:05,188:INFO:display_container: 2
  1785. 2022-01-17 14:05:05,188:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  1786. n_estimators=50, random_state=7446)
  1787. 2022-01-17 14:05:05,188:INFO:create_model() succesfully completed......................................
  1788. 2022-01-17 14:05:05,253:INFO:SubProcess create_model() end ==================================
  1789. 2022-01-17 14:05:05,253:INFO:Creating metrics dataframe
  1790. 2022-01-17 14:05:05,265:INFO:Initializing Gradient Boosting Classifier
  1791. 2022-01-17 14:05:05,265:INFO:Total runtime is 0.3014698584874471 minutes
  1792. 2022-01-17 14:05:05,270:INFO:SubProcess create_model() called ==================================
  1793. 2022-01-17 14:05:05,271:INFO:Initializing create_model()
  1794. 2022-01-17 14:05:05,271:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1795. 2022-01-17 14:05:05,271:INFO:Checking exceptions
  1796. 2022-01-17 14:05:05,271:INFO:Importing libraries
  1797. 2022-01-17 14:05:05,271:INFO:Copying training dataset
  1798. 2022-01-17 14:05:05,272:INFO:Defining folds
  1799. 2022-01-17 14:05:05,272:INFO:Declaring metric variables
  1800. 2022-01-17 14:05:05,277:INFO:Importing untrained model
  1801. 2022-01-17 14:05:05,281:INFO:Gradient Boosting Classifier Imported succesfully
  1802. 2022-01-17 14:05:05,291:INFO:Starting cross validation
  1803. 2022-01-17 14:05:05,292:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1804. 2022-01-17 14:05:11,522:INFO:Calculating mean and std
  1805. 2022-01-17 14:05:11,523:INFO:Creating metrics dataframe
  1806. 2022-01-17 14:05:11,525:INFO:Uploading results into container
  1807. 2022-01-17 14:05:11,526:INFO:Uploading model into container now
  1808. 2022-01-17 14:05:11,526:INFO:create_model_container: 10
  1809. 2022-01-17 14:05:11,526:INFO:master_model_container: 10
  1810. 2022-01-17 14:05:11,526:INFO:display_container: 2
  1811. 2022-01-17 14:05:11,527:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  1812. learning_rate=0.1, loss='deviance', max_depth=3,
  1813. max_features=None, max_leaf_nodes=None,
  1814. min_impurity_decrease=0.0, min_impurity_split=None,
  1815. min_samples_leaf=1, min_samples_split=2,
  1816. min_weight_fraction_leaf=0.0, n_estimators=100,
  1817. n_iter_no_change=None, presort='deprecated',
  1818. random_state=7446, subsample=1.0, tol=0.0001,
  1819. validation_fraction=0.1, verbose=0,
  1820. warm_start=False)
  1821. 2022-01-17 14:05:11,527:INFO:create_model() succesfully completed......................................
  1822. 2022-01-17 14:05:11,591:INFO:SubProcess create_model() end ==================================
  1823. 2022-01-17 14:05:11,591:INFO:Creating metrics dataframe
  1824. 2022-01-17 14:05:11,604:INFO:Initializing Linear Discriminant Analysis
  1825. 2022-01-17 14:05:11,604:INFO:Total runtime is 0.40711584091186526 minutes
  1826. 2022-01-17 14:05:11,609:INFO:SubProcess create_model() called ==================================
  1827. 2022-01-17 14:05:11,610:INFO:Initializing create_model()
  1828. 2022-01-17 14:05:11,610:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1829. 2022-01-17 14:05:11,610:INFO:Checking exceptions
  1830. 2022-01-17 14:05:11,610:INFO:Importing libraries
  1831. 2022-01-17 14:05:11,611:INFO:Copying training dataset
  1832. 2022-01-17 14:05:11,612:INFO:Defining folds
  1833. 2022-01-17 14:05:11,612:INFO:Declaring metric variables
  1834. 2022-01-17 14:05:11,617:INFO:Importing untrained model
  1835. 2022-01-17 14:05:11,621:INFO:Linear Discriminant Analysis Imported succesfully
  1836. 2022-01-17 14:05:11,632:INFO:Starting cross validation
  1837. 2022-01-17 14:05:11,632:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1838. 2022-01-17 14:05:12,677:INFO:Calculating mean and std
  1839. 2022-01-17 14:05:12,685:INFO:Creating metrics dataframe
  1840. 2022-01-17 14:05:12,692:INFO:Uploading results into container
  1841. 2022-01-17 14:05:12,694:INFO:Uploading model into container now
  1842. 2022-01-17 14:05:12,696:INFO:create_model_container: 11
  1843. 2022-01-17 14:05:12,696:INFO:master_model_container: 11
  1844. 2022-01-17 14:05:12,696:INFO:display_container: 2
  1845. 2022-01-17 14:05:12,697:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  1846. solver='svd', store_covariance=False, tol=0.0001)
  1847. 2022-01-17 14:05:12,697:INFO:create_model() succesfully completed......................................
  1848. 2022-01-17 14:05:12,787:INFO:SubProcess create_model() end ==================================
  1849. 2022-01-17 14:05:12,788:INFO:Creating metrics dataframe
  1850. 2022-01-17 14:05:12,801:INFO:Initializing Extra Trees Classifier
  1851. 2022-01-17 14:05:12,801:INFO:Total runtime is 0.42706976731618246 minutes
  1852. 2022-01-17 14:05:12,807:INFO:SubProcess create_model() called ==================================
  1853. 2022-01-17 14:05:12,807:INFO:Initializing create_model()
  1854. 2022-01-17 14:05:12,807:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1855. 2022-01-17 14:05:12,807:INFO:Checking exceptions
  1856. 2022-01-17 14:05:12,807:INFO:Importing libraries
  1857. 2022-01-17 14:05:12,808:INFO:Copying training dataset
  1858. 2022-01-17 14:05:12,808:INFO:Defining folds
  1859. 2022-01-17 14:05:12,808:INFO:Declaring metric variables
  1860. 2022-01-17 14:05:12,813:INFO:Importing untrained model
  1861. 2022-01-17 14:05:12,818:INFO:Extra Trees Classifier Imported succesfully
  1862. 2022-01-17 14:05:12,827:INFO:Starting cross validation
  1863. 2022-01-17 14:05:12,828:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1864. 2022-01-17 14:05:18,501:INFO:Calculating mean and std
  1865. 2022-01-17 14:05:18,501:INFO:Creating metrics dataframe
  1866. 2022-01-17 14:05:18,504:INFO:Uploading results into container
  1867. 2022-01-17 14:05:18,504:INFO:Uploading model into container now
  1868. 2022-01-17 14:05:18,504:INFO:create_model_container: 12
  1869. 2022-01-17 14:05:18,505:INFO:master_model_container: 12
  1870. 2022-01-17 14:05:18,505:INFO:display_container: 2
  1871. 2022-01-17 14:05:18,505:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  1872. criterion='gini', max_depth=None, max_features='auto',
  1873. max_leaf_nodes=None, max_samples=None,
  1874. min_impurity_decrease=0.0, min_impurity_split=None,
  1875. min_samples_leaf=1, min_samples_split=2,
  1876. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  1877. oob_score=False, random_state=7446, verbose=0,
  1878. warm_start=False)
  1879. 2022-01-17 14:05:18,505:INFO:create_model() succesfully completed......................................
  1880. 2022-01-17 14:05:18,575:INFO:SubProcess create_model() end ==================================
  1881. 2022-01-17 14:05:18,575:INFO:Creating metrics dataframe
  1882. 2022-01-17 14:05:18,588:INFO:Initializing Light Gradient Boosting Machine
  1883. 2022-01-17 14:05:18,589:INFO:Total runtime is 0.5235265612602233 minutes
  1884. 2022-01-17 14:05:18,594:INFO:SubProcess create_model() called ==================================
  1885. 2022-01-17 14:05:18,594:INFO:Initializing create_model()
  1886. 2022-01-17 14:05:18,595:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1887. 2022-01-17 14:05:18,595:INFO:Checking exceptions
  1888. 2022-01-17 14:05:18,595:INFO:Importing libraries
  1889. 2022-01-17 14:05:18,595:INFO:Copying training dataset
  1890. 2022-01-17 14:05:18,596:INFO:Defining folds
  1891. 2022-01-17 14:05:18,596:INFO:Declaring metric variables
  1892. 2022-01-17 14:05:18,601:INFO:Importing untrained model
  1893. 2022-01-17 14:05:18,605:INFO:Light Gradient Boosting Machine Imported succesfully
  1894. 2022-01-17 14:05:18,615:INFO:Starting cross validation
  1895. 2022-01-17 14:05:18,616:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1896. 2022-01-17 14:05:20,236:INFO:Calculating mean and std
  1897. 2022-01-17 14:05:20,237:INFO:Creating metrics dataframe
  1898. 2022-01-17 14:05:20,239:INFO:Uploading results into container
  1899. 2022-01-17 14:05:20,240:INFO:Uploading model into container now
  1900. 2022-01-17 14:05:20,240:INFO:create_model_container: 13
  1901. 2022-01-17 14:05:20,240:INFO:master_model_container: 13
  1902. 2022-01-17 14:05:20,240:INFO:display_container: 2
  1903. 2022-01-17 14:05:20,241:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  1904. importance_type='split', learning_rate=0.1, max_depth=-1,
  1905. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  1906. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  1907. random_state=7446, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  1908. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  1909. 2022-01-17 14:05:20,241:INFO:create_model() succesfully completed......................................
  1910. 2022-01-17 14:05:20,307:INFO:SubProcess create_model() end ==================================
  1911. 2022-01-17 14:05:20,307:INFO:Creating metrics dataframe
  1912. 2022-01-17 14:05:20,320:INFO:Initializing Dummy Classifier
  1913. 2022-01-17 14:05:20,321:INFO:Total runtime is 0.5523936629295348 minutes
  1914. 2022-01-17 14:05:20,326:INFO:SubProcess create_model() called ==================================
  1915. 2022-01-17 14:05:20,327:INFO:Initializing create_model()
  1916. 2022-01-17 14:05:20,327:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f650c059f40>, kwargs={})
  1917. 2022-01-17 14:05:20,327:INFO:Checking exceptions
  1918. 2022-01-17 14:05:20,327:INFO:Importing libraries
  1919. 2022-01-17 14:05:20,327:INFO:Copying training dataset
  1920. 2022-01-17 14:05:20,328:INFO:Defining folds
  1921. 2022-01-17 14:05:20,328:INFO:Declaring metric variables
  1922. 2022-01-17 14:05:20,333:INFO:Importing untrained model
  1923. 2022-01-17 14:05:20,338:INFO:Dummy Classifier Imported succesfully
  1924. 2022-01-17 14:05:20,348:INFO:Starting cross validation
  1925. 2022-01-17 14:05:20,348:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1926. 2022-01-17 14:05:20,410:INFO:Calculating mean and std
  1927. 2022-01-17 14:05:20,411:INFO:Creating metrics dataframe
  1928. 2022-01-17 14:05:20,414:INFO:Uploading results into container
  1929. 2022-01-17 14:05:20,414:INFO:Uploading model into container now
  1930. 2022-01-17 14:05:20,414:INFO:create_model_container: 14
  1931. 2022-01-17 14:05:20,414:INFO:master_model_container: 14
  1932. 2022-01-17 14:05:20,415:INFO:display_container: 2
  1933. 2022-01-17 14:05:20,415:INFO:DummyClassifier(constant=None, random_state=7446, strategy='prior')
  1934. 2022-01-17 14:05:20,415:INFO:create_model() succesfully completed......................................
  1935. 2022-01-17 14:05:20,480:INFO:SubProcess create_model() end ==================================
  1936. 2022-01-17 14:05:20,480:INFO:Creating metrics dataframe
  1937. 2022-01-17 14:05:20,506:INFO:Initializing create_model()
  1938. 2022-01-17 14:05:20,507:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1939. criterion='gini', max_depth=None, max_features='auto',
  1940. max_leaf_nodes=None, max_samples=None,
  1941. min_impurity_decrease=0.0, min_impurity_split=None,
  1942. min_samples_leaf=1, min_samples_split=2,
  1943. min_weight_fraction_leaf=0.0, n_estimators=100,
  1944. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  1945. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  1946. 2022-01-17 14:05:20,507:INFO:Checking exceptions
  1947. 2022-01-17 14:05:20,507:INFO:Importing libraries
  1948. 2022-01-17 14:05:20,507:INFO:Copying training dataset
  1949. 2022-01-17 14:05:20,508:INFO:Defining folds
  1950. 2022-01-17 14:05:20,508:INFO:Declaring metric variables
  1951. 2022-01-17 14:05:20,508:INFO:Importing untrained model
  1952. 2022-01-17 14:05:20,508:INFO:Declaring custom model
  1953. 2022-01-17 14:05:20,509:INFO:Random Forest Classifier Imported succesfully
  1954. 2022-01-17 14:05:20,509:INFO:Cross validation set to False
  1955. 2022-01-17 14:05:20,509:INFO:Fitting Model
  1956. 2022-01-17 14:05:20,787:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1957. criterion='gini', max_depth=None, max_features='auto',
  1958. max_leaf_nodes=None, max_samples=None,
  1959. min_impurity_decrease=0.0, min_impurity_split=None,
  1960. min_samples_leaf=1, min_samples_split=2,
  1961. min_weight_fraction_leaf=0.0, n_estimators=100,
  1962. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  1963. warm_start=False)
  1964. 2022-01-17 14:05:20,787:INFO:create_models() succesfully completed......................................
  1965. 2022-01-17 14:05:20,887:INFO:create_model_container: 14
  1966. 2022-01-17 14:05:20,888:INFO:master_model_container: 14
  1967. 2022-01-17 14:05:20,888:INFO:display_container: 2
  1968. 2022-01-17 14:05:20,888:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1969. criterion='gini', max_depth=None, max_features='auto',
  1970. max_leaf_nodes=None, max_samples=None,
  1971. min_impurity_decrease=0.0, min_impurity_split=None,
  1972. min_samples_leaf=1, min_samples_split=2,
  1973. min_weight_fraction_leaf=0.0, n_estimators=100,
  1974. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  1975. warm_start=False)
  1976. 2022-01-17 14:05:20,888:INFO:compare_models() succesfully completed......................................
  1977. 2022-01-17 14:06:31,806:INFO:Initializing create_model()
  1978. 2022-01-17 14:06:31,806:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  1979. 2022-01-17 14:06:31,806:INFO:Checking exceptions
  1980. 2022-01-17 14:06:31,806:INFO:Preparing display monitor
  1981. 2022-01-17 14:06:31,817:INFO:Importing libraries
  1982. 2022-01-17 14:06:31,817:INFO:Copying training dataset
  1983. 2022-01-17 14:06:31,818:INFO:Defining folds
  1984. 2022-01-17 14:06:31,818:INFO:Declaring metric variables
  1985. 2022-01-17 14:06:31,823:INFO:Importing untrained model
  1986. 2022-01-17 14:06:31,828:INFO:Random Forest Classifier Imported succesfully
  1987. 2022-01-17 14:06:31,838:INFO:Starting cross validation
  1988. 2022-01-17 14:06:31,838:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  1989. 2022-01-17 14:06:37,443:INFO:Calculating mean and std
  1990. 2022-01-17 14:06:37,444:INFO:Creating metrics dataframe
  1991. 2022-01-17 14:06:37,451:INFO:Finalizing model
  1992. 2022-01-17 14:06:37,727:INFO:Uploading results into container
  1993. 2022-01-17 14:06:37,728:INFO:Uploading model into container now
  1994. 2022-01-17 14:06:37,738:INFO:create_model_container: 15
  1995. 2022-01-17 14:06:37,738:INFO:master_model_container: 15
  1996. 2022-01-17 14:06:37,738:INFO:display_container: 3
  1997. 2022-01-17 14:06:37,739:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  1998. criterion='gini', max_depth=None, max_features='auto',
  1999. max_leaf_nodes=None, max_samples=None,
  2000. min_impurity_decrease=0.0, min_impurity_split=None,
  2001. min_samples_leaf=1, min_samples_split=2,
  2002. min_weight_fraction_leaf=0.0, n_estimators=100,
  2003. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2004. warm_start=False)
  2005. 2022-01-17 14:06:37,739:INFO:create_model() succesfully completed......................................
  2006. 2022-01-17 14:07:03,806:INFO:Initializing tune_model()
  2007. 2022-01-17 14:07:03,806:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2008. criterion='gini', max_depth=None, max_features='auto',
  2009. max_leaf_nodes=None, max_samples=None,
  2010. min_impurity_decrease=0.0, min_impurity_split=None,
  2011. min_samples_leaf=1, min_samples_split=2,
  2012. min_weight_fraction_leaf=0.0, n_estimators=100,
  2013. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2014. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  2015. 2022-01-17 14:07:03,806:INFO:Checking exceptions
  2016. 2022-01-17 14:07:03,807:INFO:Preparing display monitor
  2017. 2022-01-17 14:07:03,817:INFO:Copying training dataset
  2018. 2022-01-17 14:07:03,818:INFO:Checking base model
  2019. 2022-01-17 14:07:03,819:INFO:Base model : Random Forest Classifier
  2020. 2022-01-17 14:07:03,823:INFO:Declaring metric variables
  2021. 2022-01-17 14:07:03,828:INFO:Defining Hyperparameters
  2022. 2022-01-17 14:07:03,903:INFO:Tuning with n_jobs=-1
  2023. 2022-01-17 14:07:03,903:INFO:Initializing RandomizedSearchCV
  2024. 2022-01-17 14:07:09,321:INFO:best_params: {'actual_estimator__n_estimators': 60, 'actual_estimator__min_samples_split': 10, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.3, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 9, 'actual_estimator__criterion': 'gini', 'actual_estimator__class_weight': 'balanced', 'actual_estimator__bootstrap': True}
  2025. 2022-01-17 14:07:09,322:INFO:Hyperparameter search completed
  2026. 2022-01-17 14:07:09,322:INFO:SubProcess create_model() called ==================================
  2027. 2022-01-17 14:07:09,323:INFO:Initializing create_model()
  2028. 2022-01-17 14:07:09,323:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2029. criterion='gini', max_depth=None, max_features='auto',
  2030. max_leaf_nodes=None, max_samples=None,
  2031. min_impurity_decrease=0.0, min_impurity_split=None,
  2032. min_samples_leaf=1, min_samples_split=2,
  2033. min_weight_fraction_leaf=0.0, n_estimators=100,
  2034. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2035. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f636935d2e0>, kwargs={'n_estimators': 60, 'min_samples_split': 10, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.3, 'max_features': 1.0, 'max_depth': 9, 'criterion': 'gini', 'class_weight': 'balanced', 'bootstrap': True})
  2036. 2022-01-17 14:07:09,323:INFO:Checking exceptions
  2037. 2022-01-17 14:07:09,323:INFO:Importing libraries
  2038. 2022-01-17 14:07:09,323:INFO:Copying training dataset
  2039. 2022-01-17 14:07:09,324:INFO:Defining folds
  2040. 2022-01-17 14:07:09,324:INFO:Declaring metric variables
  2041. 2022-01-17 14:07:09,330:INFO:Importing untrained model
  2042. 2022-01-17 14:07:09,330:INFO:Declaring custom model
  2043. 2022-01-17 14:07:09,335:INFO:Random Forest Classifier Imported succesfully
  2044. 2022-01-17 14:07:09,344:INFO:Starting cross validation
  2045. 2022-01-17 14:07:09,345:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2046. 2022-01-17 14:07:13,115:INFO:Calculating mean and std
  2047. 2022-01-17 14:07:13,116:INFO:Creating metrics dataframe
  2048. 2022-01-17 14:07:13,123:INFO:Finalizing model
  2049. 2022-01-17 14:07:13,260:INFO:Uploading results into container
  2050. 2022-01-17 14:07:13,261:INFO:Uploading model into container now
  2051. 2022-01-17 14:07:13,261:INFO:create_model_container: 16
  2052. 2022-01-17 14:07:13,261:INFO:master_model_container: 16
  2053. 2022-01-17 14:07:13,261:INFO:display_container: 4
  2054. 2022-01-17 14:07:13,262:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2055. criterion='gini', max_depth=9, max_features=1.0,
  2056. max_leaf_nodes=None, max_samples=None,
  2057. min_impurity_decrease=0.3, min_impurity_split=None,
  2058. min_samples_leaf=4, min_samples_split=10,
  2059. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2060. oob_score=False, random_state=7446, verbose=0,
  2061. warm_start=False)
  2062. 2022-01-17 14:07:13,262:INFO:create_model() succesfully completed......................................
  2063. 2022-01-17 14:07:13,329:INFO:SubProcess create_model() end ==================================
  2064. 2022-01-17 14:07:13,339:INFO:create_model_container: 16
  2065. 2022-01-17 14:07:13,339:INFO:master_model_container: 16
  2066. 2022-01-17 14:07:13,340:INFO:display_container: 4
  2067. 2022-01-17 14:07:13,340:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2068. criterion='gini', max_depth=9, max_features=1.0,
  2069. max_leaf_nodes=None, max_samples=None,
  2070. min_impurity_decrease=0.3, min_impurity_split=None,
  2071. min_samples_leaf=4, min_samples_split=10,
  2072. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2073. oob_score=False, random_state=7446, verbose=0,
  2074. warm_start=False)
  2075. 2022-01-17 14:07:13,340:INFO:tune_model() succesfully completed......................................
  2076. 2022-01-17 14:07:22,106:INFO:Initializing evaluate_model()
  2077. 2022-01-17 14:07:22,106:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2078. criterion='gini', max_depth=9, max_features=1.0,
  2079. max_leaf_nodes=None, max_samples=None,
  2080. min_impurity_decrease=0.3, min_impurity_split=None,
  2081. min_samples_leaf=4, min_samples_split=10,
  2082. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2083. oob_score=False, random_state=7446, verbose=0,
  2084. warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  2085. 2022-01-17 14:07:22,117:INFO:Initializing plot_model()
  2086. 2022-01-17 14:07:22,117:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2087. criterion='gini', max_depth=9, max_features=1.0,
  2088. max_leaf_nodes=None, max_samples=None,
  2089. min_impurity_decrease=0.3, min_impurity_split=None,
  2090. min_samples_leaf=4, min_samples_split=10,
  2091. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2092. oob_score=False, random_state=7446, verbose=0,
  2093. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  2094. 2022-01-17 14:07:22,118:INFO:Checking exceptions
  2095. 2022-01-17 14:07:22,127:INFO:Preparing display monitor
  2096. 2022-01-17 14:07:22,132:INFO:Preloading libraries
  2097. 2022-01-17 14:07:22,139:INFO:Copying training dataset
  2098. 2022-01-17 14:07:22,140:INFO:Copying test dataset
  2099. 2022-01-17 14:07:22,140:INFO:Plot type: parameter
  2100. 2022-01-17 14:07:22,161:INFO:Visual Rendered Successfully
  2101. 2022-01-17 14:07:22,235:INFO:plot_model() succesfully completed......................................
  2102. 2022-01-17 14:07:24,656:INFO:Initializing plot_model()
  2103. 2022-01-17 14:07:24,657:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2104. criterion='gini', max_depth=9, max_features=1.0,
  2105. max_leaf_nodes=None, max_samples=None,
  2106. min_impurity_decrease=0.3, min_impurity_split=None,
  2107. min_samples_leaf=4, min_samples_split=10,
  2108. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2109. oob_score=False, random_state=7446, verbose=0,
  2110. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  2111. 2022-01-17 14:07:24,657:INFO:Checking exceptions
  2112. 2022-01-17 14:07:24,666:INFO:Preparing display monitor
  2113. 2022-01-17 14:07:24,671:INFO:Preloading libraries
  2114. 2022-01-17 14:07:24,679:INFO:Copying training dataset
  2115. 2022-01-17 14:07:24,679:INFO:Copying test dataset
  2116. 2022-01-17 14:07:24,679:INFO:Plot type: auc
  2117. 2022-01-17 14:07:24,696:INFO:Initializing get_config()
  2118. 2022-01-17 14:07:24,696:INFO:get_config(variable=prep_pipe)
  2119. 2022-01-17 14:07:24,699:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  2120. steps=[('dtypes',
  2121. DataTypes_Auto_infer(categorical_features=[],
  2122. display_types=True, features_todrop=[],
  2123. id_columns=[],
  2124. ml_usecase='classification',
  2125. numerical_features=[], target='label',
  2126. time_features=[])),
  2127. ('imputer',
  2128. Simple_Imputer(categorical_strategy='not_available',
  2129. fill_value_categorical=None,
  2130. fill_value_numerical=None,
  2131. numeric_strate...
  2132. target='label')),
  2133. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2134. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2135. ('dummy', Dummify(target='label')),
  2136. ('fix_perfect', Remove_100(target='label')),
  2137. ('clean_names', Clean_Colum_Names()),
  2138. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2139. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2140. verbose=False)
  2141. 2022-01-17 14:07:24,699:INFO:get_config() succesfully completed......................................
  2142. 2022-01-17 14:07:24,700:INFO:Fitting Model
  2143. 2022-01-17 14:07:24,701:INFO:Scoring test/hold-out set
  2144. 2022-01-17 14:07:24,849:INFO:Visual Rendered Successfully
  2145. 2022-01-17 14:07:24,920:INFO:plot_model() succesfully completed......................................
  2146. 2022-01-17 14:07:29,582:INFO:Initializing plot_model()
  2147. 2022-01-17 14:07:29,582:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2148. criterion='gini', max_depth=9, max_features=1.0,
  2149. max_leaf_nodes=None, max_samples=None,
  2150. min_impurity_decrease=0.3, min_impurity_split=None,
  2151. min_samples_leaf=4, min_samples_split=10,
  2152. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2153. oob_score=False, random_state=7446, verbose=0,
  2154. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  2155. 2022-01-17 14:07:29,583:INFO:Checking exceptions
  2156. 2022-01-17 14:07:29,591:INFO:Preparing display monitor
  2157. 2022-01-17 14:07:29,596:INFO:Preloading libraries
  2158. 2022-01-17 14:07:29,602:INFO:Copying training dataset
  2159. 2022-01-17 14:07:29,602:INFO:Copying test dataset
  2160. 2022-01-17 14:07:29,603:INFO:Plot type: threshold
  2161. 2022-01-17 14:07:29,619:INFO:Fitting Model
  2162. 2022-01-17 14:07:37,342:INFO:Scoring test/hold-out set
  2163. 2022-01-17 14:07:37,610:INFO:Visual Rendered Successfully
  2164. 2022-01-17 14:07:37,687:INFO:plot_model() succesfully completed......................................
  2165. 2022-01-17 14:07:41,486:INFO:Initializing plot_model()
  2166. 2022-01-17 14:07:41,486:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2167. criterion='gini', max_depth=9, max_features=1.0,
  2168. max_leaf_nodes=None, max_samples=None,
  2169. min_impurity_decrease=0.3, min_impurity_split=None,
  2170. min_samples_leaf=4, min_samples_split=10,
  2171. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2172. oob_score=False, random_state=7446, verbose=0,
  2173. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  2174. 2022-01-17 14:07:41,487:INFO:Checking exceptions
  2175. 2022-01-17 14:07:41,496:INFO:Preparing display monitor
  2176. 2022-01-17 14:07:41,501:INFO:Preloading libraries
  2177. 2022-01-17 14:07:41,509:INFO:Copying training dataset
  2178. 2022-01-17 14:07:41,510:INFO:Copying test dataset
  2179. 2022-01-17 14:07:41,510:INFO:Plot type: pr
  2180. 2022-01-17 14:07:41,527:INFO:Fitting Model
  2181. 2022-01-17 14:07:41,528:INFO:Scoring test/hold-out set
  2182. 2022-01-17 14:07:41,672:INFO:Visual Rendered Successfully
  2183. 2022-01-17 14:07:41,741:INFO:plot_model() succesfully completed......................................
  2184. 2022-01-17 14:07:45,037:INFO:Initializing plot_model()
  2185. 2022-01-17 14:07:45,038:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2186. criterion='gini', max_depth=9, max_features=1.0,
  2187. max_leaf_nodes=None, max_samples=None,
  2188. min_impurity_decrease=0.3, min_impurity_split=None,
  2189. min_samples_leaf=4, min_samples_split=10,
  2190. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2191. oob_score=False, random_state=7446, verbose=0,
  2192. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  2193. 2022-01-17 14:07:45,038:INFO:Checking exceptions
  2194. 2022-01-17 14:07:45,047:INFO:Preparing display monitor
  2195. 2022-01-17 14:07:45,052:INFO:Preloading libraries
  2196. 2022-01-17 14:07:45,060:INFO:Copying training dataset
  2197. 2022-01-17 14:07:45,060:INFO:Copying test dataset
  2198. 2022-01-17 14:07:45,061:INFO:Plot type: error
  2199. 2022-01-17 14:07:45,077:INFO:Initializing get_config()
  2200. 2022-01-17 14:07:45,077:INFO:get_config(variable=prep_pipe)
  2201. 2022-01-17 14:07:45,080:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  2202. steps=[('dtypes',
  2203. DataTypes_Auto_infer(categorical_features=[],
  2204. display_types=True, features_todrop=[],
  2205. id_columns=[],
  2206. ml_usecase='classification',
  2207. numerical_features=[], target='label',
  2208. time_features=[])),
  2209. ('imputer',
  2210. Simple_Imputer(categorical_strategy='not_available',
  2211. fill_value_categorical=None,
  2212. fill_value_numerical=None,
  2213. numeric_strate...
  2214. target='label')),
  2215. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2216. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2217. ('dummy', Dummify(target='label')),
  2218. ('fix_perfect', Remove_100(target='label')),
  2219. ('clean_names', Clean_Colum_Names()),
  2220. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2221. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2222. verbose=False)
  2223. 2022-01-17 14:07:45,081:INFO:get_config() succesfully completed......................................
  2224. 2022-01-17 14:07:45,081:INFO:Fitting Model
  2225. 2022-01-17 14:07:45,082:INFO:Scoring test/hold-out set
  2226. 2022-01-17 14:07:45,213:INFO:Visual Rendered Successfully
  2227. 2022-01-17 14:07:45,291:INFO:plot_model() succesfully completed......................................
  2228. 2022-01-17 14:08:04,305:INFO:Initializing tune_model()
  2229. 2022-01-17 14:08:04,306:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2230. criterion='gini', max_depth=None, max_features='auto',
  2231. max_leaf_nodes=None, max_samples=None,
  2232. min_impurity_decrease=0.0, min_impurity_split=None,
  2233. min_samples_leaf=1, min_samples_split=2,
  2234. min_weight_fraction_leaf=0.0, n_estimators=100,
  2235. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2236. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  2237. 2022-01-17 14:08:04,306:INFO:Checking exceptions
  2238. 2022-01-17 14:08:04,307:INFO:Preparing display monitor
  2239. 2022-01-17 14:08:04,318:INFO:Copying training dataset
  2240. 2022-01-17 14:08:04,319:INFO:Checking base model
  2241. 2022-01-17 14:08:04,319:INFO:Base model : Random Forest Classifier
  2242. 2022-01-17 14:08:04,325:INFO:Declaring metric variables
  2243. 2022-01-17 14:08:04,329:INFO:Defining Hyperparameters
  2244. 2022-01-17 14:08:04,410:INFO:Tuning with n_jobs=-1
  2245. 2022-01-17 14:08:04,410:INFO:Initializing RandomizedSearchCV
  2246. 2022-01-17 14:08:08,770:INFO:best_params: {'actual_estimator__n_estimators': 60, 'actual_estimator__min_samples_split': 10, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.3, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 9, 'actual_estimator__criterion': 'gini', 'actual_estimator__class_weight': 'balanced', 'actual_estimator__bootstrap': True}
  2247. 2022-01-17 14:08:08,771:INFO:Hyperparameter search completed
  2248. 2022-01-17 14:08:08,771:INFO:SubProcess create_model() called ==================================
  2249. 2022-01-17 14:08:08,772:INFO:Initializing create_model()
  2250. 2022-01-17 14:08:08,772:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2251. criterion='gini', max_depth=None, max_features='auto',
  2252. max_leaf_nodes=None, max_samples=None,
  2253. min_impurity_decrease=0.0, min_impurity_split=None,
  2254. min_samples_leaf=1, min_samples_split=2,
  2255. min_weight_fraction_leaf=0.0, n_estimators=100,
  2256. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2257. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f6368e6cd60>, kwargs={'n_estimators': 60, 'min_samples_split': 10, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.3, 'max_features': 1.0, 'max_depth': 9, 'criterion': 'gini', 'class_weight': 'balanced', 'bootstrap': True})
  2258. 2022-01-17 14:08:08,772:INFO:Checking exceptions
  2259. 2022-01-17 14:08:08,772:INFO:Importing libraries
  2260. 2022-01-17 14:08:08,772:INFO:Copying training dataset
  2261. 2022-01-17 14:08:08,773:INFO:Defining folds
  2262. 2022-01-17 14:08:08,774:INFO:Declaring metric variables
  2263. 2022-01-17 14:08:08,781:INFO:Importing untrained model
  2264. 2022-01-17 14:08:08,781:INFO:Declaring custom model
  2265. 2022-01-17 14:08:08,788:INFO:Random Forest Classifier Imported succesfully
  2266. 2022-01-17 14:08:08,801:INFO:Starting cross validation
  2267. 2022-01-17 14:08:08,802:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2268. 2022-01-17 14:08:12,590:INFO:Calculating mean and std
  2269. 2022-01-17 14:08:12,590:INFO:Creating metrics dataframe
  2270. 2022-01-17 14:08:12,597:INFO:Finalizing model
  2271. 2022-01-17 14:08:12,739:INFO:Uploading results into container
  2272. 2022-01-17 14:08:12,739:INFO:Uploading model into container now
  2273. 2022-01-17 14:08:12,739:INFO:create_model_container: 17
  2274. 2022-01-17 14:08:12,739:INFO:master_model_container: 17
  2275. 2022-01-17 14:08:12,740:INFO:display_container: 5
  2276. 2022-01-17 14:08:12,740:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2277. criterion='gini', max_depth=9, max_features=1.0,
  2278. max_leaf_nodes=None, max_samples=None,
  2279. min_impurity_decrease=0.3, min_impurity_split=None,
  2280. min_samples_leaf=4, min_samples_split=10,
  2281. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2282. oob_score=False, random_state=7446, verbose=0,
  2283. warm_start=False)
  2284. 2022-01-17 14:08:12,740:INFO:create_model() succesfully completed......................................
  2285. 2022-01-17 14:08:12,809:INFO:SubProcess create_model() end ==================================
  2286. 2022-01-17 14:08:12,819:INFO:create_model_container: 17
  2287. 2022-01-17 14:08:12,819:INFO:master_model_container: 17
  2288. 2022-01-17 14:08:12,819:INFO:display_container: 5
  2289. 2022-01-17 14:08:12,820:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2290. criterion='gini', max_depth=9, max_features=1.0,
  2291. max_leaf_nodes=None, max_samples=None,
  2292. min_impurity_decrease=0.3, min_impurity_split=None,
  2293. min_samples_leaf=4, min_samples_split=10,
  2294. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2295. oob_score=False, random_state=7446, verbose=0,
  2296. warm_start=False)
  2297. 2022-01-17 14:08:12,820:INFO:tune_model() succesfully completed......................................
  2298. 2022-01-17 14:08:19,986:INFO:Initializing create_model()
  2299. 2022-01-17 14:08:19,986:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  2300. 2022-01-17 14:08:19,987:INFO:Checking exceptions
  2301. 2022-01-17 14:08:19,987:INFO:Preparing display monitor
  2302. 2022-01-17 14:08:19,998:INFO:Importing libraries
  2303. 2022-01-17 14:08:19,999:INFO:Copying training dataset
  2304. 2022-01-17 14:08:19,999:INFO:Defining folds
  2305. 2022-01-17 14:08:20,000:INFO:Declaring metric variables
  2306. 2022-01-17 14:08:20,005:INFO:Importing untrained model
  2307. 2022-01-17 14:08:20,009:INFO:Random Forest Classifier Imported succesfully
  2308. 2022-01-17 14:08:20,020:INFO:Starting cross validation
  2309. 2022-01-17 14:08:20,021:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2310. 2022-01-17 14:08:25,648:INFO:Calculating mean and std
  2311. 2022-01-17 14:08:25,649:INFO:Creating metrics dataframe
  2312. 2022-01-17 14:08:25,656:INFO:Finalizing model
  2313. 2022-01-17 14:08:25,929:INFO:Uploading results into container
  2314. 2022-01-17 14:08:25,929:INFO:Uploading model into container now
  2315. 2022-01-17 14:08:25,939:INFO:create_model_container: 18
  2316. 2022-01-17 14:08:25,940:INFO:master_model_container: 18
  2317. 2022-01-17 14:08:25,940:INFO:display_container: 6
  2318. 2022-01-17 14:08:25,940:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2319. criterion='gini', max_depth=None, max_features='auto',
  2320. max_leaf_nodes=None, max_samples=None,
  2321. min_impurity_decrease=0.0, min_impurity_split=None,
  2322. min_samples_leaf=1, min_samples_split=2,
  2323. min_weight_fraction_leaf=0.0, n_estimators=100,
  2324. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2325. warm_start=False)
  2326. 2022-01-17 14:08:25,940:INFO:create_model() succesfully completed......................................
  2327. 2022-01-17 14:08:30,894:INFO:Initializing evaluate_model()
  2328. 2022-01-17 14:08:30,895:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2329. criterion='gini', max_depth=None, max_features='auto',
  2330. max_leaf_nodes=None, max_samples=None,
  2331. min_impurity_decrease=0.0, min_impurity_split=None,
  2332. min_samples_leaf=1, min_samples_split=2,
  2333. min_weight_fraction_leaf=0.0, n_estimators=100,
  2334. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2335. warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  2336. 2022-01-17 14:08:30,905:INFO:Initializing plot_model()
  2337. 2022-01-17 14:08:30,905:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2338. criterion='gini', max_depth=None, max_features='auto',
  2339. max_leaf_nodes=None, max_samples=None,
  2340. min_impurity_decrease=0.0, min_impurity_split=None,
  2341. min_samples_leaf=1, min_samples_split=2,
  2342. min_weight_fraction_leaf=0.0, n_estimators=100,
  2343. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2344. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  2345. 2022-01-17 14:08:30,905:INFO:Checking exceptions
  2346. 2022-01-17 14:08:30,919:INFO:Preparing display monitor
  2347. 2022-01-17 14:08:30,924:INFO:Preloading libraries
  2348. 2022-01-17 14:08:30,931:INFO:Copying training dataset
  2349. 2022-01-17 14:08:30,932:INFO:Copying test dataset
  2350. 2022-01-17 14:08:30,933:INFO:Plot type: parameter
  2351. 2022-01-17 14:08:30,964:INFO:Visual Rendered Successfully
  2352. 2022-01-17 14:08:31,041:INFO:plot_model() succesfully completed......................................
  2353. 2022-01-17 14:08:33,412:INFO:Initializing plot_model()
  2354. 2022-01-17 14:08:33,413:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2355. criterion='gini', max_depth=None, max_features='auto',
  2356. max_leaf_nodes=None, max_samples=None,
  2357. min_impurity_decrease=0.0, min_impurity_split=None,
  2358. min_samples_leaf=1, min_samples_split=2,
  2359. min_weight_fraction_leaf=0.0, n_estimators=100,
  2360. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2361. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  2362. 2022-01-17 14:08:33,413:INFO:Checking exceptions
  2363. 2022-01-17 14:08:33,427:INFO:Preparing display monitor
  2364. 2022-01-17 14:08:33,432:INFO:Preloading libraries
  2365. 2022-01-17 14:08:33,438:INFO:Copying training dataset
  2366. 2022-01-17 14:08:33,438:INFO:Copying test dataset
  2367. 2022-01-17 14:08:33,439:INFO:Plot type: auc
  2368. 2022-01-17 14:08:33,466:INFO:Initializing get_config()
  2369. 2022-01-17 14:08:33,466:INFO:get_config(variable=prep_pipe)
  2370. 2022-01-17 14:08:33,469:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  2371. steps=[('dtypes',
  2372. DataTypes_Auto_infer(categorical_features=[],
  2373. display_types=True, features_todrop=[],
  2374. id_columns=[],
  2375. ml_usecase='classification',
  2376. numerical_features=[], target='label',
  2377. time_features=[])),
  2378. ('imputer',
  2379. Simple_Imputer(categorical_strategy='not_available',
  2380. fill_value_categorical=None,
  2381. fill_value_numerical=None,
  2382. numeric_strate...
  2383. target='label')),
  2384. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2385. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2386. ('dummy', Dummify(target='label')),
  2387. ('fix_perfect', Remove_100(target='label')),
  2388. ('clean_names', Clean_Colum_Names()),
  2389. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2390. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2391. verbose=False)
  2392. 2022-01-17 14:08:33,469:INFO:get_config() succesfully completed......................................
  2393. 2022-01-17 14:08:33,470:INFO:Fitting Model
  2394. 2022-01-17 14:08:33,471:INFO:Scoring test/hold-out set
  2395. 2022-01-17 14:08:33,631:INFO:Visual Rendered Successfully
  2396. 2022-01-17 14:08:33,705:INFO:plot_model() succesfully completed......................................
  2397. 2022-01-17 14:08:36,846:INFO:Initializing plot_model()
  2398. 2022-01-17 14:08:36,846:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2399. criterion='gini', max_depth=None, max_features='auto',
  2400. max_leaf_nodes=None, max_samples=None,
  2401. min_impurity_decrease=0.0, min_impurity_split=None,
  2402. min_samples_leaf=1, min_samples_split=2,
  2403. min_weight_fraction_leaf=0.0, n_estimators=100,
  2404. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2405. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  2406. 2022-01-17 14:08:36,847:INFO:Checking exceptions
  2407. 2022-01-17 14:08:36,860:INFO:Preparing display monitor
  2408. 2022-01-17 14:08:36,865:INFO:Preloading libraries
  2409. 2022-01-17 14:08:36,872:INFO:Copying training dataset
  2410. 2022-01-17 14:08:36,872:INFO:Copying test dataset
  2411. 2022-01-17 14:08:36,873:INFO:Plot type: feature
  2412. 2022-01-17 14:08:36,898:WARNING:No coef_ found. Trying feature_importances_
  2413. 2022-01-17 14:08:36,994:INFO:Visual Rendered Successfully
  2414. 2022-01-17 14:08:37,080:INFO:plot_model() succesfully completed......................................
  2415. 2022-01-17 14:08:47,377:INFO:Initializing plot_model()
  2416. 2022-01-17 14:08:47,377:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2417. criterion='gini', max_depth=None, max_features='auto',
  2418. max_leaf_nodes=None, max_samples=None,
  2419. min_impurity_decrease=0.0, min_impurity_split=None,
  2420. min_samples_leaf=1, min_samples_split=2,
  2421. min_weight_fraction_leaf=0.0, n_estimators=100,
  2422. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2423. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  2424. 2022-01-17 14:08:47,377:INFO:Checking exceptions
  2425. 2022-01-17 14:08:47,391:INFO:Preparing display monitor
  2426. 2022-01-17 14:08:47,396:INFO:Preloading libraries
  2427. 2022-01-17 14:08:47,403:INFO:Copying training dataset
  2428. 2022-01-17 14:08:47,404:INFO:Copying test dataset
  2429. 2022-01-17 14:08:47,404:INFO:Plot type: threshold
  2430. 2022-01-17 14:08:47,431:INFO:Fitting Model
  2431. 2022-01-17 14:09:02,447:INFO:Scoring test/hold-out set
  2432. 2022-01-17 14:09:02,654:INFO:Visual Rendered Successfully
  2433. 2022-01-17 14:09:02,725:INFO:plot_model() succesfully completed......................................
  2434. 2022-01-17 14:09:05,558:INFO:Initializing plot_model()
  2435. 2022-01-17 14:09:05,558:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2436. criterion='gini', max_depth=None, max_features='auto',
  2437. max_leaf_nodes=None, max_samples=None,
  2438. min_impurity_decrease=0.0, min_impurity_split=None,
  2439. min_samples_leaf=1, min_samples_split=2,
  2440. min_weight_fraction_leaf=0.0, n_estimators=100,
  2441. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2442. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
  2443. 2022-01-17 14:09:05,559:INFO:Checking exceptions
  2444. 2022-01-17 14:09:05,572:INFO:Preparing display monitor
  2445. 2022-01-17 14:09:05,576:INFO:Preloading libraries
  2446. 2022-01-17 14:09:05,583:INFO:Copying training dataset
  2447. 2022-01-17 14:09:05,583:INFO:Copying test dataset
  2448. 2022-01-17 14:09:05,584:INFO:Plot type: boundary
  2449. 2022-01-17 14:09:05,613:INFO:Fitting StandardScaler()
  2450. 2022-01-17 14:09:05,622:INFO:Fitting PCA()
  2451. 2022-01-17 14:09:05,715:INFO:Initializing get_config()
  2452. 2022-01-17 14:09:05,716:INFO:get_config(variable=prep_pipe)
  2453. 2022-01-17 14:09:05,720:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  2454. steps=[('dtypes',
  2455. DataTypes_Auto_infer(categorical_features=[],
  2456. display_types=True, features_todrop=[],
  2457. id_columns=[],
  2458. ml_usecase='classification',
  2459. numerical_features=[], target='label',
  2460. time_features=[])),
  2461. ('imputer',
  2462. Simple_Imputer(categorical_strategy='not_available',
  2463. fill_value_categorical=None,
  2464. fill_value_numerical=None,
  2465. numeric_strate...
  2466. target='label')),
  2467. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2468. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2469. ('dummy', Dummify(target='label')),
  2470. ('fix_perfect', Remove_100(target='label')),
  2471. ('clean_names', Clean_Colum_Names()),
  2472. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2473. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2474. verbose=False)
  2475. 2022-01-17 14:09:05,720:INFO:get_config() succesfully completed......................................
  2476. 2022-01-17 14:09:05,721:INFO:Fitting Model
  2477. 2022-01-17 14:09:07,028:INFO:Visual Rendered Successfully
  2478. 2022-01-17 14:09:07,132:INFO:plot_model() succesfully completed......................................
  2479. 2022-01-17 14:09:19,334:INFO:Initializing plot_model()
  2480. 2022-01-17 14:09:19,334:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2481. criterion='gini', max_depth=None, max_features='auto',
  2482. max_leaf_nodes=None, max_samples=None,
  2483. min_impurity_decrease=0.0, min_impurity_split=None,
  2484. min_samples_leaf=1, min_samples_split=2,
  2485. min_weight_fraction_leaf=0.0, n_estimators=100,
  2486. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2487. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  2488. 2022-01-17 14:09:19,334:INFO:Checking exceptions
  2489. 2022-01-17 14:09:19,348:INFO:Preparing display monitor
  2490. 2022-01-17 14:09:19,353:INFO:Preloading libraries
  2491. 2022-01-17 14:09:19,359:INFO:Copying training dataset
  2492. 2022-01-17 14:09:19,360:INFO:Copying test dataset
  2493. 2022-01-17 14:09:19,360:INFO:Plot type: lift
  2494. 2022-01-17 14:09:19,386:INFO:Generating predictions / predict_proba on X_test
  2495. 2022-01-17 14:09:19,515:INFO:Visual Rendered Successfully
  2496. 2022-01-17 14:09:19,589:INFO:plot_model() succesfully completed......................................
  2497. 2022-01-17 14:09:23,210:INFO:Initializing plot_model()
  2498. 2022-01-17 14:09:23,211:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2499. criterion='gini', max_depth=None, max_features='auto',
  2500. max_leaf_nodes=None, max_samples=None,
  2501. min_impurity_decrease=0.0, min_impurity_split=None,
  2502. min_samples_leaf=1, min_samples_split=2,
  2503. min_weight_fraction_leaf=0.0, n_estimators=100,
  2504. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2505. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  2506. 2022-01-17 14:09:23,211:INFO:Checking exceptions
  2507. 2022-01-17 14:09:23,224:INFO:Preparing display monitor
  2508. 2022-01-17 14:09:23,229:INFO:Preloading libraries
  2509. 2022-01-17 14:09:23,235:INFO:Copying training dataset
  2510. 2022-01-17 14:09:23,236:INFO:Copying test dataset
  2511. 2022-01-17 14:09:23,236:INFO:Plot type: gain
  2512. 2022-01-17 14:09:23,262:INFO:Generating predictions / predict_proba on X_test
  2513. 2022-01-17 14:09:23,384:INFO:Visual Rendered Successfully
  2514. 2022-01-17 14:09:23,464:INFO:plot_model() succesfully completed......................................
  2515. 2022-01-17 14:09:25,495:INFO:Initializing plot_model()
  2516. 2022-01-17 14:09:25,496:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2517. criterion='gini', max_depth=None, max_features='auto',
  2518. max_leaf_nodes=None, max_samples=None,
  2519. min_impurity_decrease=0.0, min_impurity_split=None,
  2520. min_samples_leaf=1, min_samples_split=2,
  2521. min_weight_fraction_leaf=0.0, n_estimators=100,
  2522. n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
  2523. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  2524. 2022-01-17 14:09:25,496:INFO:Checking exceptions
  2525. 2022-01-17 14:09:25,509:INFO:Preparing display monitor
  2526. 2022-01-17 14:09:25,515:INFO:Preloading libraries
  2527. 2022-01-17 14:09:25,521:INFO:Copying training dataset
  2528. 2022-01-17 14:09:25,522:INFO:Copying test dataset
  2529. 2022-01-17 14:09:25,522:INFO:Plot type: tree
  2530. 2022-01-17 14:09:26,537:INFO:Plotting decision trees
  2531. 2022-01-17 14:09:26,542:INFO:Plotting tree 0
  2532. 2022-01-17 14:09:28,332:INFO:Plotting tree 1
  2533. 2022-01-17 14:09:30,091:INFO:Plotting tree 2
  2534. 2022-01-17 14:09:31,900:INFO:Plotting tree 3
  2535. 2022-01-17 14:09:33,639:INFO:Plotting tree 4
  2536. 2022-01-17 14:09:35,406:INFO:Plotting tree 5
  2537. 2022-01-17 14:09:37,118:INFO:Plotting tree 6
  2538. 2022-01-17 14:09:38,825:INFO:Plotting tree 7
  2539. 2022-01-17 14:09:40,746:INFO:Plotting tree 8
  2540. 2022-01-17 14:09:42,530:INFO:Plotting tree 9
  2541. 2022-01-17 14:09:44,309:INFO:Plotting tree 10
  2542. 2022-01-17 14:09:45,969:INFO:Plotting tree 11
  2543. 2022-01-17 14:09:47,996:INFO:Plotting tree 12
  2544. 2022-01-17 14:09:49,746:INFO:Plotting tree 13
  2545. 2022-01-17 14:09:51,378:INFO:Plotting tree 14
  2546. 2022-01-17 14:09:53,261:INFO:Plotting tree 15
  2547. 2022-01-17 14:09:55,019:INFO:Plotting tree 16
  2548. 2022-01-17 14:09:56,745:INFO:Plotting tree 17
  2549. 2022-01-17 14:09:58,676:INFO:Plotting tree 18
  2550. 2022-01-17 14:10:00,263:INFO:Plotting tree 19
  2551. 2022-01-17 14:10:02,089:INFO:Plotting tree 20
  2552. 2022-01-17 14:10:03,925:INFO:Plotting tree 21
  2553. 2022-01-17 14:10:05,516:INFO:Plotting tree 22
  2554. 2022-01-17 14:10:07,184:INFO:Plotting tree 23
  2555. 2022-01-17 14:10:09,142:INFO:Plotting tree 24
  2556. 2022-01-17 14:10:10,768:INFO:Plotting tree 25
  2557. 2022-01-17 14:10:12,383:INFO:Plotting tree 26
  2558. 2022-01-17 14:10:14,068:INFO:Plotting tree 27
  2559. 2022-01-17 14:10:15,780:INFO:Plotting tree 28
  2560. 2022-01-17 14:10:17,441:INFO:Plotting tree 29
  2561. 2022-01-17 14:10:19,177:INFO:Plotting tree 30
  2562. 2022-01-17 14:10:20,973:INFO:Plotting tree 31
  2563. 2022-01-17 14:10:22,854:INFO:Plotting tree 32
  2564. 2022-01-17 14:10:24,603:INFO:Plotting tree 33
  2565. 2022-01-17 14:10:26,152:INFO:Plotting tree 34
  2566. 2022-01-17 14:10:27,861:INFO:Plotting tree 35
  2567. 2022-01-17 14:10:29,600:INFO:Plotting tree 36
  2568. 2022-01-17 14:10:31,275:INFO:Plotting tree 37
  2569. 2022-01-17 14:10:33,163:INFO:Plotting tree 38
  2570. 2022-01-17 14:10:34,802:INFO:Plotting tree 39
  2571. 2022-01-17 14:10:36,516:INFO:Plotting tree 40
  2572. 2022-01-17 14:10:38,677:INFO:Plotting tree 41
  2573. 2022-01-17 14:10:40,351:INFO:Plotting tree 42
  2574. 2022-01-17 14:10:42,134:INFO:Plotting tree 43
  2575. 2022-01-17 14:10:43,788:INFO:Plotting tree 44
  2576. 2022-01-17 14:10:45,502:INFO:Plotting tree 45
  2577. 2022-01-17 14:10:47,238:INFO:Plotting tree 46
  2578. 2022-01-17 14:10:49,055:INFO:Plotting tree 47
  2579. 2022-01-17 14:10:50,813:INFO:Plotting tree 48
  2580. 2022-01-17 14:10:52,595:INFO:Plotting tree 49
  2581. 2022-01-17 14:10:54,325:INFO:Plotting tree 50
  2582. 2022-01-17 14:10:56,089:INFO:Plotting tree 51
  2583. 2022-01-17 14:10:58,219:INFO:Plotting tree 52
  2584. 2022-01-17 14:10:59,776:INFO:Plotting tree 53
  2585. 2022-01-17 14:11:01,532:INFO:Plotting tree 54
  2586. 2022-01-17 14:11:03,177:INFO:Plotting tree 55
  2587. 2022-01-17 14:11:05,002:INFO:Plotting tree 56
  2588. 2022-01-17 14:11:06,885:INFO:Plotting tree 57
  2589. 2022-01-17 14:11:08,543:INFO:Plotting tree 58
  2590. 2022-01-17 14:11:10,182:INFO:Plotting tree 59
  2591. 2022-01-17 14:11:11,836:INFO:Plotting tree 60
  2592. 2022-01-17 14:11:13,648:INFO:Plotting tree 61
  2593. 2022-01-17 14:11:15,345:INFO:Plotting tree 62
  2594. 2022-01-17 14:11:17,166:INFO:Plotting tree 63
  2595. 2022-01-17 14:11:19,487:INFO:Plotting tree 64
  2596. 2022-01-17 14:11:21,292:INFO:Plotting tree 65
  2597. 2022-01-17 14:11:22,969:INFO:Plotting tree 66
  2598. 2022-01-17 14:11:24,654:INFO:Plotting tree 67
  2599. 2022-01-17 14:11:26,434:INFO:Plotting tree 68
  2600. 2022-01-17 14:11:28,139:INFO:Plotting tree 69
  2601. 2022-01-17 14:11:29,848:INFO:Plotting tree 70
  2602. 2022-01-17 14:11:31,585:INFO:Plotting tree 71
  2603. 2022-01-17 14:11:33,241:INFO:Plotting tree 72
  2604. 2022-01-17 14:11:35,057:INFO:Plotting tree 73
  2605. 2022-01-17 14:11:36,731:INFO:Plotting tree 74
  2606. 2022-01-17 14:11:38,269:INFO:Plotting tree 75
  2607. 2022-01-17 14:11:40,126:INFO:Plotting tree 76
  2608. 2022-01-17 14:11:41,992:INFO:Plotting tree 77
  2609. 2022-01-17 14:11:43,863:INFO:Plotting tree 78
  2610. 2022-01-17 14:11:46,324:INFO:Plotting tree 79
  2611. 2022-01-17 14:11:48,142:INFO:Plotting tree 80
  2612. 2022-01-17 14:11:50,008:INFO:Plotting tree 81
  2613. 2022-01-17 14:11:51,671:INFO:Plotting tree 82
  2614. 2022-01-17 14:11:53,472:INFO:Plotting tree 83
  2615. 2022-01-17 14:11:55,450:INFO:Plotting tree 84
  2616. 2022-01-17 14:11:57,306:INFO:Plotting tree 85
  2617. 2022-01-17 14:11:59,101:INFO:Plotting tree 86
  2618. 2022-01-17 14:12:00,769:INFO:Plotting tree 87
  2619. 2022-01-17 14:12:02,525:INFO:Plotting tree 88
  2620. 2022-01-17 14:12:04,110:INFO:Plotting tree 89
  2621. 2022-01-17 14:12:05,813:INFO:Plotting tree 90
  2622. 2022-01-17 14:12:07,556:INFO:Plotting tree 91
  2623. 2022-01-17 14:12:09,137:INFO:Plotting tree 92
  2624. 2022-01-17 14:12:10,846:INFO:Plotting tree 93
  2625. 2022-01-17 14:12:12,496:INFO:Plotting tree 94
  2626. 2022-01-17 14:12:14,130:INFO:Plotting tree 95
  2627. 2022-01-17 14:12:16,541:INFO:Plotting tree 96
  2628. 2022-01-17 14:12:18,264:INFO:Plotting tree 97
  2629. 2022-01-17 14:12:20,048:INFO:Plotting tree 98
  2630. 2022-01-17 14:12:21,761:INFO:Plotting tree 99
  2631. 2022-01-17 14:18:50,862:INFO:Initializing plot_model()
  2632. 2022-01-17 14:18:50,863:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
  2633. criterion='gini', max_depth=9, max_features=1.0,
  2634. max_leaf_nodes=None, max_samples=None,
  2635. min_impurity_decrease=0.3, min_impurity_split=None,
  2636. min_samples_leaf=4, min_samples_split=10,
  2637. min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
  2638. oob_score=False, random_state=7446, verbose=0,
  2639. warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
  2640. 2022-01-17 14:18:50,863:INFO:Checking exceptions
  2641. 2022-01-17 14:18:50,871:INFO:Preparing display monitor
  2642. 2022-01-17 14:18:50,876:INFO:Preloading libraries
  2643. 2022-01-17 14:18:50,885:INFO:Copying training dataset
  2644. 2022-01-17 14:18:50,886:INFO:Copying test dataset
  2645. 2022-01-17 14:18:50,887:INFO:Plot type: feature
  2646. 2022-01-17 14:18:50,903:WARNING:No coef_ found. Trying feature_importances_
  2647. 2022-01-17 14:18:50,994:INFO:Visual Rendered Successfully
  2648. 2022-01-17 14:18:52,566:INFO:plot_model() succesfully completed......................................
  2649. 2022-01-17 14:20:56,926:INFO:PyCaret Supervised Module
  2650. 2022-01-17 14:20:56,926:INFO:ML Usecase: classification
  2651. 2022-01-17 14:20:56,926:INFO:version 2.3.6
  2652. 2022-01-17 14:20:56,926:INFO:Initializing setup()
  2653. 2022-01-17 14:20:56,926:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  2654. 2022-01-17 14:20:56,927:INFO:Checking environment
  2655. 2022-01-17 14:20:56,927:INFO:python_version: 3.8.8
  2656. 2022-01-17 14:20:56,927:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  2657. 2022-01-17 14:20:56,927:INFO:machine: x86_64
  2658. 2022-01-17 14:20:56,927:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  2659. 2022-01-17 14:20:56,928:INFO:Memory: svmem(total=33619935232, available=29885726720, percent=11.1, used=2888994816, free=27308118016, active=1189433344, inactive=4528005120, buffers=594862080, cached=2827960320, shared=383557632, slab=297947136)
  2660. 2022-01-17 14:20:56,929:INFO:Physical Core: 16
  2661. 2022-01-17 14:20:56,929:INFO:Logical Core: 32
  2662. 2022-01-17 14:20:56,929:INFO:Checking libraries
  2663. 2022-01-17 14:20:56,929:INFO:pd==1.2.4
  2664. 2022-01-17 14:20:56,929:INFO:numpy==1.19.5
  2665. 2022-01-17 14:20:56,929:INFO:sklearn==0.23.2
  2666. 2022-01-17 14:20:56,929:INFO:lightgbm==3.3.2
  2667. 2022-01-17 14:20:56,930:WARNING:catboost not found
  2668. 2022-01-17 14:20:56,930:WARNING:xgboost not found
  2669. 2022-01-17 14:20:57,049:INFO:mlflow==1.22.0
  2670. 2022-01-17 14:20:57,050:INFO:Checking Exceptions
  2671. 2022-01-17 14:20:57,050:INFO:Declaring global variables
  2672. 2022-01-17 14:20:57,050:INFO:USI: 9111
  2673. 2022-01-17 14:20:57,051:INFO:pycaret_globals: {'fold_groups_param_full', 'fold_param', 'data_before_preprocess', '_all_models_internal', 'y_test', 'logging_param', 'gpu_param', 'target_param', 'create_model_container', 'fold_groups_param', 'log_plots_param', '_available_plots', 'display_container', '_internal_pipeline', 'stratify_param', 'fold_generator', 'X_test', 'imputation_regressor', 'prep_pipe', 'USI', 'master_model_container', 'y_train', 'html_param', '_all_models', 'transform_target_param', 'imputation_classifier', '_gpu_n_jobs_param', 'fix_imbalance_method_param', 'y', 'transform_target_method_param', 'iterative_imputation_iters_param', 'n_jobs_param', 'fix_imbalance_param', '_ml_usecase', '_all_metrics', 'seed', 'pycaret_globals', 'exp_name_log', 'fold_shuffle_param', 'X_train', 'X', 'experiment__'}
  2674. 2022-01-17 14:20:57,051:INFO:Preparing display monitor
  2675. 2022-01-17 14:20:57,051:INFO:Preparing display monitor
  2676. 2022-01-17 14:20:57,062:INFO:Importing libraries
  2677. 2022-01-17 14:20:57,063:INFO:Copying data for preprocessing
  2678. 2022-01-17 14:20:57,068:INFO:Declaring preprocessing parameters
  2679. 2022-01-17 14:20:57,069:WARNING:cuML not found
  2680. 2022-01-17 14:20:57,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  2681. 2022-01-17 14:20:57,071:INFO:Creating preprocessing pipeline
  2682. 2022-01-17 14:20:57,086:INFO:Preprocessing pipeline created successfully
  2683. 2022-01-17 14:20:57,087:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  2684. 2022-01-17 14:20:57,087:INFO:Creating global containers
  2685. 2022-01-17 14:20:57,088:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  2686. 2022-01-17 14:21:38,452:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  2687. 2022-01-17 14:21:38,480:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  2688. 2022-01-17 14:21:38,481:WARNING:Couldn't import cuml.MBSGDClassifier
  2689. 2022-01-17 14:21:38,482:WARNING:Couldn't import cuml.svm.SVC
  2690. 2022-01-17 14:21:38,497:WARNING:Couldn't import cuml.linear_model
  2691. 2022-01-17 14:21:38,501:WARNING:Couldn't import cuml.ensemble
  2692. 2022-01-17 14:21:38,503:WARNING:Couldn't import xgboost.XGBClassifier
  2693. 2022-01-17 14:21:38,509:WARNING:Couldn't import catboost.CatBoostClassifier
  2694. 2022-01-17 14:21:38,513:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  2695. 2022-01-17 14:21:38,541:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  2696. 2022-01-17 14:21:38,541:WARNING:Couldn't import cuml.MBSGDClassifier
  2697. 2022-01-17 14:21:38,542:WARNING:Couldn't import cuml.svm.SVC
  2698. 2022-01-17 14:21:38,556:WARNING:Couldn't import cuml.linear_model
  2699. 2022-01-17 14:21:38,559:WARNING:Couldn't import cuml.ensemble
  2700. 2022-01-17 14:21:38,560:WARNING:Couldn't import xgboost.XGBClassifier
  2701. 2022-01-17 14:21:38,564:WARNING:Couldn't import catboost.CatBoostClassifier
  2702. 2022-01-17 14:21:38,565:INFO:Creating grid variables
  2703. 2022-01-17 14:21:38,577:INFO:create_model_container: 0
  2704. 2022-01-17 14:21:38,577:INFO:master_model_container: 0
  2705. 2022-01-17 14:21:38,578:INFO:display_container: 1
  2706. 2022-01-17 14:21:38,581:INFO:Pipeline(memory=None,
  2707. steps=[('dtypes',
  2708. DataTypes_Auto_infer(categorical_features=[],
  2709. display_types=True, features_todrop=[],
  2710. id_columns=[],
  2711. ml_usecase='classification',
  2712. numerical_features=[], target='label',
  2713. time_features=[])),
  2714. ('imputer',
  2715. Simple_Imputer(categorical_strategy='not_available',
  2716. fill_value_categorical=None,
  2717. fill_value_numerical=None,
  2718. numeric_strate...
  2719. target='label')),
  2720. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  2721. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  2722. ('dummy', Dummify(target='label')),
  2723. ('fix_perfect', Remove_100(target='label')),
  2724. ('clean_names', Clean_Colum_Names()),
  2725. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  2726. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  2727. verbose=False)
  2728. 2022-01-17 14:21:38,581:INFO:setup() succesfully completed......................................
  2729. 2022-01-17 14:22:17,351:INFO:Initializing compare_models()
  2730. 2022-01-17 14:22:17,351:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  2731. 2022-01-17 14:22:17,351:INFO:Checking exceptions
  2732. 2022-01-17 14:22:17,352:INFO:Preparing display monitor
  2733. 2022-01-17 14:22:17,352:INFO:Preparing display monitor
  2734. 2022-01-17 14:22:17,369:INFO:Initializing Logistic Regression
  2735. 2022-01-17 14:22:17,369:INFO:Total runtime is 5.825360616048177e-06 minutes
  2736. 2022-01-17 14:22:17,375:INFO:SubProcess create_model() called ==================================
  2737. 2022-01-17 14:22:17,375:INFO:Initializing create_model()
  2738. 2022-01-17 14:22:17,375:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2739. 2022-01-17 14:22:17,376:INFO:Checking exceptions
  2740. 2022-01-17 14:22:17,376:INFO:Importing libraries
  2741. 2022-01-17 14:22:17,376:INFO:Copying training dataset
  2742. 2022-01-17 14:22:17,377:INFO:Defining folds
  2743. 2022-01-17 14:22:17,377:INFO:Declaring metric variables
  2744. 2022-01-17 14:22:17,382:INFO:Importing untrained model
  2745. 2022-01-17 14:22:17,387:INFO:Logistic Regression Imported succesfully
  2746. 2022-01-17 14:22:17,398:INFO:Starting cross validation
  2747. 2022-01-17 14:22:17,399:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2748. 2022-01-17 14:22:19,126:INFO:Calculating mean and std
  2749. 2022-01-17 14:22:19,129:INFO:Creating metrics dataframe
  2750. 2022-01-17 14:22:19,135:INFO:Uploading results into container
  2751. 2022-01-17 14:22:19,136:INFO:Uploading model into container now
  2752. 2022-01-17 14:22:19,136:INFO:create_model_container: 1
  2753. 2022-01-17 14:22:19,136:INFO:master_model_container: 1
  2754. 2022-01-17 14:22:19,136:INFO:display_container: 2
  2755. 2022-01-17 14:22:19,137:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  2756. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  2757. multi_class='auto', n_jobs=None, penalty='l2',
  2758. random_state=4642, solver='lbfgs', tol=0.0001, verbose=0,
  2759. warm_start=False)
  2760. 2022-01-17 14:22:19,137:INFO:create_model() succesfully completed......................................
  2761. 2022-01-17 14:22:19,220:INFO:SubProcess create_model() end ==================================
  2762. 2022-01-17 14:22:19,220:INFO:Creating metrics dataframe
  2763. 2022-01-17 14:22:19,229:INFO:Initializing K Neighbors Classifier
  2764. 2022-01-17 14:22:19,229:INFO:Total runtime is 0.03100540240605672 minutes
  2765. 2022-01-17 14:22:19,235:INFO:SubProcess create_model() called ==================================
  2766. 2022-01-17 14:22:19,235:INFO:Initializing create_model()
  2767. 2022-01-17 14:22:19,235:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2768. 2022-01-17 14:22:19,236:INFO:Checking exceptions
  2769. 2022-01-17 14:22:19,236:INFO:Importing libraries
  2770. 2022-01-17 14:22:19,236:INFO:Copying training dataset
  2771. 2022-01-17 14:22:19,237:INFO:Defining folds
  2772. 2022-01-17 14:22:19,237:INFO:Declaring metric variables
  2773. 2022-01-17 14:22:19,241:INFO:Importing untrained model
  2774. 2022-01-17 14:22:19,246:INFO:K Neighbors Classifier Imported succesfully
  2775. 2022-01-17 14:22:19,256:INFO:Starting cross validation
  2776. 2022-01-17 14:22:19,257:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2777. 2022-01-17 14:22:24,781:INFO:Calculating mean and std
  2778. 2022-01-17 14:22:24,782:INFO:Creating metrics dataframe
  2779. 2022-01-17 14:22:24,785:INFO:Uploading results into container
  2780. 2022-01-17 14:22:24,785:INFO:Uploading model into container now
  2781. 2022-01-17 14:22:24,786:INFO:create_model_container: 2
  2782. 2022-01-17 14:22:24,786:INFO:master_model_container: 2
  2783. 2022-01-17 14:22:24,786:INFO:display_container: 2
  2784. 2022-01-17 14:22:24,786:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  2785. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  2786. weights='uniform')
  2787. 2022-01-17 14:22:24,787:INFO:create_model() succesfully completed......................................
  2788. 2022-01-17 14:22:24,860:INFO:SubProcess create_model() end ==================================
  2789. 2022-01-17 14:22:24,860:INFO:Creating metrics dataframe
  2790. 2022-01-17 14:22:24,871:INFO:Initializing Naive Bayes
  2791. 2022-01-17 14:22:24,871:INFO:Total runtime is 0.1250363866488139 minutes
  2792. 2022-01-17 14:22:24,877:INFO:SubProcess create_model() called ==================================
  2793. 2022-01-17 14:22:24,877:INFO:Initializing create_model()
  2794. 2022-01-17 14:22:24,877:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2795. 2022-01-17 14:22:24,878:INFO:Checking exceptions
  2796. 2022-01-17 14:22:24,878:INFO:Importing libraries
  2797. 2022-01-17 14:22:24,878:INFO:Copying training dataset
  2798. 2022-01-17 14:22:24,879:INFO:Defining folds
  2799. 2022-01-17 14:22:24,879:INFO:Declaring metric variables
  2800. 2022-01-17 14:22:24,885:INFO:Importing untrained model
  2801. 2022-01-17 14:22:24,890:INFO:Naive Bayes Imported succesfully
  2802. 2022-01-17 14:22:24,900:INFO:Starting cross validation
  2803. 2022-01-17 14:22:24,901:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2804. 2022-01-17 14:22:25,010:INFO:Calculating mean and std
  2805. 2022-01-17 14:22:25,010:INFO:Creating metrics dataframe
  2806. 2022-01-17 14:22:25,013:INFO:Uploading results into container
  2807. 2022-01-17 14:22:25,013:INFO:Uploading model into container now
  2808. 2022-01-17 14:22:25,013:INFO:create_model_container: 3
  2809. 2022-01-17 14:22:25,014:INFO:master_model_container: 3
  2810. 2022-01-17 14:22:25,014:INFO:display_container: 2
  2811. 2022-01-17 14:22:25,014:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  2812. 2022-01-17 14:22:25,014:INFO:create_model() succesfully completed......................................
  2813. 2022-01-17 14:22:25,079:INFO:SubProcess create_model() end ==================================
  2814. 2022-01-17 14:22:25,079:INFO:Creating metrics dataframe
  2815. 2022-01-17 14:22:25,090:INFO:Initializing Decision Tree Classifier
  2816. 2022-01-17 14:22:25,090:INFO:Total runtime is 0.12867645819981893 minutes
  2817. 2022-01-17 14:22:25,095:INFO:SubProcess create_model() called ==================================
  2818. 2022-01-17 14:22:25,096:INFO:Initializing create_model()
  2819. 2022-01-17 14:22:25,096:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2820. 2022-01-17 14:22:25,096:INFO:Checking exceptions
  2821. 2022-01-17 14:22:25,096:INFO:Importing libraries
  2822. 2022-01-17 14:22:25,096:INFO:Copying training dataset
  2823. 2022-01-17 14:22:25,097:INFO:Defining folds
  2824. 2022-01-17 14:22:25,097:INFO:Declaring metric variables
  2825. 2022-01-17 14:22:25,102:INFO:Importing untrained model
  2826. 2022-01-17 14:22:25,107:INFO:Decision Tree Classifier Imported succesfully
  2827. 2022-01-17 14:22:25,117:INFO:Starting cross validation
  2828. 2022-01-17 14:22:25,118:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2829. 2022-01-17 14:22:25,365:INFO:Calculating mean and std
  2830. 2022-01-17 14:22:25,366:INFO:Creating metrics dataframe
  2831. 2022-01-17 14:22:25,368:INFO:Uploading results into container
  2832. 2022-01-17 14:22:25,368:INFO:Uploading model into container now
  2833. 2022-01-17 14:22:25,369:INFO:create_model_container: 4
  2834. 2022-01-17 14:22:25,369:INFO:master_model_container: 4
  2835. 2022-01-17 14:22:25,369:INFO:display_container: 2
  2836. 2022-01-17 14:22:25,369:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  2837. max_depth=None, max_features=None, max_leaf_nodes=None,
  2838. min_impurity_decrease=0.0, min_impurity_split=None,
  2839. min_samples_leaf=1, min_samples_split=2,
  2840. min_weight_fraction_leaf=0.0, presort='deprecated',
  2841. random_state=4642, splitter='best')
  2842. 2022-01-17 14:22:25,369:INFO:create_model() succesfully completed......................................
  2843. 2022-01-17 14:22:25,435:INFO:SubProcess create_model() end ==================================
  2844. 2022-01-17 14:22:25,436:INFO:Creating metrics dataframe
  2845. 2022-01-17 14:22:25,447:INFO:Initializing SVM - Linear Kernel
  2846. 2022-01-17 14:22:25,447:INFO:Total runtime is 0.13463132778803508 minutes
  2847. 2022-01-17 14:22:25,452:INFO:SubProcess create_model() called ==================================
  2848. 2022-01-17 14:22:25,452:INFO:Initializing create_model()
  2849. 2022-01-17 14:22:25,453:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2850. 2022-01-17 14:22:25,453:INFO:Checking exceptions
  2851. 2022-01-17 14:22:25,453:INFO:Importing libraries
  2852. 2022-01-17 14:22:25,453:INFO:Copying training dataset
  2853. 2022-01-17 14:22:25,454:INFO:Defining folds
  2854. 2022-01-17 14:22:25,454:INFO:Declaring metric variables
  2855. 2022-01-17 14:22:25,458:INFO:Importing untrained model
  2856. 2022-01-17 14:22:25,464:INFO:SVM - Linear Kernel Imported succesfully
  2857. 2022-01-17 14:22:25,474:INFO:Starting cross validation
  2858. 2022-01-17 14:22:25,474:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2859. 2022-01-17 14:22:26,094:INFO:Calculating mean and std
  2860. 2022-01-17 14:22:26,095:INFO:Creating metrics dataframe
  2861. 2022-01-17 14:22:26,102:INFO:Uploading results into container
  2862. 2022-01-17 14:22:26,103:INFO:Uploading model into container now
  2863. 2022-01-17 14:22:26,103:INFO:create_model_container: 5
  2864. 2022-01-17 14:22:26,103:INFO:master_model_container: 5
  2865. 2022-01-17 14:22:26,103:INFO:display_container: 2
  2866. 2022-01-17 14:22:26,105:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  2867. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  2868. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  2869. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  2870. power_t=0.5, random_state=4642, shuffle=True, tol=0.001,
  2871. validation_fraction=0.1, verbose=0, warm_start=False)
  2872. 2022-01-17 14:22:26,105:INFO:create_model() succesfully completed......................................
  2873. 2022-01-17 14:22:26,189:INFO:SubProcess create_model() end ==================================
  2874. 2022-01-17 14:22:26,189:INFO:Creating metrics dataframe
  2875. 2022-01-17 14:22:26,201:INFO:Initializing Ridge Classifier
  2876. 2022-01-17 14:22:26,201:INFO:Total runtime is 0.14719861348470054 minutes
  2877. 2022-01-17 14:22:26,206:INFO:SubProcess create_model() called ==================================
  2878. 2022-01-17 14:22:26,207:INFO:Initializing create_model()
  2879. 2022-01-17 14:22:26,207:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2880. 2022-01-17 14:22:26,207:INFO:Checking exceptions
  2881. 2022-01-17 14:22:26,207:INFO:Importing libraries
  2882. 2022-01-17 14:22:26,207:INFO:Copying training dataset
  2883. 2022-01-17 14:22:26,208:INFO:Defining folds
  2884. 2022-01-17 14:22:26,208:INFO:Declaring metric variables
  2885. 2022-01-17 14:22:26,213:INFO:Importing untrained model
  2886. 2022-01-17 14:22:26,218:INFO:Ridge Classifier Imported succesfully
  2887. 2022-01-17 14:22:26,227:INFO:Starting cross validation
  2888. 2022-01-17 14:22:26,228:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2889. 2022-01-17 14:22:26,585:INFO:Calculating mean and std
  2890. 2022-01-17 14:22:26,586:INFO:Creating metrics dataframe
  2891. 2022-01-17 14:22:26,589:INFO:Uploading results into container
  2892. 2022-01-17 14:22:26,590:INFO:Uploading model into container now
  2893. 2022-01-17 14:22:26,590:INFO:create_model_container: 6
  2894. 2022-01-17 14:22:26,590:INFO:master_model_container: 6
  2895. 2022-01-17 14:22:26,590:INFO:display_container: 2
  2896. 2022-01-17 14:22:26,591:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  2897. max_iter=None, normalize=False, random_state=4642,
  2898. solver='auto', tol=0.001)
  2899. 2022-01-17 14:22:26,591:INFO:create_model() succesfully completed......................................
  2900. 2022-01-17 14:22:26,698:INFO:SubProcess create_model() end ==================================
  2901. 2022-01-17 14:22:26,698:INFO:Creating metrics dataframe
  2902. 2022-01-17 14:22:26,709:INFO:Initializing Random Forest Classifier
  2903. 2022-01-17 14:22:26,710:INFO:Total runtime is 0.15567574898401898 minutes
  2904. 2022-01-17 14:22:26,715:INFO:SubProcess create_model() called ==================================
  2905. 2022-01-17 14:22:26,715:INFO:Initializing create_model()
  2906. 2022-01-17 14:22:26,715:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2907. 2022-01-17 14:22:26,715:INFO:Checking exceptions
  2908. 2022-01-17 14:22:26,716:INFO:Importing libraries
  2909. 2022-01-17 14:22:26,716:INFO:Copying training dataset
  2910. 2022-01-17 14:22:26,716:INFO:Defining folds
  2911. 2022-01-17 14:22:26,717:INFO:Declaring metric variables
  2912. 2022-01-17 14:22:26,721:INFO:Importing untrained model
  2913. 2022-01-17 14:22:26,726:INFO:Random Forest Classifier Imported succesfully
  2914. 2022-01-17 14:22:26,736:INFO:Starting cross validation
  2915. 2022-01-17 14:22:26,737:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2916. 2022-01-17 14:22:32,411:INFO:Calculating mean and std
  2917. 2022-01-17 14:22:32,412:INFO:Creating metrics dataframe
  2918. 2022-01-17 14:22:32,415:INFO:Uploading results into container
  2919. 2022-01-17 14:22:32,415:INFO:Uploading model into container now
  2920. 2022-01-17 14:22:32,415:INFO:create_model_container: 7
  2921. 2022-01-17 14:22:32,415:INFO:master_model_container: 7
  2922. 2022-01-17 14:22:32,416:INFO:display_container: 2
  2923. 2022-01-17 14:22:32,416:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  2924. criterion='gini', max_depth=None, max_features='auto',
  2925. max_leaf_nodes=None, max_samples=None,
  2926. min_impurity_decrease=0.0, min_impurity_split=None,
  2927. min_samples_leaf=1, min_samples_split=2,
  2928. min_weight_fraction_leaf=0.0, n_estimators=100,
  2929. n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
  2930. warm_start=False)
  2931. 2022-01-17 14:22:32,416:INFO:create_model() succesfully completed......................................
  2932. 2022-01-17 14:22:32,488:INFO:SubProcess create_model() end ==================================
  2933. 2022-01-17 14:22:32,488:INFO:Creating metrics dataframe
  2934. 2022-01-17 14:22:32,499:INFO:Initializing Quadratic Discriminant Analysis
  2935. 2022-01-17 14:22:32,500:INFO:Total runtime is 0.25217552185058595 minutes
  2936. 2022-01-17 14:22:32,505:INFO:SubProcess create_model() called ==================================
  2937. 2022-01-17 14:22:32,505:INFO:Initializing create_model()
  2938. 2022-01-17 14:22:32,505:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2939. 2022-01-17 14:22:32,506:INFO:Checking exceptions
  2940. 2022-01-17 14:22:32,506:INFO:Importing libraries
  2941. 2022-01-17 14:22:32,506:INFO:Copying training dataset
  2942. 2022-01-17 14:22:32,507:INFO:Defining folds
  2943. 2022-01-17 14:22:32,507:INFO:Declaring metric variables
  2944. 2022-01-17 14:22:32,511:INFO:Importing untrained model
  2945. 2022-01-17 14:22:32,516:INFO:Quadratic Discriminant Analysis Imported succesfully
  2946. 2022-01-17 14:22:32,526:INFO:Starting cross validation
  2947. 2022-01-17 14:22:32,527:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2948. 2022-01-17 14:22:32,870:INFO:Calculating mean and std
  2949. 2022-01-17 14:22:32,871:INFO:Creating metrics dataframe
  2950. 2022-01-17 14:22:32,877:INFO:Uploading results into container
  2951. 2022-01-17 14:22:32,878:INFO:Uploading model into container now
  2952. 2022-01-17 14:22:32,878:INFO:create_model_container: 8
  2953. 2022-01-17 14:22:32,878:INFO:master_model_container: 8
  2954. 2022-01-17 14:22:32,879:INFO:display_container: 2
  2955. 2022-01-17 14:22:32,879:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  2956. store_covariance=False, tol=0.0001)
  2957. 2022-01-17 14:22:32,879:INFO:create_model() succesfully completed......................................
  2958. 2022-01-17 14:22:32,964:INFO:SubProcess create_model() end ==================================
  2959. 2022-01-17 14:22:32,964:INFO:Creating metrics dataframe
  2960. 2022-01-17 14:22:32,976:INFO:Initializing Ada Boost Classifier
  2961. 2022-01-17 14:22:32,976:INFO:Total runtime is 0.2601176619529724 minutes
  2962. 2022-01-17 14:22:32,982:INFO:SubProcess create_model() called ==================================
  2963. 2022-01-17 14:22:32,982:INFO:Initializing create_model()
  2964. 2022-01-17 14:22:32,982:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2965. 2022-01-17 14:22:32,983:INFO:Checking exceptions
  2966. 2022-01-17 14:22:32,983:INFO:Importing libraries
  2967. 2022-01-17 14:22:32,983:INFO:Copying training dataset
  2968. 2022-01-17 14:22:32,984:INFO:Defining folds
  2969. 2022-01-17 14:22:32,984:INFO:Declaring metric variables
  2970. 2022-01-17 14:22:32,989:INFO:Importing untrained model
  2971. 2022-01-17 14:22:32,993:INFO:Ada Boost Classifier Imported succesfully
  2972. 2022-01-17 14:22:33,004:INFO:Starting cross validation
  2973. 2022-01-17 14:22:33,004:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  2974. 2022-01-17 14:22:35,248:INFO:Calculating mean and std
  2975. 2022-01-17 14:22:35,249:INFO:Creating metrics dataframe
  2976. 2022-01-17 14:22:35,252:INFO:Uploading results into container
  2977. 2022-01-17 14:22:35,252:INFO:Uploading model into container now
  2978. 2022-01-17 14:22:35,252:INFO:create_model_container: 9
  2979. 2022-01-17 14:22:35,252:INFO:master_model_container: 9
  2980. 2022-01-17 14:22:35,252:INFO:display_container: 2
  2981. 2022-01-17 14:22:35,253:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  2982. n_estimators=50, random_state=4642)
  2983. 2022-01-17 14:22:35,253:INFO:create_model() succesfully completed......................................
  2984. 2022-01-17 14:22:35,323:INFO:SubProcess create_model() end ==================================
  2985. 2022-01-17 14:22:35,323:INFO:Creating metrics dataframe
  2986. 2022-01-17 14:22:35,335:INFO:Initializing Gradient Boosting Classifier
  2987. 2022-01-17 14:22:35,335:INFO:Total runtime is 0.29943839311599735 minutes
  2988. 2022-01-17 14:22:35,341:INFO:SubProcess create_model() called ==================================
  2989. 2022-01-17 14:22:35,341:INFO:Initializing create_model()
  2990. 2022-01-17 14:22:35,342:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  2991. 2022-01-17 14:22:35,342:INFO:Checking exceptions
  2992. 2022-01-17 14:22:35,342:INFO:Importing libraries
  2993. 2022-01-17 14:22:35,342:INFO:Copying training dataset
  2994. 2022-01-17 14:22:35,343:INFO:Defining folds
  2995. 2022-01-17 14:22:35,344:INFO:Declaring metric variables
  2996. 2022-01-17 14:22:35,349:INFO:Importing untrained model
  2997. 2022-01-17 14:22:35,355:INFO:Gradient Boosting Classifier Imported succesfully
  2998. 2022-01-17 14:22:35,367:INFO:Starting cross validation
  2999. 2022-01-17 14:22:35,368:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3000. 2022-01-17 14:22:41,628:INFO:Calculating mean and std
  3001. 2022-01-17 14:22:41,629:INFO:Creating metrics dataframe
  3002. 2022-01-17 14:22:41,632:INFO:Uploading results into container
  3003. 2022-01-17 14:22:41,632:INFO:Uploading model into container now
  3004. 2022-01-17 14:22:41,632:INFO:create_model_container: 10
  3005. 2022-01-17 14:22:41,632:INFO:master_model_container: 10
  3006. 2022-01-17 14:22:41,632:INFO:display_container: 2
  3007. 2022-01-17 14:22:41,633:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  3008. learning_rate=0.1, loss='deviance', max_depth=3,
  3009. max_features=None, max_leaf_nodes=None,
  3010. min_impurity_decrease=0.0, min_impurity_split=None,
  3011. min_samples_leaf=1, min_samples_split=2,
  3012. min_weight_fraction_leaf=0.0, n_estimators=100,
  3013. n_iter_no_change=None, presort='deprecated',
  3014. random_state=4642, subsample=1.0, tol=0.0001,
  3015. validation_fraction=0.1, verbose=0,
  3016. warm_start=False)
  3017. 2022-01-17 14:22:41,633:INFO:create_model() succesfully completed......................................
  3018. 2022-01-17 14:22:41,701:INFO:SubProcess create_model() end ==================================
  3019. 2022-01-17 14:22:41,701:INFO:Creating metrics dataframe
  3020. 2022-01-17 14:22:41,714:INFO:Initializing Linear Discriminant Analysis
  3021. 2022-01-17 14:22:41,714:INFO:Total runtime is 0.40575410525004074 minutes
  3022. 2022-01-17 14:22:41,720:INFO:SubProcess create_model() called ==================================
  3023. 2022-01-17 14:22:41,720:INFO:Initializing create_model()
  3024. 2022-01-17 14:22:41,720:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  3025. 2022-01-17 14:22:41,720:INFO:Checking exceptions
  3026. 2022-01-17 14:22:41,721:INFO:Importing libraries
  3027. 2022-01-17 14:22:41,721:INFO:Copying training dataset
  3028. 2022-01-17 14:22:41,721:INFO:Defining folds
  3029. 2022-01-17 14:22:41,722:INFO:Declaring metric variables
  3030. 2022-01-17 14:22:41,726:INFO:Importing untrained model
  3031. 2022-01-17 14:22:41,731:INFO:Linear Discriminant Analysis Imported succesfully
  3032. 2022-01-17 14:22:41,741:INFO:Starting cross validation
  3033. 2022-01-17 14:22:41,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3034. 2022-01-17 14:22:42,641:INFO:Calculating mean and std
  3035. 2022-01-17 14:22:42,646:INFO:Creating metrics dataframe
  3036. 2022-01-17 14:22:42,652:INFO:Uploading results into container
  3037. 2022-01-17 14:22:42,653:INFO:Uploading model into container now
  3038. 2022-01-17 14:22:42,653:INFO:create_model_container: 11
  3039. 2022-01-17 14:22:42,653:INFO:master_model_container: 11
  3040. 2022-01-17 14:22:42,653:INFO:display_container: 2
  3041. 2022-01-17 14:22:42,653:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  3042. solver='svd', store_covariance=False, tol=0.0001)
  3043. 2022-01-17 14:22:42,654:INFO:create_model() succesfully completed......................................
  3044. 2022-01-17 14:22:42,749:INFO:SubProcess create_model() end ==================================
  3045. 2022-01-17 14:22:42,750:INFO:Creating metrics dataframe
  3046. 2022-01-17 14:22:42,762:INFO:Initializing Extra Trees Classifier
  3047. 2022-01-17 14:22:42,762:INFO:Total runtime is 0.4232224543889364 minutes
  3048. 2022-01-17 14:22:42,768:INFO:SubProcess create_model() called ==================================
  3049. 2022-01-17 14:22:42,768:INFO:Initializing create_model()
  3050. 2022-01-17 14:22:42,768:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  3051. 2022-01-17 14:22:42,769:INFO:Checking exceptions
  3052. 2022-01-17 14:22:42,769:INFO:Importing libraries
  3053. 2022-01-17 14:22:42,769:INFO:Copying training dataset
  3054. 2022-01-17 14:22:42,770:INFO:Defining folds
  3055. 2022-01-17 14:22:42,770:INFO:Declaring metric variables
  3056. 2022-01-17 14:22:42,775:INFO:Importing untrained model
  3057. 2022-01-17 14:22:42,780:INFO:Extra Trees Classifier Imported succesfully
  3058. 2022-01-17 14:22:42,790:INFO:Starting cross validation
  3059. 2022-01-17 14:22:42,790:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3060. 2022-01-17 14:22:48,528:INFO:Calculating mean and std
  3061. 2022-01-17 14:22:48,529:INFO:Creating metrics dataframe
  3062. 2022-01-17 14:22:48,532:INFO:Uploading results into container
  3063. 2022-01-17 14:22:48,532:INFO:Uploading model into container now
  3064. 2022-01-17 14:22:48,532:INFO:create_model_container: 12
  3065. 2022-01-17 14:22:48,532:INFO:master_model_container: 12
  3066. 2022-01-17 14:22:48,532:INFO:display_container: 2
  3067. 2022-01-17 14:22:48,533:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  3068. criterion='gini', max_depth=None, max_features='auto',
  3069. max_leaf_nodes=None, max_samples=None,
  3070. min_impurity_decrease=0.0, min_impurity_split=None,
  3071. min_samples_leaf=1, min_samples_split=2,
  3072. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  3073. oob_score=False, random_state=4642, verbose=0,
  3074. warm_start=False)
  3075. 2022-01-17 14:22:48,533:INFO:create_model() succesfully completed......................................
  3076. 2022-01-17 14:22:48,601:INFO:SubProcess create_model() end ==================================
  3077. 2022-01-17 14:22:48,601:INFO:Creating metrics dataframe
  3078. 2022-01-17 14:22:48,614:INFO:Initializing Light Gradient Boosting Machine
  3079. 2022-01-17 14:22:48,614:INFO:Total runtime is 0.5207454482714335 minutes
  3080. 2022-01-17 14:22:48,619:INFO:SubProcess create_model() called ==================================
  3081. 2022-01-17 14:22:48,619:INFO:Initializing create_model()
  3082. 2022-01-17 14:22:48,620:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  3083. 2022-01-17 14:22:48,620:INFO:Checking exceptions
  3084. 2022-01-17 14:22:48,620:INFO:Importing libraries
  3085. 2022-01-17 14:22:48,620:INFO:Copying training dataset
  3086. 2022-01-17 14:22:48,621:INFO:Defining folds
  3087. 2022-01-17 14:22:48,621:INFO:Declaring metric variables
  3088. 2022-01-17 14:22:48,626:INFO:Importing untrained model
  3089. 2022-01-17 14:22:48,631:INFO:Light Gradient Boosting Machine Imported succesfully
  3090. 2022-01-17 14:22:48,642:INFO:Starting cross validation
  3091. 2022-01-17 14:22:48,642:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3092. 2022-01-17 14:22:50,245:INFO:Calculating mean and std
  3093. 2022-01-17 14:22:50,246:INFO:Creating metrics dataframe
  3094. 2022-01-17 14:22:50,249:INFO:Uploading results into container
  3095. 2022-01-17 14:22:50,249:INFO:Uploading model into container now
  3096. 2022-01-17 14:22:50,250:INFO:create_model_container: 13
  3097. 2022-01-17 14:22:50,250:INFO:master_model_container: 13
  3098. 2022-01-17 14:22:50,250:INFO:display_container: 2
  3099. 2022-01-17 14:22:50,250:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  3100. importance_type='split', learning_rate=0.1, max_depth=-1,
  3101. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  3102. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  3103. random_state=4642, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  3104. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  3105. 2022-01-17 14:22:50,250:INFO:create_model() succesfully completed......................................
  3106. 2022-01-17 14:22:50,314:INFO:SubProcess create_model() end ==================================
  3107. 2022-01-17 14:22:50,314:INFO:Creating metrics dataframe
  3108. 2022-01-17 14:22:50,327:INFO:Initializing Dummy Classifier
  3109. 2022-01-17 14:22:50,327:INFO:Total runtime is 0.5493064363797506 minutes
  3110. 2022-01-17 14:22:50,333:INFO:SubProcess create_model() called ==================================
  3111. 2022-01-17 14:22:50,333:INFO:Initializing create_model()
  3112. 2022-01-17 14:22:50,333:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd85de98a00>, kwargs={})
  3113. 2022-01-17 14:22:50,334:INFO:Checking exceptions
  3114. 2022-01-17 14:22:50,334:INFO:Importing libraries
  3115. 2022-01-17 14:22:50,334:INFO:Copying training dataset
  3116. 2022-01-17 14:22:50,335:INFO:Defining folds
  3117. 2022-01-17 14:22:50,335:INFO:Declaring metric variables
  3118. 2022-01-17 14:22:50,339:INFO:Importing untrained model
  3119. 2022-01-17 14:22:50,344:INFO:Dummy Classifier Imported succesfully
  3120. 2022-01-17 14:22:50,354:INFO:Starting cross validation
  3121. 2022-01-17 14:22:50,355:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3122. 2022-01-17 14:22:50,416:INFO:Calculating mean and std
  3123. 2022-01-17 14:22:50,417:INFO:Creating metrics dataframe
  3124. 2022-01-17 14:22:50,419:INFO:Uploading results into container
  3125. 2022-01-17 14:22:50,419:INFO:Uploading model into container now
  3126. 2022-01-17 14:22:50,420:INFO:create_model_container: 14
  3127. 2022-01-17 14:22:50,420:INFO:master_model_container: 14
  3128. 2022-01-17 14:22:50,420:INFO:display_container: 2
  3129. 2022-01-17 14:22:50,420:INFO:DummyClassifier(constant=None, random_state=4642, strategy='prior')
  3130. 2022-01-17 14:22:50,420:INFO:create_model() succesfully completed......................................
  3131. 2022-01-17 14:22:50,488:INFO:SubProcess create_model() end ==================================
  3132. 2022-01-17 14:22:50,488:INFO:Creating metrics dataframe
  3133. 2022-01-17 14:22:50,513:INFO:Initializing create_model()
  3134. 2022-01-17 14:22:50,514:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  3135. criterion='gini', max_depth=None, max_features='auto',
  3136. max_leaf_nodes=None, max_samples=None,
  3137. min_impurity_decrease=0.0, min_impurity_split=None,
  3138. min_samples_leaf=1, min_samples_split=2,
  3139. min_weight_fraction_leaf=0.0, n_estimators=100,
  3140. n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
  3141. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  3142. 2022-01-17 14:22:50,514:INFO:Checking exceptions
  3143. 2022-01-17 14:22:50,514:INFO:Importing libraries
  3144. 2022-01-17 14:22:50,514:INFO:Copying training dataset
  3145. 2022-01-17 14:22:50,515:INFO:Defining folds
  3146. 2022-01-17 14:22:50,515:INFO:Declaring metric variables
  3147. 2022-01-17 14:22:50,515:INFO:Importing untrained model
  3148. 2022-01-17 14:22:50,515:INFO:Declaring custom model
  3149. 2022-01-17 14:22:50,516:INFO:Random Forest Classifier Imported succesfully
  3150. 2022-01-17 14:22:50,516:INFO:Cross validation set to False
  3151. 2022-01-17 14:22:50,516:INFO:Fitting Model
  3152. 2022-01-17 14:22:50,801:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  3153. criterion='gini', max_depth=None, max_features='auto',
  3154. max_leaf_nodes=None, max_samples=None,
  3155. min_impurity_decrease=0.0, min_impurity_split=None,
  3156. min_samples_leaf=1, min_samples_split=2,
  3157. min_weight_fraction_leaf=0.0, n_estimators=100,
  3158. n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
  3159. warm_start=False)
  3160. 2022-01-17 14:22:50,801:INFO:create_models() succesfully completed......................................
  3161. 2022-01-17 14:22:50,901:INFO:create_model_container: 14
  3162. 2022-01-17 14:22:50,902:INFO:master_model_container: 14
  3163. 2022-01-17 14:22:50,902:INFO:display_container: 2
  3164. 2022-01-17 14:22:50,902:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  3165. criterion='gini', max_depth=None, max_features='auto',
  3166. max_leaf_nodes=None, max_samples=None,
  3167. min_impurity_decrease=0.0, min_impurity_split=None,
  3168. min_samples_leaf=1, min_samples_split=2,
  3169. min_weight_fraction_leaf=0.0, n_estimators=100,
  3170. n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
  3171. warm_start=False)
  3172. 2022-01-17 14:22:50,902:INFO:compare_models() succesfully completed......................................
  3173. 2022-01-17 14:23:54,486:INFO:Initializing create_model()
  3174. 2022-01-17 14:23:54,486:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  3175. 2022-01-17 14:23:54,487:INFO:Checking exceptions
  3176. 2022-01-17 14:23:54,487:INFO:Preparing display monitor
  3177. 2022-01-17 14:23:54,498:INFO:Importing libraries
  3178. 2022-01-17 14:23:54,498:INFO:Copying training dataset
  3179. 2022-01-17 14:23:54,499:INFO:Defining folds
  3180. 2022-01-17 14:23:54,499:INFO:Declaring metric variables
  3181. 2022-01-17 14:23:54,504:INFO:Importing untrained model
  3182. 2022-01-17 14:23:54,509:INFO:Decision Tree Classifier Imported succesfully
  3183. 2022-01-17 14:23:54,520:INFO:Starting cross validation
  3184. 2022-01-17 14:23:54,520:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3185. 2022-01-17 14:23:54,773:INFO:Calculating mean and std
  3186. 2022-01-17 14:23:54,774:INFO:Creating metrics dataframe
  3187. 2022-01-17 14:23:54,783:INFO:Finalizing model
  3188. 2022-01-17 14:23:54,805:INFO:Uploading results into container
  3189. 2022-01-17 14:23:54,805:INFO:Uploading model into container now
  3190. 2022-01-17 14:23:54,814:INFO:create_model_container: 15
  3191. 2022-01-17 14:23:54,815:INFO:master_model_container: 15
  3192. 2022-01-17 14:23:54,815:INFO:display_container: 3
  3193. 2022-01-17 14:23:54,815:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3194. max_depth=None, max_features=None, max_leaf_nodes=None,
  3195. min_impurity_decrease=0.0, min_impurity_split=None,
  3196. min_samples_leaf=1, min_samples_split=2,
  3197. min_weight_fraction_leaf=0.0, presort='deprecated',
  3198. random_state=4642, splitter='best')
  3199. 2022-01-17 14:23:54,815:INFO:create_model() succesfully completed......................................
  3200. 2022-01-17 14:23:58,352:INFO:Initializing tune_model()
  3201. 2022-01-17 14:23:58,352:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3202. max_depth=None, max_features=None, max_leaf_nodes=None,
  3203. min_impurity_decrease=0.0, min_impurity_split=None,
  3204. min_samples_leaf=1, min_samples_split=2,
  3205. min_weight_fraction_leaf=0.0, presort='deprecated',
  3206. random_state=4642, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  3207. 2022-01-17 14:23:58,353:INFO:Checking exceptions
  3208. 2022-01-17 14:23:58,353:INFO:Preparing display monitor
  3209. 2022-01-17 14:23:58,364:INFO:Copying training dataset
  3210. 2022-01-17 14:23:58,365:INFO:Checking base model
  3211. 2022-01-17 14:23:58,366:INFO:Base model : Decision Tree Classifier
  3212. 2022-01-17 14:23:58,371:INFO:Declaring metric variables
  3213. 2022-01-17 14:23:58,376:INFO:Defining Hyperparameters
  3214. 2022-01-17 14:23:58,454:INFO:Tuning with n_jobs=-1
  3215. 2022-01-17 14:23:58,455:INFO:Initializing RandomizedSearchCV
  3216. 2022-01-17 14:23:59,650:INFO:best_params: {'actual_estimator__min_samples_split': 10, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.001, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 16, 'actual_estimator__criterion': 'entropy'}
  3217. 2022-01-17 14:23:59,651:INFO:Hyperparameter search completed
  3218. 2022-01-17 14:23:59,651:INFO:SubProcess create_model() called ==================================
  3219. 2022-01-17 14:23:59,652:INFO:Initializing create_model()
  3220. 2022-01-17 14:23:59,652:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3221. max_depth=None, max_features=None, max_leaf_nodes=None,
  3222. min_impurity_decrease=0.0, min_impurity_split=None,
  3223. min_samples_leaf=1, min_samples_split=2,
  3224. min_weight_fraction_leaf=0.0, presort='deprecated',
  3225. random_state=4642, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7fd992869d30>, kwargs={'min_samples_split': 10, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.001, 'max_features': 1.0, 'max_depth': 16, 'criterion': 'entropy'})
  3226. 2022-01-17 14:23:59,652:INFO:Checking exceptions
  3227. 2022-01-17 14:23:59,652:INFO:Importing libraries
  3228. 2022-01-17 14:23:59,652:INFO:Copying training dataset
  3229. 2022-01-17 14:23:59,653:INFO:Defining folds
  3230. 2022-01-17 14:23:59,653:INFO:Declaring metric variables
  3231. 2022-01-17 14:23:59,659:INFO:Importing untrained model
  3232. 2022-01-17 14:23:59,659:INFO:Declaring custom model
  3233. 2022-01-17 14:23:59,664:INFO:Decision Tree Classifier Imported succesfully
  3234. 2022-01-17 14:23:59,675:INFO:Starting cross validation
  3235. 2022-01-17 14:23:59,675:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3236. 2022-01-17 14:23:59,872:INFO:Calculating mean and std
  3237. 2022-01-17 14:23:59,873:INFO:Creating metrics dataframe
  3238. 2022-01-17 14:23:59,880:INFO:Finalizing model
  3239. 2022-01-17 14:23:59,895:INFO:Uploading results into container
  3240. 2022-01-17 14:23:59,895:INFO:Uploading model into container now
  3241. 2022-01-17 14:23:59,895:INFO:create_model_container: 16
  3242. 2022-01-17 14:23:59,895:INFO:master_model_container: 16
  3243. 2022-01-17 14:23:59,896:INFO:display_container: 4
  3244. 2022-01-17 14:23:59,896:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  3245. max_depth=16, max_features=1.0, max_leaf_nodes=None,
  3246. min_impurity_decrease=0.001, min_impurity_split=None,
  3247. min_samples_leaf=5, min_samples_split=10,
  3248. min_weight_fraction_leaf=0.0, presort='deprecated',
  3249. random_state=4642, splitter='best')
  3250. 2022-01-17 14:23:59,896:INFO:create_model() succesfully completed......................................
  3251. 2022-01-17 14:23:59,964:INFO:SubProcess create_model() end ==================================
  3252. 2022-01-17 14:23:59,973:INFO:create_model_container: 16
  3253. 2022-01-17 14:23:59,974:INFO:master_model_container: 16
  3254. 2022-01-17 14:23:59,974:INFO:display_container: 4
  3255. 2022-01-17 14:23:59,974:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  3256. max_depth=16, max_features=1.0, max_leaf_nodes=None,
  3257. min_impurity_decrease=0.001, min_impurity_split=None,
  3258. min_samples_leaf=5, min_samples_split=10,
  3259. min_weight_fraction_leaf=0.0, presort='deprecated',
  3260. random_state=4642, splitter='best')
  3261. 2022-01-17 14:23:59,974:INFO:tune_model() succesfully completed......................................
  3262. 2022-01-17 14:24:05,989:INFO:Initializing create_model()
  3263. 2022-01-17 14:24:05,990:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  3264. 2022-01-17 14:24:05,990:INFO:Checking exceptions
  3265. 2022-01-17 14:24:05,990:INFO:Preparing display monitor
  3266. 2022-01-17 14:24:06,002:INFO:Importing libraries
  3267. 2022-01-17 14:24:06,002:INFO:Copying training dataset
  3268. 2022-01-17 14:24:06,003:INFO:Defining folds
  3269. 2022-01-17 14:24:06,003:INFO:Declaring metric variables
  3270. 2022-01-17 14:24:06,008:INFO:Importing untrained model
  3271. 2022-01-17 14:24:06,013:INFO:Decision Tree Classifier Imported succesfully
  3272. 2022-01-17 14:24:06,023:INFO:Starting cross validation
  3273. 2022-01-17 14:24:06,024:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  3274. 2022-01-17 14:24:06,275:INFO:Calculating mean and std
  3275. 2022-01-17 14:24:06,276:INFO:Creating metrics dataframe
  3276. 2022-01-17 14:24:06,283:INFO:Finalizing model
  3277. 2022-01-17 14:24:06,304:INFO:Uploading results into container
  3278. 2022-01-17 14:24:06,305:INFO:Uploading model into container now
  3279. 2022-01-17 14:24:06,315:INFO:create_model_container: 17
  3280. 2022-01-17 14:24:06,315:INFO:master_model_container: 17
  3281. 2022-01-17 14:24:06,315:INFO:display_container: 5
  3282. 2022-01-17 14:24:06,315:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3283. max_depth=None, max_features=None, max_leaf_nodes=None,
  3284. min_impurity_decrease=0.0, min_impurity_split=None,
  3285. min_samples_leaf=1, min_samples_split=2,
  3286. min_weight_fraction_leaf=0.0, presort='deprecated',
  3287. random_state=4642, splitter='best')
  3288. 2022-01-17 14:24:06,316:INFO:create_model() succesfully completed......................................
  3289. 2022-01-17 14:24:09,698:INFO:Initializing evaluate_model()
  3290. 2022-01-17 14:24:09,699:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3291. max_depth=None, max_features=None, max_leaf_nodes=None,
  3292. min_impurity_decrease=0.0, min_impurity_split=None,
  3293. min_samples_leaf=1, min_samples_split=2,
  3294. min_weight_fraction_leaf=0.0, presort='deprecated',
  3295. random_state=4642, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  3296. 2022-01-17 14:24:09,711:INFO:Initializing plot_model()
  3297. 2022-01-17 14:24:09,711:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3298. max_depth=None, max_features=None, max_leaf_nodes=None,
  3299. min_impurity_decrease=0.0, min_impurity_split=None,
  3300. min_samples_leaf=1, min_samples_split=2,
  3301. min_weight_fraction_leaf=0.0, presort='deprecated',
  3302. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  3303. 2022-01-17 14:24:09,712:INFO:Checking exceptions
  3304. 2022-01-17 14:24:09,712:INFO:Preparing display monitor
  3305. 2022-01-17 14:24:09,717:INFO:Preloading libraries
  3306. 2022-01-17 14:24:09,718:INFO:Copying training dataset
  3307. 2022-01-17 14:24:09,718:INFO:Copying test dataset
  3308. 2022-01-17 14:24:09,719:INFO:Plot type: parameter
  3309. 2022-01-17 14:24:09,723:INFO:Visual Rendered Successfully
  3310. 2022-01-17 14:24:09,797:INFO:plot_model() succesfully completed......................................
  3311. 2022-01-17 14:24:11,637:INFO:Initializing plot_model()
  3312. 2022-01-17 14:24:11,637:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3313. max_depth=None, max_features=None, max_leaf_nodes=None,
  3314. min_impurity_decrease=0.0, min_impurity_split=None,
  3315. min_samples_leaf=1, min_samples_split=2,
  3316. min_weight_fraction_leaf=0.0, presort='deprecated',
  3317. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  3318. 2022-01-17 14:24:11,638:INFO:Checking exceptions
  3319. 2022-01-17 14:24:11,638:INFO:Preparing display monitor
  3320. 2022-01-17 14:24:11,642:INFO:Preloading libraries
  3321. 2022-01-17 14:24:11,643:INFO:Copying training dataset
  3322. 2022-01-17 14:24:11,644:INFO:Copying test dataset
  3323. 2022-01-17 14:24:11,644:INFO:Plot type: auc
  3324. 2022-01-17 14:24:11,645:INFO:Initializing get_config()
  3325. 2022-01-17 14:24:11,645:INFO:get_config(variable=prep_pipe)
  3326. 2022-01-17 14:24:11,648:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3327. steps=[('dtypes',
  3328. DataTypes_Auto_infer(categorical_features=[],
  3329. display_types=True, features_todrop=[],
  3330. id_columns=[],
  3331. ml_usecase='classification',
  3332. numerical_features=[], target='label',
  3333. time_features=[])),
  3334. ('imputer',
  3335. Simple_Imputer(categorical_strategy='not_available',
  3336. fill_value_categorical=None,
  3337. fill_value_numerical=None,
  3338. numeric_strate...
  3339. target='label')),
  3340. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3341. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3342. ('dummy', Dummify(target='label')),
  3343. ('fix_perfect', Remove_100(target='label')),
  3344. ('clean_names', Clean_Colum_Names()),
  3345. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3346. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3347. verbose=False)
  3348. 2022-01-17 14:24:11,648:INFO:get_config() succesfully completed......................................
  3349. 2022-01-17 14:24:11,649:INFO:Fitting Model
  3350. 2022-01-17 14:24:11,651:INFO:Scoring test/hold-out set
  3351. 2022-01-17 14:24:11,757:INFO:Visual Rendered Successfully
  3352. 2022-01-17 14:24:11,827:INFO:plot_model() succesfully completed......................................
  3353. 2022-01-17 14:24:13,482:INFO:Initializing plot_model()
  3354. 2022-01-17 14:24:13,483:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3355. max_depth=None, max_features=None, max_leaf_nodes=None,
  3356. min_impurity_decrease=0.0, min_impurity_split=None,
  3357. min_samples_leaf=1, min_samples_split=2,
  3358. min_weight_fraction_leaf=0.0, presort='deprecated',
  3359. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  3360. 2022-01-17 14:24:13,483:INFO:Checking exceptions
  3361. 2022-01-17 14:24:13,484:INFO:Preparing display monitor
  3362. 2022-01-17 14:24:13,487:INFO:Preloading libraries
  3363. 2022-01-17 14:24:13,488:INFO:Copying training dataset
  3364. 2022-01-17 14:24:13,489:INFO:Copying test dataset
  3365. 2022-01-17 14:24:13,489:INFO:Plot type: confusion_matrix
  3366. 2022-01-17 14:24:13,490:INFO:Initializing get_config()
  3367. 2022-01-17 14:24:13,490:INFO:get_config(variable=prep_pipe)
  3368. 2022-01-17 14:24:13,493:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3369. steps=[('dtypes',
  3370. DataTypes_Auto_infer(categorical_features=[],
  3371. display_types=True, features_todrop=[],
  3372. id_columns=[],
  3373. ml_usecase='classification',
  3374. numerical_features=[], target='label',
  3375. time_features=[])),
  3376. ('imputer',
  3377. Simple_Imputer(categorical_strategy='not_available',
  3378. fill_value_categorical=None,
  3379. fill_value_numerical=None,
  3380. numeric_strate...
  3381. target='label')),
  3382. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3383. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3384. ('dummy', Dummify(target='label')),
  3385. ('fix_perfect', Remove_100(target='label')),
  3386. ('clean_names', Clean_Colum_Names()),
  3387. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3388. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3389. verbose=False)
  3390. 2022-01-17 14:24:13,493:INFO:get_config() succesfully completed......................................
  3391. 2022-01-17 14:24:13,494:INFO:Fitting Model
  3392. 2022-01-17 14:24:13,495:INFO:Scoring test/hold-out set
  3393. 2022-01-17 14:24:13,566:INFO:Visual Rendered Successfully
  3394. 2022-01-17 14:24:13,637:INFO:plot_model() succesfully completed......................................
  3395. 2022-01-17 14:24:20,670:INFO:Initializing plot_model()
  3396. 2022-01-17 14:24:20,670:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3397. max_depth=None, max_features=None, max_leaf_nodes=None,
  3398. min_impurity_decrease=0.0, min_impurity_split=None,
  3399. min_samples_leaf=1, min_samples_split=2,
  3400. min_weight_fraction_leaf=0.0, presort='deprecated',
  3401. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  3402. 2022-01-17 14:24:20,670:INFO:Checking exceptions
  3403. 2022-01-17 14:24:20,671:INFO:Preparing display monitor
  3404. 2022-01-17 14:24:20,675:INFO:Preloading libraries
  3405. 2022-01-17 14:24:20,676:INFO:Copying training dataset
  3406. 2022-01-17 14:24:20,676:INFO:Copying test dataset
  3407. 2022-01-17 14:24:20,676:INFO:Plot type: threshold
  3408. 2022-01-17 14:24:20,678:INFO:Fitting Model
  3409. 2022-01-17 14:24:21,766:INFO:Scoring test/hold-out set
  3410. 2022-01-17 14:24:21,929:INFO:Visual Rendered Successfully
  3411. 2022-01-17 14:24:21,996:INFO:plot_model() succesfully completed......................................
  3412. 2022-01-17 14:24:24,082:INFO:Initializing plot_model()
  3413. 2022-01-17 14:24:24,082:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3414. max_depth=None, max_features=None, max_leaf_nodes=None,
  3415. min_impurity_decrease=0.0, min_impurity_split=None,
  3416. min_samples_leaf=1, min_samples_split=2,
  3417. min_weight_fraction_leaf=0.0, presort='deprecated',
  3418. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  3419. 2022-01-17 14:24:24,082:INFO:Checking exceptions
  3420. 2022-01-17 14:24:24,083:INFO:Preparing display monitor
  3421. 2022-01-17 14:24:24,087:INFO:Preloading libraries
  3422. 2022-01-17 14:24:24,087:INFO:Copying training dataset
  3423. 2022-01-17 14:24:24,088:INFO:Copying test dataset
  3424. 2022-01-17 14:24:24,088:INFO:Plot type: pr
  3425. 2022-01-17 14:24:24,089:INFO:Fitting Model
  3426. 2022-01-17 14:24:24,090:INFO:Scoring test/hold-out set
  3427. 2022-01-17 14:24:24,183:INFO:Visual Rendered Successfully
  3428. 2022-01-17 14:24:24,248:INFO:plot_model() succesfully completed......................................
  3429. 2022-01-17 14:24:31,421:INFO:Initializing plot_model()
  3430. 2022-01-17 14:24:31,422:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3431. max_depth=None, max_features=None, max_leaf_nodes=None,
  3432. min_impurity_decrease=0.0, min_impurity_split=None,
  3433. min_samples_leaf=1, min_samples_split=2,
  3434. min_weight_fraction_leaf=0.0, presort='deprecated',
  3435. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  3436. 2022-01-17 14:24:31,422:INFO:Checking exceptions
  3437. 2022-01-17 14:24:31,423:INFO:Preparing display monitor
  3438. 2022-01-17 14:24:31,427:INFO:Preloading libraries
  3439. 2022-01-17 14:24:31,428:INFO:Copying training dataset
  3440. 2022-01-17 14:24:31,428:INFO:Copying test dataset
  3441. 2022-01-17 14:24:31,429:INFO:Plot type: error
  3442. 2022-01-17 14:24:31,430:INFO:Initializing get_config()
  3443. 2022-01-17 14:24:31,430:INFO:get_config(variable=prep_pipe)
  3444. 2022-01-17 14:24:31,433:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3445. steps=[('dtypes',
  3446. DataTypes_Auto_infer(categorical_features=[],
  3447. display_types=True, features_todrop=[],
  3448. id_columns=[],
  3449. ml_usecase='classification',
  3450. numerical_features=[], target='label',
  3451. time_features=[])),
  3452. ('imputer',
  3453. Simple_Imputer(categorical_strategy='not_available',
  3454. fill_value_categorical=None,
  3455. fill_value_numerical=None,
  3456. numeric_strate...
  3457. target='label')),
  3458. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3459. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3460. ('dummy', Dummify(target='label')),
  3461. ('fix_perfect', Remove_100(target='label')),
  3462. ('clean_names', Clean_Colum_Names()),
  3463. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3464. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3465. verbose=False)
  3466. 2022-01-17 14:24:31,433:INFO:get_config() succesfully completed......................................
  3467. 2022-01-17 14:24:31,434:INFO:Fitting Model
  3468. 2022-01-17 14:24:31,435:INFO:Scoring test/hold-out set
  3469. 2022-01-17 14:24:31,520:INFO:Visual Rendered Successfully
  3470. 2022-01-17 14:24:31,593:INFO:plot_model() succesfully completed......................................
  3471. 2022-01-17 14:24:37,681:INFO:Initializing plot_model()
  3472. 2022-01-17 14:24:37,681:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3473. max_depth=None, max_features=None, max_leaf_nodes=None,
  3474. min_impurity_decrease=0.0, min_impurity_split=None,
  3475. min_samples_leaf=1, min_samples_split=2,
  3476. min_weight_fraction_leaf=0.0, presort='deprecated',
  3477. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  3478. 2022-01-17 14:24:37,682:INFO:Checking exceptions
  3479. 2022-01-17 14:24:37,682:INFO:Preparing display monitor
  3480. 2022-01-17 14:24:37,686:INFO:Preloading libraries
  3481. 2022-01-17 14:24:37,687:INFO:Copying training dataset
  3482. 2022-01-17 14:24:37,687:INFO:Copying test dataset
  3483. 2022-01-17 14:24:37,688:INFO:Plot type: class_report
  3484. 2022-01-17 14:24:37,688:INFO:Initializing get_config()
  3485. 2022-01-17 14:24:37,689:INFO:get_config(variable=prep_pipe)
  3486. 2022-01-17 14:24:37,692:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3487. steps=[('dtypes',
  3488. DataTypes_Auto_infer(categorical_features=[],
  3489. display_types=True, features_todrop=[],
  3490. id_columns=[],
  3491. ml_usecase='classification',
  3492. numerical_features=[], target='label',
  3493. time_features=[])),
  3494. ('imputer',
  3495. Simple_Imputer(categorical_strategy='not_available',
  3496. fill_value_categorical=None,
  3497. fill_value_numerical=None,
  3498. numeric_strate...
  3499. target='label')),
  3500. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3501. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3502. ('dummy', Dummify(target='label')),
  3503. ('fix_perfect', Remove_100(target='label')),
  3504. ('clean_names', Clean_Colum_Names()),
  3505. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3506. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3507. verbose=False)
  3508. 2022-01-17 14:24:37,692:INFO:get_config() succesfully completed......................................
  3509. 2022-01-17 14:24:37,692:INFO:Fitting Model
  3510. 2022-01-17 14:24:37,693:INFO:Scoring test/hold-out set
  3511. 2022-01-17 14:24:37,806:INFO:Visual Rendered Successfully
  3512. 2022-01-17 14:24:37,875:INFO:plot_model() succesfully completed......................................
  3513. 2022-01-17 14:25:49,619:INFO:Initializing plot_model()
  3514. 2022-01-17 14:25:49,619:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3515. max_depth=None, max_features=None, max_leaf_nodes=None,
  3516. min_impurity_decrease=0.0, min_impurity_split=None,
  3517. min_samples_leaf=1, min_samples_split=2,
  3518. min_weight_fraction_leaf=0.0, presort='deprecated',
  3519. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=learning, plot_kwargs={}, save=False, scale=1, system=True)
  3520. 2022-01-17 14:25:49,619:INFO:Checking exceptions
  3521. 2022-01-17 14:25:49,620:INFO:Preparing display monitor
  3522. 2022-01-17 14:25:49,624:INFO:Preloading libraries
  3523. 2022-01-17 14:25:49,625:INFO:Copying training dataset
  3524. 2022-01-17 14:25:49,625:INFO:Copying test dataset
  3525. 2022-01-17 14:25:49,626:INFO:Plot type: learning
  3526. 2022-01-17 14:25:49,628:INFO:Fitting Model
  3527. 2022-01-17 14:25:51,324:INFO:Visual Rendered Successfully
  3528. 2022-01-17 14:25:51,399:INFO:plot_model() succesfully completed......................................
  3529. 2022-01-17 14:26:06,504:INFO:Initializing plot_model()
  3530. 2022-01-17 14:26:06,504:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3531. max_depth=None, max_features=None, max_leaf_nodes=None,
  3532. min_impurity_decrease=0.0, min_impurity_split=None,
  3533. min_samples_leaf=1, min_samples_split=2,
  3534. min_weight_fraction_leaf=0.0, presort='deprecated',
  3535. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  3536. 2022-01-17 14:26:06,504:INFO:Checking exceptions
  3537. 2022-01-17 14:26:06,505:INFO:Preparing display monitor
  3538. 2022-01-17 14:26:06,509:INFO:Preloading libraries
  3539. 2022-01-17 14:26:06,509:INFO:Copying training dataset
  3540. 2022-01-17 14:26:06,510:INFO:Copying test dataset
  3541. 2022-01-17 14:26:06,511:INFO:Plot type: feature
  3542. 2022-01-17 14:26:06,511:WARNING:No coef_ found. Trying feature_importances_
  3543. 2022-01-17 14:26:06,589:INFO:Visual Rendered Successfully
  3544. 2022-01-17 14:26:06,663:INFO:plot_model() succesfully completed......................................
  3545. 2022-01-17 14:26:08,431:INFO:Initializing plot_model()
  3546. 2022-01-17 14:26:08,431:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3547. max_depth=None, max_features=None, max_leaf_nodes=None,
  3548. min_impurity_decrease=0.0, min_impurity_split=None,
  3549. min_samples_leaf=1, min_samples_split=2,
  3550. min_weight_fraction_leaf=0.0, presort='deprecated',
  3551. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  3552. 2022-01-17 14:26:08,432:INFO:Checking exceptions
  3553. 2022-01-17 14:26:08,432:INFO:Preparing display monitor
  3554. 2022-01-17 14:26:08,436:INFO:Preloading libraries
  3555. 2022-01-17 14:26:08,437:INFO:Copying training dataset
  3556. 2022-01-17 14:26:08,437:INFO:Copying test dataset
  3557. 2022-01-17 14:26:08,438:INFO:Plot type: feature_all
  3558. 2022-01-17 14:26:08,438:WARNING:No coef_ found. Trying feature_importances_
  3559. 2022-01-17 14:26:08,609:INFO:Visual Rendered Successfully
  3560. 2022-01-17 14:26:08,687:INFO:plot_model() succesfully completed......................................
  3561. 2022-01-17 14:26:39,249:INFO:Initializing plot_model()
  3562. 2022-01-17 14:26:39,249:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3563. max_depth=None, max_features=None, max_leaf_nodes=None,
  3564. min_impurity_decrease=0.0, min_impurity_split=None,
  3565. min_samples_leaf=1, min_samples_split=2,
  3566. min_weight_fraction_leaf=0.0, presort='deprecated',
  3567. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
  3568. 2022-01-17 14:26:39,250:INFO:Checking exceptions
  3569. 2022-01-17 14:26:39,250:INFO:Preparing display monitor
  3570. 2022-01-17 14:26:39,254:INFO:Preloading libraries
  3571. 2022-01-17 14:26:39,255:INFO:Copying training dataset
  3572. 2022-01-17 14:26:39,256:INFO:Copying test dataset
  3573. 2022-01-17 14:26:39,256:INFO:Plot type: boundary
  3574. 2022-01-17 14:26:39,259:INFO:Fitting StandardScaler()
  3575. 2022-01-17 14:26:39,268:INFO:Fitting PCA()
  3576. 2022-01-17 14:26:39,349:INFO:Initializing get_config()
  3577. 2022-01-17 14:26:39,350:INFO:get_config(variable=prep_pipe)
  3578. 2022-01-17 14:26:39,355:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3579. steps=[('dtypes',
  3580. DataTypes_Auto_infer(categorical_features=[],
  3581. display_types=True, features_todrop=[],
  3582. id_columns=[],
  3583. ml_usecase='classification',
  3584. numerical_features=[], target='label',
  3585. time_features=[])),
  3586. ('imputer',
  3587. Simple_Imputer(categorical_strategy='not_available',
  3588. fill_value_categorical=None,
  3589. fill_value_numerical=None,
  3590. numeric_strate...
  3591. target='label')),
  3592. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3593. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3594. ('dummy', Dummify(target='label')),
  3595. ('fix_perfect', Remove_100(target='label')),
  3596. ('clean_names', Clean_Colum_Names()),
  3597. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3598. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3599. verbose=False)
  3600. 2022-01-17 14:26:39,360:INFO:get_config() succesfully completed......................................
  3601. 2022-01-17 14:26:39,361:INFO:Fitting Model
  3602. 2022-01-17 14:26:40,158:INFO:Visual Rendered Successfully
  3603. 2022-01-17 14:26:40,263:INFO:plot_model() succesfully completed......................................
  3604. 2022-01-17 14:26:43,961:INFO:Initializing plot_model()
  3605. 2022-01-17 14:26:43,961:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3606. max_depth=None, max_features=None, max_leaf_nodes=None,
  3607. min_impurity_decrease=0.0, min_impurity_split=None,
  3608. min_samples_leaf=1, min_samples_split=2,
  3609. min_weight_fraction_leaf=0.0, presort='deprecated',
  3610. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  3611. 2022-01-17 14:26:43,961:INFO:Checking exceptions
  3612. 2022-01-17 14:26:43,962:INFO:Preparing display monitor
  3613. 2022-01-17 14:26:43,966:INFO:Preloading libraries
  3614. 2022-01-17 14:26:43,967:INFO:Copying training dataset
  3615. 2022-01-17 14:26:43,968:INFO:Copying test dataset
  3616. 2022-01-17 14:26:43,968:INFO:Plot type: lift
  3617. 2022-01-17 14:26:43,969:INFO:Generating predictions / predict_proba on X_test
  3618. 2022-01-17 14:26:44,060:INFO:Visual Rendered Successfully
  3619. 2022-01-17 14:26:44,134:INFO:plot_model() succesfully completed......................................
  3620. 2022-01-17 14:26:50,029:INFO:Initializing plot_model()
  3621. 2022-01-17 14:26:50,029:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3622. max_depth=None, max_features=None, max_leaf_nodes=None,
  3623. min_impurity_decrease=0.0, min_impurity_split=None,
  3624. min_samples_leaf=1, min_samples_split=2,
  3625. min_weight_fraction_leaf=0.0, presort='deprecated',
  3626. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
  3627. 2022-01-17 14:26:50,030:INFO:Checking exceptions
  3628. 2022-01-17 14:26:50,030:INFO:Preparing display monitor
  3629. 2022-01-17 14:26:50,034:INFO:Preloading libraries
  3630. 2022-01-17 14:26:50,035:INFO:Copying training dataset
  3631. 2022-01-17 14:26:50,035:INFO:Copying test dataset
  3632. 2022-01-17 14:26:50,036:INFO:Plot type: ks
  3633. 2022-01-17 14:26:50,037:INFO:Generating predictions / predict_proba on X_test
  3634. 2022-01-17 14:26:50,141:INFO:Visual Rendered Successfully
  3635. 2022-01-17 14:26:50,216:INFO:plot_model() succesfully completed......................................
  3636. 2022-01-17 14:26:54,074:INFO:Initializing plot_model()
  3637. 2022-01-17 14:26:54,075:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3638. max_depth=None, max_features=None, max_leaf_nodes=None,
  3639. min_impurity_decrease=0.0, min_impurity_split=None,
  3640. min_samples_leaf=1, min_samples_split=2,
  3641. min_weight_fraction_leaf=0.0, presort='deprecated',
  3642. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  3643. 2022-01-17 14:26:54,075:INFO:Checking exceptions
  3644. 2022-01-17 14:26:54,076:INFO:Preparing display monitor
  3645. 2022-01-17 14:26:54,079:INFO:Preloading libraries
  3646. 2022-01-17 14:26:54,080:INFO:Copying training dataset
  3647. 2022-01-17 14:26:54,081:INFO:Copying test dataset
  3648. 2022-01-17 14:26:54,081:INFO:Plot type: tree
  3649. 2022-01-17 14:26:54,091:INFO:Plotting decision trees
  3650. 2022-01-17 14:26:54,092:INFO:Plotting tree 0
  3651. 2022-01-17 14:27:09,443:INFO:Visual Rendered Successfully
  3652. 2022-01-17 14:27:09,530:INFO:plot_model() succesfully completed......................................
  3653. 2022-01-17 14:27:09,544:INFO:Initializing plot_model()
  3654. 2022-01-17 14:27:09,544:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3655. max_depth=None, max_features=None, max_leaf_nodes=None,
  3656. min_impurity_decrease=0.0, min_impurity_split=None,
  3657. min_samples_leaf=1, min_samples_split=2,
  3658. min_weight_fraction_leaf=0.0, presort='deprecated',
  3659. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
  3660. 2022-01-17 14:27:09,544:INFO:Checking exceptions
  3661. 2022-01-17 14:27:09,545:INFO:Preparing display monitor
  3662. 2022-01-17 14:27:09,549:INFO:Preloading libraries
  3663. 2022-01-17 14:27:09,550:INFO:Copying training dataset
  3664. 2022-01-17 14:27:09,550:INFO:Copying test dataset
  3665. 2022-01-17 14:27:09,550:INFO:Plot type: boundary
  3666. 2022-01-17 14:27:09,553:INFO:Fitting StandardScaler()
  3667. 2022-01-17 14:27:09,561:INFO:Fitting PCA()
  3668. 2022-01-17 14:27:09,602:INFO:Initializing get_config()
  3669. 2022-01-17 14:27:09,602:INFO:get_config(variable=prep_pipe)
  3670. 2022-01-17 14:27:09,607:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3671. steps=[('dtypes',
  3672. DataTypes_Auto_infer(categorical_features=[],
  3673. display_types=True, features_todrop=[],
  3674. id_columns=[],
  3675. ml_usecase='classification',
  3676. numerical_features=[], target='label',
  3677. time_features=[])),
  3678. ('imputer',
  3679. Simple_Imputer(categorical_strategy='not_available',
  3680. fill_value_categorical=None,
  3681. fill_value_numerical=None,
  3682. numeric_strate...
  3683. target='label')),
  3684. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3685. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3686. ('dummy', Dummify(target='label')),
  3687. ('fix_perfect', Remove_100(target='label')),
  3688. ('clean_names', Clean_Colum_Names()),
  3689. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3690. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3691. verbose=False)
  3692. 2022-01-17 14:27:09,607:INFO:get_config() succesfully completed......................................
  3693. 2022-01-17 14:27:09,608:INFO:Fitting Model
  3694. 2022-01-17 14:27:10,407:INFO:Visual Rendered Successfully
  3695. 2022-01-17 14:27:10,518:INFO:plot_model() succesfully completed......................................
  3696. 2022-01-17 14:27:11,486:INFO:Initializing plot_model()
  3697. 2022-01-17 14:27:11,486:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3698. max_depth=None, max_features=None, max_leaf_nodes=None,
  3699. min_impurity_decrease=0.0, min_impurity_split=None,
  3700. min_samples_leaf=1, min_samples_split=2,
  3701. min_weight_fraction_leaf=0.0, presort='deprecated',
  3702. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  3703. 2022-01-17 14:27:11,486:INFO:Checking exceptions
  3704. 2022-01-17 14:27:11,487:INFO:Preparing display monitor
  3705. 2022-01-17 14:27:11,491:INFO:Preloading libraries
  3706. 2022-01-17 14:27:11,491:INFO:Copying training dataset
  3707. 2022-01-17 14:27:11,492:INFO:Copying test dataset
  3708. 2022-01-17 14:27:11,492:INFO:Plot type: tree
  3709. 2022-01-17 14:27:11,503:INFO:Plotting decision trees
  3710. 2022-01-17 14:27:11,503:INFO:Plotting tree 0
  3711. 2022-01-17 14:27:26,819:INFO:Visual Rendered Successfully
  3712. 2022-01-17 14:27:26,898:INFO:plot_model() succesfully completed......................................
  3713. 2022-01-17 14:39:43,027:INFO:Initializing plot_model()
  3714. 2022-01-17 14:39:43,027:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3715. max_depth=None, max_features=None, max_leaf_nodes=None,
  3716. min_impurity_decrease=0.0, min_impurity_split=None,
  3717. min_samples_leaf=1, min_samples_split=2,
  3718. min_weight_fraction_leaf=0.0, presort='deprecated',
  3719. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  3720. 2022-01-17 14:39:43,027:INFO:Checking exceptions
  3721. 2022-01-17 14:39:43,028:INFO:Preparing display monitor
  3722. 2022-01-17 14:39:43,032:INFO:Preloading libraries
  3723. 2022-01-17 14:39:43,033:INFO:Copying training dataset
  3724. 2022-01-17 14:39:43,034:INFO:Copying test dataset
  3725. 2022-01-17 14:39:43,034:INFO:Plot type: confusion_matrix
  3726. 2022-01-17 14:39:43,035:INFO:Initializing get_config()
  3727. 2022-01-17 14:39:43,035:INFO:get_config(variable=prep_pipe)
  3728. 2022-01-17 14:39:43,038:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3729. steps=[('dtypes',
  3730. DataTypes_Auto_infer(categorical_features=[],
  3731. display_types=True, features_todrop=[],
  3732. id_columns=[],
  3733. ml_usecase='classification',
  3734. numerical_features=[], target='label',
  3735. time_features=[])),
  3736. ('imputer',
  3737. Simple_Imputer(categorical_strategy='not_available',
  3738. fill_value_categorical=None,
  3739. fill_value_numerical=None,
  3740. numeric_strate...
  3741. target='label')),
  3742. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3743. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3744. ('dummy', Dummify(target='label')),
  3745. ('fix_perfect', Remove_100(target='label')),
  3746. ('clean_names', Clean_Colum_Names()),
  3747. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3748. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3749. verbose=False)
  3750. 2022-01-17 14:39:43,038:INFO:get_config() succesfully completed......................................
  3751. 2022-01-17 14:39:43,039:INFO:Fitting Model
  3752. 2022-01-17 14:39:43,040:INFO:Scoring test/hold-out set
  3753. 2022-01-17 14:39:43,111:INFO:Visual Rendered Successfully
  3754. 2022-01-17 14:39:43,193:INFO:plot_model() succesfully completed......................................
  3755. 2022-01-17 14:42:54,885:INFO:Initializing plot_model()
  3756. 2022-01-17 14:42:54,886:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3757. max_depth=None, max_features=None, max_leaf_nodes=None,
  3758. min_impurity_decrease=0.0, min_impurity_split=None,
  3759. min_samples_leaf=1, min_samples_split=2,
  3760. min_weight_fraction_leaf=0.0, presort='deprecated',
  3761. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  3762. 2022-01-17 14:42:54,886:INFO:Checking exceptions
  3763. 2022-01-17 14:42:54,887:INFO:Preparing display monitor
  3764. 2022-01-17 14:42:54,890:INFO:Preloading libraries
  3765. 2022-01-17 14:42:54,891:INFO:Copying training dataset
  3766. 2022-01-17 14:42:54,892:INFO:Copying test dataset
  3767. 2022-01-17 14:42:54,892:INFO:Plot type: class_report
  3768. 2022-01-17 14:42:54,893:INFO:Initializing get_config()
  3769. 2022-01-17 14:42:54,893:INFO:get_config(variable=prep_pipe)
  3770. 2022-01-17 14:42:54,896:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3771. steps=[('dtypes',
  3772. DataTypes_Auto_infer(categorical_features=[],
  3773. display_types=True, features_todrop=[],
  3774. id_columns=[],
  3775. ml_usecase='classification',
  3776. numerical_features=[], target='label',
  3777. time_features=[])),
  3778. ('imputer',
  3779. Simple_Imputer(categorical_strategy='not_available',
  3780. fill_value_categorical=None,
  3781. fill_value_numerical=None,
  3782. numeric_strate...
  3783. target='label')),
  3784. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3785. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3786. ('dummy', Dummify(target='label')),
  3787. ('fix_perfect', Remove_100(target='label')),
  3788. ('clean_names', Clean_Colum_Names()),
  3789. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3790. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3791. verbose=False)
  3792. 2022-01-17 14:42:54,896:INFO:get_config() succesfully completed......................................
  3793. 2022-01-17 14:42:54,897:INFO:Fitting Model
  3794. 2022-01-17 14:42:54,897:INFO:Scoring test/hold-out set
  3795. 2022-01-17 14:42:55,006:INFO:Visual Rendered Successfully
  3796. 2022-01-17 14:42:55,073:INFO:plot_model() succesfully completed......................................
  3797. 2022-01-17 14:52:11,844:INFO:Initializing plot_model()
  3798. 2022-01-17 14:52:11,844:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3799. max_depth=None, max_features=None, max_leaf_nodes=None,
  3800. min_impurity_decrease=0.0, min_impurity_split=None,
  3801. min_samples_leaf=1, min_samples_split=2,
  3802. min_weight_fraction_leaf=0.0, presort='deprecated',
  3803. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  3804. 2022-01-17 14:52:11,844:INFO:Checking exceptions
  3805. 2022-01-17 14:52:11,845:INFO:Preparing display monitor
  3806. 2022-01-17 14:52:11,849:INFO:Preloading libraries
  3807. 2022-01-17 14:52:11,850:INFO:Copying training dataset
  3808. 2022-01-17 14:52:11,851:INFO:Copying test dataset
  3809. 2022-01-17 14:52:11,851:INFO:Plot type: feature
  3810. 2022-01-17 14:52:11,852:WARNING:No coef_ found. Trying feature_importances_
  3811. 2022-01-17 14:52:11,925:INFO:Visual Rendered Successfully
  3812. 2022-01-17 14:52:12,001:INFO:plot_model() succesfully completed......................................
  3813. 2022-01-17 15:25:30,496:INFO:Initializing plot_model()
  3814. 2022-01-17 15:25:30,496:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3815. max_depth=None, max_features=None, max_leaf_nodes=None,
  3816. min_impurity_decrease=0.0, min_impurity_split=None,
  3817. min_samples_leaf=1, min_samples_split=2,
  3818. min_weight_fraction_leaf=0.0, presort='deprecated',
  3819. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  3820. 2022-01-17 15:25:30,496:INFO:Checking exceptions
  3821. 2022-01-17 15:25:30,497:INFO:Preparing display monitor
  3822. 2022-01-17 15:25:30,501:INFO:Preloading libraries
  3823. 2022-01-17 15:25:30,502:INFO:Copying training dataset
  3824. 2022-01-17 15:25:30,502:INFO:Copying test dataset
  3825. 2022-01-17 15:25:30,502:INFO:Plot type: parameter
  3826. 2022-01-17 15:25:30,506:INFO:Visual Rendered Successfully
  3827. 2022-01-17 15:25:30,583:INFO:plot_model() succesfully completed......................................
  3828. 2022-01-17 15:25:38,490:INFO:Initializing plot_model()
  3829. 2022-01-17 15:25:38,491:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3830. max_depth=None, max_features=None, max_leaf_nodes=None,
  3831. min_impurity_decrease=0.0, min_impurity_split=None,
  3832. min_samples_leaf=1, min_samples_split=2,
  3833. min_weight_fraction_leaf=0.0, presort='deprecated',
  3834. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  3835. 2022-01-17 15:25:38,491:INFO:Checking exceptions
  3836. 2022-01-17 15:25:38,492:INFO:Preparing display monitor
  3837. 2022-01-17 15:25:38,495:INFO:Preloading libraries
  3838. 2022-01-17 15:25:38,496:INFO:Copying training dataset
  3839. 2022-01-17 15:25:38,497:INFO:Copying test dataset
  3840. 2022-01-17 15:25:38,497:INFO:Plot type: feature
  3841. 2022-01-17 15:25:38,498:WARNING:No coef_ found. Trying feature_importances_
  3842. 2022-01-17 15:25:38,574:INFO:Visual Rendered Successfully
  3843. 2022-01-17 15:25:38,652:INFO:plot_model() succesfully completed......................................
  3844. 2022-01-17 15:25:42,961:INFO:Initializing plot_model()
  3845. 2022-01-17 15:25:42,962:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3846. max_depth=None, max_features=None, max_leaf_nodes=None,
  3847. min_impurity_decrease=0.0, min_impurity_split=None,
  3848. min_samples_leaf=1, min_samples_split=2,
  3849. min_weight_fraction_leaf=0.0, presort='deprecated',
  3850. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  3851. 2022-01-17 15:25:42,962:INFO:Checking exceptions
  3852. 2022-01-17 15:25:42,963:INFO:Preparing display monitor
  3853. 2022-01-17 15:25:42,966:INFO:Preloading libraries
  3854. 2022-01-17 15:25:42,967:INFO:Copying training dataset
  3855. 2022-01-17 15:25:42,967:INFO:Copying test dataset
  3856. 2022-01-17 15:25:42,968:INFO:Plot type: feature_all
  3857. 2022-01-17 15:25:42,969:WARNING:No coef_ found. Trying feature_importances_
  3858. 2022-01-17 15:25:43,129:INFO:Visual Rendered Successfully
  3859. 2022-01-17 15:25:43,205:INFO:plot_model() succesfully completed......................................
  3860. 2022-01-17 15:34:27,571:INFO:Initializing plot_model()
  3861. 2022-01-17 15:34:27,571:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3862. max_depth=None, max_features=None, max_leaf_nodes=None,
  3863. min_impurity_decrease=0.0, min_impurity_split=None,
  3864. min_samples_leaf=1, min_samples_split=2,
  3865. min_weight_fraction_leaf=0.0, presort='deprecated',
  3866. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  3867. 2022-01-17 15:34:27,572:INFO:Checking exceptions
  3868. 2022-01-17 15:34:27,572:INFO:Preparing display monitor
  3869. 2022-01-17 15:34:27,576:INFO:Preloading libraries
  3870. 2022-01-17 15:34:27,577:INFO:Copying training dataset
  3871. 2022-01-17 15:34:27,577:INFO:Copying test dataset
  3872. 2022-01-17 15:34:27,578:INFO:Plot type: confusion_matrix
  3873. 2022-01-17 15:34:27,578:INFO:Initializing get_config()
  3874. 2022-01-17 15:34:27,579:INFO:get_config(variable=prep_pipe)
  3875. 2022-01-17 15:34:27,581:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3876. steps=[('dtypes',
  3877. DataTypes_Auto_infer(categorical_features=[],
  3878. display_types=True, features_todrop=[],
  3879. id_columns=[],
  3880. ml_usecase='classification',
  3881. numerical_features=[], target='label',
  3882. time_features=[])),
  3883. ('imputer',
  3884. Simple_Imputer(categorical_strategy='not_available',
  3885. fill_value_categorical=None,
  3886. fill_value_numerical=None,
  3887. numeric_strate...
  3888. target='label')),
  3889. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3890. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3891. ('dummy', Dummify(target='label')),
  3892. ('fix_perfect', Remove_100(target='label')),
  3893. ('clean_names', Clean_Colum_Names()),
  3894. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3895. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3896. verbose=False)
  3897. 2022-01-17 15:34:27,582:INFO:get_config() succesfully completed......................................
  3898. 2022-01-17 15:34:27,582:INFO:Fitting Model
  3899. 2022-01-17 15:34:27,583:INFO:Scoring test/hold-out set
  3900. 2022-01-17 15:34:27,648:INFO:Visual Rendered Successfully
  3901. 2022-01-17 15:34:27,724:INFO:plot_model() succesfully completed......................................
  3902. 2022-01-17 15:34:53,720:INFO:Initializing plot_model()
  3903. 2022-01-17 15:34:53,720:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3904. max_depth=None, max_features=None, max_leaf_nodes=None,
  3905. min_impurity_decrease=0.0, min_impurity_split=None,
  3906. min_samples_leaf=1, min_samples_split=2,
  3907. min_weight_fraction_leaf=0.0, presort='deprecated',
  3908. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  3909. 2022-01-17 15:34:53,720:INFO:Checking exceptions
  3910. 2022-01-17 15:34:53,721:INFO:Preparing display monitor
  3911. 2022-01-17 15:34:53,724:INFO:Preloading libraries
  3912. 2022-01-17 15:34:53,725:INFO:Copying training dataset
  3913. 2022-01-17 15:34:53,726:INFO:Copying test dataset
  3914. 2022-01-17 15:34:53,726:INFO:Plot type: pr
  3915. 2022-01-17 15:34:53,727:INFO:Fitting Model
  3916. 2022-01-17 15:34:53,728:INFO:Scoring test/hold-out set
  3917. 2022-01-17 15:34:53,808:INFO:Visual Rendered Successfully
  3918. 2022-01-17 15:34:53,880:INFO:plot_model() succesfully completed......................................
  3919. 2022-01-17 15:34:57,619:INFO:Initializing plot_model()
  3920. 2022-01-17 15:34:57,619:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3921. max_depth=None, max_features=None, max_leaf_nodes=None,
  3922. min_impurity_decrease=0.0, min_impurity_split=None,
  3923. min_samples_leaf=1, min_samples_split=2,
  3924. min_weight_fraction_leaf=0.0, presort='deprecated',
  3925. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  3926. 2022-01-17 15:34:57,619:INFO:Checking exceptions
  3927. 2022-01-17 15:34:57,620:INFO:Preparing display monitor
  3928. 2022-01-17 15:34:57,624:INFO:Preloading libraries
  3929. 2022-01-17 15:34:57,625:INFO:Copying training dataset
  3930. 2022-01-17 15:34:57,626:INFO:Copying test dataset
  3931. 2022-01-17 15:34:57,626:INFO:Plot type: auc
  3932. 2022-01-17 15:34:57,627:INFO:Initializing get_config()
  3933. 2022-01-17 15:34:57,627:INFO:get_config(variable=prep_pipe)
  3934. 2022-01-17 15:34:57,630:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  3935. steps=[('dtypes',
  3936. DataTypes_Auto_infer(categorical_features=[],
  3937. display_types=True, features_todrop=[],
  3938. id_columns=[],
  3939. ml_usecase='classification',
  3940. numerical_features=[], target='label',
  3941. time_features=[])),
  3942. ('imputer',
  3943. Simple_Imputer(categorical_strategy='not_available',
  3944. fill_value_categorical=None,
  3945. fill_value_numerical=None,
  3946. numeric_strate...
  3947. target='label')),
  3948. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  3949. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  3950. ('dummy', Dummify(target='label')),
  3951. ('fix_perfect', Remove_100(target='label')),
  3952. ('clean_names', Clean_Colum_Names()),
  3953. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  3954. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  3955. verbose=False)
  3956. 2022-01-17 15:34:57,630:INFO:get_config() succesfully completed......................................
  3957. 2022-01-17 15:34:57,631:INFO:Fitting Model
  3958. 2022-01-17 15:34:57,632:INFO:Scoring test/hold-out set
  3959. 2022-01-17 15:34:57,724:INFO:Visual Rendered Successfully
  3960. 2022-01-17 15:34:57,795:INFO:plot_model() succesfully completed......................................
  3961. 2022-01-17 15:35:41,997:INFO:Initializing plot_model()
  3962. 2022-01-17 15:35:41,997:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3963. max_depth=None, max_features=None, max_leaf_nodes=None,
  3964. min_impurity_decrease=0.0, min_impurity_split=None,
  3965. min_samples_leaf=1, min_samples_split=2,
  3966. min_weight_fraction_leaf=0.0, presort='deprecated',
  3967. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  3968. 2022-01-17 15:35:41,997:INFO:Checking exceptions
  3969. 2022-01-17 15:35:41,998:INFO:Preparing display monitor
  3970. 2022-01-17 15:35:42,001:INFO:Preloading libraries
  3971. 2022-01-17 15:35:42,002:INFO:Copying training dataset
  3972. 2022-01-17 15:35:42,003:INFO:Copying test dataset
  3973. 2022-01-17 15:35:42,003:INFO:Plot type: feature
  3974. 2022-01-17 15:35:42,004:WARNING:No coef_ found. Trying feature_importances_
  3975. 2022-01-17 15:35:42,081:INFO:Visual Rendered Successfully
  3976. 2022-01-17 15:35:42,156:INFO:plot_model() succesfully completed......................................
  3977. 2022-01-17 15:36:22,164:INFO:Initializing plot_model()
  3978. 2022-01-17 15:36:22,164:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  3979. max_depth=None, max_features=None, max_leaf_nodes=None,
  3980. min_impurity_decrease=0.0, min_impurity_split=None,
  3981. min_samples_leaf=1, min_samples_split=2,
  3982. min_weight_fraction_leaf=0.0, presort='deprecated',
  3983. random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  3984. 2022-01-17 15:36:22,164:INFO:Checking exceptions
  3985. 2022-01-17 15:36:22,165:INFO:Preparing display monitor
  3986. 2022-01-17 15:36:22,169:INFO:Preloading libraries
  3987. 2022-01-17 15:36:22,170:INFO:Copying training dataset
  3988. 2022-01-17 15:36:22,171:INFO:Copying test dataset
  3989. 2022-01-17 15:36:22,171:INFO:Plot type: tree
  3990. 2022-01-17 15:36:22,181:INFO:Plotting decision trees
  3991. 2022-01-17 15:36:22,181:INFO:Plotting tree 0
  3992. 2022-01-17 15:36:37,267:INFO:Visual Rendered Successfully
  3993. 2022-01-17 15:36:37,358:INFO:plot_model() succesfully completed......................................
  3994. 2022-01-17 16:05:47,165:INFO:PyCaret Supervised Module
  3995. 2022-01-17 16:05:47,165:INFO:ML Usecase: classification
  3996. 2022-01-17 16:05:47,165:INFO:version 2.3.6
  3997. 2022-01-17 16:05:47,165:INFO:Initializing setup()
  3998. 2022-01-17 16:05:47,165:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  3999. 2022-01-17 16:05:47,165:INFO:Checking environment
  4000. 2022-01-17 16:05:47,166:INFO:python_version: 3.8.8
  4001. 2022-01-17 16:05:47,166:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  4002. 2022-01-17 16:05:47,166:INFO:machine: x86_64
  4003. 2022-01-17 16:05:47,166:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  4004. 2022-01-17 16:05:47,166:INFO:Memory: svmem(total=33619935232, available=29945696256, percent=10.9, used=2828460032, free=27356975104, active=1214738432, inactive=4452962304, buffers=605200384, cached=2829299712, shared=383582208, slab=300781568)
  4005. 2022-01-17 16:05:47,167:INFO:Physical Core: 16
  4006. 2022-01-17 16:05:47,167:INFO:Logical Core: 32
  4007. 2022-01-17 16:05:47,167:INFO:Checking libraries
  4008. 2022-01-17 16:05:47,167:INFO:pd==1.2.4
  4009. 2022-01-17 16:05:47,167:INFO:numpy==1.19.5
  4010. 2022-01-17 16:05:47,168:INFO:sklearn==0.23.2
  4011. 2022-01-17 16:05:47,168:INFO:lightgbm==3.3.2
  4012. 2022-01-17 16:05:47,168:WARNING:catboost not found
  4013. 2022-01-17 16:05:47,169:WARNING:xgboost not found
  4014. 2022-01-17 16:05:47,287:INFO:mlflow==1.22.0
  4015. 2022-01-17 16:05:47,288:INFO:Checking Exceptions
  4016. 2022-01-17 16:05:47,288:INFO:Declaring global variables
  4017. 2022-01-17 16:05:47,289:INFO:USI: 95c8
  4018. 2022-01-17 16:05:47,289:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  4019. 2022-01-17 16:05:47,289:INFO:Preparing display monitor
  4020. 2022-01-17 16:05:47,289:INFO:Preparing display monitor
  4021. 2022-01-17 16:05:47,298:INFO:Importing libraries
  4022. 2022-01-17 16:05:47,299:INFO:Copying data for preprocessing
  4023. 2022-01-17 16:05:47,304:INFO:Declaring preprocessing parameters
  4024. 2022-01-17 16:05:47,304:WARNING:cuML not found
  4025. 2022-01-17 16:05:47,305:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  4026. 2022-01-17 16:05:47,307:INFO:Creating preprocessing pipeline
  4027. 2022-01-17 16:05:47,333:INFO:Preprocessing pipeline created successfully
  4028. 2022-01-17 16:05:47,334:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  4029. 2022-01-17 16:05:47,334:INFO:Creating global containers
  4030. 2022-01-17 16:05:47,334:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  4031. 2022-01-17 16:06:03,093:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  4032. 2022-01-17 16:06:03,120:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  4033. 2022-01-17 16:06:03,121:WARNING:Couldn't import cuml.MBSGDClassifier
  4034. 2022-01-17 16:06:03,122:WARNING:Couldn't import cuml.svm.SVC
  4035. 2022-01-17 16:06:03,137:WARNING:Couldn't import cuml.linear_model
  4036. 2022-01-17 16:06:03,140:WARNING:Couldn't import cuml.ensemble
  4037. 2022-01-17 16:06:03,142:WARNING:Couldn't import xgboost.XGBClassifier
  4038. 2022-01-17 16:06:03,147:WARNING:Couldn't import catboost.CatBoostClassifier
  4039. 2022-01-17 16:06:03,148:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  4040. 2022-01-17 16:06:03,177:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  4041. 2022-01-17 16:06:03,177:WARNING:Couldn't import cuml.MBSGDClassifier
  4042. 2022-01-17 16:06:03,178:WARNING:Couldn't import cuml.svm.SVC
  4043. 2022-01-17 16:06:03,192:WARNING:Couldn't import cuml.linear_model
  4044. 2022-01-17 16:06:03,195:WARNING:Couldn't import cuml.ensemble
  4045. 2022-01-17 16:06:03,196:WARNING:Couldn't import xgboost.XGBClassifier
  4046. 2022-01-17 16:06:03,200:WARNING:Couldn't import catboost.CatBoostClassifier
  4047. 2022-01-17 16:06:03,201:INFO:Creating grid variables
  4048. 2022-01-17 16:06:03,212:INFO:create_model_container: 0
  4049. 2022-01-17 16:06:03,213:INFO:master_model_container: 0
  4050. 2022-01-17 16:06:03,213:INFO:display_container: 1
  4051. 2022-01-17 16:06:03,216:INFO:Pipeline(memory=None,
  4052. steps=[('dtypes',
  4053. DataTypes_Auto_infer(categorical_features=[],
  4054. display_types=True, features_todrop=[],
  4055. id_columns=[],
  4056. ml_usecase='classification',
  4057. numerical_features=[], target='label',
  4058. time_features=[])),
  4059. ('imputer',
  4060. Simple_Imputer(categorical_strategy='not_available',
  4061. fill_value_categorical=None,
  4062. fill_value_numerical=None,
  4063. numeric_strate...
  4064. target='label')),
  4065. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  4066. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  4067. ('dummy', Dummify(target='label')),
  4068. ('fix_perfect', Remove_100(target='label')),
  4069. ('clean_names', Clean_Colum_Names()),
  4070. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  4071. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  4072. verbose=False)
  4073. 2022-01-17 16:06:03,216:INFO:setup() succesfully completed......................................
  4074. 2022-01-17 16:06:14,364:INFO:Initializing compare_models()
  4075. 2022-01-17 16:06:14,364:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  4076. 2022-01-17 16:06:14,364:INFO:Checking exceptions
  4077. 2022-01-17 16:06:14,365:INFO:Preparing display monitor
  4078. 2022-01-17 16:06:14,366:INFO:Preparing display monitor
  4079. 2022-01-17 16:06:14,382:INFO:Initializing Logistic Regression
  4080. 2022-01-17 16:06:14,383:INFO:Total runtime is 5.551179250081381e-06 minutes
  4081. 2022-01-17 16:06:14,388:INFO:SubProcess create_model() called ==================================
  4082. 2022-01-17 16:06:14,388:INFO:Initializing create_model()
  4083. 2022-01-17 16:06:14,388:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4084. 2022-01-17 16:06:14,388:INFO:Checking exceptions
  4085. 2022-01-17 16:06:14,389:INFO:Importing libraries
  4086. 2022-01-17 16:06:14,389:INFO:Copying training dataset
  4087. 2022-01-17 16:06:14,390:INFO:Defining folds
  4088. 2022-01-17 16:06:14,390:INFO:Declaring metric variables
  4089. 2022-01-17 16:06:14,395:INFO:Importing untrained model
  4090. 2022-01-17 16:06:14,400:INFO:Logistic Regression Imported succesfully
  4091. 2022-01-17 16:06:14,410:INFO:Starting cross validation
  4092. 2022-01-17 16:06:14,411:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4093. 2022-01-17 16:06:19,206:INFO:Calculating mean and std
  4094. 2022-01-17 16:06:19,210:INFO:Creating metrics dataframe
  4095. 2022-01-17 16:06:19,217:INFO:Uploading results into container
  4096. 2022-01-17 16:06:19,217:INFO:Uploading model into container now
  4097. 2022-01-17 16:06:19,218:INFO:create_model_container: 1
  4098. 2022-01-17 16:06:19,218:INFO:master_model_container: 1
  4099. 2022-01-17 16:06:19,218:INFO:display_container: 2
  4100. 2022-01-17 16:06:19,219:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  4101. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  4102. multi_class='auto', n_jobs=None, penalty='l2',
  4103. random_state=2572, solver='lbfgs', tol=0.0001, verbose=0,
  4104. warm_start=False)
  4105. 2022-01-17 16:06:19,219:INFO:create_model() succesfully completed......................................
  4106. 2022-01-17 16:06:19,300:INFO:SubProcess create_model() end ==================================
  4107. 2022-01-17 16:06:19,300:INFO:Creating metrics dataframe
  4108. 2022-01-17 16:06:19,309:INFO:Initializing K Neighbors Classifier
  4109. 2022-01-17 16:06:19,309:INFO:Total runtime is 0.08211646477381389 minutes
  4110. 2022-01-17 16:06:19,314:INFO:SubProcess create_model() called ==================================
  4111. 2022-01-17 16:06:19,315:INFO:Initializing create_model()
  4112. 2022-01-17 16:06:19,315:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4113. 2022-01-17 16:06:19,315:INFO:Checking exceptions
  4114. 2022-01-17 16:06:19,315:INFO:Importing libraries
  4115. 2022-01-17 16:06:19,315:INFO:Copying training dataset
  4116. 2022-01-17 16:06:19,316:INFO:Defining folds
  4117. 2022-01-17 16:06:19,317:INFO:Declaring metric variables
  4118. 2022-01-17 16:06:19,321:INFO:Importing untrained model
  4119. 2022-01-17 16:06:19,326:INFO:K Neighbors Classifier Imported succesfully
  4120. 2022-01-17 16:06:19,336:INFO:Starting cross validation
  4121. 2022-01-17 16:06:19,337:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4122. 2022-01-17 16:06:28,500:INFO:Calculating mean and std
  4123. 2022-01-17 16:06:28,501:INFO:Creating metrics dataframe
  4124. 2022-01-17 16:06:28,504:INFO:Uploading results into container
  4125. 2022-01-17 16:06:28,505:INFO:Uploading model into container now
  4126. 2022-01-17 16:06:28,505:INFO:create_model_container: 2
  4127. 2022-01-17 16:06:28,505:INFO:master_model_container: 2
  4128. 2022-01-17 16:06:28,505:INFO:display_container: 2
  4129. 2022-01-17 16:06:28,505:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  4130. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  4131. weights='uniform')
  4132. 2022-01-17 16:06:28,505:INFO:create_model() succesfully completed......................................
  4133. 2022-01-17 16:06:28,583:INFO:SubProcess create_model() end ==================================
  4134. 2022-01-17 16:06:28,584:INFO:Creating metrics dataframe
  4135. 2022-01-17 16:06:28,595:INFO:Initializing Naive Bayes
  4136. 2022-01-17 16:06:28,595:INFO:Total runtime is 0.23687418699264529 minutes
  4137. 2022-01-17 16:06:28,600:INFO:SubProcess create_model() called ==================================
  4138. 2022-01-17 16:06:28,600:INFO:Initializing create_model()
  4139. 2022-01-17 16:06:28,601:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4140. 2022-01-17 16:06:28,601:INFO:Checking exceptions
  4141. 2022-01-17 16:06:28,601:INFO:Importing libraries
  4142. 2022-01-17 16:06:28,601:INFO:Copying training dataset
  4143. 2022-01-17 16:06:28,602:INFO:Defining folds
  4144. 2022-01-17 16:06:28,602:INFO:Declaring metric variables
  4145. 2022-01-17 16:06:28,607:INFO:Importing untrained model
  4146. 2022-01-17 16:06:28,612:INFO:Naive Bayes Imported succesfully
  4147. 2022-01-17 16:06:28,622:INFO:Starting cross validation
  4148. 2022-01-17 16:06:28,622:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4149. 2022-01-17 16:06:28,788:INFO:Calculating mean and std
  4150. 2022-01-17 16:06:28,789:INFO:Creating metrics dataframe
  4151. 2022-01-17 16:06:28,791:INFO:Uploading results into container
  4152. 2022-01-17 16:06:28,792:INFO:Uploading model into container now
  4153. 2022-01-17 16:06:28,792:INFO:create_model_container: 3
  4154. 2022-01-17 16:06:28,792:INFO:master_model_container: 3
  4155. 2022-01-17 16:06:28,792:INFO:display_container: 2
  4156. 2022-01-17 16:06:28,792:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  4157. 2022-01-17 16:06:28,793:INFO:create_model() succesfully completed......................................
  4158. 2022-01-17 16:06:28,860:INFO:SubProcess create_model() end ==================================
  4159. 2022-01-17 16:06:28,860:INFO:Creating metrics dataframe
  4160. 2022-01-17 16:06:28,871:INFO:Initializing Decision Tree Classifier
  4161. 2022-01-17 16:06:28,872:INFO:Total runtime is 0.241489048798879 minutes
  4162. 2022-01-17 16:06:28,877:INFO:SubProcess create_model() called ==================================
  4163. 2022-01-17 16:06:28,878:INFO:Initializing create_model()
  4164. 2022-01-17 16:06:28,878:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4165. 2022-01-17 16:06:28,878:INFO:Checking exceptions
  4166. 2022-01-17 16:06:28,878:INFO:Importing libraries
  4167. 2022-01-17 16:06:28,878:INFO:Copying training dataset
  4168. 2022-01-17 16:06:28,879:INFO:Defining folds
  4169. 2022-01-17 16:06:28,879:INFO:Declaring metric variables
  4170. 2022-01-17 16:06:28,884:INFO:Importing untrained model
  4171. 2022-01-17 16:06:28,889:INFO:Decision Tree Classifier Imported succesfully
  4172. 2022-01-17 16:06:28,899:INFO:Starting cross validation
  4173. 2022-01-17 16:06:28,900:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4174. 2022-01-17 16:06:29,472:INFO:Calculating mean and std
  4175. 2022-01-17 16:06:29,473:INFO:Creating metrics dataframe
  4176. 2022-01-17 16:06:29,476:INFO:Uploading results into container
  4177. 2022-01-17 16:06:29,476:INFO:Uploading model into container now
  4178. 2022-01-17 16:06:29,476:INFO:create_model_container: 4
  4179. 2022-01-17 16:06:29,476:INFO:master_model_container: 4
  4180. 2022-01-17 16:06:29,477:INFO:display_container: 2
  4181. 2022-01-17 16:06:29,477:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4182. max_depth=None, max_features=None, max_leaf_nodes=None,
  4183. min_impurity_decrease=0.0, min_impurity_split=None,
  4184. min_samples_leaf=1, min_samples_split=2,
  4185. min_weight_fraction_leaf=0.0, presort='deprecated',
  4186. random_state=2572, splitter='best')
  4187. 2022-01-17 16:06:29,477:INFO:create_model() succesfully completed......................................
  4188. 2022-01-17 16:06:29,543:INFO:SubProcess create_model() end ==================================
  4189. 2022-01-17 16:06:29,543:INFO:Creating metrics dataframe
  4190. 2022-01-17 16:06:29,555:INFO:Initializing SVM - Linear Kernel
  4191. 2022-01-17 16:06:29,555:INFO:Total runtime is 0.25287699699401855 minutes
  4192. 2022-01-17 16:06:29,560:INFO:SubProcess create_model() called ==================================
  4193. 2022-01-17 16:06:29,561:INFO:Initializing create_model()
  4194. 2022-01-17 16:06:29,561:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4195. 2022-01-17 16:06:29,561:INFO:Checking exceptions
  4196. 2022-01-17 16:06:29,561:INFO:Importing libraries
  4197. 2022-01-17 16:06:29,562:INFO:Copying training dataset
  4198. 2022-01-17 16:06:29,563:INFO:Defining folds
  4199. 2022-01-17 16:06:29,563:INFO:Declaring metric variables
  4200. 2022-01-17 16:06:29,567:INFO:Importing untrained model
  4201. 2022-01-17 16:06:29,572:INFO:SVM - Linear Kernel Imported succesfully
  4202. 2022-01-17 16:06:29,582:INFO:Starting cross validation
  4203. 2022-01-17 16:06:29,583:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4204. 2022-01-17 16:06:30,453:INFO:Calculating mean and std
  4205. 2022-01-17 16:06:30,455:INFO:Creating metrics dataframe
  4206. 2022-01-17 16:06:30,458:INFO:Uploading results into container
  4207. 2022-01-17 16:06:30,459:INFO:Uploading model into container now
  4208. 2022-01-17 16:06:30,459:INFO:create_model_container: 5
  4209. 2022-01-17 16:06:30,459:INFO:master_model_container: 5
  4210. 2022-01-17 16:06:30,460:INFO:display_container: 2
  4211. 2022-01-17 16:06:30,466:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  4212. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  4213. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  4214. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  4215. power_t=0.5, random_state=2572, shuffle=True, tol=0.001,
  4216. validation_fraction=0.1, verbose=0, warm_start=False)
  4217. 2022-01-17 16:06:30,466:INFO:create_model() succesfully completed......................................
  4218. 2022-01-17 16:06:30,549:INFO:SubProcess create_model() end ==================================
  4219. 2022-01-17 16:06:30,550:INFO:Creating metrics dataframe
  4220. 2022-01-17 16:06:30,562:INFO:Initializing Ridge Classifier
  4221. 2022-01-17 16:06:30,562:INFO:Total runtime is 0.26966045300165814 minutes
  4222. 2022-01-17 16:06:30,567:INFO:SubProcess create_model() called ==================================
  4223. 2022-01-17 16:06:30,567:INFO:Initializing create_model()
  4224. 2022-01-17 16:06:30,568:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4225. 2022-01-17 16:06:30,568:INFO:Checking exceptions
  4226. 2022-01-17 16:06:30,568:INFO:Importing libraries
  4227. 2022-01-17 16:06:30,568:INFO:Copying training dataset
  4228. 2022-01-17 16:06:30,569:INFO:Defining folds
  4229. 2022-01-17 16:06:30,569:INFO:Declaring metric variables
  4230. 2022-01-17 16:06:30,574:INFO:Importing untrained model
  4231. 2022-01-17 16:06:30,578:INFO:Ridge Classifier Imported succesfully
  4232. 2022-01-17 16:06:30,589:INFO:Starting cross validation
  4233. 2022-01-17 16:06:30,589:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4234. 2022-01-17 16:06:30,942:INFO:Calculating mean and std
  4235. 2022-01-17 16:06:30,943:INFO:Creating metrics dataframe
  4236. 2022-01-17 16:06:30,947:INFO:Uploading results into container
  4237. 2022-01-17 16:06:30,947:INFO:Uploading model into container now
  4238. 2022-01-17 16:06:30,947:INFO:create_model_container: 6
  4239. 2022-01-17 16:06:30,947:INFO:master_model_container: 6
  4240. 2022-01-17 16:06:30,948:INFO:display_container: 2
  4241. 2022-01-17 16:06:30,948:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  4242. max_iter=None, normalize=False, random_state=2572,
  4243. solver='auto', tol=0.001)
  4244. 2022-01-17 16:06:30,948:INFO:create_model() succesfully completed......................................
  4245. 2022-01-17 16:06:31,054:INFO:SubProcess create_model() end ==================================
  4246. 2022-01-17 16:06:31,054:INFO:Creating metrics dataframe
  4247. 2022-01-17 16:06:31,066:INFO:Initializing Random Forest Classifier
  4248. 2022-01-17 16:06:31,067:INFO:Total runtime is 0.27807333072026574 minutes
  4249. 2022-01-17 16:06:31,072:INFO:SubProcess create_model() called ==================================
  4250. 2022-01-17 16:06:31,072:INFO:Initializing create_model()
  4251. 2022-01-17 16:06:31,072:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4252. 2022-01-17 16:06:31,073:INFO:Checking exceptions
  4253. 2022-01-17 16:06:31,073:INFO:Importing libraries
  4254. 2022-01-17 16:06:31,073:INFO:Copying training dataset
  4255. 2022-01-17 16:06:31,074:INFO:Defining folds
  4256. 2022-01-17 16:06:31,074:INFO:Declaring metric variables
  4257. 2022-01-17 16:06:31,079:INFO:Importing untrained model
  4258. 2022-01-17 16:06:31,084:INFO:Random Forest Classifier Imported succesfully
  4259. 2022-01-17 16:06:31,094:INFO:Starting cross validation
  4260. 2022-01-17 16:06:31,094:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4261. 2022-01-17 16:06:37,143:INFO:Calculating mean and std
  4262. 2022-01-17 16:06:37,144:INFO:Creating metrics dataframe
  4263. 2022-01-17 16:06:37,147:INFO:Uploading results into container
  4264. 2022-01-17 16:06:37,147:INFO:Uploading model into container now
  4265. 2022-01-17 16:06:37,147:INFO:create_model_container: 7
  4266. 2022-01-17 16:06:37,147:INFO:master_model_container: 7
  4267. 2022-01-17 16:06:37,147:INFO:display_container: 2
  4268. 2022-01-17 16:06:37,148:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4269. criterion='gini', max_depth=None, max_features='auto',
  4270. max_leaf_nodes=None, max_samples=None,
  4271. min_impurity_decrease=0.0, min_impurity_split=None,
  4272. min_samples_leaf=1, min_samples_split=2,
  4273. min_weight_fraction_leaf=0.0, n_estimators=100,
  4274. n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
  4275. warm_start=False)
  4276. 2022-01-17 16:06:37,148:INFO:create_model() succesfully completed......................................
  4277. 2022-01-17 16:06:37,216:INFO:SubProcess create_model() end ==================================
  4278. 2022-01-17 16:06:37,217:INFO:Creating metrics dataframe
  4279. 2022-01-17 16:06:37,228:INFO:Initializing Quadratic Discriminant Analysis
  4280. 2022-01-17 16:06:37,229:INFO:Total runtime is 0.3807707866032919 minutes
  4281. 2022-01-17 16:06:37,234:INFO:SubProcess create_model() called ==================================
  4282. 2022-01-17 16:06:37,235:INFO:Initializing create_model()
  4283. 2022-01-17 16:06:37,235:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4284. 2022-01-17 16:06:37,235:INFO:Checking exceptions
  4285. 2022-01-17 16:06:37,235:INFO:Importing libraries
  4286. 2022-01-17 16:06:37,235:INFO:Copying training dataset
  4287. 2022-01-17 16:06:37,236:INFO:Defining folds
  4288. 2022-01-17 16:06:37,236:INFO:Declaring metric variables
  4289. 2022-01-17 16:06:37,241:INFO:Importing untrained model
  4290. 2022-01-17 16:06:37,246:INFO:Quadratic Discriminant Analysis Imported succesfully
  4291. 2022-01-17 16:06:37,256:INFO:Starting cross validation
  4292. 2022-01-17 16:06:37,257:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4293. 2022-01-17 16:06:37,770:INFO:Calculating mean and std
  4294. 2022-01-17 16:06:37,771:INFO:Creating metrics dataframe
  4295. 2022-01-17 16:06:37,778:INFO:Uploading results into container
  4296. 2022-01-17 16:06:37,778:INFO:Uploading model into container now
  4297. 2022-01-17 16:06:37,780:INFO:create_model_container: 8
  4298. 2022-01-17 16:06:37,781:INFO:master_model_container: 8
  4299. 2022-01-17 16:06:37,781:INFO:display_container: 2
  4300. 2022-01-17 16:06:37,782:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  4301. store_covariance=False, tol=0.0001)
  4302. 2022-01-17 16:06:37,782:INFO:create_model() succesfully completed......................................
  4303. 2022-01-17 16:06:37,865:INFO:SubProcess create_model() end ==================================
  4304. 2022-01-17 16:06:37,865:INFO:Creating metrics dataframe
  4305. 2022-01-17 16:06:37,877:INFO:Initializing Ada Boost Classifier
  4306. 2022-01-17 16:06:37,878:INFO:Total runtime is 0.39158812761306766 minutes
  4307. 2022-01-17 16:06:37,883:INFO:SubProcess create_model() called ==================================
  4308. 2022-01-17 16:06:37,884:INFO:Initializing create_model()
  4309. 2022-01-17 16:06:37,884:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4310. 2022-01-17 16:06:37,884:INFO:Checking exceptions
  4311. 2022-01-17 16:06:37,884:INFO:Importing libraries
  4312. 2022-01-17 16:06:37,885:INFO:Copying training dataset
  4313. 2022-01-17 16:06:37,886:INFO:Defining folds
  4314. 2022-01-17 16:06:37,886:INFO:Declaring metric variables
  4315. 2022-01-17 16:06:37,891:INFO:Importing untrained model
  4316. 2022-01-17 16:06:37,897:INFO:Ada Boost Classifier Imported succesfully
  4317. 2022-01-17 16:06:37,909:INFO:Starting cross validation
  4318. 2022-01-17 16:06:37,910:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4319. 2022-01-17 16:06:42,135:INFO:Calculating mean and std
  4320. 2022-01-17 16:06:42,136:INFO:Creating metrics dataframe
  4321. 2022-01-17 16:06:42,139:INFO:Uploading results into container
  4322. 2022-01-17 16:06:42,139:INFO:Uploading model into container now
  4323. 2022-01-17 16:06:42,139:INFO:create_model_container: 9
  4324. 2022-01-17 16:06:42,139:INFO:master_model_container: 9
  4325. 2022-01-17 16:06:42,139:INFO:display_container: 2
  4326. 2022-01-17 16:06:42,140:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  4327. n_estimators=50, random_state=2572)
  4328. 2022-01-17 16:06:42,140:INFO:create_model() succesfully completed......................................
  4329. 2022-01-17 16:06:42,215:INFO:SubProcess create_model() end ==================================
  4330. 2022-01-17 16:06:42,215:INFO:Creating metrics dataframe
  4331. 2022-01-17 16:06:42,228:INFO:Initializing Gradient Boosting Classifier
  4332. 2022-01-17 16:06:42,228:INFO:Total runtime is 0.4641005595525106 minutes
  4333. 2022-01-17 16:06:42,234:INFO:SubProcess create_model() called ==================================
  4334. 2022-01-17 16:06:42,234:INFO:Initializing create_model()
  4335. 2022-01-17 16:06:42,234:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4336. 2022-01-17 16:06:42,234:INFO:Checking exceptions
  4337. 2022-01-17 16:06:42,234:INFO:Importing libraries
  4338. 2022-01-17 16:06:42,235:INFO:Copying training dataset
  4339. 2022-01-17 16:06:42,236:INFO:Defining folds
  4340. 2022-01-17 16:06:42,236:INFO:Declaring metric variables
  4341. 2022-01-17 16:06:42,240:INFO:Importing untrained model
  4342. 2022-01-17 16:06:42,246:INFO:Gradient Boosting Classifier Imported succesfully
  4343. 2022-01-17 16:06:42,255:INFO:Starting cross validation
  4344. 2022-01-17 16:06:42,256:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4345. 2022-01-17 16:06:55,382:INFO:Calculating mean and std
  4346. 2022-01-17 16:06:55,383:INFO:Creating metrics dataframe
  4347. 2022-01-17 16:06:55,386:INFO:Uploading results into container
  4348. 2022-01-17 16:06:55,386:INFO:Uploading model into container now
  4349. 2022-01-17 16:06:55,386:INFO:create_model_container: 10
  4350. 2022-01-17 16:06:55,386:INFO:master_model_container: 10
  4351. 2022-01-17 16:06:55,386:INFO:display_container: 2
  4352. 2022-01-17 16:06:55,387:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  4353. learning_rate=0.1, loss='deviance', max_depth=3,
  4354. max_features=None, max_leaf_nodes=None,
  4355. min_impurity_decrease=0.0, min_impurity_split=None,
  4356. min_samples_leaf=1, min_samples_split=2,
  4357. min_weight_fraction_leaf=0.0, n_estimators=100,
  4358. n_iter_no_change=None, presort='deprecated',
  4359. random_state=2572, subsample=1.0, tol=0.0001,
  4360. validation_fraction=0.1, verbose=0,
  4361. warm_start=False)
  4362. 2022-01-17 16:06:55,387:INFO:create_model() succesfully completed......................................
  4363. 2022-01-17 16:06:55,453:INFO:SubProcess create_model() end ==================================
  4364. 2022-01-17 16:06:55,453:INFO:Creating metrics dataframe
  4365. 2022-01-17 16:06:55,466:INFO:Initializing Linear Discriminant Analysis
  4366. 2022-01-17 16:06:55,466:INFO:Total runtime is 0.68473326365153 minutes
  4367. 2022-01-17 16:06:55,472:INFO:SubProcess create_model() called ==================================
  4368. 2022-01-17 16:06:55,472:INFO:Initializing create_model()
  4369. 2022-01-17 16:06:55,472:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4370. 2022-01-17 16:06:55,472:INFO:Checking exceptions
  4371. 2022-01-17 16:06:55,473:INFO:Importing libraries
  4372. 2022-01-17 16:06:55,473:INFO:Copying training dataset
  4373. 2022-01-17 16:06:55,474:INFO:Defining folds
  4374. 2022-01-17 16:06:55,474:INFO:Declaring metric variables
  4375. 2022-01-17 16:06:55,479:INFO:Importing untrained model
  4376. 2022-01-17 16:06:55,484:INFO:Linear Discriminant Analysis Imported succesfully
  4377. 2022-01-17 16:06:55,494:INFO:Starting cross validation
  4378. 2022-01-17 16:06:55,495:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4379. 2022-01-17 16:06:56,723:INFO:Calculating mean and std
  4380. 2022-01-17 16:06:56,727:INFO:Creating metrics dataframe
  4381. 2022-01-17 16:06:56,732:INFO:Uploading results into container
  4382. 2022-01-17 16:06:56,732:INFO:Uploading model into container now
  4383. 2022-01-17 16:06:56,732:INFO:create_model_container: 11
  4384. 2022-01-17 16:06:56,733:INFO:master_model_container: 11
  4385. 2022-01-17 16:06:56,733:INFO:display_container: 2
  4386. 2022-01-17 16:06:56,733:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  4387. solver='svd', store_covariance=False, tol=0.0001)
  4388. 2022-01-17 16:06:56,733:INFO:create_model() succesfully completed......................................
  4389. 2022-01-17 16:06:56,827:INFO:SubProcess create_model() end ==================================
  4390. 2022-01-17 16:06:56,828:INFO:Creating metrics dataframe
  4391. 2022-01-17 16:06:56,840:INFO:Initializing Extra Trees Classifier
  4392. 2022-01-17 16:06:56,841:INFO:Total runtime is 0.7076396306355794 minutes
  4393. 2022-01-17 16:06:56,846:INFO:SubProcess create_model() called ==================================
  4394. 2022-01-17 16:06:56,846:INFO:Initializing create_model()
  4395. 2022-01-17 16:06:56,847:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4396. 2022-01-17 16:06:56,847:INFO:Checking exceptions
  4397. 2022-01-17 16:06:56,847:INFO:Importing libraries
  4398. 2022-01-17 16:06:56,847:INFO:Copying training dataset
  4399. 2022-01-17 16:06:56,848:INFO:Defining folds
  4400. 2022-01-17 16:06:56,848:INFO:Declaring metric variables
  4401. 2022-01-17 16:06:56,853:INFO:Importing untrained model
  4402. 2022-01-17 16:06:56,858:INFO:Extra Trees Classifier Imported succesfully
  4403. 2022-01-17 16:06:56,868:INFO:Starting cross validation
  4404. 2022-01-17 16:06:56,868:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4405. 2022-01-17 16:07:02,994:INFO:Calculating mean and std
  4406. 2022-01-17 16:07:02,995:INFO:Creating metrics dataframe
  4407. 2022-01-17 16:07:02,998:INFO:Uploading results into container
  4408. 2022-01-17 16:07:02,998:INFO:Uploading model into container now
  4409. 2022-01-17 16:07:02,998:INFO:create_model_container: 12
  4410. 2022-01-17 16:07:02,998:INFO:master_model_container: 12
  4411. 2022-01-17 16:07:02,998:INFO:display_container: 2
  4412. 2022-01-17 16:07:02,999:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  4413. criterion='gini', max_depth=None, max_features='auto',
  4414. max_leaf_nodes=None, max_samples=None,
  4415. min_impurity_decrease=0.0, min_impurity_split=None,
  4416. min_samples_leaf=1, min_samples_split=2,
  4417. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  4418. oob_score=False, random_state=2572, verbose=0,
  4419. warm_start=False)
  4420. 2022-01-17 16:07:02,999:INFO:create_model() succesfully completed......................................
  4421. 2022-01-17 16:07:03,071:INFO:SubProcess create_model() end ==================================
  4422. 2022-01-17 16:07:03,072:INFO:Creating metrics dataframe
  4423. 2022-01-17 16:07:03,085:INFO:Initializing Light Gradient Boosting Machine
  4424. 2022-01-17 16:07:03,085:INFO:Total runtime is 0.8117074847221375 minutes
  4425. 2022-01-17 16:07:03,090:INFO:SubProcess create_model() called ==================================
  4426. 2022-01-17 16:07:03,090:INFO:Initializing create_model()
  4427. 2022-01-17 16:07:03,091:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4428. 2022-01-17 16:07:03,091:INFO:Checking exceptions
  4429. 2022-01-17 16:07:03,091:INFO:Importing libraries
  4430. 2022-01-17 16:07:03,091:INFO:Copying training dataset
  4431. 2022-01-17 16:07:03,092:INFO:Defining folds
  4432. 2022-01-17 16:07:03,093:INFO:Declaring metric variables
  4433. 2022-01-17 16:07:03,098:INFO:Importing untrained model
  4434. 2022-01-17 16:07:03,103:INFO:Light Gradient Boosting Machine Imported succesfully
  4435. 2022-01-17 16:07:03,113:INFO:Starting cross validation
  4436. 2022-01-17 16:07:03,114:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4437. 2022-01-17 16:07:05,386:INFO:Calculating mean and std
  4438. 2022-01-17 16:07:05,387:INFO:Creating metrics dataframe
  4439. 2022-01-17 16:07:05,390:INFO:Uploading results into container
  4440. 2022-01-17 16:07:05,390:INFO:Uploading model into container now
  4441. 2022-01-17 16:07:05,390:INFO:create_model_container: 13
  4442. 2022-01-17 16:07:05,390:INFO:master_model_container: 13
  4443. 2022-01-17 16:07:05,390:INFO:display_container: 2
  4444. 2022-01-17 16:07:05,391:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  4445. importance_type='split', learning_rate=0.1, max_depth=-1,
  4446. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  4447. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  4448. random_state=2572, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  4449. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  4450. 2022-01-17 16:07:05,391:INFO:create_model() succesfully completed......................................
  4451. 2022-01-17 16:07:05,458:INFO:SubProcess create_model() end ==================================
  4452. 2022-01-17 16:07:05,459:INFO:Creating metrics dataframe
  4453. 2022-01-17 16:07:05,472:INFO:Initializing Dummy Classifier
  4454. 2022-01-17 16:07:05,472:INFO:Total runtime is 0.851492468516032 minutes
  4455. 2022-01-17 16:07:05,478:INFO:SubProcess create_model() called ==================================
  4456. 2022-01-17 16:07:05,478:INFO:Initializing create_model()
  4457. 2022-01-17 16:07:05,478:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87280ca7c0>, kwargs={})
  4458. 2022-01-17 16:07:05,478:INFO:Checking exceptions
  4459. 2022-01-17 16:07:05,478:INFO:Importing libraries
  4460. 2022-01-17 16:07:05,479:INFO:Copying training dataset
  4461. 2022-01-17 16:07:05,480:INFO:Defining folds
  4462. 2022-01-17 16:07:05,480:INFO:Declaring metric variables
  4463. 2022-01-17 16:07:05,484:INFO:Importing untrained model
  4464. 2022-01-17 16:07:05,489:INFO:Dummy Classifier Imported succesfully
  4465. 2022-01-17 16:07:05,499:INFO:Starting cross validation
  4466. 2022-01-17 16:07:05,500:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4467. 2022-01-17 16:07:05,587:INFO:Calculating mean and std
  4468. 2022-01-17 16:07:05,587:INFO:Creating metrics dataframe
  4469. 2022-01-17 16:07:05,590:INFO:Uploading results into container
  4470. 2022-01-17 16:07:05,590:INFO:Uploading model into container now
  4471. 2022-01-17 16:07:05,590:INFO:create_model_container: 14
  4472. 2022-01-17 16:07:05,590:INFO:master_model_container: 14
  4473. 2022-01-17 16:07:05,590:INFO:display_container: 2
  4474. 2022-01-17 16:07:05,591:INFO:DummyClassifier(constant=None, random_state=2572, strategy='prior')
  4475. 2022-01-17 16:07:05,591:INFO:create_model() succesfully completed......................................
  4476. 2022-01-17 16:07:05,656:INFO:SubProcess create_model() end ==================================
  4477. 2022-01-17 16:07:05,656:INFO:Creating metrics dataframe
  4478. 2022-01-17 16:07:05,683:INFO:Initializing create_model()
  4479. 2022-01-17 16:07:05,684:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4480. criterion='gini', max_depth=None, max_features='auto',
  4481. max_leaf_nodes=None, max_samples=None,
  4482. min_impurity_decrease=0.0, min_impurity_split=None,
  4483. min_samples_leaf=1, min_samples_split=2,
  4484. min_weight_fraction_leaf=0.0, n_estimators=100,
  4485. n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
  4486. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  4487. 2022-01-17 16:07:05,684:INFO:Checking exceptions
  4488. 2022-01-17 16:07:05,684:INFO:Importing libraries
  4489. 2022-01-17 16:07:05,684:INFO:Copying training dataset
  4490. 2022-01-17 16:07:05,685:INFO:Defining folds
  4491. 2022-01-17 16:07:05,685:INFO:Declaring metric variables
  4492. 2022-01-17 16:07:05,685:INFO:Importing untrained model
  4493. 2022-01-17 16:07:05,685:INFO:Declaring custom model
  4494. 2022-01-17 16:07:05,686:INFO:Random Forest Classifier Imported succesfully
  4495. 2022-01-17 16:07:05,686:INFO:Cross validation set to False
  4496. 2022-01-17 16:07:05,686:INFO:Fitting Model
  4497. 2022-01-17 16:07:06,011:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4498. criterion='gini', max_depth=None, max_features='auto',
  4499. max_leaf_nodes=None, max_samples=None,
  4500. min_impurity_decrease=0.0, min_impurity_split=None,
  4501. min_samples_leaf=1, min_samples_split=2,
  4502. min_weight_fraction_leaf=0.0, n_estimators=100,
  4503. n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
  4504. warm_start=False)
  4505. 2022-01-17 16:07:06,012:INFO:create_models() succesfully completed......................................
  4506. 2022-01-17 16:07:06,114:INFO:create_model_container: 14
  4507. 2022-01-17 16:07:06,114:INFO:master_model_container: 14
  4508. 2022-01-17 16:07:06,114:INFO:display_container: 2
  4509. 2022-01-17 16:07:06,115:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4510. criterion='gini', max_depth=None, max_features='auto',
  4511. max_leaf_nodes=None, max_samples=None,
  4512. min_impurity_decrease=0.0, min_impurity_split=None,
  4513. min_samples_leaf=1, min_samples_split=2,
  4514. min_weight_fraction_leaf=0.0, n_estimators=100,
  4515. n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
  4516. warm_start=False)
  4517. 2022-01-17 16:07:06,115:INFO:compare_models() succesfully completed......................................
  4518. 2022-01-17 16:07:30,718:INFO:Initializing create_model()
  4519. 2022-01-17 16:07:30,719:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  4520. 2022-01-17 16:07:30,719:INFO:Checking exceptions
  4521. 2022-01-17 16:07:30,719:INFO:Preparing display monitor
  4522. 2022-01-17 16:07:30,730:INFO:Importing libraries
  4523. 2022-01-17 16:07:30,730:INFO:Copying training dataset
  4524. 2022-01-17 16:07:30,731:INFO:Defining folds
  4525. 2022-01-17 16:07:30,731:INFO:Declaring metric variables
  4526. 2022-01-17 16:07:30,736:INFO:Importing untrained model
  4527. 2022-01-17 16:07:30,741:INFO:Decision Tree Classifier Imported succesfully
  4528. 2022-01-17 16:07:30,752:INFO:Starting cross validation
  4529. 2022-01-17 16:07:30,752:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4530. 2022-01-17 16:07:31,324:INFO:Calculating mean and std
  4531. 2022-01-17 16:07:31,325:INFO:Creating metrics dataframe
  4532. 2022-01-17 16:07:31,332:INFO:Finalizing model
  4533. 2022-01-17 16:07:31,386:INFO:Uploading results into container
  4534. 2022-01-17 16:07:31,386:INFO:Uploading model into container now
  4535. 2022-01-17 16:07:31,397:INFO:create_model_container: 15
  4536. 2022-01-17 16:07:31,397:INFO:master_model_container: 15
  4537. 2022-01-17 16:07:31,397:INFO:display_container: 3
  4538. 2022-01-17 16:07:31,397:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4539. max_depth=None, max_features=None, max_leaf_nodes=None,
  4540. min_impurity_decrease=0.0, min_impurity_split=None,
  4541. min_samples_leaf=1, min_samples_split=2,
  4542. min_weight_fraction_leaf=0.0, presort='deprecated',
  4543. random_state=2572, splitter='best')
  4544. 2022-01-17 16:07:31,398:INFO:create_model() succesfully completed......................................
  4545. 2022-01-17 16:08:27,484:INFO:Initializing evaluate_model()
  4546. 2022-01-17 16:08:27,484:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4547. max_depth=None, max_features=None, max_leaf_nodes=None,
  4548. min_impurity_decrease=0.0, min_impurity_split=None,
  4549. min_samples_leaf=1, min_samples_split=2,
  4550. min_weight_fraction_leaf=0.0, presort='deprecated',
  4551. random_state=2572, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  4552. 2022-01-17 16:08:27,496:INFO:Initializing plot_model()
  4553. 2022-01-17 16:08:27,497:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4554. max_depth=None, max_features=None, max_leaf_nodes=None,
  4555. min_impurity_decrease=0.0, min_impurity_split=None,
  4556. min_samples_leaf=1, min_samples_split=2,
  4557. min_weight_fraction_leaf=0.0, presort='deprecated',
  4558. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  4559. 2022-01-17 16:08:27,497:INFO:Checking exceptions
  4560. 2022-01-17 16:08:27,498:INFO:Preparing display monitor
  4561. 2022-01-17 16:08:27,502:INFO:Preloading libraries
  4562. 2022-01-17 16:08:27,503:INFO:Copying training dataset
  4563. 2022-01-17 16:08:27,503:INFO:Copying test dataset
  4564. 2022-01-17 16:08:27,504:INFO:Plot type: parameter
  4565. 2022-01-17 16:08:27,508:INFO:Visual Rendered Successfully
  4566. 2022-01-17 16:08:27,581:INFO:plot_model() succesfully completed......................................
  4567. 2022-01-17 16:08:34,477:INFO:Initializing plot_model()
  4568. 2022-01-17 16:08:34,477:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4569. max_depth=None, max_features=None, max_leaf_nodes=None,
  4570. min_impurity_decrease=0.0, min_impurity_split=None,
  4571. min_samples_leaf=1, min_samples_split=2,
  4572. min_weight_fraction_leaf=0.0, presort='deprecated',
  4573. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  4574. 2022-01-17 16:08:34,478:INFO:Checking exceptions
  4575. 2022-01-17 16:08:34,478:INFO:Preparing display monitor
  4576. 2022-01-17 16:08:34,482:INFO:Preloading libraries
  4577. 2022-01-17 16:08:34,483:INFO:Copying training dataset
  4578. 2022-01-17 16:08:34,484:INFO:Copying test dataset
  4579. 2022-01-17 16:08:34,484:INFO:Plot type: auc
  4580. 2022-01-17 16:08:34,485:INFO:Initializing get_config()
  4581. 2022-01-17 16:08:34,485:INFO:get_config(variable=prep_pipe)
  4582. 2022-01-17 16:08:34,488:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  4583. steps=[('dtypes',
  4584. DataTypes_Auto_infer(categorical_features=[],
  4585. display_types=True, features_todrop=[],
  4586. id_columns=[],
  4587. ml_usecase='classification',
  4588. numerical_features=[], target='label',
  4589. time_features=[])),
  4590. ('imputer',
  4591. Simple_Imputer(categorical_strategy='not_available',
  4592. fill_value_categorical=None,
  4593. fill_value_numerical=None,
  4594. numeric_strate...
  4595. target='label')),
  4596. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  4597. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  4598. ('dummy', Dummify(target='label')),
  4599. ('fix_perfect', Remove_100(target='label')),
  4600. ('clean_names', Clean_Colum_Names()),
  4601. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  4602. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  4603. verbose=False)
  4604. 2022-01-17 16:08:34,489:INFO:get_config() succesfully completed......................................
  4605. 2022-01-17 16:08:34,489:INFO:Fitting Model
  4606. 2022-01-17 16:08:34,491:INFO:Scoring test/hold-out set
  4607. 2022-01-17 16:08:34,605:INFO:Visual Rendered Successfully
  4608. 2022-01-17 16:08:34,676:INFO:plot_model() succesfully completed......................................
  4609. 2022-01-17 16:08:37,545:INFO:Initializing plot_model()
  4610. 2022-01-17 16:08:37,546:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4611. max_depth=None, max_features=None, max_leaf_nodes=None,
  4612. min_impurity_decrease=0.0, min_impurity_split=None,
  4613. min_samples_leaf=1, min_samples_split=2,
  4614. min_weight_fraction_leaf=0.0, presort='deprecated',
  4615. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  4616. 2022-01-17 16:08:37,546:INFO:Checking exceptions
  4617. 2022-01-17 16:08:37,547:INFO:Preparing display monitor
  4618. 2022-01-17 16:08:37,550:INFO:Preloading libraries
  4619. 2022-01-17 16:08:37,551:INFO:Copying training dataset
  4620. 2022-01-17 16:08:37,552:INFO:Copying test dataset
  4621. 2022-01-17 16:08:37,552:INFO:Plot type: confusion_matrix
  4622. 2022-01-17 16:08:37,553:INFO:Initializing get_config()
  4623. 2022-01-17 16:08:37,553:INFO:get_config(variable=prep_pipe)
  4624. 2022-01-17 16:08:37,557:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  4625. steps=[('dtypes',
  4626. DataTypes_Auto_infer(categorical_features=[],
  4627. display_types=True, features_todrop=[],
  4628. id_columns=[],
  4629. ml_usecase='classification',
  4630. numerical_features=[], target='label',
  4631. time_features=[])),
  4632. ('imputer',
  4633. Simple_Imputer(categorical_strategy='not_available',
  4634. fill_value_categorical=None,
  4635. fill_value_numerical=None,
  4636. numeric_strate...
  4637. target='label')),
  4638. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  4639. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  4640. ('dummy', Dummify(target='label')),
  4641. ('fix_perfect', Remove_100(target='label')),
  4642. ('clean_names', Clean_Colum_Names()),
  4643. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  4644. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  4645. verbose=False)
  4646. 2022-01-17 16:08:37,557:INFO:get_config() succesfully completed......................................
  4647. 2022-01-17 16:08:37,557:INFO:Fitting Model
  4648. 2022-01-17 16:08:37,558:INFO:Scoring test/hold-out set
  4649. 2022-01-17 16:08:37,638:INFO:Visual Rendered Successfully
  4650. 2022-01-17 16:08:37,708:INFO:plot_model() succesfully completed......................................
  4651. 2022-01-17 16:09:01,636:INFO:Initializing plot_model()
  4652. 2022-01-17 16:09:01,636:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4653. max_depth=None, max_features=None, max_leaf_nodes=None,
  4654. min_impurity_decrease=0.0, min_impurity_split=None,
  4655. min_samples_leaf=1, min_samples_split=2,
  4656. min_weight_fraction_leaf=0.0, presort='deprecated',
  4657. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  4658. 2022-01-17 16:09:01,637:INFO:Checking exceptions
  4659. 2022-01-17 16:09:01,637:INFO:Preparing display monitor
  4660. 2022-01-17 16:09:01,641:INFO:Preloading libraries
  4661. 2022-01-17 16:09:01,642:INFO:Copying training dataset
  4662. 2022-01-17 16:09:01,643:INFO:Copying test dataset
  4663. 2022-01-17 16:09:01,643:INFO:Plot type: pr
  4664. 2022-01-17 16:09:01,644:INFO:Fitting Model
  4665. 2022-01-17 16:09:01,646:INFO:Scoring test/hold-out set
  4666. 2022-01-17 16:09:01,732:INFO:Visual Rendered Successfully
  4667. 2022-01-17 16:09:01,803:INFO:plot_model() succesfully completed......................................
  4668. 2022-01-17 16:09:05,381:INFO:Initializing plot_model()
  4669. 2022-01-17 16:09:05,382:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4670. max_depth=None, max_features=None, max_leaf_nodes=None,
  4671. min_impurity_decrease=0.0, min_impurity_split=None,
  4672. min_samples_leaf=1, min_samples_split=2,
  4673. min_weight_fraction_leaf=0.0, presort='deprecated',
  4674. random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  4675. 2022-01-17 16:09:05,382:INFO:Checking exceptions
  4676. 2022-01-17 16:09:05,383:INFO:Preparing display monitor
  4677. 2022-01-17 16:09:05,386:INFO:Preloading libraries
  4678. 2022-01-17 16:09:05,387:INFO:Copying training dataset
  4679. 2022-01-17 16:09:05,388:INFO:Copying test dataset
  4680. 2022-01-17 16:09:05,388:INFO:Plot type: feature
  4681. 2022-01-17 16:09:05,389:WARNING:No coef_ found. Trying feature_importances_
  4682. 2022-01-17 16:09:05,470:INFO:Visual Rendered Successfully
  4683. 2022-01-17 16:09:05,538:INFO:plot_model() succesfully completed......................................
  4684. 2022-01-17 16:15:33,936:INFO:PyCaret Supervised Module
  4685. 2022-01-17 16:15:33,937:INFO:ML Usecase: classification
  4686. 2022-01-17 16:15:33,937:INFO:version 2.3.6
  4687. 2022-01-17 16:15:33,937:INFO:Initializing setup()
  4688. 2022-01-17 16:15:33,937:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  4689. 2022-01-17 16:15:33,937:INFO:Checking environment
  4690. 2022-01-17 16:15:33,937:INFO:python_version: 3.8.8
  4691. 2022-01-17 16:15:33,938:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  4692. 2022-01-17 16:15:33,938:INFO:machine: x86_64
  4693. 2022-01-17 16:15:33,938:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  4694. 2022-01-17 16:15:33,938:INFO:Memory: svmem(total=33619935232, available=28995649536, percent=13.8, used=3777806336, free=26403004416, active=1217720320, inactive=5390462976, buffers=606359552, cached=2832764928, shared=383610880, slab=303616000)
  4695. 2022-01-17 16:15:33,939:INFO:Physical Core: 16
  4696. 2022-01-17 16:15:33,939:INFO:Logical Core: 32
  4697. 2022-01-17 16:15:33,939:INFO:Checking libraries
  4698. 2022-01-17 16:15:33,939:INFO:pd==1.2.4
  4699. 2022-01-17 16:15:33,940:INFO:numpy==1.19.5
  4700. 2022-01-17 16:15:33,940:INFO:sklearn==0.23.2
  4701. 2022-01-17 16:15:33,940:INFO:lightgbm==3.3.2
  4702. 2022-01-17 16:15:33,941:WARNING:catboost not found
  4703. 2022-01-17 16:15:33,941:WARNING:xgboost not found
  4704. 2022-01-17 16:15:33,941:INFO:mlflow==1.22.0
  4705. 2022-01-17 16:15:33,942:INFO:Checking Exceptions
  4706. 2022-01-17 16:15:33,942:INFO:Declaring global variables
  4707. 2022-01-17 16:15:33,942:INFO:USI: bd4e
  4708. 2022-01-17 16:15:33,942:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  4709. 2022-01-17 16:15:33,942:INFO:Preparing display monitor
  4710. 2022-01-17 16:15:33,943:INFO:Preparing display monitor
  4711. 2022-01-17 16:15:33,954:INFO:Importing libraries
  4712. 2022-01-17 16:15:33,954:INFO:Copying data for preprocessing
  4713. 2022-01-17 16:15:33,962:INFO:Declaring preprocessing parameters
  4714. 2022-01-17 16:15:33,962:WARNING:cuML not found
  4715. 2022-01-17 16:15:33,963:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  4716. 2022-01-17 16:15:33,967:INFO:Creating preprocessing pipeline
  4717. 2022-01-17 16:15:34,012:INFO:Preprocessing pipeline created successfully
  4718. 2022-01-17 16:15:34,012:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  4719. 2022-01-17 16:15:34,013:INFO:Creating global containers
  4720. 2022-01-17 16:15:34,013:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  4721. 2022-01-17 16:15:37,107:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  4722. 2022-01-17 16:15:37,137:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  4723. 2022-01-17 16:15:37,138:WARNING:Couldn't import cuml.MBSGDClassifier
  4724. 2022-01-17 16:15:37,139:WARNING:Couldn't import cuml.svm.SVC
  4725. 2022-01-17 16:15:37,154:WARNING:Couldn't import cuml.linear_model
  4726. 2022-01-17 16:15:37,157:WARNING:Couldn't import cuml.ensemble
  4727. 2022-01-17 16:15:37,159:WARNING:Couldn't import xgboost.XGBClassifier
  4728. 2022-01-17 16:15:37,166:WARNING:Couldn't import catboost.CatBoostClassifier
  4729. 2022-01-17 16:15:37,167:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  4730. 2022-01-17 16:15:37,198:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  4731. 2022-01-17 16:15:37,199:WARNING:Couldn't import cuml.MBSGDClassifier
  4732. 2022-01-17 16:15:37,200:WARNING:Couldn't import cuml.svm.SVC
  4733. 2022-01-17 16:15:37,215:WARNING:Couldn't import cuml.linear_model
  4734. 2022-01-17 16:15:37,218:WARNING:Couldn't import cuml.ensemble
  4735. 2022-01-17 16:15:37,220:WARNING:Couldn't import xgboost.XGBClassifier
  4736. 2022-01-17 16:15:37,224:WARNING:Couldn't import catboost.CatBoostClassifier
  4737. 2022-01-17 16:15:37,224:INFO:Creating grid variables
  4738. 2022-01-17 16:15:37,237:INFO:create_model_container: 0
  4739. 2022-01-17 16:15:37,238:INFO:master_model_container: 0
  4740. 2022-01-17 16:15:37,238:INFO:display_container: 1
  4741. 2022-01-17 16:15:37,241:INFO:Pipeline(memory=None,
  4742. steps=[('dtypes',
  4743. DataTypes_Auto_infer(categorical_features=[],
  4744. display_types=True, features_todrop=[],
  4745. id_columns=[],
  4746. ml_usecase='classification',
  4747. numerical_features=[], target='label',
  4748. time_features=[])),
  4749. ('imputer',
  4750. Simple_Imputer(categorical_strategy='not_available',
  4751. fill_value_categorical=None,
  4752. fill_value_numerical=None,
  4753. numeric_strate...
  4754. target='label')),
  4755. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  4756. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  4757. ('dummy', Dummify(target='label')),
  4758. ('fix_perfect', Remove_100(target='label')),
  4759. ('clean_names', Clean_Colum_Names()),
  4760. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  4761. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  4762. verbose=False)
  4763. 2022-01-17 16:15:37,241:INFO:setup() succesfully completed......................................
  4764. 2022-01-17 16:15:52,465:INFO:Initializing compare_models()
  4765. 2022-01-17 16:15:52,465:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  4766. 2022-01-17 16:15:52,466:INFO:Checking exceptions
  4767. 2022-01-17 16:15:52,467:INFO:Preparing display monitor
  4768. 2022-01-17 16:15:52,467:INFO:Preparing display monitor
  4769. 2022-01-17 16:15:52,483:INFO:Initializing Logistic Regression
  4770. 2022-01-17 16:15:52,484:INFO:Total runtime is 5.070368448893229e-06 minutes
  4771. 2022-01-17 16:15:52,489:INFO:SubProcess create_model() called ==================================
  4772. 2022-01-17 16:15:52,489:INFO:Initializing create_model()
  4773. 2022-01-17 16:15:52,489:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4774. 2022-01-17 16:15:52,489:INFO:Checking exceptions
  4775. 2022-01-17 16:15:52,490:INFO:Importing libraries
  4776. 2022-01-17 16:15:52,490:INFO:Copying training dataset
  4777. 2022-01-17 16:15:52,491:INFO:Defining folds
  4778. 2022-01-17 16:15:52,491:INFO:Declaring metric variables
  4779. 2022-01-17 16:15:52,496:INFO:Importing untrained model
  4780. 2022-01-17 16:15:52,503:INFO:Logistic Regression Imported succesfully
  4781. 2022-01-17 16:15:52,514:INFO:Starting cross validation
  4782. 2022-01-17 16:15:52,515:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4783. 2022-01-17 16:16:01,519:INFO:Calculating mean and std
  4784. 2022-01-17 16:16:01,520:INFO:Creating metrics dataframe
  4785. 2022-01-17 16:16:01,527:INFO:Uploading results into container
  4786. 2022-01-17 16:16:01,527:INFO:Uploading model into container now
  4787. 2022-01-17 16:16:01,527:INFO:create_model_container: 1
  4788. 2022-01-17 16:16:01,528:INFO:master_model_container: 1
  4789. 2022-01-17 16:16:01,528:INFO:display_container: 2
  4790. 2022-01-17 16:16:01,529:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  4791. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  4792. multi_class='auto', n_jobs=None, penalty='l2',
  4793. random_state=2932, solver='lbfgs', tol=0.0001, verbose=0,
  4794. warm_start=False)
  4795. 2022-01-17 16:16:01,529:INFO:create_model() succesfully completed......................................
  4796. 2022-01-17 16:16:01,610:INFO:SubProcess create_model() end ==================================
  4797. 2022-01-17 16:16:01,611:INFO:Creating metrics dataframe
  4798. 2022-01-17 16:16:01,620:INFO:Initializing K Neighbors Classifier
  4799. 2022-01-17 16:16:01,621:INFO:Total runtime is 0.1522886912027995 minutes
  4800. 2022-01-17 16:16:01,626:INFO:SubProcess create_model() called ==================================
  4801. 2022-01-17 16:16:01,626:INFO:Initializing create_model()
  4802. 2022-01-17 16:16:01,627:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4803. 2022-01-17 16:16:01,627:INFO:Checking exceptions
  4804. 2022-01-17 16:16:01,627:INFO:Importing libraries
  4805. 2022-01-17 16:16:01,627:INFO:Copying training dataset
  4806. 2022-01-17 16:16:01,628:INFO:Defining folds
  4807. 2022-01-17 16:16:01,628:INFO:Declaring metric variables
  4808. 2022-01-17 16:16:01,633:INFO:Importing untrained model
  4809. 2022-01-17 16:16:01,638:INFO:K Neighbors Classifier Imported succesfully
  4810. 2022-01-17 16:16:01,647:INFO:Starting cross validation
  4811. 2022-01-17 16:16:01,648:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4812. 2022-01-17 16:16:18,763:INFO:Calculating mean and std
  4813. 2022-01-17 16:16:18,764:INFO:Creating metrics dataframe
  4814. 2022-01-17 16:16:18,767:INFO:Uploading results into container
  4815. 2022-01-17 16:16:18,767:INFO:Uploading model into container now
  4816. 2022-01-17 16:16:18,767:INFO:create_model_container: 2
  4817. 2022-01-17 16:16:18,768:INFO:master_model_container: 2
  4818. 2022-01-17 16:16:18,768:INFO:display_container: 2
  4819. 2022-01-17 16:16:18,768:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  4820. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  4821. weights='uniform')
  4822. 2022-01-17 16:16:18,768:INFO:create_model() succesfully completed......................................
  4823. 2022-01-17 16:16:18,845:INFO:SubProcess create_model() end ==================================
  4824. 2022-01-17 16:16:18,845:INFO:Creating metrics dataframe
  4825. 2022-01-17 16:16:18,856:INFO:Initializing Naive Bayes
  4826. 2022-01-17 16:16:18,856:INFO:Total runtime is 0.43954106569290163 minutes
  4827. 2022-01-17 16:16:18,861:INFO:SubProcess create_model() called ==================================
  4828. 2022-01-17 16:16:18,862:INFO:Initializing create_model()
  4829. 2022-01-17 16:16:18,862:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4830. 2022-01-17 16:16:18,862:INFO:Checking exceptions
  4831. 2022-01-17 16:16:18,862:INFO:Importing libraries
  4832. 2022-01-17 16:16:18,862:INFO:Copying training dataset
  4833. 2022-01-17 16:16:18,864:INFO:Defining folds
  4834. 2022-01-17 16:16:18,864:INFO:Declaring metric variables
  4835. 2022-01-17 16:16:18,869:INFO:Importing untrained model
  4836. 2022-01-17 16:16:18,874:INFO:Naive Bayes Imported succesfully
  4837. 2022-01-17 16:16:18,884:INFO:Starting cross validation
  4838. 2022-01-17 16:16:18,885:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4839. 2022-01-17 16:16:19,117:INFO:Calculating mean and std
  4840. 2022-01-17 16:16:19,118:INFO:Creating metrics dataframe
  4841. 2022-01-17 16:16:19,120:INFO:Uploading results into container
  4842. 2022-01-17 16:16:19,120:INFO:Uploading model into container now
  4843. 2022-01-17 16:16:19,121:INFO:create_model_container: 3
  4844. 2022-01-17 16:16:19,121:INFO:master_model_container: 3
  4845. 2022-01-17 16:16:19,121:INFO:display_container: 2
  4846. 2022-01-17 16:16:19,121:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  4847. 2022-01-17 16:16:19,121:INFO:create_model() succesfully completed......................................
  4848. 2022-01-17 16:16:19,188:INFO:SubProcess create_model() end ==================================
  4849. 2022-01-17 16:16:19,188:INFO:Creating metrics dataframe
  4850. 2022-01-17 16:16:19,199:INFO:Initializing Decision Tree Classifier
  4851. 2022-01-17 16:16:19,199:INFO:Total runtime is 0.4452617923418681 minutes
  4852. 2022-01-17 16:16:19,204:INFO:SubProcess create_model() called ==================================
  4853. 2022-01-17 16:16:19,205:INFO:Initializing create_model()
  4854. 2022-01-17 16:16:19,205:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4855. 2022-01-17 16:16:19,205:INFO:Checking exceptions
  4856. 2022-01-17 16:16:19,205:INFO:Importing libraries
  4857. 2022-01-17 16:16:19,205:INFO:Copying training dataset
  4858. 2022-01-17 16:16:19,206:INFO:Defining folds
  4859. 2022-01-17 16:16:19,207:INFO:Declaring metric variables
  4860. 2022-01-17 16:16:19,211:INFO:Importing untrained model
  4861. 2022-01-17 16:16:19,216:INFO:Decision Tree Classifier Imported succesfully
  4862. 2022-01-17 16:16:19,226:INFO:Starting cross validation
  4863. 2022-01-17 16:16:19,226:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4864. 2022-01-17 16:16:20,417:INFO:Calculating mean and std
  4865. 2022-01-17 16:16:20,418:INFO:Creating metrics dataframe
  4866. 2022-01-17 16:16:20,421:INFO:Uploading results into container
  4867. 2022-01-17 16:16:20,421:INFO:Uploading model into container now
  4868. 2022-01-17 16:16:20,421:INFO:create_model_container: 4
  4869. 2022-01-17 16:16:20,421:INFO:master_model_container: 4
  4870. 2022-01-17 16:16:20,421:INFO:display_container: 2
  4871. 2022-01-17 16:16:20,422:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  4872. max_depth=None, max_features=None, max_leaf_nodes=None,
  4873. min_impurity_decrease=0.0, min_impurity_split=None,
  4874. min_samples_leaf=1, min_samples_split=2,
  4875. min_weight_fraction_leaf=0.0, presort='deprecated',
  4876. random_state=2932, splitter='best')
  4877. 2022-01-17 16:16:20,422:INFO:create_model() succesfully completed......................................
  4878. 2022-01-17 16:16:20,493:INFO:SubProcess create_model() end ==================================
  4879. 2022-01-17 16:16:20,493:INFO:Creating metrics dataframe
  4880. 2022-01-17 16:16:20,504:INFO:Initializing SVM - Linear Kernel
  4881. 2022-01-17 16:16:20,504:INFO:Total runtime is 0.46700976689656576 minutes
  4882. 2022-01-17 16:16:20,509:INFO:SubProcess create_model() called ==================================
  4883. 2022-01-17 16:16:20,510:INFO:Initializing create_model()
  4884. 2022-01-17 16:16:20,510:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4885. 2022-01-17 16:16:20,510:INFO:Checking exceptions
  4886. 2022-01-17 16:16:20,510:INFO:Importing libraries
  4887. 2022-01-17 16:16:20,511:INFO:Copying training dataset
  4888. 2022-01-17 16:16:20,512:INFO:Defining folds
  4889. 2022-01-17 16:16:20,512:INFO:Declaring metric variables
  4890. 2022-01-17 16:16:20,517:INFO:Importing untrained model
  4891. 2022-01-17 16:16:20,522:INFO:SVM - Linear Kernel Imported succesfully
  4892. 2022-01-17 16:16:20,532:INFO:Starting cross validation
  4893. 2022-01-17 16:16:20,532:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4894. 2022-01-17 16:16:21,849:INFO:Calculating mean and std
  4895. 2022-01-17 16:16:21,851:INFO:Creating metrics dataframe
  4896. 2022-01-17 16:16:21,856:INFO:Uploading results into container
  4897. 2022-01-17 16:16:21,858:INFO:Uploading model into container now
  4898. 2022-01-17 16:16:21,862:INFO:create_model_container: 5
  4899. 2022-01-17 16:16:21,864:INFO:master_model_container: 5
  4900. 2022-01-17 16:16:21,865:INFO:display_container: 2
  4901. 2022-01-17 16:16:21,865:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  4902. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  4903. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  4904. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  4905. power_t=0.5, random_state=2932, shuffle=True, tol=0.001,
  4906. validation_fraction=0.1, verbose=0, warm_start=False)
  4907. 2022-01-17 16:16:21,868:INFO:create_model() succesfully completed......................................
  4908. 2022-01-17 16:16:21,954:INFO:SubProcess create_model() end ==================================
  4909. 2022-01-17 16:16:21,954:INFO:Creating metrics dataframe
  4910. 2022-01-17 16:16:21,966:INFO:Initializing Ridge Classifier
  4911. 2022-01-17 16:16:21,967:INFO:Total runtime is 0.49138774871826174 minutes
  4912. 2022-01-17 16:16:21,972:INFO:SubProcess create_model() called ==================================
  4913. 2022-01-17 16:16:21,972:INFO:Initializing create_model()
  4914. 2022-01-17 16:16:21,972:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4915. 2022-01-17 16:16:21,972:INFO:Checking exceptions
  4916. 2022-01-17 16:16:21,973:INFO:Importing libraries
  4917. 2022-01-17 16:16:21,973:INFO:Copying training dataset
  4918. 2022-01-17 16:16:21,974:INFO:Defining folds
  4919. 2022-01-17 16:16:21,974:INFO:Declaring metric variables
  4920. 2022-01-17 16:16:21,979:INFO:Importing untrained model
  4921. 2022-01-17 16:16:21,984:INFO:Ridge Classifier Imported succesfully
  4922. 2022-01-17 16:16:21,994:INFO:Starting cross validation
  4923. 2022-01-17 16:16:21,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4924. 2022-01-17 16:16:22,546:INFO:Calculating mean and std
  4925. 2022-01-17 16:16:22,548:INFO:Creating metrics dataframe
  4926. 2022-01-17 16:16:22,553:INFO:Uploading results into container
  4927. 2022-01-17 16:16:22,553:INFO:Uploading model into container now
  4928. 2022-01-17 16:16:22,555:INFO:create_model_container: 6
  4929. 2022-01-17 16:16:22,555:INFO:master_model_container: 6
  4930. 2022-01-17 16:16:22,556:INFO:display_container: 2
  4931. 2022-01-17 16:16:22,558:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  4932. max_iter=None, normalize=False, random_state=2932,
  4933. solver='auto', tol=0.001)
  4934. 2022-01-17 16:16:22,559:INFO:create_model() succesfully completed......................................
  4935. 2022-01-17 16:16:22,650:INFO:SubProcess create_model() end ==================================
  4936. 2022-01-17 16:16:22,650:INFO:Creating metrics dataframe
  4937. 2022-01-17 16:16:22,661:INFO:Initializing Random Forest Classifier
  4938. 2022-01-17 16:16:22,661:INFO:Total runtime is 0.5029676636060079 minutes
  4939. 2022-01-17 16:16:22,667:INFO:SubProcess create_model() called ==================================
  4940. 2022-01-17 16:16:22,667:INFO:Initializing create_model()
  4941. 2022-01-17 16:16:22,667:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4942. 2022-01-17 16:16:22,667:INFO:Checking exceptions
  4943. 2022-01-17 16:16:22,667:INFO:Importing libraries
  4944. 2022-01-17 16:16:22,668:INFO:Copying training dataset
  4945. 2022-01-17 16:16:22,669:INFO:Defining folds
  4946. 2022-01-17 16:16:22,669:INFO:Declaring metric variables
  4947. 2022-01-17 16:16:22,674:INFO:Importing untrained model
  4948. 2022-01-17 16:16:22,679:INFO:Random Forest Classifier Imported succesfully
  4949. 2022-01-17 16:16:22,690:INFO:Starting cross validation
  4950. 2022-01-17 16:16:22,690:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4951. 2022-01-17 16:16:29,214:INFO:Calculating mean and std
  4952. 2022-01-17 16:16:29,215:INFO:Creating metrics dataframe
  4953. 2022-01-17 16:16:29,217:INFO:Uploading results into container
  4954. 2022-01-17 16:16:29,218:INFO:Uploading model into container now
  4955. 2022-01-17 16:16:29,218:INFO:create_model_container: 7
  4956. 2022-01-17 16:16:29,218:INFO:master_model_container: 7
  4957. 2022-01-17 16:16:29,218:INFO:display_container: 2
  4958. 2022-01-17 16:16:29,218:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  4959. criterion='gini', max_depth=None, max_features='auto',
  4960. max_leaf_nodes=None, max_samples=None,
  4961. min_impurity_decrease=0.0, min_impurity_split=None,
  4962. min_samples_leaf=1, min_samples_split=2,
  4963. min_weight_fraction_leaf=0.0, n_estimators=100,
  4964. n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
  4965. warm_start=False)
  4966. 2022-01-17 16:16:29,219:INFO:create_model() succesfully completed......................................
  4967. 2022-01-17 16:16:29,294:INFO:SubProcess create_model() end ==================================
  4968. 2022-01-17 16:16:29,295:INFO:Creating metrics dataframe
  4969. 2022-01-17 16:16:29,306:INFO:Initializing Quadratic Discriminant Analysis
  4970. 2022-01-17 16:16:29,306:INFO:Total runtime is 0.6137184937795003 minutes
  4971. 2022-01-17 16:16:29,312:INFO:SubProcess create_model() called ==================================
  4972. 2022-01-17 16:16:29,312:INFO:Initializing create_model()
  4973. 2022-01-17 16:16:29,312:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  4974. 2022-01-17 16:16:29,312:INFO:Checking exceptions
  4975. 2022-01-17 16:16:29,313:INFO:Importing libraries
  4976. 2022-01-17 16:16:29,313:INFO:Copying training dataset
  4977. 2022-01-17 16:16:29,314:INFO:Defining folds
  4978. 2022-01-17 16:16:29,314:INFO:Declaring metric variables
  4979. 2022-01-17 16:16:29,319:INFO:Importing untrained model
  4980. 2022-01-17 16:16:29,323:INFO:Quadratic Discriminant Analysis Imported succesfully
  4981. 2022-01-17 16:16:29,333:INFO:Starting cross validation
  4982. 2022-01-17 16:16:29,334:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  4983. 2022-01-17 16:16:30,168:INFO:Calculating mean and std
  4984. 2022-01-17 16:16:30,170:INFO:Creating metrics dataframe
  4985. 2022-01-17 16:16:30,177:INFO:Uploading results into container
  4986. 2022-01-17 16:16:30,178:INFO:Uploading model into container now
  4987. 2022-01-17 16:16:30,179:INFO:create_model_container: 8
  4988. 2022-01-17 16:16:30,179:INFO:master_model_container: 8
  4989. 2022-01-17 16:16:30,180:INFO:display_container: 2
  4990. 2022-01-17 16:16:30,180:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  4991. store_covariance=False, tol=0.0001)
  4992. 2022-01-17 16:16:30,181:INFO:create_model() succesfully completed......................................
  4993. 2022-01-17 16:16:30,265:INFO:SubProcess create_model() end ==================================
  4994. 2022-01-17 16:16:30,266:INFO:Creating metrics dataframe
  4995. 2022-01-17 16:16:30,278:INFO:Initializing Ada Boost Classifier
  4996. 2022-01-17 16:16:30,278:INFO:Total runtime is 0.6299135565757751 minutes
  4997. 2022-01-17 16:16:30,283:INFO:SubProcess create_model() called ==================================
  4998. 2022-01-17 16:16:30,284:INFO:Initializing create_model()
  4999. 2022-01-17 16:16:30,284:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5000. 2022-01-17 16:16:30,284:INFO:Checking exceptions
  5001. 2022-01-17 16:16:30,285:INFO:Importing libraries
  5002. 2022-01-17 16:16:30,285:INFO:Copying training dataset
  5003. 2022-01-17 16:16:30,286:INFO:Defining folds
  5004. 2022-01-17 16:16:30,286:INFO:Declaring metric variables
  5005. 2022-01-17 16:16:30,291:INFO:Importing untrained model
  5006. 2022-01-17 16:16:30,296:INFO:Ada Boost Classifier Imported succesfully
  5007. 2022-01-17 16:16:30,306:INFO:Starting cross validation
  5008. 2022-01-17 16:16:30,306:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5009. 2022-01-17 16:16:38,093:INFO:Calculating mean and std
  5010. 2022-01-17 16:16:38,094:INFO:Creating metrics dataframe
  5011. 2022-01-17 16:16:38,096:INFO:Uploading results into container
  5012. 2022-01-17 16:16:38,096:INFO:Uploading model into container now
  5013. 2022-01-17 16:16:38,097:INFO:create_model_container: 9
  5014. 2022-01-17 16:16:38,097:INFO:master_model_container: 9
  5015. 2022-01-17 16:16:38,097:INFO:display_container: 2
  5016. 2022-01-17 16:16:38,097:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  5017. n_estimators=50, random_state=2932)
  5018. 2022-01-17 16:16:38,097:INFO:create_model() succesfully completed......................................
  5019. 2022-01-17 16:16:38,167:INFO:SubProcess create_model() end ==================================
  5020. 2022-01-17 16:16:38,167:INFO:Creating metrics dataframe
  5021. 2022-01-17 16:16:38,180:INFO:Initializing Gradient Boosting Classifier
  5022. 2022-01-17 16:16:38,180:INFO:Total runtime is 0.7616098801294962 minutes
  5023. 2022-01-17 16:16:38,185:INFO:SubProcess create_model() called ==================================
  5024. 2022-01-17 16:16:38,186:INFO:Initializing create_model()
  5025. 2022-01-17 16:16:38,186:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5026. 2022-01-17 16:16:38,186:INFO:Checking exceptions
  5027. 2022-01-17 16:16:38,186:INFO:Importing libraries
  5028. 2022-01-17 16:16:38,186:INFO:Copying training dataset
  5029. 2022-01-17 16:16:38,187:INFO:Defining folds
  5030. 2022-01-17 16:16:38,187:INFO:Declaring metric variables
  5031. 2022-01-17 16:16:38,192:INFO:Importing untrained model
  5032. 2022-01-17 16:16:38,197:INFO:Gradient Boosting Classifier Imported succesfully
  5033. 2022-01-17 16:16:38,207:INFO:Starting cross validation
  5034. 2022-01-17 16:16:38,208:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5035. 2022-01-17 16:17:05,514:INFO:Calculating mean and std
  5036. 2022-01-17 16:17:05,515:INFO:Creating metrics dataframe
  5037. 2022-01-17 16:17:05,517:INFO:Uploading results into container
  5038. 2022-01-17 16:17:05,518:INFO:Uploading model into container now
  5039. 2022-01-17 16:17:05,518:INFO:create_model_container: 10
  5040. 2022-01-17 16:17:05,518:INFO:master_model_container: 10
  5041. 2022-01-17 16:17:05,518:INFO:display_container: 2
  5042. 2022-01-17 16:17:05,518:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  5043. learning_rate=0.1, loss='deviance', max_depth=3,
  5044. max_features=None, max_leaf_nodes=None,
  5045. min_impurity_decrease=0.0, min_impurity_split=None,
  5046. min_samples_leaf=1, min_samples_split=2,
  5047. min_weight_fraction_leaf=0.0, n_estimators=100,
  5048. n_iter_no_change=None, presort='deprecated',
  5049. random_state=2932, subsample=1.0, tol=0.0001,
  5050. validation_fraction=0.1, verbose=0,
  5051. warm_start=False)
  5052. 2022-01-17 16:17:05,519:INFO:create_model() succesfully completed......................................
  5053. 2022-01-17 16:17:05,594:INFO:SubProcess create_model() end ==================================
  5054. 2022-01-17 16:17:05,594:INFO:Creating metrics dataframe
  5055. 2022-01-17 16:17:05,607:INFO:Initializing Linear Discriminant Analysis
  5056. 2022-01-17 16:17:05,607:INFO:Total runtime is 1.218723444143931 minutes
  5057. 2022-01-17 16:17:05,612:INFO:SubProcess create_model() called ==================================
  5058. 2022-01-17 16:17:05,612:INFO:Initializing create_model()
  5059. 2022-01-17 16:17:05,613:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5060. 2022-01-17 16:17:05,613:INFO:Checking exceptions
  5061. 2022-01-17 16:17:05,613:INFO:Importing libraries
  5062. 2022-01-17 16:17:05,613:INFO:Copying training dataset
  5063. 2022-01-17 16:17:05,614:INFO:Defining folds
  5064. 2022-01-17 16:17:05,614:INFO:Declaring metric variables
  5065. 2022-01-17 16:17:05,619:INFO:Importing untrained model
  5066. 2022-01-17 16:17:05,624:INFO:Linear Discriminant Analysis Imported succesfully
  5067. 2022-01-17 16:17:05,634:INFO:Starting cross validation
  5068. 2022-01-17 16:17:05,635:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5069. 2022-01-17 16:17:07,409:INFO:Calculating mean and std
  5070. 2022-01-17 16:17:07,410:INFO:Creating metrics dataframe
  5071. 2022-01-17 16:17:07,414:INFO:Uploading results into container
  5072. 2022-01-17 16:17:07,414:INFO:Uploading model into container now
  5073. 2022-01-17 16:17:07,414:INFO:create_model_container: 11
  5074. 2022-01-17 16:17:07,415:INFO:master_model_container: 11
  5075. 2022-01-17 16:17:07,415:INFO:display_container: 2
  5076. 2022-01-17 16:17:07,415:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  5077. solver='svd', store_covariance=False, tol=0.0001)
  5078. 2022-01-17 16:17:07,415:INFO:create_model() succesfully completed......................................
  5079. 2022-01-17 16:17:07,513:INFO:SubProcess create_model() end ==================================
  5080. 2022-01-17 16:17:07,513:INFO:Creating metrics dataframe
  5081. 2022-01-17 16:17:07,526:INFO:Initializing Extra Trees Classifier
  5082. 2022-01-17 16:17:07,526:INFO:Total runtime is 1.2507105032602945 minutes
  5083. 2022-01-17 16:17:07,531:INFO:SubProcess create_model() called ==================================
  5084. 2022-01-17 16:17:07,531:INFO:Initializing create_model()
  5085. 2022-01-17 16:17:07,532:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5086. 2022-01-17 16:17:07,532:INFO:Checking exceptions
  5087. 2022-01-17 16:17:07,532:INFO:Importing libraries
  5088. 2022-01-17 16:17:07,532:INFO:Copying training dataset
  5089. 2022-01-17 16:17:07,533:INFO:Defining folds
  5090. 2022-01-17 16:17:07,534:INFO:Declaring metric variables
  5091. 2022-01-17 16:17:07,538:INFO:Importing untrained model
  5092. 2022-01-17 16:17:07,543:INFO:Extra Trees Classifier Imported succesfully
  5093. 2022-01-17 16:17:07,554:INFO:Starting cross validation
  5094. 2022-01-17 16:17:07,555:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5095. 2022-01-17 16:17:14,192:INFO:Calculating mean and std
  5096. 2022-01-17 16:17:14,193:INFO:Creating metrics dataframe
  5097. 2022-01-17 16:17:14,196:INFO:Uploading results into container
  5098. 2022-01-17 16:17:14,196:INFO:Uploading model into container now
  5099. 2022-01-17 16:17:14,196:INFO:create_model_container: 12
  5100. 2022-01-17 16:17:14,196:INFO:master_model_container: 12
  5101. 2022-01-17 16:17:14,196:INFO:display_container: 2
  5102. 2022-01-17 16:17:14,197:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  5103. criterion='gini', max_depth=None, max_features='auto',
  5104. max_leaf_nodes=None, max_samples=None,
  5105. min_impurity_decrease=0.0, min_impurity_split=None,
  5106. min_samples_leaf=1, min_samples_split=2,
  5107. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  5108. oob_score=False, random_state=2932, verbose=0,
  5109. warm_start=False)
  5110. 2022-01-17 16:17:14,197:INFO:create_model() succesfully completed......................................
  5111. 2022-01-17 16:17:14,274:INFO:SubProcess create_model() end ==================================
  5112. 2022-01-17 16:17:14,275:INFO:Creating metrics dataframe
  5113. 2022-01-17 16:17:14,288:INFO:Initializing Light Gradient Boosting Machine
  5114. 2022-01-17 16:17:14,289:INFO:Total runtime is 1.3634196678797403 minutes
  5115. 2022-01-17 16:17:14,295:INFO:SubProcess create_model() called ==================================
  5116. 2022-01-17 16:17:14,295:INFO:Initializing create_model()
  5117. 2022-01-17 16:17:14,295:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5118. 2022-01-17 16:17:14,295:INFO:Checking exceptions
  5119. 2022-01-17 16:17:14,296:INFO:Importing libraries
  5120. 2022-01-17 16:17:14,296:INFO:Copying training dataset
  5121. 2022-01-17 16:17:14,297:INFO:Defining folds
  5122. 2022-01-17 16:17:14,297:INFO:Declaring metric variables
  5123. 2022-01-17 16:17:14,302:INFO:Importing untrained model
  5124. 2022-01-17 16:17:14,307:INFO:Light Gradient Boosting Machine Imported succesfully
  5125. 2022-01-17 16:17:14,319:INFO:Starting cross validation
  5126. 2022-01-17 16:17:14,319:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5127. 2022-01-17 16:17:18,130:INFO:Calculating mean and std
  5128. 2022-01-17 16:17:18,131:INFO:Creating metrics dataframe
  5129. 2022-01-17 16:17:18,134:INFO:Uploading results into container
  5130. 2022-01-17 16:17:18,134:INFO:Uploading model into container now
  5131. 2022-01-17 16:17:18,134:INFO:create_model_container: 13
  5132. 2022-01-17 16:17:18,134:INFO:master_model_container: 13
  5133. 2022-01-17 16:17:18,135:INFO:display_container: 2
  5134. 2022-01-17 16:17:18,135:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  5135. importance_type='split', learning_rate=0.1, max_depth=-1,
  5136. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  5137. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  5138. random_state=2932, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  5139. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  5140. 2022-01-17 16:17:18,135:INFO:create_model() succesfully completed......................................
  5141. 2022-01-17 16:17:18,218:INFO:SubProcess create_model() end ==================================
  5142. 2022-01-17 16:17:18,218:INFO:Creating metrics dataframe
  5143. 2022-01-17 16:17:18,231:INFO:Initializing Dummy Classifier
  5144. 2022-01-17 16:17:18,231:INFO:Total runtime is 1.429133172829946 minutes
  5145. 2022-01-17 16:17:18,237:INFO:SubProcess create_model() called ==================================
  5146. 2022-01-17 16:17:18,237:INFO:Initializing create_model()
  5147. 2022-01-17 16:17:18,237:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858446c610>, kwargs={})
  5148. 2022-01-17 16:17:18,238:INFO:Checking exceptions
  5149. 2022-01-17 16:17:18,238:INFO:Importing libraries
  5150. 2022-01-17 16:17:18,238:INFO:Copying training dataset
  5151. 2022-01-17 16:17:18,239:INFO:Defining folds
  5152. 2022-01-17 16:17:18,240:INFO:Declaring metric variables
  5153. 2022-01-17 16:17:18,245:INFO:Importing untrained model
  5154. 2022-01-17 16:17:18,250:INFO:Dummy Classifier Imported succesfully
  5155. 2022-01-17 16:17:18,260:INFO:Starting cross validation
  5156. 2022-01-17 16:17:18,260:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5157. 2022-01-17 16:17:18,373:INFO:Calculating mean and std
  5158. 2022-01-17 16:17:18,374:INFO:Creating metrics dataframe
  5159. 2022-01-17 16:17:18,377:INFO:Uploading results into container
  5160. 2022-01-17 16:17:18,377:INFO:Uploading model into container now
  5161. 2022-01-17 16:17:18,378:INFO:create_model_container: 14
  5162. 2022-01-17 16:17:18,378:INFO:master_model_container: 14
  5163. 2022-01-17 16:17:18,378:INFO:display_container: 2
  5164. 2022-01-17 16:17:18,378:INFO:DummyClassifier(constant=None, random_state=2932, strategy='prior')
  5165. 2022-01-17 16:17:18,378:INFO:create_model() succesfully completed......................................
  5166. 2022-01-17 16:17:18,447:INFO:SubProcess create_model() end ==================================
  5167. 2022-01-17 16:17:18,447:INFO:Creating metrics dataframe
  5168. 2022-01-17 16:17:18,472:INFO:Initializing create_model()
  5169. 2022-01-17 16:17:18,472:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5170. criterion='gini', max_depth=None, max_features='auto',
  5171. max_leaf_nodes=None, max_samples=None,
  5172. min_impurity_decrease=0.0, min_impurity_split=None,
  5173. min_samples_leaf=1, min_samples_split=2,
  5174. min_weight_fraction_leaf=0.0, n_estimators=100,
  5175. n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
  5176. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  5177. 2022-01-17 16:17:18,472:INFO:Checking exceptions
  5178. 2022-01-17 16:17:18,472:INFO:Importing libraries
  5179. 2022-01-17 16:17:18,473:INFO:Copying training dataset
  5180. 2022-01-17 16:17:18,473:INFO:Defining folds
  5181. 2022-01-17 16:17:18,474:INFO:Declaring metric variables
  5182. 2022-01-17 16:17:18,474:INFO:Importing untrained model
  5183. 2022-01-17 16:17:18,474:INFO:Declaring custom model
  5184. 2022-01-17 16:17:18,474:INFO:Random Forest Classifier Imported succesfully
  5185. 2022-01-17 16:17:18,475:INFO:Cross validation set to False
  5186. 2022-01-17 16:17:18,475:INFO:Fitting Model
  5187. 2022-01-17 16:17:18,854:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5188. criterion='gini', max_depth=None, max_features='auto',
  5189. max_leaf_nodes=None, max_samples=None,
  5190. min_impurity_decrease=0.0, min_impurity_split=None,
  5191. min_samples_leaf=1, min_samples_split=2,
  5192. min_weight_fraction_leaf=0.0, n_estimators=100,
  5193. n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
  5194. warm_start=False)
  5195. 2022-01-17 16:17:18,854:INFO:create_models() succesfully completed......................................
  5196. 2022-01-17 16:17:18,955:INFO:create_model_container: 14
  5197. 2022-01-17 16:17:18,956:INFO:master_model_container: 14
  5198. 2022-01-17 16:17:18,956:INFO:display_container: 2
  5199. 2022-01-17 16:17:18,956:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5200. criterion='gini', max_depth=None, max_features='auto',
  5201. max_leaf_nodes=None, max_samples=None,
  5202. min_impurity_decrease=0.0, min_impurity_split=None,
  5203. min_samples_leaf=1, min_samples_split=2,
  5204. min_weight_fraction_leaf=0.0, n_estimators=100,
  5205. n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
  5206. warm_start=False)
  5207. 2022-01-17 16:17:18,956:INFO:compare_models() succesfully completed......................................
  5208. 2022-01-17 16:17:33,729:INFO:Initializing create_model()
  5209. 2022-01-17 16:17:33,729:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  5210. 2022-01-17 16:17:33,729:INFO:Checking exceptions
  5211. 2022-01-17 16:17:33,730:INFO:Preparing display monitor
  5212. 2022-01-17 16:17:33,741:INFO:Importing libraries
  5213. 2022-01-17 16:17:33,741:INFO:Copying training dataset
  5214. 2022-01-17 16:17:33,742:INFO:Defining folds
  5215. 2022-01-17 16:17:33,742:INFO:Declaring metric variables
  5216. 2022-01-17 16:17:33,747:INFO:Importing untrained model
  5217. 2022-01-17 16:17:33,753:INFO:Decision Tree Classifier Imported succesfully
  5218. 2022-01-17 16:17:33,764:INFO:Starting cross validation
  5219. 2022-01-17 16:17:33,764:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5220. 2022-01-17 16:17:34,955:INFO:Calculating mean and std
  5221. 2022-01-17 16:17:34,956:INFO:Creating metrics dataframe
  5222. 2022-01-17 16:17:34,964:INFO:Finalizing model
  5223. 2022-01-17 16:17:35,090:INFO:Uploading results into container
  5224. 2022-01-17 16:17:35,091:INFO:Uploading model into container now
  5225. 2022-01-17 16:17:35,101:INFO:create_model_container: 15
  5226. 2022-01-17 16:17:35,101:INFO:master_model_container: 15
  5227. 2022-01-17 16:17:35,101:INFO:display_container: 3
  5228. 2022-01-17 16:17:35,102:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5229. max_depth=None, max_features=None, max_leaf_nodes=None,
  5230. min_impurity_decrease=0.0, min_impurity_split=None,
  5231. min_samples_leaf=1, min_samples_split=2,
  5232. min_weight_fraction_leaf=0.0, presort='deprecated',
  5233. random_state=2932, splitter='best')
  5234. 2022-01-17 16:17:35,102:INFO:create_model() succesfully completed......................................
  5235. 2022-01-17 16:17:48,039:INFO:Initializing evaluate_model()
  5236. 2022-01-17 16:17:48,039:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5237. max_depth=None, max_features=None, max_leaf_nodes=None,
  5238. min_impurity_decrease=0.0, min_impurity_split=None,
  5239. min_samples_leaf=1, min_samples_split=2,
  5240. min_weight_fraction_leaf=0.0, presort='deprecated',
  5241. random_state=2932, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  5242. 2022-01-17 16:17:48,051:INFO:Initializing plot_model()
  5243. 2022-01-17 16:17:48,051:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5244. max_depth=None, max_features=None, max_leaf_nodes=None,
  5245. min_impurity_decrease=0.0, min_impurity_split=None,
  5246. min_samples_leaf=1, min_samples_split=2,
  5247. min_weight_fraction_leaf=0.0, presort='deprecated',
  5248. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  5249. 2022-01-17 16:17:48,051:INFO:Checking exceptions
  5250. 2022-01-17 16:17:48,052:INFO:Preparing display monitor
  5251. 2022-01-17 16:17:48,056:INFO:Preloading libraries
  5252. 2022-01-17 16:17:48,057:INFO:Copying training dataset
  5253. 2022-01-17 16:17:48,058:INFO:Copying test dataset
  5254. 2022-01-17 16:17:48,059:INFO:Plot type: parameter
  5255. 2022-01-17 16:17:48,064:INFO:Visual Rendered Successfully
  5256. 2022-01-17 16:17:48,141:INFO:plot_model() succesfully completed......................................
  5257. 2022-01-17 16:17:50,658:INFO:Initializing plot_model()
  5258. 2022-01-17 16:17:50,658:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5259. max_depth=None, max_features=None, max_leaf_nodes=None,
  5260. min_impurity_decrease=0.0, min_impurity_split=None,
  5261. min_samples_leaf=1, min_samples_split=2,
  5262. min_weight_fraction_leaf=0.0, presort='deprecated',
  5263. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  5264. 2022-01-17 16:17:50,658:INFO:Checking exceptions
  5265. 2022-01-17 16:17:50,659:INFO:Preparing display monitor
  5266. 2022-01-17 16:17:50,664:INFO:Preloading libraries
  5267. 2022-01-17 16:17:50,665:INFO:Copying training dataset
  5268. 2022-01-17 16:17:50,666:INFO:Copying test dataset
  5269. 2022-01-17 16:17:50,667:INFO:Plot type: confusion_matrix
  5270. 2022-01-17 16:17:50,668:INFO:Initializing get_config()
  5271. 2022-01-17 16:17:50,668:INFO:get_config(variable=prep_pipe)
  5272. 2022-01-17 16:17:50,672:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  5273. steps=[('dtypes',
  5274. DataTypes_Auto_infer(categorical_features=[],
  5275. display_types=True, features_todrop=[],
  5276. id_columns=[],
  5277. ml_usecase='classification',
  5278. numerical_features=[], target='label',
  5279. time_features=[])),
  5280. ('imputer',
  5281. Simple_Imputer(categorical_strategy='not_available',
  5282. fill_value_categorical=None,
  5283. fill_value_numerical=None,
  5284. numeric_strate...
  5285. target='label')),
  5286. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  5287. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  5288. ('dummy', Dummify(target='label')),
  5289. ('fix_perfect', Remove_100(target='label')),
  5290. ('clean_names', Clean_Colum_Names()),
  5291. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  5292. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  5293. verbose=False)
  5294. 2022-01-17 16:17:50,672:INFO:get_config() succesfully completed......................................
  5295. 2022-01-17 16:17:50,673:INFO:Fitting Model
  5296. 2022-01-17 16:17:50,674:INFO:Scoring test/hold-out set
  5297. 2022-01-17 16:17:50,761:INFO:Visual Rendered Successfully
  5298. 2022-01-17 16:17:50,831:INFO:plot_model() succesfully completed......................................
  5299. 2022-01-17 16:18:01,358:INFO:Initializing plot_model()
  5300. 2022-01-17 16:18:01,358:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5301. max_depth=None, max_features=None, max_leaf_nodes=None,
  5302. min_impurity_decrease=0.0, min_impurity_split=None,
  5303. min_samples_leaf=1, min_samples_split=2,
  5304. min_weight_fraction_leaf=0.0, presort='deprecated',
  5305. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  5306. 2022-01-17 16:18:01,358:INFO:Checking exceptions
  5307. 2022-01-17 16:18:01,359:INFO:Preparing display monitor
  5308. 2022-01-17 16:18:01,363:INFO:Preloading libraries
  5309. 2022-01-17 16:18:01,364:INFO:Copying training dataset
  5310. 2022-01-17 16:18:01,365:INFO:Copying test dataset
  5311. 2022-01-17 16:18:01,365:INFO:Plot type: pr
  5312. 2022-01-17 16:18:01,366:INFO:Fitting Model
  5313. 2022-01-17 16:18:01,368:INFO:Scoring test/hold-out set
  5314. 2022-01-17 16:18:01,454:INFO:Visual Rendered Successfully
  5315. 2022-01-17 16:18:01,529:INFO:plot_model() succesfully completed......................................
  5316. 2022-01-17 16:18:03,783:INFO:Initializing plot_model()
  5317. 2022-01-17 16:18:03,784:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5318. max_depth=None, max_features=None, max_leaf_nodes=None,
  5319. min_impurity_decrease=0.0, min_impurity_split=None,
  5320. min_samples_leaf=1, min_samples_split=2,
  5321. min_weight_fraction_leaf=0.0, presort='deprecated',
  5322. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  5323. 2022-01-17 16:18:03,784:INFO:Checking exceptions
  5324. 2022-01-17 16:18:03,785:INFO:Preparing display monitor
  5325. 2022-01-17 16:18:03,788:INFO:Preloading libraries
  5326. 2022-01-17 16:18:03,789:INFO:Copying training dataset
  5327. 2022-01-17 16:18:03,790:INFO:Copying test dataset
  5328. 2022-01-17 16:18:03,790:INFO:Plot type: error
  5329. 2022-01-17 16:18:03,791:INFO:Initializing get_config()
  5330. 2022-01-17 16:18:03,791:INFO:get_config(variable=prep_pipe)
  5331. 2022-01-17 16:18:03,794:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  5332. steps=[('dtypes',
  5333. DataTypes_Auto_infer(categorical_features=[],
  5334. display_types=True, features_todrop=[],
  5335. id_columns=[],
  5336. ml_usecase='classification',
  5337. numerical_features=[], target='label',
  5338. time_features=[])),
  5339. ('imputer',
  5340. Simple_Imputer(categorical_strategy='not_available',
  5341. fill_value_categorical=None,
  5342. fill_value_numerical=None,
  5343. numeric_strate...
  5344. target='label')),
  5345. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  5346. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  5347. ('dummy', Dummify(target='label')),
  5348. ('fix_perfect', Remove_100(target='label')),
  5349. ('clean_names', Clean_Colum_Names()),
  5350. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  5351. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  5352. verbose=False)
  5353. 2022-01-17 16:18:03,795:INFO:get_config() succesfully completed......................................
  5354. 2022-01-17 16:18:03,795:INFO:Fitting Model
  5355. 2022-01-17 16:18:03,796:INFO:Scoring test/hold-out set
  5356. 2022-01-17 16:18:03,890:INFO:Visual Rendered Successfully
  5357. 2022-01-17 16:18:03,965:INFO:plot_model() succesfully completed......................................
  5358. 2022-01-17 16:18:07,067:INFO:Initializing plot_model()
  5359. 2022-01-17 16:18:07,067:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5360. max_depth=None, max_features=None, max_leaf_nodes=None,
  5361. min_impurity_decrease=0.0, min_impurity_split=None,
  5362. min_samples_leaf=1, min_samples_split=2,
  5363. min_weight_fraction_leaf=0.0, presort='deprecated',
  5364. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  5365. 2022-01-17 16:18:07,068:INFO:Checking exceptions
  5366. 2022-01-17 16:18:07,068:INFO:Preparing display monitor
  5367. 2022-01-17 16:18:07,073:INFO:Preloading libraries
  5368. 2022-01-17 16:18:07,074:INFO:Copying training dataset
  5369. 2022-01-17 16:18:07,075:INFO:Copying test dataset
  5370. 2022-01-17 16:18:07,075:INFO:Plot type: class_report
  5371. 2022-01-17 16:18:07,076:INFO:Initializing get_config()
  5372. 2022-01-17 16:18:07,076:INFO:get_config(variable=prep_pipe)
  5373. 2022-01-17 16:18:07,079:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  5374. steps=[('dtypes',
  5375. DataTypes_Auto_infer(categorical_features=[],
  5376. display_types=True, features_todrop=[],
  5377. id_columns=[],
  5378. ml_usecase='classification',
  5379. numerical_features=[], target='label',
  5380. time_features=[])),
  5381. ('imputer',
  5382. Simple_Imputer(categorical_strategy='not_available',
  5383. fill_value_categorical=None,
  5384. fill_value_numerical=None,
  5385. numeric_strate...
  5386. target='label')),
  5387. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  5388. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  5389. ('dummy', Dummify(target='label')),
  5390. ('fix_perfect', Remove_100(target='label')),
  5391. ('clean_names', Clean_Colum_Names()),
  5392. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  5393. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  5394. verbose=False)
  5395. 2022-01-17 16:18:07,079:INFO:get_config() succesfully completed......................................
  5396. 2022-01-17 16:18:07,080:INFO:Fitting Model
  5397. 2022-01-17 16:18:07,081:INFO:Scoring test/hold-out set
  5398. 2022-01-17 16:18:07,197:INFO:Visual Rendered Successfully
  5399. 2022-01-17 16:18:07,277:INFO:plot_model() succesfully completed......................................
  5400. 2022-01-17 16:18:12,516:INFO:Initializing plot_model()
  5401. 2022-01-17 16:18:12,516:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5402. max_depth=None, max_features=None, max_leaf_nodes=None,
  5403. min_impurity_decrease=0.0, min_impurity_split=None,
  5404. min_samples_leaf=1, min_samples_split=2,
  5405. min_weight_fraction_leaf=0.0, presort='deprecated',
  5406. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  5407. 2022-01-17 16:18:12,517:INFO:Checking exceptions
  5408. 2022-01-17 16:18:12,517:INFO:Preparing display monitor
  5409. 2022-01-17 16:18:12,521:INFO:Preloading libraries
  5410. 2022-01-17 16:18:12,522:INFO:Copying training dataset
  5411. 2022-01-17 16:18:12,523:INFO:Copying test dataset
  5412. 2022-01-17 16:18:12,523:INFO:Plot type: feature
  5413. 2022-01-17 16:18:12,524:WARNING:No coef_ found. Trying feature_importances_
  5414. 2022-01-17 16:18:12,600:INFO:Visual Rendered Successfully
  5415. 2022-01-17 16:18:12,672:INFO:plot_model() succesfully completed......................................
  5416. 2022-01-17 16:18:16,408:INFO:Initializing plot_model()
  5417. 2022-01-17 16:18:16,408:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5418. max_depth=None, max_features=None, max_leaf_nodes=None,
  5419. min_impurity_decrease=0.0, min_impurity_split=None,
  5420. min_samples_leaf=1, min_samples_split=2,
  5421. min_weight_fraction_leaf=0.0, presort='deprecated',
  5422. random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  5423. 2022-01-17 16:18:16,408:INFO:Checking exceptions
  5424. 2022-01-17 16:18:16,409:INFO:Preparing display monitor
  5425. 2022-01-17 16:18:16,413:INFO:Preloading libraries
  5426. 2022-01-17 16:18:16,414:INFO:Copying training dataset
  5427. 2022-01-17 16:18:16,415:INFO:Copying test dataset
  5428. 2022-01-17 16:18:16,416:INFO:Plot type: feature_all
  5429. 2022-01-17 16:18:16,417:WARNING:No coef_ found. Trying feature_importances_
  5430. 2022-01-17 16:18:16,649:INFO:Visual Rendered Successfully
  5431. 2022-01-17 16:18:16,725:INFO:plot_model() succesfully completed......................................
  5432. 2022-01-17 16:18:54,542:INFO:PyCaret Supervised Module
  5433. 2022-01-17 16:18:54,543:INFO:ML Usecase: classification
  5434. 2022-01-17 16:18:54,543:INFO:version 2.3.6
  5435. 2022-01-17 16:18:54,543:INFO:Initializing setup()
  5436. 2022-01-17 16:18:54,543:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  5437. 2022-01-17 16:18:54,543:INFO:Checking environment
  5438. 2022-01-17 16:18:54,543:INFO:python_version: 3.8.8
  5439. 2022-01-17 16:18:54,543:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  5440. 2022-01-17 16:18:54,544:INFO:machine: x86_64
  5441. 2022-01-17 16:18:54,544:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  5442. 2022-01-17 16:18:54,544:INFO:Memory: svmem(total=33619935232, available=27131334656, percent=19.3, used=5641605120, free=24539742208, active=1218359296, inactive=7216082944, buffers=606724096, cached=2831863808, shared=383741952, slab=313683968)
  5443. 2022-01-17 16:18:54,545:INFO:Physical Core: 16
  5444. 2022-01-17 16:18:54,545:INFO:Logical Core: 32
  5445. 2022-01-17 16:18:54,545:INFO:Checking libraries
  5446. 2022-01-17 16:18:54,545:INFO:pd==1.2.4
  5447. 2022-01-17 16:18:54,545:INFO:numpy==1.19.5
  5448. 2022-01-17 16:18:54,545:INFO:sklearn==0.23.2
  5449. 2022-01-17 16:18:54,546:INFO:lightgbm==3.3.2
  5450. 2022-01-17 16:18:54,546:WARNING:catboost not found
  5451. 2022-01-17 16:18:54,546:WARNING:xgboost not found
  5452. 2022-01-17 16:18:54,547:INFO:mlflow==1.22.0
  5453. 2022-01-17 16:18:54,547:INFO:Checking Exceptions
  5454. 2022-01-17 16:18:54,547:INFO:Declaring global variables
  5455. 2022-01-17 16:18:54,547:INFO:USI: 2819
  5456. 2022-01-17 16:18:54,547:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  5457. 2022-01-17 16:18:54,547:INFO:Preparing display monitor
  5458. 2022-01-17 16:18:54,548:INFO:Preparing display monitor
  5459. 2022-01-17 16:18:54,555:INFO:Importing libraries
  5460. 2022-01-17 16:18:54,555:INFO:Copying data for preprocessing
  5461. 2022-01-17 16:18:54,561:INFO:Declaring preprocessing parameters
  5462. 2022-01-17 16:18:54,562:WARNING:cuML not found
  5463. 2022-01-17 16:18:54,562:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  5464. 2022-01-17 16:18:54,564:INFO:Creating preprocessing pipeline
  5465. 2022-01-17 16:18:54,594:INFO:Preprocessing pipeline created successfully
  5466. 2022-01-17 16:18:54,595:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  5467. 2022-01-17 16:18:54,595:INFO:Creating global containers
  5468. 2022-01-17 16:18:54,595:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  5469. 2022-01-17 16:19:11,428:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  5470. 2022-01-17 16:19:11,455:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  5471. 2022-01-17 16:19:11,456:WARNING:Couldn't import cuml.MBSGDClassifier
  5472. 2022-01-17 16:19:11,457:WARNING:Couldn't import cuml.svm.SVC
  5473. 2022-01-17 16:19:11,470:WARNING:Couldn't import cuml.linear_model
  5474. 2022-01-17 16:19:11,474:WARNING:Couldn't import cuml.ensemble
  5475. 2022-01-17 16:19:11,475:WARNING:Couldn't import xgboost.XGBClassifier
  5476. 2022-01-17 16:19:11,480:WARNING:Couldn't import catboost.CatBoostClassifier
  5477. 2022-01-17 16:19:11,481:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  5478. 2022-01-17 16:19:11,512:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  5479. 2022-01-17 16:19:11,512:WARNING:Couldn't import cuml.MBSGDClassifier
  5480. 2022-01-17 16:19:11,513:WARNING:Couldn't import cuml.svm.SVC
  5481. 2022-01-17 16:19:11,527:WARNING:Couldn't import cuml.linear_model
  5482. 2022-01-17 16:19:11,530:WARNING:Couldn't import cuml.ensemble
  5483. 2022-01-17 16:19:11,531:WARNING:Couldn't import xgboost.XGBClassifier
  5484. 2022-01-17 16:19:11,534:WARNING:Couldn't import catboost.CatBoostClassifier
  5485. 2022-01-17 16:19:11,535:INFO:Creating grid variables
  5486. 2022-01-17 16:19:11,548:INFO:create_model_container: 0
  5487. 2022-01-17 16:19:11,548:INFO:master_model_container: 0
  5488. 2022-01-17 16:19:11,548:INFO:display_container: 1
  5489. 2022-01-17 16:19:11,551:INFO:Pipeline(memory=None,
  5490. steps=[('dtypes',
  5491. DataTypes_Auto_infer(categorical_features=[],
  5492. display_types=True, features_todrop=[],
  5493. id_columns=[],
  5494. ml_usecase='classification',
  5495. numerical_features=[], target='label',
  5496. time_features=[])),
  5497. ('imputer',
  5498. Simple_Imputer(categorical_strategy='not_available',
  5499. fill_value_categorical=None,
  5500. fill_value_numerical=None,
  5501. numeric_strate...
  5502. target='label')),
  5503. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  5504. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  5505. ('dummy', Dummify(target='label')),
  5506. ('fix_perfect', Remove_100(target='label')),
  5507. ('clean_names', Clean_Colum_Names()),
  5508. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  5509. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  5510. verbose=False)
  5511. 2022-01-17 16:19:11,551:INFO:setup() succesfully completed......................................
  5512. 2022-01-17 16:19:50,281:INFO:Initializing compare_models()
  5513. 2022-01-17 16:19:50,281:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  5514. 2022-01-17 16:19:50,282:INFO:Checking exceptions
  5515. 2022-01-17 16:19:50,282:INFO:Preparing display monitor
  5516. 2022-01-17 16:19:50,283:INFO:Preparing display monitor
  5517. 2022-01-17 16:19:50,298:INFO:Initializing Logistic Regression
  5518. 2022-01-17 16:19:50,299:INFO:Total runtime is 4.923343658447265e-06 minutes
  5519. 2022-01-17 16:19:50,304:INFO:SubProcess create_model() called ==================================
  5520. 2022-01-17 16:19:50,304:INFO:Initializing create_model()
  5521. 2022-01-17 16:19:50,304:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5522. 2022-01-17 16:19:50,305:INFO:Checking exceptions
  5523. 2022-01-17 16:19:50,305:INFO:Importing libraries
  5524. 2022-01-17 16:19:50,305:INFO:Copying training dataset
  5525. 2022-01-17 16:19:50,306:INFO:Defining folds
  5526. 2022-01-17 16:19:50,306:INFO:Declaring metric variables
  5527. 2022-01-17 16:19:50,311:INFO:Importing untrained model
  5528. 2022-01-17 16:19:50,316:INFO:Logistic Regression Imported succesfully
  5529. 2022-01-17 16:19:50,327:INFO:Starting cross validation
  5530. 2022-01-17 16:19:50,327:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5531. 2022-01-17 16:19:56,519:INFO:Calculating mean and std
  5532. 2022-01-17 16:19:56,520:INFO:Creating metrics dataframe
  5533. 2022-01-17 16:19:56,526:INFO:Uploading results into container
  5534. 2022-01-17 16:19:56,528:INFO:Uploading model into container now
  5535. 2022-01-17 16:19:56,528:INFO:create_model_container: 1
  5536. 2022-01-17 16:19:56,528:INFO:master_model_container: 1
  5537. 2022-01-17 16:19:56,528:INFO:display_container: 2
  5538. 2022-01-17 16:19:56,529:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  5539. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  5540. multi_class='auto', n_jobs=None, penalty='l2',
  5541. random_state=424, solver='lbfgs', tol=0.0001, verbose=0,
  5542. warm_start=False)
  5543. 2022-01-17 16:19:56,529:INFO:create_model() succesfully completed......................................
  5544. 2022-01-17 16:19:56,615:INFO:SubProcess create_model() end ==================================
  5545. 2022-01-17 16:19:56,616:INFO:Creating metrics dataframe
  5546. 2022-01-17 16:19:56,625:INFO:Initializing K Neighbors Classifier
  5547. 2022-01-17 16:19:56,625:INFO:Total runtime is 0.10544798374176026 minutes
  5548. 2022-01-17 16:19:56,631:INFO:SubProcess create_model() called ==================================
  5549. 2022-01-17 16:19:56,631:INFO:Initializing create_model()
  5550. 2022-01-17 16:19:56,631:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5551. 2022-01-17 16:19:56,632:INFO:Checking exceptions
  5552. 2022-01-17 16:19:56,632:INFO:Importing libraries
  5553. 2022-01-17 16:19:56,632:INFO:Copying training dataset
  5554. 2022-01-17 16:19:56,633:INFO:Defining folds
  5555. 2022-01-17 16:19:56,633:INFO:Declaring metric variables
  5556. 2022-01-17 16:19:56,638:INFO:Importing untrained model
  5557. 2022-01-17 16:19:56,643:INFO:K Neighbors Classifier Imported succesfully
  5558. 2022-01-17 16:19:56,654:INFO:Starting cross validation
  5559. 2022-01-17 16:19:56,654:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5560. 2022-01-17 16:20:13,378:INFO:Calculating mean and std
  5561. 2022-01-17 16:20:13,379:INFO:Creating metrics dataframe
  5562. 2022-01-17 16:20:13,382:INFO:Uploading results into container
  5563. 2022-01-17 16:20:13,382:INFO:Uploading model into container now
  5564. 2022-01-17 16:20:13,382:INFO:create_model_container: 2
  5565. 2022-01-17 16:20:13,382:INFO:master_model_container: 2
  5566. 2022-01-17 16:20:13,382:INFO:display_container: 2
  5567. 2022-01-17 16:20:13,383:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  5568. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  5569. weights='uniform')
  5570. 2022-01-17 16:20:13,383:INFO:create_model() succesfully completed......................................
  5571. 2022-01-17 16:20:13,454:INFO:SubProcess create_model() end ==================================
  5572. 2022-01-17 16:20:13,455:INFO:Creating metrics dataframe
  5573. 2022-01-17 16:20:13,465:INFO:Initializing Naive Bayes
  5574. 2022-01-17 16:20:13,466:INFO:Total runtime is 0.38611943721771236 minutes
  5575. 2022-01-17 16:20:13,471:INFO:SubProcess create_model() called ==================================
  5576. 2022-01-17 16:20:13,471:INFO:Initializing create_model()
  5577. 2022-01-17 16:20:13,471:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5578. 2022-01-17 16:20:13,471:INFO:Checking exceptions
  5579. 2022-01-17 16:20:13,471:INFO:Importing libraries
  5580. 2022-01-17 16:20:13,472:INFO:Copying training dataset
  5581. 2022-01-17 16:20:13,473:INFO:Defining folds
  5582. 2022-01-17 16:20:13,473:INFO:Declaring metric variables
  5583. 2022-01-17 16:20:13,478:INFO:Importing untrained model
  5584. 2022-01-17 16:20:13,483:INFO:Naive Bayes Imported succesfully
  5585. 2022-01-17 16:20:13,492:INFO:Starting cross validation
  5586. 2022-01-17 16:20:13,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5587. 2022-01-17 16:20:13,717:INFO:Calculating mean and std
  5588. 2022-01-17 16:20:13,718:INFO:Creating metrics dataframe
  5589. 2022-01-17 16:20:13,721:INFO:Uploading results into container
  5590. 2022-01-17 16:20:13,721:INFO:Uploading model into container now
  5591. 2022-01-17 16:20:13,721:INFO:create_model_container: 3
  5592. 2022-01-17 16:20:13,721:INFO:master_model_container: 3
  5593. 2022-01-17 16:20:13,721:INFO:display_container: 2
  5594. 2022-01-17 16:20:13,722:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  5595. 2022-01-17 16:20:13,722:INFO:create_model() succesfully completed......................................
  5596. 2022-01-17 16:20:13,792:INFO:SubProcess create_model() end ==================================
  5597. 2022-01-17 16:20:13,793:INFO:Creating metrics dataframe
  5598. 2022-01-17 16:20:13,803:INFO:Initializing Decision Tree Classifier
  5599. 2022-01-17 16:20:13,804:INFO:Total runtime is 0.39175337553024286 minutes
  5600. 2022-01-17 16:20:13,809:INFO:SubProcess create_model() called ==================================
  5601. 2022-01-17 16:20:13,809:INFO:Initializing create_model()
  5602. 2022-01-17 16:20:13,809:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5603. 2022-01-17 16:20:13,809:INFO:Checking exceptions
  5604. 2022-01-17 16:20:13,809:INFO:Importing libraries
  5605. 2022-01-17 16:20:13,810:INFO:Copying training dataset
  5606. 2022-01-17 16:20:13,811:INFO:Defining folds
  5607. 2022-01-17 16:20:13,811:INFO:Declaring metric variables
  5608. 2022-01-17 16:20:13,816:INFO:Importing untrained model
  5609. 2022-01-17 16:20:13,820:INFO:Decision Tree Classifier Imported succesfully
  5610. 2022-01-17 16:20:13,831:INFO:Starting cross validation
  5611. 2022-01-17 16:20:13,831:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5612. 2022-01-17 16:20:14,772:INFO:Calculating mean and std
  5613. 2022-01-17 16:20:14,773:INFO:Creating metrics dataframe
  5614. 2022-01-17 16:20:14,775:INFO:Uploading results into container
  5615. 2022-01-17 16:20:14,776:INFO:Uploading model into container now
  5616. 2022-01-17 16:20:14,776:INFO:create_model_container: 4
  5617. 2022-01-17 16:20:14,776:INFO:master_model_container: 4
  5618. 2022-01-17 16:20:14,776:INFO:display_container: 2
  5619. 2022-01-17 16:20:14,776:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5620. max_depth=None, max_features=None, max_leaf_nodes=None,
  5621. min_impurity_decrease=0.0, min_impurity_split=None,
  5622. min_samples_leaf=1, min_samples_split=2,
  5623. min_weight_fraction_leaf=0.0, presort='deprecated',
  5624. random_state=424, splitter='best')
  5625. 2022-01-17 16:20:14,777:INFO:create_model() succesfully completed......................................
  5626. 2022-01-17 16:20:14,845:INFO:SubProcess create_model() end ==================================
  5627. 2022-01-17 16:20:14,846:INFO:Creating metrics dataframe
  5628. 2022-01-17 16:20:14,856:INFO:Initializing SVM - Linear Kernel
  5629. 2022-01-17 16:20:14,856:INFO:Total runtime is 0.4093016187349955 minutes
  5630. 2022-01-17 16:20:14,862:INFO:SubProcess create_model() called ==================================
  5631. 2022-01-17 16:20:14,862:INFO:Initializing create_model()
  5632. 2022-01-17 16:20:14,862:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5633. 2022-01-17 16:20:14,862:INFO:Checking exceptions
  5634. 2022-01-17 16:20:14,863:INFO:Importing libraries
  5635. 2022-01-17 16:20:14,863:INFO:Copying training dataset
  5636. 2022-01-17 16:20:14,864:INFO:Defining folds
  5637. 2022-01-17 16:20:14,864:INFO:Declaring metric variables
  5638. 2022-01-17 16:20:14,869:INFO:Importing untrained model
  5639. 2022-01-17 16:20:14,874:INFO:SVM - Linear Kernel Imported succesfully
  5640. 2022-01-17 16:20:14,885:INFO:Starting cross validation
  5641. 2022-01-17 16:20:14,886:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5642. 2022-01-17 16:20:16,016:INFO:Calculating mean and std
  5643. 2022-01-17 16:20:16,017:INFO:Creating metrics dataframe
  5644. 2022-01-17 16:20:16,022:INFO:Uploading results into container
  5645. 2022-01-17 16:20:16,022:INFO:Uploading model into container now
  5646. 2022-01-17 16:20:16,022:INFO:create_model_container: 5
  5647. 2022-01-17 16:20:16,024:INFO:master_model_container: 5
  5648. 2022-01-17 16:20:16,025:INFO:display_container: 2
  5649. 2022-01-17 16:20:16,028:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  5650. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  5651. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  5652. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  5653. power_t=0.5, random_state=424, shuffle=True, tol=0.001,
  5654. validation_fraction=0.1, verbose=0, warm_start=False)
  5655. 2022-01-17 16:20:16,028:INFO:create_model() succesfully completed......................................
  5656. 2022-01-17 16:20:16,122:INFO:SubProcess create_model() end ==================================
  5657. 2022-01-17 16:20:16,122:INFO:Creating metrics dataframe
  5658. 2022-01-17 16:20:16,133:INFO:Initializing Ridge Classifier
  5659. 2022-01-17 16:20:16,134:INFO:Total runtime is 0.43058832089106236 minutes
  5660. 2022-01-17 16:20:16,141:INFO:SubProcess create_model() called ==================================
  5661. 2022-01-17 16:20:16,142:INFO:Initializing create_model()
  5662. 2022-01-17 16:20:16,142:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5663. 2022-01-17 16:20:16,142:INFO:Checking exceptions
  5664. 2022-01-17 16:20:16,142:INFO:Importing libraries
  5665. 2022-01-17 16:20:16,142:INFO:Copying training dataset
  5666. 2022-01-17 16:20:16,144:INFO:Defining folds
  5667. 2022-01-17 16:20:16,144:INFO:Declaring metric variables
  5668. 2022-01-17 16:20:16,153:INFO:Importing untrained model
  5669. 2022-01-17 16:20:16,159:INFO:Ridge Classifier Imported succesfully
  5670. 2022-01-17 16:20:16,173:INFO:Starting cross validation
  5671. 2022-01-17 16:20:16,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5672. 2022-01-17 16:20:16,879:INFO:Calculating mean and std
  5673. 2022-01-17 16:20:16,892:INFO:Creating metrics dataframe
  5674. 2022-01-17 16:20:16,897:INFO:Uploading results into container
  5675. 2022-01-17 16:20:16,900:INFO:Uploading model into container now
  5676. 2022-01-17 16:20:16,900:INFO:create_model_container: 6
  5677. 2022-01-17 16:20:16,900:INFO:master_model_container: 6
  5678. 2022-01-17 16:20:16,901:INFO:display_container: 2
  5679. 2022-01-17 16:20:16,901:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  5680. max_iter=None, normalize=False, random_state=424, solver='auto',
  5681. tol=0.001)
  5682. 2022-01-17 16:20:16,901:INFO:create_model() succesfully completed......................................
  5683. 2022-01-17 16:20:16,994:INFO:SubProcess create_model() end ==================================
  5684. 2022-01-17 16:20:16,994:INFO:Creating metrics dataframe
  5685. 2022-01-17 16:20:17,005:INFO:Initializing Random Forest Classifier
  5686. 2022-01-17 16:20:17,005:INFO:Total runtime is 0.44511662721633904 minutes
  5687. 2022-01-17 16:20:17,011:INFO:SubProcess create_model() called ==================================
  5688. 2022-01-17 16:20:17,011:INFO:Initializing create_model()
  5689. 2022-01-17 16:20:17,011:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5690. 2022-01-17 16:20:17,011:INFO:Checking exceptions
  5691. 2022-01-17 16:20:17,011:INFO:Importing libraries
  5692. 2022-01-17 16:20:17,012:INFO:Copying training dataset
  5693. 2022-01-17 16:20:17,013:INFO:Defining folds
  5694. 2022-01-17 16:20:17,013:INFO:Declaring metric variables
  5695. 2022-01-17 16:20:17,018:INFO:Importing untrained model
  5696. 2022-01-17 16:20:17,022:INFO:Random Forest Classifier Imported succesfully
  5697. 2022-01-17 16:20:17,033:INFO:Starting cross validation
  5698. 2022-01-17 16:20:17,033:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5699. 2022-01-17 16:20:23,517:INFO:Calculating mean and std
  5700. 2022-01-17 16:20:23,518:INFO:Creating metrics dataframe
  5701. 2022-01-17 16:20:23,520:INFO:Uploading results into container
  5702. 2022-01-17 16:20:23,520:INFO:Uploading model into container now
  5703. 2022-01-17 16:20:23,521:INFO:create_model_container: 7
  5704. 2022-01-17 16:20:23,521:INFO:master_model_container: 7
  5705. 2022-01-17 16:20:23,521:INFO:display_container: 2
  5706. 2022-01-17 16:20:23,521:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5707. criterion='gini', max_depth=None, max_features='auto',
  5708. max_leaf_nodes=None, max_samples=None,
  5709. min_impurity_decrease=0.0, min_impurity_split=None,
  5710. min_samples_leaf=1, min_samples_split=2,
  5711. min_weight_fraction_leaf=0.0, n_estimators=100,
  5712. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  5713. warm_start=False)
  5714. 2022-01-17 16:20:23,521:INFO:create_model() succesfully completed......................................
  5715. 2022-01-17 16:20:23,600:INFO:SubProcess create_model() end ==================================
  5716. 2022-01-17 16:20:23,600:INFO:Creating metrics dataframe
  5717. 2022-01-17 16:20:23,612:INFO:Initializing Quadratic Discriminant Analysis
  5718. 2022-01-17 16:20:23,612:INFO:Total runtime is 0.555225106080373 minutes
  5719. 2022-01-17 16:20:23,617:INFO:SubProcess create_model() called ==================================
  5720. 2022-01-17 16:20:23,617:INFO:Initializing create_model()
  5721. 2022-01-17 16:20:23,617:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5722. 2022-01-17 16:20:23,618:INFO:Checking exceptions
  5723. 2022-01-17 16:20:23,618:INFO:Importing libraries
  5724. 2022-01-17 16:20:23,618:INFO:Copying training dataset
  5725. 2022-01-17 16:20:23,619:INFO:Defining folds
  5726. 2022-01-17 16:20:23,619:INFO:Declaring metric variables
  5727. 2022-01-17 16:20:23,624:INFO:Importing untrained model
  5728. 2022-01-17 16:20:23,630:INFO:Quadratic Discriminant Analysis Imported succesfully
  5729. 2022-01-17 16:20:23,640:INFO:Starting cross validation
  5730. 2022-01-17 16:20:23,641:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5731. 2022-01-17 16:20:24,483:INFO:Calculating mean and std
  5732. 2022-01-17 16:20:24,484:INFO:Creating metrics dataframe
  5733. 2022-01-17 16:20:24,489:INFO:Uploading results into container
  5734. 2022-01-17 16:20:24,492:INFO:Uploading model into container now
  5735. 2022-01-17 16:20:24,493:INFO:create_model_container: 8
  5736. 2022-01-17 16:20:24,494:INFO:master_model_container: 8
  5737. 2022-01-17 16:20:24,494:INFO:display_container: 2
  5738. 2022-01-17 16:20:24,495:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  5739. store_covariance=False, tol=0.0001)
  5740. 2022-01-17 16:20:24,495:INFO:create_model() succesfully completed......................................
  5741. 2022-01-17 16:20:24,582:INFO:SubProcess create_model() end ==================================
  5742. 2022-01-17 16:20:24,583:INFO:Creating metrics dataframe
  5743. 2022-01-17 16:20:24,594:INFO:Initializing Ada Boost Classifier
  5744. 2022-01-17 16:20:24,594:INFO:Total runtime is 0.5716010252634683 minutes
  5745. 2022-01-17 16:20:24,600:INFO:SubProcess create_model() called ==================================
  5746. 2022-01-17 16:20:24,600:INFO:Initializing create_model()
  5747. 2022-01-17 16:20:24,600:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5748. 2022-01-17 16:20:24,600:INFO:Checking exceptions
  5749. 2022-01-17 16:20:24,600:INFO:Importing libraries
  5750. 2022-01-17 16:20:24,601:INFO:Copying training dataset
  5751. 2022-01-17 16:20:24,602:INFO:Defining folds
  5752. 2022-01-17 16:20:24,602:INFO:Declaring metric variables
  5753. 2022-01-17 16:20:24,607:INFO:Importing untrained model
  5754. 2022-01-17 16:20:24,612:INFO:Ada Boost Classifier Imported succesfully
  5755. 2022-01-17 16:20:24,622:INFO:Starting cross validation
  5756. 2022-01-17 16:20:24,623:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5757. 2022-01-17 16:20:31,369:INFO:Calculating mean and std
  5758. 2022-01-17 16:20:31,370:INFO:Creating metrics dataframe
  5759. 2022-01-17 16:20:31,373:INFO:Uploading results into container
  5760. 2022-01-17 16:20:31,373:INFO:Uploading model into container now
  5761. 2022-01-17 16:20:31,373:INFO:create_model_container: 9
  5762. 2022-01-17 16:20:31,373:INFO:master_model_container: 9
  5763. 2022-01-17 16:20:31,373:INFO:display_container: 2
  5764. 2022-01-17 16:20:31,374:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  5765. n_estimators=50, random_state=424)
  5766. 2022-01-17 16:20:31,374:INFO:create_model() succesfully completed......................................
  5767. 2022-01-17 16:20:31,444:INFO:SubProcess create_model() end ==================================
  5768. 2022-01-17 16:20:31,445:INFO:Creating metrics dataframe
  5769. 2022-01-17 16:20:31,457:INFO:Initializing Gradient Boosting Classifier
  5770. 2022-01-17 16:20:31,457:INFO:Total runtime is 0.6859723726908366 minutes
  5771. 2022-01-17 16:20:31,462:INFO:SubProcess create_model() called ==================================
  5772. 2022-01-17 16:20:31,462:INFO:Initializing create_model()
  5773. 2022-01-17 16:20:31,462:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5774. 2022-01-17 16:20:31,463:INFO:Checking exceptions
  5775. 2022-01-17 16:20:31,463:INFO:Importing libraries
  5776. 2022-01-17 16:20:31,463:INFO:Copying training dataset
  5777. 2022-01-17 16:20:31,464:INFO:Defining folds
  5778. 2022-01-17 16:20:31,464:INFO:Declaring metric variables
  5779. 2022-01-17 16:20:31,469:INFO:Importing untrained model
  5780. 2022-01-17 16:20:31,473:INFO:Gradient Boosting Classifier Imported succesfully
  5781. 2022-01-17 16:20:31,484:INFO:Starting cross validation
  5782. 2022-01-17 16:20:31,484:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5783. 2022-01-17 16:20:53,555:INFO:Calculating mean and std
  5784. 2022-01-17 16:20:53,555:INFO:Creating metrics dataframe
  5785. 2022-01-17 16:20:53,558:INFO:Uploading results into container
  5786. 2022-01-17 16:20:53,558:INFO:Uploading model into container now
  5787. 2022-01-17 16:20:53,558:INFO:create_model_container: 10
  5788. 2022-01-17 16:20:53,559:INFO:master_model_container: 10
  5789. 2022-01-17 16:20:53,559:INFO:display_container: 2
  5790. 2022-01-17 16:20:53,559:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  5791. learning_rate=0.1, loss='deviance', max_depth=3,
  5792. max_features=None, max_leaf_nodes=None,
  5793. min_impurity_decrease=0.0, min_impurity_split=None,
  5794. min_samples_leaf=1, min_samples_split=2,
  5795. min_weight_fraction_leaf=0.0, n_estimators=100,
  5796. n_iter_no_change=None, presort='deprecated',
  5797. random_state=424, subsample=1.0, tol=0.0001,
  5798. validation_fraction=0.1, verbose=0,
  5799. warm_start=False)
  5800. 2022-01-17 16:20:53,560:INFO:create_model() succesfully completed......................................
  5801. 2022-01-17 16:20:53,627:INFO:SubProcess create_model() end ==================================
  5802. 2022-01-17 16:20:53,627:INFO:Creating metrics dataframe
  5803. 2022-01-17 16:20:53,640:INFO:Initializing Linear Discriminant Analysis
  5804. 2022-01-17 16:20:53,640:INFO:Total runtime is 1.0557005564371744 minutes
  5805. 2022-01-17 16:20:53,646:INFO:SubProcess create_model() called ==================================
  5806. 2022-01-17 16:20:53,646:INFO:Initializing create_model()
  5807. 2022-01-17 16:20:53,646:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5808. 2022-01-17 16:20:53,646:INFO:Checking exceptions
  5809. 2022-01-17 16:20:53,647:INFO:Importing libraries
  5810. 2022-01-17 16:20:53,647:INFO:Copying training dataset
  5811. 2022-01-17 16:20:53,648:INFO:Defining folds
  5812. 2022-01-17 16:20:53,648:INFO:Declaring metric variables
  5813. 2022-01-17 16:20:53,653:INFO:Importing untrained model
  5814. 2022-01-17 16:20:53,657:INFO:Linear Discriminant Analysis Imported succesfully
  5815. 2022-01-17 16:20:53,668:INFO:Starting cross validation
  5816. 2022-01-17 16:20:53,668:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5817. 2022-01-17 16:20:55,366:INFO:Calculating mean and std
  5818. 2022-01-17 16:20:55,367:INFO:Creating metrics dataframe
  5819. 2022-01-17 16:20:55,371:INFO:Uploading results into container
  5820. 2022-01-17 16:20:55,371:INFO:Uploading model into container now
  5821. 2022-01-17 16:20:55,371:INFO:create_model_container: 11
  5822. 2022-01-17 16:20:55,371:INFO:master_model_container: 11
  5823. 2022-01-17 16:20:55,371:INFO:display_container: 2
  5824. 2022-01-17 16:20:55,372:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  5825. solver='svd', store_covariance=False, tol=0.0001)
  5826. 2022-01-17 16:20:55,372:INFO:create_model() succesfully completed......................................
  5827. 2022-01-17 16:20:55,470:INFO:SubProcess create_model() end ==================================
  5828. 2022-01-17 16:20:55,470:INFO:Creating metrics dataframe
  5829. 2022-01-17 16:20:55,483:INFO:Initializing Extra Trees Classifier
  5830. 2022-01-17 16:20:55,483:INFO:Total runtime is 1.0864083329836527 minutes
  5831. 2022-01-17 16:20:55,488:INFO:SubProcess create_model() called ==================================
  5832. 2022-01-17 16:20:55,488:INFO:Initializing create_model()
  5833. 2022-01-17 16:20:55,489:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5834. 2022-01-17 16:20:55,489:INFO:Checking exceptions
  5835. 2022-01-17 16:20:55,489:INFO:Importing libraries
  5836. 2022-01-17 16:20:55,489:INFO:Copying training dataset
  5837. 2022-01-17 16:20:55,490:INFO:Defining folds
  5838. 2022-01-17 16:20:55,490:INFO:Declaring metric variables
  5839. 2022-01-17 16:20:55,495:INFO:Importing untrained model
  5840. 2022-01-17 16:20:55,500:INFO:Extra Trees Classifier Imported succesfully
  5841. 2022-01-17 16:20:55,509:INFO:Starting cross validation
  5842. 2022-01-17 16:20:55,510:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5843. 2022-01-17 16:21:02,191:INFO:Calculating mean and std
  5844. 2022-01-17 16:21:02,191:INFO:Creating metrics dataframe
  5845. 2022-01-17 16:21:02,194:INFO:Uploading results into container
  5846. 2022-01-17 16:21:02,194:INFO:Uploading model into container now
  5847. 2022-01-17 16:21:02,195:INFO:create_model_container: 12
  5848. 2022-01-17 16:21:02,195:INFO:master_model_container: 12
  5849. 2022-01-17 16:21:02,195:INFO:display_container: 2
  5850. 2022-01-17 16:21:02,195:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  5851. criterion='gini', max_depth=None, max_features='auto',
  5852. max_leaf_nodes=None, max_samples=None,
  5853. min_impurity_decrease=0.0, min_impurity_split=None,
  5854. min_samples_leaf=1, min_samples_split=2,
  5855. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  5856. oob_score=False, random_state=424, verbose=0,
  5857. warm_start=False)
  5858. 2022-01-17 16:21:02,195:INFO:create_model() succesfully completed......................................
  5859. 2022-01-17 16:21:02,273:INFO:SubProcess create_model() end ==================================
  5860. 2022-01-17 16:21:02,274:INFO:Creating metrics dataframe
  5861. 2022-01-17 16:21:02,287:INFO:Initializing Light Gradient Boosting Machine
  5862. 2022-01-17 16:21:02,287:INFO:Total runtime is 1.199817915757497 minutes
  5863. 2022-01-17 16:21:02,293:INFO:SubProcess create_model() called ==================================
  5864. 2022-01-17 16:21:02,293:INFO:Initializing create_model()
  5865. 2022-01-17 16:21:02,294:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5866. 2022-01-17 16:21:02,294:INFO:Checking exceptions
  5867. 2022-01-17 16:21:02,294:INFO:Importing libraries
  5868. 2022-01-17 16:21:02,294:INFO:Copying training dataset
  5869. 2022-01-17 16:21:02,295:INFO:Defining folds
  5870. 2022-01-17 16:21:02,295:INFO:Declaring metric variables
  5871. 2022-01-17 16:21:02,300:INFO:Importing untrained model
  5872. 2022-01-17 16:21:02,305:INFO:Light Gradient Boosting Machine Imported succesfully
  5873. 2022-01-17 16:21:02,315:INFO:Starting cross validation
  5874. 2022-01-17 16:21:02,316:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5875. 2022-01-17 16:21:05,313:INFO:Calculating mean and std
  5876. 2022-01-17 16:21:05,313:INFO:Creating metrics dataframe
  5877. 2022-01-17 16:21:05,316:INFO:Uploading results into container
  5878. 2022-01-17 16:21:05,316:INFO:Uploading model into container now
  5879. 2022-01-17 16:21:05,316:INFO:create_model_container: 13
  5880. 2022-01-17 16:21:05,316:INFO:master_model_container: 13
  5881. 2022-01-17 16:21:05,317:INFO:display_container: 2
  5882. 2022-01-17 16:21:05,317:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  5883. importance_type='split', learning_rate=0.1, max_depth=-1,
  5884. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  5885. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  5886. random_state=424, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  5887. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  5888. 2022-01-17 16:21:05,317:INFO:create_model() succesfully completed......................................
  5889. 2022-01-17 16:21:05,387:INFO:SubProcess create_model() end ==================================
  5890. 2022-01-17 16:21:05,387:INFO:Creating metrics dataframe
  5891. 2022-01-17 16:21:05,401:INFO:Initializing Dummy Classifier
  5892. 2022-01-17 16:21:05,401:INFO:Total runtime is 1.2517123500506082 minutes
  5893. 2022-01-17 16:21:05,406:INFO:SubProcess create_model() called ==================================
  5894. 2022-01-17 16:21:05,407:INFO:Initializing create_model()
  5895. 2022-01-17 16:21:05,407:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cb9610>, kwargs={})
  5896. 2022-01-17 16:21:05,407:INFO:Checking exceptions
  5897. 2022-01-17 16:21:05,407:INFO:Importing libraries
  5898. 2022-01-17 16:21:05,407:INFO:Copying training dataset
  5899. 2022-01-17 16:21:05,409:INFO:Defining folds
  5900. 2022-01-17 16:21:05,409:INFO:Declaring metric variables
  5901. 2022-01-17 16:21:05,414:INFO:Importing untrained model
  5902. 2022-01-17 16:21:05,418:INFO:Dummy Classifier Imported succesfully
  5903. 2022-01-17 16:21:05,428:INFO:Starting cross validation
  5904. 2022-01-17 16:21:05,429:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5905. 2022-01-17 16:21:05,540:INFO:Calculating mean and std
  5906. 2022-01-17 16:21:05,540:INFO:Creating metrics dataframe
  5907. 2022-01-17 16:21:05,543:INFO:Uploading results into container
  5908. 2022-01-17 16:21:05,543:INFO:Uploading model into container now
  5909. 2022-01-17 16:21:05,543:INFO:create_model_container: 14
  5910. 2022-01-17 16:21:05,544:INFO:master_model_container: 14
  5911. 2022-01-17 16:21:05,544:INFO:display_container: 2
  5912. 2022-01-17 16:21:05,544:INFO:DummyClassifier(constant=None, random_state=424, strategy='prior')
  5913. 2022-01-17 16:21:05,544:INFO:create_model() succesfully completed......................................
  5914. 2022-01-17 16:21:05,616:INFO:SubProcess create_model() end ==================================
  5915. 2022-01-17 16:21:05,616:INFO:Creating metrics dataframe
  5916. 2022-01-17 16:21:05,641:INFO:Initializing create_model()
  5917. 2022-01-17 16:21:05,641:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5918. criterion='gini', max_depth=None, max_features='auto',
  5919. max_leaf_nodes=None, max_samples=None,
  5920. min_impurity_decrease=0.0, min_impurity_split=None,
  5921. min_samples_leaf=1, min_samples_split=2,
  5922. min_weight_fraction_leaf=0.0, n_estimators=100,
  5923. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  5924. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  5925. 2022-01-17 16:21:05,642:INFO:Checking exceptions
  5926. 2022-01-17 16:21:05,642:INFO:Importing libraries
  5927. 2022-01-17 16:21:05,642:INFO:Copying training dataset
  5928. 2022-01-17 16:21:05,643:INFO:Defining folds
  5929. 2022-01-17 16:21:05,643:INFO:Declaring metric variables
  5930. 2022-01-17 16:21:05,643:INFO:Importing untrained model
  5931. 2022-01-17 16:21:05,643:INFO:Declaring custom model
  5932. 2022-01-17 16:21:05,644:INFO:Random Forest Classifier Imported succesfully
  5933. 2022-01-17 16:21:05,644:INFO:Cross validation set to False
  5934. 2022-01-17 16:21:05,644:INFO:Fitting Model
  5935. 2022-01-17 16:21:06,028:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5936. criterion='gini', max_depth=None, max_features='auto',
  5937. max_leaf_nodes=None, max_samples=None,
  5938. min_impurity_decrease=0.0, min_impurity_split=None,
  5939. min_samples_leaf=1, min_samples_split=2,
  5940. min_weight_fraction_leaf=0.0, n_estimators=100,
  5941. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  5942. warm_start=False)
  5943. 2022-01-17 16:21:06,028:INFO:create_models() succesfully completed......................................
  5944. 2022-01-17 16:21:06,141:INFO:create_model_container: 14
  5945. 2022-01-17 16:21:06,142:INFO:master_model_container: 14
  5946. 2022-01-17 16:21:06,142:INFO:display_container: 2
  5947. 2022-01-17 16:21:06,142:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  5948. criterion='gini', max_depth=None, max_features='auto',
  5949. max_leaf_nodes=None, max_samples=None,
  5950. min_impurity_decrease=0.0, min_impurity_split=None,
  5951. min_samples_leaf=1, min_samples_split=2,
  5952. min_weight_fraction_leaf=0.0, n_estimators=100,
  5953. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  5954. warm_start=False)
  5955. 2022-01-17 16:21:06,142:INFO:compare_models() succesfully completed......................................
  5956. 2022-01-17 16:21:25,578:INFO:Initializing create_model()
  5957. 2022-01-17 16:21:25,578:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  5958. 2022-01-17 16:21:25,578:INFO:Checking exceptions
  5959. 2022-01-17 16:21:25,578:INFO:Preparing display monitor
  5960. 2022-01-17 16:21:25,589:INFO:Importing libraries
  5961. 2022-01-17 16:21:25,589:INFO:Copying training dataset
  5962. 2022-01-17 16:21:25,590:INFO:Defining folds
  5963. 2022-01-17 16:21:25,591:INFO:Declaring metric variables
  5964. 2022-01-17 16:21:25,595:INFO:Importing untrained model
  5965. 2022-01-17 16:21:25,600:INFO:Decision Tree Classifier Imported succesfully
  5966. 2022-01-17 16:21:25,610:INFO:Starting cross validation
  5967. 2022-01-17 16:21:25,611:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  5968. 2022-01-17 16:21:26,551:INFO:Calculating mean and std
  5969. 2022-01-17 16:21:26,552:INFO:Creating metrics dataframe
  5970. 2022-01-17 16:21:26,559:INFO:Finalizing model
  5971. 2022-01-17 16:21:26,651:INFO:Uploading results into container
  5972. 2022-01-17 16:21:26,651:INFO:Uploading model into container now
  5973. 2022-01-17 16:21:26,661:INFO:create_model_container: 15
  5974. 2022-01-17 16:21:26,661:INFO:master_model_container: 15
  5975. 2022-01-17 16:21:26,661:INFO:display_container: 3
  5976. 2022-01-17 16:21:26,662:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5977. max_depth=None, max_features=None, max_leaf_nodes=None,
  5978. min_impurity_decrease=0.0, min_impurity_split=None,
  5979. min_samples_leaf=1, min_samples_split=2,
  5980. min_weight_fraction_leaf=0.0, presort='deprecated',
  5981. random_state=424, splitter='best')
  5982. 2022-01-17 16:21:26,662:INFO:create_model() succesfully completed......................................
  5983. 2022-01-17 16:21:31,473:INFO:Initializing evaluate_model()
  5984. 2022-01-17 16:21:31,473:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5985. max_depth=None, max_features=None, max_leaf_nodes=None,
  5986. min_impurity_decrease=0.0, min_impurity_split=None,
  5987. min_samples_leaf=1, min_samples_split=2,
  5988. min_weight_fraction_leaf=0.0, presort='deprecated',
  5989. random_state=424, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  5990. 2022-01-17 16:21:31,484:INFO:Initializing plot_model()
  5991. 2022-01-17 16:21:31,484:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  5992. max_depth=None, max_features=None, max_leaf_nodes=None,
  5993. min_impurity_decrease=0.0, min_impurity_split=None,
  5994. min_samples_leaf=1, min_samples_split=2,
  5995. min_weight_fraction_leaf=0.0, presort='deprecated',
  5996. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  5997. 2022-01-17 16:21:31,484:INFO:Checking exceptions
  5998. 2022-01-17 16:21:31,485:INFO:Preparing display monitor
  5999. 2022-01-17 16:21:31,489:INFO:Preloading libraries
  6000. 2022-01-17 16:21:31,490:INFO:Copying training dataset
  6001. 2022-01-17 16:21:31,491:INFO:Copying test dataset
  6002. 2022-01-17 16:21:31,491:INFO:Plot type: parameter
  6003. 2022-01-17 16:21:31,496:INFO:Visual Rendered Successfully
  6004. 2022-01-17 16:21:31,577:INFO:plot_model() succesfully completed......................................
  6005. 2022-01-17 16:21:40,997:INFO:Initializing plot_model()
  6006. 2022-01-17 16:21:40,998:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6007. max_depth=None, max_features=None, max_leaf_nodes=None,
  6008. min_impurity_decrease=0.0, min_impurity_split=None,
  6009. min_samples_leaf=1, min_samples_split=2,
  6010. min_weight_fraction_leaf=0.0, presort='deprecated',
  6011. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6012. 2022-01-17 16:21:40,998:INFO:Checking exceptions
  6013. 2022-01-17 16:21:40,999:INFO:Preparing display monitor
  6014. 2022-01-17 16:21:41,003:INFO:Preloading libraries
  6015. 2022-01-17 16:21:41,004:INFO:Copying training dataset
  6016. 2022-01-17 16:21:41,005:INFO:Copying test dataset
  6017. 2022-01-17 16:21:41,006:INFO:Plot type: feature
  6018. 2022-01-17 16:21:41,007:WARNING:No coef_ found. Trying feature_importances_
  6019. 2022-01-17 16:21:41,081:INFO:Visual Rendered Successfully
  6020. 2022-01-17 16:21:41,162:INFO:plot_model() succesfully completed......................................
  6021. 2022-01-17 16:21:57,784:INFO:Initializing create_model()
  6022. 2022-01-17 16:21:57,785:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6023. 2022-01-17 16:21:57,785:INFO:Checking exceptions
  6024. 2022-01-17 16:21:57,785:INFO:Preparing display monitor
  6025. 2022-01-17 16:21:57,796:INFO:Importing libraries
  6026. 2022-01-17 16:21:57,796:INFO:Copying training dataset
  6027. 2022-01-17 16:21:57,797:INFO:Defining folds
  6028. 2022-01-17 16:21:57,798:INFO:Declaring metric variables
  6029. 2022-01-17 16:21:57,803:INFO:Importing untrained model
  6030. 2022-01-17 16:21:57,807:INFO:Decision Tree Classifier Imported succesfully
  6031. 2022-01-17 16:21:57,817:INFO:Starting cross validation
  6032. 2022-01-17 16:21:57,818:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6033. 2022-01-17 16:21:58,752:INFO:Calculating mean and std
  6034. 2022-01-17 16:21:58,753:INFO:Creating metrics dataframe
  6035. 2022-01-17 16:21:58,759:INFO:Finalizing model
  6036. 2022-01-17 16:21:58,850:INFO:Uploading results into container
  6037. 2022-01-17 16:21:58,851:INFO:Uploading model into container now
  6038. 2022-01-17 16:21:58,860:INFO:create_model_container: 16
  6039. 2022-01-17 16:21:58,860:INFO:master_model_container: 16
  6040. 2022-01-17 16:21:58,861:INFO:display_container: 4
  6041. 2022-01-17 16:21:58,861:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6042. max_depth=None, max_features=None, max_leaf_nodes=None,
  6043. min_impurity_decrease=0.0, min_impurity_split=None,
  6044. min_samples_leaf=1, min_samples_split=2,
  6045. min_weight_fraction_leaf=0.0, presort='deprecated',
  6046. random_state=424, splitter='best')
  6047. 2022-01-17 16:21:58,861:INFO:create_model() succesfully completed......................................
  6048. 2022-01-17 16:22:01,309:INFO:Initializing tune_model()
  6049. 2022-01-17 16:22:01,309:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6050. max_depth=None, max_features=None, max_leaf_nodes=None,
  6051. min_impurity_decrease=0.0, min_impurity_split=None,
  6052. min_samples_leaf=1, min_samples_split=2,
  6053. min_weight_fraction_leaf=0.0, presort='deprecated',
  6054. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6055. 2022-01-17 16:22:01,310:INFO:Checking exceptions
  6056. 2022-01-17 16:22:01,311:INFO:Preparing display monitor
  6057. 2022-01-17 16:22:01,324:INFO:Copying training dataset
  6058. 2022-01-17 16:22:01,325:INFO:Checking base model
  6059. 2022-01-17 16:22:01,325:INFO:Base model : Decision Tree Classifier
  6060. 2022-01-17 16:22:01,331:INFO:Declaring metric variables
  6061. 2022-01-17 16:22:01,337:INFO:Defining Hyperparameters
  6062. 2022-01-17 16:22:01,419:INFO:Tuning with n_jobs=-1
  6063. 2022-01-17 16:22:01,420:INFO:Initializing RandomizedSearchCV
  6064. 2022-01-17 16:22:02,741:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 2, 'actual_estimator__min_impurity_decrease': 0, 'actual_estimator__max_features': 'log2', 'actual_estimator__max_depth': 14, 'actual_estimator__criterion': 'entropy'}
  6065. 2022-01-17 16:22:02,742:INFO:Hyperparameter search completed
  6066. 2022-01-17 16:22:02,742:INFO:SubProcess create_model() called ==================================
  6067. 2022-01-17 16:22:02,742:INFO:Initializing create_model()
  6068. 2022-01-17 16:22:02,742:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6069. max_depth=None, max_features=None, max_leaf_nodes=None,
  6070. min_impurity_decrease=0.0, min_impurity_split=None,
  6071. min_samples_leaf=1, min_samples_split=2,
  6072. min_weight_fraction_leaf=0.0, presort='deprecated',
  6073. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582e37fa0>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 2, 'min_impurity_decrease': 0, 'max_features': 'log2', 'max_depth': 14, 'criterion': 'entropy'})
  6074. 2022-01-17 16:22:02,743:INFO:Checking exceptions
  6075. 2022-01-17 16:22:02,743:INFO:Importing libraries
  6076. 2022-01-17 16:22:02,743:INFO:Copying training dataset
  6077. 2022-01-17 16:22:02,744:INFO:Defining folds
  6078. 2022-01-17 16:22:02,744:INFO:Declaring metric variables
  6079. 2022-01-17 16:22:02,749:INFO:Importing untrained model
  6080. 2022-01-17 16:22:02,749:INFO:Declaring custom model
  6081. 2022-01-17 16:22:02,754:INFO:Decision Tree Classifier Imported succesfully
  6082. 2022-01-17 16:22:02,765:INFO:Starting cross validation
  6083. 2022-01-17 16:22:02,765:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6084. 2022-01-17 16:22:03,022:INFO:Calculating mean and std
  6085. 2022-01-17 16:22:03,022:INFO:Creating metrics dataframe
  6086. 2022-01-17 16:22:03,029:INFO:Finalizing model
  6087. 2022-01-17 16:22:03,047:INFO:Uploading results into container
  6088. 2022-01-17 16:22:03,048:INFO:Uploading model into container now
  6089. 2022-01-17 16:22:03,048:INFO:create_model_container: 17
  6090. 2022-01-17 16:22:03,048:INFO:master_model_container: 17
  6091. 2022-01-17 16:22:03,048:INFO:display_container: 5
  6092. 2022-01-17 16:22:03,049:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6093. max_depth=14, max_features='log2', max_leaf_nodes=None,
  6094. min_impurity_decrease=0, min_impurity_split=None,
  6095. min_samples_leaf=2, min_samples_split=5,
  6096. min_weight_fraction_leaf=0.0, presort='deprecated',
  6097. random_state=424, splitter='best')
  6098. 2022-01-17 16:22:03,049:INFO:create_model() succesfully completed......................................
  6099. 2022-01-17 16:22:03,129:INFO:SubProcess create_model() end ==================================
  6100. 2022-01-17 16:22:03,138:INFO:create_model_container: 17
  6101. 2022-01-17 16:22:03,139:INFO:master_model_container: 17
  6102. 2022-01-17 16:22:03,139:INFO:display_container: 5
  6103. 2022-01-17 16:22:03,139:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6104. max_depth=14, max_features='log2', max_leaf_nodes=None,
  6105. min_impurity_decrease=0, min_impurity_split=None,
  6106. min_samples_leaf=2, min_samples_split=5,
  6107. min_weight_fraction_leaf=0.0, presort='deprecated',
  6108. random_state=424, splitter='best')
  6109. 2022-01-17 16:22:03,139:INFO:tune_model() succesfully completed......................................
  6110. 2022-01-17 16:22:20,303:INFO:Initializing create_model()
  6111. 2022-01-17 16:22:20,304:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6112. 2022-01-17 16:22:20,304:INFO:Checking exceptions
  6113. 2022-01-17 16:22:20,304:INFO:Preparing display monitor
  6114. 2022-01-17 16:22:20,315:INFO:Importing libraries
  6115. 2022-01-17 16:22:20,315:INFO:Copying training dataset
  6116. 2022-01-17 16:22:20,316:INFO:Defining folds
  6117. 2022-01-17 16:22:20,316:INFO:Declaring metric variables
  6118. 2022-01-17 16:22:20,321:INFO:Importing untrained model
  6119. 2022-01-17 16:22:20,326:INFO:Decision Tree Classifier Imported succesfully
  6120. 2022-01-17 16:22:20,336:INFO:Starting cross validation
  6121. 2022-01-17 16:22:20,336:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6122. 2022-01-17 16:22:21,284:INFO:Calculating mean and std
  6123. 2022-01-17 16:22:21,285:INFO:Creating metrics dataframe
  6124. 2022-01-17 16:22:21,291:INFO:Finalizing model
  6125. 2022-01-17 16:22:21,386:INFO:Uploading results into container
  6126. 2022-01-17 16:22:21,386:INFO:Uploading model into container now
  6127. 2022-01-17 16:22:21,396:INFO:create_model_container: 18
  6128. 2022-01-17 16:22:21,396:INFO:master_model_container: 18
  6129. 2022-01-17 16:22:21,396:INFO:display_container: 6
  6130. 2022-01-17 16:22:21,396:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6131. max_depth=None, max_features=None, max_leaf_nodes=None,
  6132. min_impurity_decrease=0.0, min_impurity_split=None,
  6133. min_samples_leaf=1, min_samples_split=2,
  6134. min_weight_fraction_leaf=0.0, presort='deprecated',
  6135. random_state=424, splitter='best')
  6136. 2022-01-17 16:22:21,396:INFO:create_model() succesfully completed......................................
  6137. 2022-01-17 16:22:25,374:INFO:Initializing create_model()
  6138. 2022-01-17 16:22:25,374:INFO:create_model(estimator=knn, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6139. 2022-01-17 16:22:25,374:INFO:Checking exceptions
  6140. 2022-01-17 16:22:25,374:INFO:Preparing display monitor
  6141. 2022-01-17 16:22:25,385:INFO:Importing libraries
  6142. 2022-01-17 16:22:25,386:INFO:Copying training dataset
  6143. 2022-01-17 16:22:25,387:INFO:Defining folds
  6144. 2022-01-17 16:22:25,387:INFO:Declaring metric variables
  6145. 2022-01-17 16:22:25,393:INFO:Importing untrained model
  6146. 2022-01-17 16:22:25,398:INFO:K Neighbors Classifier Imported succesfully
  6147. 2022-01-17 16:22:25,408:INFO:Starting cross validation
  6148. 2022-01-17 16:22:25,409:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6149. 2022-01-17 16:22:41,934:INFO:Calculating mean and std
  6150. 2022-01-17 16:22:41,935:INFO:Creating metrics dataframe
  6151. 2022-01-17 16:22:41,942:INFO:Finalizing model
  6152. 2022-01-17 16:22:43,431:INFO:Uploading results into container
  6153. 2022-01-17 16:22:43,431:INFO:Uploading model into container now
  6154. 2022-01-17 16:22:43,440:INFO:create_model_container: 19
  6155. 2022-01-17 16:22:43,440:INFO:master_model_container: 19
  6156. 2022-01-17 16:22:43,440:INFO:display_container: 7
  6157. 2022-01-17 16:22:43,441:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6158. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6159. weights='uniform')
  6160. 2022-01-17 16:22:43,441:INFO:create_model() succesfully completed......................................
  6161. 2022-01-17 16:22:51,041:INFO:Initializing evaluate_model()
  6162. 2022-01-17 16:22:51,041:INFO:evaluate_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6163. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6164. weights='uniform'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  6165. 2022-01-17 16:22:51,053:INFO:Initializing plot_model()
  6166. 2022-01-17 16:22:51,054:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6167. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6168. weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  6169. 2022-01-17 16:22:51,054:INFO:Checking exceptions
  6170. 2022-01-17 16:22:51,055:INFO:Preparing display monitor
  6171. 2022-01-17 16:22:51,060:INFO:Preloading libraries
  6172. 2022-01-17 16:22:51,063:INFO:Copying training dataset
  6173. 2022-01-17 16:22:51,064:INFO:Copying test dataset
  6174. 2022-01-17 16:22:51,064:INFO:Plot type: parameter
  6175. 2022-01-17 16:22:51,068:INFO:Visual Rendered Successfully
  6176. 2022-01-17 16:22:51,155:INFO:plot_model() succesfully completed......................................
  6177. 2022-01-17 16:22:53,286:INFO:Initializing plot_model()
  6178. 2022-01-17 16:22:53,287:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6179. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6180. weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  6181. 2022-01-17 16:22:53,287:INFO:Checking exceptions
  6182. 2022-01-17 16:22:53,288:INFO:Preparing display monitor
  6183. 2022-01-17 16:22:53,291:INFO:Preloading libraries
  6184. 2022-01-17 16:22:53,294:INFO:Copying training dataset
  6185. 2022-01-17 16:22:53,295:INFO:Copying test dataset
  6186. 2022-01-17 16:22:53,295:INFO:Plot type: confusion_matrix
  6187. 2022-01-17 16:22:53,296:INFO:Initializing get_config()
  6188. 2022-01-17 16:22:53,296:INFO:get_config(variable=prep_pipe)
  6189. 2022-01-17 16:22:53,299:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  6190. steps=[('dtypes',
  6191. DataTypes_Auto_infer(categorical_features=[],
  6192. display_types=True, features_todrop=[],
  6193. id_columns=[],
  6194. ml_usecase='classification',
  6195. numerical_features=[], target='label',
  6196. time_features=[])),
  6197. ('imputer',
  6198. Simple_Imputer(categorical_strategy='not_available',
  6199. fill_value_categorical=None,
  6200. fill_value_numerical=None,
  6201. numeric_strate...
  6202. target='label')),
  6203. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  6204. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  6205. ('dummy', Dummify(target='label')),
  6206. ('fix_perfect', Remove_100(target='label')),
  6207. ('clean_names', Clean_Colum_Names()),
  6208. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  6209. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  6210. verbose=False)
  6211. 2022-01-17 16:22:53,299:INFO:get_config() succesfully completed......................................
  6212. 2022-01-17 16:22:53,300:INFO:Fitting Model
  6213. 2022-01-17 16:22:53,306:INFO:Scoring test/hold-out set
  6214. 2022-01-17 16:22:58,388:INFO:Visual Rendered Successfully
  6215. 2022-01-17 16:22:58,458:INFO:plot_model() succesfully completed......................................
  6216. 2022-01-17 16:23:02,216:INFO:Initializing plot_model()
  6217. 2022-01-17 16:23:02,216:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6218. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6219. weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6220. 2022-01-17 16:23:02,216:INFO:Checking exceptions
  6221. 2022-01-17 16:23:04,690:INFO:Initializing plot_model()
  6222. 2022-01-17 16:23:04,691:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  6223. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  6224. weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6225. 2022-01-17 16:23:04,691:INFO:Checking exceptions
  6226. 2022-01-17 16:23:10,866:INFO:Initializing create_model()
  6227. 2022-01-17 16:23:10,866:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6228. 2022-01-17 16:23:10,866:INFO:Checking exceptions
  6229. 2022-01-17 16:23:10,867:INFO:Preparing display monitor
  6230. 2022-01-17 16:23:10,877:INFO:Importing libraries
  6231. 2022-01-17 16:23:10,878:INFO:Copying training dataset
  6232. 2022-01-17 16:23:10,879:INFO:Defining folds
  6233. 2022-01-17 16:23:10,879:INFO:Declaring metric variables
  6234. 2022-01-17 16:23:10,884:INFO:Importing untrained model
  6235. 2022-01-17 16:23:10,889:INFO:Decision Tree Classifier Imported succesfully
  6236. 2022-01-17 16:23:10,899:INFO:Starting cross validation
  6237. 2022-01-17 16:23:10,900:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6238. 2022-01-17 16:23:11,844:INFO:Calculating mean and std
  6239. 2022-01-17 16:23:11,845:INFO:Creating metrics dataframe
  6240. 2022-01-17 16:23:11,852:INFO:Finalizing model
  6241. 2022-01-17 16:23:11,947:INFO:Uploading results into container
  6242. 2022-01-17 16:23:11,947:INFO:Uploading model into container now
  6243. 2022-01-17 16:23:11,957:INFO:create_model_container: 20
  6244. 2022-01-17 16:23:11,957:INFO:master_model_container: 20
  6245. 2022-01-17 16:23:11,957:INFO:display_container: 8
  6246. 2022-01-17 16:23:11,957:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6247. max_depth=None, max_features=None, max_leaf_nodes=None,
  6248. min_impurity_decrease=0.0, min_impurity_split=None,
  6249. min_samples_leaf=1, min_samples_split=2,
  6250. min_weight_fraction_leaf=0.0, presort='deprecated',
  6251. random_state=424, splitter='best')
  6252. 2022-01-17 16:23:11,957:INFO:create_model() succesfully completed......................................
  6253. 2022-01-17 16:23:16,238:INFO:Initializing evaluate_model()
  6254. 2022-01-17 16:23:16,238:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6255. max_depth=None, max_features=None, max_leaf_nodes=None,
  6256. min_impurity_decrease=0.0, min_impurity_split=None,
  6257. min_samples_leaf=1, min_samples_split=2,
  6258. min_weight_fraction_leaf=0.0, presort='deprecated',
  6259. random_state=424, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  6260. 2022-01-17 16:23:16,249:INFO:Initializing plot_model()
  6261. 2022-01-17 16:23:16,249:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6262. max_depth=None, max_features=None, max_leaf_nodes=None,
  6263. min_impurity_decrease=0.0, min_impurity_split=None,
  6264. min_samples_leaf=1, min_samples_split=2,
  6265. min_weight_fraction_leaf=0.0, presort='deprecated',
  6266. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  6267. 2022-01-17 16:23:16,249:INFO:Checking exceptions
  6268. 2022-01-17 16:23:16,250:INFO:Preparing display monitor
  6269. 2022-01-17 16:23:16,254:INFO:Preloading libraries
  6270. 2022-01-17 16:23:16,255:INFO:Copying training dataset
  6271. 2022-01-17 16:23:16,256:INFO:Copying test dataset
  6272. 2022-01-17 16:23:16,256:INFO:Plot type: parameter
  6273. 2022-01-17 16:23:16,261:INFO:Visual Rendered Successfully
  6274. 2022-01-17 16:23:16,339:INFO:plot_model() succesfully completed......................................
  6275. 2022-01-17 16:23:18,308:INFO:Initializing plot_model()
  6276. 2022-01-17 16:23:18,308:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6277. max_depth=None, max_features=None, max_leaf_nodes=None,
  6278. min_impurity_decrease=0.0, min_impurity_split=None,
  6279. min_samples_leaf=1, min_samples_split=2,
  6280. min_weight_fraction_leaf=0.0, presort='deprecated',
  6281. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6282. 2022-01-17 16:23:18,308:INFO:Checking exceptions
  6283. 2022-01-17 16:23:18,309:INFO:Preparing display monitor
  6284. 2022-01-17 16:23:18,313:INFO:Preloading libraries
  6285. 2022-01-17 16:23:18,314:INFO:Copying training dataset
  6286. 2022-01-17 16:23:18,315:INFO:Copying test dataset
  6287. 2022-01-17 16:23:18,315:INFO:Plot type: feature
  6288. 2022-01-17 16:23:18,316:WARNING:No coef_ found. Trying feature_importances_
  6289. 2022-01-17 16:23:18,390:INFO:Visual Rendered Successfully
  6290. 2022-01-17 16:23:18,465:INFO:plot_model() succesfully completed......................................
  6291. 2022-01-17 16:23:20,332:INFO:Initializing plot_model()
  6292. 2022-01-17 16:23:20,332:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6293. max_depth=None, max_features=None, max_leaf_nodes=None,
  6294. min_impurity_decrease=0.0, min_impurity_split=None,
  6295. min_samples_leaf=1, min_samples_split=2,
  6296. min_weight_fraction_leaf=0.0, presort='deprecated',
  6297. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6298. 2022-01-17 16:23:20,333:INFO:Checking exceptions
  6299. 2022-01-17 16:23:20,333:INFO:Preparing display monitor
  6300. 2022-01-17 16:23:20,338:INFO:Preloading libraries
  6301. 2022-01-17 16:23:20,338:INFO:Copying training dataset
  6302. 2022-01-17 16:23:20,339:INFO:Copying test dataset
  6303. 2022-01-17 16:23:20,340:INFO:Plot type: feature_all
  6304. 2022-01-17 16:23:20,341:WARNING:No coef_ found. Trying feature_importances_
  6305. 2022-01-17 16:23:20,551:INFO:Visual Rendered Successfully
  6306. 2022-01-17 16:23:20,630:INFO:plot_model() succesfully completed......................................
  6307. 2022-01-17 16:23:23,527:INFO:Initializing plot_model()
  6308. 2022-01-17 16:23:23,527:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6309. max_depth=None, max_features=None, max_leaf_nodes=None,
  6310. min_impurity_decrease=0.0, min_impurity_split=None,
  6311. min_samples_leaf=1, min_samples_split=2,
  6312. min_weight_fraction_leaf=0.0, presort='deprecated',
  6313. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6314. 2022-01-17 16:23:23,527:INFO:Checking exceptions
  6315. 2022-01-17 16:23:23,528:INFO:Preparing display monitor
  6316. 2022-01-17 16:23:23,532:INFO:Preloading libraries
  6317. 2022-01-17 16:23:23,533:INFO:Copying training dataset
  6318. 2022-01-17 16:23:23,534:INFO:Copying test dataset
  6319. 2022-01-17 16:23:23,534:INFO:Plot type: feature
  6320. 2022-01-17 16:23:23,535:WARNING:No coef_ found. Trying feature_importances_
  6321. 2022-01-17 16:23:23,608:INFO:Visual Rendered Successfully
  6322. 2022-01-17 16:23:23,685:INFO:plot_model() succesfully completed......................................
  6323. 2022-01-17 16:25:43,316:INFO:Initializing plot_model()
  6324. 2022-01-17 16:25:43,316:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6325. max_depth=None, max_features=None, max_leaf_nodes=None,
  6326. min_impurity_decrease=0.0, min_impurity_split=None,
  6327. min_samples_leaf=1, min_samples_split=2,
  6328. min_weight_fraction_leaf=0.0, presort='deprecated',
  6329. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6330. 2022-01-17 16:25:43,316:INFO:Checking exceptions
  6331. 2022-01-17 16:25:43,317:INFO:Preparing display monitor
  6332. 2022-01-17 16:25:43,321:INFO:Preloading libraries
  6333. 2022-01-17 16:25:43,322:INFO:Copying training dataset
  6334. 2022-01-17 16:25:43,322:INFO:Copying test dataset
  6335. 2022-01-17 16:25:43,323:INFO:Plot type: feature_all
  6336. 2022-01-17 16:25:43,324:WARNING:No coef_ found. Trying feature_importances_
  6337. 2022-01-17 16:25:43,535:INFO:Visual Rendered Successfully
  6338. 2022-01-17 16:25:43,610:INFO:plot_model() succesfully completed......................................
  6339. 2022-01-17 16:29:27,421:INFO:Initializing plot_model()
  6340. 2022-01-17 16:29:27,421:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6341. max_depth=None, max_features=None, max_leaf_nodes=None,
  6342. min_impurity_decrease=0.0, min_impurity_split=None,
  6343. min_samples_leaf=1, min_samples_split=2,
  6344. min_weight_fraction_leaf=0.0, presort='deprecated',
  6345. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6346. 2022-01-17 16:29:27,421:INFO:Checking exceptions
  6347. 2022-01-17 16:29:27,422:INFO:Preparing display monitor
  6348. 2022-01-17 16:29:27,426:INFO:Preloading libraries
  6349. 2022-01-17 16:29:27,427:INFO:Copying training dataset
  6350. 2022-01-17 16:29:27,428:INFO:Copying test dataset
  6351. 2022-01-17 16:29:27,428:INFO:Plot type: feature
  6352. 2022-01-17 16:29:27,429:WARNING:No coef_ found. Trying feature_importances_
  6353. 2022-01-17 16:29:27,505:INFO:Visual Rendered Successfully
  6354. 2022-01-17 16:29:27,591:INFO:plot_model() succesfully completed......................................
  6355. 2022-01-17 16:30:26,479:INFO:Initializing plot_model()
  6356. 2022-01-17 16:30:26,480:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6357. max_depth=None, max_features=None, max_leaf_nodes=None,
  6358. min_impurity_decrease=0.0, min_impurity_split=None,
  6359. min_samples_leaf=1, min_samples_split=2,
  6360. min_weight_fraction_leaf=0.0, presort='deprecated',
  6361. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  6362. 2022-01-17 16:30:26,480:INFO:Checking exceptions
  6363. 2022-01-17 16:30:26,481:INFO:Preparing display monitor
  6364. 2022-01-17 16:30:26,484:INFO:Preloading libraries
  6365. 2022-01-17 16:30:26,485:INFO:Copying training dataset
  6366. 2022-01-17 16:30:26,486:INFO:Copying test dataset
  6367. 2022-01-17 16:30:26,486:INFO:Plot type: confusion_matrix
  6368. 2022-01-17 16:30:26,487:INFO:Initializing get_config()
  6369. 2022-01-17 16:30:26,487:INFO:get_config(variable=prep_pipe)
  6370. 2022-01-17 16:30:26,491:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  6371. steps=[('dtypes',
  6372. DataTypes_Auto_infer(categorical_features=[],
  6373. display_types=True, features_todrop=[],
  6374. id_columns=[],
  6375. ml_usecase='classification',
  6376. numerical_features=[], target='label',
  6377. time_features=[])),
  6378. ('imputer',
  6379. Simple_Imputer(categorical_strategy='not_available',
  6380. fill_value_categorical=None,
  6381. fill_value_numerical=None,
  6382. numeric_strate...
  6383. target='label')),
  6384. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  6385. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  6386. ('dummy', Dummify(target='label')),
  6387. ('fix_perfect', Remove_100(target='label')),
  6388. ('clean_names', Clean_Colum_Names()),
  6389. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  6390. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  6391. verbose=False)
  6392. 2022-01-17 16:30:26,491:INFO:get_config() succesfully completed......................................
  6393. 2022-01-17 16:30:26,491:INFO:Fitting Model
  6394. 2022-01-17 16:30:26,492:INFO:Scoring test/hold-out set
  6395. 2022-01-17 16:30:26,577:INFO:Visual Rendered Successfully
  6396. 2022-01-17 16:30:26,650:INFO:plot_model() succesfully completed......................................
  6397. 2022-01-17 16:30:54,379:INFO:Initializing plot_model()
  6398. 2022-01-17 16:30:54,379:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6399. max_depth=None, max_features=None, max_leaf_nodes=None,
  6400. min_impurity_decrease=0.0, min_impurity_split=None,
  6401. min_samples_leaf=1, min_samples_split=2,
  6402. min_weight_fraction_leaf=0.0, presort='deprecated',
  6403. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6404. 2022-01-17 16:30:54,379:INFO:Checking exceptions
  6405. 2022-01-17 16:30:54,380:INFO:Preparing display monitor
  6406. 2022-01-17 16:30:54,384:INFO:Preloading libraries
  6407. 2022-01-17 16:30:54,385:INFO:Copying training dataset
  6408. 2022-01-17 16:30:54,386:INFO:Copying test dataset
  6409. 2022-01-17 16:30:54,386:INFO:Plot type: feature
  6410. 2022-01-17 16:30:54,387:WARNING:No coef_ found. Trying feature_importances_
  6411. 2022-01-17 16:30:54,461:INFO:Visual Rendered Successfully
  6412. 2022-01-17 16:30:54,542:INFO:plot_model() succesfully completed......................................
  6413. 2022-01-17 16:30:58,346:INFO:Initializing plot_model()
  6414. 2022-01-17 16:30:58,346:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6415. max_depth=None, max_features=None, max_leaf_nodes=None,
  6416. min_impurity_decrease=0.0, min_impurity_split=None,
  6417. min_samples_leaf=1, min_samples_split=2,
  6418. min_weight_fraction_leaf=0.0, presort='deprecated',
  6419. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6420. 2022-01-17 16:30:58,346:INFO:Checking exceptions
  6421. 2022-01-17 16:30:58,347:INFO:Preparing display monitor
  6422. 2022-01-17 16:30:58,351:INFO:Preloading libraries
  6423. 2022-01-17 16:30:58,352:INFO:Copying training dataset
  6424. 2022-01-17 16:30:58,352:INFO:Copying test dataset
  6425. 2022-01-17 16:30:58,353:INFO:Plot type: feature_all
  6426. 2022-01-17 16:30:58,354:WARNING:No coef_ found. Trying feature_importances_
  6427. 2022-01-17 16:30:58,568:INFO:Visual Rendered Successfully
  6428. 2022-01-17 16:30:58,648:INFO:plot_model() succesfully completed......................................
  6429. 2022-01-17 16:31:23,578:INFO:Initializing plot_model()
  6430. 2022-01-17 16:31:23,578:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6431. max_depth=None, max_features=None, max_leaf_nodes=None,
  6432. min_impurity_decrease=0.0, min_impurity_split=None,
  6433. min_samples_leaf=1, min_samples_split=2,
  6434. min_weight_fraction_leaf=0.0, presort='deprecated',
  6435. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  6436. 2022-01-17 16:31:23,578:INFO:Checking exceptions
  6437. 2022-01-17 16:31:23,579:INFO:Preparing display monitor
  6438. 2022-01-17 16:31:23,583:INFO:Preloading libraries
  6439. 2022-01-17 16:31:23,584:INFO:Copying training dataset
  6440. 2022-01-17 16:31:23,585:INFO:Copying test dataset
  6441. 2022-01-17 16:31:23,586:INFO:Plot type: feature
  6442. 2022-01-17 16:31:23,587:WARNING:No coef_ found. Trying feature_importances_
  6443. 2022-01-17 16:31:23,662:INFO:Visual Rendered Successfully
  6444. 2022-01-17 16:31:23,741:INFO:plot_model() succesfully completed......................................
  6445. 2022-01-17 16:33:31,624:INFO:Initializing plot_model()
  6446. 2022-01-17 16:33:31,624:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6447. max_depth=None, max_features=None, max_leaf_nodes=None,
  6448. min_impurity_decrease=0.0, min_impurity_split=None,
  6449. min_samples_leaf=1, min_samples_split=2,
  6450. min_weight_fraction_leaf=0.0, presort='deprecated',
  6451. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  6452. 2022-01-17 16:33:31,624:INFO:Checking exceptions
  6453. 2022-01-17 16:33:31,625:INFO:Preparing display monitor
  6454. 2022-01-17 16:33:31,630:INFO:Preloading libraries
  6455. 2022-01-17 16:33:31,631:INFO:Copying training dataset
  6456. 2022-01-17 16:33:31,632:INFO:Copying test dataset
  6457. 2022-01-17 16:33:31,632:INFO:Plot type: feature_all
  6458. 2022-01-17 16:33:31,633:WARNING:No coef_ found. Trying feature_importances_
  6459. 2022-01-17 16:33:31,871:INFO:Visual Rendered Successfully
  6460. 2022-01-17 16:33:31,956:INFO:plot_model() succesfully completed......................................
  6461. 2022-01-17 16:42:17,265:INFO:Initializing plot_model()
  6462. 2022-01-17 16:42:17,265:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6463. max_depth=None, max_features=None, max_leaf_nodes=None,
  6464. min_impurity_decrease=0.0, min_impurity_split=None,
  6465. min_samples_leaf=1, min_samples_split=2,
  6466. min_weight_fraction_leaf=0.0, presort='deprecated',
  6467. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
  6468. 2022-01-17 16:42:17,265:INFO:Checking exceptions
  6469. 2022-01-17 16:42:17,266:INFO:Preparing display monitor
  6470. 2022-01-17 16:42:17,271:INFO:Preloading libraries
  6471. 2022-01-17 16:42:17,271:INFO:Copying training dataset
  6472. 2022-01-17 16:42:17,272:INFO:Copying test dataset
  6473. 2022-01-17 16:42:17,273:INFO:Plot type: boundary
  6474. 2022-01-17 16:42:17,277:INFO:Fitting StandardScaler()
  6475. 2022-01-17 16:42:17,296:INFO:Fitting PCA()
  6476. 2022-01-17 16:42:17,487:INFO:Initializing get_config()
  6477. 2022-01-17 16:42:17,490:INFO:get_config(variable=prep_pipe)
  6478. 2022-01-17 16:42:17,495:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  6479. steps=[('dtypes',
  6480. DataTypes_Auto_infer(categorical_features=[],
  6481. display_types=True, features_todrop=[],
  6482. id_columns=[],
  6483. ml_usecase='classification',
  6484. numerical_features=[], target='label',
  6485. time_features=[])),
  6486. ('imputer',
  6487. Simple_Imputer(categorical_strategy='not_available',
  6488. fill_value_categorical=None,
  6489. fill_value_numerical=None,
  6490. numeric_strate...
  6491. target='label')),
  6492. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  6493. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  6494. ('dummy', Dummify(target='label')),
  6495. ('fix_perfect', Remove_100(target='label')),
  6496. ('clean_names', Clean_Colum_Names()),
  6497. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  6498. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  6499. verbose=False)
  6500. 2022-01-17 16:42:17,501:INFO:get_config() succesfully completed......................................
  6501. 2022-01-17 16:42:17,502:INFO:Fitting Model
  6502. 2022-01-17 16:42:18,546:INFO:Visual Rendered Successfully
  6503. 2022-01-17 16:42:18,654:INFO:plot_model() succesfully completed......................................
  6504. 2022-01-17 16:47:25,336:INFO:Initializing plot_model()
  6505. 2022-01-17 16:47:25,336:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6506. max_depth=None, max_features=None, max_leaf_nodes=None,
  6507. min_impurity_decrease=0.0, min_impurity_split=None,
  6508. min_samples_leaf=1, min_samples_split=2,
  6509. min_weight_fraction_leaf=0.0, presort='deprecated',
  6510. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  6511. 2022-01-17 16:47:25,336:INFO:Checking exceptions
  6512. 2022-01-17 16:47:25,337:INFO:Preparing display monitor
  6513. 2022-01-17 16:47:25,341:INFO:Preloading libraries
  6514. 2022-01-17 16:47:25,342:INFO:Copying training dataset
  6515. 2022-01-17 16:47:25,343:INFO:Copying test dataset
  6516. 2022-01-17 16:47:25,343:INFO:Plot type: gain
  6517. 2022-01-17 16:47:25,344:INFO:Generating predictions / predict_proba on X_test
  6518. 2022-01-17 16:47:25,438:INFO:Visual Rendered Successfully
  6519. 2022-01-17 16:47:25,525:INFO:plot_model() succesfully completed......................................
  6520. 2022-01-17 16:47:27,740:INFO:Initializing plot_model()
  6521. 2022-01-17 16:47:27,740:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6522. max_depth=None, max_features=None, max_leaf_nodes=None,
  6523. min_impurity_decrease=0.0, min_impurity_split=None,
  6524. min_samples_leaf=1, min_samples_split=2,
  6525. min_weight_fraction_leaf=0.0, presort='deprecated',
  6526. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  6527. 2022-01-17 16:47:27,740:INFO:Checking exceptions
  6528. 2022-01-17 16:47:27,741:INFO:Preparing display monitor
  6529. 2022-01-17 16:47:27,745:INFO:Preloading libraries
  6530. 2022-01-17 16:47:27,746:INFO:Copying training dataset
  6531. 2022-01-17 16:47:27,747:INFO:Copying test dataset
  6532. 2022-01-17 16:47:27,747:INFO:Plot type: tree
  6533. 2022-01-17 16:47:27,756:INFO:Plotting decision trees
  6534. 2022-01-17 16:47:27,756:INFO:Plotting tree 0
  6535. 2022-01-17 16:48:17,096:INFO:Visual Rendered Successfully
  6536. 2022-01-17 16:48:17,209:INFO:plot_model() succesfully completed......................................
  6537. 2022-01-17 16:51:12,283:INFO:Initializing plot_model()
  6538. 2022-01-17 16:51:12,283:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6539. max_depth=None, max_features=None, max_leaf_nodes=None,
  6540. min_impurity_decrease=0.0, min_impurity_split=None,
  6541. min_samples_leaf=1, min_samples_split=2,
  6542. min_weight_fraction_leaf=0.0, presort='deprecated',
  6543. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
  6544. 2022-01-17 16:51:12,283:INFO:Checking exceptions
  6545. 2022-01-17 16:51:12,284:INFO:Preparing display monitor
  6546. 2022-01-17 16:51:12,288:INFO:Preloading libraries
  6547. 2022-01-17 16:51:12,289:INFO:Copying training dataset
  6548. 2022-01-17 16:51:12,290:INFO:Copying test dataset
  6549. 2022-01-17 16:51:12,290:INFO:Plot type: ks
  6550. 2022-01-17 16:51:12,291:INFO:Generating predictions / predict_proba on X_test
  6551. 2022-01-17 16:51:12,401:INFO:Visual Rendered Successfully
  6552. 2022-01-17 16:51:12,488:INFO:plot_model() succesfully completed......................................
  6553. 2022-01-17 16:51:17,944:INFO:Initializing plot_model()
  6554. 2022-01-17 16:51:17,944:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6555. max_depth=None, max_features=None, max_leaf_nodes=None,
  6556. min_impurity_decrease=0.0, min_impurity_split=None,
  6557. min_samples_leaf=1, min_samples_split=2,
  6558. min_weight_fraction_leaf=0.0, presort='deprecated',
  6559. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  6560. 2022-01-17 16:51:17,944:INFO:Checking exceptions
  6561. 2022-01-17 16:51:17,945:INFO:Preparing display monitor
  6562. 2022-01-17 16:51:17,949:INFO:Preloading libraries
  6563. 2022-01-17 16:51:17,950:INFO:Copying training dataset
  6564. 2022-01-17 16:51:17,951:INFO:Copying test dataset
  6565. 2022-01-17 16:51:17,952:INFO:Plot type: class_report
  6566. 2022-01-17 16:51:17,953:INFO:Initializing get_config()
  6567. 2022-01-17 16:51:17,953:INFO:get_config(variable=prep_pipe)
  6568. 2022-01-17 16:51:17,956:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  6569. steps=[('dtypes',
  6570. DataTypes_Auto_infer(categorical_features=[],
  6571. display_types=True, features_todrop=[],
  6572. id_columns=[],
  6573. ml_usecase='classification',
  6574. numerical_features=[], target='label',
  6575. time_features=[])),
  6576. ('imputer',
  6577. Simple_Imputer(categorical_strategy='not_available',
  6578. fill_value_categorical=None,
  6579. fill_value_numerical=None,
  6580. numeric_strate...
  6581. target='label')),
  6582. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  6583. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  6584. ('dummy', Dummify(target='label')),
  6585. ('fix_perfect', Remove_100(target='label')),
  6586. ('clean_names', Clean_Colum_Names()),
  6587. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  6588. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  6589. verbose=False)
  6590. 2022-01-17 16:51:17,956:INFO:get_config() succesfully completed......................................
  6591. 2022-01-17 16:51:17,956:INFO:Fitting Model
  6592. 2022-01-17 16:51:17,957:INFO:Scoring test/hold-out set
  6593. 2022-01-17 16:51:18,078:INFO:Visual Rendered Successfully
  6594. 2022-01-17 16:51:18,148:INFO:plot_model() succesfully completed......................................
  6595. 2022-01-17 16:51:20,295:INFO:Initializing plot_model()
  6596. 2022-01-17 16:51:20,296:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6597. max_depth=None, max_features=None, max_leaf_nodes=None,
  6598. min_impurity_decrease=0.0, min_impurity_split=None,
  6599. min_samples_leaf=1, min_samples_split=2,
  6600. min_weight_fraction_leaf=0.0, presort='deprecated',
  6601. random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
  6602. 2022-01-17 16:51:20,296:INFO:Checking exceptions
  6603. 2022-01-17 16:51:20,297:INFO:Preparing display monitor
  6604. 2022-01-17 16:51:20,300:INFO:Preloading libraries
  6605. 2022-01-17 16:51:20,301:INFO:Copying training dataset
  6606. 2022-01-17 16:51:20,302:INFO:Copying test dataset
  6607. 2022-01-17 16:51:20,303:INFO:Plot type: rfe
  6608. 2022-01-17 16:51:20,305:INFO:Fitting Model
  6609. 2022-01-17 17:00:37,512:INFO:Visual Rendered Successfully
  6610. 2022-01-17 17:00:37,586:INFO:plot_model() succesfully completed......................................
  6611. 2022-01-18 14:14:57,081:INFO:Initializing create_model()
  6612. 2022-01-18 14:14:57,081:INFO:create_model(estimator=rt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6613. 2022-01-18 14:14:57,082:INFO:Checking exceptions
  6614. 2022-01-18 14:15:10,182:INFO:Initializing create_model()
  6615. 2022-01-18 14:15:10,183:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6616. 2022-01-18 14:15:10,183:INFO:Checking exceptions
  6617. 2022-01-18 14:15:10,183:INFO:Preparing display monitor
  6618. 2022-01-18 14:15:10,197:INFO:Importing libraries
  6619. 2022-01-18 14:15:10,197:INFO:Copying training dataset
  6620. 2022-01-18 14:15:10,199:INFO:Defining folds
  6621. 2022-01-18 14:15:10,199:INFO:Declaring metric variables
  6622. 2022-01-18 14:15:10,205:INFO:Importing untrained model
  6623. 2022-01-18 14:15:10,210:INFO:Random Forest Classifier Imported succesfully
  6624. 2022-01-18 14:15:10,220:INFO:Starting cross validation
  6625. 2022-01-18 14:15:10,221:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6626. 2022-01-18 14:15:17,630:INFO:Calculating mean and std
  6627. 2022-01-18 14:15:17,631:INFO:Creating metrics dataframe
  6628. 2022-01-18 14:15:17,639:INFO:Finalizing model
  6629. 2022-01-18 14:15:18,022:INFO:Uploading results into container
  6630. 2022-01-18 14:15:18,022:INFO:Uploading model into container now
  6631. 2022-01-18 14:15:18,033:INFO:create_model_container: 21
  6632. 2022-01-18 14:15:18,033:INFO:master_model_container: 21
  6633. 2022-01-18 14:15:18,033:INFO:display_container: 9
  6634. 2022-01-18 14:15:18,034:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  6635. criterion='gini', max_depth=None, max_features='auto',
  6636. max_leaf_nodes=None, max_samples=None,
  6637. min_impurity_decrease=0.0, min_impurity_split=None,
  6638. min_samples_leaf=1, min_samples_split=2,
  6639. min_weight_fraction_leaf=0.0, n_estimators=100,
  6640. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  6641. warm_start=False)
  6642. 2022-01-18 14:15:18,034:INFO:create_model() succesfully completed......................................
  6643. 2022-01-18 14:17:27,784:INFO:Initializing create_model()
  6644. 2022-01-18 14:17:27,785:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6645. 2022-01-18 14:17:27,785:INFO:Checking exceptions
  6646. 2022-01-18 14:18:02,077:INFO:Initializing create_model()
  6647. 2022-01-18 14:18:02,077:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6648. 2022-01-18 14:18:02,078:INFO:Checking exceptions
  6649. 2022-01-18 14:18:02,078:INFO:Preparing display monitor
  6650. 2022-01-18 14:18:02,089:INFO:Importing libraries
  6651. 2022-01-18 14:18:02,090:INFO:Copying training dataset
  6652. 2022-01-18 14:18:02,092:INFO:Defining folds
  6653. 2022-01-18 14:18:02,092:INFO:Declaring metric variables
  6654. 2022-01-18 14:18:02,096:INFO:Importing untrained model
  6655. 2022-01-18 14:18:02,101:INFO:Random Forest Classifier Imported succesfully
  6656. 2022-01-18 14:18:02,112:INFO:Starting cross validation
  6657. 2022-01-18 14:18:02,112:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6658. 2022-01-18 14:18:08,661:INFO:Calculating mean and std
  6659. 2022-01-18 14:18:08,662:INFO:Creating metrics dataframe
  6660. 2022-01-18 14:18:08,669:INFO:Finalizing model
  6661. 2022-01-18 14:18:09,045:INFO:Uploading results into container
  6662. 2022-01-18 14:18:09,045:INFO:Uploading model into container now
  6663. 2022-01-18 14:18:09,055:INFO:create_model_container: 22
  6664. 2022-01-18 14:18:09,055:INFO:master_model_container: 22
  6665. 2022-01-18 14:18:09,056:INFO:display_container: 10
  6666. 2022-01-18 14:18:09,056:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  6667. criterion='gini', max_depth=None, max_features='auto',
  6668. max_leaf_nodes=None, max_samples=None,
  6669. min_impurity_decrease=0.0, min_impurity_split=None,
  6670. min_samples_leaf=1, min_samples_split=2,
  6671. min_weight_fraction_leaf=0.0, n_estimators=100,
  6672. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  6673. warm_start=False)
  6674. 2022-01-18 14:18:09,056:INFO:create_model() succesfully completed......................................
  6675. 2022-01-18 14:21:49,983:INFO:Initializing tune_model()
  6676. 2022-01-18 14:21:49,983:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  6677. criterion='gini', max_depth=None, max_features='auto',
  6678. max_leaf_nodes=None, max_samples=None,
  6679. min_impurity_decrease=0.0, min_impurity_split=None,
  6680. min_samples_leaf=1, min_samples_split=2,
  6681. min_weight_fraction_leaf=0.0, n_estimators=100,
  6682. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  6683. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6684. 2022-01-18 14:21:49,984:INFO:Checking exceptions
  6685. 2022-01-18 14:21:49,985:INFO:Preparing display monitor
  6686. 2022-01-18 14:21:49,996:INFO:Copying training dataset
  6687. 2022-01-18 14:21:49,997:INFO:Checking base model
  6688. 2022-01-18 14:21:49,997:INFO:Base model : Random Forest Classifier
  6689. 2022-01-18 14:21:50,002:INFO:Declaring metric variables
  6690. 2022-01-18 14:21:50,007:INFO:Defining Hyperparameters
  6691. 2022-01-18 14:21:50,099:INFO:Tuning with n_jobs=-1
  6692. 2022-01-18 14:21:50,099:INFO:Initializing RandomizedSearchCV
  6693. 2022-01-18 14:22:05,924:INFO:best_params: {'actual_estimator__n_estimators': 30, 'actual_estimator__min_samples_split': 10, 'actual_estimator__min_samples_leaf': 3, 'actual_estimator__min_impurity_decrease': 0.002, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 10, 'actual_estimator__criterion': 'entropy', 'actual_estimator__class_weight': 'balanced_subsample', 'actual_estimator__bootstrap': True}
  6694. 2022-01-18 14:22:05,925:INFO:Hyperparameter search completed
  6695. 2022-01-18 14:22:05,925:INFO:SubProcess create_model() called ==================================
  6696. 2022-01-18 14:22:05,925:INFO:Initializing create_model()
  6697. 2022-01-18 14:22:05,926:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  6698. criterion='gini', max_depth=None, max_features='auto',
  6699. max_leaf_nodes=None, max_samples=None,
  6700. min_impurity_decrease=0.0, min_impurity_split=None,
  6701. min_samples_leaf=1, min_samples_split=2,
  6702. min_weight_fraction_leaf=0.0, n_estimators=100,
  6703. n_jobs=-1, oob_score=False, random_state=424, verbose=0,
  6704. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cbe370>, kwargs={'n_estimators': 30, 'min_samples_split': 10, 'min_samples_leaf': 3, 'min_impurity_decrease': 0.002, 'max_features': 'sqrt', 'max_depth': 10, 'criterion': 'entropy', 'class_weight': 'balanced_subsample', 'bootstrap': True})
  6705. 2022-01-18 14:22:05,926:INFO:Checking exceptions
  6706. 2022-01-18 14:22:05,926:INFO:Importing libraries
  6707. 2022-01-18 14:22:05,926:INFO:Copying training dataset
  6708. 2022-01-18 14:22:05,927:INFO:Defining folds
  6709. 2022-01-18 14:22:05,927:INFO:Declaring metric variables
  6710. 2022-01-18 14:22:05,933:INFO:Importing untrained model
  6711. 2022-01-18 14:22:05,933:INFO:Declaring custom model
  6712. 2022-01-18 14:22:05,938:INFO:Random Forest Classifier Imported succesfully
  6713. 2022-01-18 14:22:05,948:INFO:Starting cross validation
  6714. 2022-01-18 14:22:05,949:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6715. 2022-01-18 14:22:08,767:INFO:Calculating mean and std
  6716. 2022-01-18 14:22:08,768:INFO:Creating metrics dataframe
  6717. 2022-01-18 14:22:08,776:INFO:Finalizing model
  6718. 2022-01-18 14:22:08,998:INFO:Uploading results into container
  6719. 2022-01-18 14:22:08,999:INFO:Uploading model into container now
  6720. 2022-01-18 14:22:08,999:INFO:create_model_container: 23
  6721. 2022-01-18 14:22:08,999:INFO:master_model_container: 23
  6722. 2022-01-18 14:22:08,999:INFO:display_container: 11
  6723. 2022-01-18 14:22:09,000:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
  6724. class_weight='balanced_subsample', criterion='entropy',
  6725. max_depth=10, max_features='sqrt', max_leaf_nodes=None,
  6726. max_samples=None, min_impurity_decrease=0.002,
  6727. min_impurity_split=None, min_samples_leaf=3,
  6728. min_samples_split=10, min_weight_fraction_leaf=0.0,
  6729. n_estimators=30, n_jobs=-1, oob_score=False,
  6730. random_state=424, verbose=0, warm_start=False)
  6731. 2022-01-18 14:22:09,000:INFO:create_model() succesfully completed......................................
  6732. 2022-01-18 14:22:09,072:INFO:SubProcess create_model() end ==================================
  6733. 2022-01-18 14:22:09,082:INFO:create_model_container: 23
  6734. 2022-01-18 14:22:09,082:INFO:master_model_container: 23
  6735. 2022-01-18 14:22:09,082:INFO:display_container: 11
  6736. 2022-01-18 14:22:09,083:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
  6737. class_weight='balanced_subsample', criterion='entropy',
  6738. max_depth=10, max_features='sqrt', max_leaf_nodes=None,
  6739. max_samples=None, min_impurity_decrease=0.002,
  6740. min_impurity_split=None, min_samples_leaf=3,
  6741. min_samples_split=10, min_weight_fraction_leaf=0.0,
  6742. n_estimators=30, n_jobs=-1, oob_score=False,
  6743. random_state=424, verbose=0, warm_start=False)
  6744. 2022-01-18 14:22:09,083:INFO:tune_model() succesfully completed......................................
  6745. 2022-01-18 14:22:41,168:INFO:Initializing create_model()
  6746. 2022-01-18 14:22:41,169:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  6747. 2022-01-18 14:22:41,169:INFO:Checking exceptions
  6748. 2022-01-18 14:22:41,169:INFO:Preparing display monitor
  6749. 2022-01-18 14:22:41,180:INFO:Importing libraries
  6750. 2022-01-18 14:22:41,180:INFO:Copying training dataset
  6751. 2022-01-18 14:22:41,182:INFO:Defining folds
  6752. 2022-01-18 14:22:41,182:INFO:Declaring metric variables
  6753. 2022-01-18 14:22:41,187:INFO:Importing untrained model
  6754. 2022-01-18 14:22:41,192:INFO:Decision Tree Classifier Imported succesfully
  6755. 2022-01-18 14:22:41,203:INFO:Starting cross validation
  6756. 2022-01-18 14:22:41,204:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6757. 2022-01-18 14:22:42,162:INFO:Calculating mean and std
  6758. 2022-01-18 14:22:42,163:INFO:Creating metrics dataframe
  6759. 2022-01-18 14:22:42,170:INFO:Finalizing model
  6760. 2022-01-18 14:22:42,263:INFO:Uploading results into container
  6761. 2022-01-18 14:22:42,264:INFO:Uploading model into container now
  6762. 2022-01-18 14:22:42,273:INFO:create_model_container: 24
  6763. 2022-01-18 14:22:42,273:INFO:master_model_container: 24
  6764. 2022-01-18 14:22:42,273:INFO:display_container: 12
  6765. 2022-01-18 14:22:42,274:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6766. max_depth=None, max_features=None, max_leaf_nodes=None,
  6767. min_impurity_decrease=0.0, min_impurity_split=None,
  6768. min_samples_leaf=1, min_samples_split=2,
  6769. min_weight_fraction_leaf=0.0, presort='deprecated',
  6770. random_state=424, splitter='best')
  6771. 2022-01-18 14:22:42,274:INFO:create_model() succesfully completed......................................
  6772. 2022-01-18 14:22:45,644:INFO:Initializing tune_model()
  6773. 2022-01-18 14:22:45,645:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6774. max_depth=None, max_features=None, max_leaf_nodes=None,
  6775. min_impurity_decrease=0.0, min_impurity_split=None,
  6776. min_samples_leaf=1, min_samples_split=2,
  6777. min_weight_fraction_leaf=0.0, presort='deprecated',
  6778. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6779. 2022-01-18 14:22:45,645:INFO:Checking exceptions
  6780. 2022-01-18 14:22:45,646:INFO:Preparing display monitor
  6781. 2022-01-18 14:22:45,657:INFO:Copying training dataset
  6782. 2022-01-18 14:22:45,658:INFO:Checking base model
  6783. 2022-01-18 14:22:45,658:INFO:Base model : Decision Tree Classifier
  6784. 2022-01-18 14:22:45,663:INFO:Declaring metric variables
  6785. 2022-01-18 14:22:45,668:INFO:Defining Hyperparameters
  6786. 2022-01-18 14:22:45,746:INFO:Tuning with n_jobs=-1
  6787. 2022-01-18 14:22:45,746:INFO:Initializing RandomizedSearchCV
  6788. 2022-01-18 14:22:46,171:INFO:best_params: {'actual_estimator__min_samples_split': 9, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.01, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 4, 'actual_estimator__criterion': 'entropy'}
  6789. 2022-01-18 14:22:46,171:INFO:Hyperparameter search completed
  6790. 2022-01-18 14:22:46,172:INFO:SubProcess create_model() called ==================================
  6791. 2022-01-18 14:22:46,172:INFO:Initializing create_model()
  6792. 2022-01-18 14:22:46,172:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6793. max_depth=None, max_features=None, max_leaf_nodes=None,
  6794. min_impurity_decrease=0.0, min_impurity_split=None,
  6795. min_samples_leaf=1, min_samples_split=2,
  6796. min_weight_fraction_leaf=0.0, presort='deprecated',
  6797. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582d0a130>, kwargs={'min_samples_split': 9, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.01, 'max_features': 1.0, 'max_depth': 4, 'criterion': 'entropy'})
  6798. 2022-01-18 14:22:46,173:INFO:Checking exceptions
  6799. 2022-01-18 14:22:46,173:INFO:Importing libraries
  6800. 2022-01-18 14:22:46,173:INFO:Copying training dataset
  6801. 2022-01-18 14:22:46,174:INFO:Defining folds
  6802. 2022-01-18 14:22:46,174:INFO:Declaring metric variables
  6803. 2022-01-18 14:22:46,180:INFO:Importing untrained model
  6804. 2022-01-18 14:22:46,180:INFO:Declaring custom model
  6805. 2022-01-18 14:22:46,186:INFO:Decision Tree Classifier Imported succesfully
  6806. 2022-01-18 14:22:46,196:INFO:Starting cross validation
  6807. 2022-01-18 14:22:46,196:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6808. 2022-01-18 14:22:46,517:INFO:Calculating mean and std
  6809. 2022-01-18 14:22:46,518:INFO:Creating metrics dataframe
  6810. 2022-01-18 14:22:46,525:INFO:Finalizing model
  6811. 2022-01-18 14:22:46,548:INFO:Uploading results into container
  6812. 2022-01-18 14:22:46,549:INFO:Uploading model into container now
  6813. 2022-01-18 14:22:46,549:INFO:create_model_container: 25
  6814. 2022-01-18 14:22:46,549:INFO:master_model_container: 25
  6815. 2022-01-18 14:22:46,549:INFO:display_container: 13
  6816. 2022-01-18 14:22:46,550:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6817. max_depth=4, max_features=1.0, max_leaf_nodes=None,
  6818. min_impurity_decrease=0.01, min_impurity_split=None,
  6819. min_samples_leaf=4, min_samples_split=9,
  6820. min_weight_fraction_leaf=0.0, presort='deprecated',
  6821. random_state=424, splitter='best')
  6822. 2022-01-18 14:22:46,550:INFO:create_model() succesfully completed......................................
  6823. 2022-01-18 14:22:46,631:INFO:SubProcess create_model() end ==================================
  6824. 2022-01-18 14:22:46,640:INFO:create_model_container: 25
  6825. 2022-01-18 14:22:46,640:INFO:master_model_container: 25
  6826. 2022-01-18 14:22:46,641:INFO:display_container: 13
  6827. 2022-01-18 14:22:46,641:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6828. max_depth=4, max_features=1.0, max_leaf_nodes=None,
  6829. min_impurity_decrease=0.01, min_impurity_split=None,
  6830. min_samples_leaf=4, min_samples_split=9,
  6831. min_weight_fraction_leaf=0.0, presort='deprecated',
  6832. random_state=424, splitter='best')
  6833. 2022-01-18 14:22:46,641:INFO:tune_model() succesfully completed......................................
  6834. 2022-01-18 14:23:00,551:INFO:Initializing tune_model()
  6835. 2022-01-18 14:23:00,552:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6836. max_depth=None, max_features=None, max_leaf_nodes=None,
  6837. min_impurity_decrease=0.0, min_impurity_split=None,
  6838. min_samples_leaf=1, min_samples_split=2,
  6839. min_weight_fraction_leaf=0.0, presort='deprecated',
  6840. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=prec, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6841. 2022-01-18 14:23:00,552:INFO:Checking exceptions
  6842. 2022-01-18 14:23:04,002:INFO:Initializing tune_model()
  6843. 2022-01-18 14:23:04,002:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6844. max_depth=None, max_features=None, max_leaf_nodes=None,
  6845. min_impurity_decrease=0.0, min_impurity_split=None,
  6846. min_samples_leaf=1, min_samples_split=2,
  6847. min_weight_fraction_leaf=0.0, presort='deprecated',
  6848. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=prec., custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6849. 2022-01-18 14:23:04,002:INFO:Checking exceptions
  6850. 2022-01-18 14:23:08,098:INFO:Initializing tune_model()
  6851. 2022-01-18 14:23:08,098:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6852. max_depth=None, max_features=None, max_leaf_nodes=None,
  6853. min_impurity_decrease=0.0, min_impurity_split=None,
  6854. min_samples_leaf=1, min_samples_split=2,
  6855. min_weight_fraction_leaf=0.0, presort='deprecated',
  6856. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Prec., custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6857. 2022-01-18 14:23:08,099:INFO:Checking exceptions
  6858. 2022-01-18 14:23:08,100:INFO:Preparing display monitor
  6859. 2022-01-18 14:23:08,112:INFO:Copying training dataset
  6860. 2022-01-18 14:23:08,113:INFO:Checking base model
  6861. 2022-01-18 14:23:08,113:INFO:Base model : Decision Tree Classifier
  6862. 2022-01-18 14:23:08,119:INFO:Declaring metric variables
  6863. 2022-01-18 14:23:08,124:INFO:Defining Hyperparameters
  6864. 2022-01-18 14:23:08,207:INFO:Tuning with n_jobs=-1
  6865. 2022-01-18 14:23:08,207:INFO:Initializing RandomizedSearchCV
  6866. 2022-01-18 14:23:08,636:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 2, 'actual_estimator__min_impurity_decrease': 0, 'actual_estimator__max_features': 'log2', 'actual_estimator__max_depth': 14, 'actual_estimator__criterion': 'entropy'}
  6867. 2022-01-18 14:23:08,636:INFO:Hyperparameter search completed
  6868. 2022-01-18 14:23:08,636:INFO:SubProcess create_model() called ==================================
  6869. 2022-01-18 14:23:08,637:INFO:Initializing create_model()
  6870. 2022-01-18 14:23:08,637:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6871. max_depth=None, max_features=None, max_leaf_nodes=None,
  6872. min_impurity_decrease=0.0, min_impurity_split=None,
  6873. min_samples_leaf=1, min_samples_split=2,
  6874. min_weight_fraction_leaf=0.0, presort='deprecated',
  6875. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858441ccd0>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 2, 'min_impurity_decrease': 0, 'max_features': 'log2', 'max_depth': 14, 'criterion': 'entropy'})
  6876. 2022-01-18 14:23:08,637:INFO:Checking exceptions
  6877. 2022-01-18 14:23:08,637:INFO:Importing libraries
  6878. 2022-01-18 14:23:08,637:INFO:Copying training dataset
  6879. 2022-01-18 14:23:08,639:INFO:Defining folds
  6880. 2022-01-18 14:23:08,639:INFO:Declaring metric variables
  6881. 2022-01-18 14:23:08,644:INFO:Importing untrained model
  6882. 2022-01-18 14:23:08,644:INFO:Declaring custom model
  6883. 2022-01-18 14:23:08,649:INFO:Decision Tree Classifier Imported succesfully
  6884. 2022-01-18 14:23:08,658:INFO:Starting cross validation
  6885. 2022-01-18 14:23:08,659:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6886. 2022-01-18 14:23:08,921:INFO:Calculating mean and std
  6887. 2022-01-18 14:23:08,921:INFO:Creating metrics dataframe
  6888. 2022-01-18 14:23:08,928:INFO:Finalizing model
  6889. 2022-01-18 14:23:08,944:INFO:Uploading results into container
  6890. 2022-01-18 14:23:08,944:INFO:Uploading model into container now
  6891. 2022-01-18 14:23:08,944:INFO:create_model_container: 26
  6892. 2022-01-18 14:23:08,944:INFO:master_model_container: 26
  6893. 2022-01-18 14:23:08,944:INFO:display_container: 14
  6894. 2022-01-18 14:23:08,945:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6895. max_depth=14, max_features='log2', max_leaf_nodes=None,
  6896. min_impurity_decrease=0, min_impurity_split=None,
  6897. min_samples_leaf=2, min_samples_split=5,
  6898. min_weight_fraction_leaf=0.0, presort='deprecated',
  6899. random_state=424, splitter='best')
  6900. 2022-01-18 14:23:08,945:INFO:create_model() succesfully completed......................................
  6901. 2022-01-18 14:23:09,029:INFO:SubProcess create_model() end ==================================
  6902. 2022-01-18 14:23:09,039:INFO:create_model_container: 26
  6903. 2022-01-18 14:23:09,039:INFO:master_model_container: 26
  6904. 2022-01-18 14:23:09,039:INFO:display_container: 14
  6905. 2022-01-18 14:23:09,040:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6906. max_depth=14, max_features='log2', max_leaf_nodes=None,
  6907. min_impurity_decrease=0, min_impurity_split=None,
  6908. min_samples_leaf=2, min_samples_split=5,
  6909. min_weight_fraction_leaf=0.0, presort='deprecated',
  6910. random_state=424, splitter='best')
  6911. 2022-01-18 14:23:09,040:INFO:tune_model() succesfully completed......................................
  6912. 2022-01-18 14:23:19,531:INFO:Initializing tune_model()
  6913. 2022-01-18 14:23:19,531:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6914. max_depth=None, max_features=None, max_leaf_nodes=None,
  6915. min_impurity_decrease=0.0, min_impurity_split=None,
  6916. min_samples_leaf=1, min_samples_split=2,
  6917. min_weight_fraction_leaf=0.0, presort='deprecated',
  6918. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=AUC, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6919. 2022-01-18 14:23:19,532:INFO:Checking exceptions
  6920. 2022-01-18 14:23:19,532:INFO:Preparing display monitor
  6921. 2022-01-18 14:23:19,544:INFO:Copying training dataset
  6922. 2022-01-18 14:23:19,545:INFO:Checking base model
  6923. 2022-01-18 14:23:19,545:INFO:Base model : Decision Tree Classifier
  6924. 2022-01-18 14:23:19,551:INFO:Declaring metric variables
  6925. 2022-01-18 14:23:19,557:INFO:Defining Hyperparameters
  6926. 2022-01-18 14:23:19,640:INFO:Tuning with n_jobs=-1
  6927. 2022-01-18 14:23:19,641:INFO:Initializing RandomizedSearchCV
  6928. 2022-01-18 14:23:20,078:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.0001, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 13, 'actual_estimator__criterion': 'entropy'}
  6929. 2022-01-18 14:23:20,079:INFO:Hyperparameter search completed
  6930. 2022-01-18 14:23:20,079:INFO:SubProcess create_model() called ==================================
  6931. 2022-01-18 14:23:20,079:INFO:Initializing create_model()
  6932. 2022-01-18 14:23:20,080:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6933. max_depth=None, max_features=None, max_leaf_nodes=None,
  6934. min_impurity_decrease=0.0, min_impurity_split=None,
  6935. min_samples_leaf=1, min_samples_split=2,
  6936. min_weight_fraction_leaf=0.0, presort='deprecated',
  6937. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cbe370>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.0001, 'max_features': 'sqrt', 'max_depth': 13, 'criterion': 'entropy'})
  6938. 2022-01-18 14:23:20,080:INFO:Checking exceptions
  6939. 2022-01-18 14:23:20,080:INFO:Importing libraries
  6940. 2022-01-18 14:23:20,080:INFO:Copying training dataset
  6941. 2022-01-18 14:23:20,081:INFO:Defining folds
  6942. 2022-01-18 14:23:20,081:INFO:Declaring metric variables
  6943. 2022-01-18 14:23:20,087:INFO:Importing untrained model
  6944. 2022-01-18 14:23:20,087:INFO:Declaring custom model
  6945. 2022-01-18 14:23:20,092:INFO:Decision Tree Classifier Imported succesfully
  6946. 2022-01-18 14:23:20,102:INFO:Starting cross validation
  6947. 2022-01-18 14:23:20,103:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  6948. 2022-01-18 14:23:20,376:INFO:Calculating mean and std
  6949. 2022-01-18 14:23:20,377:INFO:Creating metrics dataframe
  6950. 2022-01-18 14:23:20,384:INFO:Finalizing model
  6951. 2022-01-18 14:23:20,400:INFO:Uploading results into container
  6952. 2022-01-18 14:23:20,400:INFO:Uploading model into container now
  6953. 2022-01-18 14:23:20,400:INFO:create_model_container: 27
  6954. 2022-01-18 14:23:20,401:INFO:master_model_container: 27
  6955. 2022-01-18 14:23:20,401:INFO:display_container: 15
  6956. 2022-01-18 14:23:20,401:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6957. max_depth=13, max_features='sqrt', max_leaf_nodes=None,
  6958. min_impurity_decrease=0.0001, min_impurity_split=None,
  6959. min_samples_leaf=5, min_samples_split=5,
  6960. min_weight_fraction_leaf=0.0, presort='deprecated',
  6961. random_state=424, splitter='best')
  6962. 2022-01-18 14:23:20,401:INFO:create_model() succesfully completed......................................
  6963. 2022-01-18 14:23:20,478:INFO:SubProcess create_model() end ==================================
  6964. 2022-01-18 14:23:20,487:INFO:create_model_container: 27
  6965. 2022-01-18 14:23:20,488:INFO:master_model_container: 27
  6966. 2022-01-18 14:23:20,488:INFO:display_container: 15
  6967. 2022-01-18 14:23:20,488:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  6968. max_depth=13, max_features='sqrt', max_leaf_nodes=None,
  6969. min_impurity_decrease=0.0001, min_impurity_split=None,
  6970. min_samples_leaf=5, min_samples_split=5,
  6971. min_weight_fraction_leaf=0.0, presort='deprecated',
  6972. random_state=424, splitter='best')
  6973. 2022-01-18 14:23:20,488:INFO:tune_model() succesfully completed......................................
  6974. 2022-01-18 14:23:32,000:INFO:Initializing tune_model()
  6975. 2022-01-18 14:23:32,001:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6976. max_depth=None, max_features=None, max_leaf_nodes=None,
  6977. min_impurity_decrease=0.0, min_impurity_split=None,
  6978. min_samples_leaf=1, min_samples_split=2,
  6979. min_weight_fraction_leaf=0.0, presort='deprecated',
  6980. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  6981. 2022-01-18 14:23:32,001:INFO:Checking exceptions
  6982. 2022-01-18 14:23:32,002:INFO:Preparing display monitor
  6983. 2022-01-18 14:23:32,014:INFO:Copying training dataset
  6984. 2022-01-18 14:23:32,015:INFO:Checking base model
  6985. 2022-01-18 14:23:32,015:INFO:Base model : Decision Tree Classifier
  6986. 2022-01-18 14:23:32,021:INFO:Declaring metric variables
  6987. 2022-01-18 14:23:32,026:INFO:Defining Hyperparameters
  6988. 2022-01-18 14:23:32,109:INFO:Tuning with n_jobs=-1
  6989. 2022-01-18 14:23:32,109:INFO:Initializing RandomizedSearchCV
  6990. 2022-01-18 14:23:32,532:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 2, 'actual_estimator__min_impurity_decrease': 0, 'actual_estimator__max_features': 'log2', 'actual_estimator__max_depth': 14, 'actual_estimator__criterion': 'entropy'}
  6991. 2022-01-18 14:23:32,533:INFO:Hyperparameter search completed
  6992. 2022-01-18 14:23:32,533:INFO:SubProcess create_model() called ==================================
  6993. 2022-01-18 14:23:32,534:INFO:Initializing create_model()
  6994. 2022-01-18 14:23:32,534:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  6995. max_depth=None, max_features=None, max_leaf_nodes=None,
  6996. min_impurity_decrease=0.0, min_impurity_split=None,
  6997. min_samples_leaf=1, min_samples_split=2,
  6998. min_weight_fraction_leaf=0.0, presort='deprecated',
  6999. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8583cc6a90>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 2, 'min_impurity_decrease': 0, 'max_features': 'log2', 'max_depth': 14, 'criterion': 'entropy'})
  7000. 2022-01-18 14:23:32,534:INFO:Checking exceptions
  7001. 2022-01-18 14:23:32,534:INFO:Importing libraries
  7002. 2022-01-18 14:23:32,534:INFO:Copying training dataset
  7003. 2022-01-18 14:23:32,536:INFO:Defining folds
  7004. 2022-01-18 14:23:32,536:INFO:Declaring metric variables
  7005. 2022-01-18 14:23:32,541:INFO:Importing untrained model
  7006. 2022-01-18 14:23:32,541:INFO:Declaring custom model
  7007. 2022-01-18 14:23:32,546:INFO:Decision Tree Classifier Imported succesfully
  7008. 2022-01-18 14:23:32,557:INFO:Starting cross validation
  7009. 2022-01-18 14:23:32,558:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7010. 2022-01-18 14:23:32,827:INFO:Calculating mean and std
  7011. 2022-01-18 14:23:32,828:INFO:Creating metrics dataframe
  7012. 2022-01-18 14:23:32,835:INFO:Finalizing model
  7013. 2022-01-18 14:23:32,851:INFO:Uploading results into container
  7014. 2022-01-18 14:23:32,851:INFO:Uploading model into container now
  7015. 2022-01-18 14:23:32,851:INFO:create_model_container: 28
  7016. 2022-01-18 14:23:32,851:INFO:master_model_container: 28
  7017. 2022-01-18 14:23:32,851:INFO:display_container: 16
  7018. 2022-01-18 14:23:32,852:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7019. max_depth=14, max_features='log2', max_leaf_nodes=None,
  7020. min_impurity_decrease=0, min_impurity_split=None,
  7021. min_samples_leaf=2, min_samples_split=5,
  7022. min_weight_fraction_leaf=0.0, presort='deprecated',
  7023. random_state=424, splitter='best')
  7024. 2022-01-18 14:23:32,852:INFO:create_model() succesfully completed......................................
  7025. 2022-01-18 14:23:32,936:INFO:SubProcess create_model() end ==================================
  7026. 2022-01-18 14:23:32,946:INFO:create_model_container: 28
  7027. 2022-01-18 14:23:32,946:INFO:master_model_container: 28
  7028. 2022-01-18 14:23:32,946:INFO:display_container: 16
  7029. 2022-01-18 14:23:32,946:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7030. max_depth=14, max_features='log2', max_leaf_nodes=None,
  7031. min_impurity_decrease=0, min_impurity_split=None,
  7032. min_samples_leaf=2, min_samples_split=5,
  7033. min_weight_fraction_leaf=0.0, presort='deprecated',
  7034. random_state=424, splitter='best')
  7035. 2022-01-18 14:23:32,947:INFO:tune_model() succesfully completed......................................
  7036. 2022-01-18 14:23:38,968:INFO:Initializing tune_model()
  7037. 2022-01-18 14:23:38,968:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7038. max_depth=None, max_features=None, max_leaf_nodes=None,
  7039. min_impurity_decrease=0.0, min_impurity_split=None,
  7040. min_samples_leaf=1, min_samples_split=2,
  7041. min_weight_fraction_leaf=0.0, presort='deprecated',
  7042. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=MCC, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  7043. 2022-01-18 14:23:38,969:INFO:Checking exceptions
  7044. 2022-01-18 14:23:38,970:INFO:Preparing display monitor
  7045. 2022-01-18 14:23:38,980:INFO:Copying training dataset
  7046. 2022-01-18 14:23:38,982:INFO:Checking base model
  7047. 2022-01-18 14:23:38,982:INFO:Base model : Decision Tree Classifier
  7048. 2022-01-18 14:23:38,988:INFO:Declaring metric variables
  7049. 2022-01-18 14:23:38,992:INFO:Defining Hyperparameters
  7050. 2022-01-18 14:23:39,072:INFO:Tuning with n_jobs=-1
  7051. 2022-01-18 14:23:39,072:INFO:Initializing RandomizedSearchCV
  7052. 2022-01-18 14:23:39,510:INFO:best_params: {'actual_estimator__min_samples_split': 9, 'actual_estimator__min_samples_leaf': 4, 'actual_estimator__min_impurity_decrease': 0.01, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 4, 'actual_estimator__criterion': 'entropy'}
  7053. 2022-01-18 14:23:39,511:INFO:Hyperparameter search completed
  7054. 2022-01-18 14:23:39,511:INFO:SubProcess create_model() called ==================================
  7055. 2022-01-18 14:23:39,512:INFO:Initializing create_model()
  7056. 2022-01-18 14:23:39,512:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7057. max_depth=None, max_features=None, max_leaf_nodes=None,
  7058. min_impurity_decrease=0.0, min_impurity_split=None,
  7059. min_samples_leaf=1, min_samples_split=2,
  7060. min_weight_fraction_leaf=0.0, presort='deprecated',
  7061. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582febbb0>, kwargs={'min_samples_split': 9, 'min_samples_leaf': 4, 'min_impurity_decrease': 0.01, 'max_features': 1.0, 'max_depth': 4, 'criterion': 'entropy'})
  7062. 2022-01-18 14:23:39,512:INFO:Checking exceptions
  7063. 2022-01-18 14:23:39,512:INFO:Importing libraries
  7064. 2022-01-18 14:23:39,512:INFO:Copying training dataset
  7065. 2022-01-18 14:23:39,513:INFO:Defining folds
  7066. 2022-01-18 14:23:39,514:INFO:Declaring metric variables
  7067. 2022-01-18 14:23:39,519:INFO:Importing untrained model
  7068. 2022-01-18 14:23:39,519:INFO:Declaring custom model
  7069. 2022-01-18 14:23:39,525:INFO:Decision Tree Classifier Imported succesfully
  7070. 2022-01-18 14:23:39,535:INFO:Starting cross validation
  7071. 2022-01-18 14:23:39,535:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7072. 2022-01-18 14:23:39,858:INFO:Calculating mean and std
  7073. 2022-01-18 14:23:39,858:INFO:Creating metrics dataframe
  7074. 2022-01-18 14:23:39,865:INFO:Finalizing model
  7075. 2022-01-18 14:23:39,889:INFO:Uploading results into container
  7076. 2022-01-18 14:23:39,890:INFO:Uploading model into container now
  7077. 2022-01-18 14:23:39,890:INFO:create_model_container: 29
  7078. 2022-01-18 14:23:39,890:INFO:master_model_container: 29
  7079. 2022-01-18 14:23:39,890:INFO:display_container: 17
  7080. 2022-01-18 14:23:39,890:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7081. max_depth=4, max_features=1.0, max_leaf_nodes=None,
  7082. min_impurity_decrease=0.01, min_impurity_split=None,
  7083. min_samples_leaf=4, min_samples_split=9,
  7084. min_weight_fraction_leaf=0.0, presort='deprecated',
  7085. random_state=424, splitter='best')
  7086. 2022-01-18 14:23:39,891:INFO:create_model() succesfully completed......................................
  7087. 2022-01-18 14:23:39,976:INFO:SubProcess create_model() end ==================================
  7088. 2022-01-18 14:23:39,987:INFO:create_model_container: 29
  7089. 2022-01-18 14:23:39,987:INFO:master_model_container: 29
  7090. 2022-01-18 14:23:39,987:INFO:display_container: 17
  7091. 2022-01-18 14:23:39,988:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7092. max_depth=4, max_features=1.0, max_leaf_nodes=None,
  7093. min_impurity_decrease=0.01, min_impurity_split=None,
  7094. min_samples_leaf=4, min_samples_split=9,
  7095. min_weight_fraction_leaf=0.0, presort='deprecated',
  7096. random_state=424, splitter='best')
  7097. 2022-01-18 14:23:39,988:INFO:tune_model() succesfully completed......................................
  7098. 2022-01-18 14:23:46,047:INFO:Initializing tune_model()
  7099. 2022-01-18 14:23:46,047:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7100. max_depth=None, max_features=None, max_leaf_nodes=None,
  7101. min_impurity_decrease=0.0, min_impurity_split=None,
  7102. min_samples_leaf=1, min_samples_split=2,
  7103. min_weight_fraction_leaf=0.0, presort='deprecated',
  7104. random_state=424, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Kappa, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  7105. 2022-01-18 14:23:46,048:INFO:Checking exceptions
  7106. 2022-01-18 14:23:46,049:INFO:Preparing display monitor
  7107. 2022-01-18 14:23:46,059:INFO:Copying training dataset
  7108. 2022-01-18 14:23:46,060:INFO:Checking base model
  7109. 2022-01-18 14:23:46,060:INFO:Base model : Decision Tree Classifier
  7110. 2022-01-18 14:23:46,066:INFO:Declaring metric variables
  7111. 2022-01-18 14:23:46,070:INFO:Defining Hyperparameters
  7112. 2022-01-18 14:23:46,150:INFO:Tuning with n_jobs=-1
  7113. 2022-01-18 14:23:46,150:INFO:Initializing RandomizedSearchCV
  7114. 2022-01-18 14:23:46,582:INFO:best_params: {'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.0001, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 13, 'actual_estimator__criterion': 'entropy'}
  7115. 2022-01-18 14:23:46,583:INFO:Hyperparameter search completed
  7116. 2022-01-18 14:23:46,584:INFO:SubProcess create_model() called ==================================
  7117. 2022-01-18 14:23:46,584:INFO:Initializing create_model()
  7118. 2022-01-18 14:23:46,584:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7119. max_depth=None, max_features=None, max_leaf_nodes=None,
  7120. min_impurity_decrease=0.0, min_impurity_split=None,
  7121. min_samples_leaf=1, min_samples_split=2,
  7122. min_weight_fraction_leaf=0.0, presort='deprecated',
  7123. random_state=424, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582febbb0>, kwargs={'min_samples_split': 5, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.0001, 'max_features': 'sqrt', 'max_depth': 13, 'criterion': 'entropy'})
  7124. 2022-01-18 14:23:46,584:INFO:Checking exceptions
  7125. 2022-01-18 14:23:46,585:INFO:Importing libraries
  7126. 2022-01-18 14:23:46,585:INFO:Copying training dataset
  7127. 2022-01-18 14:23:46,586:INFO:Defining folds
  7128. 2022-01-18 14:23:46,586:INFO:Declaring metric variables
  7129. 2022-01-18 14:23:46,592:INFO:Importing untrained model
  7130. 2022-01-18 14:23:46,592:INFO:Declaring custom model
  7131. 2022-01-18 14:23:46,597:INFO:Decision Tree Classifier Imported succesfully
  7132. 2022-01-18 14:23:46,607:INFO:Starting cross validation
  7133. 2022-01-18 14:23:46,608:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7134. 2022-01-18 14:23:46,871:INFO:Calculating mean and std
  7135. 2022-01-18 14:23:46,872:INFO:Creating metrics dataframe
  7136. 2022-01-18 14:23:46,879:INFO:Finalizing model
  7137. 2022-01-18 14:23:46,894:INFO:Uploading results into container
  7138. 2022-01-18 14:23:46,894:INFO:Uploading model into container now
  7139. 2022-01-18 14:23:46,894:INFO:create_model_container: 30
  7140. 2022-01-18 14:23:46,894:INFO:master_model_container: 30
  7141. 2022-01-18 14:23:46,895:INFO:display_container: 18
  7142. 2022-01-18 14:23:46,895:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7143. max_depth=13, max_features='sqrt', max_leaf_nodes=None,
  7144. min_impurity_decrease=0.0001, min_impurity_split=None,
  7145. min_samples_leaf=5, min_samples_split=5,
  7146. min_weight_fraction_leaf=0.0, presort='deprecated',
  7147. random_state=424, splitter='best')
  7148. 2022-01-18 14:23:46,895:INFO:create_model() succesfully completed......................................
  7149. 2022-01-18 14:23:46,985:INFO:SubProcess create_model() end ==================================
  7150. 2022-01-18 14:23:46,995:INFO:create_model_container: 30
  7151. 2022-01-18 14:23:46,995:INFO:master_model_container: 30
  7152. 2022-01-18 14:23:46,996:INFO:display_container: 18
  7153. 2022-01-18 14:23:46,996:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
  7154. max_depth=13, max_features='sqrt', max_leaf_nodes=None,
  7155. min_impurity_decrease=0.0001, min_impurity_split=None,
  7156. min_samples_leaf=5, min_samples_split=5,
  7157. min_weight_fraction_leaf=0.0, presort='deprecated',
  7158. random_state=424, splitter='best')
  7159. 2022-01-18 14:23:46,996:INFO:tune_model() succesfully completed......................................
  7160. 2022-01-18 14:23:53,610:INFO:Initializing create_model()
  7161. 2022-01-18 14:23:53,610:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  7162. 2022-01-18 14:23:53,610:INFO:Checking exceptions
  7163. 2022-01-18 14:23:53,611:INFO:Preparing display monitor
  7164. 2022-01-18 14:23:53,621:INFO:Importing libraries
  7165. 2022-01-18 14:23:53,622:INFO:Copying training dataset
  7166. 2022-01-18 14:23:53,623:INFO:Defining folds
  7167. 2022-01-18 14:23:53,623:INFO:Declaring metric variables
  7168. 2022-01-18 14:23:53,628:INFO:Importing untrained model
  7169. 2022-01-18 14:23:53,632:INFO:Decision Tree Classifier Imported succesfully
  7170. 2022-01-18 14:23:53,643:INFO:Starting cross validation
  7171. 2022-01-18 14:23:53,643:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7172. 2022-01-18 14:23:54,577:INFO:Calculating mean and std
  7173. 2022-01-18 14:23:54,578:INFO:Creating metrics dataframe
  7174. 2022-01-18 14:23:54,585:INFO:Finalizing model
  7175. 2022-01-18 14:23:54,678:INFO:Uploading results into container
  7176. 2022-01-18 14:23:54,678:INFO:Uploading model into container now
  7177. 2022-01-18 14:23:54,688:INFO:create_model_container: 31
  7178. 2022-01-18 14:23:54,688:INFO:master_model_container: 31
  7179. 2022-01-18 14:23:54,688:INFO:display_container: 19
  7180. 2022-01-18 14:23:54,689:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7181. max_depth=None, max_features=None, max_leaf_nodes=None,
  7182. min_impurity_decrease=0.0, min_impurity_split=None,
  7183. min_samples_leaf=1, min_samples_split=2,
  7184. min_weight_fraction_leaf=0.0, presort='deprecated',
  7185. random_state=424, splitter='best')
  7186. 2022-01-18 14:23:54,689:INFO:create_model() succesfully completed......................................
  7187. 2022-01-18 14:38:11,874:INFO:PyCaret Supervised Module
  7188. 2022-01-18 14:38:11,874:INFO:ML Usecase: classification
  7189. 2022-01-18 14:38:11,874:INFO:version 2.3.6
  7190. 2022-01-18 14:38:11,875:INFO:Initializing setup()
  7191. 2022-01-18 14:38:11,875:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  7192. 2022-01-18 14:38:11,875:INFO:Checking environment
  7193. 2022-01-18 14:38:11,875:INFO:python_version: 3.8.8
  7194. 2022-01-18 14:38:11,875:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  7195. 2022-01-18 14:38:11,875:INFO:machine: x86_64
  7196. 2022-01-18 14:38:11,875:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  7197. 2022-01-18 14:38:11,876:INFO:Memory: svmem(total=33619935232, available=28521803776, percent=15.2, used=4249128960, free=25853870080, active=1292222464, inactive=5859094528, buffers=680517632, cached=2836418560, shared=383610880, slab=312184832)
  7198. 2022-01-18 14:38:11,876:INFO:Physical Core: 16
  7199. 2022-01-18 14:38:11,876:INFO:Logical Core: 32
  7200. 2022-01-18 14:38:11,877:INFO:Checking libraries
  7201. 2022-01-18 14:38:11,877:INFO:pd==1.2.4
  7202. 2022-01-18 14:38:11,877:INFO:numpy==1.19.5
  7203. 2022-01-18 14:38:11,877:INFO:sklearn==0.23.2
  7204. 2022-01-18 14:38:11,877:INFO:lightgbm==3.3.2
  7205. 2022-01-18 14:38:11,878:WARNING:catboost not found
  7206. 2022-01-18 14:38:11,878:WARNING:xgboost not found
  7207. 2022-01-18 14:38:11,878:INFO:mlflow==1.22.0
  7208. 2022-01-18 14:38:11,878:INFO:Checking Exceptions
  7209. 2022-01-18 14:38:11,879:INFO:Declaring global variables
  7210. 2022-01-18 14:38:11,879:INFO:USI: b2d4
  7211. 2022-01-18 14:38:11,879:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  7212. 2022-01-18 14:38:11,879:INFO:Preparing display monitor
  7213. 2022-01-18 14:38:11,879:INFO:Preparing display monitor
  7214. 2022-01-18 14:38:11,886:INFO:Importing libraries
  7215. 2022-01-18 14:38:11,886:INFO:Copying data for preprocessing
  7216. 2022-01-18 14:38:11,892:INFO:Declaring preprocessing parameters
  7217. 2022-01-18 14:38:11,893:WARNING:cuML not found
  7218. 2022-01-18 14:38:11,893:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  7219. 2022-01-18 14:38:11,897:INFO:Creating preprocessing pipeline
  7220. 2022-01-18 14:38:11,928:INFO:Preprocessing pipeline created successfully
  7221. 2022-01-18 14:38:11,928:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  7222. 2022-01-18 14:38:11,928:INFO:Creating global containers
  7223. 2022-01-18 14:38:11,928:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  7224. 2022-01-18 14:38:17,510:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  7225. 2022-01-18 14:38:17,539:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  7226. 2022-01-18 14:38:17,540:WARNING:Couldn't import cuml.MBSGDClassifier
  7227. 2022-01-18 14:38:17,540:WARNING:Couldn't import cuml.svm.SVC
  7228. 2022-01-18 14:38:17,555:WARNING:Couldn't import cuml.linear_model
  7229. 2022-01-18 14:38:17,558:WARNING:Couldn't import cuml.ensemble
  7230. 2022-01-18 14:38:17,559:WARNING:Couldn't import xgboost.XGBClassifier
  7231. 2022-01-18 14:38:17,562:WARNING:Couldn't import catboost.CatBoostClassifier
  7232. 2022-01-18 14:38:17,563:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  7233. 2022-01-18 14:38:17,593:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  7234. 2022-01-18 14:38:17,594:WARNING:Couldn't import cuml.MBSGDClassifier
  7235. 2022-01-18 14:38:17,595:WARNING:Couldn't import cuml.svm.SVC
  7236. 2022-01-18 14:38:17,609:WARNING:Couldn't import cuml.linear_model
  7237. 2022-01-18 14:38:17,612:WARNING:Couldn't import cuml.ensemble
  7238. 2022-01-18 14:38:17,613:WARNING:Couldn't import xgboost.XGBClassifier
  7239. 2022-01-18 14:38:17,618:WARNING:Couldn't import catboost.CatBoostClassifier
  7240. 2022-01-18 14:38:17,618:INFO:Creating grid variables
  7241. 2022-01-18 14:38:17,631:INFO:create_model_container: 0
  7242. 2022-01-18 14:38:17,631:INFO:master_model_container: 0
  7243. 2022-01-18 14:38:17,631:INFO:display_container: 1
  7244. 2022-01-18 14:38:17,634:INFO:Pipeline(memory=None,
  7245. steps=[('dtypes',
  7246. DataTypes_Auto_infer(categorical_features=[],
  7247. display_types=True, features_todrop=[],
  7248. id_columns=[],
  7249. ml_usecase='classification',
  7250. numerical_features=[], target='label',
  7251. time_features=[])),
  7252. ('imputer',
  7253. Simple_Imputer(categorical_strategy='not_available',
  7254. fill_value_categorical=None,
  7255. fill_value_numerical=None,
  7256. numeric_strate...
  7257. ('fix_perfect', Remove_100(target='label')),
  7258. ('clean_names', Clean_Colum_Names()),
  7259. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  7260. ('dfs',
  7261. DFS_Classic(interactions=['multiply'],
  7262. ml_usecase='classification', n_jobs=-1,
  7263. random_state=3582, subclass='binary',
  7264. target='label',
  7265. top_features_to_pick_percentage=None)),
  7266. ('pca', 'passthrough')],
  7267. verbose=False)
  7268. 2022-01-18 14:38:17,635:INFO:setup() succesfully completed......................................
  7269. 2022-01-18 14:38:24,983:INFO:Initializing compare_models()
  7270. 2022-01-18 14:38:24,983:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  7271. 2022-01-18 14:38:24,983:INFO:Checking exceptions
  7272. 2022-01-18 14:38:24,985:INFO:Preparing display monitor
  7273. 2022-01-18 14:38:24,985:INFO:Preparing display monitor
  7274. 2022-01-18 14:38:25,002:INFO:Initializing Logistic Regression
  7275. 2022-01-18 14:38:25,002:INFO:Total runtime is 5.404154459635417e-06 minutes
  7276. 2022-01-18 14:38:25,008:INFO:SubProcess create_model() called ==================================
  7277. 2022-01-18 14:38:25,008:INFO:Initializing create_model()
  7278. 2022-01-18 14:38:25,009:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7279. 2022-01-18 14:38:25,009:INFO:Checking exceptions
  7280. 2022-01-18 14:38:25,009:INFO:Importing libraries
  7281. 2022-01-18 14:38:25,009:INFO:Copying training dataset
  7282. 2022-01-18 14:38:25,011:INFO:Defining folds
  7283. 2022-01-18 14:38:25,011:INFO:Declaring metric variables
  7284. 2022-01-18 14:38:25,016:INFO:Importing untrained model
  7285. 2022-01-18 14:38:25,021:INFO:Logistic Regression Imported succesfully
  7286. 2022-01-18 14:38:25,031:INFO:Starting cross validation
  7287. 2022-01-18 14:38:25,032:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7288. 2022-01-18 14:38:41,771:INFO:Calculating mean and std
  7289. 2022-01-18 14:38:41,772:INFO:Creating metrics dataframe
  7290. 2022-01-18 14:38:41,778:INFO:Uploading results into container
  7291. 2022-01-18 14:38:41,779:INFO:Uploading model into container now
  7292. 2022-01-18 14:38:41,780:INFO:create_model_container: 1
  7293. 2022-01-18 14:38:41,780:INFO:master_model_container: 1
  7294. 2022-01-18 14:38:41,780:INFO:display_container: 2
  7295. 2022-01-18 14:38:41,781:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  7296. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  7297. multi_class='auto', n_jobs=None, penalty='l2',
  7298. random_state=3582, solver='lbfgs', tol=0.0001, verbose=0,
  7299. warm_start=False)
  7300. 2022-01-18 14:38:41,781:INFO:create_model() succesfully completed......................................
  7301. 2022-01-18 14:38:41,891:INFO:SubProcess create_model() end ==================================
  7302. 2022-01-18 14:38:41,892:INFO:Creating metrics dataframe
  7303. 2022-01-18 14:38:41,901:INFO:Initializing K Neighbors Classifier
  7304. 2022-01-18 14:38:41,901:INFO:Total runtime is 0.2816558917363485 minutes
  7305. 2022-01-18 14:38:41,907:INFO:SubProcess create_model() called ==================================
  7306. 2022-01-18 14:38:41,907:INFO:Initializing create_model()
  7307. 2022-01-18 14:38:41,907:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7308. 2022-01-18 14:38:41,907:INFO:Checking exceptions
  7309. 2022-01-18 14:38:41,907:INFO:Importing libraries
  7310. 2022-01-18 14:38:41,908:INFO:Copying training dataset
  7311. 2022-01-18 14:38:41,909:INFO:Defining folds
  7312. 2022-01-18 14:38:41,909:INFO:Declaring metric variables
  7313. 2022-01-18 14:38:41,913:INFO:Importing untrained model
  7314. 2022-01-18 14:38:41,919:INFO:K Neighbors Classifier Imported succesfully
  7315. 2022-01-18 14:38:41,929:INFO:Starting cross validation
  7316. 2022-01-18 14:38:41,929:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7317. 2022-01-18 14:38:49,643:INFO:Calculating mean and std
  7318. 2022-01-18 14:38:49,644:INFO:Creating metrics dataframe
  7319. 2022-01-18 14:38:49,647:INFO:Uploading results into container
  7320. 2022-01-18 14:38:49,647:INFO:Uploading model into container now
  7321. 2022-01-18 14:38:49,648:INFO:create_model_container: 2
  7322. 2022-01-18 14:38:49,648:INFO:master_model_container: 2
  7323. 2022-01-18 14:38:49,648:INFO:display_container: 2
  7324. 2022-01-18 14:38:49,648:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  7325. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  7326. weights='uniform')
  7327. 2022-01-18 14:38:49,648:INFO:create_model() succesfully completed......................................
  7328. 2022-01-18 14:38:49,728:INFO:SubProcess create_model() end ==================================
  7329. 2022-01-18 14:38:49,728:INFO:Creating metrics dataframe
  7330. 2022-01-18 14:38:49,739:INFO:Initializing Naive Bayes
  7331. 2022-01-18 14:38:49,739:INFO:Total runtime is 0.4122879465421041 minutes
  7332. 2022-01-18 14:38:49,744:INFO:SubProcess create_model() called ==================================
  7333. 2022-01-18 14:38:49,745:INFO:Initializing create_model()
  7334. 2022-01-18 14:38:49,745:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7335. 2022-01-18 14:38:49,745:INFO:Checking exceptions
  7336. 2022-01-18 14:38:49,745:INFO:Importing libraries
  7337. 2022-01-18 14:38:49,745:INFO:Copying training dataset
  7338. 2022-01-18 14:38:49,747:INFO:Defining folds
  7339. 2022-01-18 14:38:49,747:INFO:Declaring metric variables
  7340. 2022-01-18 14:38:49,752:INFO:Importing untrained model
  7341. 2022-01-18 14:38:49,757:INFO:Naive Bayes Imported succesfully
  7342. 2022-01-18 14:38:49,767:INFO:Starting cross validation
  7343. 2022-01-18 14:38:49,767:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7344. 2022-01-18 14:38:50,052:INFO:Calculating mean and std
  7345. 2022-01-18 14:38:50,052:INFO:Creating metrics dataframe
  7346. 2022-01-18 14:38:50,055:INFO:Uploading results into container
  7347. 2022-01-18 14:38:50,055:INFO:Uploading model into container now
  7348. 2022-01-18 14:38:50,055:INFO:create_model_container: 3
  7349. 2022-01-18 14:38:50,055:INFO:master_model_container: 3
  7350. 2022-01-18 14:38:50,056:INFO:display_container: 2
  7351. 2022-01-18 14:38:50,056:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  7352. 2022-01-18 14:38:50,056:INFO:create_model() succesfully completed......................................
  7353. 2022-01-18 14:38:50,127:INFO:SubProcess create_model() end ==================================
  7354. 2022-01-18 14:38:50,128:INFO:Creating metrics dataframe
  7355. 2022-01-18 14:38:50,138:INFO:Initializing Decision Tree Classifier
  7356. 2022-01-18 14:38:50,139:INFO:Total runtime is 0.4189460674921672 minutes
  7357. 2022-01-18 14:38:50,144:INFO:SubProcess create_model() called ==================================
  7358. 2022-01-18 14:38:50,144:INFO:Initializing create_model()
  7359. 2022-01-18 14:38:50,144:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7360. 2022-01-18 14:38:50,144:INFO:Checking exceptions
  7361. 2022-01-18 14:38:50,145:INFO:Importing libraries
  7362. 2022-01-18 14:38:50,145:INFO:Copying training dataset
  7363. 2022-01-18 14:38:50,146:INFO:Defining folds
  7364. 2022-01-18 14:38:50,146:INFO:Declaring metric variables
  7365. 2022-01-18 14:38:50,151:INFO:Importing untrained model
  7366. 2022-01-18 14:38:50,156:INFO:Decision Tree Classifier Imported succesfully
  7367. 2022-01-18 14:38:50,167:INFO:Starting cross validation
  7368. 2022-01-18 14:38:50,167:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7369. 2022-01-18 14:38:52,978:INFO:Calculating mean and std
  7370. 2022-01-18 14:38:52,979:INFO:Creating metrics dataframe
  7371. 2022-01-18 14:38:52,982:INFO:Uploading results into container
  7372. 2022-01-18 14:38:52,982:INFO:Uploading model into container now
  7373. 2022-01-18 14:38:52,982:INFO:create_model_container: 4
  7374. 2022-01-18 14:38:52,982:INFO:master_model_container: 4
  7375. 2022-01-18 14:38:52,982:INFO:display_container: 2
  7376. 2022-01-18 14:38:52,983:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7377. max_depth=None, max_features=None, max_leaf_nodes=None,
  7378. min_impurity_decrease=0.0, min_impurity_split=None,
  7379. min_samples_leaf=1, min_samples_split=2,
  7380. min_weight_fraction_leaf=0.0, presort='deprecated',
  7381. random_state=3582, splitter='best')
  7382. 2022-01-18 14:38:52,983:INFO:create_model() succesfully completed......................................
  7383. 2022-01-18 14:38:53,057:INFO:SubProcess create_model() end ==================================
  7384. 2022-01-18 14:38:53,058:INFO:Creating metrics dataframe
  7385. 2022-01-18 14:38:53,069:INFO:Initializing SVM - Linear Kernel
  7386. 2022-01-18 14:38:53,069:INFO:Total runtime is 0.4677824258804322 minutes
  7387. 2022-01-18 14:38:53,074:INFO:SubProcess create_model() called ==================================
  7388. 2022-01-18 14:38:53,074:INFO:Initializing create_model()
  7389. 2022-01-18 14:38:53,074:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7390. 2022-01-18 14:38:53,075:INFO:Checking exceptions
  7391. 2022-01-18 14:38:53,075:INFO:Importing libraries
  7392. 2022-01-18 14:38:53,075:INFO:Copying training dataset
  7393. 2022-01-18 14:38:53,076:INFO:Defining folds
  7394. 2022-01-18 14:38:53,076:INFO:Declaring metric variables
  7395. 2022-01-18 14:38:53,081:INFO:Importing untrained model
  7396. 2022-01-18 14:38:53,086:INFO:SVM - Linear Kernel Imported succesfully
  7397. 2022-01-18 14:38:53,098:INFO:Starting cross validation
  7398. 2022-01-18 14:38:53,098:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7399. 2022-01-18 14:38:55,192:INFO:Calculating mean and std
  7400. 2022-01-18 14:38:55,193:INFO:Creating metrics dataframe
  7401. 2022-01-18 14:38:55,197:INFO:Uploading results into container
  7402. 2022-01-18 14:38:55,199:INFO:Uploading model into container now
  7403. 2022-01-18 14:38:55,201:INFO:create_model_container: 5
  7404. 2022-01-18 14:38:55,204:INFO:master_model_container: 5
  7405. 2022-01-18 14:38:55,205:INFO:display_container: 2
  7406. 2022-01-18 14:38:55,208:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  7407. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  7408. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  7409. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  7410. power_t=0.5, random_state=3582, shuffle=True, tol=0.001,
  7411. validation_fraction=0.1, verbose=0, warm_start=False)
  7412. 2022-01-18 14:38:55,209:INFO:create_model() succesfully completed......................................
  7413. 2022-01-18 14:38:55,296:INFO:SubProcess create_model() end ==================================
  7414. 2022-01-18 14:38:55,296:INFO:Creating metrics dataframe
  7415. 2022-01-18 14:38:55,308:INFO:Initializing Ridge Classifier
  7416. 2022-01-18 14:38:55,308:INFO:Total runtime is 0.5051049113273621 minutes
  7417. 2022-01-18 14:38:55,314:INFO:SubProcess create_model() called ==================================
  7418. 2022-01-18 14:38:55,314:INFO:Initializing create_model()
  7419. 2022-01-18 14:38:55,314:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7420. 2022-01-18 14:38:55,314:INFO:Checking exceptions
  7421. 2022-01-18 14:38:55,315:INFO:Importing libraries
  7422. 2022-01-18 14:38:55,315:INFO:Copying training dataset
  7423. 2022-01-18 14:38:55,316:INFO:Defining folds
  7424. 2022-01-18 14:38:55,317:INFO:Declaring metric variables
  7425. 2022-01-18 14:38:55,322:INFO:Importing untrained model
  7426. 2022-01-18 14:38:55,327:INFO:Ridge Classifier Imported succesfully
  7427. 2022-01-18 14:38:55,338:INFO:Starting cross validation
  7428. 2022-01-18 14:38:55,338:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7429. 2022-01-18 14:38:56,106:INFO:Calculating mean and std
  7430. 2022-01-18 14:38:56,107:INFO:Creating metrics dataframe
  7431. 2022-01-18 14:38:56,111:INFO:Uploading results into container
  7432. 2022-01-18 14:38:56,112:INFO:Uploading model into container now
  7433. 2022-01-18 14:38:56,113:INFO:create_model_container: 6
  7434. 2022-01-18 14:38:56,113:INFO:master_model_container: 6
  7435. 2022-01-18 14:38:56,113:INFO:display_container: 2
  7436. 2022-01-18 14:38:56,114:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  7437. max_iter=None, normalize=False, random_state=3582,
  7438. solver='auto', tol=0.001)
  7439. 2022-01-18 14:38:56,114:INFO:create_model() succesfully completed......................................
  7440. 2022-01-18 14:38:56,216:INFO:SubProcess create_model() end ==================================
  7441. 2022-01-18 14:38:56,217:INFO:Creating metrics dataframe
  7442. 2022-01-18 14:38:56,228:INFO:Initializing Random Forest Classifier
  7443. 2022-01-18 14:38:56,228:INFO:Total runtime is 0.5204451243082683 minutes
  7444. 2022-01-18 14:38:56,234:INFO:SubProcess create_model() called ==================================
  7445. 2022-01-18 14:38:56,234:INFO:Initializing create_model()
  7446. 2022-01-18 14:38:56,234:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7447. 2022-01-18 14:38:56,234:INFO:Checking exceptions
  7448. 2022-01-18 14:38:56,235:INFO:Importing libraries
  7449. 2022-01-18 14:38:56,235:INFO:Copying training dataset
  7450. 2022-01-18 14:38:56,236:INFO:Defining folds
  7451. 2022-01-18 14:38:56,237:INFO:Declaring metric variables
  7452. 2022-01-18 14:38:56,241:INFO:Importing untrained model
  7453. 2022-01-18 14:38:56,246:INFO:Random Forest Classifier Imported succesfully
  7454. 2022-01-18 14:38:56,255:INFO:Starting cross validation
  7455. 2022-01-18 14:38:56,256:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7456. 2022-01-18 14:39:03,247:INFO:Calculating mean and std
  7457. 2022-01-18 14:39:03,248:INFO:Creating metrics dataframe
  7458. 2022-01-18 14:39:03,251:INFO:Uploading results into container
  7459. 2022-01-18 14:39:03,251:INFO:Uploading model into container now
  7460. 2022-01-18 14:39:03,251:INFO:create_model_container: 7
  7461. 2022-01-18 14:39:03,252:INFO:master_model_container: 7
  7462. 2022-01-18 14:39:03,252:INFO:display_container: 2
  7463. 2022-01-18 14:39:03,252:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7464. criterion='gini', max_depth=None, max_features='auto',
  7465. max_leaf_nodes=None, max_samples=None,
  7466. min_impurity_decrease=0.0, min_impurity_split=None,
  7467. min_samples_leaf=1, min_samples_split=2,
  7468. min_weight_fraction_leaf=0.0, n_estimators=100,
  7469. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7470. warm_start=False)
  7471. 2022-01-18 14:39:03,252:INFO:create_model() succesfully completed......................................
  7472. 2022-01-18 14:39:03,329:INFO:SubProcess create_model() end ==================================
  7473. 2022-01-18 14:39:03,329:INFO:Creating metrics dataframe
  7474. 2022-01-18 14:39:03,341:INFO:Initializing Quadratic Discriminant Analysis
  7475. 2022-01-18 14:39:03,341:INFO:Total runtime is 0.6389830907185873 minutes
  7476. 2022-01-18 14:39:03,346:INFO:SubProcess create_model() called ==================================
  7477. 2022-01-18 14:39:03,346:INFO:Initializing create_model()
  7478. 2022-01-18 14:39:03,346:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7479. 2022-01-18 14:39:03,347:INFO:Checking exceptions
  7480. 2022-01-18 14:39:03,347:INFO:Importing libraries
  7481. 2022-01-18 14:39:03,347:INFO:Copying training dataset
  7482. 2022-01-18 14:39:03,348:INFO:Defining folds
  7483. 2022-01-18 14:39:03,348:INFO:Declaring metric variables
  7484. 2022-01-18 14:39:03,354:INFO:Importing untrained model
  7485. 2022-01-18 14:39:03,359:INFO:Quadratic Discriminant Analysis Imported succesfully
  7486. 2022-01-18 14:39:03,369:INFO:Starting cross validation
  7487. 2022-01-18 14:39:03,370:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7488. 2022-01-18 14:39:04,734:INFO:Calculating mean and std
  7489. 2022-01-18 14:39:04,735:INFO:Creating metrics dataframe
  7490. 2022-01-18 14:39:04,745:INFO:Uploading results into container
  7491. 2022-01-18 14:39:04,746:INFO:Uploading model into container now
  7492. 2022-01-18 14:39:04,749:INFO:create_model_container: 8
  7493. 2022-01-18 14:39:04,749:INFO:master_model_container: 8
  7494. 2022-01-18 14:39:04,749:INFO:display_container: 2
  7495. 2022-01-18 14:39:04,750:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  7496. store_covariance=False, tol=0.0001)
  7497. 2022-01-18 14:39:04,750:INFO:create_model() succesfully completed......................................
  7498. 2022-01-18 14:39:04,833:INFO:SubProcess create_model() end ==================================
  7499. 2022-01-18 14:39:04,833:INFO:Creating metrics dataframe
  7500. 2022-01-18 14:39:04,845:INFO:Initializing Ada Boost Classifier
  7501. 2022-01-18 14:39:04,845:INFO:Total runtime is 0.6640598138173421 minutes
  7502. 2022-01-18 14:39:04,851:INFO:SubProcess create_model() called ==================================
  7503. 2022-01-18 14:39:04,851:INFO:Initializing create_model()
  7504. 2022-01-18 14:39:04,852:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7505. 2022-01-18 14:39:04,852:INFO:Checking exceptions
  7506. 2022-01-18 14:39:04,852:INFO:Importing libraries
  7507. 2022-01-18 14:39:04,852:INFO:Copying training dataset
  7508. 2022-01-18 14:39:04,854:INFO:Defining folds
  7509. 2022-01-18 14:39:04,854:INFO:Declaring metric variables
  7510. 2022-01-18 14:39:04,859:INFO:Importing untrained model
  7511. 2022-01-18 14:39:04,864:INFO:Ada Boost Classifier Imported succesfully
  7512. 2022-01-18 14:39:04,874:INFO:Starting cross validation
  7513. 2022-01-18 14:39:04,875:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7514. 2022-01-18 14:39:17,712:INFO:Calculating mean and std
  7515. 2022-01-18 14:39:17,713:INFO:Creating metrics dataframe
  7516. 2022-01-18 14:39:17,716:INFO:Uploading results into container
  7517. 2022-01-18 14:39:17,716:INFO:Uploading model into container now
  7518. 2022-01-18 14:39:17,716:INFO:create_model_container: 9
  7519. 2022-01-18 14:39:17,716:INFO:master_model_container: 9
  7520. 2022-01-18 14:39:17,716:INFO:display_container: 2
  7521. 2022-01-18 14:39:17,717:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  7522. n_estimators=50, random_state=3582)
  7523. 2022-01-18 14:39:17,717:INFO:create_model() succesfully completed......................................
  7524. 2022-01-18 14:39:17,787:INFO:SubProcess create_model() end ==================================
  7525. 2022-01-18 14:39:17,788:INFO:Creating metrics dataframe
  7526. 2022-01-18 14:39:17,800:INFO:Initializing Gradient Boosting Classifier
  7527. 2022-01-18 14:39:17,800:INFO:Total runtime is 0.8799694895744323 minutes
  7528. 2022-01-18 14:39:17,805:INFO:SubProcess create_model() called ==================================
  7529. 2022-01-18 14:39:17,806:INFO:Initializing create_model()
  7530. 2022-01-18 14:39:17,806:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7531. 2022-01-18 14:39:17,806:INFO:Checking exceptions
  7532. 2022-01-18 14:39:17,806:INFO:Importing libraries
  7533. 2022-01-18 14:39:17,806:INFO:Copying training dataset
  7534. 2022-01-18 14:39:17,808:INFO:Defining folds
  7535. 2022-01-18 14:39:17,808:INFO:Declaring metric variables
  7536. 2022-01-18 14:39:17,813:INFO:Importing untrained model
  7537. 2022-01-18 14:39:17,818:INFO:Gradient Boosting Classifier Imported succesfully
  7538. 2022-01-18 14:39:17,828:INFO:Starting cross validation
  7539. 2022-01-18 14:39:17,829:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7540. 2022-01-18 14:40:11,468:INFO:Calculating mean and std
  7541. 2022-01-18 14:40:11,469:INFO:Creating metrics dataframe
  7542. 2022-01-18 14:40:11,471:INFO:Uploading results into container
  7543. 2022-01-18 14:40:11,471:INFO:Uploading model into container now
  7544. 2022-01-18 14:40:11,472:INFO:create_model_container: 10
  7545. 2022-01-18 14:40:11,472:INFO:master_model_container: 10
  7546. 2022-01-18 14:40:11,472:INFO:display_container: 2
  7547. 2022-01-18 14:40:11,472:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  7548. learning_rate=0.1, loss='deviance', max_depth=3,
  7549. max_features=None, max_leaf_nodes=None,
  7550. min_impurity_decrease=0.0, min_impurity_split=None,
  7551. min_samples_leaf=1, min_samples_split=2,
  7552. min_weight_fraction_leaf=0.0, n_estimators=100,
  7553. n_iter_no_change=None, presort='deprecated',
  7554. random_state=3582, subsample=1.0, tol=0.0001,
  7555. validation_fraction=0.1, verbose=0,
  7556. warm_start=False)
  7557. 2022-01-18 14:40:11,472:INFO:create_model() succesfully completed......................................
  7558. 2022-01-18 14:40:11,543:INFO:SubProcess create_model() end ==================================
  7559. 2022-01-18 14:40:11,544:INFO:Creating metrics dataframe
  7560. 2022-01-18 14:40:11,556:INFO:Initializing Linear Discriminant Analysis
  7561. 2022-01-18 14:40:11,556:INFO:Total runtime is 1.7759081284205118 minutes
  7562. 2022-01-18 14:40:11,562:INFO:SubProcess create_model() called ==================================
  7563. 2022-01-18 14:40:11,562:INFO:Initializing create_model()
  7564. 2022-01-18 14:40:11,562:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7565. 2022-01-18 14:40:11,562:INFO:Checking exceptions
  7566. 2022-01-18 14:40:11,562:INFO:Importing libraries
  7567. 2022-01-18 14:40:11,562:INFO:Copying training dataset
  7568. 2022-01-18 14:40:11,564:INFO:Defining folds
  7569. 2022-01-18 14:40:11,564:INFO:Declaring metric variables
  7570. 2022-01-18 14:40:11,569:INFO:Importing untrained model
  7571. 2022-01-18 14:40:11,576:INFO:Linear Discriminant Analysis Imported succesfully
  7572. 2022-01-18 14:40:11,586:INFO:Starting cross validation
  7573. 2022-01-18 14:40:11,586:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7574. 2022-01-18 14:40:14,122:INFO:Calculating mean and std
  7575. 2022-01-18 14:40:14,123:INFO:Creating metrics dataframe
  7576. 2022-01-18 14:40:14,127:INFO:Uploading results into container
  7577. 2022-01-18 14:40:14,131:INFO:Uploading model into container now
  7578. 2022-01-18 14:40:14,132:INFO:create_model_container: 11
  7579. 2022-01-18 14:40:14,132:INFO:master_model_container: 11
  7580. 2022-01-18 14:40:14,132:INFO:display_container: 2
  7581. 2022-01-18 14:40:14,133:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  7582. solver='svd', store_covariance=False, tol=0.0001)
  7583. 2022-01-18 14:40:14,133:INFO:create_model() succesfully completed......................................
  7584. 2022-01-18 14:40:14,218:INFO:SubProcess create_model() end ==================================
  7585. 2022-01-18 14:40:14,219:INFO:Creating metrics dataframe
  7586. 2022-01-18 14:40:14,231:INFO:Initializing Extra Trees Classifier
  7587. 2022-01-18 14:40:14,232:INFO:Total runtime is 1.8204961260159809 minutes
  7588. 2022-01-18 14:40:14,237:INFO:SubProcess create_model() called ==================================
  7589. 2022-01-18 14:40:14,237:INFO:Initializing create_model()
  7590. 2022-01-18 14:40:14,237:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7591. 2022-01-18 14:40:14,237:INFO:Checking exceptions
  7592. 2022-01-18 14:40:14,238:INFO:Importing libraries
  7593. 2022-01-18 14:40:14,238:INFO:Copying training dataset
  7594. 2022-01-18 14:40:14,239:INFO:Defining folds
  7595. 2022-01-18 14:40:14,239:INFO:Declaring metric variables
  7596. 2022-01-18 14:40:14,244:INFO:Importing untrained model
  7597. 2022-01-18 14:40:14,249:INFO:Extra Trees Classifier Imported succesfully
  7598. 2022-01-18 14:40:14,259:INFO:Starting cross validation
  7599. 2022-01-18 14:40:14,260:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7600. 2022-01-18 14:40:21,111:INFO:Calculating mean and std
  7601. 2022-01-18 14:40:21,112:INFO:Creating metrics dataframe
  7602. 2022-01-18 14:40:21,115:INFO:Uploading results into container
  7603. 2022-01-18 14:40:21,115:INFO:Uploading model into container now
  7604. 2022-01-18 14:40:21,115:INFO:create_model_container: 12
  7605. 2022-01-18 14:40:21,115:INFO:master_model_container: 12
  7606. 2022-01-18 14:40:21,115:INFO:display_container: 2
  7607. 2022-01-18 14:40:21,116:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  7608. criterion='gini', max_depth=None, max_features='auto',
  7609. max_leaf_nodes=None, max_samples=None,
  7610. min_impurity_decrease=0.0, min_impurity_split=None,
  7611. min_samples_leaf=1, min_samples_split=2,
  7612. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  7613. oob_score=False, random_state=3582, verbose=0,
  7614. warm_start=False)
  7615. 2022-01-18 14:40:21,116:INFO:create_model() succesfully completed......................................
  7616. 2022-01-18 14:40:21,201:INFO:SubProcess create_model() end ==================================
  7617. 2022-01-18 14:40:21,201:INFO:Creating metrics dataframe
  7618. 2022-01-18 14:40:21,214:INFO:Initializing Light Gradient Boosting Machine
  7619. 2022-01-18 14:40:21,214:INFO:Total runtime is 1.936876054604848 minutes
  7620. 2022-01-18 14:40:21,220:INFO:SubProcess create_model() called ==================================
  7621. 2022-01-18 14:40:21,220:INFO:Initializing create_model()
  7622. 2022-01-18 14:40:21,220:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7623. 2022-01-18 14:40:21,221:INFO:Checking exceptions
  7624. 2022-01-18 14:40:21,221:INFO:Importing libraries
  7625. 2022-01-18 14:40:21,221:INFO:Copying training dataset
  7626. 2022-01-18 14:40:21,222:INFO:Defining folds
  7627. 2022-01-18 14:40:21,223:INFO:Declaring metric variables
  7628. 2022-01-18 14:40:21,228:INFO:Importing untrained model
  7629. 2022-01-18 14:40:21,232:INFO:Light Gradient Boosting Machine Imported succesfully
  7630. 2022-01-18 14:40:21,242:INFO:Starting cross validation
  7631. 2022-01-18 14:40:21,243:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7632. 2022-01-18 14:40:26,314:INFO:Calculating mean and std
  7633. 2022-01-18 14:40:26,315:INFO:Creating metrics dataframe
  7634. 2022-01-18 14:40:26,318:INFO:Uploading results into container
  7635. 2022-01-18 14:40:26,318:INFO:Uploading model into container now
  7636. 2022-01-18 14:40:26,318:INFO:create_model_container: 13
  7637. 2022-01-18 14:40:26,319:INFO:master_model_container: 13
  7638. 2022-01-18 14:40:26,319:INFO:display_container: 2
  7639. 2022-01-18 14:40:26,319:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  7640. importance_type='split', learning_rate=0.1, max_depth=-1,
  7641. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  7642. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  7643. random_state=3582, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  7644. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  7645. 2022-01-18 14:40:26,319:INFO:create_model() succesfully completed......................................
  7646. 2022-01-18 14:40:26,390:INFO:SubProcess create_model() end ==================================
  7647. 2022-01-18 14:40:26,390:INFO:Creating metrics dataframe
  7648. 2022-01-18 14:40:26,404:INFO:Initializing Dummy Classifier
  7649. 2022-01-18 14:40:26,404:INFO:Total runtime is 2.023368187745412 minutes
  7650. 2022-01-18 14:40:26,409:INFO:SubProcess create_model() called ==================================
  7651. 2022-01-18 14:40:26,409:INFO:Initializing create_model()
  7652. 2022-01-18 14:40:26,409:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f87281ae430>, kwargs={})
  7653. 2022-01-18 14:40:26,410:INFO:Checking exceptions
  7654. 2022-01-18 14:40:26,410:INFO:Importing libraries
  7655. 2022-01-18 14:40:26,410:INFO:Copying training dataset
  7656. 2022-01-18 14:40:26,411:INFO:Defining folds
  7657. 2022-01-18 14:40:26,411:INFO:Declaring metric variables
  7658. 2022-01-18 14:40:26,416:INFO:Importing untrained model
  7659. 2022-01-18 14:40:26,421:INFO:Dummy Classifier Imported succesfully
  7660. 2022-01-18 14:40:26,431:INFO:Starting cross validation
  7661. 2022-01-18 14:40:26,432:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7662. 2022-01-18 14:40:26,555:INFO:Calculating mean and std
  7663. 2022-01-18 14:40:26,556:INFO:Creating metrics dataframe
  7664. 2022-01-18 14:40:26,559:INFO:Uploading results into container
  7665. 2022-01-18 14:40:26,559:INFO:Uploading model into container now
  7666. 2022-01-18 14:40:26,559:INFO:create_model_container: 14
  7667. 2022-01-18 14:40:26,559:INFO:master_model_container: 14
  7668. 2022-01-18 14:40:26,559:INFO:display_container: 2
  7669. 2022-01-18 14:40:26,560:INFO:DummyClassifier(constant=None, random_state=3582, strategy='prior')
  7670. 2022-01-18 14:40:26,560:INFO:create_model() succesfully completed......................................
  7671. 2022-01-18 14:40:26,648:INFO:SubProcess create_model() end ==================================
  7672. 2022-01-18 14:40:26,649:INFO:Creating metrics dataframe
  7673. 2022-01-18 14:40:26,675:INFO:Initializing create_model()
  7674. 2022-01-18 14:40:26,676:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7675. criterion='gini', max_depth=None, max_features='auto',
  7676. max_leaf_nodes=None, max_samples=None,
  7677. min_impurity_decrease=0.0, min_impurity_split=None,
  7678. min_samples_leaf=1, min_samples_split=2,
  7679. min_weight_fraction_leaf=0.0, n_estimators=100,
  7680. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7681. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  7682. 2022-01-18 14:40:26,676:INFO:Checking exceptions
  7683. 2022-01-18 14:40:26,676:INFO:Importing libraries
  7684. 2022-01-18 14:40:26,676:INFO:Copying training dataset
  7685. 2022-01-18 14:40:26,677:INFO:Defining folds
  7686. 2022-01-18 14:40:26,678:INFO:Declaring metric variables
  7687. 2022-01-18 14:40:26,678:INFO:Importing untrained model
  7688. 2022-01-18 14:40:26,678:INFO:Declaring custom model
  7689. 2022-01-18 14:40:26,678:INFO:Random Forest Classifier Imported succesfully
  7690. 2022-01-18 14:40:26,679:INFO:Cross validation set to False
  7691. 2022-01-18 14:40:26,679:INFO:Fitting Model
  7692. 2022-01-18 14:40:27,072:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7693. criterion='gini', max_depth=None, max_features='auto',
  7694. max_leaf_nodes=None, max_samples=None,
  7695. min_impurity_decrease=0.0, min_impurity_split=None,
  7696. min_samples_leaf=1, min_samples_split=2,
  7697. min_weight_fraction_leaf=0.0, n_estimators=100,
  7698. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7699. warm_start=False)
  7700. 2022-01-18 14:40:27,073:INFO:create_models() succesfully completed......................................
  7701. 2022-01-18 14:40:27,175:INFO:create_model_container: 14
  7702. 2022-01-18 14:40:27,175:INFO:master_model_container: 14
  7703. 2022-01-18 14:40:27,175:INFO:display_container: 2
  7704. 2022-01-18 14:40:27,176:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7705. criterion='gini', max_depth=None, max_features='auto',
  7706. max_leaf_nodes=None, max_samples=None,
  7707. min_impurity_decrease=0.0, min_impurity_split=None,
  7708. min_samples_leaf=1, min_samples_split=2,
  7709. min_weight_fraction_leaf=0.0, n_estimators=100,
  7710. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7711. warm_start=False)
  7712. 2022-01-18 14:40:27,176:INFO:compare_models() succesfully completed......................................
  7713. 2022-01-18 14:41:08,681:INFO:Initializing create_model()
  7714. 2022-01-18 14:41:08,682:INFO:create_model(estimator=dt, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  7715. 2022-01-18 14:41:08,682:INFO:Checking exceptions
  7716. 2022-01-18 14:41:08,682:INFO:Preparing display monitor
  7717. 2022-01-18 14:41:08,694:INFO:Importing libraries
  7718. 2022-01-18 14:41:08,694:INFO:Copying training dataset
  7719. 2022-01-18 14:41:08,695:INFO:Defining folds
  7720. 2022-01-18 14:41:08,696:INFO:Declaring metric variables
  7721. 2022-01-18 14:41:08,701:INFO:Importing untrained model
  7722. 2022-01-18 14:41:08,706:INFO:Decision Tree Classifier Imported succesfully
  7723. 2022-01-18 14:41:08,716:INFO:Starting cross validation
  7724. 2022-01-18 14:41:08,717:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7725. 2022-01-18 14:41:11,604:INFO:Calculating mean and std
  7726. 2022-01-18 14:41:11,605:INFO:Creating metrics dataframe
  7727. 2022-01-18 14:41:11,612:INFO:Finalizing model
  7728. 2022-01-18 14:41:11,926:INFO:Uploading results into container
  7729. 2022-01-18 14:41:11,926:INFO:Uploading model into container now
  7730. 2022-01-18 14:41:11,936:INFO:create_model_container: 15
  7731. 2022-01-18 14:41:11,937:INFO:master_model_container: 15
  7732. 2022-01-18 14:41:11,937:INFO:display_container: 3
  7733. 2022-01-18 14:41:11,937:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7734. max_depth=None, max_features=None, max_leaf_nodes=None,
  7735. min_impurity_decrease=0.0, min_impurity_split=None,
  7736. min_samples_leaf=1, min_samples_split=2,
  7737. min_weight_fraction_leaf=0.0, presort='deprecated',
  7738. random_state=3582, splitter='best')
  7739. 2022-01-18 14:41:11,937:INFO:create_model() succesfully completed......................................
  7740. 2022-01-18 14:41:22,556:INFO:Initializing evaluate_model()
  7741. 2022-01-18 14:41:22,556:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7742. max_depth=None, max_features=None, max_leaf_nodes=None,
  7743. min_impurity_decrease=0.0, min_impurity_split=None,
  7744. min_samples_leaf=1, min_samples_split=2,
  7745. min_weight_fraction_leaf=0.0, presort='deprecated',
  7746. random_state=3582, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  7747. 2022-01-18 14:41:22,567:INFO:Initializing plot_model()
  7748. 2022-01-18 14:41:22,567:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7749. max_depth=None, max_features=None, max_leaf_nodes=None,
  7750. min_impurity_decrease=0.0, min_impurity_split=None,
  7751. min_samples_leaf=1, min_samples_split=2,
  7752. min_weight_fraction_leaf=0.0, presort='deprecated',
  7753. random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  7754. 2022-01-18 14:41:22,568:INFO:Checking exceptions
  7755. 2022-01-18 14:41:22,569:INFO:Preparing display monitor
  7756. 2022-01-18 14:41:22,573:INFO:Preloading libraries
  7757. 2022-01-18 14:41:22,574:INFO:Copying training dataset
  7758. 2022-01-18 14:41:22,575:INFO:Copying test dataset
  7759. 2022-01-18 14:41:22,576:INFO:Plot type: parameter
  7760. 2022-01-18 14:41:22,580:INFO:Visual Rendered Successfully
  7761. 2022-01-18 14:41:22,662:INFO:plot_model() succesfully completed......................................
  7762. 2022-01-18 14:41:24,609:INFO:Initializing plot_model()
  7763. 2022-01-18 14:41:24,609:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7764. max_depth=None, max_features=None, max_leaf_nodes=None,
  7765. min_impurity_decrease=0.0, min_impurity_split=None,
  7766. min_samples_leaf=1, min_samples_split=2,
  7767. min_weight_fraction_leaf=0.0, presort='deprecated',
  7768. random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  7769. 2022-01-18 14:41:24,610:INFO:Checking exceptions
  7770. 2022-01-18 14:41:24,610:INFO:Preparing display monitor
  7771. 2022-01-18 14:41:24,614:INFO:Preloading libraries
  7772. 2022-01-18 14:41:24,615:INFO:Copying training dataset
  7773. 2022-01-18 14:41:24,616:INFO:Copying test dataset
  7774. 2022-01-18 14:41:24,617:INFO:Plot type: auc
  7775. 2022-01-18 14:41:24,618:INFO:Initializing get_config()
  7776. 2022-01-18 14:41:24,618:INFO:get_config(variable=prep_pipe)
  7777. 2022-01-18 14:41:24,622:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  7778. steps=[('dtypes',
  7779. DataTypes_Auto_infer(categorical_features=[],
  7780. display_types=True, features_todrop=[],
  7781. id_columns=[],
  7782. ml_usecase='classification',
  7783. numerical_features=[], target='label',
  7784. time_features=[])),
  7785. ('imputer',
  7786. Simple_Imputer(categorical_strategy='not_available',
  7787. fill_value_categorical=None,
  7788. fill_value_numerical=None,
  7789. numeric_strate...
  7790. ('fix_perfect', Remove_100(target='label')),
  7791. ('clean_names', Clean_Colum_Names()),
  7792. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  7793. ('dfs',
  7794. DFS_Classic(interactions=['multiply'],
  7795. ml_usecase='classification', n_jobs=-1,
  7796. random_state=3582, subclass='binary',
  7797. target='label',
  7798. top_features_to_pick_percentage=None)),
  7799. ('pca', 'passthrough')],
  7800. verbose=False)
  7801. 2022-01-18 14:41:24,622:INFO:get_config() succesfully completed......................................
  7802. 2022-01-18 14:41:24,623:INFO:Fitting Model
  7803. 2022-01-18 14:41:24,624:INFO:Scoring test/hold-out set
  7804. 2022-01-18 14:41:24,726:INFO:Visual Rendered Successfully
  7805. 2022-01-18 14:41:24,803:INFO:plot_model() succesfully completed......................................
  7806. 2022-01-18 14:41:27,522:INFO:Initializing plot_model()
  7807. 2022-01-18 14:41:27,523:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  7808. max_depth=None, max_features=None, max_leaf_nodes=None,
  7809. min_impurity_decrease=0.0, min_impurity_split=None,
  7810. min_samples_leaf=1, min_samples_split=2,
  7811. min_weight_fraction_leaf=0.0, presort='deprecated',
  7812. random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  7813. 2022-01-18 14:41:27,523:INFO:Checking exceptions
  7814. 2022-01-18 14:41:27,524:INFO:Preparing display monitor
  7815. 2022-01-18 14:41:27,528:INFO:Preloading libraries
  7816. 2022-01-18 14:41:27,530:INFO:Copying training dataset
  7817. 2022-01-18 14:41:27,531:INFO:Copying test dataset
  7818. 2022-01-18 14:41:27,532:INFO:Plot type: feature_all
  7819. 2022-01-18 14:41:27,533:WARNING:No coef_ found. Trying feature_importances_
  7820. 2022-01-18 14:41:28,026:INFO:Visual Rendered Successfully
  7821. 2022-01-18 14:41:28,106:INFO:plot_model() succesfully completed......................................
  7822. 2022-01-18 14:42:20,889:INFO:Initializing create_model()
  7823. 2022-01-18 14:42:20,889:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  7824. 2022-01-18 14:42:20,889:INFO:Checking exceptions
  7825. 2022-01-18 14:42:20,889:INFO:Preparing display monitor
  7826. 2022-01-18 14:42:20,901:INFO:Importing libraries
  7827. 2022-01-18 14:42:20,901:INFO:Copying training dataset
  7828. 2022-01-18 14:42:20,903:INFO:Defining folds
  7829. 2022-01-18 14:42:20,903:INFO:Declaring metric variables
  7830. 2022-01-18 14:42:20,908:INFO:Importing untrained model
  7831. 2022-01-18 14:42:20,913:INFO:Random Forest Classifier Imported succesfully
  7832. 2022-01-18 14:42:20,925:INFO:Starting cross validation
  7833. 2022-01-18 14:42:20,926:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7834. 2022-01-18 14:42:27,863:INFO:Calculating mean and std
  7835. 2022-01-18 14:42:27,864:INFO:Creating metrics dataframe
  7836. 2022-01-18 14:42:27,872:INFO:Finalizing model
  7837. 2022-01-18 14:42:28,265:INFO:Uploading results into container
  7838. 2022-01-18 14:42:28,266:INFO:Uploading model into container now
  7839. 2022-01-18 14:42:28,276:INFO:create_model_container: 16
  7840. 2022-01-18 14:42:28,277:INFO:master_model_container: 16
  7841. 2022-01-18 14:42:28,277:INFO:display_container: 4
  7842. 2022-01-18 14:42:28,277:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7843. criterion='gini', max_depth=None, max_features='auto',
  7844. max_leaf_nodes=None, max_samples=None,
  7845. min_impurity_decrease=0.0, min_impurity_split=None,
  7846. min_samples_leaf=1, min_samples_split=2,
  7847. min_weight_fraction_leaf=0.0, n_estimators=100,
  7848. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7849. warm_start=False)
  7850. 2022-01-18 14:42:28,278:INFO:create_model() succesfully completed......................................
  7851. 2022-01-18 14:42:33,938:INFO:Initializing evaluate_model()
  7852. 2022-01-18 14:42:33,938:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7853. criterion='gini', max_depth=None, max_features='auto',
  7854. max_leaf_nodes=None, max_samples=None,
  7855. min_impurity_decrease=0.0, min_impurity_split=None,
  7856. min_samples_leaf=1, min_samples_split=2,
  7857. min_weight_fraction_leaf=0.0, n_estimators=100,
  7858. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7859. warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  7860. 2022-01-18 14:42:33,949:INFO:Initializing plot_model()
  7861. 2022-01-18 14:42:33,949:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7862. criterion='gini', max_depth=None, max_features='auto',
  7863. max_leaf_nodes=None, max_samples=None,
  7864. min_impurity_decrease=0.0, min_impurity_split=None,
  7865. min_samples_leaf=1, min_samples_split=2,
  7866. min_weight_fraction_leaf=0.0, n_estimators=100,
  7867. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7868. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  7869. 2022-01-18 14:42:33,949:INFO:Checking exceptions
  7870. 2022-01-18 14:42:33,965:INFO:Preparing display monitor
  7871. 2022-01-18 14:42:33,970:INFO:Preloading libraries
  7872. 2022-01-18 14:42:33,980:INFO:Copying training dataset
  7873. 2022-01-18 14:42:33,981:INFO:Copying test dataset
  7874. 2022-01-18 14:42:33,982:INFO:Plot type: parameter
  7875. 2022-01-18 14:42:34,017:INFO:Visual Rendered Successfully
  7876. 2022-01-18 14:42:34,097:INFO:plot_model() succesfully completed......................................
  7877. 2022-01-18 14:42:36,916:INFO:Initializing plot_model()
  7878. 2022-01-18 14:42:36,917:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7879. criterion='gini', max_depth=None, max_features='auto',
  7880. max_leaf_nodes=None, max_samples=None,
  7881. min_impurity_decrease=0.0, min_impurity_split=None,
  7882. min_samples_leaf=1, min_samples_split=2,
  7883. min_weight_fraction_leaf=0.0, n_estimators=100,
  7884. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7885. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  7886. 2022-01-18 14:42:36,917:INFO:Checking exceptions
  7887. 2022-01-18 14:42:36,933:INFO:Preparing display monitor
  7888. 2022-01-18 14:42:36,938:INFO:Preloading libraries
  7889. 2022-01-18 14:42:36,947:INFO:Copying training dataset
  7890. 2022-01-18 14:42:36,948:INFO:Copying test dataset
  7891. 2022-01-18 14:42:36,949:INFO:Plot type: feature
  7892. 2022-01-18 14:42:36,977:WARNING:No coef_ found. Trying feature_importances_
  7893. 2022-01-18 14:42:37,076:INFO:Visual Rendered Successfully
  7894. 2022-01-18 14:42:37,151:INFO:plot_model() succesfully completed......................................
  7895. 2022-01-18 14:42:46,976:INFO:Initializing plot_model()
  7896. 2022-01-18 14:42:46,976:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7897. criterion='gini', max_depth=None, max_features='auto',
  7898. max_leaf_nodes=None, max_samples=None,
  7899. min_impurity_decrease=0.0, min_impurity_split=None,
  7900. min_samples_leaf=1, min_samples_split=2,
  7901. min_weight_fraction_leaf=0.0, n_estimators=100,
  7902. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7903. warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  7904. 2022-01-18 14:42:46,977:INFO:Checking exceptions
  7905. 2022-01-18 14:42:46,993:INFO:Preparing display monitor
  7906. 2022-01-18 14:42:46,998:INFO:Preloading libraries
  7907. 2022-01-18 14:42:47,008:INFO:Copying training dataset
  7908. 2022-01-18 14:42:47,009:INFO:Copying test dataset
  7909. 2022-01-18 14:42:47,010:INFO:Plot type: feature_all
  7910. 2022-01-18 14:42:47,043:WARNING:No coef_ found. Trying feature_importances_
  7911. 2022-01-18 14:42:47,566:INFO:Visual Rendered Successfully
  7912. 2022-01-18 14:42:47,648:INFO:plot_model() succesfully completed......................................
  7913. 2022-01-18 15:11:14,651:INFO:Initializing tune_model()
  7914. 2022-01-18 15:11:14,651:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7915. criterion='gini', max_depth=None, max_features='auto',
  7916. max_leaf_nodes=None, max_samples=None,
  7917. min_impurity_decrease=0.0, min_impurity_split=None,
  7918. min_samples_leaf=1, min_samples_split=2,
  7919. min_weight_fraction_leaf=0.0, n_estimators=100,
  7920. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7921. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Kappa, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  7922. 2022-01-18 15:11:14,652:INFO:Checking exceptions
  7923. 2022-01-18 15:11:14,653:INFO:Preparing display monitor
  7924. 2022-01-18 15:11:14,663:INFO:Copying training dataset
  7925. 2022-01-18 15:11:14,664:INFO:Checking base model
  7926. 2022-01-18 15:11:14,665:INFO:Base model : Random Forest Classifier
  7927. 2022-01-18 15:11:14,670:INFO:Declaring metric variables
  7928. 2022-01-18 15:11:14,675:INFO:Defining Hyperparameters
  7929. 2022-01-18 15:11:14,757:INFO:Tuning with n_jobs=-1
  7930. 2022-01-18 15:11:14,757:INFO:Initializing RandomizedSearchCV
  7931. 2022-01-18 15:11:53,323:INFO:best_params: {'actual_estimator__n_estimators': 240, 'actual_estimator__min_samples_split': 5, 'actual_estimator__min_samples_leaf': 2, 'actual_estimator__min_impurity_decrease': 0.0005, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 11, 'actual_estimator__criterion': 'gini', 'actual_estimator__class_weight': {}, 'actual_estimator__bootstrap': False}
  7932. 2022-01-18 15:11:53,324:INFO:Hyperparameter search completed
  7933. 2022-01-18 15:11:53,324:INFO:SubProcess create_model() called ==================================
  7934. 2022-01-18 15:11:53,325:INFO:Initializing create_model()
  7935. 2022-01-18 15:11:53,325:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  7936. criterion='gini', max_depth=None, max_features='auto',
  7937. max_leaf_nodes=None, max_samples=None,
  7938. min_impurity_decrease=0.0, min_impurity_split=None,
  7939. min_samples_leaf=1, min_samples_split=2,
  7940. min_weight_fraction_leaf=0.0, n_estimators=100,
  7941. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7942. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cbe340>, kwargs={'n_estimators': 240, 'min_samples_split': 5, 'min_samples_leaf': 2, 'min_impurity_decrease': 0.0005, 'max_features': 1.0, 'max_depth': 11, 'criterion': 'gini', 'class_weight': {}, 'bootstrap': False})
  7943. 2022-01-18 15:11:53,325:INFO:Checking exceptions
  7944. 2022-01-18 15:11:53,325:INFO:Importing libraries
  7945. 2022-01-18 15:11:53,325:INFO:Copying training dataset
  7946. 2022-01-18 15:11:53,328:INFO:Defining folds
  7947. 2022-01-18 15:11:53,328:INFO:Declaring metric variables
  7948. 2022-01-18 15:11:53,334:INFO:Importing untrained model
  7949. 2022-01-18 15:11:53,334:INFO:Declaring custom model
  7950. 2022-01-18 15:11:53,340:INFO:Random Forest Classifier Imported succesfully
  7951. 2022-01-18 15:11:53,351:INFO:Starting cross validation
  7952. 2022-01-18 15:11:53,352:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  7953. 2022-01-18 15:12:14,789:INFO:Calculating mean and std
  7954. 2022-01-18 15:12:14,790:INFO:Creating metrics dataframe
  7955. 2022-01-18 15:12:14,797:INFO:Finalizing model
  7956. 2022-01-18 15:12:16,314:INFO:Uploading results into container
  7957. 2022-01-18 15:12:16,315:INFO:Uploading model into container now
  7958. 2022-01-18 15:12:16,315:INFO:create_model_container: 17
  7959. 2022-01-18 15:12:16,315:INFO:master_model_container: 17
  7960. 2022-01-18 15:12:16,315:INFO:display_container: 5
  7961. 2022-01-18 15:12:16,316:INFO:RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  7962. criterion='gini', max_depth=11, max_features=1.0,
  7963. max_leaf_nodes=None, max_samples=None,
  7964. min_impurity_decrease=0.0005, min_impurity_split=None,
  7965. min_samples_leaf=2, min_samples_split=5,
  7966. min_weight_fraction_leaf=0.0, n_estimators=240,
  7967. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7968. warm_start=False)
  7969. 2022-01-18 15:12:16,316:INFO:create_model() succesfully completed......................................
  7970. 2022-01-18 15:12:16,412:INFO:SubProcess create_model() end ==================================
  7971. 2022-01-18 15:12:16,423:INFO:create_model_container: 17
  7972. 2022-01-18 15:12:16,423:INFO:master_model_container: 17
  7973. 2022-01-18 15:12:16,423:INFO:display_container: 5
  7974. 2022-01-18 15:12:16,424:INFO:RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
  7975. criterion='gini', max_depth=11, max_features=1.0,
  7976. max_leaf_nodes=None, max_samples=None,
  7977. min_impurity_decrease=0.0005, min_impurity_split=None,
  7978. min_samples_leaf=2, min_samples_split=5,
  7979. min_weight_fraction_leaf=0.0, n_estimators=240,
  7980. n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
  7981. warm_start=False)
  7982. 2022-01-18 15:12:16,424:INFO:tune_model() succesfully completed......................................
  7983. 2022-01-18 15:13:14,147:INFO:PyCaret Supervised Module
  7984. 2022-01-18 15:13:14,148:INFO:ML Usecase: classification
  7985. 2022-01-18 15:13:14,148:INFO:version 2.3.6
  7986. 2022-01-18 15:13:14,148:INFO:Initializing setup()
  7987. 2022-01-18 15:13:14,148:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.1, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  7988. 2022-01-18 15:13:14,148:INFO:Checking environment
  7989. 2022-01-18 15:13:14,149:INFO:python_version: 3.8.8
  7990. 2022-01-18 15:13:14,149:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  7991. 2022-01-18 15:13:14,149:INFO:machine: x86_64
  7992. 2022-01-18 15:13:14,149:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  7993. 2022-01-18 15:13:14,149:INFO:Memory: svmem(total=33619935232, available=20244910080, percent=39.8, used=12524711936, free=17569738752, active=1295994880, inactive=14082088960, buffers=683974656, cached=2841509888, shared=383741952, slab=326787072)
  7994. 2022-01-18 15:13:14,150:INFO:Physical Core: 16
  7995. 2022-01-18 15:13:14,150:INFO:Logical Core: 32
  7996. 2022-01-18 15:13:14,150:INFO:Checking libraries
  7997. 2022-01-18 15:13:14,150:INFO:pd==1.2.4
  7998. 2022-01-18 15:13:14,151:INFO:numpy==1.19.5
  7999. 2022-01-18 15:13:14,151:INFO:sklearn==0.23.2
  8000. 2022-01-18 15:13:14,151:INFO:lightgbm==3.3.2
  8001. 2022-01-18 15:13:14,151:WARNING:catboost not found
  8002. 2022-01-18 15:13:14,152:WARNING:xgboost not found
  8003. 2022-01-18 15:13:14,152:INFO:mlflow==1.22.0
  8004. 2022-01-18 15:13:14,152:INFO:Checking Exceptions
  8005. 2022-01-18 15:13:14,153:INFO:Declaring global variables
  8006. 2022-01-18 15:13:14,153:INFO:USI: c638
  8007. 2022-01-18 15:13:14,153:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  8008. 2022-01-18 15:13:14,153:INFO:Preparing display monitor
  8009. 2022-01-18 15:13:14,153:INFO:Preparing display monitor
  8010. 2022-01-18 15:13:14,161:INFO:Importing libraries
  8011. 2022-01-18 15:13:14,161:INFO:Copying data for preprocessing
  8012. 2022-01-18 15:13:14,166:INFO:Declaring preprocessing parameters
  8013. 2022-01-18 15:13:14,167:WARNING:cuML not found
  8014. 2022-01-18 15:13:14,168:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  8015. 2022-01-18 15:13:14,171:INFO:Creating preprocessing pipeline
  8016. 2022-01-18 15:13:14,202:INFO:Preprocessing pipeline created successfully
  8017. 2022-01-18 15:13:14,202:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  8018. 2022-01-18 15:13:14,202:INFO:Creating global containers
  8019. 2022-01-18 15:13:14,203:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  8020. 2022-01-18 15:13:19,745:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8021. 2022-01-18 15:13:19,775:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8022. 2022-01-18 15:13:19,776:WARNING:Couldn't import cuml.MBSGDClassifier
  8023. 2022-01-18 15:13:19,776:WARNING:Couldn't import cuml.svm.SVC
  8024. 2022-01-18 15:13:19,791:WARNING:Couldn't import cuml.linear_model
  8025. 2022-01-18 15:13:19,795:WARNING:Couldn't import cuml.ensemble
  8026. 2022-01-18 15:13:19,796:WARNING:Couldn't import xgboost.XGBClassifier
  8027. 2022-01-18 15:13:19,799:WARNING:Couldn't import catboost.CatBoostClassifier
  8028. 2022-01-18 15:13:19,799:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8029. 2022-01-18 15:13:19,830:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8030. 2022-01-18 15:13:19,831:WARNING:Couldn't import cuml.MBSGDClassifier
  8031. 2022-01-18 15:13:19,832:WARNING:Couldn't import cuml.svm.SVC
  8032. 2022-01-18 15:13:19,847:WARNING:Couldn't import cuml.linear_model
  8033. 2022-01-18 15:13:19,850:WARNING:Couldn't import cuml.ensemble
  8034. 2022-01-18 15:13:19,852:WARNING:Couldn't import xgboost.XGBClassifier
  8035. 2022-01-18 15:13:19,856:WARNING:Couldn't import catboost.CatBoostClassifier
  8036. 2022-01-18 15:13:19,857:INFO:Creating grid variables
  8037. 2022-01-18 15:13:19,870:INFO:create_model_container: 0
  8038. 2022-01-18 15:13:19,871:INFO:master_model_container: 0
  8039. 2022-01-18 15:13:19,871:INFO:display_container: 1
  8040. 2022-01-18 15:13:19,874:INFO:Pipeline(memory=None,
  8041. steps=[('dtypes',
  8042. DataTypes_Auto_infer(categorical_features=[],
  8043. display_types=True, features_todrop=[],
  8044. id_columns=[],
  8045. ml_usecase='classification',
  8046. numerical_features=[], target='label',
  8047. time_features=[])),
  8048. ('imputer',
  8049. Simple_Imputer(categorical_strategy='not_available',
  8050. fill_value_categorical=None,
  8051. fill_value_numerical=None,
  8052. numeric_strate...
  8053. ('fix_perfect', Remove_100(target='label')),
  8054. ('clean_names', Clean_Colum_Names()),
  8055. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  8056. ('dfs',
  8057. DFS_Classic(interactions=['multiply', 'divide'],
  8058. ml_usecase='classification', n_jobs=-1,
  8059. random_state=654, subclass='binary',
  8060. target='label',
  8061. top_features_to_pick_percentage=None)),
  8062. ('pca', 'passthrough')],
  8063. verbose=False)
  8064. 2022-01-18 15:13:19,874:INFO:setup() succesfully completed......................................
  8065. 2022-01-18 15:13:54,849:INFO:PyCaret Supervised Module
  8066. 2022-01-18 15:13:54,850:INFO:ML Usecase: classification
  8067. 2022-01-18 15:13:54,850:INFO:version 2.3.6
  8068. 2022-01-18 15:13:54,850:INFO:Initializing setup()
  8069. 2022-01-18 15:13:54,850:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  8070. 2022-01-18 15:13:54,851:INFO:Checking environment
  8071. 2022-01-18 15:13:54,851:INFO:python_version: 3.8.8
  8072. 2022-01-18 15:13:54,851:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  8073. 2022-01-18 15:13:54,851:INFO:machine: x86_64
  8074. 2022-01-18 15:13:54,851:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  8075. 2022-01-18 15:13:54,851:INFO:Memory: svmem(total=33619935232, available=20177162240, percent=40.0, used=12592431104, free=17504124928, active=1296068608, inactive=14146760704, buffers=684048384, cached=2839330816, shared=383741952, slab=326754304)
  8076. 2022-01-18 15:13:54,852:INFO:Physical Core: 16
  8077. 2022-01-18 15:13:54,852:INFO:Logical Core: 32
  8078. 2022-01-18 15:13:54,852:INFO:Checking libraries
  8079. 2022-01-18 15:13:54,853:INFO:pd==1.2.4
  8080. 2022-01-18 15:13:54,853:INFO:numpy==1.19.5
  8081. 2022-01-18 15:13:54,853:INFO:sklearn==0.23.2
  8082. 2022-01-18 15:13:54,853:INFO:lightgbm==3.3.2
  8083. 2022-01-18 15:13:54,853:WARNING:catboost not found
  8084. 2022-01-18 15:13:54,854:WARNING:xgboost not found
  8085. 2022-01-18 15:13:54,854:INFO:mlflow==1.22.0
  8086. 2022-01-18 15:13:54,854:INFO:Checking Exceptions
  8087. 2022-01-18 15:13:54,854:INFO:Declaring global variables
  8088. 2022-01-18 15:13:54,854:INFO:USI: 3c9d
  8089. 2022-01-18 15:13:54,855:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  8090. 2022-01-18 15:13:54,855:INFO:Preparing display monitor
  8091. 2022-01-18 15:13:54,855:INFO:Preparing display monitor
  8092. 2022-01-18 15:13:54,862:INFO:Importing libraries
  8093. 2022-01-18 15:13:54,862:INFO:Copying data for preprocessing
  8094. 2022-01-18 15:13:54,868:INFO:Declaring preprocessing parameters
  8095. 2022-01-18 15:13:54,869:WARNING:cuML not found
  8096. 2022-01-18 15:13:54,869:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  8097. 2022-01-18 15:13:54,872:INFO:Creating preprocessing pipeline
  8098. 2022-01-18 15:13:54,901:INFO:Preprocessing pipeline created successfully
  8099. 2022-01-18 15:13:54,901:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  8100. 2022-01-18 15:13:54,902:INFO:Creating global containers
  8101. 2022-01-18 15:13:54,902:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  8102. 2022-01-18 15:13:59,373:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8103. 2022-01-18 15:13:59,401:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8104. 2022-01-18 15:13:59,402:WARNING:Couldn't import cuml.MBSGDClassifier
  8105. 2022-01-18 15:13:59,403:WARNING:Couldn't import cuml.svm.SVC
  8106. 2022-01-18 15:13:59,417:WARNING:Couldn't import cuml.linear_model
  8107. 2022-01-18 15:13:59,421:WARNING:Couldn't import cuml.ensemble
  8108. 2022-01-18 15:13:59,422:WARNING:Couldn't import xgboost.XGBClassifier
  8109. 2022-01-18 15:13:59,425:WARNING:Couldn't import catboost.CatBoostClassifier
  8110. 2022-01-18 15:13:59,426:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8111. 2022-01-18 15:13:59,458:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8112. 2022-01-18 15:13:59,459:WARNING:Couldn't import cuml.MBSGDClassifier
  8113. 2022-01-18 15:13:59,460:WARNING:Couldn't import cuml.svm.SVC
  8114. 2022-01-18 15:13:59,474:WARNING:Couldn't import cuml.linear_model
  8115. 2022-01-18 15:13:59,477:WARNING:Couldn't import cuml.ensemble
  8116. 2022-01-18 15:13:59,479:WARNING:Couldn't import xgboost.XGBClassifier
  8117. 2022-01-18 15:13:59,484:WARNING:Couldn't import catboost.CatBoostClassifier
  8118. 2022-01-18 15:13:59,485:INFO:Creating grid variables
  8119. 2022-01-18 15:13:59,498:INFO:create_model_container: 0
  8120. 2022-01-18 15:13:59,499:INFO:master_model_container: 0
  8121. 2022-01-18 15:13:59,499:INFO:display_container: 1
  8122. 2022-01-18 15:13:59,502:INFO:Pipeline(memory=None,
  8123. steps=[('dtypes',
  8124. DataTypes_Auto_infer(categorical_features=[],
  8125. display_types=True, features_todrop=[],
  8126. id_columns=[],
  8127. ml_usecase='classification',
  8128. numerical_features=[], target='label',
  8129. time_features=[])),
  8130. ('imputer',
  8131. Simple_Imputer(categorical_strategy='not_available',
  8132. fill_value_categorical=None,
  8133. fill_value_numerical=None,
  8134. numeric_strate...
  8135. ('fix_perfect', Remove_100(target='label')),
  8136. ('clean_names', Clean_Colum_Names()),
  8137. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  8138. ('dfs',
  8139. DFS_Classic(interactions=['multiply', 'divide'],
  8140. ml_usecase='classification', n_jobs=-1,
  8141. random_state=4084, subclass='binary',
  8142. target='label',
  8143. top_features_to_pick_percentage=None)),
  8144. ('pca', 'passthrough')],
  8145. verbose=False)
  8146. 2022-01-18 15:13:59,502:INFO:setup() succesfully completed......................................
  8147. 2022-01-18 15:14:05,396:INFO:Initializing compare_models()
  8148. 2022-01-18 15:14:05,397:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  8149. 2022-01-18 15:14:05,397:INFO:Checking exceptions
  8150. 2022-01-18 15:14:05,398:INFO:Preparing display monitor
  8151. 2022-01-18 15:14:05,398:INFO:Preparing display monitor
  8152. 2022-01-18 15:14:05,414:INFO:Initializing Logistic Regression
  8153. 2022-01-18 15:14:05,414:INFO:Total runtime is 5.638599395751953e-06 minutes
  8154. 2022-01-18 15:14:05,420:INFO:SubProcess create_model() called ==================================
  8155. 2022-01-18 15:14:05,420:INFO:Initializing create_model()
  8156. 2022-01-18 15:14:05,421:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8157. 2022-01-18 15:14:05,421:INFO:Checking exceptions
  8158. 2022-01-18 15:14:05,421:INFO:Importing libraries
  8159. 2022-01-18 15:14:05,421:INFO:Copying training dataset
  8160. 2022-01-18 15:14:05,423:INFO:Defining folds
  8161. 2022-01-18 15:14:05,423:INFO:Declaring metric variables
  8162. 2022-01-18 15:14:05,428:INFO:Importing untrained model
  8163. 2022-01-18 15:14:05,433:INFO:Logistic Regression Imported succesfully
  8164. 2022-01-18 15:14:05,443:INFO:Starting cross validation
  8165. 2022-01-18 15:14:05,444:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8166. 2022-01-18 15:14:41,073:INFO:Calculating mean and std
  8167. 2022-01-18 15:14:41,074:INFO:Creating metrics dataframe
  8168. 2022-01-18 15:14:41,080:INFO:Uploading results into container
  8169. 2022-01-18 15:14:41,081:INFO:Uploading model into container now
  8170. 2022-01-18 15:14:41,083:INFO:create_model_container: 1
  8171. 2022-01-18 15:14:41,087:INFO:master_model_container: 1
  8172. 2022-01-18 15:14:41,087:INFO:display_container: 2
  8173. 2022-01-18 15:14:41,088:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  8174. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  8175. multi_class='auto', n_jobs=None, penalty='l2',
  8176. random_state=4084, solver='lbfgs', tol=0.0001, verbose=0,
  8177. warm_start=False)
  8178. 2022-01-18 15:14:41,088:INFO:create_model() succesfully completed......................................
  8179. 2022-01-18 15:14:41,176:INFO:SubProcess create_model() end ==================================
  8180. 2022-01-18 15:14:41,176:INFO:Creating metrics dataframe
  8181. 2022-01-18 15:14:41,186:INFO:Initializing K Neighbors Classifier
  8182. 2022-01-18 15:14:41,186:INFO:Total runtime is 0.5961978197097778 minutes
  8183. 2022-01-18 15:14:41,191:INFO:SubProcess create_model() called ==================================
  8184. 2022-01-18 15:14:41,191:INFO:Initializing create_model()
  8185. 2022-01-18 15:14:41,191:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8186. 2022-01-18 15:14:41,192:INFO:Checking exceptions
  8187. 2022-01-18 15:14:41,192:INFO:Importing libraries
  8188. 2022-01-18 15:14:41,192:INFO:Copying training dataset
  8189. 2022-01-18 15:14:41,193:INFO:Defining folds
  8190. 2022-01-18 15:14:41,194:INFO:Declaring metric variables
  8191. 2022-01-18 15:14:41,198:INFO:Importing untrained model
  8192. 2022-01-18 15:14:41,203:INFO:K Neighbors Classifier Imported succesfully
  8193. 2022-01-18 15:14:41,213:INFO:Starting cross validation
  8194. 2022-01-18 15:14:41,214:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8195. 2022-01-18 15:14:47,283:INFO:Calculating mean and std
  8196. 2022-01-18 15:14:47,284:INFO:Creating metrics dataframe
  8197. 2022-01-18 15:14:47,287:INFO:Uploading results into container
  8198. 2022-01-18 15:14:47,287:INFO:Uploading model into container now
  8199. 2022-01-18 15:14:47,287:INFO:create_model_container: 2
  8200. 2022-01-18 15:14:47,288:INFO:master_model_container: 2
  8201. 2022-01-18 15:14:47,288:INFO:display_container: 2
  8202. 2022-01-18 15:14:47,288:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  8203. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  8204. weights='uniform')
  8205. 2022-01-18 15:14:47,288:INFO:create_model() succesfully completed......................................
  8206. 2022-01-18 15:14:47,362:INFO:SubProcess create_model() end ==================================
  8207. 2022-01-18 15:14:47,363:INFO:Creating metrics dataframe
  8208. 2022-01-18 15:14:47,373:INFO:Initializing Naive Bayes
  8209. 2022-01-18 15:14:47,373:INFO:Total runtime is 0.6993180314699808 minutes
  8210. 2022-01-18 15:14:47,378:INFO:SubProcess create_model() called ==================================
  8211. 2022-01-18 15:14:47,379:INFO:Initializing create_model()
  8212. 2022-01-18 15:14:47,379:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8213. 2022-01-18 15:14:47,379:INFO:Checking exceptions
  8214. 2022-01-18 15:14:47,379:INFO:Importing libraries
  8215. 2022-01-18 15:14:47,379:INFO:Copying training dataset
  8216. 2022-01-18 15:14:47,381:INFO:Defining folds
  8217. 2022-01-18 15:14:47,381:INFO:Declaring metric variables
  8218. 2022-01-18 15:14:47,387:INFO:Importing untrained model
  8219. 2022-01-18 15:14:47,391:INFO:Naive Bayes Imported succesfully
  8220. 2022-01-18 15:14:47,401:INFO:Starting cross validation
  8221. 2022-01-18 15:14:47,402:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8222. 2022-01-18 15:14:47,721:INFO:Calculating mean and std
  8223. 2022-01-18 15:14:47,722:INFO:Creating metrics dataframe
  8224. 2022-01-18 15:14:47,725:INFO:Uploading results into container
  8225. 2022-01-18 15:14:47,725:INFO:Uploading model into container now
  8226. 2022-01-18 15:14:47,725:INFO:create_model_container: 3
  8227. 2022-01-18 15:14:47,725:INFO:master_model_container: 3
  8228. 2022-01-18 15:14:47,726:INFO:display_container: 2
  8229. 2022-01-18 15:14:47,726:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  8230. 2022-01-18 15:14:47,726:INFO:create_model() succesfully completed......................................
  8231. 2022-01-18 15:14:47,799:INFO:SubProcess create_model() end ==================================
  8232. 2022-01-18 15:14:47,799:INFO:Creating metrics dataframe
  8233. 2022-01-18 15:14:47,810:INFO:Initializing Decision Tree Classifier
  8234. 2022-01-18 15:14:47,810:INFO:Total runtime is 0.7066030661265055 minutes
  8235. 2022-01-18 15:14:47,815:INFO:SubProcess create_model() called ==================================
  8236. 2022-01-18 15:14:47,816:INFO:Initializing create_model()
  8237. 2022-01-18 15:14:47,816:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8238. 2022-01-18 15:14:47,816:INFO:Checking exceptions
  8239. 2022-01-18 15:14:47,816:INFO:Importing libraries
  8240. 2022-01-18 15:14:47,816:INFO:Copying training dataset
  8241. 2022-01-18 15:14:47,818:INFO:Defining folds
  8242. 2022-01-18 15:14:47,818:INFO:Declaring metric variables
  8243. 2022-01-18 15:14:47,824:INFO:Importing untrained model
  8244. 2022-01-18 15:14:47,829:INFO:Decision Tree Classifier Imported succesfully
  8245. 2022-01-18 15:14:47,840:INFO:Starting cross validation
  8246. 2022-01-18 15:14:47,841:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8247. 2022-01-18 15:14:50,645:INFO:Calculating mean and std
  8248. 2022-01-18 15:14:50,646:INFO:Creating metrics dataframe
  8249. 2022-01-18 15:14:50,648:INFO:Uploading results into container
  8250. 2022-01-18 15:14:50,649:INFO:Uploading model into container now
  8251. 2022-01-18 15:14:50,649:INFO:create_model_container: 4
  8252. 2022-01-18 15:14:50,649:INFO:master_model_container: 4
  8253. 2022-01-18 15:14:50,649:INFO:display_container: 2
  8254. 2022-01-18 15:14:50,650:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  8255. max_depth=None, max_features=None, max_leaf_nodes=None,
  8256. min_impurity_decrease=0.0, min_impurity_split=None,
  8257. min_samples_leaf=1, min_samples_split=2,
  8258. min_weight_fraction_leaf=0.0, presort='deprecated',
  8259. random_state=4084, splitter='best')
  8260. 2022-01-18 15:14:50,650:INFO:create_model() succesfully completed......................................
  8261. 2022-01-18 15:14:50,721:INFO:SubProcess create_model() end ==================================
  8262. 2022-01-18 15:14:50,721:INFO:Creating metrics dataframe
  8263. 2022-01-18 15:14:50,732:INFO:Initializing SVM - Linear Kernel
  8264. 2022-01-18 15:14:50,733:INFO:Total runtime is 0.7553091088930766 minutes
  8265. 2022-01-18 15:14:50,738:INFO:SubProcess create_model() called ==================================
  8266. 2022-01-18 15:14:50,739:INFO:Initializing create_model()
  8267. 2022-01-18 15:14:50,739:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8268. 2022-01-18 15:14:50,739:INFO:Checking exceptions
  8269. 2022-01-18 15:14:50,739:INFO:Importing libraries
  8270. 2022-01-18 15:14:50,740:INFO:Copying training dataset
  8271. 2022-01-18 15:14:50,741:INFO:Defining folds
  8272. 2022-01-18 15:14:50,742:INFO:Declaring metric variables
  8273. 2022-01-18 15:14:50,747:INFO:Importing untrained model
  8274. 2022-01-18 15:14:50,753:INFO:SVM - Linear Kernel Imported succesfully
  8275. 2022-01-18 15:14:50,764:INFO:Starting cross validation
  8276. 2022-01-18 15:14:50,765:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8277. 2022-01-18 15:14:52,948:INFO:Calculating mean and std
  8278. 2022-01-18 15:14:52,949:INFO:Creating metrics dataframe
  8279. 2022-01-18 15:14:52,953:INFO:Uploading results into container
  8280. 2022-01-18 15:14:52,954:INFO:Uploading model into container now
  8281. 2022-01-18 15:14:52,955:INFO:create_model_container: 5
  8282. 2022-01-18 15:14:52,960:INFO:master_model_container: 5
  8283. 2022-01-18 15:14:52,961:INFO:display_container: 2
  8284. 2022-01-18 15:14:52,962:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  8285. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  8286. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  8287. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  8288. power_t=0.5, random_state=4084, shuffle=True, tol=0.001,
  8289. validation_fraction=0.1, verbose=0, warm_start=False)
  8290. 2022-01-18 15:14:52,962:INFO:create_model() succesfully completed......................................
  8291. 2022-01-18 15:14:53,064:INFO:SubProcess create_model() end ==================================
  8292. 2022-01-18 15:14:53,065:INFO:Creating metrics dataframe
  8293. 2022-01-18 15:14:53,077:INFO:Initializing Ridge Classifier
  8294. 2022-01-18 15:14:53,077:INFO:Total runtime is 0.7943800727526347 minutes
  8295. 2022-01-18 15:14:53,082:INFO:SubProcess create_model() called ==================================
  8296. 2022-01-18 15:14:53,082:INFO:Initializing create_model()
  8297. 2022-01-18 15:14:53,083:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8298. 2022-01-18 15:14:53,083:INFO:Checking exceptions
  8299. 2022-01-18 15:14:53,083:INFO:Importing libraries
  8300. 2022-01-18 15:14:53,083:INFO:Copying training dataset
  8301. 2022-01-18 15:14:53,085:INFO:Defining folds
  8302. 2022-01-18 15:14:53,085:INFO:Declaring metric variables
  8303. 2022-01-18 15:14:53,090:INFO:Importing untrained model
  8304. 2022-01-18 15:14:53,095:INFO:Ridge Classifier Imported succesfully
  8305. 2022-01-18 15:14:53,105:INFO:Starting cross validation
  8306. 2022-01-18 15:14:53,105:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8307. 2022-01-18 15:14:53,722:INFO:Calculating mean and std
  8308. 2022-01-18 15:14:53,723:INFO:Creating metrics dataframe
  8309. 2022-01-18 15:14:53,727:INFO:Uploading results into container
  8310. 2022-01-18 15:14:53,728:INFO:Uploading model into container now
  8311. 2022-01-18 15:14:53,730:INFO:create_model_container: 6
  8312. 2022-01-18 15:14:53,731:INFO:master_model_container: 6
  8313. 2022-01-18 15:14:53,734:INFO:display_container: 2
  8314. 2022-01-18 15:14:53,736:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  8315. max_iter=None, normalize=False, random_state=4084,
  8316. solver='auto', tol=0.001)
  8317. 2022-01-18 15:14:53,736:INFO:create_model() succesfully completed......................................
  8318. 2022-01-18 15:14:53,839:INFO:SubProcess create_model() end ==================================
  8319. 2022-01-18 15:14:53,839:INFO:Creating metrics dataframe
  8320. 2022-01-18 15:14:53,851:INFO:Initializing Random Forest Classifier
  8321. 2022-01-18 15:14:53,851:INFO:Total runtime is 0.8072850068410238 minutes
  8322. 2022-01-18 15:14:53,857:INFO:SubProcess create_model() called ==================================
  8323. 2022-01-18 15:14:53,857:INFO:Initializing create_model()
  8324. 2022-01-18 15:14:53,857:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8325. 2022-01-18 15:14:53,857:INFO:Checking exceptions
  8326. 2022-01-18 15:14:53,857:INFO:Importing libraries
  8327. 2022-01-18 15:14:53,858:INFO:Copying training dataset
  8328. 2022-01-18 15:14:53,859:INFO:Defining folds
  8329. 2022-01-18 15:14:53,859:INFO:Declaring metric variables
  8330. 2022-01-18 15:14:53,864:INFO:Importing untrained model
  8331. 2022-01-18 15:14:53,869:INFO:Random Forest Classifier Imported succesfully
  8332. 2022-01-18 15:14:53,879:INFO:Starting cross validation
  8333. 2022-01-18 15:14:53,880:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8334. 2022-01-18 15:15:00,996:INFO:Calculating mean and std
  8335. 2022-01-18 15:15:00,997:INFO:Creating metrics dataframe
  8336. 2022-01-18 15:15:00,999:INFO:Uploading results into container
  8337. 2022-01-18 15:15:00,999:INFO:Uploading model into container now
  8338. 2022-01-18 15:15:01,000:INFO:create_model_container: 7
  8339. 2022-01-18 15:15:01,000:INFO:master_model_container: 7
  8340. 2022-01-18 15:15:01,000:INFO:display_container: 2
  8341. 2022-01-18 15:15:01,001:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8342. criterion='gini', max_depth=None, max_features='auto',
  8343. max_leaf_nodes=None, max_samples=None,
  8344. min_impurity_decrease=0.0, min_impurity_split=None,
  8345. min_samples_leaf=1, min_samples_split=2,
  8346. min_weight_fraction_leaf=0.0, n_estimators=100,
  8347. n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
  8348. warm_start=False)
  8349. 2022-01-18 15:15:01,001:INFO:create_model() succesfully completed......................................
  8350. 2022-01-18 15:15:01,081:INFO:SubProcess create_model() end ==================================
  8351. 2022-01-18 15:15:01,081:INFO:Creating metrics dataframe
  8352. 2022-01-18 15:15:01,092:INFO:Initializing Quadratic Discriminant Analysis
  8353. 2022-01-18 15:15:01,092:INFO:Total runtime is 0.927973997592926 minutes
  8354. 2022-01-18 15:15:01,097:INFO:SubProcess create_model() called ==================================
  8355. 2022-01-18 15:15:01,098:INFO:Initializing create_model()
  8356. 2022-01-18 15:15:01,098:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8357. 2022-01-18 15:15:01,098:INFO:Checking exceptions
  8358. 2022-01-18 15:15:01,098:INFO:Importing libraries
  8359. 2022-01-18 15:15:01,098:INFO:Copying training dataset
  8360. 2022-01-18 15:15:01,100:INFO:Defining folds
  8361. 2022-01-18 15:15:01,100:INFO:Declaring metric variables
  8362. 2022-01-18 15:15:01,105:INFO:Importing untrained model
  8363. 2022-01-18 15:15:01,110:INFO:Quadratic Discriminant Analysis Imported succesfully
  8364. 2022-01-18 15:15:01,119:INFO:Starting cross validation
  8365. 2022-01-18 15:15:01,120:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8366. 2022-01-18 15:15:02,652:INFO:Calculating mean and std
  8367. 2022-01-18 15:15:02,653:INFO:Creating metrics dataframe
  8368. 2022-01-18 15:15:02,657:INFO:Uploading results into container
  8369. 2022-01-18 15:15:02,658:INFO:Uploading model into container now
  8370. 2022-01-18 15:15:02,658:INFO:create_model_container: 8
  8371. 2022-01-18 15:15:02,658:INFO:master_model_container: 8
  8372. 2022-01-18 15:15:02,658:INFO:display_container: 2
  8373. 2022-01-18 15:15:02,659:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  8374. store_covariance=False, tol=0.0001)
  8375. 2022-01-18 15:15:02,659:INFO:create_model() succesfully completed......................................
  8376. 2022-01-18 15:15:02,748:INFO:SubProcess create_model() end ==================================
  8377. 2022-01-18 15:15:02,749:INFO:Creating metrics dataframe
  8378. 2022-01-18 15:15:02,761:INFO:Initializing Ada Boost Classifier
  8379. 2022-01-18 15:15:02,761:INFO:Total runtime is 0.9557802319526671 minutes
  8380. 2022-01-18 15:15:02,766:INFO:SubProcess create_model() called ==================================
  8381. 2022-01-18 15:15:02,766:INFO:Initializing create_model()
  8382. 2022-01-18 15:15:02,767:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8383. 2022-01-18 15:15:02,767:INFO:Checking exceptions
  8384. 2022-01-18 15:15:02,767:INFO:Importing libraries
  8385. 2022-01-18 15:15:02,767:INFO:Copying training dataset
  8386. 2022-01-18 15:15:02,769:INFO:Defining folds
  8387. 2022-01-18 15:15:02,769:INFO:Declaring metric variables
  8388. 2022-01-18 15:15:02,774:INFO:Importing untrained model
  8389. 2022-01-18 15:15:02,779:INFO:Ada Boost Classifier Imported succesfully
  8390. 2022-01-18 15:15:02,790:INFO:Starting cross validation
  8391. 2022-01-18 15:15:02,790:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8392. 2022-01-18 15:15:17,483:INFO:Calculating mean and std
  8393. 2022-01-18 15:15:17,484:INFO:Creating metrics dataframe
  8394. 2022-01-18 15:15:17,487:INFO:Uploading results into container
  8395. 2022-01-18 15:15:17,487:INFO:Uploading model into container now
  8396. 2022-01-18 15:15:17,487:INFO:create_model_container: 9
  8397. 2022-01-18 15:15:17,487:INFO:master_model_container: 9
  8398. 2022-01-18 15:15:17,488:INFO:display_container: 2
  8399. 2022-01-18 15:15:17,488:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  8400. n_estimators=50, random_state=4084)
  8401. 2022-01-18 15:15:17,488:INFO:create_model() succesfully completed......................................
  8402. 2022-01-18 15:15:17,561:INFO:SubProcess create_model() end ==================================
  8403. 2022-01-18 15:15:17,561:INFO:Creating metrics dataframe
  8404. 2022-01-18 15:15:17,573:INFO:Initializing Gradient Boosting Classifier
  8405. 2022-01-18 15:15:17,573:INFO:Total runtime is 1.2026562372843423 minutes
  8406. 2022-01-18 15:15:17,579:INFO:SubProcess create_model() called ==================================
  8407. 2022-01-18 15:15:17,579:INFO:Initializing create_model()
  8408. 2022-01-18 15:15:17,579:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8409. 2022-01-18 15:15:17,579:INFO:Checking exceptions
  8410. 2022-01-18 15:15:17,580:INFO:Importing libraries
  8411. 2022-01-18 15:15:17,580:INFO:Copying training dataset
  8412. 2022-01-18 15:15:17,581:INFO:Defining folds
  8413. 2022-01-18 15:15:17,581:INFO:Declaring metric variables
  8414. 2022-01-18 15:15:17,587:INFO:Importing untrained model
  8415. 2022-01-18 15:15:17,592:INFO:Gradient Boosting Classifier Imported succesfully
  8416. 2022-01-18 15:15:17,604:INFO:Starting cross validation
  8417. 2022-01-18 15:15:17,604:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8418. 2022-01-18 15:16:20,030:INFO:Calculating mean and std
  8419. 2022-01-18 15:16:20,031:INFO:Creating metrics dataframe
  8420. 2022-01-18 15:16:20,034:INFO:Uploading results into container
  8421. 2022-01-18 15:16:20,034:INFO:Uploading model into container now
  8422. 2022-01-18 15:16:20,034:INFO:create_model_container: 10
  8423. 2022-01-18 15:16:20,034:INFO:master_model_container: 10
  8424. 2022-01-18 15:16:20,035:INFO:display_container: 2
  8425. 2022-01-18 15:16:20,035:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  8426. learning_rate=0.1, loss='deviance', max_depth=3,
  8427. max_features=None, max_leaf_nodes=None,
  8428. min_impurity_decrease=0.0, min_impurity_split=None,
  8429. min_samples_leaf=1, min_samples_split=2,
  8430. min_weight_fraction_leaf=0.0, n_estimators=100,
  8431. n_iter_no_change=None, presort='deprecated',
  8432. random_state=4084, subsample=1.0, tol=0.0001,
  8433. validation_fraction=0.1, verbose=0,
  8434. warm_start=False)
  8435. 2022-01-18 15:16:20,035:INFO:create_model() succesfully completed......................................
  8436. 2022-01-18 15:16:20,117:INFO:SubProcess create_model() end ==================================
  8437. 2022-01-18 15:16:20,117:INFO:Creating metrics dataframe
  8438. 2022-01-18 15:16:20,129:INFO:Initializing Linear Discriminant Analysis
  8439. 2022-01-18 15:16:20,130:INFO:Total runtime is 2.2452584147453307 minutes
  8440. 2022-01-18 15:16:20,135:INFO:SubProcess create_model() called ==================================
  8441. 2022-01-18 15:16:20,135:INFO:Initializing create_model()
  8442. 2022-01-18 15:16:20,135:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8443. 2022-01-18 15:16:20,136:INFO:Checking exceptions
  8444. 2022-01-18 15:16:20,136:INFO:Importing libraries
  8445. 2022-01-18 15:16:20,136:INFO:Copying training dataset
  8446. 2022-01-18 15:16:20,137:INFO:Defining folds
  8447. 2022-01-18 15:16:20,138:INFO:Declaring metric variables
  8448. 2022-01-18 15:16:20,143:INFO:Importing untrained model
  8449. 2022-01-18 15:16:20,147:INFO:Linear Discriminant Analysis Imported succesfully
  8450. 2022-01-18 15:16:20,158:INFO:Starting cross validation
  8451. 2022-01-18 15:16:20,158:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8452. 2022-01-18 15:16:22,678:INFO:Calculating mean and std
  8453. 2022-01-18 15:16:22,680:INFO:Creating metrics dataframe
  8454. 2022-01-18 15:16:22,684:INFO:Uploading results into container
  8455. 2022-01-18 15:16:22,685:INFO:Uploading model into container now
  8456. 2022-01-18 15:16:22,686:INFO:create_model_container: 11
  8457. 2022-01-18 15:16:22,686:INFO:master_model_container: 11
  8458. 2022-01-18 15:16:22,686:INFO:display_container: 2
  8459. 2022-01-18 15:16:22,687:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  8460. solver='svd', store_covariance=False, tol=0.0001)
  8461. 2022-01-18 15:16:22,687:INFO:create_model() succesfully completed......................................
  8462. 2022-01-18 15:16:22,776:INFO:SubProcess create_model() end ==================================
  8463. 2022-01-18 15:16:22,776:INFO:Creating metrics dataframe
  8464. 2022-01-18 15:16:22,789:INFO:Initializing Extra Trees Classifier
  8465. 2022-01-18 15:16:22,790:INFO:Total runtime is 2.289591606458028 minutes
  8466. 2022-01-18 15:16:22,795:INFO:SubProcess create_model() called ==================================
  8467. 2022-01-18 15:16:22,795:INFO:Initializing create_model()
  8468. 2022-01-18 15:16:22,795:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8469. 2022-01-18 15:16:22,796:INFO:Checking exceptions
  8470. 2022-01-18 15:16:22,796:INFO:Importing libraries
  8471. 2022-01-18 15:16:22,796:INFO:Copying training dataset
  8472. 2022-01-18 15:16:22,798:INFO:Defining folds
  8473. 2022-01-18 15:16:22,798:INFO:Declaring metric variables
  8474. 2022-01-18 15:16:22,803:INFO:Importing untrained model
  8475. 2022-01-18 15:16:22,808:INFO:Extra Trees Classifier Imported succesfully
  8476. 2022-01-18 15:16:22,818:INFO:Starting cross validation
  8477. 2022-01-18 15:16:22,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8478. 2022-01-18 15:16:29,748:INFO:Calculating mean and std
  8479. 2022-01-18 15:16:29,749:INFO:Creating metrics dataframe
  8480. 2022-01-18 15:16:29,752:INFO:Uploading results into container
  8481. 2022-01-18 15:16:29,752:INFO:Uploading model into container now
  8482. 2022-01-18 15:16:29,752:INFO:create_model_container: 12
  8483. 2022-01-18 15:16:29,753:INFO:master_model_container: 12
  8484. 2022-01-18 15:16:29,753:INFO:display_container: 2
  8485. 2022-01-18 15:16:29,753:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  8486. criterion='gini', max_depth=None, max_features='auto',
  8487. max_leaf_nodes=None, max_samples=None,
  8488. min_impurity_decrease=0.0, min_impurity_split=None,
  8489. min_samples_leaf=1, min_samples_split=2,
  8490. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  8491. oob_score=False, random_state=4084, verbose=0,
  8492. warm_start=False)
  8493. 2022-01-18 15:16:29,753:INFO:create_model() succesfully completed......................................
  8494. 2022-01-18 15:16:29,842:INFO:SubProcess create_model() end ==================================
  8495. 2022-01-18 15:16:29,843:INFO:Creating metrics dataframe
  8496. 2022-01-18 15:16:29,856:INFO:Initializing Light Gradient Boosting Machine
  8497. 2022-01-18 15:16:29,856:INFO:Total runtime is 2.4073742190996805 minutes
  8498. 2022-01-18 15:16:29,862:INFO:SubProcess create_model() called ==================================
  8499. 2022-01-18 15:16:29,862:INFO:Initializing create_model()
  8500. 2022-01-18 15:16:29,862:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8501. 2022-01-18 15:16:29,862:INFO:Checking exceptions
  8502. 2022-01-18 15:16:29,863:INFO:Importing libraries
  8503. 2022-01-18 15:16:29,863:INFO:Copying training dataset
  8504. 2022-01-18 15:16:29,864:INFO:Defining folds
  8505. 2022-01-18 15:16:29,864:INFO:Declaring metric variables
  8506. 2022-01-18 15:16:29,869:INFO:Importing untrained model
  8507. 2022-01-18 15:16:29,875:INFO:Light Gradient Boosting Machine Imported succesfully
  8508. 2022-01-18 15:16:29,886:INFO:Starting cross validation
  8509. 2022-01-18 15:16:29,886:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8510. 2022-01-18 15:16:35,728:INFO:Calculating mean and std
  8511. 2022-01-18 15:16:35,729:INFO:Creating metrics dataframe
  8512. 2022-01-18 15:16:35,732:INFO:Uploading results into container
  8513. 2022-01-18 15:16:35,732:INFO:Uploading model into container now
  8514. 2022-01-18 15:16:35,732:INFO:create_model_container: 13
  8515. 2022-01-18 15:16:35,732:INFO:master_model_container: 13
  8516. 2022-01-18 15:16:35,733:INFO:display_container: 2
  8517. 2022-01-18 15:16:35,733:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  8518. importance_type='split', learning_rate=0.1, max_depth=-1,
  8519. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  8520. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  8521. random_state=4084, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  8522. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  8523. 2022-01-18 15:16:35,733:INFO:create_model() succesfully completed......................................
  8524. 2022-01-18 15:16:35,811:INFO:SubProcess create_model() end ==================================
  8525. 2022-01-18 15:16:35,812:INFO:Creating metrics dataframe
  8526. 2022-01-18 15:16:35,825:INFO:Initializing Dummy Classifier
  8527. 2022-01-18 15:16:35,825:INFO:Total runtime is 2.506855265299479 minutes
  8528. 2022-01-18 15:16:35,831:INFO:SubProcess create_model() called ==================================
  8529. 2022-01-18 15:16:35,831:INFO:Initializing create_model()
  8530. 2022-01-18 15:16:35,831:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8585792a60>, kwargs={})
  8531. 2022-01-18 15:16:35,831:INFO:Checking exceptions
  8532. 2022-01-18 15:16:35,832:INFO:Importing libraries
  8533. 2022-01-18 15:16:35,832:INFO:Copying training dataset
  8534. 2022-01-18 15:16:35,834:INFO:Defining folds
  8535. 2022-01-18 15:16:35,834:INFO:Declaring metric variables
  8536. 2022-01-18 15:16:35,839:INFO:Importing untrained model
  8537. 2022-01-18 15:16:35,844:INFO:Dummy Classifier Imported succesfully
  8538. 2022-01-18 15:16:35,854:INFO:Starting cross validation
  8539. 2022-01-18 15:16:35,855:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8540. 2022-01-18 15:16:35,986:INFO:Calculating mean and std
  8541. 2022-01-18 15:16:35,987:INFO:Creating metrics dataframe
  8542. 2022-01-18 15:16:35,990:INFO:Uploading results into container
  8543. 2022-01-18 15:16:35,990:INFO:Uploading model into container now
  8544. 2022-01-18 15:16:35,990:INFO:create_model_container: 14
  8545. 2022-01-18 15:16:35,990:INFO:master_model_container: 14
  8546. 2022-01-18 15:16:35,990:INFO:display_container: 2
  8547. 2022-01-18 15:16:35,991:INFO:DummyClassifier(constant=None, random_state=4084, strategy='prior')
  8548. 2022-01-18 15:16:35,991:INFO:create_model() succesfully completed......................................
  8549. 2022-01-18 15:16:36,072:INFO:SubProcess create_model() end ==================================
  8550. 2022-01-18 15:16:36,073:INFO:Creating metrics dataframe
  8551. 2022-01-18 15:16:36,100:INFO:Initializing create_model()
  8552. 2022-01-18 15:16:36,100:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8553. criterion='gini', max_depth=None, max_features='auto',
  8554. max_leaf_nodes=None, max_samples=None,
  8555. min_impurity_decrease=0.0, min_impurity_split=None,
  8556. min_samples_leaf=1, min_samples_split=2,
  8557. min_weight_fraction_leaf=0.0, n_estimators=100,
  8558. n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
  8559. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  8560. 2022-01-18 15:16:36,100:INFO:Checking exceptions
  8561. 2022-01-18 15:16:36,101:INFO:Importing libraries
  8562. 2022-01-18 15:16:36,101:INFO:Copying training dataset
  8563. 2022-01-18 15:16:36,102:INFO:Defining folds
  8564. 2022-01-18 15:16:36,103:INFO:Declaring metric variables
  8565. 2022-01-18 15:16:36,103:INFO:Importing untrained model
  8566. 2022-01-18 15:16:36,103:INFO:Declaring custom model
  8567. 2022-01-18 15:16:36,104:INFO:Random Forest Classifier Imported succesfully
  8568. 2022-01-18 15:16:36,104:INFO:Cross validation set to False
  8569. 2022-01-18 15:16:36,104:INFO:Fitting Model
  8570. 2022-01-18 15:16:36,529:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8571. criterion='gini', max_depth=None, max_features='auto',
  8572. max_leaf_nodes=None, max_samples=None,
  8573. min_impurity_decrease=0.0, min_impurity_split=None,
  8574. min_samples_leaf=1, min_samples_split=2,
  8575. min_weight_fraction_leaf=0.0, n_estimators=100,
  8576. n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
  8577. warm_start=False)
  8578. 2022-01-18 15:16:36,529:INFO:create_models() succesfully completed......................................
  8579. 2022-01-18 15:16:36,635:INFO:create_model_container: 14
  8580. 2022-01-18 15:16:36,636:INFO:master_model_container: 14
  8581. 2022-01-18 15:16:36,636:INFO:display_container: 2
  8582. 2022-01-18 15:16:36,636:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8583. criterion='gini', max_depth=None, max_features='auto',
  8584. max_leaf_nodes=None, max_samples=None,
  8585. min_impurity_decrease=0.0, min_impurity_split=None,
  8586. min_samples_leaf=1, min_samples_split=2,
  8587. min_weight_fraction_leaf=0.0, n_estimators=100,
  8588. n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
  8589. warm_start=False)
  8590. 2022-01-18 15:16:36,636:INFO:compare_models() succesfully completed......................................
  8591. 2022-01-18 15:17:05,159:INFO:PyCaret Supervised Module
  8592. 2022-01-18 15:17:05,159:INFO:ML Usecase: classification
  8593. 2022-01-18 15:17:05,159:INFO:version 2.3.6
  8594. 2022-01-18 15:17:05,159:INFO:Initializing setup()
  8595. 2022-01-18 15:17:05,160:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  8596. 2022-01-18 15:17:05,160:INFO:Checking environment
  8597. 2022-01-18 15:17:05,160:INFO:python_version: 3.8.8
  8598. 2022-01-18 15:17:05,160:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  8599. 2022-01-18 15:17:05,160:INFO:machine: x86_64
  8600. 2022-01-18 15:17:05,160:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  8601. 2022-01-18 15:17:05,161:INFO:Memory: svmem(total=33619935232, available=20268515328, percent=39.7, used=12500918272, free=17588752384, active=1296396288, inactive=14060224512, buffers=684359680, cached=2845904896, shared=383741952, slab=326909952)
  8602. 2022-01-18 15:17:05,162:INFO:Physical Core: 16
  8603. 2022-01-18 15:17:05,162:INFO:Logical Core: 32
  8604. 2022-01-18 15:17:05,162:INFO:Checking libraries
  8605. 2022-01-18 15:17:05,162:INFO:pd==1.2.4
  8606. 2022-01-18 15:17:05,162:INFO:numpy==1.19.5
  8607. 2022-01-18 15:17:05,162:INFO:sklearn==0.23.2
  8608. 2022-01-18 15:17:05,163:INFO:lightgbm==3.3.2
  8609. 2022-01-18 15:17:05,163:WARNING:catboost not found
  8610. 2022-01-18 15:17:05,164:WARNING:xgboost not found
  8611. 2022-01-18 15:17:05,164:INFO:mlflow==1.22.0
  8612. 2022-01-18 15:17:05,164:INFO:Checking Exceptions
  8613. 2022-01-18 15:17:05,164:INFO:Declaring global variables
  8614. 2022-01-18 15:17:05,164:INFO:USI: 7a56
  8615. 2022-01-18 15:17:05,165:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  8616. 2022-01-18 15:17:05,165:INFO:Preparing display monitor
  8617. 2022-01-18 15:17:05,165:INFO:Preparing display monitor
  8618. 2022-01-18 15:17:05,176:INFO:Importing libraries
  8619. 2022-01-18 15:17:05,176:INFO:Copying data for preprocessing
  8620. 2022-01-18 15:17:05,184:INFO:Declaring preprocessing parameters
  8621. 2022-01-18 15:17:05,184:WARNING:cuML not found
  8622. 2022-01-18 15:17:05,185:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  8623. 2022-01-18 15:17:05,191:INFO:Creating preprocessing pipeline
  8624. 2022-01-18 15:17:05,235:INFO:Preprocessing pipeline created successfully
  8625. 2022-01-18 15:17:05,236:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  8626. 2022-01-18 15:17:05,236:INFO:Creating global containers
  8627. 2022-01-18 15:17:05,236:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  8628. 2022-01-18 15:17:10,966:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8629. 2022-01-18 15:17:10,996:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8630. 2022-01-18 15:17:10,997:WARNING:Couldn't import cuml.MBSGDClassifier
  8631. 2022-01-18 15:17:10,998:WARNING:Couldn't import cuml.svm.SVC
  8632. 2022-01-18 15:17:11,012:WARNING:Couldn't import cuml.linear_model
  8633. 2022-01-18 15:17:11,016:WARNING:Couldn't import cuml.ensemble
  8634. 2022-01-18 15:17:11,017:WARNING:Couldn't import xgboost.XGBClassifier
  8635. 2022-01-18 15:17:11,021:WARNING:Couldn't import catboost.CatBoostClassifier
  8636. 2022-01-18 15:17:11,022:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  8637. 2022-01-18 15:17:11,053:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  8638. 2022-01-18 15:17:11,054:WARNING:Couldn't import cuml.MBSGDClassifier
  8639. 2022-01-18 15:17:11,055:WARNING:Couldn't import cuml.svm.SVC
  8640. 2022-01-18 15:17:11,069:WARNING:Couldn't import cuml.linear_model
  8641. 2022-01-18 15:17:11,073:WARNING:Couldn't import cuml.ensemble
  8642. 2022-01-18 15:17:11,074:WARNING:Couldn't import xgboost.XGBClassifier
  8643. 2022-01-18 15:17:11,077:WARNING:Couldn't import catboost.CatBoostClassifier
  8644. 2022-01-18 15:17:11,077:INFO:Creating grid variables
  8645. 2022-01-18 15:17:11,091:INFO:create_model_container: 0
  8646. 2022-01-18 15:17:11,091:INFO:master_model_container: 0
  8647. 2022-01-18 15:17:11,091:INFO:display_container: 1
  8648. 2022-01-18 15:17:11,095:INFO:Pipeline(memory=None,
  8649. steps=[('dtypes',
  8650. DataTypes_Auto_infer(categorical_features=[],
  8651. display_types=True, features_todrop=[],
  8652. id_columns=[],
  8653. ml_usecase='classification',
  8654. numerical_features=[], target='label',
  8655. time_features=[])),
  8656. ('imputer',
  8657. Simple_Imputer(categorical_strategy='not_available',
  8658. fill_value_categorical=None,
  8659. fill_value_numerical=None,
  8660. numeric_strate...
  8661. ('fix_perfect', Remove_100(target='label')),
  8662. ('clean_names', Clean_Colum_Names()),
  8663. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  8664. ('dfs',
  8665. DFS_Classic(interactions=['multiply', 'divide'],
  8666. ml_usecase='classification', n_jobs=-1,
  8667. random_state=695, subclass='binary',
  8668. target='label',
  8669. top_features_to_pick_percentage=None)),
  8670. ('pca', 'passthrough')],
  8671. verbose=False)
  8672. 2022-01-18 15:17:11,095:INFO:setup() succesfully completed......................................
  8673. 2022-01-18 15:17:27,163:INFO:Initializing compare_models()
  8674. 2022-01-18 15:17:27,164:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  8675. 2022-01-18 15:17:27,164:INFO:Checking exceptions
  8676. 2022-01-18 15:17:27,165:INFO:Preparing display monitor
  8677. 2022-01-18 15:17:27,165:INFO:Preparing display monitor
  8678. 2022-01-18 15:17:27,181:INFO:Initializing Logistic Regression
  8679. 2022-01-18 15:17:27,181:INFO:Total runtime is 5.185604095458984e-06 minutes
  8680. 2022-01-18 15:17:27,187:INFO:SubProcess create_model() called ==================================
  8681. 2022-01-18 15:17:27,187:INFO:Initializing create_model()
  8682. 2022-01-18 15:17:27,187:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8683. 2022-01-18 15:17:27,188:INFO:Checking exceptions
  8684. 2022-01-18 15:17:27,188:INFO:Importing libraries
  8685. 2022-01-18 15:17:27,188:INFO:Copying training dataset
  8686. 2022-01-18 15:17:27,189:INFO:Defining folds
  8687. 2022-01-18 15:17:27,189:INFO:Declaring metric variables
  8688. 2022-01-18 15:17:27,194:INFO:Importing untrained model
  8689. 2022-01-18 15:17:27,199:INFO:Logistic Regression Imported succesfully
  8690. 2022-01-18 15:17:27,210:INFO:Starting cross validation
  8691. 2022-01-18 15:17:27,211:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8692. 2022-01-18 15:18:04,486:INFO:Calculating mean and std
  8693. 2022-01-18 15:18:04,487:INFO:Creating metrics dataframe
  8694. 2022-01-18 15:18:04,493:INFO:Uploading results into container
  8695. 2022-01-18 15:18:04,493:INFO:Uploading model into container now
  8696. 2022-01-18 15:18:04,493:INFO:create_model_container: 1
  8697. 2022-01-18 15:18:04,494:INFO:master_model_container: 1
  8698. 2022-01-18 15:18:04,494:INFO:display_container: 2
  8699. 2022-01-18 15:18:04,495:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  8700. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  8701. multi_class='auto', n_jobs=None, penalty='l2',
  8702. random_state=695, solver='lbfgs', tol=0.0001, verbose=0,
  8703. warm_start=False)
  8704. 2022-01-18 15:18:04,495:INFO:create_model() succesfully completed......................................
  8705. 2022-01-18 15:18:04,602:INFO:SubProcess create_model() end ==================================
  8706. 2022-01-18 15:18:04,603:INFO:Creating metrics dataframe
  8707. 2022-01-18 15:18:04,612:INFO:Initializing K Neighbors Classifier
  8708. 2022-01-18 15:18:04,612:INFO:Total runtime is 0.6238506356875102 minutes
  8709. 2022-01-18 15:18:04,617:INFO:SubProcess create_model() called ==================================
  8710. 2022-01-18 15:18:04,618:INFO:Initializing create_model()
  8711. 2022-01-18 15:18:04,618:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8712. 2022-01-18 15:18:04,618:INFO:Checking exceptions
  8713. 2022-01-18 15:18:04,618:INFO:Importing libraries
  8714. 2022-01-18 15:18:04,618:INFO:Copying training dataset
  8715. 2022-01-18 15:18:04,620:INFO:Defining folds
  8716. 2022-01-18 15:18:04,620:INFO:Declaring metric variables
  8717. 2022-01-18 15:18:04,625:INFO:Importing untrained model
  8718. 2022-01-18 15:18:04,631:INFO:K Neighbors Classifier Imported succesfully
  8719. 2022-01-18 15:18:04,643:INFO:Starting cross validation
  8720. 2022-01-18 15:18:04,643:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8721. 2022-01-18 15:18:10,604:INFO:Calculating mean and std
  8722. 2022-01-18 15:18:10,605:INFO:Creating metrics dataframe
  8723. 2022-01-18 15:18:10,608:INFO:Uploading results into container
  8724. 2022-01-18 15:18:10,608:INFO:Uploading model into container now
  8725. 2022-01-18 15:18:10,608:INFO:create_model_container: 2
  8726. 2022-01-18 15:18:10,608:INFO:master_model_container: 2
  8727. 2022-01-18 15:18:10,608:INFO:display_container: 2
  8728. 2022-01-18 15:18:10,609:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  8729. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  8730. weights='uniform')
  8731. 2022-01-18 15:18:10,609:INFO:create_model() succesfully completed......................................
  8732. 2022-01-18 15:18:10,687:INFO:SubProcess create_model() end ==================================
  8733. 2022-01-18 15:18:10,687:INFO:Creating metrics dataframe
  8734. 2022-01-18 15:18:10,698:INFO:Initializing Naive Bayes
  8735. 2022-01-18 15:18:10,698:INFO:Total runtime is 0.7252870837847392 minutes
  8736. 2022-01-18 15:18:10,704:INFO:SubProcess create_model() called ==================================
  8737. 2022-01-18 15:18:10,704:INFO:Initializing create_model()
  8738. 2022-01-18 15:18:10,705:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8739. 2022-01-18 15:18:10,705:INFO:Checking exceptions
  8740. 2022-01-18 15:18:10,705:INFO:Importing libraries
  8741. 2022-01-18 15:18:10,705:INFO:Copying training dataset
  8742. 2022-01-18 15:18:10,707:INFO:Defining folds
  8743. 2022-01-18 15:18:10,707:INFO:Declaring metric variables
  8744. 2022-01-18 15:18:10,711:INFO:Importing untrained model
  8745. 2022-01-18 15:18:10,716:INFO:Naive Bayes Imported succesfully
  8746. 2022-01-18 15:18:10,726:INFO:Starting cross validation
  8747. 2022-01-18 15:18:10,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8748. 2022-01-18 15:18:11,054:INFO:Calculating mean and std
  8749. 2022-01-18 15:18:11,055:INFO:Creating metrics dataframe
  8750. 2022-01-18 15:18:11,058:INFO:Uploading results into container
  8751. 2022-01-18 15:18:11,058:INFO:Uploading model into container now
  8752. 2022-01-18 15:18:11,058:INFO:create_model_container: 3
  8753. 2022-01-18 15:18:11,058:INFO:master_model_container: 3
  8754. 2022-01-18 15:18:11,058:INFO:display_container: 2
  8755. 2022-01-18 15:18:11,059:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  8756. 2022-01-18 15:18:11,059:INFO:create_model() succesfully completed......................................
  8757. 2022-01-18 15:18:11,138:INFO:SubProcess create_model() end ==================================
  8758. 2022-01-18 15:18:11,139:INFO:Creating metrics dataframe
  8759. 2022-01-18 15:18:11,149:INFO:Initializing Decision Tree Classifier
  8760. 2022-01-18 15:18:11,149:INFO:Total runtime is 0.7328077356020609 minutes
  8761. 2022-01-18 15:18:11,155:INFO:SubProcess create_model() called ==================================
  8762. 2022-01-18 15:18:11,155:INFO:Initializing create_model()
  8763. 2022-01-18 15:18:11,155:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8764. 2022-01-18 15:18:11,155:INFO:Checking exceptions
  8765. 2022-01-18 15:18:11,155:INFO:Importing libraries
  8766. 2022-01-18 15:18:11,156:INFO:Copying training dataset
  8767. 2022-01-18 15:18:11,157:INFO:Defining folds
  8768. 2022-01-18 15:18:11,157:INFO:Declaring metric variables
  8769. 2022-01-18 15:18:11,162:INFO:Importing untrained model
  8770. 2022-01-18 15:18:11,167:INFO:Decision Tree Classifier Imported succesfully
  8771. 2022-01-18 15:18:11,177:INFO:Starting cross validation
  8772. 2022-01-18 15:18:11,178:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8773. 2022-01-18 15:18:14,351:INFO:Calculating mean and std
  8774. 2022-01-18 15:18:14,352:INFO:Creating metrics dataframe
  8775. 2022-01-18 15:18:14,355:INFO:Uploading results into container
  8776. 2022-01-18 15:18:14,355:INFO:Uploading model into container now
  8777. 2022-01-18 15:18:14,355:INFO:create_model_container: 4
  8778. 2022-01-18 15:18:14,355:INFO:master_model_container: 4
  8779. 2022-01-18 15:18:14,356:INFO:display_container: 2
  8780. 2022-01-18 15:18:14,356:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  8781. max_depth=None, max_features=None, max_leaf_nodes=None,
  8782. min_impurity_decrease=0.0, min_impurity_split=None,
  8783. min_samples_leaf=1, min_samples_split=2,
  8784. min_weight_fraction_leaf=0.0, presort='deprecated',
  8785. random_state=695, splitter='best')
  8786. 2022-01-18 15:18:14,356:INFO:create_model() succesfully completed......................................
  8787. 2022-01-18 15:18:14,429:INFO:SubProcess create_model() end ==================================
  8788. 2022-01-18 15:18:14,430:INFO:Creating metrics dataframe
  8789. 2022-01-18 15:18:14,440:INFO:Initializing SVM - Linear Kernel
  8790. 2022-01-18 15:18:14,441:INFO:Total runtime is 0.7876601576805115 minutes
  8791. 2022-01-18 15:18:14,446:INFO:SubProcess create_model() called ==================================
  8792. 2022-01-18 15:18:14,446:INFO:Initializing create_model()
  8793. 2022-01-18 15:18:14,446:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8794. 2022-01-18 15:18:14,446:INFO:Checking exceptions
  8795. 2022-01-18 15:18:14,447:INFO:Importing libraries
  8796. 2022-01-18 15:18:14,447:INFO:Copying training dataset
  8797. 2022-01-18 15:18:14,448:INFO:Defining folds
  8798. 2022-01-18 15:18:14,448:INFO:Declaring metric variables
  8799. 2022-01-18 15:18:14,454:INFO:Importing untrained model
  8800. 2022-01-18 15:18:14,458:INFO:SVM - Linear Kernel Imported succesfully
  8801. 2022-01-18 15:18:14,469:INFO:Starting cross validation
  8802. 2022-01-18 15:18:14,470:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8803. 2022-01-18 15:18:16,001:INFO:Calculating mean and std
  8804. 2022-01-18 15:18:16,005:INFO:Creating metrics dataframe
  8805. 2022-01-18 15:18:16,010:INFO:Uploading results into container
  8806. 2022-01-18 15:18:16,011:INFO:Uploading model into container now
  8807. 2022-01-18 15:18:16,011:INFO:create_model_container: 5
  8808. 2022-01-18 15:18:16,011:INFO:master_model_container: 5
  8809. 2022-01-18 15:18:16,011:INFO:display_container: 2
  8810. 2022-01-18 15:18:16,012:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  8811. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  8812. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  8813. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  8814. power_t=0.5, random_state=695, shuffle=True, tol=0.001,
  8815. validation_fraction=0.1, verbose=0, warm_start=False)
  8816. 2022-01-18 15:18:16,012:INFO:create_model() succesfully completed......................................
  8817. 2022-01-18 15:18:16,104:INFO:SubProcess create_model() end ==================================
  8818. 2022-01-18 15:18:16,105:INFO:Creating metrics dataframe
  8819. 2022-01-18 15:18:16,115:INFO:Initializing Ridge Classifier
  8820. 2022-01-18 15:18:16,116:INFO:Total runtime is 0.8155773639678955 minutes
  8821. 2022-01-18 15:18:16,121:INFO:SubProcess create_model() called ==================================
  8822. 2022-01-18 15:18:16,121:INFO:Initializing create_model()
  8823. 2022-01-18 15:18:16,121:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8824. 2022-01-18 15:18:16,122:INFO:Checking exceptions
  8825. 2022-01-18 15:18:16,122:INFO:Importing libraries
  8826. 2022-01-18 15:18:16,122:INFO:Copying training dataset
  8827. 2022-01-18 15:18:16,124:INFO:Defining folds
  8828. 2022-01-18 15:18:16,124:INFO:Declaring metric variables
  8829. 2022-01-18 15:18:16,129:INFO:Importing untrained model
  8830. 2022-01-18 15:18:16,135:INFO:Ridge Classifier Imported succesfully
  8831. 2022-01-18 15:18:16,145:INFO:Starting cross validation
  8832. 2022-01-18 15:18:16,145:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8833. 2022-01-18 15:18:17,035:INFO:Calculating mean and std
  8834. 2022-01-18 15:18:17,049:INFO:Creating metrics dataframe
  8835. 2022-01-18 15:18:17,058:INFO:Uploading results into container
  8836. 2022-01-18 15:18:17,058:INFO:Uploading model into container now
  8837. 2022-01-18 15:18:17,059:INFO:create_model_container: 6
  8838. 2022-01-18 15:18:17,059:INFO:master_model_container: 6
  8839. 2022-01-18 15:18:17,059:INFO:display_container: 2
  8840. 2022-01-18 15:18:17,059:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  8841. max_iter=None, normalize=False, random_state=695, solver='auto',
  8842. tol=0.001)
  8843. 2022-01-18 15:18:17,060:INFO:create_model() succesfully completed......................................
  8844. 2022-01-18 15:18:17,143:INFO:SubProcess create_model() end ==================================
  8845. 2022-01-18 15:18:17,144:INFO:Creating metrics dataframe
  8846. 2022-01-18 15:18:17,156:INFO:Initializing Random Forest Classifier
  8847. 2022-01-18 15:18:17,156:INFO:Total runtime is 0.8329163511594136 minutes
  8848. 2022-01-18 15:18:17,161:INFO:SubProcess create_model() called ==================================
  8849. 2022-01-18 15:18:17,162:INFO:Initializing create_model()
  8850. 2022-01-18 15:18:17,162:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8851. 2022-01-18 15:18:17,162:INFO:Checking exceptions
  8852. 2022-01-18 15:18:17,162:INFO:Importing libraries
  8853. 2022-01-18 15:18:17,162:INFO:Copying training dataset
  8854. 2022-01-18 15:18:17,164:INFO:Defining folds
  8855. 2022-01-18 15:18:17,164:INFO:Declaring metric variables
  8856. 2022-01-18 15:18:17,170:INFO:Importing untrained model
  8857. 2022-01-18 15:18:17,174:INFO:Random Forest Classifier Imported succesfully
  8858. 2022-01-18 15:18:17,185:INFO:Starting cross validation
  8859. 2022-01-18 15:18:17,185:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8860. 2022-01-18 15:18:24,439:INFO:Calculating mean and std
  8861. 2022-01-18 15:18:24,440:INFO:Creating metrics dataframe
  8862. 2022-01-18 15:18:24,442:INFO:Uploading results into container
  8863. 2022-01-18 15:18:24,442:INFO:Uploading model into container now
  8864. 2022-01-18 15:18:24,443:INFO:create_model_container: 7
  8865. 2022-01-18 15:18:24,443:INFO:master_model_container: 7
  8866. 2022-01-18 15:18:24,443:INFO:display_container: 2
  8867. 2022-01-18 15:18:24,443:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  8868. criterion='gini', max_depth=None, max_features='auto',
  8869. max_leaf_nodes=None, max_samples=None,
  8870. min_impurity_decrease=0.0, min_impurity_split=None,
  8871. min_samples_leaf=1, min_samples_split=2,
  8872. min_weight_fraction_leaf=0.0, n_estimators=100,
  8873. n_jobs=-1, oob_score=False, random_state=695, verbose=0,
  8874. warm_start=False)
  8875. 2022-01-18 15:18:24,444:INFO:create_model() succesfully completed......................................
  8876. 2022-01-18 15:18:24,529:INFO:SubProcess create_model() end ==================================
  8877. 2022-01-18 15:18:24,529:INFO:Creating metrics dataframe
  8878. 2022-01-18 15:18:24,541:INFO:Initializing Quadratic Discriminant Analysis
  8879. 2022-01-18 15:18:24,541:INFO:Total runtime is 0.95600665807724 minutes
  8880. 2022-01-18 15:18:24,547:INFO:SubProcess create_model() called ==================================
  8881. 2022-01-18 15:18:24,547:INFO:Initializing create_model()
  8882. 2022-01-18 15:18:24,547:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8883. 2022-01-18 15:18:24,547:INFO:Checking exceptions
  8884. 2022-01-18 15:18:24,547:INFO:Importing libraries
  8885. 2022-01-18 15:18:24,548:INFO:Copying training dataset
  8886. 2022-01-18 15:18:24,549:INFO:Defining folds
  8887. 2022-01-18 15:18:24,549:INFO:Declaring metric variables
  8888. 2022-01-18 15:18:24,555:INFO:Importing untrained model
  8889. 2022-01-18 15:18:24,559:INFO:Quadratic Discriminant Analysis Imported succesfully
  8890. 2022-01-18 15:18:24,570:INFO:Starting cross validation
  8891. 2022-01-18 15:18:24,571:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8892. 2022-01-18 15:18:25,969:INFO:Calculating mean and std
  8893. 2022-01-18 15:18:25,970:INFO:Creating metrics dataframe
  8894. 2022-01-18 15:18:25,976:INFO:Uploading results into container
  8895. 2022-01-18 15:18:25,976:INFO:Uploading model into container now
  8896. 2022-01-18 15:18:25,976:INFO:create_model_container: 8
  8897. 2022-01-18 15:18:25,976:INFO:master_model_container: 8
  8898. 2022-01-18 15:18:25,976:INFO:display_container: 2
  8899. 2022-01-18 15:18:25,977:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  8900. store_covariance=False, tol=0.0001)
  8901. 2022-01-18 15:18:25,977:INFO:create_model() succesfully completed......................................
  8902. 2022-01-18 15:18:26,070:INFO:SubProcess create_model() end ==================================
  8903. 2022-01-18 15:18:26,070:INFO:Creating metrics dataframe
  8904. 2022-01-18 15:18:26,083:INFO:Initializing Ada Boost Classifier
  8905. 2022-01-18 15:18:26,083:INFO:Total runtime is 0.9816992163658141 minutes
  8906. 2022-01-18 15:18:26,089:INFO:SubProcess create_model() called ==================================
  8907. 2022-01-18 15:18:26,089:INFO:Initializing create_model()
  8908. 2022-01-18 15:18:26,089:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8909. 2022-01-18 15:18:26,090:INFO:Checking exceptions
  8910. 2022-01-18 15:18:26,090:INFO:Importing libraries
  8911. 2022-01-18 15:18:26,090:INFO:Copying training dataset
  8912. 2022-01-18 15:18:26,091:INFO:Defining folds
  8913. 2022-01-18 15:18:26,092:INFO:Declaring metric variables
  8914. 2022-01-18 15:18:26,096:INFO:Importing untrained model
  8915. 2022-01-18 15:18:26,101:INFO:Ada Boost Classifier Imported succesfully
  8916. 2022-01-18 15:18:26,114:INFO:Starting cross validation
  8917. 2022-01-18 15:18:26,114:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8918. 2022-01-18 15:18:41,878:INFO:Calculating mean and std
  8919. 2022-01-18 15:18:41,879:INFO:Creating metrics dataframe
  8920. 2022-01-18 15:18:41,881:INFO:Uploading results into container
  8921. 2022-01-18 15:18:41,882:INFO:Uploading model into container now
  8922. 2022-01-18 15:18:41,882:INFO:create_model_container: 9
  8923. 2022-01-18 15:18:41,882:INFO:master_model_container: 9
  8924. 2022-01-18 15:18:41,882:INFO:display_container: 2
  8925. 2022-01-18 15:18:41,882:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  8926. n_estimators=50, random_state=695)
  8927. 2022-01-18 15:18:41,883:INFO:create_model() succesfully completed......................................
  8928. 2022-01-18 15:18:41,956:INFO:SubProcess create_model() end ==================================
  8929. 2022-01-18 15:18:41,956:INFO:Creating metrics dataframe
  8930. 2022-01-18 15:18:41,969:INFO:Initializing Gradient Boosting Classifier
  8931. 2022-01-18 15:18:41,969:INFO:Total runtime is 1.2464656352996826 minutes
  8932. 2022-01-18 15:18:41,974:INFO:SubProcess create_model() called ==================================
  8933. 2022-01-18 15:18:41,975:INFO:Initializing create_model()
  8934. 2022-01-18 15:18:41,975:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8935. 2022-01-18 15:18:41,975:INFO:Checking exceptions
  8936. 2022-01-18 15:18:41,975:INFO:Importing libraries
  8937. 2022-01-18 15:18:41,975:INFO:Copying training dataset
  8938. 2022-01-18 15:18:41,977:INFO:Defining folds
  8939. 2022-01-18 15:18:41,977:INFO:Declaring metric variables
  8940. 2022-01-18 15:18:41,981:INFO:Importing untrained model
  8941. 2022-01-18 15:18:41,986:INFO:Gradient Boosting Classifier Imported succesfully
  8942. 2022-01-18 15:18:41,996:INFO:Starting cross validation
  8943. 2022-01-18 15:18:41,997:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8944. 2022-01-18 15:19:49,755:INFO:Calculating mean and std
  8945. 2022-01-18 15:19:49,756:INFO:Creating metrics dataframe
  8946. 2022-01-18 15:19:49,759:INFO:Uploading results into container
  8947. 2022-01-18 15:19:49,759:INFO:Uploading model into container now
  8948. 2022-01-18 15:19:49,759:INFO:create_model_container: 10
  8949. 2022-01-18 15:19:49,759:INFO:master_model_container: 10
  8950. 2022-01-18 15:19:49,759:INFO:display_container: 2
  8951. 2022-01-18 15:19:49,760:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  8952. learning_rate=0.1, loss='deviance', max_depth=3,
  8953. max_features=None, max_leaf_nodes=None,
  8954. min_impurity_decrease=0.0, min_impurity_split=None,
  8955. min_samples_leaf=1, min_samples_split=2,
  8956. min_weight_fraction_leaf=0.0, n_estimators=100,
  8957. n_iter_no_change=None, presort='deprecated',
  8958. random_state=695, subsample=1.0, tol=0.0001,
  8959. validation_fraction=0.1, verbose=0,
  8960. warm_start=False)
  8961. 2022-01-18 15:19:49,760:INFO:create_model() succesfully completed......................................
  8962. 2022-01-18 15:19:49,835:INFO:SubProcess create_model() end ==================================
  8963. 2022-01-18 15:19:49,836:INFO:Creating metrics dataframe
  8964. 2022-01-18 15:19:49,848:INFO:Initializing Linear Discriminant Analysis
  8965. 2022-01-18 15:19:49,848:INFO:Total runtime is 2.377783437569936 minutes
  8966. 2022-01-18 15:19:49,853:INFO:SubProcess create_model() called ==================================
  8967. 2022-01-18 15:19:49,854:INFO:Initializing create_model()
  8968. 2022-01-18 15:19:49,854:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8969. 2022-01-18 15:19:49,854:INFO:Checking exceptions
  8970. 2022-01-18 15:19:49,854:INFO:Importing libraries
  8971. 2022-01-18 15:19:49,854:INFO:Copying training dataset
  8972. 2022-01-18 15:19:49,856:INFO:Defining folds
  8973. 2022-01-18 15:19:49,856:INFO:Declaring metric variables
  8974. 2022-01-18 15:19:49,861:INFO:Importing untrained model
  8975. 2022-01-18 15:19:49,865:INFO:Linear Discriminant Analysis Imported succesfully
  8976. 2022-01-18 15:19:49,876:INFO:Starting cross validation
  8977. 2022-01-18 15:19:49,876:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  8978. 2022-01-18 15:19:52,429:INFO:Calculating mean and std
  8979. 2022-01-18 15:19:52,431:INFO:Creating metrics dataframe
  8980. 2022-01-18 15:19:52,437:INFO:Uploading results into container
  8981. 2022-01-18 15:19:52,437:INFO:Uploading model into container now
  8982. 2022-01-18 15:19:52,437:INFO:create_model_container: 11
  8983. 2022-01-18 15:19:52,439:INFO:master_model_container: 11
  8984. 2022-01-18 15:19:52,439:INFO:display_container: 2
  8985. 2022-01-18 15:19:52,440:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  8986. solver='svd', store_covariance=False, tol=0.0001)
  8987. 2022-01-18 15:19:52,440:INFO:create_model() succesfully completed......................................
  8988. 2022-01-18 15:19:52,532:INFO:SubProcess create_model() end ==================================
  8989. 2022-01-18 15:19:52,532:INFO:Creating metrics dataframe
  8990. 2022-01-18 15:19:52,546:INFO:Initializing Extra Trees Classifier
  8991. 2022-01-18 15:19:52,546:INFO:Total runtime is 2.422754371166229 minutes
  8992. 2022-01-18 15:19:52,552:INFO:SubProcess create_model() called ==================================
  8993. 2022-01-18 15:19:52,552:INFO:Initializing create_model()
  8994. 2022-01-18 15:19:52,552:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  8995. 2022-01-18 15:19:52,553:INFO:Checking exceptions
  8996. 2022-01-18 15:19:52,553:INFO:Importing libraries
  8997. 2022-01-18 15:19:52,553:INFO:Copying training dataset
  8998. 2022-01-18 15:19:52,554:INFO:Defining folds
  8999. 2022-01-18 15:19:52,555:INFO:Declaring metric variables
  9000. 2022-01-18 15:19:52,560:INFO:Importing untrained model
  9001. 2022-01-18 15:19:52,564:INFO:Extra Trees Classifier Imported succesfully
  9002. 2022-01-18 15:19:52,574:INFO:Starting cross validation
  9003. 2022-01-18 15:19:52,575:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9004. 2022-01-18 15:19:59,467:INFO:Calculating mean and std
  9005. 2022-01-18 15:19:59,468:INFO:Creating metrics dataframe
  9006. 2022-01-18 15:19:59,471:INFO:Uploading results into container
  9007. 2022-01-18 15:19:59,471:INFO:Uploading model into container now
  9008. 2022-01-18 15:19:59,471:INFO:create_model_container: 12
  9009. 2022-01-18 15:19:59,471:INFO:master_model_container: 12
  9010. 2022-01-18 15:19:59,472:INFO:display_container: 2
  9011. 2022-01-18 15:19:59,472:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  9012. criterion='gini', max_depth=None, max_features='auto',
  9013. max_leaf_nodes=None, max_samples=None,
  9014. min_impurity_decrease=0.0, min_impurity_split=None,
  9015. min_samples_leaf=1, min_samples_split=2,
  9016. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  9017. oob_score=False, random_state=695, verbose=0,
  9018. warm_start=False)
  9019. 2022-01-18 15:19:59,472:INFO:create_model() succesfully completed......................................
  9020. 2022-01-18 15:19:59,552:INFO:SubProcess create_model() end ==================================
  9021. 2022-01-18 15:19:59,552:INFO:Creating metrics dataframe
  9022. 2022-01-18 15:19:59,565:INFO:Initializing Light Gradient Boosting Machine
  9023. 2022-01-18 15:19:59,566:INFO:Total runtime is 2.5397435386975604 minutes
  9024. 2022-01-18 15:19:59,571:INFO:SubProcess create_model() called ==================================
  9025. 2022-01-18 15:19:59,571:INFO:Initializing create_model()
  9026. 2022-01-18 15:19:59,571:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  9027. 2022-01-18 15:19:59,571:INFO:Checking exceptions
  9028. 2022-01-18 15:19:59,572:INFO:Importing libraries
  9029. 2022-01-18 15:19:59,572:INFO:Copying training dataset
  9030. 2022-01-18 15:19:59,574:INFO:Defining folds
  9031. 2022-01-18 15:19:59,574:INFO:Declaring metric variables
  9032. 2022-01-18 15:19:59,579:INFO:Importing untrained model
  9033. 2022-01-18 15:19:59,584:INFO:Light Gradient Boosting Machine Imported succesfully
  9034. 2022-01-18 15:19:59,596:INFO:Starting cross validation
  9035. 2022-01-18 15:19:59,597:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9036. 2022-01-18 15:20:04,722:INFO:Calculating mean and std
  9037. 2022-01-18 15:20:04,723:INFO:Creating metrics dataframe
  9038. 2022-01-18 15:20:04,726:INFO:Uploading results into container
  9039. 2022-01-18 15:20:04,726:INFO:Uploading model into container now
  9040. 2022-01-18 15:20:04,726:INFO:create_model_container: 13
  9041. 2022-01-18 15:20:04,726:INFO:master_model_container: 13
  9042. 2022-01-18 15:20:04,726:INFO:display_container: 2
  9043. 2022-01-18 15:20:04,727:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  9044. importance_type='split', learning_rate=0.1, max_depth=-1,
  9045. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  9046. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  9047. random_state=695, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  9048. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  9049. 2022-01-18 15:20:04,727:INFO:create_model() succesfully completed......................................
  9050. 2022-01-18 15:20:04,794:INFO:SubProcess create_model() end ==================================
  9051. 2022-01-18 15:20:04,795:INFO:Creating metrics dataframe
  9052. 2022-01-18 15:20:04,808:INFO:Initializing Dummy Classifier
  9053. 2022-01-18 15:20:04,808:INFO:Total runtime is 2.627113389968872 minutes
  9054. 2022-01-18 15:20:04,813:INFO:SubProcess create_model() called ==================================
  9055. 2022-01-18 15:20:04,813:INFO:Initializing create_model()
  9056. 2022-01-18 15:20:04,813:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cadb20>, kwargs={})
  9057. 2022-01-18 15:20:04,814:INFO:Checking exceptions
  9058. 2022-01-18 15:20:04,814:INFO:Importing libraries
  9059. 2022-01-18 15:20:04,814:INFO:Copying training dataset
  9060. 2022-01-18 15:20:04,816:INFO:Defining folds
  9061. 2022-01-18 15:20:04,816:INFO:Declaring metric variables
  9062. 2022-01-18 15:20:04,821:INFO:Importing untrained model
  9063. 2022-01-18 15:20:04,826:INFO:Dummy Classifier Imported succesfully
  9064. 2022-01-18 15:20:04,836:INFO:Starting cross validation
  9065. 2022-01-18 15:20:04,837:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9066. 2022-01-18 15:20:04,957:INFO:Calculating mean and std
  9067. 2022-01-18 15:20:04,958:INFO:Creating metrics dataframe
  9068. 2022-01-18 15:20:04,960:INFO:Uploading results into container
  9069. 2022-01-18 15:20:04,961:INFO:Uploading model into container now
  9070. 2022-01-18 15:20:04,961:INFO:create_model_container: 14
  9071. 2022-01-18 15:20:04,961:INFO:master_model_container: 14
  9072. 2022-01-18 15:20:04,961:INFO:display_container: 2
  9073. 2022-01-18 15:20:04,961:INFO:DummyClassifier(constant=None, random_state=695, strategy='prior')
  9074. 2022-01-18 15:20:04,961:INFO:create_model() succesfully completed......................................
  9075. 2022-01-18 15:20:05,030:INFO:SubProcess create_model() end ==================================
  9076. 2022-01-18 15:20:05,030:INFO:Creating metrics dataframe
  9077. 2022-01-18 15:20:05,056:INFO:Initializing create_model()
  9078. 2022-01-18 15:20:05,056:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9079. criterion='gini', max_depth=None, max_features='auto',
  9080. max_leaf_nodes=None, max_samples=None,
  9081. min_impurity_decrease=0.0, min_impurity_split=None,
  9082. min_samples_leaf=1, min_samples_split=2,
  9083. min_weight_fraction_leaf=0.0, n_estimators=100,
  9084. n_jobs=-1, oob_score=False, random_state=695, verbose=0,
  9085. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  9086. 2022-01-18 15:20:05,056:INFO:Checking exceptions
  9087. 2022-01-18 15:20:05,056:INFO:Importing libraries
  9088. 2022-01-18 15:20:05,057:INFO:Copying training dataset
  9089. 2022-01-18 15:20:05,058:INFO:Defining folds
  9090. 2022-01-18 15:20:05,058:INFO:Declaring metric variables
  9091. 2022-01-18 15:20:05,058:INFO:Importing untrained model
  9092. 2022-01-18 15:20:05,058:INFO:Declaring custom model
  9093. 2022-01-18 15:20:05,059:INFO:Random Forest Classifier Imported succesfully
  9094. 2022-01-18 15:20:05,059:INFO:Cross validation set to False
  9095. 2022-01-18 15:20:05,060:INFO:Fitting Model
  9096. 2022-01-18 15:20:05,482:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9097. criterion='gini', max_depth=None, max_features='auto',
  9098. max_leaf_nodes=None, max_samples=None,
  9099. min_impurity_decrease=0.0, min_impurity_split=None,
  9100. min_samples_leaf=1, min_samples_split=2,
  9101. min_weight_fraction_leaf=0.0, n_estimators=100,
  9102. n_jobs=-1, oob_score=False, random_state=695, verbose=0,
  9103. warm_start=False)
  9104. 2022-01-18 15:20:05,483:INFO:create_models() succesfully completed......................................
  9105. 2022-01-18 15:20:05,583:INFO:create_model_container: 14
  9106. 2022-01-18 15:20:05,583:INFO:master_model_container: 14
  9107. 2022-01-18 15:20:05,583:INFO:display_container: 2
  9108. 2022-01-18 15:20:05,584:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9109. criterion='gini', max_depth=None, max_features='auto',
  9110. max_leaf_nodes=None, max_samples=None,
  9111. min_impurity_decrease=0.0, min_impurity_split=None,
  9112. min_samples_leaf=1, min_samples_split=2,
  9113. min_weight_fraction_leaf=0.0, n_estimators=100,
  9114. n_jobs=-1, oob_score=False, random_state=695, verbose=0,
  9115. warm_start=False)
  9116. 2022-01-18 15:20:05,584:INFO:compare_models() succesfully completed......................................
  9117. 2022-01-18 15:21:50,815:INFO:PyCaret Supervised Module
  9118. 2022-01-18 15:21:50,816:INFO:ML Usecase: classification
  9119. 2022-01-18 15:21:50,816:INFO:version 2.3.6
  9120. 2022-01-18 15:21:50,816:INFO:Initializing setup()
  9121. 2022-01-18 15:21:50,816:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['illum', 'dayofweek'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9122. 2022-01-18 15:21:50,816:INFO:Checking environment
  9123. 2022-01-18 15:21:50,817:INFO:python_version: 3.8.8
  9124. 2022-01-18 15:21:50,817:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9125. 2022-01-18 15:21:50,817:INFO:machine: x86_64
  9126. 2022-01-18 15:21:50,817:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9127. 2022-01-18 15:21:50,817:INFO:Memory: svmem(total=33619935232, available=20104994816, percent=40.2, used=12664442880, free=17430978560, active=1296986112, inactive=14214119424, buffers=684834816, cached=2839678976, shared=383741952, slab=327352320)
  9128. 2022-01-18 15:21:50,818:INFO:Physical Core: 16
  9129. 2022-01-18 15:21:50,818:INFO:Logical Core: 32
  9130. 2022-01-18 15:21:50,818:INFO:Checking libraries
  9131. 2022-01-18 15:21:50,818:INFO:pd==1.2.4
  9132. 2022-01-18 15:21:50,819:INFO:numpy==1.19.5
  9133. 2022-01-18 15:21:50,819:INFO:sklearn==0.23.2
  9134. 2022-01-18 15:21:50,819:INFO:lightgbm==3.3.2
  9135. 2022-01-18 15:21:50,820:WARNING:catboost not found
  9136. 2022-01-18 15:21:50,820:WARNING:xgboost not found
  9137. 2022-01-18 15:21:50,820:INFO:mlflow==1.22.0
  9138. 2022-01-18 15:21:50,821:INFO:Checking Exceptions
  9139. 2022-01-18 15:21:50,821:INFO:Declaring global variables
  9140. 2022-01-18 15:21:50,821:INFO:USI: 3dbb
  9141. 2022-01-18 15:21:50,821:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9142. 2022-01-18 15:21:50,821:INFO:Preparing display monitor
  9143. 2022-01-18 15:21:50,821:INFO:Preparing display monitor
  9144. 2022-01-18 15:21:50,828:INFO:Importing libraries
  9145. 2022-01-18 15:21:50,829:INFO:Copying data for preprocessing
  9146. 2022-01-18 15:21:50,834:INFO:Declaring preprocessing parameters
  9147. 2022-01-18 15:21:50,835:WARNING:cuML not found
  9148. 2022-01-18 15:21:50,835:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9149. 2022-01-18 15:21:50,838:INFO:Creating preprocessing pipeline
  9150. 2022-01-18 15:21:50,867:INFO:Preprocessing pipeline created successfully
  9151. 2022-01-18 15:21:50,867:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9152. 2022-01-18 15:21:50,867:INFO:Creating global containers
  9153. 2022-01-18 15:21:50,867:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9154. 2022-01-18 15:22:17,940:INFO:PyCaret Supervised Module
  9155. 2022-01-18 15:22:17,940:INFO:ML Usecase: classification
  9156. 2022-01-18 15:22:17,940:INFO:version 2.3.6
  9157. 2022-01-18 15:22:17,941:INFO:Initializing setup()
  9158. 2022-01-18 15:22:17,941:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['illum', 'dayofweek'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9159. 2022-01-18 15:22:17,941:INFO:Checking environment
  9160. 2022-01-18 15:22:17,941:INFO:python_version: 3.8.8
  9161. 2022-01-18 15:22:17,942:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9162. 2022-01-18 15:22:17,942:INFO:machine: x86_64
  9163. 2022-01-18 15:22:17,942:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9164. 2022-01-18 15:22:17,942:INFO:Memory: svmem(total=33619935232, available=20153151488, percent=40.1, used=12616368128, free=17479147520, active=1297051648, inactive=14163095552, buffers=684883968, cached=2839535616, shared=383741952, slab=327176192)
  9165. 2022-01-18 15:22:17,943:INFO:Physical Core: 16
  9166. 2022-01-18 15:22:17,943:INFO:Logical Core: 32
  9167. 2022-01-18 15:22:17,943:INFO:Checking libraries
  9168. 2022-01-18 15:22:17,943:INFO:pd==1.2.4
  9169. 2022-01-18 15:22:17,943:INFO:numpy==1.19.5
  9170. 2022-01-18 15:22:17,944:INFO:sklearn==0.23.2
  9171. 2022-01-18 15:22:17,944:INFO:lightgbm==3.3.2
  9172. 2022-01-18 15:22:17,944:WARNING:catboost not found
  9173. 2022-01-18 15:22:17,945:WARNING:xgboost not found
  9174. 2022-01-18 15:22:17,945:INFO:mlflow==1.22.0
  9175. 2022-01-18 15:22:17,945:INFO:Checking Exceptions
  9176. 2022-01-18 15:22:17,945:INFO:Declaring global variables
  9177. 2022-01-18 15:22:17,945:INFO:USI: 32fb
  9178. 2022-01-18 15:22:17,946:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9179. 2022-01-18 15:22:17,946:INFO:Preparing display monitor
  9180. 2022-01-18 15:22:17,946:INFO:Preparing display monitor
  9181. 2022-01-18 15:22:17,955:INFO:Importing libraries
  9182. 2022-01-18 15:22:17,956:INFO:Copying data for preprocessing
  9183. 2022-01-18 15:22:17,962:INFO:Declaring preprocessing parameters
  9184. 2022-01-18 15:22:17,963:WARNING:cuML not found
  9185. 2022-01-18 15:22:17,963:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9186. 2022-01-18 15:22:17,967:INFO:Creating preprocessing pipeline
  9187. 2022-01-18 15:22:18,001:INFO:Preprocessing pipeline created successfully
  9188. 2022-01-18 15:22:18,002:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9189. 2022-01-18 15:22:18,002:INFO:Creating global containers
  9190. 2022-01-18 15:22:18,003:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9191. 2022-01-18 15:22:43,448:INFO:PyCaret Supervised Module
  9192. 2022-01-18 15:22:43,448:INFO:ML Usecase: classification
  9193. 2022-01-18 15:22:43,449:INFO:version 2.3.6
  9194. 2022-01-18 15:22:43,449:INFO:Initializing setup()
  9195. 2022-01-18 15:22:43,449:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['dayofweek'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9196. 2022-01-18 15:22:43,449:INFO:Checking environment
  9197. 2022-01-18 15:22:43,449:INFO:python_version: 3.8.8
  9198. 2022-01-18 15:22:43,449:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9199. 2022-01-18 15:22:43,449:INFO:machine: x86_64
  9200. 2022-01-18 15:22:43,450:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9201. 2022-01-18 15:22:43,450:INFO:Memory: svmem(total=33619935232, available=20304928768, percent=39.6, used=12464582656, free=17630846976, active=1297108992, inactive=14016237568, buffers=684933120, cached=2839572480, shared=383741952, slab=327213056)
  9202. 2022-01-18 15:22:43,451:INFO:Physical Core: 16
  9203. 2022-01-18 15:22:43,451:INFO:Logical Core: 32
  9204. 2022-01-18 15:22:43,451:INFO:Checking libraries
  9205. 2022-01-18 15:22:43,451:INFO:pd==1.2.4
  9206. 2022-01-18 15:22:43,451:INFO:numpy==1.19.5
  9207. 2022-01-18 15:22:43,451:INFO:sklearn==0.23.2
  9208. 2022-01-18 15:22:43,451:INFO:lightgbm==3.3.2
  9209. 2022-01-18 15:22:43,452:WARNING:catboost not found
  9210. 2022-01-18 15:22:43,452:WARNING:xgboost not found
  9211. 2022-01-18 15:22:43,452:INFO:mlflow==1.22.0
  9212. 2022-01-18 15:22:43,453:INFO:Checking Exceptions
  9213. 2022-01-18 15:22:43,453:INFO:Declaring global variables
  9214. 2022-01-18 15:22:43,453:INFO:USI: 3074
  9215. 2022-01-18 15:22:43,453:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9216. 2022-01-18 15:22:43,453:INFO:Preparing display monitor
  9217. 2022-01-18 15:22:43,454:INFO:Preparing display monitor
  9218. 2022-01-18 15:22:43,461:INFO:Importing libraries
  9219. 2022-01-18 15:22:43,462:INFO:Copying data for preprocessing
  9220. 2022-01-18 15:22:43,468:INFO:Declaring preprocessing parameters
  9221. 2022-01-18 15:22:43,469:WARNING:cuML not found
  9222. 2022-01-18 15:22:43,469:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9223. 2022-01-18 15:22:43,472:INFO:Creating preprocessing pipeline
  9224. 2022-01-18 15:22:43,501:INFO:Preprocessing pipeline created successfully
  9225. 2022-01-18 15:22:43,501:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9226. 2022-01-18 15:22:43,502:INFO:Creating global containers
  9227. 2022-01-18 15:22:43,502:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9228. 2022-01-18 15:23:03,219:INFO:PyCaret Supervised Module
  9229. 2022-01-18 15:23:03,219:INFO:ML Usecase: classification
  9230. 2022-01-18 15:23:03,219:INFO:version 2.3.6
  9231. 2022-01-18 15:23:03,220:INFO:Initializing setup()
  9232. 2022-01-18 15:23:03,220:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['illum'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9233. 2022-01-18 15:23:03,220:INFO:Checking environment
  9234. 2022-01-18 15:23:03,220:INFO:python_version: 3.8.8
  9235. 2022-01-18 15:23:03,220:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9236. 2022-01-18 15:23:03,220:INFO:machine: x86_64
  9237. 2022-01-18 15:23:03,221:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9238. 2022-01-18 15:23:03,221:INFO:Memory: svmem(total=33619935232, available=20266770432, percent=39.7, used=12502732800, free=17592672256, active=1297125376, inactive=14055038976, buffers=684965888, cached=2839564288, shared=383741952, slab=327200768)
  9239. 2022-01-18 15:23:03,221:INFO:Physical Core: 16
  9240. 2022-01-18 15:23:03,222:INFO:Logical Core: 32
  9241. 2022-01-18 15:23:03,222:INFO:Checking libraries
  9242. 2022-01-18 15:23:03,222:INFO:pd==1.2.4
  9243. 2022-01-18 15:23:03,222:INFO:numpy==1.19.5
  9244. 2022-01-18 15:23:03,222:INFO:sklearn==0.23.2
  9245. 2022-01-18 15:23:03,222:INFO:lightgbm==3.3.2
  9246. 2022-01-18 15:23:03,223:WARNING:catboost not found
  9247. 2022-01-18 15:23:03,224:WARNING:xgboost not found
  9248. 2022-01-18 15:23:03,224:INFO:mlflow==1.22.0
  9249. 2022-01-18 15:23:03,224:INFO:Checking Exceptions
  9250. 2022-01-18 15:23:03,224:INFO:Declaring global variables
  9251. 2022-01-18 15:23:03,224:INFO:USI: 7d33
  9252. 2022-01-18 15:23:03,224:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9253. 2022-01-18 15:23:03,225:INFO:Preparing display monitor
  9254. 2022-01-18 15:23:03,225:INFO:Preparing display monitor
  9255. 2022-01-18 15:23:03,234:INFO:Importing libraries
  9256. 2022-01-18 15:23:03,235:INFO:Copying data for preprocessing
  9257. 2022-01-18 15:23:03,241:INFO:Declaring preprocessing parameters
  9258. 2022-01-18 15:23:03,241:WARNING:cuML not found
  9259. 2022-01-18 15:23:03,241:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9260. 2022-01-18 15:23:03,244:INFO:Creating preprocessing pipeline
  9261. 2022-01-18 15:23:03,273:INFO:Preprocessing pipeline created successfully
  9262. 2022-01-18 15:23:03,273:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9263. 2022-01-18 15:23:03,273:INFO:Creating global containers
  9264. 2022-01-18 15:23:03,273:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9265. 2022-01-18 15:23:11,088:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9266. 2022-01-18 15:23:11,116:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9267. 2022-01-18 15:23:11,117:WARNING:Couldn't import cuml.MBSGDClassifier
  9268. 2022-01-18 15:23:11,118:WARNING:Couldn't import cuml.svm.SVC
  9269. 2022-01-18 15:23:11,132:WARNING:Couldn't import cuml.linear_model
  9270. 2022-01-18 15:23:11,135:WARNING:Couldn't import cuml.ensemble
  9271. 2022-01-18 15:23:11,136:WARNING:Couldn't import xgboost.XGBClassifier
  9272. 2022-01-18 15:23:11,139:WARNING:Couldn't import catboost.CatBoostClassifier
  9273. 2022-01-18 15:23:11,140:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9274. 2022-01-18 15:23:11,171:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9275. 2022-01-18 15:23:11,172:WARNING:Couldn't import cuml.MBSGDClassifier
  9276. 2022-01-18 15:23:11,173:WARNING:Couldn't import cuml.svm.SVC
  9277. 2022-01-18 15:23:11,187:WARNING:Couldn't import cuml.linear_model
  9278. 2022-01-18 15:23:11,190:WARNING:Couldn't import cuml.ensemble
  9279. 2022-01-18 15:23:11,191:WARNING:Couldn't import xgboost.XGBClassifier
  9280. 2022-01-18 15:23:11,194:WARNING:Couldn't import catboost.CatBoostClassifier
  9281. 2022-01-18 15:23:11,195:INFO:Creating grid variables
  9282. 2022-01-18 15:23:11,208:INFO:create_model_container: 0
  9283. 2022-01-18 15:23:11,208:INFO:master_model_container: 0
  9284. 2022-01-18 15:23:11,208:INFO:display_container: 1
  9285. 2022-01-18 15:23:11,212:INFO:Pipeline(memory=None,
  9286. steps=[('dtypes',
  9287. DataTypes_Auto_infer(categorical_features=[],
  9288. display_types=True, features_todrop=[],
  9289. id_columns=[],
  9290. ml_usecase='classification',
  9291. numerical_features=[], target='label',
  9292. time_features=[])),
  9293. ('imputer',
  9294. Simple_Imputer(categorical_strategy='not_available',
  9295. fill_value_categorical=None,
  9296. fill_value_numerical=None,
  9297. numeric_strate...
  9298. ('fix_perfect', Remove_100(target='label')),
  9299. ('clean_names', Clean_Colum_Names()),
  9300. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  9301. ('dfs',
  9302. DFS_Classic(interactions=['multiply', 'divide'],
  9303. ml_usecase='classification', n_jobs=-1,
  9304. random_state=1797, subclass='binary',
  9305. target='label',
  9306. top_features_to_pick_percentage=None)),
  9307. ('pca', 'passthrough')],
  9308. verbose=False)
  9309. 2022-01-18 15:23:11,212:INFO:setup() succesfully completed......................................
  9310. 2022-01-18 15:27:40,371:INFO:PyCaret Supervised Module
  9311. 2022-01-18 15:27:40,371:INFO:ML Usecase: classification
  9312. 2022-01-18 15:27:40,371:INFO:version 2.3.6
  9313. 2022-01-18 15:27:40,372:INFO:Initializing setup()
  9314. 2022-01-18 15:27:40,372:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=['illum'], remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=True, feature_ratio=True, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9315. 2022-01-18 15:27:40,372:INFO:Checking environment
  9316. 2022-01-18 15:27:40,372:INFO:python_version: 3.8.8
  9317. 2022-01-18 15:27:40,372:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9318. 2022-01-18 15:27:40,373:INFO:machine: x86_64
  9319. 2022-01-18 15:27:40,373:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9320. 2022-01-18 15:27:40,373:INFO:Memory: svmem(total=33619935232, available=27902365696, percent=17.0, used=4868083712, free=25228607488, active=1297395712, inactive=6469472256, buffers=685457408, cached=2837786624, shared=383610880, slab=314028032)
  9321. 2022-01-18 15:27:40,374:INFO:Physical Core: 16
  9322. 2022-01-18 15:27:40,374:INFO:Logical Core: 32
  9323. 2022-01-18 15:27:40,374:INFO:Checking libraries
  9324. 2022-01-18 15:27:40,374:INFO:pd==1.2.4
  9325. 2022-01-18 15:27:40,374:INFO:numpy==1.19.5
  9326. 2022-01-18 15:27:40,374:INFO:sklearn==0.23.2
  9327. 2022-01-18 15:27:40,375:INFO:lightgbm==3.3.2
  9328. 2022-01-18 15:27:40,375:WARNING:catboost not found
  9329. 2022-01-18 15:27:40,376:WARNING:xgboost not found
  9330. 2022-01-18 15:27:40,376:INFO:mlflow==1.22.0
  9331. 2022-01-18 15:27:40,376:INFO:Checking Exceptions
  9332. 2022-01-18 15:27:40,376:INFO:Declaring global variables
  9333. 2022-01-18 15:27:40,376:INFO:USI: aef0
  9334. 2022-01-18 15:27:40,377:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9335. 2022-01-18 15:27:40,377:INFO:Preparing display monitor
  9336. 2022-01-18 15:27:40,377:INFO:Preparing display monitor
  9337. 2022-01-18 15:27:40,385:INFO:Importing libraries
  9338. 2022-01-18 15:27:40,385:INFO:Copying data for preprocessing
  9339. 2022-01-18 15:27:40,392:INFO:Declaring preprocessing parameters
  9340. 2022-01-18 15:27:40,393:WARNING:cuML not found
  9341. 2022-01-18 15:27:40,393:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9342. 2022-01-18 15:27:40,396:INFO:Creating preprocessing pipeline
  9343. 2022-01-18 15:27:40,428:INFO:Preprocessing pipeline created successfully
  9344. 2022-01-18 15:27:40,428:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9345. 2022-01-18 15:27:40,428:INFO:Creating global containers
  9346. 2022-01-18 15:27:40,429:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9347. 2022-01-18 15:30:12,715:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9348. 2022-01-18 15:30:12,743:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9349. 2022-01-18 15:30:12,743:WARNING:Couldn't import cuml.MBSGDClassifier
  9350. 2022-01-18 15:30:12,744:WARNING:Couldn't import cuml.svm.SVC
  9351. 2022-01-18 15:30:12,759:WARNING:Couldn't import cuml.linear_model
  9352. 2022-01-18 15:30:12,762:WARNING:Couldn't import cuml.ensemble
  9353. 2022-01-18 15:30:12,763:WARNING:Couldn't import xgboost.XGBClassifier
  9354. 2022-01-18 15:30:12,766:WARNING:Couldn't import catboost.CatBoostClassifier
  9355. 2022-01-18 15:30:12,766:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9356. 2022-01-18 15:30:12,797:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9357. 2022-01-18 15:30:12,797:WARNING:Couldn't import cuml.MBSGDClassifier
  9358. 2022-01-18 15:30:12,798:WARNING:Couldn't import cuml.svm.SVC
  9359. 2022-01-18 15:30:12,812:WARNING:Couldn't import cuml.linear_model
  9360. 2022-01-18 15:30:12,815:WARNING:Couldn't import cuml.ensemble
  9361. 2022-01-18 15:30:12,817:WARNING:Couldn't import xgboost.XGBClassifier
  9362. 2022-01-18 15:30:12,821:WARNING:Couldn't import catboost.CatBoostClassifier
  9363. 2022-01-18 15:30:12,821:INFO:Creating grid variables
  9364. 2022-01-18 15:30:12,834:INFO:create_model_container: 0
  9365. 2022-01-18 15:30:12,834:INFO:master_model_container: 0
  9366. 2022-01-18 15:30:12,834:INFO:display_container: 1
  9367. 2022-01-18 15:30:12,838:INFO:Pipeline(memory=None,
  9368. steps=[('dtypes',
  9369. DataTypes_Auto_infer(categorical_features=[],
  9370. display_types=True, features_todrop=[],
  9371. id_columns=[],
  9372. ml_usecase='classification',
  9373. numerical_features=[], target='label',
  9374. time_features=[])),
  9375. ('imputer',
  9376. Simple_Imputer(categorical_strategy='not_available',
  9377. fill_value_categorical=None,
  9378. fill_value_numerical=None,
  9379. numeric_strate...
  9380. ('fix_perfect', Remove_100(target='label')),
  9381. ('clean_names', Clean_Colum_Names()),
  9382. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  9383. ('dfs',
  9384. DFS_Classic(interactions=['multiply', 'divide'],
  9385. ml_usecase='classification', n_jobs=-1,
  9386. random_state=2651, subclass='binary',
  9387. target='label',
  9388. top_features_to_pick_percentage=None)),
  9389. ('pca', 'passthrough')],
  9390. verbose=False)
  9391. 2022-01-18 15:30:12,838:INFO:setup() succesfully completed......................................
  9392. 2022-01-18 15:31:50,249:INFO:PyCaret Supervised Module
  9393. 2022-01-18 15:31:50,249:INFO:ML Usecase: classification
  9394. 2022-01-18 15:31:50,249:INFO:version 2.3.6
  9395. 2022-01-18 15:31:50,249:INFO:Initializing setup()
  9396. 2022-01-18 15:31:50,250:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9397. 2022-01-18 15:31:50,250:INFO:Checking environment
  9398. 2022-01-18 15:31:50,250:INFO:python_version: 3.8.8
  9399. 2022-01-18 15:31:50,250:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9400. 2022-01-18 15:31:50,250:INFO:machine: x86_64
  9401. 2022-01-18 15:31:50,250:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9402. 2022-01-18 15:31:50,251:INFO:Memory: svmem(total=33619935232, available=27551952896, percent=18.0, used=5218504704, free=24876834816, active=1298132992, inactive=6822612992, buffers=686075904, cached=2838519808, shared=383610880, slab=313921536)
  9403. 2022-01-18 15:31:50,251:INFO:Physical Core: 16
  9404. 2022-01-18 15:31:50,251:INFO:Logical Core: 32
  9405. 2022-01-18 15:31:50,251:INFO:Checking libraries
  9406. 2022-01-18 15:31:50,252:INFO:pd==1.2.4
  9407. 2022-01-18 15:31:50,252:INFO:numpy==1.19.5
  9408. 2022-01-18 15:31:50,252:INFO:sklearn==0.23.2
  9409. 2022-01-18 15:31:50,252:INFO:lightgbm==3.3.2
  9410. 2022-01-18 15:31:50,253:WARNING:catboost not found
  9411. 2022-01-18 15:31:50,253:WARNING:xgboost not found
  9412. 2022-01-18 15:31:50,253:INFO:mlflow==1.22.0
  9413. 2022-01-18 15:31:50,253:INFO:Checking Exceptions
  9414. 2022-01-18 15:31:50,254:INFO:Declaring global variables
  9415. 2022-01-18 15:31:50,254:INFO:USI: 8799
  9416. 2022-01-18 15:31:50,254:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9417. 2022-01-18 15:31:50,254:INFO:Preparing display monitor
  9418. 2022-01-18 15:31:50,254:INFO:Preparing display monitor
  9419. 2022-01-18 15:31:50,261:INFO:Importing libraries
  9420. 2022-01-18 15:31:50,262:INFO:Copying data for preprocessing
  9421. 2022-01-18 15:31:50,268:INFO:Declaring preprocessing parameters
  9422. 2022-01-18 15:31:50,269:WARNING:cuML not found
  9423. 2022-01-18 15:31:50,269:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9424. 2022-01-18 15:31:50,272:INFO:Creating preprocessing pipeline
  9425. 2022-01-18 15:31:50,301:INFO:Preprocessing pipeline created successfully
  9426. 2022-01-18 15:31:50,301:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9427. 2022-01-18 15:31:50,301:INFO:Creating global containers
  9428. 2022-01-18 15:31:50,302:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9429. 2022-01-18 15:31:52,904:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9430. 2022-01-18 15:31:52,935:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9431. 2022-01-18 15:31:52,935:WARNING:Couldn't import cuml.MBSGDClassifier
  9432. 2022-01-18 15:31:52,936:WARNING:Couldn't import cuml.svm.SVC
  9433. 2022-01-18 15:31:52,951:WARNING:Couldn't import cuml.linear_model
  9434. 2022-01-18 15:31:52,955:WARNING:Couldn't import cuml.ensemble
  9435. 2022-01-18 15:31:52,956:WARNING:Couldn't import xgboost.XGBClassifier
  9436. 2022-01-18 15:31:52,991:WARNING:Couldn't import catboost.CatBoostClassifier
  9437. 2022-01-18 15:31:52,992:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9438. 2022-01-18 15:31:53,022:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9439. 2022-01-18 15:31:53,023:WARNING:Couldn't import cuml.MBSGDClassifier
  9440. 2022-01-18 15:31:53,024:WARNING:Couldn't import cuml.svm.SVC
  9441. 2022-01-18 15:31:53,039:WARNING:Couldn't import cuml.linear_model
  9442. 2022-01-18 15:31:53,043:WARNING:Couldn't import cuml.ensemble
  9443. 2022-01-18 15:31:53,044:WARNING:Couldn't import xgboost.XGBClassifier
  9444. 2022-01-18 15:31:53,048:WARNING:Couldn't import catboost.CatBoostClassifier
  9445. 2022-01-18 15:31:53,048:INFO:Creating grid variables
  9446. 2022-01-18 15:31:53,062:INFO:create_model_container: 0
  9447. 2022-01-18 15:31:53,063:INFO:master_model_container: 0
  9448. 2022-01-18 15:31:53,063:INFO:display_container: 1
  9449. 2022-01-18 15:31:53,066:INFO:Pipeline(memory=None,
  9450. steps=[('dtypes',
  9451. DataTypes_Auto_infer(categorical_features=[],
  9452. display_types=True, features_todrop=[],
  9453. id_columns=[],
  9454. ml_usecase='classification',
  9455. numerical_features=[], target='label',
  9456. time_features=[])),
  9457. ('imputer',
  9458. Simple_Imputer(categorical_strategy='not_available',
  9459. fill_value_categorical=None,
  9460. fill_value_numerical=None,
  9461. numeric_strate...
  9462. target='label')),
  9463. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  9464. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  9465. ('dummy', Dummify(target='label')),
  9466. ('fix_perfect', Remove_100(target='label')),
  9467. ('clean_names', Clean_Colum_Names()),
  9468. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  9469. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  9470. verbose=False)
  9471. 2022-01-18 15:31:53,066:INFO:setup() succesfully completed......................................
  9472. 2022-01-18 15:41:05,679:INFO:PyCaret Supervised Module
  9473. 2022-01-18 15:41:05,679:INFO:ML Usecase: classification
  9474. 2022-01-18 15:41:05,679:INFO:version 2.3.6
  9475. 2022-01-18 15:41:05,680:INFO:Initializing setup()
  9476. 2022-01-18 15:41:05,680:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  9477. 2022-01-18 15:41:05,680:INFO:Checking environment
  9478. 2022-01-18 15:41:05,680:INFO:python_version: 3.8.8
  9479. 2022-01-18 15:41:05,680:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  9480. 2022-01-18 15:41:05,680:INFO:machine: x86_64
  9481. 2022-01-18 15:41:05,680:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  9482. 2022-01-18 15:41:05,681:INFO:Memory: svmem(total=33619935232, available=27558707200, percent=18.0, used=5211738112, free=24882642944, active=1299042304, inactive=6820036608, buffers=686993408, cached=2838560768, shared=383610880, slab=313868288)
  9483. 2022-01-18 15:41:05,681:INFO:Physical Core: 16
  9484. 2022-01-18 15:41:05,681:INFO:Logical Core: 32
  9485. 2022-01-18 15:41:05,682:INFO:Checking libraries
  9486. 2022-01-18 15:41:05,682:INFO:pd==1.2.4
  9487. 2022-01-18 15:41:05,682:INFO:numpy==1.19.5
  9488. 2022-01-18 15:41:05,682:INFO:sklearn==0.23.2
  9489. 2022-01-18 15:41:05,682:INFO:lightgbm==3.3.2
  9490. 2022-01-18 15:41:05,683:WARNING:catboost not found
  9491. 2022-01-18 15:41:05,683:WARNING:xgboost not found
  9492. 2022-01-18 15:41:05,683:INFO:mlflow==1.22.0
  9493. 2022-01-18 15:41:05,684:INFO:Checking Exceptions
  9494. 2022-01-18 15:41:05,684:INFO:Declaring global variables
  9495. 2022-01-18 15:41:05,684:INFO:USI: ab39
  9496. 2022-01-18 15:41:05,684:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  9497. 2022-01-18 15:41:05,684:INFO:Preparing display monitor
  9498. 2022-01-18 15:41:05,684:INFO:Preparing display monitor
  9499. 2022-01-18 15:41:05,692:INFO:Importing libraries
  9500. 2022-01-18 15:41:05,693:INFO:Copying data for preprocessing
  9501. 2022-01-18 15:41:05,698:INFO:Declaring preprocessing parameters
  9502. 2022-01-18 15:41:05,699:WARNING:cuML not found
  9503. 2022-01-18 15:41:05,699:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  9504. 2022-01-18 15:41:05,701:INFO:Creating preprocessing pipeline
  9505. 2022-01-18 15:41:05,730:INFO:Preprocessing pipeline created successfully
  9506. 2022-01-18 15:41:05,730:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  9507. 2022-01-18 15:41:05,730:INFO:Creating global containers
  9508. 2022-01-18 15:41:05,731:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  9509. 2022-01-18 15:41:07,474:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9510. 2022-01-18 15:41:07,502:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9511. 2022-01-18 15:41:07,503:WARNING:Couldn't import cuml.MBSGDClassifier
  9512. 2022-01-18 15:41:07,504:WARNING:Couldn't import cuml.svm.SVC
  9513. 2022-01-18 15:41:07,518:WARNING:Couldn't import cuml.linear_model
  9514. 2022-01-18 15:41:07,521:WARNING:Couldn't import cuml.ensemble
  9515. 2022-01-18 15:41:07,522:WARNING:Couldn't import xgboost.XGBClassifier
  9516. 2022-01-18 15:41:07,525:WARNING:Couldn't import catboost.CatBoostClassifier
  9517. 2022-01-18 15:41:07,526:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  9518. 2022-01-18 15:41:07,556:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  9519. 2022-01-18 15:41:07,557:WARNING:Couldn't import cuml.MBSGDClassifier
  9520. 2022-01-18 15:41:07,557:WARNING:Couldn't import cuml.svm.SVC
  9521. 2022-01-18 15:41:07,572:WARNING:Couldn't import cuml.linear_model
  9522. 2022-01-18 15:41:07,576:WARNING:Couldn't import cuml.ensemble
  9523. 2022-01-18 15:41:07,577:WARNING:Couldn't import xgboost.XGBClassifier
  9524. 2022-01-18 15:41:07,580:WARNING:Couldn't import catboost.CatBoostClassifier
  9525. 2022-01-18 15:41:07,580:INFO:Creating grid variables
  9526. 2022-01-18 15:41:07,593:INFO:create_model_container: 0
  9527. 2022-01-18 15:41:07,593:INFO:master_model_container: 0
  9528. 2022-01-18 15:41:07,594:INFO:display_container: 1
  9529. 2022-01-18 15:41:07,597:INFO:Pipeline(memory=None,
  9530. steps=[('dtypes',
  9531. DataTypes_Auto_infer(categorical_features=[],
  9532. display_types=True, features_todrop=[],
  9533. id_columns=[],
  9534. ml_usecase='classification',
  9535. numerical_features=[], target='label',
  9536. time_features=[])),
  9537. ('imputer',
  9538. Simple_Imputer(categorical_strategy='not_available',
  9539. fill_value_categorical=None,
  9540. fill_value_numerical=None,
  9541. numeric_strate...
  9542. target='label')),
  9543. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  9544. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  9545. ('dummy', Dummify(target='label')),
  9546. ('fix_perfect', Remove_100(target='label')),
  9547. ('clean_names', Clean_Colum_Names()),
  9548. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  9549. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  9550. verbose=False)
  9551. 2022-01-18 15:41:07,597:INFO:setup() succesfully completed......................................
  9552. 2022-01-18 15:41:13,467:INFO:Initializing compare_models()
  9553. 2022-01-18 15:41:13,467:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  9554. 2022-01-18 15:41:13,467:INFO:Checking exceptions
  9555. 2022-01-18 15:41:13,468:INFO:Preparing display monitor
  9556. 2022-01-18 15:41:13,469:INFO:Preparing display monitor
  9557. 2022-01-18 15:41:13,485:INFO:Initializing Logistic Regression
  9558. 2022-01-18 15:41:13,485:INFO:Total runtime is 5.93264897664388e-06 minutes
  9559. 2022-01-18 15:41:13,491:INFO:SubProcess create_model() called ==================================
  9560. 2022-01-18 15:41:13,491:INFO:Initializing create_model()
  9561. 2022-01-18 15:41:13,491:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9562. 2022-01-18 15:41:13,491:INFO:Checking exceptions
  9563. 2022-01-18 15:41:13,492:INFO:Importing libraries
  9564. 2022-01-18 15:41:13,492:INFO:Copying training dataset
  9565. 2022-01-18 15:41:13,493:INFO:Defining folds
  9566. 2022-01-18 15:41:13,493:INFO:Declaring metric variables
  9567. 2022-01-18 15:41:13,498:INFO:Importing untrained model
  9568. 2022-01-18 15:41:13,503:INFO:Logistic Regression Imported succesfully
  9569. 2022-01-18 15:41:13,514:INFO:Starting cross validation
  9570. 2022-01-18 15:41:13,515:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9571. 2022-01-18 15:41:20,325:INFO:Calculating mean and std
  9572. 2022-01-18 15:41:20,330:INFO:Creating metrics dataframe
  9573. 2022-01-18 15:41:20,343:INFO:Uploading results into container
  9574. 2022-01-18 15:41:20,343:INFO:Uploading model into container now
  9575. 2022-01-18 15:41:20,344:INFO:create_model_container: 1
  9576. 2022-01-18 15:41:20,347:INFO:master_model_container: 1
  9577. 2022-01-18 15:41:20,348:INFO:display_container: 2
  9578. 2022-01-18 15:41:20,350:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  9579. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  9580. multi_class='auto', n_jobs=None, penalty='l2',
  9581. random_state=7473, solver='lbfgs', tol=0.0001, verbose=0,
  9582. warm_start=False)
  9583. 2022-01-18 15:41:20,351:INFO:create_model() succesfully completed......................................
  9584. 2022-01-18 15:41:20,444:INFO:SubProcess create_model() end ==================================
  9585. 2022-01-18 15:41:20,444:INFO:Creating metrics dataframe
  9586. 2022-01-18 15:41:20,453:INFO:Initializing K Neighbors Classifier
  9587. 2022-01-18 15:41:20,453:INFO:Total runtime is 0.11613946358362834 minutes
  9588. 2022-01-18 15:41:20,458:INFO:SubProcess create_model() called ==================================
  9589. 2022-01-18 15:41:20,459:INFO:Initializing create_model()
  9590. 2022-01-18 15:41:20,459:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9591. 2022-01-18 15:41:20,459:INFO:Checking exceptions
  9592. 2022-01-18 15:41:20,459:INFO:Importing libraries
  9593. 2022-01-18 15:41:20,459:INFO:Copying training dataset
  9594. 2022-01-18 15:41:20,460:INFO:Defining folds
  9595. 2022-01-18 15:41:20,460:INFO:Declaring metric variables
  9596. 2022-01-18 15:41:20,465:INFO:Importing untrained model
  9597. 2022-01-18 15:41:20,470:INFO:K Neighbors Classifier Imported succesfully
  9598. 2022-01-18 15:41:20,480:INFO:Starting cross validation
  9599. 2022-01-18 15:41:20,480:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9600. 2022-01-18 15:41:37,977:INFO:Calculating mean and std
  9601. 2022-01-18 15:41:37,978:INFO:Creating metrics dataframe
  9602. 2022-01-18 15:41:37,981:INFO:Uploading results into container
  9603. 2022-01-18 15:41:37,981:INFO:Uploading model into container now
  9604. 2022-01-18 15:41:37,981:INFO:create_model_container: 2
  9605. 2022-01-18 15:41:37,981:INFO:master_model_container: 2
  9606. 2022-01-18 15:41:37,981:INFO:display_container: 2
  9607. 2022-01-18 15:41:37,982:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  9608. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  9609. weights='uniform')
  9610. 2022-01-18 15:41:37,982:INFO:create_model() succesfully completed......................................
  9611. 2022-01-18 15:41:38,066:INFO:SubProcess create_model() end ==================================
  9612. 2022-01-18 15:41:38,066:INFO:Creating metrics dataframe
  9613. 2022-01-18 15:41:38,076:INFO:Initializing Naive Bayes
  9614. 2022-01-18 15:41:38,077:INFO:Total runtime is 0.40986427466074626 minutes
  9615. 2022-01-18 15:41:38,082:INFO:SubProcess create_model() called ==================================
  9616. 2022-01-18 15:41:38,082:INFO:Initializing create_model()
  9617. 2022-01-18 15:41:38,082:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9618. 2022-01-18 15:41:38,083:INFO:Checking exceptions
  9619. 2022-01-18 15:41:38,083:INFO:Importing libraries
  9620. 2022-01-18 15:41:38,083:INFO:Copying training dataset
  9621. 2022-01-18 15:41:38,086:INFO:Defining folds
  9622. 2022-01-18 15:41:38,086:INFO:Declaring metric variables
  9623. 2022-01-18 15:41:38,091:INFO:Importing untrained model
  9624. 2022-01-18 15:41:38,096:INFO:Naive Bayes Imported succesfully
  9625. 2022-01-18 15:41:38,105:INFO:Starting cross validation
  9626. 2022-01-18 15:41:38,106:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9627. 2022-01-18 15:41:38,359:INFO:Calculating mean and std
  9628. 2022-01-18 15:41:38,360:INFO:Creating metrics dataframe
  9629. 2022-01-18 15:41:38,363:INFO:Uploading results into container
  9630. 2022-01-18 15:41:38,363:INFO:Uploading model into container now
  9631. 2022-01-18 15:41:38,363:INFO:create_model_container: 3
  9632. 2022-01-18 15:41:38,363:INFO:master_model_container: 3
  9633. 2022-01-18 15:41:38,363:INFO:display_container: 2
  9634. 2022-01-18 15:41:38,364:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  9635. 2022-01-18 15:41:38,364:INFO:create_model() succesfully completed......................................
  9636. 2022-01-18 15:41:38,453:INFO:SubProcess create_model() end ==================================
  9637. 2022-01-18 15:41:38,453:INFO:Creating metrics dataframe
  9638. 2022-01-18 15:41:38,464:INFO:Initializing Decision Tree Classifier
  9639. 2022-01-18 15:41:38,464:INFO:Total runtime is 0.41632137695948285 minutes
  9640. 2022-01-18 15:41:38,470:INFO:SubProcess create_model() called ==================================
  9641. 2022-01-18 15:41:38,470:INFO:Initializing create_model()
  9642. 2022-01-18 15:41:38,470:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9643. 2022-01-18 15:41:38,470:INFO:Checking exceptions
  9644. 2022-01-18 15:41:38,471:INFO:Importing libraries
  9645. 2022-01-18 15:41:38,471:INFO:Copying training dataset
  9646. 2022-01-18 15:41:38,472:INFO:Defining folds
  9647. 2022-01-18 15:41:38,472:INFO:Declaring metric variables
  9648. 2022-01-18 15:41:38,477:INFO:Importing untrained model
  9649. 2022-01-18 15:41:38,482:INFO:Decision Tree Classifier Imported succesfully
  9650. 2022-01-18 15:41:38,492:INFO:Starting cross validation
  9651. 2022-01-18 15:41:38,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9652. 2022-01-18 15:41:39,401:INFO:Calculating mean and std
  9653. 2022-01-18 15:41:39,402:INFO:Creating metrics dataframe
  9654. 2022-01-18 15:41:39,404:INFO:Uploading results into container
  9655. 2022-01-18 15:41:39,405:INFO:Uploading model into container now
  9656. 2022-01-18 15:41:39,405:INFO:create_model_container: 4
  9657. 2022-01-18 15:41:39,405:INFO:master_model_container: 4
  9658. 2022-01-18 15:41:39,405:INFO:display_container: 2
  9659. 2022-01-18 15:41:39,406:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  9660. max_depth=None, max_features=None, max_leaf_nodes=None,
  9661. min_impurity_decrease=0.0, min_impurity_split=None,
  9662. min_samples_leaf=1, min_samples_split=2,
  9663. min_weight_fraction_leaf=0.0, presort='deprecated',
  9664. random_state=7473, splitter='best')
  9665. 2022-01-18 15:41:39,406:INFO:create_model() succesfully completed......................................
  9666. 2022-01-18 15:41:39,482:INFO:SubProcess create_model() end ==================================
  9667. 2022-01-18 15:41:39,482:INFO:Creating metrics dataframe
  9668. 2022-01-18 15:41:39,493:INFO:Initializing SVM - Linear Kernel
  9669. 2022-01-18 15:41:39,494:INFO:Total runtime is 0.433481498559316 minutes
  9670. 2022-01-18 15:41:39,499:INFO:SubProcess create_model() called ==================================
  9671. 2022-01-18 15:41:39,500:INFO:Initializing create_model()
  9672. 2022-01-18 15:41:39,500:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9673. 2022-01-18 15:41:39,500:INFO:Checking exceptions
  9674. 2022-01-18 15:41:39,500:INFO:Importing libraries
  9675. 2022-01-18 15:41:39,500:INFO:Copying training dataset
  9676. 2022-01-18 15:41:39,502:INFO:Defining folds
  9677. 2022-01-18 15:41:39,502:INFO:Declaring metric variables
  9678. 2022-01-18 15:41:39,507:INFO:Importing untrained model
  9679. 2022-01-18 15:41:39,512:INFO:SVM - Linear Kernel Imported succesfully
  9680. 2022-01-18 15:41:39,524:INFO:Starting cross validation
  9681. 2022-01-18 15:41:39,524:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9682. 2022-01-18 15:41:40,722:INFO:Calculating mean and std
  9683. 2022-01-18 15:41:40,725:INFO:Creating metrics dataframe
  9684. 2022-01-18 15:41:40,729:INFO:Uploading results into container
  9685. 2022-01-18 15:41:40,729:INFO:Uploading model into container now
  9686. 2022-01-18 15:41:40,733:INFO:create_model_container: 5
  9687. 2022-01-18 15:41:40,734:INFO:master_model_container: 5
  9688. 2022-01-18 15:41:40,734:INFO:display_container: 2
  9689. 2022-01-18 15:41:40,735:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  9690. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  9691. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  9692. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  9693. power_t=0.5, random_state=7473, shuffle=True, tol=0.001,
  9694. validation_fraction=0.1, verbose=0, warm_start=False)
  9695. 2022-01-18 15:41:40,735:INFO:create_model() succesfully completed......................................
  9696. 2022-01-18 15:41:40,827:INFO:SubProcess create_model() end ==================================
  9697. 2022-01-18 15:41:40,827:INFO:Creating metrics dataframe
  9698. 2022-01-18 15:41:40,838:INFO:Initializing Ridge Classifier
  9699. 2022-01-18 15:41:40,838:INFO:Total runtime is 0.45589210987091067 minutes
  9700. 2022-01-18 15:41:40,843:INFO:SubProcess create_model() called ==================================
  9701. 2022-01-18 15:41:40,844:INFO:Initializing create_model()
  9702. 2022-01-18 15:41:40,844:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9703. 2022-01-18 15:41:40,844:INFO:Checking exceptions
  9704. 2022-01-18 15:41:40,844:INFO:Importing libraries
  9705. 2022-01-18 15:41:40,844:INFO:Copying training dataset
  9706. 2022-01-18 15:41:40,846:INFO:Defining folds
  9707. 2022-01-18 15:41:40,846:INFO:Declaring metric variables
  9708. 2022-01-18 15:41:40,851:INFO:Importing untrained model
  9709. 2022-01-18 15:41:40,856:INFO:Ridge Classifier Imported succesfully
  9710. 2022-01-18 15:41:40,866:INFO:Starting cross validation
  9711. 2022-01-18 15:41:40,866:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9712. 2022-01-18 15:41:41,493:INFO:Calculating mean and std
  9713. 2022-01-18 15:41:41,494:INFO:Creating metrics dataframe
  9714. 2022-01-18 15:41:41,500:INFO:Uploading results into container
  9715. 2022-01-18 15:41:41,500:INFO:Uploading model into container now
  9716. 2022-01-18 15:41:41,500:INFO:create_model_container: 6
  9717. 2022-01-18 15:41:41,500:INFO:master_model_container: 6
  9718. 2022-01-18 15:41:41,501:INFO:display_container: 2
  9719. 2022-01-18 15:41:41,501:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  9720. max_iter=None, normalize=False, random_state=7473,
  9721. solver='auto', tol=0.001)
  9722. 2022-01-18 15:41:41,501:INFO:create_model() succesfully completed......................................
  9723. 2022-01-18 15:41:41,598:INFO:SubProcess create_model() end ==================================
  9724. 2022-01-18 15:41:41,598:INFO:Creating metrics dataframe
  9725. 2022-01-18 15:41:41,610:INFO:Initializing Random Forest Classifier
  9726. 2022-01-18 15:41:41,610:INFO:Total runtime is 0.4687506755193075 minutes
  9727. 2022-01-18 15:41:41,615:INFO:SubProcess create_model() called ==================================
  9728. 2022-01-18 15:41:41,615:INFO:Initializing create_model()
  9729. 2022-01-18 15:41:41,615:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9730. 2022-01-18 15:41:41,615:INFO:Checking exceptions
  9731. 2022-01-18 15:41:41,616:INFO:Importing libraries
  9732. 2022-01-18 15:41:41,616:INFO:Copying training dataset
  9733. 2022-01-18 15:41:41,617:INFO:Defining folds
  9734. 2022-01-18 15:41:41,617:INFO:Declaring metric variables
  9735. 2022-01-18 15:41:41,623:INFO:Importing untrained model
  9736. 2022-01-18 15:41:41,627:INFO:Random Forest Classifier Imported succesfully
  9737. 2022-01-18 15:41:41,638:INFO:Starting cross validation
  9738. 2022-01-18 15:41:41,638:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9739. 2022-01-18 15:41:48,145:INFO:Calculating mean and std
  9740. 2022-01-18 15:41:48,146:INFO:Creating metrics dataframe
  9741. 2022-01-18 15:41:48,148:INFO:Uploading results into container
  9742. 2022-01-18 15:41:48,149:INFO:Uploading model into container now
  9743. 2022-01-18 15:41:48,149:INFO:create_model_container: 7
  9744. 2022-01-18 15:41:48,149:INFO:master_model_container: 7
  9745. 2022-01-18 15:41:48,149:INFO:display_container: 2
  9746. 2022-01-18 15:41:48,150:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9747. criterion='gini', max_depth=None, max_features='auto',
  9748. max_leaf_nodes=None, max_samples=None,
  9749. min_impurity_decrease=0.0, min_impurity_split=None,
  9750. min_samples_leaf=1, min_samples_split=2,
  9751. min_weight_fraction_leaf=0.0, n_estimators=100,
  9752. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  9753. warm_start=False)
  9754. 2022-01-18 15:41:48,150:INFO:create_model() succesfully completed......................................
  9755. 2022-01-18 15:41:48,237:INFO:SubProcess create_model() end ==================================
  9756. 2022-01-18 15:41:48,237:INFO:Creating metrics dataframe
  9757. 2022-01-18 15:41:48,248:INFO:Initializing Quadratic Discriminant Analysis
  9758. 2022-01-18 15:41:48,248:INFO:Total runtime is 0.5793914993604025 minutes
  9759. 2022-01-18 15:41:48,253:INFO:SubProcess create_model() called ==================================
  9760. 2022-01-18 15:41:48,254:INFO:Initializing create_model()
  9761. 2022-01-18 15:41:48,254:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9762. 2022-01-18 15:41:48,254:INFO:Checking exceptions
  9763. 2022-01-18 15:41:48,254:INFO:Importing libraries
  9764. 2022-01-18 15:41:48,254:INFO:Copying training dataset
  9765. 2022-01-18 15:41:48,256:INFO:Defining folds
  9766. 2022-01-18 15:41:48,256:INFO:Declaring metric variables
  9767. 2022-01-18 15:41:48,261:INFO:Importing untrained model
  9768. 2022-01-18 15:41:48,266:INFO:Quadratic Discriminant Analysis Imported succesfully
  9769. 2022-01-18 15:41:48,276:INFO:Starting cross validation
  9770. 2022-01-18 15:41:48,276:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9771. 2022-01-18 15:41:49,361:INFO:Calculating mean and std
  9772. 2022-01-18 15:41:49,362:INFO:Creating metrics dataframe
  9773. 2022-01-18 15:41:49,369:INFO:Uploading results into container
  9774. 2022-01-18 15:41:49,371:INFO:Uploading model into container now
  9775. 2022-01-18 15:41:49,371:INFO:create_model_container: 8
  9776. 2022-01-18 15:41:49,372:INFO:master_model_container: 8
  9777. 2022-01-18 15:41:49,372:INFO:display_container: 2
  9778. 2022-01-18 15:41:49,373:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  9779. store_covariance=False, tol=0.0001)
  9780. 2022-01-18 15:41:49,373:INFO:create_model() succesfully completed......................................
  9781. 2022-01-18 15:41:49,472:INFO:SubProcess create_model() end ==================================
  9782. 2022-01-18 15:41:49,472:INFO:Creating metrics dataframe
  9783. 2022-01-18 15:41:49,484:INFO:Initializing Ada Boost Classifier
  9784. 2022-01-18 15:41:49,484:INFO:Total runtime is 0.5999911546707154 minutes
  9785. 2022-01-18 15:41:49,490:INFO:SubProcess create_model() called ==================================
  9786. 2022-01-18 15:41:49,490:INFO:Initializing create_model()
  9787. 2022-01-18 15:41:49,491:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9788. 2022-01-18 15:41:49,491:INFO:Checking exceptions
  9789. 2022-01-18 15:41:49,491:INFO:Importing libraries
  9790. 2022-01-18 15:41:49,491:INFO:Copying training dataset
  9791. 2022-01-18 15:41:49,493:INFO:Defining folds
  9792. 2022-01-18 15:41:49,493:INFO:Declaring metric variables
  9793. 2022-01-18 15:41:49,498:INFO:Importing untrained model
  9794. 2022-01-18 15:41:49,503:INFO:Ada Boost Classifier Imported succesfully
  9795. 2022-01-18 15:41:49,513:INFO:Starting cross validation
  9796. 2022-01-18 15:41:49,514:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9797. 2022-01-18 15:41:56,412:INFO:Calculating mean and std
  9798. 2022-01-18 15:41:56,413:INFO:Creating metrics dataframe
  9799. 2022-01-18 15:41:56,416:INFO:Uploading results into container
  9800. 2022-01-18 15:41:56,416:INFO:Uploading model into container now
  9801. 2022-01-18 15:41:56,416:INFO:create_model_container: 9
  9802. 2022-01-18 15:41:56,416:INFO:master_model_container: 9
  9803. 2022-01-18 15:41:56,417:INFO:display_container: 2
  9804. 2022-01-18 15:41:56,417:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  9805. n_estimators=50, random_state=7473)
  9806. 2022-01-18 15:41:56,417:INFO:create_model() succesfully completed......................................
  9807. 2022-01-18 15:41:56,500:INFO:SubProcess create_model() end ==================================
  9808. 2022-01-18 15:41:56,501:INFO:Creating metrics dataframe
  9809. 2022-01-18 15:41:56,514:INFO:Initializing Gradient Boosting Classifier
  9810. 2022-01-18 15:41:56,514:INFO:Total runtime is 0.7171598156293234 minutes
  9811. 2022-01-18 15:41:56,521:INFO:SubProcess create_model() called ==================================
  9812. 2022-01-18 15:41:56,522:INFO:Initializing create_model()
  9813. 2022-01-18 15:41:56,522:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9814. 2022-01-18 15:41:56,522:INFO:Checking exceptions
  9815. 2022-01-18 15:41:56,522:INFO:Importing libraries
  9816. 2022-01-18 15:41:56,522:INFO:Copying training dataset
  9817. 2022-01-18 15:41:56,524:INFO:Defining folds
  9818. 2022-01-18 15:41:56,524:INFO:Declaring metric variables
  9819. 2022-01-18 15:41:56,529:INFO:Importing untrained model
  9820. 2022-01-18 15:41:56,534:INFO:Gradient Boosting Classifier Imported succesfully
  9821. 2022-01-18 15:41:56,544:INFO:Starting cross validation
  9822. 2022-01-18 15:41:56,545:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9823. 2022-01-18 15:42:18,613:INFO:Calculating mean and std
  9824. 2022-01-18 15:42:18,614:INFO:Creating metrics dataframe
  9825. 2022-01-18 15:42:18,616:INFO:Uploading results into container
  9826. 2022-01-18 15:42:18,616:INFO:Uploading model into container now
  9827. 2022-01-18 15:42:18,617:INFO:create_model_container: 10
  9828. 2022-01-18 15:42:18,617:INFO:master_model_container: 10
  9829. 2022-01-18 15:42:18,617:INFO:display_container: 2
  9830. 2022-01-18 15:42:18,618:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  9831. learning_rate=0.1, loss='deviance', max_depth=3,
  9832. max_features=None, max_leaf_nodes=None,
  9833. min_impurity_decrease=0.0, min_impurity_split=None,
  9834. min_samples_leaf=1, min_samples_split=2,
  9835. min_weight_fraction_leaf=0.0, n_estimators=100,
  9836. n_iter_no_change=None, presort='deprecated',
  9837. random_state=7473, subsample=1.0, tol=0.0001,
  9838. validation_fraction=0.1, verbose=0,
  9839. warm_start=False)
  9840. 2022-01-18 15:42:18,618:INFO:create_model() succesfully completed......................................
  9841. 2022-01-18 15:42:18,700:INFO:SubProcess create_model() end ==================================
  9842. 2022-01-18 15:42:18,701:INFO:Creating metrics dataframe
  9843. 2022-01-18 15:42:18,713:INFO:Initializing Linear Discriminant Analysis
  9844. 2022-01-18 15:42:18,713:INFO:Total runtime is 1.0871387481689454 minutes
  9845. 2022-01-18 15:42:18,719:INFO:SubProcess create_model() called ==================================
  9846. 2022-01-18 15:42:18,719:INFO:Initializing create_model()
  9847. 2022-01-18 15:42:18,719:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9848. 2022-01-18 15:42:18,719:INFO:Checking exceptions
  9849. 2022-01-18 15:42:18,720:INFO:Importing libraries
  9850. 2022-01-18 15:42:18,720:INFO:Copying training dataset
  9851. 2022-01-18 15:42:18,721:INFO:Defining folds
  9852. 2022-01-18 15:42:18,721:INFO:Declaring metric variables
  9853. 2022-01-18 15:42:18,726:INFO:Importing untrained model
  9854. 2022-01-18 15:42:18,731:INFO:Linear Discriminant Analysis Imported succesfully
  9855. 2022-01-18 15:42:18,741:INFO:Starting cross validation
  9856. 2022-01-18 15:42:18,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9857. 2022-01-18 15:42:20,528:INFO:Calculating mean and std
  9858. 2022-01-18 15:42:20,529:INFO:Creating metrics dataframe
  9859. 2022-01-18 15:42:20,536:INFO:Uploading results into container
  9860. 2022-01-18 15:42:20,537:INFO:Uploading model into container now
  9861. 2022-01-18 15:42:20,538:INFO:create_model_container: 11
  9862. 2022-01-18 15:42:20,538:INFO:master_model_container: 11
  9863. 2022-01-18 15:42:20,538:INFO:display_container: 2
  9864. 2022-01-18 15:42:20,538:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  9865. solver='svd', store_covariance=False, tol=0.0001)
  9866. 2022-01-18 15:42:20,539:INFO:create_model() succesfully completed......................................
  9867. 2022-01-18 15:42:20,639:INFO:SubProcess create_model() end ==================================
  9868. 2022-01-18 15:42:20,639:INFO:Creating metrics dataframe
  9869. 2022-01-18 15:42:20,652:INFO:Initializing Extra Trees Classifier
  9870. 2022-01-18 15:42:20,652:INFO:Total runtime is 1.1194572885831198 minutes
  9871. 2022-01-18 15:42:20,657:INFO:SubProcess create_model() called ==================================
  9872. 2022-01-18 15:42:20,658:INFO:Initializing create_model()
  9873. 2022-01-18 15:42:20,658:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9874. 2022-01-18 15:42:20,658:INFO:Checking exceptions
  9875. 2022-01-18 15:42:20,658:INFO:Importing libraries
  9876. 2022-01-18 15:42:20,658:INFO:Copying training dataset
  9877. 2022-01-18 15:42:20,660:INFO:Defining folds
  9878. 2022-01-18 15:42:20,660:INFO:Declaring metric variables
  9879. 2022-01-18 15:42:20,665:INFO:Importing untrained model
  9880. 2022-01-18 15:42:20,669:INFO:Extra Trees Classifier Imported succesfully
  9881. 2022-01-18 15:42:20,679:INFO:Starting cross validation
  9882. 2022-01-18 15:42:20,680:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9883. 2022-01-18 15:42:27,358:INFO:Calculating mean and std
  9884. 2022-01-18 15:42:27,359:INFO:Creating metrics dataframe
  9885. 2022-01-18 15:42:27,361:INFO:Uploading results into container
  9886. 2022-01-18 15:42:27,361:INFO:Uploading model into container now
  9887. 2022-01-18 15:42:27,362:INFO:create_model_container: 12
  9888. 2022-01-18 15:42:27,362:INFO:master_model_container: 12
  9889. 2022-01-18 15:42:27,362:INFO:display_container: 2
  9890. 2022-01-18 15:42:27,362:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  9891. criterion='gini', max_depth=None, max_features='auto',
  9892. max_leaf_nodes=None, max_samples=None,
  9893. min_impurity_decrease=0.0, min_impurity_split=None,
  9894. min_samples_leaf=1, min_samples_split=2,
  9895. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  9896. oob_score=False, random_state=7473, verbose=0,
  9897. warm_start=False)
  9898. 2022-01-18 15:42:27,363:INFO:create_model() succesfully completed......................................
  9899. 2022-01-18 15:42:27,457:INFO:SubProcess create_model() end ==================================
  9900. 2022-01-18 15:42:27,457:INFO:Creating metrics dataframe
  9901. 2022-01-18 15:42:27,471:INFO:Initializing Light Gradient Boosting Machine
  9902. 2022-01-18 15:42:27,471:INFO:Total runtime is 1.2331105828285218 minutes
  9903. 2022-01-18 15:42:27,477:INFO:SubProcess create_model() called ==================================
  9904. 2022-01-18 15:42:27,478:INFO:Initializing create_model()
  9905. 2022-01-18 15:42:27,478:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9906. 2022-01-18 15:42:27,478:INFO:Checking exceptions
  9907. 2022-01-18 15:42:27,478:INFO:Importing libraries
  9908. 2022-01-18 15:42:27,478:INFO:Copying training dataset
  9909. 2022-01-18 15:42:27,480:INFO:Defining folds
  9910. 2022-01-18 15:42:27,480:INFO:Declaring metric variables
  9911. 2022-01-18 15:42:27,485:INFO:Importing untrained model
  9912. 2022-01-18 15:42:27,491:INFO:Light Gradient Boosting Machine Imported succesfully
  9913. 2022-01-18 15:42:27,501:INFO:Starting cross validation
  9914. 2022-01-18 15:42:27,502:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9915. 2022-01-18 15:42:31,599:INFO:Calculating mean and std
  9916. 2022-01-18 15:42:31,600:INFO:Creating metrics dataframe
  9917. 2022-01-18 15:42:31,603:INFO:Uploading results into container
  9918. 2022-01-18 15:42:31,603:INFO:Uploading model into container now
  9919. 2022-01-18 15:42:31,603:INFO:create_model_container: 13
  9920. 2022-01-18 15:42:31,603:INFO:master_model_container: 13
  9921. 2022-01-18 15:42:31,603:INFO:display_container: 2
  9922. 2022-01-18 15:42:31,604:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  9923. importance_type='split', learning_rate=0.1, max_depth=-1,
  9924. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  9925. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  9926. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  9927. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  9928. 2022-01-18 15:42:31,604:INFO:create_model() succesfully completed......................................
  9929. 2022-01-18 15:42:31,685:INFO:SubProcess create_model() end ==================================
  9930. 2022-01-18 15:42:31,685:INFO:Creating metrics dataframe
  9931. 2022-01-18 15:42:31,699:INFO:Initializing Dummy Classifier
  9932. 2022-01-18 15:42:31,699:INFO:Total runtime is 1.3035667260487875 minutes
  9933. 2022-01-18 15:42:31,704:INFO:SubProcess create_model() called ==================================
  9934. 2022-01-18 15:42:31,705:INFO:Initializing create_model()
  9935. 2022-01-18 15:42:31,705:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582cad940>, kwargs={})
  9936. 2022-01-18 15:42:31,705:INFO:Checking exceptions
  9937. 2022-01-18 15:42:31,705:INFO:Importing libraries
  9938. 2022-01-18 15:42:31,705:INFO:Copying training dataset
  9939. 2022-01-18 15:42:31,707:INFO:Defining folds
  9940. 2022-01-18 15:42:31,707:INFO:Declaring metric variables
  9941. 2022-01-18 15:42:31,712:INFO:Importing untrained model
  9942. 2022-01-18 15:42:31,717:INFO:Dummy Classifier Imported succesfully
  9943. 2022-01-18 15:42:31,730:INFO:Starting cross validation
  9944. 2022-01-18 15:42:31,731:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  9945. 2022-01-18 15:42:31,859:INFO:Calculating mean and std
  9946. 2022-01-18 15:42:31,860:INFO:Creating metrics dataframe
  9947. 2022-01-18 15:42:31,863:INFO:Uploading results into container
  9948. 2022-01-18 15:42:31,863:INFO:Uploading model into container now
  9949. 2022-01-18 15:42:31,863:INFO:create_model_container: 14
  9950. 2022-01-18 15:42:31,863:INFO:master_model_container: 14
  9951. 2022-01-18 15:42:31,863:INFO:display_container: 2
  9952. 2022-01-18 15:42:31,864:INFO:DummyClassifier(constant=None, random_state=7473, strategy='prior')
  9953. 2022-01-18 15:42:31,864:INFO:create_model() succesfully completed......................................
  9954. 2022-01-18 15:42:31,951:INFO:SubProcess create_model() end ==================================
  9955. 2022-01-18 15:42:31,951:INFO:Creating metrics dataframe
  9956. 2022-01-18 15:42:31,976:INFO:Initializing create_model()
  9957. 2022-01-18 15:42:31,976:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9958. criterion='gini', max_depth=None, max_features='auto',
  9959. max_leaf_nodes=None, max_samples=None,
  9960. min_impurity_decrease=0.0, min_impurity_split=None,
  9961. min_samples_leaf=1, min_samples_split=2,
  9962. min_weight_fraction_leaf=0.0, n_estimators=100,
  9963. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  9964. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  9965. 2022-01-18 15:42:31,976:INFO:Checking exceptions
  9966. 2022-01-18 15:42:31,976:INFO:Importing libraries
  9967. 2022-01-18 15:42:31,977:INFO:Copying training dataset
  9968. 2022-01-18 15:42:31,977:INFO:Defining folds
  9969. 2022-01-18 15:42:31,978:INFO:Declaring metric variables
  9970. 2022-01-18 15:42:31,978:INFO:Importing untrained model
  9971. 2022-01-18 15:42:31,978:INFO:Declaring custom model
  9972. 2022-01-18 15:42:31,979:INFO:Random Forest Classifier Imported succesfully
  9973. 2022-01-18 15:42:31,979:INFO:Cross validation set to False
  9974. 2022-01-18 15:42:31,979:INFO:Fitting Model
  9975. 2022-01-18 15:42:32,363:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9976. criterion='gini', max_depth=None, max_features='auto',
  9977. max_leaf_nodes=None, max_samples=None,
  9978. min_impurity_decrease=0.0, min_impurity_split=None,
  9979. min_samples_leaf=1, min_samples_split=2,
  9980. min_weight_fraction_leaf=0.0, n_estimators=100,
  9981. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  9982. warm_start=False)
  9983. 2022-01-18 15:42:32,364:INFO:create_models() succesfully completed......................................
  9984. 2022-01-18 15:42:32,473:INFO:create_model_container: 14
  9985. 2022-01-18 15:42:32,474:INFO:master_model_container: 14
  9986. 2022-01-18 15:42:32,474:INFO:display_container: 2
  9987. 2022-01-18 15:42:32,474:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  9988. criterion='gini', max_depth=None, max_features='auto',
  9989. max_leaf_nodes=None, max_samples=None,
  9990. min_impurity_decrease=0.0, min_impurity_split=None,
  9991. min_samples_leaf=1, min_samples_split=2,
  9992. min_weight_fraction_leaf=0.0, n_estimators=100,
  9993. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  9994. warm_start=False)
  9995. 2022-01-18 15:42:32,474:INFO:compare_models() succesfully completed......................................
  9996. 2022-01-18 15:44:30,879:INFO:Initializing compare_models()
  9997. 2022-01-18 15:44:30,879:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  9998. 2022-01-18 15:44:30,879:INFO:Checking exceptions
  9999. 2022-01-18 15:44:30,880:INFO:Preparing display monitor
  10000. 2022-01-18 15:44:30,881:INFO:Preparing display monitor
  10001. 2022-01-18 15:44:30,897:INFO:Initializing Logistic Regression
  10002. 2022-01-18 15:44:30,897:INFO:Total runtime is 5.618731180826823e-06 minutes
  10003. 2022-01-18 15:44:30,903:INFO:SubProcess create_model() called ==================================
  10004. 2022-01-18 15:44:30,903:INFO:Initializing create_model()
  10005. 2022-01-18 15:44:30,903:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10006. 2022-01-18 15:44:30,904:INFO:Checking exceptions
  10007. 2022-01-18 15:44:30,904:INFO:Importing libraries
  10008. 2022-01-18 15:44:30,904:INFO:Copying training dataset
  10009. 2022-01-18 15:44:30,905:INFO:Defining folds
  10010. 2022-01-18 15:44:30,906:INFO:Declaring metric variables
  10011. 2022-01-18 15:44:30,911:INFO:Importing untrained model
  10012. 2022-01-18 15:44:30,916:INFO:Logistic Regression Imported succesfully
  10013. 2022-01-18 15:44:30,926:INFO:Starting cross validation
  10014. 2022-01-18 15:44:30,927:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10015. 2022-01-18 15:44:37,887:INFO:Calculating mean and std
  10016. 2022-01-18 15:44:37,888:INFO:Creating metrics dataframe
  10017. 2022-01-18 15:44:37,893:INFO:Uploading results into container
  10018. 2022-01-18 15:44:37,893:INFO:Uploading model into container now
  10019. 2022-01-18 15:44:37,893:INFO:create_model_container: 15
  10020. 2022-01-18 15:44:37,894:INFO:master_model_container: 15
  10021. 2022-01-18 15:44:37,894:INFO:display_container: 3
  10022. 2022-01-18 15:44:37,895:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  10023. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  10024. multi_class='auto', n_jobs=None, penalty='l2',
  10025. random_state=7473, solver='lbfgs', tol=0.0001, verbose=0,
  10026. warm_start=False)
  10027. 2022-01-18 15:44:37,895:INFO:create_model() succesfully completed......................................
  10028. 2022-01-18 15:44:37,993:INFO:SubProcess create_model() end ==================================
  10029. 2022-01-18 15:44:37,993:INFO:Creating metrics dataframe
  10030. 2022-01-18 15:44:38,003:INFO:Initializing K Neighbors Classifier
  10031. 2022-01-18 15:44:38,003:INFO:Total runtime is 0.11843294302622477 minutes
  10032. 2022-01-18 15:44:38,008:INFO:SubProcess create_model() called ==================================
  10033. 2022-01-18 15:44:38,009:INFO:Initializing create_model()
  10034. 2022-01-18 15:44:38,009:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10035. 2022-01-18 15:44:38,009:INFO:Checking exceptions
  10036. 2022-01-18 15:44:38,009:INFO:Importing libraries
  10037. 2022-01-18 15:44:38,009:INFO:Copying training dataset
  10038. 2022-01-18 15:44:38,011:INFO:Defining folds
  10039. 2022-01-18 15:44:38,011:INFO:Declaring metric variables
  10040. 2022-01-18 15:44:38,016:INFO:Importing untrained model
  10041. 2022-01-18 15:44:38,021:INFO:K Neighbors Classifier Imported succesfully
  10042. 2022-01-18 15:44:38,031:INFO:Starting cross validation
  10043. 2022-01-18 15:44:38,032:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10044. 2022-01-18 15:44:54,098:INFO:Calculating mean and std
  10045. 2022-01-18 15:44:54,099:INFO:Creating metrics dataframe
  10046. 2022-01-18 15:44:54,102:INFO:Uploading results into container
  10047. 2022-01-18 15:44:54,102:INFO:Uploading model into container now
  10048. 2022-01-18 15:44:54,102:INFO:create_model_container: 16
  10049. 2022-01-18 15:44:54,102:INFO:master_model_container: 16
  10050. 2022-01-18 15:44:54,102:INFO:display_container: 3
  10051. 2022-01-18 15:44:54,103:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10052. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10053. weights='uniform')
  10054. 2022-01-18 15:44:54,103:INFO:create_model() succesfully completed......................................
  10055. 2022-01-18 15:44:54,180:INFO:SubProcess create_model() end ==================================
  10056. 2022-01-18 15:44:54,180:INFO:Creating metrics dataframe
  10057. 2022-01-18 15:44:54,191:INFO:Initializing Naive Bayes
  10058. 2022-01-18 15:44:54,191:INFO:Total runtime is 0.3882308006286621 minutes
  10059. 2022-01-18 15:44:54,196:INFO:SubProcess create_model() called ==================================
  10060. 2022-01-18 15:44:54,196:INFO:Initializing create_model()
  10061. 2022-01-18 15:44:54,196:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10062. 2022-01-18 15:44:54,197:INFO:Checking exceptions
  10063. 2022-01-18 15:44:54,197:INFO:Importing libraries
  10064. 2022-01-18 15:44:54,197:INFO:Copying training dataset
  10065. 2022-01-18 15:44:54,198:INFO:Defining folds
  10066. 2022-01-18 15:44:54,198:INFO:Declaring metric variables
  10067. 2022-01-18 15:44:54,203:INFO:Importing untrained model
  10068. 2022-01-18 15:44:54,208:INFO:Naive Bayes Imported succesfully
  10069. 2022-01-18 15:44:54,218:INFO:Starting cross validation
  10070. 2022-01-18 15:44:54,219:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10071. 2022-01-18 15:44:54,482:INFO:Calculating mean and std
  10072. 2022-01-18 15:44:54,482:INFO:Creating metrics dataframe
  10073. 2022-01-18 15:44:54,485:INFO:Uploading results into container
  10074. 2022-01-18 15:44:54,485:INFO:Uploading model into container now
  10075. 2022-01-18 15:44:54,485:INFO:create_model_container: 17
  10076. 2022-01-18 15:44:54,485:INFO:master_model_container: 17
  10077. 2022-01-18 15:44:54,486:INFO:display_container: 3
  10078. 2022-01-18 15:44:54,486:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  10079. 2022-01-18 15:44:54,486:INFO:create_model() succesfully completed......................................
  10080. 2022-01-18 15:44:54,568:INFO:SubProcess create_model() end ==================================
  10081. 2022-01-18 15:44:54,568:INFO:Creating metrics dataframe
  10082. 2022-01-18 15:44:54,579:INFO:Initializing Decision Tree Classifier
  10083. 2022-01-18 15:44:54,580:INFO:Total runtime is 0.3947117765744527 minutes
  10084. 2022-01-18 15:44:54,585:INFO:SubProcess create_model() called ==================================
  10085. 2022-01-18 15:44:54,586:INFO:Initializing create_model()
  10086. 2022-01-18 15:44:54,586:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10087. 2022-01-18 15:44:54,586:INFO:Checking exceptions
  10088. 2022-01-18 15:44:54,586:INFO:Importing libraries
  10089. 2022-01-18 15:44:54,587:INFO:Copying training dataset
  10090. 2022-01-18 15:44:54,588:INFO:Defining folds
  10091. 2022-01-18 15:44:54,588:INFO:Declaring metric variables
  10092. 2022-01-18 15:44:54,593:INFO:Importing untrained model
  10093. 2022-01-18 15:44:54,598:INFO:Decision Tree Classifier Imported succesfully
  10094. 2022-01-18 15:44:54,609:INFO:Starting cross validation
  10095. 2022-01-18 15:44:54,609:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10096. 2022-01-18 15:44:55,506:INFO:Calculating mean and std
  10097. 2022-01-18 15:44:55,507:INFO:Creating metrics dataframe
  10098. 2022-01-18 15:44:55,510:INFO:Uploading results into container
  10099. 2022-01-18 15:44:55,510:INFO:Uploading model into container now
  10100. 2022-01-18 15:44:55,510:INFO:create_model_container: 18
  10101. 2022-01-18 15:44:55,510:INFO:master_model_container: 18
  10102. 2022-01-18 15:44:55,511:INFO:display_container: 3
  10103. 2022-01-18 15:44:55,511:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10104. max_depth=None, max_features=None, max_leaf_nodes=None,
  10105. min_impurity_decrease=0.0, min_impurity_split=None,
  10106. min_samples_leaf=1, min_samples_split=2,
  10107. min_weight_fraction_leaf=0.0, presort='deprecated',
  10108. random_state=7473, splitter='best')
  10109. 2022-01-18 15:44:55,511:INFO:create_model() succesfully completed......................................
  10110. 2022-01-18 15:44:55,591:INFO:SubProcess create_model() end ==================================
  10111. 2022-01-18 15:44:55,591:INFO:Creating metrics dataframe
  10112. 2022-01-18 15:44:55,602:INFO:Initializing SVM - Linear Kernel
  10113. 2022-01-18 15:44:55,602:INFO:Total runtime is 0.41175559361775715 minutes
  10114. 2022-01-18 15:44:55,608:INFO:SubProcess create_model() called ==================================
  10115. 2022-01-18 15:44:55,608:INFO:Initializing create_model()
  10116. 2022-01-18 15:44:55,608:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10117. 2022-01-18 15:44:55,608:INFO:Checking exceptions
  10118. 2022-01-18 15:44:55,609:INFO:Importing libraries
  10119. 2022-01-18 15:44:55,609:INFO:Copying training dataset
  10120. 2022-01-18 15:44:55,610:INFO:Defining folds
  10121. 2022-01-18 15:44:55,610:INFO:Declaring metric variables
  10122. 2022-01-18 15:44:55,615:INFO:Importing untrained model
  10123. 2022-01-18 15:44:55,620:INFO:SVM - Linear Kernel Imported succesfully
  10124. 2022-01-18 15:44:55,629:INFO:Starting cross validation
  10125. 2022-01-18 15:44:55,630:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10126. 2022-01-18 15:44:56,888:INFO:Calculating mean and std
  10127. 2022-01-18 15:44:56,889:INFO:Creating metrics dataframe
  10128. 2022-01-18 15:44:56,893:INFO:Uploading results into container
  10129. 2022-01-18 15:44:56,897:INFO:Uploading model into container now
  10130. 2022-01-18 15:44:56,899:INFO:create_model_container: 19
  10131. 2022-01-18 15:44:56,899:INFO:master_model_container: 19
  10132. 2022-01-18 15:44:56,899:INFO:display_container: 3
  10133. 2022-01-18 15:44:56,900:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  10134. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  10135. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  10136. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  10137. power_t=0.5, random_state=7473, shuffle=True, tol=0.001,
  10138. validation_fraction=0.1, verbose=0, warm_start=False)
  10139. 2022-01-18 15:44:56,902:INFO:create_model() succesfully completed......................................
  10140. 2022-01-18 15:44:56,999:INFO:SubProcess create_model() end ==================================
  10141. 2022-01-18 15:44:56,999:INFO:Creating metrics dataframe
  10142. 2022-01-18 15:44:57,011:INFO:Initializing Ridge Classifier
  10143. 2022-01-18 15:44:57,011:INFO:Total runtime is 0.43523983160654706 minutes
  10144. 2022-01-18 15:44:57,018:INFO:SubProcess create_model() called ==================================
  10145. 2022-01-18 15:44:57,018:INFO:Initializing create_model()
  10146. 2022-01-18 15:44:57,019:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10147. 2022-01-18 15:44:57,019:INFO:Checking exceptions
  10148. 2022-01-18 15:44:57,019:INFO:Importing libraries
  10149. 2022-01-18 15:44:57,019:INFO:Copying training dataset
  10150. 2022-01-18 15:44:57,021:INFO:Defining folds
  10151. 2022-01-18 15:44:57,021:INFO:Declaring metric variables
  10152. 2022-01-18 15:44:57,029:INFO:Importing untrained model
  10153. 2022-01-18 15:44:57,036:INFO:Ridge Classifier Imported succesfully
  10154. 2022-01-18 15:44:57,053:INFO:Starting cross validation
  10155. 2022-01-18 15:44:57,054:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10156. 2022-01-18 15:44:57,608:INFO:Calculating mean and std
  10157. 2022-01-18 15:44:57,611:INFO:Creating metrics dataframe
  10158. 2022-01-18 15:44:57,616:INFO:Uploading results into container
  10159. 2022-01-18 15:44:57,617:INFO:Uploading model into container now
  10160. 2022-01-18 15:44:57,622:INFO:create_model_container: 20
  10161. 2022-01-18 15:44:57,624:INFO:master_model_container: 20
  10162. 2022-01-18 15:44:57,627:INFO:display_container: 3
  10163. 2022-01-18 15:44:57,629:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  10164. max_iter=None, normalize=False, random_state=7473,
  10165. solver='auto', tol=0.001)
  10166. 2022-01-18 15:44:57,631:INFO:create_model() succesfully completed......................................
  10167. 2022-01-18 15:44:57,730:INFO:SubProcess create_model() end ==================================
  10168. 2022-01-18 15:44:57,730:INFO:Creating metrics dataframe
  10169. 2022-01-18 15:44:57,741:INFO:Initializing Random Forest Classifier
  10170. 2022-01-18 15:44:57,741:INFO:Total runtime is 0.4474069118499756 minutes
  10171. 2022-01-18 15:44:57,747:INFO:SubProcess create_model() called ==================================
  10172. 2022-01-18 15:44:57,747:INFO:Initializing create_model()
  10173. 2022-01-18 15:44:57,747:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10174. 2022-01-18 15:44:57,747:INFO:Checking exceptions
  10175. 2022-01-18 15:44:57,748:INFO:Importing libraries
  10176. 2022-01-18 15:44:57,748:INFO:Copying training dataset
  10177. 2022-01-18 15:44:57,749:INFO:Defining folds
  10178. 2022-01-18 15:44:57,749:INFO:Declaring metric variables
  10179. 2022-01-18 15:44:57,755:INFO:Importing untrained model
  10180. 2022-01-18 15:44:57,760:INFO:Random Forest Classifier Imported succesfully
  10181. 2022-01-18 15:44:57,769:INFO:Starting cross validation
  10182. 2022-01-18 15:44:57,770:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10183. 2022-01-18 15:45:04,305:INFO:Calculating mean and std
  10184. 2022-01-18 15:45:04,307:INFO:Creating metrics dataframe
  10185. 2022-01-18 15:45:04,309:INFO:Uploading results into container
  10186. 2022-01-18 15:45:04,310:INFO:Uploading model into container now
  10187. 2022-01-18 15:45:04,310:INFO:create_model_container: 21
  10188. 2022-01-18 15:45:04,310:INFO:master_model_container: 21
  10189. 2022-01-18 15:45:04,310:INFO:display_container: 3
  10190. 2022-01-18 15:45:04,311:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10191. criterion='gini', max_depth=None, max_features='auto',
  10192. max_leaf_nodes=None, max_samples=None,
  10193. min_impurity_decrease=0.0, min_impurity_split=None,
  10194. min_samples_leaf=1, min_samples_split=2,
  10195. min_weight_fraction_leaf=0.0, n_estimators=100,
  10196. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10197. warm_start=False)
  10198. 2022-01-18 15:45:04,311:INFO:create_model() succesfully completed......................................
  10199. 2022-01-18 15:45:04,398:INFO:SubProcess create_model() end ==================================
  10200. 2022-01-18 15:45:04,399:INFO:Creating metrics dataframe
  10201. 2022-01-18 15:45:04,410:INFO:Initializing Quadratic Discriminant Analysis
  10202. 2022-01-18 15:45:04,410:INFO:Total runtime is 0.5585548082987468 minutes
  10203. 2022-01-18 15:45:04,416:INFO:SubProcess create_model() called ==================================
  10204. 2022-01-18 15:45:04,416:INFO:Initializing create_model()
  10205. 2022-01-18 15:45:04,416:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10206. 2022-01-18 15:45:04,416:INFO:Checking exceptions
  10207. 2022-01-18 15:45:04,416:INFO:Importing libraries
  10208. 2022-01-18 15:45:04,416:INFO:Copying training dataset
  10209. 2022-01-18 15:45:04,418:INFO:Defining folds
  10210. 2022-01-18 15:45:04,418:INFO:Declaring metric variables
  10211. 2022-01-18 15:45:04,422:INFO:Importing untrained model
  10212. 2022-01-18 15:45:04,427:INFO:Quadratic Discriminant Analysis Imported succesfully
  10213. 2022-01-18 15:45:04,437:INFO:Starting cross validation
  10214. 2022-01-18 15:45:04,437:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10215. 2022-01-18 15:45:05,629:INFO:Calculating mean and std
  10216. 2022-01-18 15:45:05,630:INFO:Creating metrics dataframe
  10217. 2022-01-18 15:45:05,635:INFO:Uploading results into container
  10218. 2022-01-18 15:45:05,635:INFO:Uploading model into container now
  10219. 2022-01-18 15:45:05,636:INFO:create_model_container: 22
  10220. 2022-01-18 15:45:05,636:INFO:master_model_container: 22
  10221. 2022-01-18 15:45:05,637:INFO:display_container: 3
  10222. 2022-01-18 15:45:05,638:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  10223. store_covariance=False, tol=0.0001)
  10224. 2022-01-18 15:45:05,641:INFO:create_model() succesfully completed......................................
  10225. 2022-01-18 15:45:05,734:INFO:SubProcess create_model() end ==================================
  10226. 2022-01-18 15:45:05,734:INFO:Creating metrics dataframe
  10227. 2022-01-18 15:45:05,747:INFO:Initializing Ada Boost Classifier
  10228. 2022-01-18 15:45:05,747:INFO:Total runtime is 0.5808298667271933 minutes
  10229. 2022-01-18 15:45:05,752:INFO:SubProcess create_model() called ==================================
  10230. 2022-01-18 15:45:05,753:INFO:Initializing create_model()
  10231. 2022-01-18 15:45:05,753:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10232. 2022-01-18 15:45:05,753:INFO:Checking exceptions
  10233. 2022-01-18 15:45:05,754:INFO:Importing libraries
  10234. 2022-01-18 15:45:05,754:INFO:Copying training dataset
  10235. 2022-01-18 15:45:05,755:INFO:Defining folds
  10236. 2022-01-18 15:45:05,755:INFO:Declaring metric variables
  10237. 2022-01-18 15:45:05,761:INFO:Importing untrained model
  10238. 2022-01-18 15:45:05,766:INFO:Ada Boost Classifier Imported succesfully
  10239. 2022-01-18 15:45:05,778:INFO:Starting cross validation
  10240. 2022-01-18 15:45:05,779:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10241. 2022-01-18 15:45:12,606:INFO:Calculating mean and std
  10242. 2022-01-18 15:45:12,607:INFO:Creating metrics dataframe
  10243. 2022-01-18 15:45:12,610:INFO:Uploading results into container
  10244. 2022-01-18 15:45:12,610:INFO:Uploading model into container now
  10245. 2022-01-18 15:45:12,610:INFO:create_model_container: 23
  10246. 2022-01-18 15:45:12,610:INFO:master_model_container: 23
  10247. 2022-01-18 15:45:12,610:INFO:display_container: 3
  10248. 2022-01-18 15:45:12,610:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  10249. n_estimators=50, random_state=7473)
  10250. 2022-01-18 15:45:12,611:INFO:create_model() succesfully completed......................................
  10251. 2022-01-18 15:45:12,687:INFO:SubProcess create_model() end ==================================
  10252. 2022-01-18 15:45:12,687:INFO:Creating metrics dataframe
  10253. 2022-01-18 15:45:12,699:INFO:Initializing Gradient Boosting Classifier
  10254. 2022-01-18 15:45:12,699:INFO:Total runtime is 0.6967039148012798 minutes
  10255. 2022-01-18 15:45:12,705:INFO:SubProcess create_model() called ==================================
  10256. 2022-01-18 15:45:12,705:INFO:Initializing create_model()
  10257. 2022-01-18 15:45:12,706:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10258. 2022-01-18 15:45:12,706:INFO:Checking exceptions
  10259. 2022-01-18 15:45:12,706:INFO:Importing libraries
  10260. 2022-01-18 15:45:12,706:INFO:Copying training dataset
  10261. 2022-01-18 15:45:12,707:INFO:Defining folds
  10262. 2022-01-18 15:45:12,707:INFO:Declaring metric variables
  10263. 2022-01-18 15:45:12,712:INFO:Importing untrained model
  10264. 2022-01-18 15:45:12,717:INFO:Gradient Boosting Classifier Imported succesfully
  10265. 2022-01-18 15:45:12,727:INFO:Starting cross validation
  10266. 2022-01-18 15:45:12,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10267. 2022-01-18 15:45:34,929:INFO:Calculating mean and std
  10268. 2022-01-18 15:45:34,930:INFO:Creating metrics dataframe
  10269. 2022-01-18 15:45:34,932:INFO:Uploading results into container
  10270. 2022-01-18 15:45:34,932:INFO:Uploading model into container now
  10271. 2022-01-18 15:45:34,932:INFO:create_model_container: 24
  10272. 2022-01-18 15:45:34,932:INFO:master_model_container: 24
  10273. 2022-01-18 15:45:34,933:INFO:display_container: 3
  10274. 2022-01-18 15:45:34,933:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10275. learning_rate=0.1, loss='deviance', max_depth=3,
  10276. max_features=None, max_leaf_nodes=None,
  10277. min_impurity_decrease=0.0, min_impurity_split=None,
  10278. min_samples_leaf=1, min_samples_split=2,
  10279. min_weight_fraction_leaf=0.0, n_estimators=100,
  10280. n_iter_no_change=None, presort='deprecated',
  10281. random_state=7473, subsample=1.0, tol=0.0001,
  10282. validation_fraction=0.1, verbose=0,
  10283. warm_start=False)
  10284. 2022-01-18 15:45:34,933:INFO:create_model() succesfully completed......................................
  10285. 2022-01-18 15:45:35,009:INFO:SubProcess create_model() end ==================================
  10286. 2022-01-18 15:45:35,009:INFO:Creating metrics dataframe
  10287. 2022-01-18 15:45:35,021:INFO:Initializing Linear Discriminant Analysis
  10288. 2022-01-18 15:45:35,021:INFO:Total runtime is 1.0687391678492228 minutes
  10289. 2022-01-18 15:45:35,027:INFO:SubProcess create_model() called ==================================
  10290. 2022-01-18 15:45:35,027:INFO:Initializing create_model()
  10291. 2022-01-18 15:45:35,027:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10292. 2022-01-18 15:45:35,027:INFO:Checking exceptions
  10293. 2022-01-18 15:45:35,028:INFO:Importing libraries
  10294. 2022-01-18 15:45:35,028:INFO:Copying training dataset
  10295. 2022-01-18 15:45:35,029:INFO:Defining folds
  10296. 2022-01-18 15:45:35,029:INFO:Declaring metric variables
  10297. 2022-01-18 15:45:35,035:INFO:Importing untrained model
  10298. 2022-01-18 15:45:35,040:INFO:Linear Discriminant Analysis Imported succesfully
  10299. 2022-01-18 15:45:35,049:INFO:Starting cross validation
  10300. 2022-01-18 15:45:35,050:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10301. 2022-01-18 15:45:36,973:INFO:Calculating mean and std
  10302. 2022-01-18 15:45:36,975:INFO:Creating metrics dataframe
  10303. 2022-01-18 15:45:36,978:INFO:Uploading results into container
  10304. 2022-01-18 15:45:36,982:INFO:Uploading model into container now
  10305. 2022-01-18 15:45:36,982:INFO:create_model_container: 25
  10306. 2022-01-18 15:45:36,982:INFO:master_model_container: 25
  10307. 2022-01-18 15:45:36,982:INFO:display_container: 3
  10308. 2022-01-18 15:45:36,983:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  10309. solver='svd', store_covariance=False, tol=0.0001)
  10310. 2022-01-18 15:45:36,983:INFO:create_model() succesfully completed......................................
  10311. 2022-01-18 15:45:37,091:INFO:SubProcess create_model() end ==================================
  10312. 2022-01-18 15:45:37,091:INFO:Creating metrics dataframe
  10313. 2022-01-18 15:45:37,104:INFO:Initializing Extra Trees Classifier
  10314. 2022-01-18 15:45:37,104:INFO:Total runtime is 1.103451669216156 minutes
  10315. 2022-01-18 15:45:37,110:INFO:SubProcess create_model() called ==================================
  10316. 2022-01-18 15:45:37,110:INFO:Initializing create_model()
  10317. 2022-01-18 15:45:37,110:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10318. 2022-01-18 15:45:37,110:INFO:Checking exceptions
  10319. 2022-01-18 15:45:37,110:INFO:Importing libraries
  10320. 2022-01-18 15:45:37,110:INFO:Copying training dataset
  10321. 2022-01-18 15:45:37,112:INFO:Defining folds
  10322. 2022-01-18 15:45:37,112:INFO:Declaring metric variables
  10323. 2022-01-18 15:45:37,117:INFO:Importing untrained model
  10324. 2022-01-18 15:45:37,122:INFO:Extra Trees Classifier Imported succesfully
  10325. 2022-01-18 15:45:37,132:INFO:Starting cross validation
  10326. 2022-01-18 15:45:37,133:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10327. 2022-01-18 15:45:43,860:INFO:Calculating mean and std
  10328. 2022-01-18 15:45:43,860:INFO:Creating metrics dataframe
  10329. 2022-01-18 15:45:43,863:INFO:Uploading results into container
  10330. 2022-01-18 15:45:43,863:INFO:Uploading model into container now
  10331. 2022-01-18 15:45:43,863:INFO:create_model_container: 26
  10332. 2022-01-18 15:45:43,863:INFO:master_model_container: 26
  10333. 2022-01-18 15:45:43,864:INFO:display_container: 3
  10334. 2022-01-18 15:45:43,864:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10335. criterion='gini', max_depth=None, max_features='auto',
  10336. max_leaf_nodes=None, max_samples=None,
  10337. min_impurity_decrease=0.0, min_impurity_split=None,
  10338. min_samples_leaf=1, min_samples_split=2,
  10339. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10340. oob_score=False, random_state=7473, verbose=0,
  10341. warm_start=False)
  10342. 2022-01-18 15:45:43,864:INFO:create_model() succesfully completed......................................
  10343. 2022-01-18 15:45:43,951:INFO:SubProcess create_model() end ==================================
  10344. 2022-01-18 15:45:43,952:INFO:Creating metrics dataframe
  10345. 2022-01-18 15:45:43,965:INFO:Initializing Light Gradient Boosting Machine
  10346. 2022-01-18 15:45:43,965:INFO:Total runtime is 1.2178025285402934 minutes
  10347. 2022-01-18 15:45:43,970:INFO:SubProcess create_model() called ==================================
  10348. 2022-01-18 15:45:43,971:INFO:Initializing create_model()
  10349. 2022-01-18 15:45:43,971:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10350. 2022-01-18 15:45:43,971:INFO:Checking exceptions
  10351. 2022-01-18 15:45:43,971:INFO:Importing libraries
  10352. 2022-01-18 15:45:43,971:INFO:Copying training dataset
  10353. 2022-01-18 15:45:43,973:INFO:Defining folds
  10354. 2022-01-18 15:45:43,973:INFO:Declaring metric variables
  10355. 2022-01-18 15:45:43,978:INFO:Importing untrained model
  10356. 2022-01-18 15:45:43,983:INFO:Light Gradient Boosting Machine Imported succesfully
  10357. 2022-01-18 15:45:43,993:INFO:Starting cross validation
  10358. 2022-01-18 15:45:43,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10359. 2022-01-18 15:45:47,319:INFO:Calculating mean and std
  10360. 2022-01-18 15:45:47,320:INFO:Creating metrics dataframe
  10361. 2022-01-18 15:45:47,323:INFO:Uploading results into container
  10362. 2022-01-18 15:45:47,323:INFO:Uploading model into container now
  10363. 2022-01-18 15:45:47,323:INFO:create_model_container: 27
  10364. 2022-01-18 15:45:47,323:INFO:master_model_container: 27
  10365. 2022-01-18 15:45:47,324:INFO:display_container: 3
  10366. 2022-01-18 15:45:47,324:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10367. importance_type='split', learning_rate=0.1, max_depth=-1,
  10368. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10369. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10370. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10371. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  10372. 2022-01-18 15:45:47,324:INFO:create_model() succesfully completed......................................
  10373. 2022-01-18 15:45:47,400:INFO:SubProcess create_model() end ==================================
  10374. 2022-01-18 15:45:47,401:INFO:Creating metrics dataframe
  10375. 2022-01-18 15:45:47,414:INFO:Initializing Dummy Classifier
  10376. 2022-01-18 15:45:47,414:INFO:Total runtime is 1.275287119547526 minutes
  10377. 2022-01-18 15:45:47,420:INFO:SubProcess create_model() called ==================================
  10378. 2022-01-18 15:45:47,420:INFO:Initializing create_model()
  10379. 2022-01-18 15:45:47,420:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f85844683d0>, kwargs={})
  10380. 2022-01-18 15:45:47,420:INFO:Checking exceptions
  10381. 2022-01-18 15:45:47,421:INFO:Importing libraries
  10382. 2022-01-18 15:45:47,421:INFO:Copying training dataset
  10383. 2022-01-18 15:45:47,422:INFO:Defining folds
  10384. 2022-01-18 15:45:47,422:INFO:Declaring metric variables
  10385. 2022-01-18 15:45:47,427:INFO:Importing untrained model
  10386. 2022-01-18 15:45:47,432:INFO:Dummy Classifier Imported succesfully
  10387. 2022-01-18 15:45:47,442:INFO:Starting cross validation
  10388. 2022-01-18 15:45:47,442:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10389. 2022-01-18 15:45:47,561:INFO:Calculating mean and std
  10390. 2022-01-18 15:45:47,561:INFO:Creating metrics dataframe
  10391. 2022-01-18 15:45:47,564:INFO:Uploading results into container
  10392. 2022-01-18 15:45:47,564:INFO:Uploading model into container now
  10393. 2022-01-18 15:45:47,564:INFO:create_model_container: 28
  10394. 2022-01-18 15:45:47,564:INFO:master_model_container: 28
  10395. 2022-01-18 15:45:47,565:INFO:display_container: 3
  10396. 2022-01-18 15:45:47,565:INFO:DummyClassifier(constant=None, random_state=7473, strategy='prior')
  10397. 2022-01-18 15:45:47,565:INFO:create_model() succesfully completed......................................
  10398. 2022-01-18 15:45:47,649:INFO:SubProcess create_model() end ==================================
  10399. 2022-01-18 15:45:47,649:INFO:Creating metrics dataframe
  10400. 2022-01-18 15:45:47,676:INFO:Initializing create_model()
  10401. 2022-01-18 15:45:47,676:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10402. criterion='gini', max_depth=None, max_features='auto',
  10403. max_leaf_nodes=None, max_samples=None,
  10404. min_impurity_decrease=0.0, min_impurity_split=None,
  10405. min_samples_leaf=1, min_samples_split=2,
  10406. min_weight_fraction_leaf=0.0, n_estimators=100,
  10407. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10408. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10409. 2022-01-18 15:45:47,676:INFO:Checking exceptions
  10410. 2022-01-18 15:45:47,676:INFO:Importing libraries
  10411. 2022-01-18 15:45:47,677:INFO:Copying training dataset
  10412. 2022-01-18 15:45:47,678:INFO:Defining folds
  10413. 2022-01-18 15:45:47,678:INFO:Declaring metric variables
  10414. 2022-01-18 15:45:47,678:INFO:Importing untrained model
  10415. 2022-01-18 15:45:47,678:INFO:Declaring custom model
  10416. 2022-01-18 15:45:47,679:INFO:Random Forest Classifier Imported succesfully
  10417. 2022-01-18 15:45:47,679:INFO:Cross validation set to False
  10418. 2022-01-18 15:45:47,679:INFO:Fitting Model
  10419. 2022-01-18 15:45:48,093:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10420. criterion='gini', max_depth=None, max_features='auto',
  10421. max_leaf_nodes=None, max_samples=None,
  10422. min_impurity_decrease=0.0, min_impurity_split=None,
  10423. min_samples_leaf=1, min_samples_split=2,
  10424. min_weight_fraction_leaf=0.0, n_estimators=100,
  10425. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10426. warm_start=False)
  10427. 2022-01-18 15:45:48,093:INFO:create_models() succesfully completed......................................
  10428. 2022-01-18 15:45:48,180:INFO:Initializing create_model()
  10429. 2022-01-18 15:45:48,180:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10430. criterion='gini', max_depth=None, max_features='auto',
  10431. max_leaf_nodes=None, max_samples=None,
  10432. min_impurity_decrease=0.0, min_impurity_split=None,
  10433. min_samples_leaf=1, min_samples_split=2,
  10434. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10435. oob_score=False, random_state=7473, verbose=0,
  10436. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10437. 2022-01-18 15:45:48,180:INFO:Checking exceptions
  10438. 2022-01-18 15:45:48,181:INFO:Importing libraries
  10439. 2022-01-18 15:45:48,181:INFO:Copying training dataset
  10440. 2022-01-18 15:45:48,182:INFO:Defining folds
  10441. 2022-01-18 15:45:48,182:INFO:Declaring metric variables
  10442. 2022-01-18 15:45:48,182:INFO:Importing untrained model
  10443. 2022-01-18 15:45:48,182:INFO:Declaring custom model
  10444. 2022-01-18 15:45:48,183:INFO:Extra Trees Classifier Imported succesfully
  10445. 2022-01-18 15:45:48,183:INFO:Cross validation set to False
  10446. 2022-01-18 15:45:48,183:INFO:Fitting Model
  10447. 2022-01-18 15:45:48,504:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10448. criterion='gini', max_depth=None, max_features='auto',
  10449. max_leaf_nodes=None, max_samples=None,
  10450. min_impurity_decrease=0.0, min_impurity_split=None,
  10451. min_samples_leaf=1, min_samples_split=2,
  10452. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10453. oob_score=False, random_state=7473, verbose=0,
  10454. warm_start=False)
  10455. 2022-01-18 15:45:48,504:INFO:create_models() succesfully completed......................................
  10456. 2022-01-18 15:45:48,587:INFO:Initializing create_model()
  10457. 2022-01-18 15:45:48,587:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10458. max_depth=None, max_features=None, max_leaf_nodes=None,
  10459. min_impurity_decrease=0.0, min_impurity_split=None,
  10460. min_samples_leaf=1, min_samples_split=2,
  10461. min_weight_fraction_leaf=0.0, presort='deprecated',
  10462. random_state=7473, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10463. 2022-01-18 15:45:48,588:INFO:Checking exceptions
  10464. 2022-01-18 15:45:48,588:INFO:Importing libraries
  10465. 2022-01-18 15:45:48,588:INFO:Copying training dataset
  10466. 2022-01-18 15:45:48,589:INFO:Defining folds
  10467. 2022-01-18 15:45:48,589:INFO:Declaring metric variables
  10468. 2022-01-18 15:45:48,589:INFO:Importing untrained model
  10469. 2022-01-18 15:45:48,589:INFO:Declaring custom model
  10470. 2022-01-18 15:45:48,590:INFO:Decision Tree Classifier Imported succesfully
  10471. 2022-01-18 15:45:48,590:INFO:Cross validation set to False
  10472. 2022-01-18 15:45:48,590:INFO:Fitting Model
  10473. 2022-01-18 15:45:48,676:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10474. max_depth=None, max_features=None, max_leaf_nodes=None,
  10475. min_impurity_decrease=0.0, min_impurity_split=None,
  10476. min_samples_leaf=1, min_samples_split=2,
  10477. min_weight_fraction_leaf=0.0, presort='deprecated',
  10478. random_state=7473, splitter='best')
  10479. 2022-01-18 15:45:48,676:INFO:create_models() succesfully completed......................................
  10480. 2022-01-18 15:45:48,759:INFO:Initializing create_model()
  10481. 2022-01-18 15:45:48,759:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10482. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10483. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10484. 2022-01-18 15:45:48,759:INFO:Checking exceptions
  10485. 2022-01-18 15:45:48,759:INFO:Importing libraries
  10486. 2022-01-18 15:45:48,760:INFO:Copying training dataset
  10487. 2022-01-18 15:45:48,760:INFO:Defining folds
  10488. 2022-01-18 15:45:48,761:INFO:Declaring metric variables
  10489. 2022-01-18 15:45:48,761:INFO:Importing untrained model
  10490. 2022-01-18 15:45:48,761:INFO:Declaring custom model
  10491. 2022-01-18 15:45:48,761:INFO:K Neighbors Classifier Imported succesfully
  10492. 2022-01-18 15:45:48,762:INFO:Cross validation set to False
  10493. 2022-01-18 15:45:48,762:INFO:Fitting Model
  10494. 2022-01-18 15:45:50,213:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10495. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10496. weights='uniform')
  10497. 2022-01-18 15:45:50,213:INFO:create_models() succesfully completed......................................
  10498. 2022-01-18 15:45:50,295:INFO:Initializing create_model()
  10499. 2022-01-18 15:45:50,295:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10500. importance_type='split', learning_rate=0.1, max_depth=-1,
  10501. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10502. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10503. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10504. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10505. 2022-01-18 15:45:50,296:INFO:Checking exceptions
  10506. 2022-01-18 15:45:50,296:INFO:Importing libraries
  10507. 2022-01-18 15:45:50,296:INFO:Copying training dataset
  10508. 2022-01-18 15:45:50,297:INFO:Defining folds
  10509. 2022-01-18 15:45:50,297:INFO:Declaring metric variables
  10510. 2022-01-18 15:45:50,297:INFO:Importing untrained model
  10511. 2022-01-18 15:45:50,297:INFO:Declaring custom model
  10512. 2022-01-18 15:45:50,298:INFO:Light Gradient Boosting Machine Imported succesfully
  10513. 2022-01-18 15:45:50,298:INFO:Cross validation set to False
  10514. 2022-01-18 15:45:50,298:INFO:Fitting Model
  10515. 2022-01-18 15:45:50,656:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10516. importance_type='split', learning_rate=0.1, max_depth=-1,
  10517. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10518. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10519. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10520. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  10521. 2022-01-18 15:45:50,657:INFO:create_models() succesfully completed......................................
  10522. 2022-01-18 15:45:50,739:INFO:Initializing create_model()
  10523. 2022-01-18 15:45:50,740:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10524. learning_rate=0.1, loss='deviance', max_depth=3,
  10525. max_features=None, max_leaf_nodes=None,
  10526. min_impurity_decrease=0.0, min_impurity_split=None,
  10527. min_samples_leaf=1, min_samples_split=2,
  10528. min_weight_fraction_leaf=0.0, n_estimators=100,
  10529. n_iter_no_change=None, presort='deprecated',
  10530. random_state=7473, subsample=1.0, tol=0.0001,
  10531. validation_fraction=0.1, verbose=0,
  10532. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  10533. 2022-01-18 15:45:50,740:INFO:Checking exceptions
  10534. 2022-01-18 15:45:50,740:INFO:Importing libraries
  10535. 2022-01-18 15:45:50,740:INFO:Copying training dataset
  10536. 2022-01-18 15:45:50,741:INFO:Defining folds
  10537. 2022-01-18 15:45:50,741:INFO:Declaring metric variables
  10538. 2022-01-18 15:45:50,741:INFO:Importing untrained model
  10539. 2022-01-18 15:45:50,742:INFO:Declaring custom model
  10540. 2022-01-18 15:45:50,742:INFO:Gradient Boosting Classifier Imported succesfully
  10541. 2022-01-18 15:45:50,742:INFO:Cross validation set to False
  10542. 2022-01-18 15:45:50,743:INFO:Fitting Model
  10543. 2022-01-18 15:45:53,222:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10544. learning_rate=0.1, loss='deviance', max_depth=3,
  10545. max_features=None, max_leaf_nodes=None,
  10546. min_impurity_decrease=0.0, min_impurity_split=None,
  10547. min_samples_leaf=1, min_samples_split=2,
  10548. min_weight_fraction_leaf=0.0, n_estimators=100,
  10549. n_iter_no_change=None, presort='deprecated',
  10550. random_state=7473, subsample=1.0, tol=0.0001,
  10551. validation_fraction=0.1, verbose=0,
  10552. warm_start=False)
  10553. 2022-01-18 15:45:53,223:INFO:create_models() succesfully completed......................................
  10554. 2022-01-18 15:45:53,331:INFO:create_model_container: 28
  10555. 2022-01-18 15:45:53,331:INFO:master_model_container: 28
  10556. 2022-01-18 15:45:53,331:INFO:display_container: 3
  10557. 2022-01-18 15:45:53,332:INFO:[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10558. criterion='gini', max_depth=None, max_features='auto',
  10559. max_leaf_nodes=None, max_samples=None,
  10560. min_impurity_decrease=0.0, min_impurity_split=None,
  10561. min_samples_leaf=1, min_samples_split=2,
  10562. min_weight_fraction_leaf=0.0, n_estimators=100,
  10563. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10564. warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10565. criterion='gini', max_depth=None, max_features='auto',
  10566. max_leaf_nodes=None, max_samples=None,
  10567. min_impurity_decrease=0.0, min_impurity_split=None,
  10568. min_samples_leaf=1, min_samples_split=2,
  10569. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10570. oob_score=False, random_state=7473, verbose=0,
  10571. warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10572. max_depth=None, max_features=None, max_leaf_nodes=None,
  10573. min_impurity_decrease=0.0, min_impurity_split=None,
  10574. min_samples_leaf=1, min_samples_split=2,
  10575. min_weight_fraction_leaf=0.0, presort='deprecated',
  10576. random_state=7473, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10577. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10578. weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10579. importance_type='split', learning_rate=0.1, max_depth=-1,
  10580. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10581. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10582. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10583. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10584. learning_rate=0.1, loss='deviance', max_depth=3,
  10585. max_features=None, max_leaf_nodes=None,
  10586. min_impurity_decrease=0.0, min_impurity_split=None,
  10587. min_samples_leaf=1, min_samples_split=2,
  10588. min_weight_fraction_leaf=0.0, n_estimators=100,
  10589. n_iter_no_change=None, presort='deprecated',
  10590. random_state=7473, subsample=1.0, tol=0.0001,
  10591. validation_fraction=0.1, verbose=0,
  10592. warm_start=False)]
  10593. 2022-01-18 15:45:53,332:INFO:compare_models() succesfully completed......................................
  10594. 2022-01-18 15:47:39,933:INFO:Initializing tune_model()
  10595. 2022-01-18 15:47:39,933:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10596. criterion='gini', max_depth=None, max_features='auto',
  10597. max_leaf_nodes=None, max_samples=None,
  10598. min_impurity_decrease=0.0, min_impurity_split=None,
  10599. min_samples_leaf=1, min_samples_split=2,
  10600. min_weight_fraction_leaf=0.0, n_estimators=100,
  10601. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10602. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10603. 2022-01-18 15:47:39,933:INFO:Checking exceptions
  10604. 2022-01-18 15:47:39,934:INFO:Preparing display monitor
  10605. 2022-01-18 15:47:39,945:INFO:Copying training dataset
  10606. 2022-01-18 15:47:39,946:INFO:Checking base model
  10607. 2022-01-18 15:47:39,947:INFO:Base model : Random Forest Classifier
  10608. 2022-01-18 15:47:39,952:INFO:Declaring metric variables
  10609. 2022-01-18 15:47:39,956:INFO:Defining Hyperparameters
  10610. 2022-01-18 15:47:40,044:INFO:Tuning with n_jobs=-1
  10611. 2022-01-18 15:47:40,044:INFO:Initializing RandomizedSearchCV
  10612. 2022-01-18 15:48:00,237:INFO:best_params: {'actual_estimator__n_estimators': 30, 'actual_estimator__min_samples_split': 9, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.002, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 11, 'actual_estimator__criterion': 'entropy', 'actual_estimator__class_weight': {}, 'actual_estimator__bootstrap': True}
  10613. 2022-01-18 15:48:00,237:INFO:Hyperparameter search completed
  10614. 2022-01-18 15:48:00,237:INFO:SubProcess create_model() called ==================================
  10615. 2022-01-18 15:48:00,238:INFO:Initializing create_model()
  10616. 2022-01-18 15:48:00,238:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  10617. criterion='gini', max_depth=None, max_features='auto',
  10618. max_leaf_nodes=None, max_samples=None,
  10619. min_impurity_decrease=0.0, min_impurity_split=None,
  10620. min_samples_leaf=1, min_samples_split=2,
  10621. min_weight_fraction_leaf=0.0, n_estimators=100,
  10622. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  10623. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8583cd4ca0>, kwargs={'n_estimators': 30, 'min_samples_split': 9, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.002, 'max_features': 'sqrt', 'max_depth': 11, 'criterion': 'entropy', 'class_weight': {}, 'bootstrap': True})
  10624. 2022-01-18 15:48:00,238:INFO:Checking exceptions
  10625. 2022-01-18 15:48:00,238:INFO:Importing libraries
  10626. 2022-01-18 15:48:00,239:INFO:Copying training dataset
  10627. 2022-01-18 15:48:00,240:INFO:Defining folds
  10628. 2022-01-18 15:48:00,240:INFO:Declaring metric variables
  10629. 2022-01-18 15:48:00,245:INFO:Importing untrained model
  10630. 2022-01-18 15:48:00,245:INFO:Declaring custom model
  10631. 2022-01-18 15:48:00,251:INFO:Random Forest Classifier Imported succesfully
  10632. 2022-01-18 15:48:00,264:INFO:Starting cross validation
  10633. 2022-01-18 15:48:00,265:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10634. 2022-01-18 15:48:03,098:INFO:Calculating mean and std
  10635. 2022-01-18 15:48:03,099:INFO:Creating metrics dataframe
  10636. 2022-01-18 15:48:03,106:INFO:Finalizing model
  10637. 2022-01-18 15:48:03,220:INFO:Uploading results into container
  10638. 2022-01-18 15:48:03,220:INFO:Uploading model into container now
  10639. 2022-01-18 15:48:03,220:INFO:create_model_container: 29
  10640. 2022-01-18 15:48:03,221:INFO:master_model_container: 29
  10641. 2022-01-18 15:48:03,221:INFO:display_container: 4
  10642. 2022-01-18 15:48:03,221:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10643. criterion='entropy', max_depth=11, max_features='sqrt',
  10644. max_leaf_nodes=None, max_samples=None,
  10645. min_impurity_decrease=0.002, min_impurity_split=None,
  10646. min_samples_leaf=5, min_samples_split=9,
  10647. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10648. oob_score=False, random_state=7473, verbose=0,
  10649. warm_start=False)
  10650. 2022-01-18 15:48:03,222:INFO:create_model() succesfully completed......................................
  10651. 2022-01-18 15:48:03,302:INFO:SubProcess create_model() end ==================================
  10652. 2022-01-18 15:48:03,312:INFO:create_model_container: 29
  10653. 2022-01-18 15:48:03,312:INFO:master_model_container: 29
  10654. 2022-01-18 15:48:03,312:INFO:display_container: 4
  10655. 2022-01-18 15:48:03,312:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10656. criterion='entropy', max_depth=11, max_features='sqrt',
  10657. max_leaf_nodes=None, max_samples=None,
  10658. min_impurity_decrease=0.002, min_impurity_split=None,
  10659. min_samples_leaf=5, min_samples_split=9,
  10660. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10661. oob_score=False, random_state=7473, verbose=0,
  10662. warm_start=False)
  10663. 2022-01-18 15:48:03,313:INFO:tune_model() succesfully completed......................................
  10664. 2022-01-18 15:48:03,398:INFO:Initializing tune_model()
  10665. 2022-01-18 15:48:03,398:INFO:tune_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10666. criterion='gini', max_depth=None, max_features='auto',
  10667. max_leaf_nodes=None, max_samples=None,
  10668. min_impurity_decrease=0.0, min_impurity_split=None,
  10669. min_samples_leaf=1, min_samples_split=2,
  10670. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10671. oob_score=False, random_state=7473, verbose=0,
  10672. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10673. 2022-01-18 15:48:03,398:INFO:Checking exceptions
  10674. 2022-01-18 15:48:03,399:INFO:Preparing display monitor
  10675. 2022-01-18 15:48:03,410:INFO:Copying training dataset
  10676. 2022-01-18 15:48:03,411:INFO:Checking base model
  10677. 2022-01-18 15:48:03,411:INFO:Base model : Extra Trees Classifier
  10678. 2022-01-18 15:48:03,416:INFO:Declaring metric variables
  10679. 2022-01-18 15:48:03,421:INFO:Defining Hyperparameters
  10680. 2022-01-18 15:48:03,510:INFO:Tuning with n_jobs=-1
  10681. 2022-01-18 15:48:03,510:INFO:Initializing RandomizedSearchCV
  10682. 2022-01-18 15:48:21,992:INFO:best_params: {'actual_estimator__n_estimators': 30, 'actual_estimator__min_samples_split': 9, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.002, 'actual_estimator__max_features': 'sqrt', 'actual_estimator__max_depth': 11, 'actual_estimator__criterion': 'entropy', 'actual_estimator__class_weight': {}, 'actual_estimator__bootstrap': True}
  10683. 2022-01-18 15:48:21,992:INFO:Hyperparameter search completed
  10684. 2022-01-18 15:48:21,992:INFO:SubProcess create_model() called ==================================
  10685. 2022-01-18 15:48:21,993:INFO:Initializing create_model()
  10686. 2022-01-18 15:48:21,993:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  10687. criterion='gini', max_depth=None, max_features='auto',
  10688. max_leaf_nodes=None, max_samples=None,
  10689. min_impurity_decrease=0.0, min_impurity_split=None,
  10690. min_samples_leaf=1, min_samples_split=2,
  10691. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  10692. oob_score=False, random_state=7473, verbose=0,
  10693. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582b745e0>, kwargs={'n_estimators': 30, 'min_samples_split': 9, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.002, 'max_features': 'sqrt', 'max_depth': 11, 'criterion': 'entropy', 'class_weight': {}, 'bootstrap': True})
  10694. 2022-01-18 15:48:21,993:INFO:Checking exceptions
  10695. 2022-01-18 15:48:21,993:INFO:Importing libraries
  10696. 2022-01-18 15:48:21,993:INFO:Copying training dataset
  10697. 2022-01-18 15:48:21,995:INFO:Defining folds
  10698. 2022-01-18 15:48:21,995:INFO:Declaring metric variables
  10699. 2022-01-18 15:48:22,000:INFO:Importing untrained model
  10700. 2022-01-18 15:48:22,000:INFO:Declaring custom model
  10701. 2022-01-18 15:48:22,005:INFO:Extra Trees Classifier Imported succesfully
  10702. 2022-01-18 15:48:22,015:INFO:Starting cross validation
  10703. 2022-01-18 15:48:22,016:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10704. 2022-01-18 15:48:24,852:INFO:Calculating mean and std
  10705. 2022-01-18 15:48:24,853:INFO:Creating metrics dataframe
  10706. 2022-01-18 15:48:24,861:INFO:Finalizing model
  10707. 2022-01-18 15:48:24,977:INFO:Uploading results into container
  10708. 2022-01-18 15:48:24,978:INFO:Uploading model into container now
  10709. 2022-01-18 15:48:24,978:INFO:create_model_container: 30
  10710. 2022-01-18 15:48:24,978:INFO:master_model_container: 30
  10711. 2022-01-18 15:48:24,978:INFO:display_container: 5
  10712. 2022-01-18 15:48:24,979:INFO:ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10713. criterion='entropy', max_depth=11, max_features='sqrt',
  10714. max_leaf_nodes=None, max_samples=None,
  10715. min_impurity_decrease=0.002, min_impurity_split=None,
  10716. min_samples_leaf=5, min_samples_split=9,
  10717. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10718. oob_score=False, random_state=7473, verbose=0,
  10719. warm_start=False)
  10720. 2022-01-18 15:48:24,979:INFO:create_model() succesfully completed......................................
  10721. 2022-01-18 15:48:25,057:INFO:SubProcess create_model() end ==================================
  10722. 2022-01-18 15:48:25,067:INFO:create_model_container: 30
  10723. 2022-01-18 15:48:25,067:INFO:master_model_container: 30
  10724. 2022-01-18 15:48:25,067:INFO:display_container: 5
  10725. 2022-01-18 15:48:25,068:INFO:ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10726. criterion='entropy', max_depth=11, max_features='sqrt',
  10727. max_leaf_nodes=None, max_samples=None,
  10728. min_impurity_decrease=0.002, min_impurity_split=None,
  10729. min_samples_leaf=5, min_samples_split=9,
  10730. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10731. oob_score=False, random_state=7473, verbose=0,
  10732. warm_start=False)
  10733. 2022-01-18 15:48:25,068:INFO:tune_model() succesfully completed......................................
  10734. 2022-01-18 15:48:25,150:INFO:Initializing tune_model()
  10735. 2022-01-18 15:48:25,150:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10736. max_depth=None, max_features=None, max_leaf_nodes=None,
  10737. min_impurity_decrease=0.0, min_impurity_split=None,
  10738. min_samples_leaf=1, min_samples_split=2,
  10739. min_weight_fraction_leaf=0.0, presort='deprecated',
  10740. random_state=7473, splitter='best'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10741. 2022-01-18 15:48:25,151:INFO:Checking exceptions
  10742. 2022-01-18 15:48:25,152:INFO:Preparing display monitor
  10743. 2022-01-18 15:48:25,163:INFO:Copying training dataset
  10744. 2022-01-18 15:48:25,164:INFO:Checking base model
  10745. 2022-01-18 15:48:25,164:INFO:Base model : Decision Tree Classifier
  10746. 2022-01-18 15:48:25,169:INFO:Declaring metric variables
  10747. 2022-01-18 15:48:25,173:INFO:Defining Hyperparameters
  10748. 2022-01-18 15:48:25,273:INFO:Tuning with n_jobs=-1
  10749. 2022-01-18 15:48:25,274:INFO:Initializing RandomizedSearchCV
  10750. 2022-01-18 15:48:25,733:INFO:best_params: {'actual_estimator__min_samples_split': 2, 'actual_estimator__min_samples_leaf': 6, 'actual_estimator__min_impurity_decrease': 0.0005, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 11, 'actual_estimator__criterion': 'gini'}
  10751. 2022-01-18 15:48:25,733:INFO:Hyperparameter search completed
  10752. 2022-01-18 15:48:25,734:INFO:SubProcess create_model() called ==================================
  10753. 2022-01-18 15:48:25,734:INFO:Initializing create_model()
  10754. 2022-01-18 15:48:25,734:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10755. max_depth=None, max_features=None, max_leaf_nodes=None,
  10756. min_impurity_decrease=0.0, min_impurity_split=None,
  10757. min_samples_leaf=1, min_samples_split=2,
  10758. min_weight_fraction_leaf=0.0, presort='deprecated',
  10759. random_state=7473, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582d125b0>, kwargs={'min_samples_split': 2, 'min_samples_leaf': 6, 'min_impurity_decrease': 0.0005, 'max_features': 1.0, 'max_depth': 11, 'criterion': 'gini'})
  10760. 2022-01-18 15:48:25,734:INFO:Checking exceptions
  10761. 2022-01-18 15:48:25,735:INFO:Importing libraries
  10762. 2022-01-18 15:48:25,735:INFO:Copying training dataset
  10763. 2022-01-18 15:48:25,736:INFO:Defining folds
  10764. 2022-01-18 15:48:25,736:INFO:Declaring metric variables
  10765. 2022-01-18 15:48:25,741:INFO:Importing untrained model
  10766. 2022-01-18 15:48:25,741:INFO:Declaring custom model
  10767. 2022-01-18 15:48:25,746:INFO:Decision Tree Classifier Imported succesfully
  10768. 2022-01-18 15:48:25,756:INFO:Starting cross validation
  10769. 2022-01-18 15:48:25,757:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10770. 2022-01-18 15:48:26,246:INFO:Calculating mean and std
  10771. 2022-01-18 15:48:26,246:INFO:Creating metrics dataframe
  10772. 2022-01-18 15:48:26,253:INFO:Finalizing model
  10773. 2022-01-18 15:48:26,298:INFO:Uploading results into container
  10774. 2022-01-18 15:48:26,298:INFO:Uploading model into container now
  10775. 2022-01-18 15:48:26,299:INFO:create_model_container: 31
  10776. 2022-01-18 15:48:26,299:INFO:master_model_container: 31
  10777. 2022-01-18 15:48:26,299:INFO:display_container: 6
  10778. 2022-01-18 15:48:26,299:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10779. max_depth=11, max_features=1.0, max_leaf_nodes=None,
  10780. min_impurity_decrease=0.0005, min_impurity_split=None,
  10781. min_samples_leaf=6, min_samples_split=2,
  10782. min_weight_fraction_leaf=0.0, presort='deprecated',
  10783. random_state=7473, splitter='best')
  10784. 2022-01-18 15:48:26,299:INFO:create_model() succesfully completed......................................
  10785. 2022-01-18 15:48:26,385:INFO:SubProcess create_model() end ==================================
  10786. 2022-01-18 15:48:26,395:INFO:create_model_container: 31
  10787. 2022-01-18 15:48:26,396:INFO:master_model_container: 31
  10788. 2022-01-18 15:48:26,396:INFO:display_container: 6
  10789. 2022-01-18 15:48:26,396:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  10790. max_depth=11, max_features=1.0, max_leaf_nodes=None,
  10791. min_impurity_decrease=0.0005, min_impurity_split=None,
  10792. min_samples_leaf=6, min_samples_split=2,
  10793. min_weight_fraction_leaf=0.0, presort='deprecated',
  10794. random_state=7473, splitter='best')
  10795. 2022-01-18 15:48:26,396:INFO:tune_model() succesfully completed......................................
  10796. 2022-01-18 15:48:26,481:INFO:Initializing tune_model()
  10797. 2022-01-18 15:48:26,482:INFO:tune_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10798. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10799. weights='uniform'), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10800. 2022-01-18 15:48:26,482:INFO:Checking exceptions
  10801. 2022-01-18 15:48:26,483:INFO:Preparing display monitor
  10802. 2022-01-18 15:48:26,494:INFO:Copying training dataset
  10803. 2022-01-18 15:48:26,495:INFO:Checking base model
  10804. 2022-01-18 15:48:26,495:INFO:Base model : K Neighbors Classifier
  10805. 2022-01-18 15:48:26,500:INFO:Declaring metric variables
  10806. 2022-01-18 15:48:26,505:INFO:Defining Hyperparameters
  10807. 2022-01-18 15:48:26,594:INFO:Tuning with n_jobs=-1
  10808. 2022-01-18 15:48:26,595:INFO:Initializing RandomizedSearchCV
  10809. 2022-01-18 15:49:12,011:INFO:best_params: {'actual_estimator__weights': 'distance', 'actual_estimator__n_neighbors': 32, 'actual_estimator__metric': 'manhattan'}
  10810. 2022-01-18 15:49:12,012:INFO:Hyperparameter search completed
  10811. 2022-01-18 15:49:12,012:INFO:SubProcess create_model() called ==================================
  10812. 2022-01-18 15:49:12,013:INFO:Initializing create_model()
  10813. 2022-01-18 15:49:12,013:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  10814. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  10815. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385a8b0>, kwargs={'weights': 'distance', 'n_neighbors': 32, 'metric': 'manhattan'})
  10816. 2022-01-18 15:49:12,013:INFO:Checking exceptions
  10817. 2022-01-18 15:49:12,014:INFO:Importing libraries
  10818. 2022-01-18 15:49:12,014:INFO:Copying training dataset
  10819. 2022-01-18 15:49:12,016:INFO:Defining folds
  10820. 2022-01-18 15:49:12,016:INFO:Declaring metric variables
  10821. 2022-01-18 15:49:12,024:INFO:Importing untrained model
  10822. 2022-01-18 15:49:12,024:INFO:Declaring custom model
  10823. 2022-01-18 15:49:12,030:INFO:K Neighbors Classifier Imported succesfully
  10824. 2022-01-18 15:49:12,043:INFO:Starting cross validation
  10825. 2022-01-18 15:49:12,044:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10826. 2022-01-18 15:49:31,378:INFO:Calculating mean and std
  10827. 2022-01-18 15:49:31,379:INFO:Creating metrics dataframe
  10828. 2022-01-18 15:49:31,386:INFO:Finalizing model
  10829. 2022-01-18 15:49:32,865:INFO:Uploading results into container
  10830. 2022-01-18 15:49:32,866:INFO:Uploading model into container now
  10831. 2022-01-18 15:49:32,866:INFO:create_model_container: 32
  10832. 2022-01-18 15:49:32,866:INFO:master_model_container: 32
  10833. 2022-01-18 15:49:32,866:INFO:display_container: 7
  10834. 2022-01-18 15:49:32,867:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
  10835. metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
  10836. weights='distance')
  10837. 2022-01-18 15:49:32,867:INFO:create_model() succesfully completed......................................
  10838. 2022-01-18 15:49:32,961:INFO:SubProcess create_model() end ==================================
  10839. 2022-01-18 15:49:32,971:INFO:create_model_container: 32
  10840. 2022-01-18 15:49:32,971:INFO:master_model_container: 32
  10841. 2022-01-18 15:49:32,971:INFO:display_container: 7
  10842. 2022-01-18 15:49:32,972:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
  10843. metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
  10844. weights='distance')
  10845. 2022-01-18 15:49:32,972:INFO:tune_model() succesfully completed......................................
  10846. 2022-01-18 15:49:33,065:INFO:Initializing tune_model()
  10847. 2022-01-18 15:49:33,065:INFO:tune_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10848. importance_type='split', learning_rate=0.1, max_depth=-1,
  10849. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10850. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10851. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10852. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10853. 2022-01-18 15:49:33,065:INFO:Checking exceptions
  10854. 2022-01-18 15:49:33,066:INFO:Preparing display monitor
  10855. 2022-01-18 15:49:33,077:INFO:Copying training dataset
  10856. 2022-01-18 15:49:33,079:INFO:Checking base model
  10857. 2022-01-18 15:49:33,079:INFO:Base model : Light Gradient Boosting Machine
  10858. 2022-01-18 15:49:33,084:INFO:Declaring metric variables
  10859. 2022-01-18 15:49:33,089:INFO:Defining Hyperparameters
  10860. 2022-01-18 15:49:33,178:INFO:Tuning with n_jobs=-1
  10861. 2022-01-18 15:49:33,178:INFO:Initializing RandomizedSearchCV
  10862. 2022-01-18 15:49:38,670:INFO:best_params: {'actual_estimator__reg_lambda': 0.0005, 'actual_estimator__reg_alpha': 0.4, 'actual_estimator__num_leaves': 90, 'actual_estimator__n_estimators': 120, 'actual_estimator__min_split_gain': 0.5, 'actual_estimator__min_child_samples': 61, 'actual_estimator__learning_rate': 0.15, 'actual_estimator__feature_fraction': 0.9, 'actual_estimator__bagging_freq': 3, 'actual_estimator__bagging_fraction': 0.5}
  10863. 2022-01-18 15:49:38,670:INFO:Hyperparameter search completed
  10864. 2022-01-18 15:49:38,671:INFO:SubProcess create_model() called ==================================
  10865. 2022-01-18 15:49:38,671:INFO:Initializing create_model()
  10866. 2022-01-18 15:49:38,671:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  10867. importance_type='split', learning_rate=0.1, max_depth=-1,
  10868. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  10869. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  10870. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  10871. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8584430fd0>, kwargs={'reg_lambda': 0.0005, 'reg_alpha': 0.4, 'num_leaves': 90, 'n_estimators': 120, 'min_split_gain': 0.5, 'min_child_samples': 61, 'learning_rate': 0.15, 'feature_fraction': 0.9, 'bagging_freq': 3, 'bagging_fraction': 0.5})
  10872. 2022-01-18 15:49:38,672:INFO:Checking exceptions
  10873. 2022-01-18 15:49:38,672:INFO:Importing libraries
  10874. 2022-01-18 15:49:38,672:INFO:Copying training dataset
  10875. 2022-01-18 15:49:38,674:INFO:Defining folds
  10876. 2022-01-18 15:49:38,674:INFO:Declaring metric variables
  10877. 2022-01-18 15:49:38,680:INFO:Importing untrained model
  10878. 2022-01-18 15:49:38,680:INFO:Declaring custom model
  10879. 2022-01-18 15:49:38,685:INFO:Light Gradient Boosting Machine Imported succesfully
  10880. 2022-01-18 15:49:38,695:INFO:Starting cross validation
  10881. 2022-01-18 15:49:38,696:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10882. 2022-01-18 15:49:45,456:INFO:Calculating mean and std
  10883. 2022-01-18 15:49:45,457:INFO:Creating metrics dataframe
  10884. 2022-01-18 15:49:45,465:INFO:Finalizing model
  10885. 2022-01-18 15:49:46,425:INFO:Uploading results into container
  10886. 2022-01-18 15:49:46,426:INFO:Uploading model into container now
  10887. 2022-01-18 15:49:46,426:INFO:create_model_container: 33
  10888. 2022-01-18 15:49:46,426:INFO:master_model_container: 33
  10889. 2022-01-18 15:49:46,427:INFO:display_container: 8
  10890. 2022-01-18 15:49:46,428:INFO:LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
  10891. class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
  10892. importance_type='split', learning_rate=0.15, max_depth=-1,
  10893. min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
  10894. n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
  10895. random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
  10896. silent='warn', subsample=1.0, subsample_for_bin=200000,
  10897. subsample_freq=0)
  10898. 2022-01-18 15:49:46,428:INFO:create_model() succesfully completed......................................
  10899. 2022-01-18 15:49:46,515:INFO:SubProcess create_model() end ==================================
  10900. 2022-01-18 15:49:46,525:INFO:create_model_container: 33
  10901. 2022-01-18 15:49:46,526:INFO:master_model_container: 33
  10902. 2022-01-18 15:49:46,526:INFO:display_container: 8
  10903. 2022-01-18 15:49:46,527:INFO:LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
  10904. class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
  10905. importance_type='split', learning_rate=0.15, max_depth=-1,
  10906. min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
  10907. n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
  10908. random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
  10909. silent='warn', subsample=1.0, subsample_for_bin=200000,
  10910. subsample_freq=0)
  10911. 2022-01-18 15:49:46,527:INFO:tune_model() succesfully completed......................................
  10912. 2022-01-18 15:49:46,612:INFO:Initializing tune_model()
  10913. 2022-01-18 15:49:46,612:INFO:tune_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10914. learning_rate=0.1, loss='deviance', max_depth=3,
  10915. max_features=None, max_leaf_nodes=None,
  10916. min_impurity_decrease=0.0, min_impurity_split=None,
  10917. min_samples_leaf=1, min_samples_split=2,
  10918. min_weight_fraction_leaf=0.0, n_estimators=100,
  10919. n_iter_no_change=None, presort='deprecated',
  10920. random_state=7473, subsample=1.0, tol=0.0001,
  10921. validation_fraction=0.1, verbose=0,
  10922. warm_start=False), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  10923. 2022-01-18 15:49:46,612:INFO:Checking exceptions
  10924. 2022-01-18 15:49:46,613:INFO:Preparing display monitor
  10925. 2022-01-18 15:49:46,624:INFO:Copying training dataset
  10926. 2022-01-18 15:49:46,625:INFO:Checking base model
  10927. 2022-01-18 15:49:46,625:INFO:Base model : Gradient Boosting Classifier
  10928. 2022-01-18 15:49:46,631:INFO:Declaring metric variables
  10929. 2022-01-18 15:49:46,636:INFO:Defining Hyperparameters
  10930. 2022-01-18 15:49:46,726:INFO:Tuning with n_jobs=-1
  10931. 2022-01-18 15:49:46,726:INFO:Initializing RandomizedSearchCV
  10932. 2022-01-18 15:50:10,793:INFO:best_params: {'actual_estimator__subsample': 0.75, 'actual_estimator__n_estimators': 60, 'actual_estimator__min_samples_split': 2, 'actual_estimator__min_samples_leaf': 5, 'actual_estimator__min_impurity_decrease': 0.1, 'actual_estimator__max_features': 1.0, 'actual_estimator__max_depth': 11, 'actual_estimator__learning_rate': 0.2}
  10933. 2022-01-18 15:50:10,794:INFO:Hyperparameter search completed
  10934. 2022-01-18 15:50:10,794:INFO:SubProcess create_model() called ==================================
  10935. 2022-01-18 15:50:10,795:INFO:Initializing create_model()
  10936. 2022-01-18 15:50:10,795:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10937. learning_rate=0.1, loss='deviance', max_depth=3,
  10938. max_features=None, max_leaf_nodes=None,
  10939. min_impurity_decrease=0.0, min_impurity_split=None,
  10940. min_samples_leaf=1, min_samples_split=2,
  10941. min_weight_fraction_leaf=0.0, n_estimators=100,
  10942. n_iter_no_change=None, presort='deprecated',
  10943. random_state=7473, subsample=1.0, tol=0.0001,
  10944. validation_fraction=0.1, verbose=0,
  10945. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385a220>, kwargs={'subsample': 0.75, 'n_estimators': 60, 'min_samples_split': 2, 'min_samples_leaf': 5, 'min_impurity_decrease': 0.1, 'max_features': 1.0, 'max_depth': 11, 'learning_rate': 0.2})
  10946. 2022-01-18 15:50:10,795:INFO:Checking exceptions
  10947. 2022-01-18 15:50:10,796:INFO:Importing libraries
  10948. 2022-01-18 15:50:10,796:INFO:Copying training dataset
  10949. 2022-01-18 15:50:10,798:INFO:Defining folds
  10950. 2022-01-18 15:50:10,798:INFO:Declaring metric variables
  10951. 2022-01-18 15:50:10,804:INFO:Importing untrained model
  10952. 2022-01-18 15:50:10,804:INFO:Declaring custom model
  10953. 2022-01-18 15:50:10,810:INFO:Gradient Boosting Classifier Imported succesfully
  10954. 2022-01-18 15:50:10,821:INFO:Starting cross validation
  10955. 2022-01-18 15:50:10,821:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  10956. 2022-01-18 15:50:28,561:INFO:Calculating mean and std
  10957. 2022-01-18 15:50:28,562:INFO:Creating metrics dataframe
  10958. 2022-01-18 15:50:28,569:INFO:Finalizing model
  10959. 2022-01-18 15:50:30,563:INFO:Uploading results into container
  10960. 2022-01-18 15:50:30,563:INFO:Uploading model into container now
  10961. 2022-01-18 15:50:30,563:INFO:create_model_container: 34
  10962. 2022-01-18 15:50:30,564:INFO:master_model_container: 34
  10963. 2022-01-18 15:50:30,564:INFO:display_container: 9
  10964. 2022-01-18 15:50:30,564:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10965. learning_rate=0.2, loss='deviance', max_depth=11,
  10966. max_features=1.0, max_leaf_nodes=None,
  10967. min_impurity_decrease=0.1, min_impurity_split=None,
  10968. min_samples_leaf=5, min_samples_split=2,
  10969. min_weight_fraction_leaf=0.0, n_estimators=60,
  10970. n_iter_no_change=None, presort='deprecated',
  10971. random_state=7473, subsample=0.75, tol=0.0001,
  10972. validation_fraction=0.1, verbose=0,
  10973. warm_start=False)
  10974. 2022-01-18 15:50:30,564:INFO:create_model() succesfully completed......................................
  10975. 2022-01-18 15:50:30,648:INFO:SubProcess create_model() end ==================================
  10976. 2022-01-18 15:50:30,658:INFO:create_model_container: 34
  10977. 2022-01-18 15:50:30,658:INFO:master_model_container: 34
  10978. 2022-01-18 15:50:30,659:INFO:display_container: 9
  10979. 2022-01-18 15:50:30,659:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  10980. learning_rate=0.2, loss='deviance', max_depth=11,
  10981. max_features=1.0, max_leaf_nodes=None,
  10982. min_impurity_decrease=0.1, min_impurity_split=None,
  10983. min_samples_leaf=5, min_samples_split=2,
  10984. min_weight_fraction_leaf=0.0, n_estimators=60,
  10985. n_iter_no_change=None, presort='deprecated',
  10986. random_state=7473, subsample=0.75, tol=0.0001,
  10987. validation_fraction=0.1, verbose=0,
  10988. warm_start=False)
  10989. 2022-01-18 15:50:30,659:INFO:tune_model() succesfully completed......................................
  10990. 2022-01-18 15:51:00,750:INFO:Initializing ensemble_model()
  10991. 2022-01-18 15:51:00,751:INFO:ensemble_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  10992. criterion='entropy', max_depth=11, max_features='sqrt',
  10993. max_leaf_nodes=None, max_samples=None,
  10994. min_impurity_decrease=0.002, min_impurity_split=None,
  10995. min_samples_leaf=5, min_samples_split=9,
  10996. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  10997. oob_score=False, random_state=7473, verbose=0,
  10998. warm_start=False), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  10999. 2022-01-18 15:51:00,751:INFO:Checking exceptions
  11000. 2022-01-18 15:51:00,752:INFO:Preparing display monitor
  11001. 2022-01-18 15:51:00,764:INFO:Importing libraries
  11002. 2022-01-18 15:51:00,764:INFO:Copying training dataset
  11003. 2022-01-18 15:51:00,766:INFO:Checking base model
  11004. 2022-01-18 15:51:00,766:INFO:Base model : Random Forest Classifier
  11005. 2022-01-18 15:51:00,776:INFO:Importing untrained ensembler
  11006. 2022-01-18 15:51:00,777:INFO:Ensemble method set to Bagging
  11007. 2022-01-18 15:51:00,777:INFO:SubProcess create_model() called ==================================
  11008. 2022-01-18 15:51:00,778:INFO:Initializing create_model()
  11009. 2022-01-18 15:51:00,778:INFO:create_model(estimator=BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
  11010. ccp_alpha=0.0,
  11011. class_weight={},
  11012. criterion='entropy',
  11013. max_depth=11,
  11014. max_features='sqrt',
  11015. max_leaf_nodes=None,
  11016. max_samples=None,
  11017. min_impurity_decrease=0.002,
  11018. min_impurity_split=None,
  11019. min_samples_leaf=5,
  11020. min_samples_split=9,
  11021. min_weight_fraction_leaf=0.0,
  11022. n_estimators=30,
  11023. n_jobs=-1,
  11024. oob_score=False,
  11025. random_state=7473,
  11026. verbose=0,
  11027. warm_start=False),
  11028. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11029. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11030. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582a375e0>, kwargs={})
  11031. 2022-01-18 15:51:00,778:INFO:Checking exceptions
  11032. 2022-01-18 15:51:00,779:INFO:Importing libraries
  11033. 2022-01-18 15:51:00,779:INFO:Copying training dataset
  11034. 2022-01-18 15:51:00,780:INFO:Defining folds
  11035. 2022-01-18 15:51:00,780:INFO:Declaring metric variables
  11036. 2022-01-18 15:51:00,785:INFO:Importing untrained model
  11037. 2022-01-18 15:51:00,786:INFO:Declaring custom model
  11038. 2022-01-18 15:51:00,791:INFO:Random Forest Classifier Imported succesfully
  11039. 2022-01-18 15:51:00,804:INFO:Starting cross validation
  11040. 2022-01-18 15:51:00,805:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11041. 2022-01-18 15:51:19,688:INFO:Calculating mean and std
  11042. 2022-01-18 15:51:19,689:INFO:Creating metrics dataframe
  11043. 2022-01-18 15:51:19,696:INFO:Finalizing model
  11044. 2022-01-18 15:51:21,400:INFO:Uploading results into container
  11045. 2022-01-18 15:51:21,400:INFO:Uploading model into container now
  11046. 2022-01-18 15:51:21,400:INFO:create_model_container: 35
  11047. 2022-01-18 15:51:21,400:INFO:master_model_container: 35
  11048. 2022-01-18 15:51:21,401:INFO:display_container: 10
  11049. 2022-01-18 15:51:21,401:INFO:BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
  11050. ccp_alpha=0.0,
  11051. class_weight={},
  11052. criterion='entropy',
  11053. max_depth=11,
  11054. max_features='sqrt',
  11055. max_leaf_nodes=None,
  11056. max_samples=None,
  11057. min_impurity_decrease=0.002,
  11058. min_impurity_split=None,
  11059. min_samples_leaf=5,
  11060. min_samples_split=9,
  11061. min_weight_fraction_leaf=0.0,
  11062. n_estimators=30,
  11063. n_jobs=-1,
  11064. oob_score=False,
  11065. random_state=7473,
  11066. verbose=0,
  11067. warm_start=False),
  11068. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11069. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11070. random_state=7473, verbose=0, warm_start=False)
  11071. 2022-01-18 15:51:21,402:INFO:create_model() succesfully completed......................................
  11072. 2022-01-18 15:51:21,487:INFO:SubProcess create_model() end ==================================
  11073. 2022-01-18 15:51:21,497:INFO:create_model_container: 35
  11074. 2022-01-18 15:51:21,497:INFO:master_model_container: 35
  11075. 2022-01-18 15:51:21,497:INFO:display_container: 10
  11076. 2022-01-18 15:51:21,498:INFO:BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
  11077. ccp_alpha=0.0,
  11078. class_weight={},
  11079. criterion='entropy',
  11080. max_depth=11,
  11081. max_features='sqrt',
  11082. max_leaf_nodes=None,
  11083. max_samples=None,
  11084. min_impurity_decrease=0.002,
  11085. min_impurity_split=None,
  11086. min_samples_leaf=5,
  11087. min_samples_split=9,
  11088. min_weight_fraction_leaf=0.0,
  11089. n_estimators=30,
  11090. n_jobs=-1,
  11091. oob_score=False,
  11092. random_state=7473,
  11093. verbose=0,
  11094. warm_start=False),
  11095. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11096. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11097. random_state=7473, verbose=0, warm_start=False)
  11098. 2022-01-18 15:51:21,498:INFO:ensemble_model() succesfully completed......................................
  11099. 2022-01-18 15:51:21,585:INFO:Initializing ensemble_model()
  11100. 2022-01-18 15:51:21,585:INFO:ensemble_model(estimator=ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
  11101. criterion='entropy', max_depth=11, max_features='sqrt',
  11102. max_leaf_nodes=None, max_samples=None,
  11103. min_impurity_decrease=0.002, min_impurity_split=None,
  11104. min_samples_leaf=5, min_samples_split=9,
  11105. min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
  11106. oob_score=False, random_state=7473, verbose=0,
  11107. warm_start=False), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11108. 2022-01-18 15:51:21,585:INFO:Checking exceptions
  11109. 2022-01-18 15:51:21,586:INFO:Preparing display monitor
  11110. 2022-01-18 15:51:21,597:INFO:Importing libraries
  11111. 2022-01-18 15:51:21,597:INFO:Copying training dataset
  11112. 2022-01-18 15:51:21,598:INFO:Checking base model
  11113. 2022-01-18 15:51:21,598:INFO:Base model : Extra Trees Classifier
  11114. 2022-01-18 15:51:21,608:INFO:Importing untrained ensembler
  11115. 2022-01-18 15:51:21,608:INFO:Ensemble method set to Bagging
  11116. 2022-01-18 15:51:21,609:INFO:SubProcess create_model() called ==================================
  11117. 2022-01-18 15:51:21,610:INFO:Initializing create_model()
  11118. 2022-01-18 15:51:21,610:INFO:create_model(estimator=BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
  11119. ccp_alpha=0.0,
  11120. class_weight={},
  11121. criterion='entropy',
  11122. max_depth=11,
  11123. max_features='sqrt',
  11124. max_leaf_nodes=None,
  11125. max_samples=None,
  11126. min_impurity_decrease=0.002,
  11127. min_impurity_split=None,
  11128. min_samples_leaf=5,
  11129. min_samples_split=9,
  11130. min_weight_fraction_leaf=0.0,
  11131. n_estimators=30,
  11132. n_jobs=-1,
  11133. oob_score=False,
  11134. random_state=7473,
  11135. verbose=0,
  11136. warm_start=False),
  11137. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11138. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11139. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8583851ee0>, kwargs={})
  11140. 2022-01-18 15:51:21,610:INFO:Checking exceptions
  11141. 2022-01-18 15:51:21,610:INFO:Importing libraries
  11142. 2022-01-18 15:51:21,610:INFO:Copying training dataset
  11143. 2022-01-18 15:51:21,611:INFO:Defining folds
  11144. 2022-01-18 15:51:21,612:INFO:Declaring metric variables
  11145. 2022-01-18 15:51:21,616:INFO:Importing untrained model
  11146. 2022-01-18 15:51:21,617:INFO:Declaring custom model
  11147. 2022-01-18 15:51:21,622:INFO:Extra Trees Classifier Imported succesfully
  11148. 2022-01-18 15:51:21,632:INFO:Starting cross validation
  11149. 2022-01-18 15:51:21,633:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11150. 2022-01-18 15:51:40,344:INFO:Calculating mean and std
  11151. 2022-01-18 15:51:40,345:INFO:Creating metrics dataframe
  11152. 2022-01-18 15:51:40,352:INFO:Finalizing model
  11153. 2022-01-18 15:51:42,023:INFO:Uploading results into container
  11154. 2022-01-18 15:51:42,024:INFO:Uploading model into container now
  11155. 2022-01-18 15:51:42,024:INFO:create_model_container: 36
  11156. 2022-01-18 15:51:42,024:INFO:master_model_container: 36
  11157. 2022-01-18 15:51:42,024:INFO:display_container: 11
  11158. 2022-01-18 15:51:42,025:INFO:BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
  11159. ccp_alpha=0.0,
  11160. class_weight={},
  11161. criterion='entropy',
  11162. max_depth=11,
  11163. max_features='sqrt',
  11164. max_leaf_nodes=None,
  11165. max_samples=None,
  11166. min_impurity_decrease=0.002,
  11167. min_impurity_split=None,
  11168. min_samples_leaf=5,
  11169. min_samples_split=9,
  11170. min_weight_fraction_leaf=0.0,
  11171. n_estimators=30,
  11172. n_jobs=-1,
  11173. oob_score=False,
  11174. random_state=7473,
  11175. verbose=0,
  11176. warm_start=False),
  11177. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11178. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11179. random_state=7473, verbose=0, warm_start=False)
  11180. 2022-01-18 15:51:42,025:INFO:create_model() succesfully completed......................................
  11181. 2022-01-18 15:51:42,108:INFO:SubProcess create_model() end ==================================
  11182. 2022-01-18 15:51:42,117:INFO:create_model_container: 36
  11183. 2022-01-18 15:51:42,118:INFO:master_model_container: 36
  11184. 2022-01-18 15:51:42,118:INFO:display_container: 11
  11185. 2022-01-18 15:51:42,119:INFO:BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
  11186. ccp_alpha=0.0,
  11187. class_weight={},
  11188. criterion='entropy',
  11189. max_depth=11,
  11190. max_features='sqrt',
  11191. max_leaf_nodes=None,
  11192. max_samples=None,
  11193. min_impurity_decrease=0.002,
  11194. min_impurity_split=None,
  11195. min_samples_leaf=5,
  11196. min_samples_split=9,
  11197. min_weight_fraction_leaf=0.0,
  11198. n_estimators=30,
  11199. n_jobs=-1,
  11200. oob_score=False,
  11201. random_state=7473,
  11202. verbose=0,
  11203. warm_start=False),
  11204. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11205. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11206. random_state=7473, verbose=0, warm_start=False)
  11207. 2022-01-18 15:51:42,119:INFO:ensemble_model() succesfully completed......................................
  11208. 2022-01-18 15:51:42,205:INFO:Initializing ensemble_model()
  11209. 2022-01-18 15:51:42,205:INFO:ensemble_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  11210. max_depth=11, max_features=1.0, max_leaf_nodes=None,
  11211. min_impurity_decrease=0.0005, min_impurity_split=None,
  11212. min_samples_leaf=6, min_samples_split=2,
  11213. min_weight_fraction_leaf=0.0, presort='deprecated',
  11214. random_state=7473, splitter='best'), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11215. 2022-01-18 15:51:42,205:INFO:Checking exceptions
  11216. 2022-01-18 15:51:42,206:INFO:Preparing display monitor
  11217. 2022-01-18 15:51:42,217:INFO:Importing libraries
  11218. 2022-01-18 15:51:42,217:INFO:Copying training dataset
  11219. 2022-01-18 15:51:42,218:INFO:Checking base model
  11220. 2022-01-18 15:51:42,218:INFO:Base model : Decision Tree Classifier
  11221. 2022-01-18 15:51:42,228:INFO:Importing untrained ensembler
  11222. 2022-01-18 15:51:42,228:INFO:Ensemble method set to Bagging
  11223. 2022-01-18 15:51:42,228:INFO:SubProcess create_model() called ==================================
  11224. 2022-01-18 15:51:42,229:INFO:Initializing create_model()
  11225. 2022-01-18 15:51:42,229:INFO:create_model(estimator=BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
  11226. class_weight=None,
  11227. criterion='gini',
  11228. max_depth=11,
  11229. max_features=1.0,
  11230. max_leaf_nodes=None,
  11231. min_impurity_decrease=0.0005,
  11232. min_impurity_split=None,
  11233. min_samples_leaf=6,
  11234. min_samples_split=2,
  11235. min_weight_fraction_leaf=0.0,
  11236. presort='deprecated',
  11237. random_state=7473,
  11238. splitter='best'),
  11239. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11240. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11241. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582a567f0>, kwargs={})
  11242. 2022-01-18 15:51:42,229:INFO:Checking exceptions
  11243. 2022-01-18 15:51:42,229:INFO:Importing libraries
  11244. 2022-01-18 15:51:42,230:INFO:Copying training dataset
  11245. 2022-01-18 15:51:42,231:INFO:Defining folds
  11246. 2022-01-18 15:51:42,231:INFO:Declaring metric variables
  11247. 2022-01-18 15:51:42,236:INFO:Importing untrained model
  11248. 2022-01-18 15:51:42,236:INFO:Declaring custom model
  11249. 2022-01-18 15:51:42,241:INFO:Decision Tree Classifier Imported succesfully
  11250. 2022-01-18 15:51:42,252:INFO:Starting cross validation
  11251. 2022-01-18 15:51:42,252:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11252. 2022-01-18 15:51:45,143:INFO:Calculating mean and std
  11253. 2022-01-18 15:51:45,143:INFO:Creating metrics dataframe
  11254. 2022-01-18 15:51:45,150:INFO:Finalizing model
  11255. 2022-01-18 15:51:45,443:INFO:Uploading results into container
  11256. 2022-01-18 15:51:45,443:INFO:Uploading model into container now
  11257. 2022-01-18 15:51:45,443:INFO:create_model_container: 37
  11258. 2022-01-18 15:51:45,443:INFO:master_model_container: 37
  11259. 2022-01-18 15:51:45,444:INFO:display_container: 12
  11260. 2022-01-18 15:51:45,444:INFO:BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
  11261. class_weight=None,
  11262. criterion='gini',
  11263. max_depth=11,
  11264. max_features=1.0,
  11265. max_leaf_nodes=None,
  11266. min_impurity_decrease=0.0005,
  11267. min_impurity_split=None,
  11268. min_samples_leaf=6,
  11269. min_samples_split=2,
  11270. min_weight_fraction_leaf=0.0,
  11271. presort='deprecated',
  11272. random_state=7473,
  11273. splitter='best'),
  11274. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11275. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11276. random_state=7473, verbose=0, warm_start=False)
  11277. 2022-01-18 15:51:45,445:INFO:create_model() succesfully completed......................................
  11278. 2022-01-18 15:51:45,528:INFO:SubProcess create_model() end ==================================
  11279. 2022-01-18 15:51:45,539:INFO:create_model_container: 37
  11280. 2022-01-18 15:51:45,539:INFO:master_model_container: 37
  11281. 2022-01-18 15:51:45,539:INFO:display_container: 12
  11282. 2022-01-18 15:51:45,540:INFO:BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
  11283. class_weight=None,
  11284. criterion='gini',
  11285. max_depth=11,
  11286. max_features=1.0,
  11287. max_leaf_nodes=None,
  11288. min_impurity_decrease=0.0005,
  11289. min_impurity_split=None,
  11290. min_samples_leaf=6,
  11291. min_samples_split=2,
  11292. min_weight_fraction_leaf=0.0,
  11293. presort='deprecated',
  11294. random_state=7473,
  11295. splitter='best'),
  11296. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11297. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11298. random_state=7473, verbose=0, warm_start=False)
  11299. 2022-01-18 15:51:45,540:INFO:ensemble_model() succesfully completed......................................
  11300. 2022-01-18 15:51:45,624:INFO:Initializing ensemble_model()
  11301. 2022-01-18 15:51:45,625:INFO:ensemble_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
  11302. metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
  11303. weights='distance'), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11304. 2022-01-18 15:51:45,625:INFO:Checking exceptions
  11305. 2022-01-18 15:51:45,626:INFO:Preparing display monitor
  11306. 2022-01-18 15:51:45,636:INFO:Importing libraries
  11307. 2022-01-18 15:51:45,637:INFO:Copying training dataset
  11308. 2022-01-18 15:51:45,638:INFO:Checking base model
  11309. 2022-01-18 15:51:45,638:INFO:Base model : K Neighbors Classifier
  11310. 2022-01-18 15:51:45,647:INFO:Importing untrained ensembler
  11311. 2022-01-18 15:51:45,648:INFO:Ensemble method set to Bagging
  11312. 2022-01-18 15:51:45,648:INFO:SubProcess create_model() called ==================================
  11313. 2022-01-18 15:51:45,649:INFO:Initializing create_model()
  11314. 2022-01-18 15:51:45,649:INFO:create_model(estimator=BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
  11315. leaf_size=30,
  11316. metric='manhattan',
  11317. metric_params=None,
  11318. n_jobs=-1, n_neighbors=32,
  11319. p=2, weights='distance'),
  11320. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11321. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11322. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8582e5c820>, kwargs={})
  11323. 2022-01-18 15:51:45,649:INFO:Checking exceptions
  11324. 2022-01-18 15:51:45,649:INFO:Importing libraries
  11325. 2022-01-18 15:51:45,650:INFO:Copying training dataset
  11326. 2022-01-18 15:51:45,651:INFO:Defining folds
  11327. 2022-01-18 15:51:45,651:INFO:Declaring metric variables
  11328. 2022-01-18 15:51:45,656:INFO:Importing untrained model
  11329. 2022-01-18 15:51:45,656:INFO:Declaring custom model
  11330. 2022-01-18 15:51:45,662:INFO:K Neighbors Classifier Imported succesfully
  11331. 2022-01-18 15:51:45,673:INFO:Starting cross validation
  11332. 2022-01-18 15:51:45,673:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11333. 2022-01-18 15:54:41,160:INFO:Calculating mean and std
  11334. 2022-01-18 15:54:41,161:INFO:Creating metrics dataframe
  11335. 2022-01-18 15:54:41,168:INFO:Finalizing model
  11336. 2022-01-18 15:54:55,488:INFO:Uploading results into container
  11337. 2022-01-18 15:54:55,489:INFO:Uploading model into container now
  11338. 2022-01-18 15:54:55,489:INFO:create_model_container: 38
  11339. 2022-01-18 15:54:55,489:INFO:master_model_container: 38
  11340. 2022-01-18 15:54:55,489:INFO:display_container: 13
  11341. 2022-01-18 15:54:55,490:INFO:BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
  11342. leaf_size=30,
  11343. metric='manhattan',
  11344. metric_params=None,
  11345. n_jobs=-1, n_neighbors=32,
  11346. p=2, weights='distance'),
  11347. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11348. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11349. random_state=7473, verbose=0, warm_start=False)
  11350. 2022-01-18 15:54:55,490:INFO:create_model() succesfully completed......................................
  11351. 2022-01-18 15:54:55,575:INFO:SubProcess create_model() end ==================================
  11352. 2022-01-18 15:54:55,585:INFO:create_model_container: 38
  11353. 2022-01-18 15:54:55,585:INFO:master_model_container: 38
  11354. 2022-01-18 15:54:55,586:INFO:display_container: 13
  11355. 2022-01-18 15:54:55,586:INFO:BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
  11356. leaf_size=30,
  11357. metric='manhattan',
  11358. metric_params=None,
  11359. n_jobs=-1, n_neighbors=32,
  11360. p=2, weights='distance'),
  11361. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11362. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11363. random_state=7473, verbose=0, warm_start=False)
  11364. 2022-01-18 15:54:55,586:INFO:ensemble_model() succesfully completed......................................
  11365. 2022-01-18 15:54:55,680:INFO:Initializing ensemble_model()
  11366. 2022-01-18 15:54:55,681:INFO:ensemble_model(estimator=LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
  11367. class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
  11368. importance_type='split', learning_rate=0.15, max_depth=-1,
  11369. min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
  11370. n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
  11371. random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
  11372. silent='warn', subsample=1.0, subsample_for_bin=200000,
  11373. subsample_freq=0), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11374. 2022-01-18 15:54:55,681:INFO:Checking exceptions
  11375. 2022-01-18 15:54:55,682:INFO:Preparing display monitor
  11376. 2022-01-18 15:54:55,692:INFO:Importing libraries
  11377. 2022-01-18 15:54:55,692:INFO:Copying training dataset
  11378. 2022-01-18 15:54:55,694:INFO:Checking base model
  11379. 2022-01-18 15:54:55,694:INFO:Base model : Light Gradient Boosting Machine
  11380. 2022-01-18 15:54:55,704:INFO:Importing untrained ensembler
  11381. 2022-01-18 15:54:55,704:INFO:Ensemble method set to Bagging
  11382. 2022-01-18 15:54:55,705:INFO:SubProcess create_model() called ==================================
  11383. 2022-01-18 15:54:55,706:INFO:Initializing create_model()
  11384. 2022-01-18 15:54:55,706:INFO:create_model(estimator=BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
  11385. bagging_freq=3,
  11386. boosting_type='gbdt',
  11387. class_weight=None,
  11388. colsample_bytree=1.0,
  11389. feature_fraction=0.9,
  11390. importance_type='split',
  11391. learning_rate=0.15,
  11392. max_depth=-1,
  11393. min_child_samples=61,
  11394. min_child_weight=0.001,
  11395. min_split_gain=0.5,
  11396. n_estimators=120, n_jobs=-1,
  11397. num_leaves=90, objective=None,
  11398. random_state=7473,
  11399. reg_alpha=0.4,
  11400. reg_lambda=0.0005,
  11401. silent='warn', subsample=1.0,
  11402. subsample_for_bin=200000,
  11403. subsample_freq=0),
  11404. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11405. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11406. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8584510d90>, kwargs={})
  11407. 2022-01-18 15:54:55,706:INFO:Checking exceptions
  11408. 2022-01-18 15:54:55,707:INFO:Importing libraries
  11409. 2022-01-18 15:54:55,707:INFO:Copying training dataset
  11410. 2022-01-18 15:54:55,708:INFO:Defining folds
  11411. 2022-01-18 15:54:55,708:INFO:Declaring metric variables
  11412. 2022-01-18 15:54:55,713:INFO:Importing untrained model
  11413. 2022-01-18 15:54:55,713:INFO:Declaring custom model
  11414. 2022-01-18 15:54:55,719:INFO:Light Gradient Boosting Machine Imported succesfully
  11415. 2022-01-18 15:54:55,729:INFO:Starting cross validation
  11416. 2022-01-18 15:54:55,730:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11417. 2022-01-18 15:55:56,691:INFO:Calculating mean and std
  11418. 2022-01-18 15:55:56,692:INFO:Creating metrics dataframe
  11419. 2022-01-18 15:55:56,699:INFO:Finalizing model
  11420. 2022-01-18 15:56:03,239:INFO:Uploading results into container
  11421. 2022-01-18 15:56:03,239:INFO:Uploading model into container now
  11422. 2022-01-18 15:56:03,240:INFO:create_model_container: 39
  11423. 2022-01-18 15:56:03,240:INFO:master_model_container: 39
  11424. 2022-01-18 15:56:03,240:INFO:display_container: 14
  11425. 2022-01-18 15:56:03,241:INFO:BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
  11426. bagging_freq=3,
  11427. boosting_type='gbdt',
  11428. class_weight=None,
  11429. colsample_bytree=1.0,
  11430. feature_fraction=0.9,
  11431. importance_type='split',
  11432. learning_rate=0.15,
  11433. max_depth=-1,
  11434. min_child_samples=61,
  11435. min_child_weight=0.001,
  11436. min_split_gain=0.5,
  11437. n_estimators=120, n_jobs=-1,
  11438. num_leaves=90, objective=None,
  11439. random_state=7473,
  11440. reg_alpha=0.4,
  11441. reg_lambda=0.0005,
  11442. silent='warn', subsample=1.0,
  11443. subsample_for_bin=200000,
  11444. subsample_freq=0),
  11445. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11446. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11447. random_state=7473, verbose=0, warm_start=False)
  11448. 2022-01-18 15:56:03,241:INFO:create_model() succesfully completed......................................
  11449. 2022-01-18 15:56:03,320:INFO:SubProcess create_model() end ==================================
  11450. 2022-01-18 15:56:03,330:INFO:create_model_container: 39
  11451. 2022-01-18 15:56:03,330:INFO:master_model_container: 39
  11452. 2022-01-18 15:56:03,330:INFO:display_container: 14
  11453. 2022-01-18 15:56:03,331:INFO:BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
  11454. bagging_freq=3,
  11455. boosting_type='gbdt',
  11456. class_weight=None,
  11457. colsample_bytree=1.0,
  11458. feature_fraction=0.9,
  11459. importance_type='split',
  11460. learning_rate=0.15,
  11461. max_depth=-1,
  11462. min_child_samples=61,
  11463. min_child_weight=0.001,
  11464. min_split_gain=0.5,
  11465. n_estimators=120, n_jobs=-1,
  11466. num_leaves=90, objective=None,
  11467. random_state=7473,
  11468. reg_alpha=0.4,
  11469. reg_lambda=0.0005,
  11470. silent='warn', subsample=1.0,
  11471. subsample_for_bin=200000,
  11472. subsample_freq=0),
  11473. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11474. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11475. random_state=7473, verbose=0, warm_start=False)
  11476. 2022-01-18 15:56:03,331:INFO:ensemble_model() succesfully completed......................................
  11477. 2022-01-18 15:56:03,430:INFO:Initializing ensemble_model()
  11478. 2022-01-18 15:56:03,430:INFO:ensemble_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  11479. learning_rate=0.2, loss='deviance', max_depth=11,
  11480. max_features=1.0, max_leaf_nodes=None,
  11481. min_impurity_decrease=0.1, min_impurity_split=None,
  11482. min_samples_leaf=5, min_samples_split=2,
  11483. min_weight_fraction_leaf=0.0, n_estimators=60,
  11484. n_iter_no_change=None, presort='deprecated',
  11485. random_state=7473, subsample=0.75, tol=0.0001,
  11486. validation_fraction=0.1, verbose=0,
  11487. warm_start=False), method=Bagging, fold=None, n_estimators=10, round=4, choose_better=False, optimize=Accuracy, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11488. 2022-01-18 15:56:03,431:INFO:Checking exceptions
  11489. 2022-01-18 15:56:03,432:INFO:Preparing display monitor
  11490. 2022-01-18 15:56:03,442:INFO:Importing libraries
  11491. 2022-01-18 15:56:03,443:INFO:Copying training dataset
  11492. 2022-01-18 15:56:03,444:INFO:Checking base model
  11493. 2022-01-18 15:56:03,444:INFO:Base model : Gradient Boosting Classifier
  11494. 2022-01-18 15:56:03,454:INFO:Importing untrained ensembler
  11495. 2022-01-18 15:56:03,454:INFO:Ensemble method set to Bagging
  11496. 2022-01-18 15:56:03,454:INFO:SubProcess create_model() called ==================================
  11497. 2022-01-18 15:56:03,455:INFO:Initializing create_model()
  11498. 2022-01-18 15:56:03,456:INFO:create_model(estimator=BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
  11499. criterion='friedman_mse',
  11500. init=None,
  11501. learning_rate=0.2,
  11502. loss='deviance',
  11503. max_depth=11,
  11504. max_features=1.0,
  11505. max_leaf_nodes=None,
  11506. min_impurity_decrease=0.1,
  11507. min_impurity_split=None,
  11508. min_samples_leaf=5,
  11509. min_samples_split=2,
  11510. min_weight_fraction_leaf=0.0,
  11511. n_estimators=60,
  11512. n_iter_no_change=None,
  11513. presort='deprecated',
  11514. random_state=7473,
  11515. subsample=0.75,
  11516. tol=0.0001,
  11517. validation_fraction=0.1,
  11518. verbose=0,
  11519. warm_start=False),
  11520. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11521. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11522. random_state=7473, verbose=0, warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8568f4a340>, kwargs={})
  11523. 2022-01-18 15:56:03,456:INFO:Checking exceptions
  11524. 2022-01-18 15:56:03,456:INFO:Importing libraries
  11525. 2022-01-18 15:56:03,456:INFO:Copying training dataset
  11526. 2022-01-18 15:56:03,457:INFO:Defining folds
  11527. 2022-01-18 15:56:03,458:INFO:Declaring metric variables
  11528. 2022-01-18 15:56:03,463:INFO:Importing untrained model
  11529. 2022-01-18 15:56:03,463:INFO:Declaring custom model
  11530. 2022-01-18 15:56:03,468:INFO:Gradient Boosting Classifier Imported succesfully
  11531. 2022-01-18 15:56:03,479:INFO:Starting cross validation
  11532. 2022-01-18 15:56:03,479:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11533. 2022-01-18 15:58:16,629:INFO:Calculating mean and std
  11534. 2022-01-18 15:58:16,630:INFO:Creating metrics dataframe
  11535. 2022-01-18 15:58:16,637:INFO:Finalizing model
  11536. 2022-01-18 15:58:31,795:INFO:Uploading results into container
  11537. 2022-01-18 15:58:31,796:INFO:Uploading model into container now
  11538. 2022-01-18 15:58:31,796:INFO:create_model_container: 40
  11539. 2022-01-18 15:58:31,796:INFO:master_model_container: 40
  11540. 2022-01-18 15:58:31,796:INFO:display_container: 15
  11541. 2022-01-18 15:58:31,797:INFO:BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
  11542. criterion='friedman_mse',
  11543. init=None,
  11544. learning_rate=0.2,
  11545. loss='deviance',
  11546. max_depth=11,
  11547. max_features=1.0,
  11548. max_leaf_nodes=None,
  11549. min_impurity_decrease=0.1,
  11550. min_impurity_split=None,
  11551. min_samples_leaf=5,
  11552. min_samples_split=2,
  11553. min_weight_fraction_leaf=0.0,
  11554. n_estimators=60,
  11555. n_iter_no_change=None,
  11556. presort='deprecated',
  11557. random_state=7473,
  11558. subsample=0.75,
  11559. tol=0.0001,
  11560. validation_fraction=0.1,
  11561. verbose=0,
  11562. warm_start=False),
  11563. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11564. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11565. random_state=7473, verbose=0, warm_start=False)
  11566. 2022-01-18 15:58:31,797:INFO:create_model() succesfully completed......................................
  11567. 2022-01-18 15:58:31,876:INFO:SubProcess create_model() end ==================================
  11568. 2022-01-18 15:58:31,885:INFO:create_model_container: 40
  11569. 2022-01-18 15:58:31,886:INFO:master_model_container: 40
  11570. 2022-01-18 15:58:31,886:INFO:display_container: 15
  11571. 2022-01-18 15:58:31,887:INFO:BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
  11572. criterion='friedman_mse',
  11573. init=None,
  11574. learning_rate=0.2,
  11575. loss='deviance',
  11576. max_depth=11,
  11577. max_features=1.0,
  11578. max_leaf_nodes=None,
  11579. min_impurity_decrease=0.1,
  11580. min_impurity_split=None,
  11581. min_samples_leaf=5,
  11582. min_samples_split=2,
  11583. min_weight_fraction_leaf=0.0,
  11584. n_estimators=60,
  11585. n_iter_no_change=None,
  11586. presort='deprecated',
  11587. random_state=7473,
  11588. subsample=0.75,
  11589. tol=0.0001,
  11590. validation_fraction=0.1,
  11591. verbose=0,
  11592. warm_start=False),
  11593. bootstrap=True, bootstrap_features=False, max_features=1.0,
  11594. max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
  11595. random_state=7473, verbose=0, warm_start=False)
  11596. 2022-01-18 15:58:31,887:INFO:ensemble_model() succesfully completed......................................
  11597. 2022-01-18 15:58:31,977:INFO:Initializing blend_models()
  11598. 2022-01-18 15:58:31,977:INFO:blend_models(estimator_list=[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  11599. criterion='gini', max_depth=None, max_features='auto',
  11600. max_leaf_nodes=None, max_samples=None,
  11601. min_impurity_decrease=0.0, min_impurity_split=None,
  11602. min_samples_leaf=1, min_samples_split=2,
  11603. min_weight_fraction_leaf=0.0, n_estimators=100,
  11604. n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
  11605. warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  11606. criterion='gini', max_depth=None, max_features='auto',
  11607. max_leaf_nodes=None, max_samples=None,
  11608. min_impurity_decrease=0.0, min_impurity_split=None,
  11609. min_samples_leaf=1, min_samples_split=2,
  11610. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  11611. oob_score=False, random_state=7473, verbose=0,
  11612. warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  11613. max_depth=None, max_features=None, max_leaf_nodes=None,
  11614. min_impurity_decrease=0.0, min_impurity_split=None,
  11615. min_samples_leaf=1, min_samples_split=2,
  11616. min_weight_fraction_leaf=0.0, presort='deprecated',
  11617. random_state=7473, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  11618. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  11619. weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  11620. importance_type='split', learning_rate=0.1, max_depth=-1,
  11621. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  11622. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  11623. random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  11624. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  11625. learning_rate=0.1, loss='deviance', max_depth=3,
  11626. max_features=None, max_leaf_nodes=None,
  11627. min_impurity_decrease=0.0, min_impurity_split=None,
  11628. min_samples_leaf=1, min_samples_split=2,
  11629. min_weight_fraction_leaf=0.0, n_estimators=100,
  11630. n_iter_no_change=None, presort='deprecated',
  11631. random_state=7473, subsample=1.0, tol=0.0001,
  11632. validation_fraction=0.1, verbose=0,
  11633. warm_start=False)], fold=None, round=4, choose_better=False, optimize=Accuracy, method=auto, weights=None, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None)
  11634. 2022-01-18 15:58:31,977:INFO:Checking exceptions
  11635. 2022-01-18 15:58:31,978:INFO:Preparing display monitor
  11636. 2022-01-18 15:58:31,988:INFO:Importing libraries
  11637. 2022-01-18 15:58:31,989:INFO:Copying training dataset
  11638. 2022-01-18 15:58:31,995:INFO:Getting model names
  11639. 2022-01-18 15:58:32,000:INFO:SubProcess create_model() called ==================================
  11640. 2022-01-18 15:58:32,004:INFO:Initializing create_model()
  11641. 2022-01-18 15:58:32,005:INFO:create_model(estimator=VotingClassifier(estimators=[('rf',
  11642. RandomForestClassifier(bootstrap=True,
  11643. ccp_alpha=0.0,
  11644. class_weight=None,
  11645. criterion='gini',
  11646. max_depth=None,
  11647. max_features='auto',
  11648. max_leaf_nodes=None,
  11649. max_samples=None,
  11650. min_impurity_decrease=0.0,
  11651. min_impurity_split=None,
  11652. min_samples_leaf=1,
  11653. min_samples_split=2,
  11654. min_weight_fraction_leaf=0.0,
  11655. n_estimators=100,
  11656. n_jobs=-1, oob_score=F...
  11657. max_leaf_nodes=None,
  11658. min_impurity_decrease=0.0,
  11659. min_impurity_split=None,
  11660. min_samples_leaf=1,
  11661. min_samples_split=2,
  11662. min_weight_fraction_leaf=0.0,
  11663. n_estimators=100,
  11664. n_iter_no_change=None,
  11665. presort='deprecated',
  11666. random_state=7473,
  11667. subsample=1.0,
  11668. tol=0.0001,
  11669. validation_fraction=0.1,
  11670. verbose=0,
  11671. warm_start=False))],
  11672. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11673. weights=None), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f8584510d90>, kwargs={})
  11674. 2022-01-18 15:58:32,005:INFO:Checking exceptions
  11675. 2022-01-18 15:58:32,005:INFO:Importing libraries
  11676. 2022-01-18 15:58:32,005:INFO:Copying training dataset
  11677. 2022-01-18 15:58:32,007:INFO:Defining folds
  11678. 2022-01-18 15:58:32,007:INFO:Declaring metric variables
  11679. 2022-01-18 15:58:32,012:INFO:Importing untrained model
  11680. 2022-01-18 15:58:32,013:INFO:Declaring custom model
  11681. 2022-01-18 15:58:32,020:INFO:Voting Classifier Imported succesfully
  11682. 2022-01-18 15:58:32,031:INFO:Starting cross validation
  11683. 2022-01-18 15:58:32,031:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11684. 2022-01-18 15:59:19,663:INFO:Calculating mean and std
  11685. 2022-01-18 15:59:19,664:INFO:Creating metrics dataframe
  11686. 2022-01-18 15:59:19,671:INFO:Finalizing model
  11687. 2022-01-18 15:59:24,372:INFO:Uploading results into container
  11688. 2022-01-18 15:59:24,373:INFO:Uploading model into container now
  11689. 2022-01-18 15:59:24,373:INFO:create_model_container: 41
  11690. 2022-01-18 15:59:24,373:INFO:master_model_container: 41
  11691. 2022-01-18 15:59:24,373:INFO:display_container: 16
  11692. 2022-01-18 15:59:24,377:INFO:VotingClassifier(estimators=[('rf',
  11693. RandomForestClassifier(bootstrap=True,
  11694. ccp_alpha=0.0,
  11695. class_weight=None,
  11696. criterion='gini',
  11697. max_depth=None,
  11698. max_features='auto',
  11699. max_leaf_nodes=None,
  11700. max_samples=None,
  11701. min_impurity_decrease=0.0,
  11702. min_impurity_split=None,
  11703. min_samples_leaf=1,
  11704. min_samples_split=2,
  11705. min_weight_fraction_leaf=0.0,
  11706. n_estimators=100,
  11707. n_jobs=-1, oob_score=F...
  11708. max_leaf_nodes=None,
  11709. min_impurity_decrease=0.0,
  11710. min_impurity_split=None,
  11711. min_samples_leaf=1,
  11712. min_samples_split=2,
  11713. min_weight_fraction_leaf=0.0,
  11714. n_estimators=100,
  11715. n_iter_no_change=None,
  11716. presort='deprecated',
  11717. random_state=7473,
  11718. subsample=1.0,
  11719. tol=0.0001,
  11720. validation_fraction=0.1,
  11721. verbose=0,
  11722. warm_start=False))],
  11723. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11724. weights=None)
  11725. 2022-01-18 15:59:24,378:INFO:create_model() succesfully completed......................................
  11726. 2022-01-18 15:59:24,458:INFO:SubProcess create_model() end ==================================
  11727. 2022-01-18 15:59:24,468:INFO:create_model_container: 41
  11728. 2022-01-18 15:59:24,468:INFO:master_model_container: 41
  11729. 2022-01-18 15:59:24,468:INFO:display_container: 16
  11730. 2022-01-18 15:59:24,473:INFO:VotingClassifier(estimators=[('rf',
  11731. RandomForestClassifier(bootstrap=True,
  11732. ccp_alpha=0.0,
  11733. class_weight=None,
  11734. criterion='gini',
  11735. max_depth=None,
  11736. max_features='auto',
  11737. max_leaf_nodes=None,
  11738. max_samples=None,
  11739. min_impurity_decrease=0.0,
  11740. min_impurity_split=None,
  11741. min_samples_leaf=1,
  11742. min_samples_split=2,
  11743. min_weight_fraction_leaf=0.0,
  11744. n_estimators=100,
  11745. n_jobs=-1, oob_score=F...
  11746. max_leaf_nodes=None,
  11747. min_impurity_decrease=0.0,
  11748. min_impurity_split=None,
  11749. min_samples_leaf=1,
  11750. min_samples_split=2,
  11751. min_weight_fraction_leaf=0.0,
  11752. n_estimators=100,
  11753. n_iter_no_change=None,
  11754. presort='deprecated',
  11755. random_state=7473,
  11756. subsample=1.0,
  11757. tol=0.0001,
  11758. validation_fraction=0.1,
  11759. verbose=0,
  11760. warm_start=False))],
  11761. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11762. weights=None)
  11763. 2022-01-18 15:59:24,473:INFO:blend_models() succesfully completed......................................
  11764. 2022-01-18 15:59:24,557:INFO:Initializing automl()
  11765. 2022-01-18 15:59:24,557:INFO:automl(optimize=F1, use_holdout=False)
  11766. 2022-01-18 15:59:24,558:INFO:Model Selection Basis : CV Results on Training set
  11767. 2022-01-18 15:59:24,565:INFO:Initializing create_model()
  11768. 2022-01-18 15:59:24,565:INFO:create_model(estimator=VotingClassifier(estimators=[('rf',
  11769. RandomForestClassifier(bootstrap=True,
  11770. ccp_alpha=0.0,
  11771. class_weight=None,
  11772. criterion='gini',
  11773. max_depth=None,
  11774. max_features='auto',
  11775. max_leaf_nodes=None,
  11776. max_samples=None,
  11777. min_impurity_decrease=0.0,
  11778. min_impurity_split=None,
  11779. min_samples_leaf=1,
  11780. min_samples_split=2,
  11781. min_weight_fraction_leaf=0.0,
  11782. n_estimators=100,
  11783. n_jobs=-1, oob_score=F...
  11784. max_leaf_nodes=None,
  11785. min_impurity_decrease=0.0,
  11786. min_impurity_split=None,
  11787. min_samples_leaf=1,
  11788. min_samples_split=2,
  11789. min_weight_fraction_leaf=0.0,
  11790. n_estimators=100,
  11791. n_iter_no_change=None,
  11792. presort='deprecated',
  11793. random_state=7473,
  11794. subsample=1.0,
  11795. tol=0.0001,
  11796. validation_fraction=0.1,
  11797. verbose=0,
  11798. warm_start=False))],
  11799. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11800. weights=None), fold=None, round=4, cross_validation=False, predict=False, fit_kwargs=None, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  11801. 2022-01-18 15:59:24,566:INFO:Checking exceptions
  11802. 2022-01-18 15:59:24,566:INFO:Importing libraries
  11803. 2022-01-18 15:59:24,566:INFO:Copying training dataset
  11804. 2022-01-18 15:59:24,567:INFO:Defining folds
  11805. 2022-01-18 15:59:24,567:INFO:Declaring metric variables
  11806. 2022-01-18 15:59:24,567:INFO:Importing untrained model
  11807. 2022-01-18 15:59:24,567:INFO:Declaring custom model
  11808. 2022-01-18 15:59:24,569:INFO:Voting Classifier Imported succesfully
  11809. 2022-01-18 15:59:24,569:INFO:Cross validation set to False
  11810. 2022-01-18 15:59:24,570:INFO:Fitting Model
  11811. 2022-01-18 15:59:29,312:INFO:VotingClassifier(estimators=[('rf',
  11812. RandomForestClassifier(bootstrap=True,
  11813. ccp_alpha=0.0,
  11814. class_weight=None,
  11815. criterion='gini',
  11816. max_depth=None,
  11817. max_features='auto',
  11818. max_leaf_nodes=None,
  11819. max_samples=None,
  11820. min_impurity_decrease=0.0,
  11821. min_impurity_split=None,
  11822. min_samples_leaf=1,
  11823. min_samples_split=2,
  11824. min_weight_fraction_leaf=0.0,
  11825. n_estimators=100,
  11826. n_jobs=-1, oob_score=F...
  11827. max_leaf_nodes=None,
  11828. min_impurity_decrease=0.0,
  11829. min_impurity_split=None,
  11830. min_samples_leaf=1,
  11831. min_samples_split=2,
  11832. min_weight_fraction_leaf=0.0,
  11833. n_estimators=100,
  11834. n_iter_no_change=None,
  11835. presort='deprecated',
  11836. random_state=7473,
  11837. subsample=1.0,
  11838. tol=0.0001,
  11839. validation_fraction=0.1,
  11840. verbose=0,
  11841. warm_start=False))],
  11842. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11843. weights=None)
  11844. 2022-01-18 15:59:29,312:INFO:create_models() succesfully completed......................................
  11845. 2022-01-18 15:59:29,395:INFO:VotingClassifier(estimators=[('rf',
  11846. RandomForestClassifier(bootstrap=True,
  11847. ccp_alpha=0.0,
  11848. class_weight=None,
  11849. criterion='gini',
  11850. max_depth=None,
  11851. max_features='auto',
  11852. max_leaf_nodes=None,
  11853. max_samples=None,
  11854. min_impurity_decrease=0.0,
  11855. min_impurity_split=None,
  11856. min_samples_leaf=1,
  11857. min_samples_split=2,
  11858. min_weight_fraction_leaf=0.0,
  11859. n_estimators=100,
  11860. n_jobs=-1, oob_score=F...
  11861. max_leaf_nodes=None,
  11862. min_impurity_decrease=0.0,
  11863. min_impurity_split=None,
  11864. min_samples_leaf=1,
  11865. min_samples_split=2,
  11866. min_weight_fraction_leaf=0.0,
  11867. n_estimators=100,
  11868. n_iter_no_change=None,
  11869. presort='deprecated',
  11870. random_state=7473,
  11871. subsample=1.0,
  11872. tol=0.0001,
  11873. validation_fraction=0.1,
  11874. verbose=0,
  11875. warm_start=False))],
  11876. flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
  11877. weights=None)
  11878. 2022-01-18 15:59:29,395:INFO:automl() succesfully completed......................................
  11879. 2022-01-24 17:00:57,351:INFO:PyCaret Supervised Module
  11880. 2022-01-24 17:00:57,352:INFO:ML Usecase: classification
  11881. 2022-01-24 17:00:57,352:INFO:version 2.3.6
  11882. 2022-01-24 17:00:57,352:INFO:Initializing setup()
  11883. 2022-01-24 17:00:57,352:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  11884. 2022-01-24 17:00:57,353:INFO:Checking environment
  11885. 2022-01-24 17:00:57,353:INFO:python_version: 3.8.8
  11886. 2022-01-24 17:00:57,353:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  11887. 2022-01-24 17:00:57,353:INFO:machine: x86_64
  11888. 2022-01-24 17:00:57,353:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  11889. 2022-01-24 17:00:57,353:INFO:Memory: svmem(total=33619935232, available=27133919232, percent=19.3, used=5633220608, free=24227573760, active=1520721920, inactive=7199526912, buffers=907464704, cached=2851676160, shared=383610880, slab=321990656)
  11890. 2022-01-24 17:00:57,354:INFO:Physical Core: 16
  11891. 2022-01-24 17:00:57,354:INFO:Logical Core: 32
  11892. 2022-01-24 17:00:57,354:INFO:Checking libraries
  11893. 2022-01-24 17:00:57,355:INFO:pd==1.2.4
  11894. 2022-01-24 17:00:57,355:INFO:numpy==1.19.5
  11895. 2022-01-24 17:00:57,355:INFO:sklearn==0.23.2
  11896. 2022-01-24 17:00:57,355:INFO:lightgbm==3.3.2
  11897. 2022-01-24 17:00:57,356:WARNING:catboost not found
  11898. 2022-01-24 17:00:57,356:WARNING:xgboost not found
  11899. 2022-01-24 17:00:57,356:INFO:mlflow==1.22.0
  11900. 2022-01-24 17:00:57,356:INFO:Checking Exceptions
  11901. 2022-01-24 17:00:57,357:INFO:Declaring global variables
  11902. 2022-01-24 17:00:57,357:INFO:USI: 5f8a
  11903. 2022-01-24 17:00:57,357:INFO:pycaret_globals: {'fix_imbalance_param', 'prep_pipe', 'X_test', 'stratify_param', '_all_models', 'target_param', '_available_plots', 'pycaret_globals', 'fold_shuffle_param', 'fix_imbalance_method_param', 'html_param', 'fold_param', '_ml_usecase', 'fold_groups_param', 'USI', 'transform_target_method_param', 'display_container', 'X_train', 'experiment__', 'n_jobs_param', 'gpu_param', 'master_model_container', '_all_models_internal', '_all_metrics', '_gpu_n_jobs_param', 'create_model_container', 'imputation_classifier', 'seed', 'imputation_regressor', 'transform_target_param', '_internal_pipeline', 'fold_groups_param_full', 'log_plots_param', 'y', 'exp_name_log', 'data_before_preprocess', 'fold_generator', 'y_train', 'iterative_imputation_iters_param', 'y_test', 'logging_param', 'X'}
  11904. 2022-01-24 17:00:57,357:INFO:Preparing display monitor
  11905. 2022-01-24 17:00:57,357:INFO:Preparing display monitor
  11906. 2022-01-24 17:00:57,365:INFO:Importing libraries
  11907. 2022-01-24 17:00:57,366:INFO:Copying data for preprocessing
  11908. 2022-01-24 17:00:57,372:INFO:Declaring preprocessing parameters
  11909. 2022-01-24 17:00:57,372:WARNING:cuML not found
  11910. 2022-01-24 17:00:57,372:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  11911. 2022-01-24 17:00:57,375:INFO:Creating preprocessing pipeline
  11912. 2022-01-24 17:00:57,404:INFO:Preprocessing pipeline created successfully
  11913. 2022-01-24 17:00:57,404:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  11914. 2022-01-24 17:00:57,405:INFO:Creating global containers
  11915. 2022-01-24 17:00:57,405:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  11916. 2022-01-24 17:01:00,466:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  11917. 2022-01-24 17:01:00,493:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  11918. 2022-01-24 17:01:00,494:WARNING:Couldn't import cuml.MBSGDClassifier
  11919. 2022-01-24 17:01:00,495:WARNING:Couldn't import cuml.svm.SVC
  11920. 2022-01-24 17:01:00,509:WARNING:Couldn't import cuml.linear_model
  11921. 2022-01-24 17:01:00,512:WARNING:Couldn't import cuml.ensemble
  11922. 2022-01-24 17:01:00,513:WARNING:Couldn't import xgboost.XGBClassifier
  11923. 2022-01-24 17:01:00,516:WARNING:Couldn't import catboost.CatBoostClassifier
  11924. 2022-01-24 17:01:00,517:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  11925. 2022-01-24 17:01:00,551:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  11926. 2022-01-24 17:01:00,552:WARNING:Couldn't import cuml.MBSGDClassifier
  11927. 2022-01-24 17:01:00,553:WARNING:Couldn't import cuml.svm.SVC
  11928. 2022-01-24 17:01:00,567:WARNING:Couldn't import cuml.linear_model
  11929. 2022-01-24 17:01:00,571:WARNING:Couldn't import cuml.ensemble
  11930. 2022-01-24 17:01:00,572:WARNING:Couldn't import xgboost.XGBClassifier
  11931. 2022-01-24 17:01:00,576:WARNING:Couldn't import catboost.CatBoostClassifier
  11932. 2022-01-24 17:01:00,577:INFO:Creating grid variables
  11933. 2022-01-24 17:01:00,590:INFO:create_model_container: 0
  11934. 2022-01-24 17:01:00,590:INFO:master_model_container: 0
  11935. 2022-01-24 17:01:00,591:INFO:display_container: 1
  11936. 2022-01-24 17:01:00,593:INFO:Pipeline(memory=None,
  11937. steps=[('dtypes',
  11938. DataTypes_Auto_infer(categorical_features=[],
  11939. display_types=True, features_todrop=[],
  11940. id_columns=[],
  11941. ml_usecase='classification',
  11942. numerical_features=[], target='label',
  11943. time_features=[])),
  11944. ('imputer',
  11945. Simple_Imputer(categorical_strategy='not_available',
  11946. fill_value_categorical=None,
  11947. fill_value_numerical=None,
  11948. numeric_strate...
  11949. target='label')),
  11950. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  11951. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  11952. ('dummy', Dummify(target='label')),
  11953. ('fix_perfect', Remove_100(target='label')),
  11954. ('clean_names', Clean_Colum_Names()),
  11955. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  11956. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  11957. verbose=False)
  11958. 2022-01-24 17:01:00,594:INFO:setup() succesfully completed......................................
  11959. 2022-01-24 17:08:20,805:INFO:Initializing compare_models()
  11960. 2022-01-24 17:08:20,805:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  11961. 2022-01-24 17:08:20,806:INFO:Checking exceptions
  11962. 2022-01-24 17:08:20,807:INFO:Preparing display monitor
  11963. 2022-01-24 17:08:20,807:INFO:Preparing display monitor
  11964. 2022-01-24 17:08:20,823:INFO:Initializing Logistic Regression
  11965. 2022-01-24 17:08:20,823:INFO:Total runtime is 6.004174550374349e-06 minutes
  11966. 2022-01-24 17:08:20,829:INFO:SubProcess create_model() called ==================================
  11967. 2022-01-24 17:08:20,829:INFO:Initializing create_model()
  11968. 2022-01-24 17:08:20,829:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  11969. 2022-01-24 17:08:20,829:INFO:Checking exceptions
  11970. 2022-01-24 17:08:20,829:INFO:Importing libraries
  11971. 2022-01-24 17:08:20,830:INFO:Copying training dataset
  11972. 2022-01-24 17:08:20,832:INFO:Defining folds
  11973. 2022-01-24 17:08:20,832:INFO:Declaring metric variables
  11974. 2022-01-24 17:08:20,837:INFO:Importing untrained model
  11975. 2022-01-24 17:08:20,842:INFO:Logistic Regression Imported succesfully
  11976. 2022-01-24 17:08:20,852:INFO:Starting cross validation
  11977. 2022-01-24 17:08:20,853:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  11978. 2022-01-24 17:08:28,104:INFO:Calculating mean and std
  11979. 2022-01-24 17:08:28,107:INFO:Creating metrics dataframe
  11980. 2022-01-24 17:08:28,115:INFO:Uploading results into container
  11981. 2022-01-24 17:08:28,116:INFO:Uploading model into container now
  11982. 2022-01-24 17:08:28,117:INFO:create_model_container: 1
  11983. 2022-01-24 17:08:28,117:INFO:master_model_container: 1
  11984. 2022-01-24 17:08:28,117:INFO:display_container: 2
  11985. 2022-01-24 17:08:28,118:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  11986. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  11987. multi_class='auto', n_jobs=None, penalty='l2',
  11988. random_state=6174, solver='lbfgs', tol=0.0001, verbose=0,
  11989. warm_start=False)
  11990. 2022-01-24 17:08:28,118:INFO:create_model() succesfully completed......................................
  11991. 2022-01-24 17:08:28,216:INFO:SubProcess create_model() end ==================================
  11992. 2022-01-24 17:08:28,216:INFO:Creating metrics dataframe
  11993. 2022-01-24 17:08:28,225:INFO:Initializing K Neighbors Classifier
  11994. 2022-01-24 17:08:28,225:INFO:Total runtime is 0.12337379852930705 minutes
  11995. 2022-01-24 17:08:28,231:INFO:SubProcess create_model() called ==================================
  11996. 2022-01-24 17:08:28,231:INFO:Initializing create_model()
  11997. 2022-01-24 17:08:28,231:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  11998. 2022-01-24 17:08:28,231:INFO:Checking exceptions
  11999. 2022-01-24 17:08:28,232:INFO:Importing libraries
  12000. 2022-01-24 17:08:28,232:INFO:Copying training dataset
  12001. 2022-01-24 17:08:28,233:INFO:Defining folds
  12002. 2022-01-24 17:08:28,233:INFO:Declaring metric variables
  12003. 2022-01-24 17:08:28,238:INFO:Importing untrained model
  12004. 2022-01-24 17:08:28,242:INFO:K Neighbors Classifier Imported succesfully
  12005. 2022-01-24 17:08:28,252:INFO:Starting cross validation
  12006. 2022-01-24 17:08:28,253:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12007. 2022-01-24 17:08:46,894:INFO:Calculating mean and std
  12008. 2022-01-24 17:08:46,895:INFO:Creating metrics dataframe
  12009. 2022-01-24 17:08:46,898:INFO:Uploading results into container
  12010. 2022-01-24 17:08:46,898:INFO:Uploading model into container now
  12011. 2022-01-24 17:08:46,898:INFO:create_model_container: 2
  12012. 2022-01-24 17:08:46,898:INFO:master_model_container: 2
  12013. 2022-01-24 17:08:46,898:INFO:display_container: 2
  12014. 2022-01-24 17:08:46,899:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12015. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12016. weights='uniform')
  12017. 2022-01-24 17:08:46,899:INFO:create_model() succesfully completed......................................
  12018. 2022-01-24 17:08:46,995:INFO:SubProcess create_model() end ==================================
  12019. 2022-01-24 17:08:46,996:INFO:Creating metrics dataframe
  12020. 2022-01-24 17:08:47,006:INFO:Initializing Naive Bayes
  12021. 2022-01-24 17:08:47,007:INFO:Total runtime is 0.43639185825983684 minutes
  12022. 2022-01-24 17:08:47,012:INFO:SubProcess create_model() called ==================================
  12023. 2022-01-24 17:08:47,013:INFO:Initializing create_model()
  12024. 2022-01-24 17:08:47,013:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12025. 2022-01-24 17:08:47,013:INFO:Checking exceptions
  12026. 2022-01-24 17:08:47,013:INFO:Importing libraries
  12027. 2022-01-24 17:08:47,013:INFO:Copying training dataset
  12028. 2022-01-24 17:08:47,016:INFO:Defining folds
  12029. 2022-01-24 17:08:47,016:INFO:Declaring metric variables
  12030. 2022-01-24 17:08:47,022:INFO:Importing untrained model
  12031. 2022-01-24 17:08:47,026:INFO:Naive Bayes Imported succesfully
  12032. 2022-01-24 17:08:47,038:INFO:Starting cross validation
  12033. 2022-01-24 17:08:47,038:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12034. 2022-01-24 17:08:47,286:INFO:Calculating mean and std
  12035. 2022-01-24 17:08:47,287:INFO:Creating metrics dataframe
  12036. 2022-01-24 17:08:47,290:INFO:Uploading results into container
  12037. 2022-01-24 17:08:47,290:INFO:Uploading model into container now
  12038. 2022-01-24 17:08:47,290:INFO:create_model_container: 3
  12039. 2022-01-24 17:08:47,290:INFO:master_model_container: 3
  12040. 2022-01-24 17:08:47,291:INFO:display_container: 2
  12041. 2022-01-24 17:08:47,291:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  12042. 2022-01-24 17:08:47,291:INFO:create_model() succesfully completed......................................
  12043. 2022-01-24 17:08:47,374:INFO:SubProcess create_model() end ==================================
  12044. 2022-01-24 17:08:47,374:INFO:Creating metrics dataframe
  12045. 2022-01-24 17:08:47,385:INFO:Initializing Decision Tree Classifier
  12046. 2022-01-24 17:08:47,385:INFO:Total runtime is 0.442702062924703 minutes
  12047. 2022-01-24 17:08:47,390:INFO:SubProcess create_model() called ==================================
  12048. 2022-01-24 17:08:47,391:INFO:Initializing create_model()
  12049. 2022-01-24 17:08:47,391:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12050. 2022-01-24 17:08:47,391:INFO:Checking exceptions
  12051. 2022-01-24 17:08:47,391:INFO:Importing libraries
  12052. 2022-01-24 17:08:47,391:INFO:Copying training dataset
  12053. 2022-01-24 17:08:47,393:INFO:Defining folds
  12054. 2022-01-24 17:08:47,393:INFO:Declaring metric variables
  12055. 2022-01-24 17:08:47,397:INFO:Importing untrained model
  12056. 2022-01-24 17:08:47,403:INFO:Decision Tree Classifier Imported succesfully
  12057. 2022-01-24 17:08:47,413:INFO:Starting cross validation
  12058. 2022-01-24 17:08:47,414:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12059. 2022-01-24 17:08:48,371:INFO:Calculating mean and std
  12060. 2022-01-24 17:08:48,372:INFO:Creating metrics dataframe
  12061. 2022-01-24 17:08:48,374:INFO:Uploading results into container
  12062. 2022-01-24 17:08:48,374:INFO:Uploading model into container now
  12063. 2022-01-24 17:08:48,375:INFO:create_model_container: 4
  12064. 2022-01-24 17:08:48,375:INFO:master_model_container: 4
  12065. 2022-01-24 17:08:48,375:INFO:display_container: 2
  12066. 2022-01-24 17:08:48,375:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12067. max_depth=None, max_features=None, max_leaf_nodes=None,
  12068. min_impurity_decrease=0.0, min_impurity_split=None,
  12069. min_samples_leaf=1, min_samples_split=2,
  12070. min_weight_fraction_leaf=0.0, presort='deprecated',
  12071. random_state=6174, splitter='best')
  12072. 2022-01-24 17:08:48,376:INFO:create_model() succesfully completed......................................
  12073. 2022-01-24 17:08:48,452:INFO:SubProcess create_model() end ==================================
  12074. 2022-01-24 17:08:48,452:INFO:Creating metrics dataframe
  12075. 2022-01-24 17:08:48,463:INFO:Initializing SVM - Linear Kernel
  12076. 2022-01-24 17:08:48,464:INFO:Total runtime is 0.46067760785420736 minutes
  12077. 2022-01-24 17:08:48,469:INFO:SubProcess create_model() called ==================================
  12078. 2022-01-24 17:08:48,469:INFO:Initializing create_model()
  12079. 2022-01-24 17:08:48,469:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12080. 2022-01-24 17:08:48,470:INFO:Checking exceptions
  12081. 2022-01-24 17:08:48,470:INFO:Importing libraries
  12082. 2022-01-24 17:08:48,470:INFO:Copying training dataset
  12083. 2022-01-24 17:08:48,471:INFO:Defining folds
  12084. 2022-01-24 17:08:48,471:INFO:Declaring metric variables
  12085. 2022-01-24 17:08:48,476:INFO:Importing untrained model
  12086. 2022-01-24 17:08:48,481:INFO:SVM - Linear Kernel Imported succesfully
  12087. 2022-01-24 17:08:48,491:INFO:Starting cross validation
  12088. 2022-01-24 17:08:48,491:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12089. 2022-01-24 17:08:49,731:INFO:Calculating mean and std
  12090. 2022-01-24 17:08:49,732:INFO:Creating metrics dataframe
  12091. 2022-01-24 17:08:49,736:INFO:Uploading results into container
  12092. 2022-01-24 17:08:49,737:INFO:Uploading model into container now
  12093. 2022-01-24 17:08:49,738:INFO:create_model_container: 5
  12094. 2022-01-24 17:08:49,738:INFO:master_model_container: 5
  12095. 2022-01-24 17:08:49,738:INFO:display_container: 2
  12096. 2022-01-24 17:08:49,739:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  12097. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  12098. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  12099. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  12100. power_t=0.5, random_state=6174, shuffle=True, tol=0.001,
  12101. validation_fraction=0.1, verbose=0, warm_start=False)
  12102. 2022-01-24 17:08:49,739:INFO:create_model() succesfully completed......................................
  12103. 2022-01-24 17:08:49,847:INFO:SubProcess create_model() end ==================================
  12104. 2022-01-24 17:08:49,847:INFO:Creating metrics dataframe
  12105. 2022-01-24 17:08:49,858:INFO:Initializing Ridge Classifier
  12106. 2022-01-24 17:08:49,858:INFO:Total runtime is 0.48392358620961506 minutes
  12107. 2022-01-24 17:08:49,864:INFO:SubProcess create_model() called ==================================
  12108. 2022-01-24 17:08:49,864:INFO:Initializing create_model()
  12109. 2022-01-24 17:08:49,865:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12110. 2022-01-24 17:08:49,865:INFO:Checking exceptions
  12111. 2022-01-24 17:08:49,865:INFO:Importing libraries
  12112. 2022-01-24 17:08:49,865:INFO:Copying training dataset
  12113. 2022-01-24 17:08:49,866:INFO:Defining folds
  12114. 2022-01-24 17:08:49,866:INFO:Declaring metric variables
  12115. 2022-01-24 17:08:49,871:INFO:Importing untrained model
  12116. 2022-01-24 17:08:49,877:INFO:Ridge Classifier Imported succesfully
  12117. 2022-01-24 17:08:49,887:INFO:Starting cross validation
  12118. 2022-01-24 17:08:49,887:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12119. 2022-01-24 17:08:50,464:INFO:Calculating mean and std
  12120. 2022-01-24 17:08:50,465:INFO:Creating metrics dataframe
  12121. 2022-01-24 17:08:50,475:INFO:Uploading results into container
  12122. 2022-01-24 17:08:50,475:INFO:Uploading model into container now
  12123. 2022-01-24 17:08:50,475:INFO:create_model_container: 6
  12124. 2022-01-24 17:08:50,475:INFO:master_model_container: 6
  12125. 2022-01-24 17:08:50,475:INFO:display_container: 2
  12126. 2022-01-24 17:08:50,476:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  12127. max_iter=None, normalize=False, random_state=6174,
  12128. solver='auto', tol=0.001)
  12129. 2022-01-24 17:08:50,476:INFO:create_model() succesfully completed......................................
  12130. 2022-01-24 17:08:50,576:INFO:SubProcess create_model() end ==================================
  12131. 2022-01-24 17:08:50,576:INFO:Creating metrics dataframe
  12132. 2022-01-24 17:08:50,588:INFO:Initializing Random Forest Classifier
  12133. 2022-01-24 17:08:50,588:INFO:Total runtime is 0.49608110984166465 minutes
  12134. 2022-01-24 17:08:50,593:INFO:SubProcess create_model() called ==================================
  12135. 2022-01-24 17:08:50,593:INFO:Initializing create_model()
  12136. 2022-01-24 17:08:50,593:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12137. 2022-01-24 17:08:50,594:INFO:Checking exceptions
  12138. 2022-01-24 17:08:50,594:INFO:Importing libraries
  12139. 2022-01-24 17:08:50,594:INFO:Copying training dataset
  12140. 2022-01-24 17:08:50,595:INFO:Defining folds
  12141. 2022-01-24 17:08:50,595:INFO:Declaring metric variables
  12142. 2022-01-24 17:08:50,600:INFO:Importing untrained model
  12143. 2022-01-24 17:08:50,605:INFO:Random Forest Classifier Imported succesfully
  12144. 2022-01-24 17:08:50,615:INFO:Starting cross validation
  12145. 2022-01-24 17:08:50,616:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12146. 2022-01-24 17:08:57,023:INFO:Calculating mean and std
  12147. 2022-01-24 17:08:57,024:INFO:Creating metrics dataframe
  12148. 2022-01-24 17:08:57,027:INFO:Uploading results into container
  12149. 2022-01-24 17:08:57,027:INFO:Uploading model into container now
  12150. 2022-01-24 17:08:57,027:INFO:create_model_container: 7
  12151. 2022-01-24 17:08:57,027:INFO:master_model_container: 7
  12152. 2022-01-24 17:08:57,027:INFO:display_container: 2
  12153. 2022-01-24 17:08:57,028:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12154. criterion='gini', max_depth=None, max_features='auto',
  12155. max_leaf_nodes=None, max_samples=None,
  12156. min_impurity_decrease=0.0, min_impurity_split=None,
  12157. min_samples_leaf=1, min_samples_split=2,
  12158. min_weight_fraction_leaf=0.0, n_estimators=100,
  12159. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12160. warm_start=False)
  12161. 2022-01-24 17:08:57,028:INFO:create_model() succesfully completed......................................
  12162. 2022-01-24 17:08:57,113:INFO:SubProcess create_model() end ==================================
  12163. 2022-01-24 17:08:57,113:INFO:Creating metrics dataframe
  12164. 2022-01-24 17:08:57,125:INFO:Initializing Quadratic Discriminant Analysis
  12165. 2022-01-24 17:08:57,125:INFO:Total runtime is 0.6050358931223552 minutes
  12166. 2022-01-24 17:08:57,131:INFO:SubProcess create_model() called ==================================
  12167. 2022-01-24 17:08:57,131:INFO:Initializing create_model()
  12168. 2022-01-24 17:08:57,131:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12169. 2022-01-24 17:08:57,131:INFO:Checking exceptions
  12170. 2022-01-24 17:08:57,131:INFO:Importing libraries
  12171. 2022-01-24 17:08:57,132:INFO:Copying training dataset
  12172. 2022-01-24 17:08:57,133:INFO:Defining folds
  12173. 2022-01-24 17:08:57,133:INFO:Declaring metric variables
  12174. 2022-01-24 17:08:57,137:INFO:Importing untrained model
  12175. 2022-01-24 17:08:57,142:INFO:Quadratic Discriminant Analysis Imported succesfully
  12176. 2022-01-24 17:08:57,153:INFO:Starting cross validation
  12177. 2022-01-24 17:08:57,153:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12178. 2022-01-24 17:08:58,319:INFO:Calculating mean and std
  12179. 2022-01-24 17:08:58,320:INFO:Creating metrics dataframe
  12180. 2022-01-24 17:08:58,324:INFO:Uploading results into container
  12181. 2022-01-24 17:08:58,328:INFO:Uploading model into container now
  12182. 2022-01-24 17:08:58,329:INFO:create_model_container: 8
  12183. 2022-01-24 17:08:58,330:INFO:master_model_container: 8
  12184. 2022-01-24 17:08:58,331:INFO:display_container: 2
  12185. 2022-01-24 17:08:58,331:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  12186. store_covariance=False, tol=0.0001)
  12187. 2022-01-24 17:08:58,331:INFO:create_model() succesfully completed......................................
  12188. 2022-01-24 17:08:58,427:INFO:SubProcess create_model() end ==================================
  12189. 2022-01-24 17:08:58,427:INFO:Creating metrics dataframe
  12190. 2022-01-24 17:08:58,439:INFO:Initializing Ada Boost Classifier
  12191. 2022-01-24 17:08:58,439:INFO:Total runtime is 0.6269395073254903 minutes
  12192. 2022-01-24 17:08:58,445:INFO:SubProcess create_model() called ==================================
  12193. 2022-01-24 17:08:58,445:INFO:Initializing create_model()
  12194. 2022-01-24 17:08:58,445:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12195. 2022-01-24 17:08:58,446:INFO:Checking exceptions
  12196. 2022-01-24 17:08:58,446:INFO:Importing libraries
  12197. 2022-01-24 17:08:58,446:INFO:Copying training dataset
  12198. 2022-01-24 17:08:58,447:INFO:Defining folds
  12199. 2022-01-24 17:08:58,447:INFO:Declaring metric variables
  12200. 2022-01-24 17:08:58,453:INFO:Importing untrained model
  12201. 2022-01-24 17:08:58,458:INFO:Ada Boost Classifier Imported succesfully
  12202. 2022-01-24 17:08:58,469:INFO:Starting cross validation
  12203. 2022-01-24 17:08:58,470:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12204. 2022-01-24 17:09:05,168:INFO:Calculating mean and std
  12205. 2022-01-24 17:09:05,169:INFO:Creating metrics dataframe
  12206. 2022-01-24 17:09:05,171:INFO:Uploading results into container
  12207. 2022-01-24 17:09:05,171:INFO:Uploading model into container now
  12208. 2022-01-24 17:09:05,171:INFO:create_model_container: 9
  12209. 2022-01-24 17:09:05,172:INFO:master_model_container: 9
  12210. 2022-01-24 17:09:05,172:INFO:display_container: 2
  12211. 2022-01-24 17:09:05,172:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  12212. n_estimators=50, random_state=6174)
  12213. 2022-01-24 17:09:05,172:INFO:create_model() succesfully completed......................................
  12214. 2022-01-24 17:09:05,261:INFO:SubProcess create_model() end ==================================
  12215. 2022-01-24 17:09:05,262:INFO:Creating metrics dataframe
  12216. 2022-01-24 17:09:05,274:INFO:Initializing Gradient Boosting Classifier
  12217. 2022-01-24 17:09:05,274:INFO:Total runtime is 0.7408567150433858 minutes
  12218. 2022-01-24 17:09:05,280:INFO:SubProcess create_model() called ==================================
  12219. 2022-01-24 17:09:05,280:INFO:Initializing create_model()
  12220. 2022-01-24 17:09:05,280:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12221. 2022-01-24 17:09:05,280:INFO:Checking exceptions
  12222. 2022-01-24 17:09:05,280:INFO:Importing libraries
  12223. 2022-01-24 17:09:05,281:INFO:Copying training dataset
  12224. 2022-01-24 17:09:05,282:INFO:Defining folds
  12225. 2022-01-24 17:09:05,282:INFO:Declaring metric variables
  12226. 2022-01-24 17:09:05,287:INFO:Importing untrained model
  12227. 2022-01-24 17:09:05,292:INFO:Gradient Boosting Classifier Imported succesfully
  12228. 2022-01-24 17:09:05,302:INFO:Starting cross validation
  12229. 2022-01-24 17:09:05,302:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12230. 2022-01-24 17:09:27,312:INFO:Calculating mean and std
  12231. 2022-01-24 17:09:27,313:INFO:Creating metrics dataframe
  12232. 2022-01-24 17:09:27,315:INFO:Uploading results into container
  12233. 2022-01-24 17:09:27,315:INFO:Uploading model into container now
  12234. 2022-01-24 17:09:27,316:INFO:create_model_container: 10
  12235. 2022-01-24 17:09:27,316:INFO:master_model_container: 10
  12236. 2022-01-24 17:09:27,316:INFO:display_container: 2
  12237. 2022-01-24 17:09:27,316:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12238. learning_rate=0.1, loss='deviance', max_depth=3,
  12239. max_features=None, max_leaf_nodes=None,
  12240. min_impurity_decrease=0.0, min_impurity_split=None,
  12241. min_samples_leaf=1, min_samples_split=2,
  12242. min_weight_fraction_leaf=0.0, n_estimators=100,
  12243. n_iter_no_change=None, presort='deprecated',
  12244. random_state=6174, subsample=1.0, tol=0.0001,
  12245. validation_fraction=0.1, verbose=0,
  12246. warm_start=False)
  12247. 2022-01-24 17:09:27,316:INFO:create_model() succesfully completed......................................
  12248. 2022-01-24 17:09:27,395:INFO:SubProcess create_model() end ==================================
  12249. 2022-01-24 17:09:27,396:INFO:Creating metrics dataframe
  12250. 2022-01-24 17:09:27,409:INFO:Initializing Linear Discriminant Analysis
  12251. 2022-01-24 17:09:27,409:INFO:Total runtime is 1.1097664793332418 minutes
  12252. 2022-01-24 17:09:27,415:INFO:SubProcess create_model() called ==================================
  12253. 2022-01-24 17:09:27,415:INFO:Initializing create_model()
  12254. 2022-01-24 17:09:27,415:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12255. 2022-01-24 17:09:27,415:INFO:Checking exceptions
  12256. 2022-01-24 17:09:27,415:INFO:Importing libraries
  12257. 2022-01-24 17:09:27,416:INFO:Copying training dataset
  12258. 2022-01-24 17:09:27,417:INFO:Defining folds
  12259. 2022-01-24 17:09:27,417:INFO:Declaring metric variables
  12260. 2022-01-24 17:09:27,422:INFO:Importing untrained model
  12261. 2022-01-24 17:09:27,427:INFO:Linear Discriminant Analysis Imported succesfully
  12262. 2022-01-24 17:09:27,437:INFO:Starting cross validation
  12263. 2022-01-24 17:09:27,437:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12264. 2022-01-24 17:09:29,313:INFO:Calculating mean and std
  12265. 2022-01-24 17:09:29,316:INFO:Creating metrics dataframe
  12266. 2022-01-24 17:09:29,320:INFO:Uploading results into container
  12267. 2022-01-24 17:09:29,324:INFO:Uploading model into container now
  12268. 2022-01-24 17:09:29,325:INFO:create_model_container: 11
  12269. 2022-01-24 17:09:29,325:INFO:master_model_container: 11
  12270. 2022-01-24 17:09:29,329:INFO:display_container: 2
  12271. 2022-01-24 17:09:29,329:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  12272. solver='svd', store_covariance=False, tol=0.0001)
  12273. 2022-01-24 17:09:29,330:INFO:create_model() succesfully completed......................................
  12274. 2022-01-24 17:09:29,428:INFO:SubProcess create_model() end ==================================
  12275. 2022-01-24 17:09:29,429:INFO:Creating metrics dataframe
  12276. 2022-01-24 17:09:29,441:INFO:Initializing Extra Trees Classifier
  12277. 2022-01-24 17:09:29,441:INFO:Total runtime is 1.1436361789703369 minutes
  12278. 2022-01-24 17:09:29,447:INFO:SubProcess create_model() called ==================================
  12279. 2022-01-24 17:09:29,447:INFO:Initializing create_model()
  12280. 2022-01-24 17:09:29,447:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12281. 2022-01-24 17:09:29,447:INFO:Checking exceptions
  12282. 2022-01-24 17:09:29,448:INFO:Importing libraries
  12283. 2022-01-24 17:09:29,448:INFO:Copying training dataset
  12284. 2022-01-24 17:09:29,449:INFO:Defining folds
  12285. 2022-01-24 17:09:29,449:INFO:Declaring metric variables
  12286. 2022-01-24 17:09:29,454:INFO:Importing untrained model
  12287. 2022-01-24 17:09:29,459:INFO:Extra Trees Classifier Imported succesfully
  12288. 2022-01-24 17:09:29,469:INFO:Starting cross validation
  12289. 2022-01-24 17:09:29,469:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12290. 2022-01-24 17:09:36,068:INFO:Calculating mean and std
  12291. 2022-01-24 17:09:36,069:INFO:Creating metrics dataframe
  12292. 2022-01-24 17:09:36,071:INFO:Uploading results into container
  12293. 2022-01-24 17:09:36,071:INFO:Uploading model into container now
  12294. 2022-01-24 17:09:36,071:INFO:create_model_container: 12
  12295. 2022-01-24 17:09:36,072:INFO:master_model_container: 12
  12296. 2022-01-24 17:09:36,072:INFO:display_container: 2
  12297. 2022-01-24 17:09:36,072:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  12298. criterion='gini', max_depth=None, max_features='auto',
  12299. max_leaf_nodes=None, max_samples=None,
  12300. min_impurity_decrease=0.0, min_impurity_split=None,
  12301. min_samples_leaf=1, min_samples_split=2,
  12302. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  12303. oob_score=False, random_state=6174, verbose=0,
  12304. warm_start=False)
  12305. 2022-01-24 17:09:36,072:INFO:create_model() succesfully completed......................................
  12306. 2022-01-24 17:09:36,158:INFO:SubProcess create_model() end ==================================
  12307. 2022-01-24 17:09:36,158:INFO:Creating metrics dataframe
  12308. 2022-01-24 17:09:36,171:INFO:Initializing Light Gradient Boosting Machine
  12309. 2022-01-24 17:09:36,171:INFO:Total runtime is 1.2558028976122537 minutes
  12310. 2022-01-24 17:09:36,176:INFO:SubProcess create_model() called ==================================
  12311. 2022-01-24 17:09:36,177:INFO:Initializing create_model()
  12312. 2022-01-24 17:09:36,177:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12313. 2022-01-24 17:09:36,177:INFO:Checking exceptions
  12314. 2022-01-24 17:09:36,177:INFO:Importing libraries
  12315. 2022-01-24 17:09:36,177:INFO:Copying training dataset
  12316. 2022-01-24 17:09:36,179:INFO:Defining folds
  12317. 2022-01-24 17:09:36,179:INFO:Declaring metric variables
  12318. 2022-01-24 17:09:36,184:INFO:Importing untrained model
  12319. 2022-01-24 17:09:36,188:INFO:Light Gradient Boosting Machine Imported succesfully
  12320. 2022-01-24 17:09:36,198:INFO:Starting cross validation
  12321. 2022-01-24 17:09:36,199:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12322. 2022-01-24 17:09:39,308:INFO:Calculating mean and std
  12323. 2022-01-24 17:09:39,309:INFO:Creating metrics dataframe
  12324. 2022-01-24 17:09:39,312:INFO:Uploading results into container
  12325. 2022-01-24 17:09:39,312:INFO:Uploading model into container now
  12326. 2022-01-24 17:09:39,312:INFO:create_model_container: 13
  12327. 2022-01-24 17:09:39,312:INFO:master_model_container: 13
  12328. 2022-01-24 17:09:39,312:INFO:display_container: 2
  12329. 2022-01-24 17:09:39,313:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  12330. importance_type='split', learning_rate=0.1, max_depth=-1,
  12331. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  12332. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  12333. random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  12334. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  12335. 2022-01-24 17:09:39,313:INFO:create_model() succesfully completed......................................
  12336. 2022-01-24 17:09:39,403:INFO:SubProcess create_model() end ==================================
  12337. 2022-01-24 17:09:39,404:INFO:Creating metrics dataframe
  12338. 2022-01-24 17:09:39,417:INFO:Initializing Dummy Classifier
  12339. 2022-01-24 17:09:39,417:INFO:Total runtime is 1.309907301266988 minutes
  12340. 2022-01-24 17:09:39,423:INFO:SubProcess create_model() called ==================================
  12341. 2022-01-24 17:09:39,423:INFO:Initializing create_model()
  12342. 2022-01-24 17:09:39,423:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f858385aca0>, kwargs={})
  12343. 2022-01-24 17:09:39,423:INFO:Checking exceptions
  12344. 2022-01-24 17:09:39,423:INFO:Importing libraries
  12345. 2022-01-24 17:09:39,424:INFO:Copying training dataset
  12346. 2022-01-24 17:09:39,425:INFO:Defining folds
  12347. 2022-01-24 17:09:39,425:INFO:Declaring metric variables
  12348. 2022-01-24 17:09:39,430:INFO:Importing untrained model
  12349. 2022-01-24 17:09:39,435:INFO:Dummy Classifier Imported succesfully
  12350. 2022-01-24 17:09:39,445:INFO:Starting cross validation
  12351. 2022-01-24 17:09:39,445:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12352. 2022-01-24 17:09:39,558:INFO:Calculating mean and std
  12353. 2022-01-24 17:09:39,559:INFO:Creating metrics dataframe
  12354. 2022-01-24 17:09:39,561:INFO:Uploading results into container
  12355. 2022-01-24 17:09:39,562:INFO:Uploading model into container now
  12356. 2022-01-24 17:09:39,562:INFO:create_model_container: 14
  12357. 2022-01-24 17:09:39,562:INFO:master_model_container: 14
  12358. 2022-01-24 17:09:39,562:INFO:display_container: 2
  12359. 2022-01-24 17:09:39,562:INFO:DummyClassifier(constant=None, random_state=6174, strategy='prior')
  12360. 2022-01-24 17:09:39,562:INFO:create_model() succesfully completed......................................
  12361. 2022-01-24 17:09:39,646:INFO:SubProcess create_model() end ==================================
  12362. 2022-01-24 17:09:39,646:INFO:Creating metrics dataframe
  12363. 2022-01-24 17:09:39,671:INFO:Initializing create_model()
  12364. 2022-01-24 17:09:39,672:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12365. criterion='gini', max_depth=None, max_features='auto',
  12366. max_leaf_nodes=None, max_samples=None,
  12367. min_impurity_decrease=0.0, min_impurity_split=None,
  12368. min_samples_leaf=1, min_samples_split=2,
  12369. min_weight_fraction_leaf=0.0, n_estimators=100,
  12370. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12371. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12372. 2022-01-24 17:09:39,672:INFO:Checking exceptions
  12373. 2022-01-24 17:09:39,672:INFO:Importing libraries
  12374. 2022-01-24 17:09:39,672:INFO:Copying training dataset
  12375. 2022-01-24 17:09:39,674:INFO:Defining folds
  12376. 2022-01-24 17:09:39,674:INFO:Declaring metric variables
  12377. 2022-01-24 17:09:39,674:INFO:Importing untrained model
  12378. 2022-01-24 17:09:39,674:INFO:Declaring custom model
  12379. 2022-01-24 17:09:39,675:INFO:Random Forest Classifier Imported succesfully
  12380. 2022-01-24 17:09:39,675:INFO:Cross validation set to False
  12381. 2022-01-24 17:09:39,675:INFO:Fitting Model
  12382. 2022-01-24 17:09:40,059:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12383. criterion='gini', max_depth=None, max_features='auto',
  12384. max_leaf_nodes=None, max_samples=None,
  12385. min_impurity_decrease=0.0, min_impurity_split=None,
  12386. min_samples_leaf=1, min_samples_split=2,
  12387. min_weight_fraction_leaf=0.0, n_estimators=100,
  12388. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12389. warm_start=False)
  12390. 2022-01-24 17:09:40,060:INFO:create_models() succesfully completed......................................
  12391. 2022-01-24 17:09:40,155:INFO:Initializing create_model()
  12392. 2022-01-24 17:09:40,155:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  12393. criterion='gini', max_depth=None, max_features='auto',
  12394. max_leaf_nodes=None, max_samples=None,
  12395. min_impurity_decrease=0.0, min_impurity_split=None,
  12396. min_samples_leaf=1, min_samples_split=2,
  12397. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  12398. oob_score=False, random_state=6174, verbose=0,
  12399. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12400. 2022-01-24 17:09:40,155:INFO:Checking exceptions
  12401. 2022-01-24 17:09:40,155:INFO:Importing libraries
  12402. 2022-01-24 17:09:40,156:INFO:Copying training dataset
  12403. 2022-01-24 17:09:40,157:INFO:Defining folds
  12404. 2022-01-24 17:09:40,157:INFO:Declaring metric variables
  12405. 2022-01-24 17:09:40,157:INFO:Importing untrained model
  12406. 2022-01-24 17:09:40,157:INFO:Declaring custom model
  12407. 2022-01-24 17:09:40,158:INFO:Extra Trees Classifier Imported succesfully
  12408. 2022-01-24 17:09:40,158:INFO:Cross validation set to False
  12409. 2022-01-24 17:09:40,158:INFO:Fitting Model
  12410. 2022-01-24 17:09:40,478:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  12411. criterion='gini', max_depth=None, max_features='auto',
  12412. max_leaf_nodes=None, max_samples=None,
  12413. min_impurity_decrease=0.0, min_impurity_split=None,
  12414. min_samples_leaf=1, min_samples_split=2,
  12415. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  12416. oob_score=False, random_state=6174, verbose=0,
  12417. warm_start=False)
  12418. 2022-01-24 17:09:40,478:INFO:create_models() succesfully completed......................................
  12419. 2022-01-24 17:09:40,583:INFO:Initializing create_model()
  12420. 2022-01-24 17:09:40,583:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12421. max_depth=None, max_features=None, max_leaf_nodes=None,
  12422. min_impurity_decrease=0.0, min_impurity_split=None,
  12423. min_samples_leaf=1, min_samples_split=2,
  12424. min_weight_fraction_leaf=0.0, presort='deprecated',
  12425. random_state=6174, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12426. 2022-01-24 17:09:40,583:INFO:Checking exceptions
  12427. 2022-01-24 17:09:40,584:INFO:Importing libraries
  12428. 2022-01-24 17:09:40,584:INFO:Copying training dataset
  12429. 2022-01-24 17:09:40,585:INFO:Defining folds
  12430. 2022-01-24 17:09:40,585:INFO:Declaring metric variables
  12431. 2022-01-24 17:09:40,585:INFO:Importing untrained model
  12432. 2022-01-24 17:09:40,585:INFO:Declaring custom model
  12433. 2022-01-24 17:09:40,586:INFO:Decision Tree Classifier Imported succesfully
  12434. 2022-01-24 17:09:40,586:INFO:Cross validation set to False
  12435. 2022-01-24 17:09:40,587:INFO:Fitting Model
  12436. 2022-01-24 17:09:40,683:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12437. max_depth=None, max_features=None, max_leaf_nodes=None,
  12438. min_impurity_decrease=0.0, min_impurity_split=None,
  12439. min_samples_leaf=1, min_samples_split=2,
  12440. min_weight_fraction_leaf=0.0, presort='deprecated',
  12441. random_state=6174, splitter='best')
  12442. 2022-01-24 17:09:40,684:INFO:create_models() succesfully completed......................................
  12443. 2022-01-24 17:09:40,769:INFO:Initializing create_model()
  12444. 2022-01-24 17:09:40,770:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12445. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12446. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12447. 2022-01-24 17:09:40,770:INFO:Checking exceptions
  12448. 2022-01-24 17:09:40,770:INFO:Importing libraries
  12449. 2022-01-24 17:09:40,770:INFO:Copying training dataset
  12450. 2022-01-24 17:09:40,771:INFO:Defining folds
  12451. 2022-01-24 17:09:40,771:INFO:Declaring metric variables
  12452. 2022-01-24 17:09:40,772:INFO:Importing untrained model
  12453. 2022-01-24 17:09:40,772:INFO:Declaring custom model
  12454. 2022-01-24 17:09:40,772:INFO:K Neighbors Classifier Imported succesfully
  12455. 2022-01-24 17:09:40,772:INFO:Cross validation set to False
  12456. 2022-01-24 17:09:40,773:INFO:Fitting Model
  12457. 2022-01-24 17:09:42,392:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12458. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12459. weights='uniform')
  12460. 2022-01-24 17:09:42,392:INFO:create_models() succesfully completed......................................
  12461. 2022-01-24 17:09:42,474:INFO:Initializing create_model()
  12462. 2022-01-24 17:09:42,474:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  12463. importance_type='split', learning_rate=0.1, max_depth=-1,
  12464. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  12465. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  12466. random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  12467. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12468. 2022-01-24 17:09:42,475:INFO:Checking exceptions
  12469. 2022-01-24 17:09:42,475:INFO:Importing libraries
  12470. 2022-01-24 17:09:42,475:INFO:Copying training dataset
  12471. 2022-01-24 17:09:42,476:INFO:Defining folds
  12472. 2022-01-24 17:09:42,476:INFO:Declaring metric variables
  12473. 2022-01-24 17:09:42,476:INFO:Importing untrained model
  12474. 2022-01-24 17:09:42,477:INFO:Declaring custom model
  12475. 2022-01-24 17:09:42,477:INFO:Light Gradient Boosting Machine Imported succesfully
  12476. 2022-01-24 17:09:42,477:INFO:Cross validation set to False
  12477. 2022-01-24 17:09:42,478:INFO:Fitting Model
  12478. 2022-01-24 17:09:42,693:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  12479. importance_type='split', learning_rate=0.1, max_depth=-1,
  12480. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  12481. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  12482. random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  12483. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  12484. 2022-01-24 17:09:42,693:INFO:create_models() succesfully completed......................................
  12485. 2022-01-24 17:09:42,779:INFO:Initializing create_model()
  12486. 2022-01-24 17:09:42,780:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12487. learning_rate=0.1, loss='deviance', max_depth=3,
  12488. max_features=None, max_leaf_nodes=None,
  12489. min_impurity_decrease=0.0, min_impurity_split=None,
  12490. min_samples_leaf=1, min_samples_split=2,
  12491. min_weight_fraction_leaf=0.0, n_estimators=100,
  12492. n_iter_no_change=None, presort='deprecated',
  12493. random_state=6174, subsample=1.0, tol=0.0001,
  12494. validation_fraction=0.1, verbose=0,
  12495. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12496. 2022-01-24 17:09:42,780:INFO:Checking exceptions
  12497. 2022-01-24 17:09:42,780:INFO:Importing libraries
  12498. 2022-01-24 17:09:42,780:INFO:Copying training dataset
  12499. 2022-01-24 17:09:42,781:INFO:Defining folds
  12500. 2022-01-24 17:09:42,781:INFO:Declaring metric variables
  12501. 2022-01-24 17:09:42,781:INFO:Importing untrained model
  12502. 2022-01-24 17:09:42,782:INFO:Declaring custom model
  12503. 2022-01-24 17:09:42,782:INFO:Gradient Boosting Classifier Imported succesfully
  12504. 2022-01-24 17:09:42,782:INFO:Cross validation set to False
  12505. 2022-01-24 17:09:42,783:INFO:Fitting Model
  12506. 2022-01-24 17:09:45,257:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12507. learning_rate=0.1, loss='deviance', max_depth=3,
  12508. max_features=None, max_leaf_nodes=None,
  12509. min_impurity_decrease=0.0, min_impurity_split=None,
  12510. min_samples_leaf=1, min_samples_split=2,
  12511. min_weight_fraction_leaf=0.0, n_estimators=100,
  12512. n_iter_no_change=None, presort='deprecated',
  12513. random_state=6174, subsample=1.0, tol=0.0001,
  12514. validation_fraction=0.1, verbose=0,
  12515. warm_start=False)
  12516. 2022-01-24 17:09:45,258:INFO:create_models() succesfully completed......................................
  12517. 2022-01-24 17:09:45,362:INFO:create_model_container: 14
  12518. 2022-01-24 17:09:45,362:INFO:master_model_container: 14
  12519. 2022-01-24 17:09:45,363:INFO:display_container: 2
  12520. 2022-01-24 17:09:45,364:INFO:[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12521. criterion='gini', max_depth=None, max_features='auto',
  12522. max_leaf_nodes=None, max_samples=None,
  12523. min_impurity_decrease=0.0, min_impurity_split=None,
  12524. min_samples_leaf=1, min_samples_split=2,
  12525. min_weight_fraction_leaf=0.0, n_estimators=100,
  12526. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12527. warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  12528. criterion='gini', max_depth=None, max_features='auto',
  12529. max_leaf_nodes=None, max_samples=None,
  12530. min_impurity_decrease=0.0, min_impurity_split=None,
  12531. min_samples_leaf=1, min_samples_split=2,
  12532. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  12533. oob_score=False, random_state=6174, verbose=0,
  12534. warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12535. max_depth=None, max_features=None, max_leaf_nodes=None,
  12536. min_impurity_decrease=0.0, min_impurity_split=None,
  12537. min_samples_leaf=1, min_samples_split=2,
  12538. min_weight_fraction_leaf=0.0, presort='deprecated',
  12539. random_state=6174, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12540. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12541. weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  12542. importance_type='split', learning_rate=0.1, max_depth=-1,
  12543. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  12544. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  12545. random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  12546. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12547. learning_rate=0.1, loss='deviance', max_depth=3,
  12548. max_features=None, max_leaf_nodes=None,
  12549. min_impurity_decrease=0.0, min_impurity_split=None,
  12550. min_samples_leaf=1, min_samples_split=2,
  12551. min_weight_fraction_leaf=0.0, n_estimators=100,
  12552. n_iter_no_change=None, presort='deprecated',
  12553. random_state=6174, subsample=1.0, tol=0.0001,
  12554. validation_fraction=0.1, verbose=0,
  12555. warm_start=False)]
  12556. 2022-01-24 17:09:45,364:INFO:compare_models() succesfully completed......................................
  12557. 2022-01-24 17:48:37,127:INFO:Initializing create_model()
  12558. 2022-01-24 17:48:37,127:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  12559. 2022-01-24 17:48:37,127:INFO:Checking exceptions
  12560. 2022-01-24 17:48:37,128:INFO:Preparing display monitor
  12561. 2022-01-24 17:48:37,139:INFO:Importing libraries
  12562. 2022-01-24 17:48:37,139:INFO:Copying training dataset
  12563. 2022-01-24 17:48:37,142:INFO:Defining folds
  12564. 2022-01-24 17:48:37,143:INFO:Declaring metric variables
  12565. 2022-01-24 17:48:37,148:INFO:Importing untrained model
  12566. 2022-01-24 17:48:37,153:INFO:Random Forest Classifier Imported succesfully
  12567. 2022-01-24 17:48:37,163:INFO:Starting cross validation
  12568. 2022-01-24 17:48:37,163:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12569. 2022-01-24 17:48:44,746:INFO:Calculating mean and std
  12570. 2022-01-24 17:48:44,747:INFO:Creating metrics dataframe
  12571. 2022-01-24 17:48:44,754:INFO:Finalizing model
  12572. 2022-01-24 17:48:45,135:INFO:Uploading results into container
  12573. 2022-01-24 17:48:45,136:INFO:Uploading model into container now
  12574. 2022-01-24 17:48:45,147:INFO:create_model_container: 15
  12575. 2022-01-24 17:48:45,147:INFO:master_model_container: 15
  12576. 2022-01-24 17:48:45,147:INFO:display_container: 3
  12577. 2022-01-24 17:48:45,148:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12578. criterion='gini', max_depth=None, max_features='auto',
  12579. max_leaf_nodes=None, max_samples=None,
  12580. min_impurity_decrease=0.0, min_impurity_split=None,
  12581. min_samples_leaf=1, min_samples_split=2,
  12582. min_weight_fraction_leaf=0.0, n_estimators=100,
  12583. n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
  12584. warm_start=False)
  12585. 2022-01-24 17:48:45,148:INFO:create_model() succesfully completed......................................
  12586. 2022-01-26 09:07:16,053:INFO:PyCaret Supervised Module
  12587. 2022-01-26 09:07:16,054:INFO:ML Usecase: classification
  12588. 2022-01-26 09:07:16,054:INFO:version 2.3.6
  12589. 2022-01-26 09:07:16,054:INFO:Initializing setup()
  12590. 2022-01-26 09:07:16,054:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  12591. 2022-01-26 09:07:16,054:INFO:Checking environment
  12592. 2022-01-26 09:07:16,055:INFO:python_version: 3.8.8
  12593. 2022-01-26 09:07:16,055:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  12594. 2022-01-26 09:07:16,055:INFO:machine: x86_64
  12595. 2022-01-26 09:07:16,055:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  12596. 2022-01-26 09:07:16,055:INFO:Memory: svmem(total=33619935232, available=28006727680, percent=16.7, used=4758519808, free=25001771008, active=1614712832, inactive=6329372672, buffers=996823040, cached=2862821376, shared=383610880, slab=326078464)
  12597. 2022-01-26 09:07:16,056:INFO:Physical Core: 16
  12598. 2022-01-26 09:07:16,056:INFO:Logical Core: 32
  12599. 2022-01-26 09:07:16,056:INFO:Checking libraries
  12600. 2022-01-26 09:07:16,057:INFO:pd==1.2.4
  12601. 2022-01-26 09:07:16,057:INFO:numpy==1.19.5
  12602. 2022-01-26 09:07:16,057:INFO:sklearn==0.23.2
  12603. 2022-01-26 09:07:16,057:INFO:lightgbm==3.3.2
  12604. 2022-01-26 09:07:16,059:WARNING:catboost not found
  12605. 2022-01-26 09:07:16,059:WARNING:xgboost not found
  12606. 2022-01-26 09:07:16,186:INFO:mlflow==1.22.0
  12607. 2022-01-26 09:07:16,187:INFO:Checking Exceptions
  12608. 2022-01-26 09:07:16,187:INFO:Declaring global variables
  12609. 2022-01-26 09:07:16,187:INFO:USI: f395
  12610. 2022-01-26 09:07:16,187:INFO:pycaret_globals: {'create_model_container', 'fold_generator', 'n_jobs_param', 'y_test', '_ml_usecase', 'imputation_classifier', 'log_plots_param', 'transform_target_method_param', '_internal_pipeline', 'fix_imbalance_method_param', '_all_models_internal', 'stratify_param', 'seed', 'experiment__', 'master_model_container', 'X_test', '_all_metrics', 'html_param', 'logging_param', 'y', 'gpu_param', 'prep_pipe', 'fold_param', 'data_before_preprocess', 'target_param', '_all_models', 'transform_target_param', 'display_container', 'fold_groups_param', 'USI', 'pycaret_globals', 'fold_groups_param_full', '_available_plots', 'y_train', 'iterative_imputation_iters_param', 'imputation_regressor', 'fold_shuffle_param', 'X', 'fix_imbalance_param', 'X_train', '_gpu_n_jobs_param', 'exp_name_log'}
  12611. 2022-01-26 09:07:16,188:INFO:Preparing display monitor
  12612. 2022-01-26 09:07:16,188:INFO:Preparing display monitor
  12613. 2022-01-26 09:07:16,198:INFO:Importing libraries
  12614. 2022-01-26 09:07:16,198:INFO:Copying data for preprocessing
  12615. 2022-01-26 09:07:16,205:INFO:Declaring preprocessing parameters
  12616. 2022-01-26 09:07:16,206:WARNING:cuML not found
  12617. 2022-01-26 09:07:16,206:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  12618. 2022-01-26 09:07:16,210:INFO:Creating preprocessing pipeline
  12619. 2022-01-26 09:07:16,264:INFO:Preprocessing pipeline created successfully
  12620. 2022-01-26 09:07:16,264:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  12621. 2022-01-26 09:07:16,265:INFO:Creating global containers
  12622. 2022-01-26 09:07:16,265:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  12623. 2022-01-26 09:07:19,269:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  12624. 2022-01-26 09:07:19,296:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  12625. 2022-01-26 09:07:19,297:WARNING:Couldn't import cuml.MBSGDClassifier
  12626. 2022-01-26 09:07:19,298:WARNING:Couldn't import cuml.svm.SVC
  12627. 2022-01-26 09:07:19,313:WARNING:Couldn't import cuml.linear_model
  12628. 2022-01-26 09:07:19,316:WARNING:Couldn't import cuml.ensemble
  12629. 2022-01-26 09:07:19,319:WARNING:Couldn't import xgboost.XGBClassifier
  12630. 2022-01-26 09:07:19,324:WARNING:Couldn't import catboost.CatBoostClassifier
  12631. 2022-01-26 09:07:19,325:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  12632. 2022-01-26 09:07:19,354:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  12633. 2022-01-26 09:07:19,355:WARNING:Couldn't import cuml.MBSGDClassifier
  12634. 2022-01-26 09:07:19,356:WARNING:Couldn't import cuml.svm.SVC
  12635. 2022-01-26 09:07:19,369:WARNING:Couldn't import cuml.linear_model
  12636. 2022-01-26 09:07:19,372:WARNING:Couldn't import cuml.ensemble
  12637. 2022-01-26 09:07:19,374:WARNING:Couldn't import xgboost.XGBClassifier
  12638. 2022-01-26 09:07:19,377:WARNING:Couldn't import catboost.CatBoostClassifier
  12639. 2022-01-26 09:07:19,378:INFO:Creating grid variables
  12640. 2022-01-26 09:07:19,391:INFO:create_model_container: 0
  12641. 2022-01-26 09:07:19,391:INFO:master_model_container: 0
  12642. 2022-01-26 09:07:19,391:INFO:display_container: 1
  12643. 2022-01-26 09:07:19,394:INFO:Pipeline(memory=None,
  12644. steps=[('dtypes',
  12645. DataTypes_Auto_infer(categorical_features=[],
  12646. display_types=True, features_todrop=[],
  12647. id_columns=['Unnamed: 0'],
  12648. ml_usecase='classification',
  12649. numerical_features=[], target='label',
  12650. time_features=[])),
  12651. ('imputer',
  12652. Simple_Imputer(categorical_strategy='not_available',
  12653. fill_value_categorical=None,
  12654. fill_value_numerical=None,
  12655. num...
  12656. target='label')),
  12657. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  12658. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  12659. ('dummy', Dummify(target='label')),
  12660. ('fix_perfect', Remove_100(target='label')),
  12661. ('clean_names', Clean_Colum_Names()),
  12662. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  12663. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  12664. verbose=False)
  12665. 2022-01-26 09:07:19,395:INFO:setup() succesfully completed......................................
  12666. 2022-01-26 09:07:29,383:INFO:Initializing compare_models()
  12667. 2022-01-26 09:07:29,383:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  12668. 2022-01-26 09:07:29,383:INFO:Checking exceptions
  12669. 2022-01-26 09:07:29,384:INFO:Preparing display monitor
  12670. 2022-01-26 09:07:29,384:INFO:Preparing display monitor
  12671. 2022-01-26 09:07:29,402:INFO:Initializing Logistic Regression
  12672. 2022-01-26 09:07:29,402:INFO:Total runtime is 5.821386973063151e-06 minutes
  12673. 2022-01-26 09:07:29,408:INFO:SubProcess create_model() called ==================================
  12674. 2022-01-26 09:07:29,408:INFO:Initializing create_model()
  12675. 2022-01-26 09:07:29,408:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12676. 2022-01-26 09:07:29,409:INFO:Checking exceptions
  12677. 2022-01-26 09:07:29,409:INFO:Importing libraries
  12678. 2022-01-26 09:07:29,409:INFO:Copying training dataset
  12679. 2022-01-26 09:07:29,410:INFO:Defining folds
  12680. 2022-01-26 09:07:29,411:INFO:Declaring metric variables
  12681. 2022-01-26 09:07:29,416:INFO:Importing untrained model
  12682. 2022-01-26 09:07:29,421:INFO:Logistic Regression Imported succesfully
  12683. 2022-01-26 09:07:29,432:INFO:Starting cross validation
  12684. 2022-01-26 09:07:29,433:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12685. 2022-01-26 09:07:35,669:INFO:Calculating mean and std
  12686. 2022-01-26 09:07:35,670:INFO:Creating metrics dataframe
  12687. 2022-01-26 09:07:35,676:INFO:Uploading results into container
  12688. 2022-01-26 09:07:35,679:INFO:Uploading model into container now
  12689. 2022-01-26 09:07:35,679:INFO:create_model_container: 1
  12690. 2022-01-26 09:07:35,682:INFO:master_model_container: 1
  12691. 2022-01-26 09:07:35,683:INFO:display_container: 2
  12692. 2022-01-26 09:07:35,684:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  12693. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  12694. multi_class='auto', n_jobs=None, penalty='l2',
  12695. random_state=4718, solver='lbfgs', tol=0.0001, verbose=0,
  12696. warm_start=False)
  12697. 2022-01-26 09:07:35,684:INFO:create_model() succesfully completed......................................
  12698. 2022-01-26 09:07:35,766:INFO:SubProcess create_model() end ==================================
  12699. 2022-01-26 09:07:35,766:INFO:Creating metrics dataframe
  12700. 2022-01-26 09:07:35,775:INFO:Initializing K Neighbors Classifier
  12701. 2022-01-26 09:07:35,775:INFO:Total runtime is 0.1062253475189209 minutes
  12702. 2022-01-26 09:07:35,781:INFO:SubProcess create_model() called ==================================
  12703. 2022-01-26 09:07:35,781:INFO:Initializing create_model()
  12704. 2022-01-26 09:07:35,781:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12705. 2022-01-26 09:07:35,781:INFO:Checking exceptions
  12706. 2022-01-26 09:07:35,782:INFO:Importing libraries
  12707. 2022-01-26 09:07:35,782:INFO:Copying training dataset
  12708. 2022-01-26 09:07:35,783:INFO:Defining folds
  12709. 2022-01-26 09:07:35,783:INFO:Declaring metric variables
  12710. 2022-01-26 09:07:35,788:INFO:Importing untrained model
  12711. 2022-01-26 09:07:35,793:INFO:K Neighbors Classifier Imported succesfully
  12712. 2022-01-26 09:07:35,804:INFO:Starting cross validation
  12713. 2022-01-26 09:07:35,805:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12714. 2022-01-26 09:07:49,942:INFO:Calculating mean and std
  12715. 2022-01-26 09:07:49,943:INFO:Creating metrics dataframe
  12716. 2022-01-26 09:07:49,946:INFO:Uploading results into container
  12717. 2022-01-26 09:07:49,946:INFO:Uploading model into container now
  12718. 2022-01-26 09:07:49,946:INFO:create_model_container: 2
  12719. 2022-01-26 09:07:49,946:INFO:master_model_container: 2
  12720. 2022-01-26 09:07:49,947:INFO:display_container: 2
  12721. 2022-01-26 09:07:49,947:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  12722. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  12723. weights='uniform')
  12724. 2022-01-26 09:07:49,947:INFO:create_model() succesfully completed......................................
  12725. 2022-01-26 09:07:50,023:INFO:SubProcess create_model() end ==================================
  12726. 2022-01-26 09:07:50,024:INFO:Creating metrics dataframe
  12727. 2022-01-26 09:07:50,034:INFO:Initializing Naive Bayes
  12728. 2022-01-26 09:07:50,034:INFO:Total runtime is 0.34387213389078775 minutes
  12729. 2022-01-26 09:07:50,040:INFO:SubProcess create_model() called ==================================
  12730. 2022-01-26 09:07:50,040:INFO:Initializing create_model()
  12731. 2022-01-26 09:07:50,040:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12732. 2022-01-26 09:07:50,040:INFO:Checking exceptions
  12733. 2022-01-26 09:07:50,040:INFO:Importing libraries
  12734. 2022-01-26 09:07:50,040:INFO:Copying training dataset
  12735. 2022-01-26 09:07:50,043:INFO:Defining folds
  12736. 2022-01-26 09:07:50,044:INFO:Declaring metric variables
  12737. 2022-01-26 09:07:50,049:INFO:Importing untrained model
  12738. 2022-01-26 09:07:50,054:INFO:Naive Bayes Imported succesfully
  12739. 2022-01-26 09:07:50,064:INFO:Starting cross validation
  12740. 2022-01-26 09:07:50,065:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12741. 2022-01-26 09:07:50,298:INFO:Calculating mean and std
  12742. 2022-01-26 09:07:50,299:INFO:Creating metrics dataframe
  12743. 2022-01-26 09:07:50,302:INFO:Uploading results into container
  12744. 2022-01-26 09:07:50,302:INFO:Uploading model into container now
  12745. 2022-01-26 09:07:50,302:INFO:create_model_container: 3
  12746. 2022-01-26 09:07:50,302:INFO:master_model_container: 3
  12747. 2022-01-26 09:07:50,303:INFO:display_container: 2
  12748. 2022-01-26 09:07:50,303:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  12749. 2022-01-26 09:07:50,303:INFO:create_model() succesfully completed......................................
  12750. 2022-01-26 09:07:50,367:INFO:SubProcess create_model() end ==================================
  12751. 2022-01-26 09:07:50,368:INFO:Creating metrics dataframe
  12752. 2022-01-26 09:07:50,379:INFO:Initializing Decision Tree Classifier
  12753. 2022-01-26 09:07:50,379:INFO:Total runtime is 0.3496158758799235 minutes
  12754. 2022-01-26 09:07:50,385:INFO:SubProcess create_model() called ==================================
  12755. 2022-01-26 09:07:50,385:INFO:Initializing create_model()
  12756. 2022-01-26 09:07:50,385:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12757. 2022-01-26 09:07:50,385:INFO:Checking exceptions
  12758. 2022-01-26 09:07:50,385:INFO:Importing libraries
  12759. 2022-01-26 09:07:50,386:INFO:Copying training dataset
  12760. 2022-01-26 09:07:50,387:INFO:Defining folds
  12761. 2022-01-26 09:07:50,387:INFO:Declaring metric variables
  12762. 2022-01-26 09:07:50,392:INFO:Importing untrained model
  12763. 2022-01-26 09:07:50,397:INFO:Decision Tree Classifier Imported succesfully
  12764. 2022-01-26 09:07:50,407:INFO:Starting cross validation
  12765. 2022-01-26 09:07:50,408:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12766. 2022-01-26 09:07:51,665:INFO:Calculating mean and std
  12767. 2022-01-26 09:07:51,666:INFO:Creating metrics dataframe
  12768. 2022-01-26 09:07:51,669:INFO:Uploading results into container
  12769. 2022-01-26 09:07:51,669:INFO:Uploading model into container now
  12770. 2022-01-26 09:07:51,669:INFO:create_model_container: 4
  12771. 2022-01-26 09:07:51,669:INFO:master_model_container: 4
  12772. 2022-01-26 09:07:51,669:INFO:display_container: 2
  12773. 2022-01-26 09:07:51,670:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  12774. max_depth=None, max_features=None, max_leaf_nodes=None,
  12775. min_impurity_decrease=0.0, min_impurity_split=None,
  12776. min_samples_leaf=1, min_samples_split=2,
  12777. min_weight_fraction_leaf=0.0, presort='deprecated',
  12778. random_state=4718, splitter='best')
  12779. 2022-01-26 09:07:51,670:INFO:create_model() succesfully completed......................................
  12780. 2022-01-26 09:07:51,744:INFO:SubProcess create_model() end ==================================
  12781. 2022-01-26 09:07:51,744:INFO:Creating metrics dataframe
  12782. 2022-01-26 09:07:51,755:INFO:Initializing SVM - Linear Kernel
  12783. 2022-01-26 09:07:51,755:INFO:Total runtime is 0.3725543657938639 minutes
  12784. 2022-01-26 09:07:51,760:INFO:SubProcess create_model() called ==================================
  12785. 2022-01-26 09:07:51,761:INFO:Initializing create_model()
  12786. 2022-01-26 09:07:51,761:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12787. 2022-01-26 09:07:51,761:INFO:Checking exceptions
  12788. 2022-01-26 09:07:51,761:INFO:Importing libraries
  12789. 2022-01-26 09:07:51,762:INFO:Copying training dataset
  12790. 2022-01-26 09:07:51,763:INFO:Defining folds
  12791. 2022-01-26 09:07:51,763:INFO:Declaring metric variables
  12792. 2022-01-26 09:07:51,768:INFO:Importing untrained model
  12793. 2022-01-26 09:07:51,773:INFO:SVM - Linear Kernel Imported succesfully
  12794. 2022-01-26 09:07:51,783:INFO:Starting cross validation
  12795. 2022-01-26 09:07:51,784:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12796. 2022-01-26 09:07:52,996:INFO:Calculating mean and std
  12797. 2022-01-26 09:07:52,998:INFO:Creating metrics dataframe
  12798. 2022-01-26 09:07:53,006:INFO:Uploading results into container
  12799. 2022-01-26 09:07:53,006:INFO:Uploading model into container now
  12800. 2022-01-26 09:07:53,007:INFO:create_model_container: 5
  12801. 2022-01-26 09:07:53,007:INFO:master_model_container: 5
  12802. 2022-01-26 09:07:53,007:INFO:display_container: 2
  12803. 2022-01-26 09:07:53,008:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  12804. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  12805. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  12806. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  12807. power_t=0.5, random_state=4718, shuffle=True, tol=0.001,
  12808. validation_fraction=0.1, verbose=0, warm_start=False)
  12809. 2022-01-26 09:07:53,008:INFO:create_model() succesfully completed......................................
  12810. 2022-01-26 09:07:53,091:INFO:SubProcess create_model() end ==================================
  12811. 2022-01-26 09:07:53,091:INFO:Creating metrics dataframe
  12812. 2022-01-26 09:07:53,102:INFO:Initializing Ridge Classifier
  12813. 2022-01-26 09:07:53,103:INFO:Total runtime is 0.3950118064880371 minutes
  12814. 2022-01-26 09:07:53,108:INFO:SubProcess create_model() called ==================================
  12815. 2022-01-26 09:07:53,108:INFO:Initializing create_model()
  12816. 2022-01-26 09:07:53,108:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12817. 2022-01-26 09:07:53,108:INFO:Checking exceptions
  12818. 2022-01-26 09:07:53,109:INFO:Importing libraries
  12819. 2022-01-26 09:07:53,109:INFO:Copying training dataset
  12820. 2022-01-26 09:07:53,110:INFO:Defining folds
  12821. 2022-01-26 09:07:53,110:INFO:Declaring metric variables
  12822. 2022-01-26 09:07:53,115:INFO:Importing untrained model
  12823. 2022-01-26 09:07:53,120:INFO:Ridge Classifier Imported succesfully
  12824. 2022-01-26 09:07:53,130:INFO:Starting cross validation
  12825. 2022-01-26 09:07:53,131:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12826. 2022-01-26 09:07:53,845:INFO:Calculating mean and std
  12827. 2022-01-26 09:07:53,849:INFO:Creating metrics dataframe
  12828. 2022-01-26 09:07:53,856:INFO:Uploading results into container
  12829. 2022-01-26 09:07:53,857:INFO:Uploading model into container now
  12830. 2022-01-26 09:07:53,857:INFO:create_model_container: 6
  12831. 2022-01-26 09:07:53,857:INFO:master_model_container: 6
  12832. 2022-01-26 09:07:53,857:INFO:display_container: 2
  12833. 2022-01-26 09:07:53,858:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  12834. max_iter=None, normalize=False, random_state=4718,
  12835. solver='auto', tol=0.001)
  12836. 2022-01-26 09:07:53,858:INFO:create_model() succesfully completed......................................
  12837. 2022-01-26 09:07:53,945:INFO:SubProcess create_model() end ==================================
  12838. 2022-01-26 09:07:53,945:INFO:Creating metrics dataframe
  12839. 2022-01-26 09:07:53,957:INFO:Initializing Random Forest Classifier
  12840. 2022-01-26 09:07:53,957:INFO:Total runtime is 0.409252389272054 minutes
  12841. 2022-01-26 09:07:53,963:INFO:SubProcess create_model() called ==================================
  12842. 2022-01-26 09:07:53,963:INFO:Initializing create_model()
  12843. 2022-01-26 09:07:53,964:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12844. 2022-01-26 09:07:53,964:INFO:Checking exceptions
  12845. 2022-01-26 09:07:53,964:INFO:Importing libraries
  12846. 2022-01-26 09:07:53,964:INFO:Copying training dataset
  12847. 2022-01-26 09:07:53,966:INFO:Defining folds
  12848. 2022-01-26 09:07:53,966:INFO:Declaring metric variables
  12849. 2022-01-26 09:07:53,971:INFO:Importing untrained model
  12850. 2022-01-26 09:07:53,976:INFO:Random Forest Classifier Imported succesfully
  12851. 2022-01-26 09:07:53,986:INFO:Starting cross validation
  12852. 2022-01-26 09:07:53,986:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12853. 2022-01-26 09:08:00,672:INFO:Calculating mean and std
  12854. 2022-01-26 09:08:00,673:INFO:Creating metrics dataframe
  12855. 2022-01-26 09:08:00,676:INFO:Uploading results into container
  12856. 2022-01-26 09:08:00,677:INFO:Uploading model into container now
  12857. 2022-01-26 09:08:00,677:INFO:create_model_container: 7
  12858. 2022-01-26 09:08:00,677:INFO:master_model_container: 7
  12859. 2022-01-26 09:08:00,677:INFO:display_container: 2
  12860. 2022-01-26 09:08:00,678:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  12861. criterion='gini', max_depth=None, max_features='auto',
  12862. max_leaf_nodes=None, max_samples=None,
  12863. min_impurity_decrease=0.0, min_impurity_split=None,
  12864. min_samples_leaf=1, min_samples_split=2,
  12865. min_weight_fraction_leaf=0.0, n_estimators=100,
  12866. n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
  12867. warm_start=False)
  12868. 2022-01-26 09:08:00,678:INFO:create_model() succesfully completed......................................
  12869. 2022-01-26 09:08:00,749:INFO:SubProcess create_model() end ==================================
  12870. 2022-01-26 09:08:00,749:INFO:Creating metrics dataframe
  12871. 2022-01-26 09:08:00,762:INFO:Initializing Quadratic Discriminant Analysis
  12872. 2022-01-26 09:08:00,762:INFO:Total runtime is 0.5226710319519042 minutes
  12873. 2022-01-26 09:08:00,768:INFO:SubProcess create_model() called ==================================
  12874. 2022-01-26 09:08:00,768:INFO:Initializing create_model()
  12875. 2022-01-26 09:08:00,768:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12876. 2022-01-26 09:08:00,768:INFO:Checking exceptions
  12877. 2022-01-26 09:08:00,769:INFO:Importing libraries
  12878. 2022-01-26 09:08:00,769:INFO:Copying training dataset
  12879. 2022-01-26 09:08:00,770:INFO:Defining folds
  12880. 2022-01-26 09:08:00,770:INFO:Declaring metric variables
  12881. 2022-01-26 09:08:00,775:INFO:Importing untrained model
  12882. 2022-01-26 09:08:00,780:INFO:Quadratic Discriminant Analysis Imported succesfully
  12883. 2022-01-26 09:08:00,791:INFO:Starting cross validation
  12884. 2022-01-26 09:08:00,791:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12885. 2022-01-26 09:08:01,619:INFO:Calculating mean and std
  12886. 2022-01-26 09:08:01,620:INFO:Creating metrics dataframe
  12887. 2022-01-26 09:08:01,625:INFO:Uploading results into container
  12888. 2022-01-26 09:08:01,626:INFO:Uploading model into container now
  12889. 2022-01-26 09:08:01,626:INFO:create_model_container: 8
  12890. 2022-01-26 09:08:01,627:INFO:master_model_container: 8
  12891. 2022-01-26 09:08:01,627:INFO:display_container: 2
  12892. 2022-01-26 09:08:01,627:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  12893. store_covariance=False, tol=0.0001)
  12894. 2022-01-26 09:08:01,628:INFO:create_model() succesfully completed......................................
  12895. 2022-01-26 09:08:01,710:INFO:SubProcess create_model() end ==================================
  12896. 2022-01-26 09:08:01,710:INFO:Creating metrics dataframe
  12897. 2022-01-26 09:08:01,722:INFO:Initializing Ada Boost Classifier
  12898. 2022-01-26 09:08:01,723:INFO:Total runtime is 0.5386785705884297 minutes
  12899. 2022-01-26 09:08:01,728:INFO:SubProcess create_model() called ==================================
  12900. 2022-01-26 09:08:01,729:INFO:Initializing create_model()
  12901. 2022-01-26 09:08:01,729:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12902. 2022-01-26 09:08:01,729:INFO:Checking exceptions
  12903. 2022-01-26 09:08:01,729:INFO:Importing libraries
  12904. 2022-01-26 09:08:01,730:INFO:Copying training dataset
  12905. 2022-01-26 09:08:01,731:INFO:Defining folds
  12906. 2022-01-26 09:08:01,731:INFO:Declaring metric variables
  12907. 2022-01-26 09:08:01,736:INFO:Importing untrained model
  12908. 2022-01-26 09:08:01,741:INFO:Ada Boost Classifier Imported succesfully
  12909. 2022-01-26 09:08:01,751:INFO:Starting cross validation
  12910. 2022-01-26 09:08:01,752:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12911. 2022-01-26 09:08:09,099:INFO:Calculating mean and std
  12912. 2022-01-26 09:08:09,100:INFO:Creating metrics dataframe
  12913. 2022-01-26 09:08:09,102:INFO:Uploading results into container
  12914. 2022-01-26 09:08:09,102:INFO:Uploading model into container now
  12915. 2022-01-26 09:08:09,103:INFO:create_model_container: 9
  12916. 2022-01-26 09:08:09,103:INFO:master_model_container: 9
  12917. 2022-01-26 09:08:09,103:INFO:display_container: 2
  12918. 2022-01-26 09:08:09,103:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  12919. n_estimators=50, random_state=4718)
  12920. 2022-01-26 09:08:09,103:INFO:create_model() succesfully completed......................................
  12921. 2022-01-26 09:08:09,172:INFO:SubProcess create_model() end ==================================
  12922. 2022-01-26 09:08:09,173:INFO:Creating metrics dataframe
  12923. 2022-01-26 09:08:09,185:INFO:Initializing Gradient Boosting Classifier
  12924. 2022-01-26 09:08:09,186:INFO:Total runtime is 0.6630625208218892 minutes
  12925. 2022-01-26 09:08:09,191:INFO:SubProcess create_model() called ==================================
  12926. 2022-01-26 09:08:09,192:INFO:Initializing create_model()
  12927. 2022-01-26 09:08:09,192:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12928. 2022-01-26 09:08:09,192:INFO:Checking exceptions
  12929. 2022-01-26 09:08:09,192:INFO:Importing libraries
  12930. 2022-01-26 09:08:09,193:INFO:Copying training dataset
  12931. 2022-01-26 09:08:09,195:INFO:Defining folds
  12932. 2022-01-26 09:08:09,195:INFO:Declaring metric variables
  12933. 2022-01-26 09:08:09,200:INFO:Importing untrained model
  12934. 2022-01-26 09:08:09,205:INFO:Gradient Boosting Classifier Imported succesfully
  12935. 2022-01-26 09:08:09,216:INFO:Starting cross validation
  12936. 2022-01-26 09:08:09,216:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12937. 2022-01-26 09:08:35,087:INFO:Calculating mean and std
  12938. 2022-01-26 09:08:35,088:INFO:Creating metrics dataframe
  12939. 2022-01-26 09:08:35,091:INFO:Uploading results into container
  12940. 2022-01-26 09:08:35,091:INFO:Uploading model into container now
  12941. 2022-01-26 09:08:35,091:INFO:create_model_container: 10
  12942. 2022-01-26 09:08:35,091:INFO:master_model_container: 10
  12943. 2022-01-26 09:08:35,091:INFO:display_container: 2
  12944. 2022-01-26 09:08:35,092:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  12945. learning_rate=0.1, loss='deviance', max_depth=3,
  12946. max_features=None, max_leaf_nodes=None,
  12947. min_impurity_decrease=0.0, min_impurity_split=None,
  12948. min_samples_leaf=1, min_samples_split=2,
  12949. min_weight_fraction_leaf=0.0, n_estimators=100,
  12950. n_iter_no_change=None, presort='deprecated',
  12951. random_state=4718, subsample=1.0, tol=0.0001,
  12952. validation_fraction=0.1, verbose=0,
  12953. warm_start=False)
  12954. 2022-01-26 09:08:35,092:INFO:create_model() succesfully completed......................................
  12955. 2022-01-26 09:08:35,157:INFO:SubProcess create_model() end ==================================
  12956. 2022-01-26 09:08:35,158:INFO:Creating metrics dataframe
  12957. 2022-01-26 09:08:35,170:INFO:Initializing Linear Discriminant Analysis
  12958. 2022-01-26 09:08:35,170:INFO:Total runtime is 1.0961407860120138 minutes
  12959. 2022-01-26 09:08:35,176:INFO:SubProcess create_model() called ==================================
  12960. 2022-01-26 09:08:35,176:INFO:Initializing create_model()
  12961. 2022-01-26 09:08:35,176:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12962. 2022-01-26 09:08:35,176:INFO:Checking exceptions
  12963. 2022-01-26 09:08:35,177:INFO:Importing libraries
  12964. 2022-01-26 09:08:35,177:INFO:Copying training dataset
  12965. 2022-01-26 09:08:35,178:INFO:Defining folds
  12966. 2022-01-26 09:08:35,178:INFO:Declaring metric variables
  12967. 2022-01-26 09:08:35,183:INFO:Importing untrained model
  12968. 2022-01-26 09:08:35,188:INFO:Linear Discriminant Analysis Imported succesfully
  12969. 2022-01-26 09:08:35,198:INFO:Starting cross validation
  12970. 2022-01-26 09:08:35,199:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12971. 2022-01-26 09:08:37,142:INFO:Calculating mean and std
  12972. 2022-01-26 09:08:37,143:INFO:Creating metrics dataframe
  12973. 2022-01-26 09:08:37,147:INFO:Uploading results into container
  12974. 2022-01-26 09:08:37,147:INFO:Uploading model into container now
  12975. 2022-01-26 09:08:37,147:INFO:create_model_container: 11
  12976. 2022-01-26 09:08:37,148:INFO:master_model_container: 11
  12977. 2022-01-26 09:08:37,148:INFO:display_container: 2
  12978. 2022-01-26 09:08:37,148:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  12979. solver='svd', store_covariance=False, tol=0.0001)
  12980. 2022-01-26 09:08:37,148:INFO:create_model() succesfully completed......................................
  12981. 2022-01-26 09:08:37,228:INFO:SubProcess create_model() end ==================================
  12982. 2022-01-26 09:08:37,228:INFO:Creating metrics dataframe
  12983. 2022-01-26 09:08:37,241:INFO:Initializing Extra Trees Classifier
  12984. 2022-01-26 09:08:37,241:INFO:Total runtime is 1.1306507190068564 minutes
  12985. 2022-01-26 09:08:37,246:INFO:SubProcess create_model() called ==================================
  12986. 2022-01-26 09:08:37,247:INFO:Initializing create_model()
  12987. 2022-01-26 09:08:37,247:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  12988. 2022-01-26 09:08:37,247:INFO:Checking exceptions
  12989. 2022-01-26 09:08:37,247:INFO:Importing libraries
  12990. 2022-01-26 09:08:37,247:INFO:Copying training dataset
  12991. 2022-01-26 09:08:37,249:INFO:Defining folds
  12992. 2022-01-26 09:08:37,249:INFO:Declaring metric variables
  12993. 2022-01-26 09:08:37,254:INFO:Importing untrained model
  12994. 2022-01-26 09:08:37,259:INFO:Extra Trees Classifier Imported succesfully
  12995. 2022-01-26 09:08:37,270:INFO:Starting cross validation
  12996. 2022-01-26 09:08:37,270:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  12997. 2022-01-26 09:08:44,256:INFO:Calculating mean and std
  12998. 2022-01-26 09:08:44,257:INFO:Creating metrics dataframe
  12999. 2022-01-26 09:08:44,259:INFO:Uploading results into container
  13000. 2022-01-26 09:08:44,260:INFO:Uploading model into container now
  13001. 2022-01-26 09:08:44,260:INFO:create_model_container: 12
  13002. 2022-01-26 09:08:44,260:INFO:master_model_container: 12
  13003. 2022-01-26 09:08:44,260:INFO:display_container: 2
  13004. 2022-01-26 09:08:44,261:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13005. criterion='gini', max_depth=None, max_features='auto',
  13006. max_leaf_nodes=None, max_samples=None,
  13007. min_impurity_decrease=0.0, min_impurity_split=None,
  13008. min_samples_leaf=1, min_samples_split=2,
  13009. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13010. oob_score=False, random_state=4718, verbose=0,
  13011. warm_start=False)
  13012. 2022-01-26 09:08:44,261:INFO:create_model() succesfully completed......................................
  13013. 2022-01-26 09:08:44,332:INFO:SubProcess create_model() end ==================================
  13014. 2022-01-26 09:08:44,332:INFO:Creating metrics dataframe
  13015. 2022-01-26 09:08:44,345:INFO:Initializing Light Gradient Boosting Machine
  13016. 2022-01-26 09:08:44,345:INFO:Total runtime is 1.2490598758061728 minutes
  13017. 2022-01-26 09:08:44,351:INFO:SubProcess create_model() called ==================================
  13018. 2022-01-26 09:08:44,351:INFO:Initializing create_model()
  13019. 2022-01-26 09:08:44,351:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  13020. 2022-01-26 09:08:44,352:INFO:Checking exceptions
  13021. 2022-01-26 09:08:44,352:INFO:Importing libraries
  13022. 2022-01-26 09:08:44,352:INFO:Copying training dataset
  13023. 2022-01-26 09:08:44,353:INFO:Defining folds
  13024. 2022-01-26 09:08:44,353:INFO:Declaring metric variables
  13025. 2022-01-26 09:08:44,358:INFO:Importing untrained model
  13026. 2022-01-26 09:08:44,363:INFO:Light Gradient Boosting Machine Imported succesfully
  13027. 2022-01-26 09:08:44,375:INFO:Starting cross validation
  13028. 2022-01-26 09:08:44,375:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13029. 2022-01-26 09:08:47,510:INFO:Calculating mean and std
  13030. 2022-01-26 09:08:47,511:INFO:Creating metrics dataframe
  13031. 2022-01-26 09:08:47,514:INFO:Uploading results into container
  13032. 2022-01-26 09:08:47,514:INFO:Uploading model into container now
  13033. 2022-01-26 09:08:47,515:INFO:create_model_container: 13
  13034. 2022-01-26 09:08:47,515:INFO:master_model_container: 13
  13035. 2022-01-26 09:08:47,515:INFO:display_container: 2
  13036. 2022-01-26 09:08:47,515:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13037. importance_type='split', learning_rate=0.1, max_depth=-1,
  13038. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13039. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13040. random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13041. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  13042. 2022-01-26 09:08:47,516:INFO:create_model() succesfully completed......................................
  13043. 2022-01-26 09:08:47,582:INFO:SubProcess create_model() end ==================================
  13044. 2022-01-26 09:08:47,582:INFO:Creating metrics dataframe
  13045. 2022-01-26 09:08:47,596:INFO:Initializing Dummy Classifier
  13046. 2022-01-26 09:08:47,596:INFO:Total runtime is 1.3032345215479535 minutes
  13047. 2022-01-26 09:08:47,601:INFO:SubProcess create_model() called ==================================
  13048. 2022-01-26 09:08:47,602:INFO:Initializing create_model()
  13049. 2022-01-26 09:08:47,602:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeeb01d30>, kwargs={})
  13050. 2022-01-26 09:08:47,602:INFO:Checking exceptions
  13051. 2022-01-26 09:08:47,602:INFO:Importing libraries
  13052. 2022-01-26 09:08:47,602:INFO:Copying training dataset
  13053. 2022-01-26 09:08:47,604:INFO:Defining folds
  13054. 2022-01-26 09:08:47,604:INFO:Declaring metric variables
  13055. 2022-01-26 09:08:47,608:INFO:Importing untrained model
  13056. 2022-01-26 09:08:47,613:INFO:Dummy Classifier Imported succesfully
  13057. 2022-01-26 09:08:47,623:INFO:Starting cross validation
  13058. 2022-01-26 09:08:47,624:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13059. 2022-01-26 09:08:47,740:INFO:Calculating mean and std
  13060. 2022-01-26 09:08:47,741:INFO:Creating metrics dataframe
  13061. 2022-01-26 09:08:47,743:INFO:Uploading results into container
  13062. 2022-01-26 09:08:47,743:INFO:Uploading model into container now
  13063. 2022-01-26 09:08:47,744:INFO:create_model_container: 14
  13064. 2022-01-26 09:08:47,744:INFO:master_model_container: 14
  13065. 2022-01-26 09:08:47,744:INFO:display_container: 2
  13066. 2022-01-26 09:08:47,744:INFO:DummyClassifier(constant=None, random_state=4718, strategy='prior')
  13067. 2022-01-26 09:08:47,745:INFO:create_model() succesfully completed......................................
  13068. 2022-01-26 09:08:47,814:INFO:SubProcess create_model() end ==================================
  13069. 2022-01-26 09:08:47,815:INFO:Creating metrics dataframe
  13070. 2022-01-26 09:08:47,840:INFO:Initializing create_model()
  13071. 2022-01-26 09:08:47,840:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13072. criterion='gini', max_depth=None, max_features='auto',
  13073. max_leaf_nodes=None, max_samples=None,
  13074. min_impurity_decrease=0.0, min_impurity_split=None,
  13075. min_samples_leaf=1, min_samples_split=2,
  13076. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13077. oob_score=False, random_state=4718, verbose=0,
  13078. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13079. 2022-01-26 09:08:47,841:INFO:Checking exceptions
  13080. 2022-01-26 09:08:47,841:INFO:Importing libraries
  13081. 2022-01-26 09:08:47,841:INFO:Copying training dataset
  13082. 2022-01-26 09:08:47,842:INFO:Defining folds
  13083. 2022-01-26 09:08:47,842:INFO:Declaring metric variables
  13084. 2022-01-26 09:08:47,842:INFO:Importing untrained model
  13085. 2022-01-26 09:08:47,842:INFO:Declaring custom model
  13086. 2022-01-26 09:08:47,843:INFO:Extra Trees Classifier Imported succesfully
  13087. 2022-01-26 09:08:47,843:INFO:Cross validation set to False
  13088. 2022-01-26 09:08:47,844:INFO:Fitting Model
  13089. 2022-01-26 09:08:48,190:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13090. criterion='gini', max_depth=None, max_features='auto',
  13091. max_leaf_nodes=None, max_samples=None,
  13092. min_impurity_decrease=0.0, min_impurity_split=None,
  13093. min_samples_leaf=1, min_samples_split=2,
  13094. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13095. oob_score=False, random_state=4718, verbose=0,
  13096. warm_start=False)
  13097. 2022-01-26 09:08:48,190:INFO:create_models() succesfully completed......................................
  13098. 2022-01-26 09:08:48,270:INFO:Initializing create_model()
  13099. 2022-01-26 09:08:48,271:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13100. criterion='gini', max_depth=None, max_features='auto',
  13101. max_leaf_nodes=None, max_samples=None,
  13102. min_impurity_decrease=0.0, min_impurity_split=None,
  13103. min_samples_leaf=1, min_samples_split=2,
  13104. min_weight_fraction_leaf=0.0, n_estimators=100,
  13105. n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
  13106. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13107. 2022-01-26 09:08:48,271:INFO:Checking exceptions
  13108. 2022-01-26 09:08:48,271:INFO:Importing libraries
  13109. 2022-01-26 09:08:48,271:INFO:Copying training dataset
  13110. 2022-01-26 09:08:48,272:INFO:Defining folds
  13111. 2022-01-26 09:08:48,272:INFO:Declaring metric variables
  13112. 2022-01-26 09:08:48,272:INFO:Importing untrained model
  13113. 2022-01-26 09:08:48,273:INFO:Declaring custom model
  13114. 2022-01-26 09:08:48,273:INFO:Random Forest Classifier Imported succesfully
  13115. 2022-01-26 09:08:48,273:INFO:Cross validation set to False
  13116. 2022-01-26 09:08:48,273:INFO:Fitting Model
  13117. 2022-01-26 09:08:48,648:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13118. criterion='gini', max_depth=None, max_features='auto',
  13119. max_leaf_nodes=None, max_samples=None,
  13120. min_impurity_decrease=0.0, min_impurity_split=None,
  13121. min_samples_leaf=1, min_samples_split=2,
  13122. min_weight_fraction_leaf=0.0, n_estimators=100,
  13123. n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
  13124. warm_start=False)
  13125. 2022-01-26 09:08:48,648:INFO:create_models() succesfully completed......................................
  13126. 2022-01-26 09:08:48,722:INFO:Initializing create_model()
  13127. 2022-01-26 09:08:48,722:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13128. max_depth=None, max_features=None, max_leaf_nodes=None,
  13129. min_impurity_decrease=0.0, min_impurity_split=None,
  13130. min_samples_leaf=1, min_samples_split=2,
  13131. min_weight_fraction_leaf=0.0, presort='deprecated',
  13132. random_state=4718, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13133. 2022-01-26 09:08:48,723:INFO:Checking exceptions
  13134. 2022-01-26 09:08:48,723:INFO:Importing libraries
  13135. 2022-01-26 09:08:48,723:INFO:Copying training dataset
  13136. 2022-01-26 09:08:48,724:INFO:Defining folds
  13137. 2022-01-26 09:08:48,724:INFO:Declaring metric variables
  13138. 2022-01-26 09:08:48,724:INFO:Importing untrained model
  13139. 2022-01-26 09:08:48,724:INFO:Declaring custom model
  13140. 2022-01-26 09:08:48,725:INFO:Decision Tree Classifier Imported succesfully
  13141. 2022-01-26 09:08:48,725:INFO:Cross validation set to False
  13142. 2022-01-26 09:08:48,725:INFO:Fitting Model
  13143. 2022-01-26 09:08:48,856:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13144. max_depth=None, max_features=None, max_leaf_nodes=None,
  13145. min_impurity_decrease=0.0, min_impurity_split=None,
  13146. min_samples_leaf=1, min_samples_split=2,
  13147. min_weight_fraction_leaf=0.0, presort='deprecated',
  13148. random_state=4718, splitter='best')
  13149. 2022-01-26 09:08:48,857:INFO:create_models() succesfully completed......................................
  13150. 2022-01-26 09:08:48,929:INFO:Initializing create_model()
  13151. 2022-01-26 09:08:48,929:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13152. importance_type='split', learning_rate=0.1, max_depth=-1,
  13153. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13154. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13155. random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13156. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13157. 2022-01-26 09:08:48,930:INFO:Checking exceptions
  13158. 2022-01-26 09:08:48,930:INFO:Importing libraries
  13159. 2022-01-26 09:08:48,930:INFO:Copying training dataset
  13160. 2022-01-26 09:08:48,931:INFO:Defining folds
  13161. 2022-01-26 09:08:48,931:INFO:Declaring metric variables
  13162. 2022-01-26 09:08:48,931:INFO:Importing untrained model
  13163. 2022-01-26 09:08:48,931:INFO:Declaring custom model
  13164. 2022-01-26 09:08:48,932:INFO:Light Gradient Boosting Machine Imported succesfully
  13165. 2022-01-26 09:08:48,932:INFO:Cross validation set to False
  13166. 2022-01-26 09:08:48,932:INFO:Fitting Model
  13167. 2022-01-26 09:08:49,387:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13168. importance_type='split', learning_rate=0.1, max_depth=-1,
  13169. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13170. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13171. random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13172. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  13173. 2022-01-26 09:08:49,387:INFO:create_models() succesfully completed......................................
  13174. 2022-01-26 09:08:49,465:INFO:Initializing create_model()
  13175. 2022-01-26 09:08:49,466:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13176. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13177. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13178. 2022-01-26 09:08:49,466:INFO:Checking exceptions
  13179. 2022-01-26 09:08:49,466:INFO:Importing libraries
  13180. 2022-01-26 09:08:49,466:INFO:Copying training dataset
  13181. 2022-01-26 09:08:49,467:INFO:Defining folds
  13182. 2022-01-26 09:08:49,468:INFO:Declaring metric variables
  13183. 2022-01-26 09:08:49,468:INFO:Importing untrained model
  13184. 2022-01-26 09:08:49,468:INFO:Declaring custom model
  13185. 2022-01-26 09:08:49,468:INFO:K Neighbors Classifier Imported succesfully
  13186. 2022-01-26 09:08:49,469:INFO:Cross validation set to False
  13187. 2022-01-26 09:08:49,469:INFO:Fitting Model
  13188. 2022-01-26 09:08:50,371:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13189. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13190. weights='uniform')
  13191. 2022-01-26 09:08:50,371:INFO:create_models() succesfully completed......................................
  13192. 2022-01-26 09:08:50,442:INFO:Initializing create_model()
  13193. 2022-01-26 09:08:50,442:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13194. learning_rate=0.1, loss='deviance', max_depth=3,
  13195. max_features=None, max_leaf_nodes=None,
  13196. min_impurity_decrease=0.0, min_impurity_split=None,
  13197. min_samples_leaf=1, min_samples_split=2,
  13198. min_weight_fraction_leaf=0.0, n_estimators=100,
  13199. n_iter_no_change=None, presort='deprecated',
  13200. random_state=4718, subsample=1.0, tol=0.0001,
  13201. validation_fraction=0.1, verbose=0,
  13202. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13203. 2022-01-26 09:08:50,442:INFO:Checking exceptions
  13204. 2022-01-26 09:08:50,442:INFO:Importing libraries
  13205. 2022-01-26 09:08:50,443:INFO:Copying training dataset
  13206. 2022-01-26 09:08:50,444:INFO:Defining folds
  13207. 2022-01-26 09:08:50,444:INFO:Declaring metric variables
  13208. 2022-01-26 09:08:50,444:INFO:Importing untrained model
  13209. 2022-01-26 09:08:50,444:INFO:Declaring custom model
  13210. 2022-01-26 09:08:50,445:INFO:Gradient Boosting Classifier Imported succesfully
  13211. 2022-01-26 09:08:50,445:INFO:Cross validation set to False
  13212. 2022-01-26 09:08:50,445:INFO:Fitting Model
  13213. 2022-01-26 09:08:53,309:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13214. learning_rate=0.1, loss='deviance', max_depth=3,
  13215. max_features=None, max_leaf_nodes=None,
  13216. min_impurity_decrease=0.0, min_impurity_split=None,
  13217. min_samples_leaf=1, min_samples_split=2,
  13218. min_weight_fraction_leaf=0.0, n_estimators=100,
  13219. n_iter_no_change=None, presort='deprecated',
  13220. random_state=4718, subsample=1.0, tol=0.0001,
  13221. validation_fraction=0.1, verbose=0,
  13222. warm_start=False)
  13223. 2022-01-26 09:08:53,309:INFO:create_models() succesfully completed......................................
  13224. 2022-01-26 09:08:53,409:INFO:create_model_container: 14
  13225. 2022-01-26 09:08:53,409:INFO:master_model_container: 14
  13226. 2022-01-26 09:08:53,409:INFO:display_container: 2
  13227. 2022-01-26 09:08:53,411:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13228. criterion='gini', max_depth=None, max_features='auto',
  13229. max_leaf_nodes=None, max_samples=None,
  13230. min_impurity_decrease=0.0, min_impurity_split=None,
  13231. min_samples_leaf=1, min_samples_split=2,
  13232. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13233. oob_score=False, random_state=4718, verbose=0,
  13234. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13235. criterion='gini', max_depth=None, max_features='auto',
  13236. max_leaf_nodes=None, max_samples=None,
  13237. min_impurity_decrease=0.0, min_impurity_split=None,
  13238. min_samples_leaf=1, min_samples_split=2,
  13239. min_weight_fraction_leaf=0.0, n_estimators=100,
  13240. n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
  13241. warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13242. max_depth=None, max_features=None, max_leaf_nodes=None,
  13243. min_impurity_decrease=0.0, min_impurity_split=None,
  13244. min_samples_leaf=1, min_samples_split=2,
  13245. min_weight_fraction_leaf=0.0, presort='deprecated',
  13246. random_state=4718, splitter='best'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13247. importance_type='split', learning_rate=0.1, max_depth=-1,
  13248. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13249. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13250. random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13251. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13252. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13253. weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13254. learning_rate=0.1, loss='deviance', max_depth=3,
  13255. max_features=None, max_leaf_nodes=None,
  13256. min_impurity_decrease=0.0, min_impurity_split=None,
  13257. min_samples_leaf=1, min_samples_split=2,
  13258. min_weight_fraction_leaf=0.0, n_estimators=100,
  13259. n_iter_no_change=None, presort='deprecated',
  13260. random_state=4718, subsample=1.0, tol=0.0001,
  13261. validation_fraction=0.1, verbose=0,
  13262. warm_start=False)]
  13263. 2022-01-26 09:08:53,411:INFO:compare_models() succesfully completed......................................
  13264. 2022-01-26 10:33:44,922:INFO:PyCaret Supervised Module
  13265. 2022-01-26 10:33:44,922:INFO:ML Usecase: classification
  13266. 2022-01-26 10:33:44,923:INFO:version 2.3.6
  13267. 2022-01-26 10:33:44,923:INFO:Initializing setup()
  13268. 2022-01-26 10:33:44,923:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  13269. 2022-01-26 10:33:44,923:INFO:Checking environment
  13270. 2022-01-26 10:33:44,923:INFO:python_version: 3.8.8
  13271. 2022-01-26 10:33:44,924:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  13272. 2022-01-26 10:33:44,924:INFO:machine: x86_64
  13273. 2022-01-26 10:33:44,924:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  13274. 2022-01-26 10:33:44,924:INFO:Memory: svmem(total=33619935232, available=27370848256, percent=18.6, used=5393879040, free=24363859968, active=1616281600, inactive=6959742976, buffers=998359040, cached=2863837184, shared=383635456, slab=328208384)
  13275. 2022-01-26 10:33:44,925:INFO:Physical Core: 16
  13276. 2022-01-26 10:33:44,925:INFO:Logical Core: 32
  13277. 2022-01-26 10:33:44,925:INFO:Checking libraries
  13278. 2022-01-26 10:33:44,925:INFO:pd==1.2.4
  13279. 2022-01-26 10:33:44,925:INFO:numpy==1.19.5
  13280. 2022-01-26 10:33:44,926:INFO:sklearn==0.23.2
  13281. 2022-01-26 10:33:44,926:INFO:lightgbm==3.3.2
  13282. 2022-01-26 10:33:44,926:WARNING:catboost not found
  13283. 2022-01-26 10:33:44,927:WARNING:xgboost not found
  13284. 2022-01-26 10:33:44,927:INFO:mlflow==1.22.0
  13285. 2022-01-26 10:33:44,927:INFO:Checking Exceptions
  13286. 2022-01-26 10:33:44,927:INFO:Declaring global variables
  13287. 2022-01-26 10:33:44,927:INFO:USI: 8c35
  13288. 2022-01-26 10:33:44,928:INFO:pycaret_globals: {'create_model_container', 'fold_generator', 'n_jobs_param', 'y_test', '_ml_usecase', 'imputation_classifier', 'log_plots_param', 'transform_target_method_param', '_internal_pipeline', 'fix_imbalance_method_param', '_all_models_internal', 'stratify_param', 'seed', 'experiment__', 'master_model_container', 'X_test', '_all_metrics', 'html_param', 'logging_param', 'y', 'gpu_param', 'prep_pipe', 'fold_param', 'data_before_preprocess', 'target_param', '_all_models', 'transform_target_param', 'display_container', 'fold_groups_param', 'USI', 'pycaret_globals', 'fold_groups_param_full', '_available_plots', 'y_train', 'iterative_imputation_iters_param', 'imputation_regressor', 'fold_shuffle_param', 'X', 'fix_imbalance_param', 'X_train', '_gpu_n_jobs_param', 'exp_name_log'}
  13289. 2022-01-26 10:33:44,928:INFO:Preparing display monitor
  13290. 2022-01-26 10:33:44,928:INFO:Preparing display monitor
  13291. 2022-01-26 10:33:44,936:INFO:Importing libraries
  13292. 2022-01-26 10:33:44,936:INFO:Copying data for preprocessing
  13293. 2022-01-26 10:33:44,943:INFO:Declaring preprocessing parameters
  13294. 2022-01-26 10:33:44,944:WARNING:cuML not found
  13295. 2022-01-26 10:33:44,944:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  13296. 2022-01-26 10:33:44,948:INFO:Creating preprocessing pipeline
  13297. 2022-01-26 10:33:45,004:INFO:Preprocessing pipeline created successfully
  13298. 2022-01-26 10:33:45,005:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  13299. 2022-01-26 10:33:45,005:INFO:Creating global containers
  13300. 2022-01-26 10:33:45,005:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  13301. 2022-01-26 10:33:46,890:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  13302. 2022-01-26 10:33:46,918:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  13303. 2022-01-26 10:33:46,919:WARNING:Couldn't import cuml.MBSGDClassifier
  13304. 2022-01-26 10:33:46,920:WARNING:Couldn't import cuml.svm.SVC
  13305. 2022-01-26 10:33:46,935:WARNING:Couldn't import cuml.linear_model
  13306. 2022-01-26 10:33:46,938:WARNING:Couldn't import cuml.ensemble
  13307. 2022-01-26 10:33:46,940:WARNING:Couldn't import xgboost.XGBClassifier
  13308. 2022-01-26 10:33:46,944:WARNING:Couldn't import catboost.CatBoostClassifier
  13309. 2022-01-26 10:33:46,945:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  13310. 2022-01-26 10:33:46,977:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  13311. 2022-01-26 10:33:46,978:WARNING:Couldn't import cuml.MBSGDClassifier
  13312. 2022-01-26 10:33:46,979:WARNING:Couldn't import cuml.svm.SVC
  13313. 2022-01-26 10:33:46,995:WARNING:Couldn't import cuml.linear_model
  13314. 2022-01-26 10:33:46,999:WARNING:Couldn't import cuml.ensemble
  13315. 2022-01-26 10:33:47,000:WARNING:Couldn't import xgboost.XGBClassifier
  13316. 2022-01-26 10:33:47,004:WARNING:Couldn't import catboost.CatBoostClassifier
  13317. 2022-01-26 10:33:47,005:INFO:Creating grid variables
  13318. 2022-01-26 10:33:47,019:INFO:create_model_container: 0
  13319. 2022-01-26 10:33:47,019:INFO:master_model_container: 0
  13320. 2022-01-26 10:33:47,020:INFO:display_container: 1
  13321. 2022-01-26 10:33:47,023:INFO:Pipeline(memory=None,
  13322. steps=[('dtypes',
  13323. DataTypes_Auto_infer(categorical_features=[],
  13324. display_types=True, features_todrop=[],
  13325. id_columns=['Unnamed: 0'],
  13326. ml_usecase='classification',
  13327. numerical_features=[], target='label',
  13328. time_features=[])),
  13329. ('imputer',
  13330. Simple_Imputer(categorical_strategy='not_available',
  13331. fill_value_categorical=None,
  13332. fill_value_numerical=None,
  13333. num...
  13334. target='label')),
  13335. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  13336. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  13337. ('dummy', Dummify(target='label')),
  13338. ('fix_perfect', Remove_100(target='label')),
  13339. ('clean_names', Clean_Colum_Names()),
  13340. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  13341. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  13342. verbose=False)
  13343. 2022-01-26 10:33:47,023:INFO:setup() succesfully completed......................................
  13344. 2022-01-26 10:33:57,190:INFO:Initializing compare_models()
  13345. 2022-01-26 10:33:57,190:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  13346. 2022-01-26 10:33:57,191:INFO:Checking exceptions
  13347. 2022-01-26 10:33:57,192:INFO:Preparing display monitor
  13348. 2022-01-26 10:33:57,192:INFO:Preparing display monitor
  13349. 2022-01-26 10:33:57,211:INFO:Initializing Logistic Regression
  13350. 2022-01-26 10:33:57,211:INFO:Total runtime is 5.690256754557292e-06 minutes
  13351. 2022-01-26 10:33:57,217:INFO:SubProcess create_model() called ==================================
  13352. 2022-01-26 10:33:57,218:INFO:Initializing create_model()
  13353. 2022-01-26 10:33:57,218:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13354. 2022-01-26 10:33:57,218:INFO:Checking exceptions
  13355. 2022-01-26 10:33:57,218:INFO:Importing libraries
  13356. 2022-01-26 10:33:57,218:INFO:Copying training dataset
  13357. 2022-01-26 10:33:57,220:INFO:Defining folds
  13358. 2022-01-26 10:33:57,220:INFO:Declaring metric variables
  13359. 2022-01-26 10:33:57,226:INFO:Importing untrained model
  13360. 2022-01-26 10:33:57,231:INFO:Logistic Regression Imported succesfully
  13361. 2022-01-26 10:33:57,242:INFO:Starting cross validation
  13362. 2022-01-26 10:33:57,242:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13363. 2022-01-26 10:34:07,932:INFO:Calculating mean and std
  13364. 2022-01-26 10:34:07,935:INFO:Creating metrics dataframe
  13365. 2022-01-26 10:34:07,940:INFO:Uploading results into container
  13366. 2022-01-26 10:34:07,940:INFO:Uploading model into container now
  13367. 2022-01-26 10:34:07,941:INFO:create_model_container: 1
  13368. 2022-01-26 10:34:07,941:INFO:master_model_container: 1
  13369. 2022-01-26 10:34:07,941:INFO:display_container: 2
  13370. 2022-01-26 10:34:07,942:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  13371. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  13372. multi_class='auto', n_jobs=None, penalty='l2',
  13373. random_state=4851, solver='lbfgs', tol=0.0001, verbose=0,
  13374. warm_start=False)
  13375. 2022-01-26 10:34:07,942:INFO:create_model() succesfully completed......................................
  13376. 2022-01-26 10:34:08,039:INFO:SubProcess create_model() end ==================================
  13377. 2022-01-26 10:34:08,039:INFO:Creating metrics dataframe
  13378. 2022-01-26 10:34:08,049:INFO:Initializing K Neighbors Classifier
  13379. 2022-01-26 10:34:08,049:INFO:Total runtime is 0.18064369757970175 minutes
  13380. 2022-01-26 10:34:08,055:INFO:SubProcess create_model() called ==================================
  13381. 2022-01-26 10:34:08,056:INFO:Initializing create_model()
  13382. 2022-01-26 10:34:08,056:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13383. 2022-01-26 10:34:08,056:INFO:Checking exceptions
  13384. 2022-01-26 10:34:08,056:INFO:Importing libraries
  13385. 2022-01-26 10:34:08,056:INFO:Copying training dataset
  13386. 2022-01-26 10:34:08,058:INFO:Defining folds
  13387. 2022-01-26 10:34:08,058:INFO:Declaring metric variables
  13388. 2022-01-26 10:34:08,063:INFO:Importing untrained model
  13389. 2022-01-26 10:34:08,068:INFO:K Neighbors Classifier Imported succesfully
  13390. 2022-01-26 10:34:08,079:INFO:Starting cross validation
  13391. 2022-01-26 10:34:08,080:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13392. 2022-01-26 10:34:24,090:INFO:Calculating mean and std
  13393. 2022-01-26 10:34:24,091:INFO:Creating metrics dataframe
  13394. 2022-01-26 10:34:24,094:INFO:Uploading results into container
  13395. 2022-01-26 10:34:24,094:INFO:Uploading model into container now
  13396. 2022-01-26 10:34:24,094:INFO:create_model_container: 2
  13397. 2022-01-26 10:34:24,094:INFO:master_model_container: 2
  13398. 2022-01-26 10:34:24,094:INFO:display_container: 2
  13399. 2022-01-26 10:34:24,095:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13400. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13401. weights='uniform')
  13402. 2022-01-26 10:34:24,095:INFO:create_model() succesfully completed......................................
  13403. 2022-01-26 10:34:24,170:INFO:SubProcess create_model() end ==================================
  13404. 2022-01-26 10:34:24,170:INFO:Creating metrics dataframe
  13405. 2022-01-26 10:34:24,181:INFO:Initializing Naive Bayes
  13406. 2022-01-26 10:34:24,181:INFO:Total runtime is 0.4495099743207296 minutes
  13407. 2022-01-26 10:34:24,187:INFO:SubProcess create_model() called ==================================
  13408. 2022-01-26 10:34:24,187:INFO:Initializing create_model()
  13409. 2022-01-26 10:34:24,187:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13410. 2022-01-26 10:34:24,187:INFO:Checking exceptions
  13411. 2022-01-26 10:34:24,188:INFO:Importing libraries
  13412. 2022-01-26 10:34:24,188:INFO:Copying training dataset
  13413. 2022-01-26 10:34:24,191:INFO:Defining folds
  13414. 2022-01-26 10:34:24,191:INFO:Declaring metric variables
  13415. 2022-01-26 10:34:24,196:INFO:Importing untrained model
  13416. 2022-01-26 10:34:24,201:INFO:Naive Bayes Imported succesfully
  13417. 2022-01-26 10:34:24,213:INFO:Starting cross validation
  13418. 2022-01-26 10:34:24,214:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13419. 2022-01-26 10:34:24,464:INFO:Calculating mean and std
  13420. 2022-01-26 10:34:24,464:INFO:Creating metrics dataframe
  13421. 2022-01-26 10:34:24,467:INFO:Uploading results into container
  13422. 2022-01-26 10:34:24,467:INFO:Uploading model into container now
  13423. 2022-01-26 10:34:24,467:INFO:create_model_container: 3
  13424. 2022-01-26 10:34:24,468:INFO:master_model_container: 3
  13425. 2022-01-26 10:34:24,468:INFO:display_container: 2
  13426. 2022-01-26 10:34:24,468:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  13427. 2022-01-26 10:34:24,468:INFO:create_model() succesfully completed......................................
  13428. 2022-01-26 10:34:24,537:INFO:SubProcess create_model() end ==================================
  13429. 2022-01-26 10:34:24,538:INFO:Creating metrics dataframe
  13430. 2022-01-26 10:34:24,549:INFO:Initializing Decision Tree Classifier
  13431. 2022-01-26 10:34:24,549:INFO:Total runtime is 0.4556432445844015 minutes
  13432. 2022-01-26 10:34:24,555:INFO:SubProcess create_model() called ==================================
  13433. 2022-01-26 10:34:24,555:INFO:Initializing create_model()
  13434. 2022-01-26 10:34:24,556:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13435. 2022-01-26 10:34:24,556:INFO:Checking exceptions
  13436. 2022-01-26 10:34:24,556:INFO:Importing libraries
  13437. 2022-01-26 10:34:24,556:INFO:Copying training dataset
  13438. 2022-01-26 10:34:24,558:INFO:Defining folds
  13439. 2022-01-26 10:34:24,558:INFO:Declaring metric variables
  13440. 2022-01-26 10:34:24,563:INFO:Importing untrained model
  13441. 2022-01-26 10:34:24,568:INFO:Decision Tree Classifier Imported succesfully
  13442. 2022-01-26 10:34:24,579:INFO:Starting cross validation
  13443. 2022-01-26 10:34:24,580:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13444. 2022-01-26 10:34:26,163:INFO:Calculating mean and std
  13445. 2022-01-26 10:34:26,163:INFO:Creating metrics dataframe
  13446. 2022-01-26 10:34:26,166:INFO:Uploading results into container
  13447. 2022-01-26 10:34:26,166:INFO:Uploading model into container now
  13448. 2022-01-26 10:34:26,167:INFO:create_model_container: 4
  13449. 2022-01-26 10:34:26,167:INFO:master_model_container: 4
  13450. 2022-01-26 10:34:26,167:INFO:display_container: 2
  13451. 2022-01-26 10:34:26,167:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13452. max_depth=None, max_features=None, max_leaf_nodes=None,
  13453. min_impurity_decrease=0.0, min_impurity_split=None,
  13454. min_samples_leaf=1, min_samples_split=2,
  13455. min_weight_fraction_leaf=0.0, presort='deprecated',
  13456. random_state=4851, splitter='best')
  13457. 2022-01-26 10:34:26,167:INFO:create_model() succesfully completed......................................
  13458. 2022-01-26 10:34:26,239:INFO:SubProcess create_model() end ==================================
  13459. 2022-01-26 10:34:26,240:INFO:Creating metrics dataframe
  13460. 2022-01-26 10:34:26,251:INFO:Initializing SVM - Linear Kernel
  13461. 2022-01-26 10:34:26,251:INFO:Total runtime is 0.4840099096298218 minutes
  13462. 2022-01-26 10:34:26,257:INFO:SubProcess create_model() called ==================================
  13463. 2022-01-26 10:34:26,257:INFO:Initializing create_model()
  13464. 2022-01-26 10:34:26,257:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13465. 2022-01-26 10:34:26,258:INFO:Checking exceptions
  13466. 2022-01-26 10:34:26,258:INFO:Importing libraries
  13467. 2022-01-26 10:34:26,258:INFO:Copying training dataset
  13468. 2022-01-26 10:34:26,259:INFO:Defining folds
  13469. 2022-01-26 10:34:26,259:INFO:Declaring metric variables
  13470. 2022-01-26 10:34:26,264:INFO:Importing untrained model
  13471. 2022-01-26 10:34:26,270:INFO:SVM - Linear Kernel Imported succesfully
  13472. 2022-01-26 10:34:26,282:INFO:Starting cross validation
  13473. 2022-01-26 10:34:26,283:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13474. 2022-01-26 10:34:27,744:INFO:Calculating mean and std
  13475. 2022-01-26 10:34:27,747:INFO:Creating metrics dataframe
  13476. 2022-01-26 10:34:27,755:INFO:Uploading results into container
  13477. 2022-01-26 10:34:27,757:INFO:Uploading model into container now
  13478. 2022-01-26 10:34:27,758:INFO:create_model_container: 5
  13479. 2022-01-26 10:34:27,760:INFO:master_model_container: 5
  13480. 2022-01-26 10:34:27,760:INFO:display_container: 2
  13481. 2022-01-26 10:34:27,761:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  13482. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  13483. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  13484. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  13485. power_t=0.5, random_state=4851, shuffle=True, tol=0.001,
  13486. validation_fraction=0.1, verbose=0, warm_start=False)
  13487. 2022-01-26 10:34:27,762:INFO:create_model() succesfully completed......................................
  13488. 2022-01-26 10:34:27,843:INFO:SubProcess create_model() end ==================================
  13489. 2022-01-26 10:34:27,843:INFO:Creating metrics dataframe
  13490. 2022-01-26 10:34:27,855:INFO:Initializing Ridge Classifier
  13491. 2022-01-26 10:34:27,855:INFO:Total runtime is 0.5107457280158997 minutes
  13492. 2022-01-26 10:34:27,861:INFO:SubProcess create_model() called ==================================
  13493. 2022-01-26 10:34:27,862:INFO:Initializing create_model()
  13494. 2022-01-26 10:34:27,862:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13495. 2022-01-26 10:34:27,862:INFO:Checking exceptions
  13496. 2022-01-26 10:34:27,862:INFO:Importing libraries
  13497. 2022-01-26 10:34:27,862:INFO:Copying training dataset
  13498. 2022-01-26 10:34:27,864:INFO:Defining folds
  13499. 2022-01-26 10:34:27,864:INFO:Declaring metric variables
  13500. 2022-01-26 10:34:27,869:INFO:Importing untrained model
  13501. 2022-01-26 10:34:27,874:INFO:Ridge Classifier Imported succesfully
  13502. 2022-01-26 10:34:27,884:INFO:Starting cross validation
  13503. 2022-01-26 10:34:27,885:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13504. 2022-01-26 10:34:28,517:INFO:Calculating mean and std
  13505. 2022-01-26 10:34:28,519:INFO:Creating metrics dataframe
  13506. 2022-01-26 10:34:28,524:INFO:Uploading results into container
  13507. 2022-01-26 10:34:28,524:INFO:Uploading model into container now
  13508. 2022-01-26 10:34:28,525:INFO:create_model_container: 6
  13509. 2022-01-26 10:34:28,525:INFO:master_model_container: 6
  13510. 2022-01-26 10:34:28,525:INFO:display_container: 2
  13511. 2022-01-26 10:34:28,526:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  13512. max_iter=None, normalize=False, random_state=4851,
  13513. solver='auto', tol=0.001)
  13514. 2022-01-26 10:34:28,526:INFO:create_model() succesfully completed......................................
  13515. 2022-01-26 10:34:28,623:INFO:SubProcess create_model() end ==================================
  13516. 2022-01-26 10:34:28,623:INFO:Creating metrics dataframe
  13517. 2022-01-26 10:34:28,635:INFO:Initializing Random Forest Classifier
  13518. 2022-01-26 10:34:28,636:INFO:Total runtime is 0.5237489740053813 minutes
  13519. 2022-01-26 10:34:28,642:INFO:SubProcess create_model() called ==================================
  13520. 2022-01-26 10:34:28,642:INFO:Initializing create_model()
  13521. 2022-01-26 10:34:28,642:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13522. 2022-01-26 10:34:28,642:INFO:Checking exceptions
  13523. 2022-01-26 10:34:28,643:INFO:Importing libraries
  13524. 2022-01-26 10:34:28,643:INFO:Copying training dataset
  13525. 2022-01-26 10:34:28,644:INFO:Defining folds
  13526. 2022-01-26 10:34:28,644:INFO:Declaring metric variables
  13527. 2022-01-26 10:34:28,650:INFO:Importing untrained model
  13528. 2022-01-26 10:34:28,655:INFO:Random Forest Classifier Imported succesfully
  13529. 2022-01-26 10:34:28,667:INFO:Starting cross validation
  13530. 2022-01-26 10:34:28,667:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13531. 2022-01-26 10:34:35,647:INFO:Calculating mean and std
  13532. 2022-01-26 10:34:35,648:INFO:Creating metrics dataframe
  13533. 2022-01-26 10:34:35,651:INFO:Uploading results into container
  13534. 2022-01-26 10:34:35,651:INFO:Uploading model into container now
  13535. 2022-01-26 10:34:35,651:INFO:create_model_container: 7
  13536. 2022-01-26 10:34:35,651:INFO:master_model_container: 7
  13537. 2022-01-26 10:34:35,652:INFO:display_container: 2
  13538. 2022-01-26 10:34:35,652:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13539. criterion='gini', max_depth=None, max_features='auto',
  13540. max_leaf_nodes=None, max_samples=None,
  13541. min_impurity_decrease=0.0, min_impurity_split=None,
  13542. min_samples_leaf=1, min_samples_split=2,
  13543. min_weight_fraction_leaf=0.0, n_estimators=100,
  13544. n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
  13545. warm_start=False)
  13546. 2022-01-26 10:34:35,652:INFO:create_model() succesfully completed......................................
  13547. 2022-01-26 10:34:35,738:INFO:SubProcess create_model() end ==================================
  13548. 2022-01-26 10:34:35,738:INFO:Creating metrics dataframe
  13549. 2022-01-26 10:34:35,750:INFO:Initializing Quadratic Discriminant Analysis
  13550. 2022-01-26 10:34:35,751:INFO:Total runtime is 0.6423328280448914 minutes
  13551. 2022-01-26 10:34:35,756:INFO:SubProcess create_model() called ==================================
  13552. 2022-01-26 10:34:35,756:INFO:Initializing create_model()
  13553. 2022-01-26 10:34:35,756:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13554. 2022-01-26 10:34:35,757:INFO:Checking exceptions
  13555. 2022-01-26 10:34:35,757:INFO:Importing libraries
  13556. 2022-01-26 10:34:35,757:INFO:Copying training dataset
  13557. 2022-01-26 10:34:35,758:INFO:Defining folds
  13558. 2022-01-26 10:34:35,758:INFO:Declaring metric variables
  13559. 2022-01-26 10:34:35,763:INFO:Importing untrained model
  13560. 2022-01-26 10:34:35,768:INFO:Quadratic Discriminant Analysis Imported succesfully
  13561. 2022-01-26 10:34:35,779:INFO:Starting cross validation
  13562. 2022-01-26 10:34:35,780:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13563. 2022-01-26 10:34:36,551:INFO:Calculating mean and std
  13564. 2022-01-26 10:34:36,552:INFO:Creating metrics dataframe
  13565. 2022-01-26 10:34:36,558:INFO:Uploading results into container
  13566. 2022-01-26 10:34:36,558:INFO:Uploading model into container now
  13567. 2022-01-26 10:34:36,559:INFO:create_model_container: 8
  13568. 2022-01-26 10:34:36,559:INFO:master_model_container: 8
  13569. 2022-01-26 10:34:36,559:INFO:display_container: 2
  13570. 2022-01-26 10:34:36,559:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  13571. store_covariance=False, tol=0.0001)
  13572. 2022-01-26 10:34:36,560:INFO:create_model() succesfully completed......................................
  13573. 2022-01-26 10:34:36,642:INFO:SubProcess create_model() end ==================================
  13574. 2022-01-26 10:34:36,642:INFO:Creating metrics dataframe
  13575. 2022-01-26 10:34:36,654:INFO:Initializing Ada Boost Classifier
  13576. 2022-01-26 10:34:36,654:INFO:Total runtime is 0.6573969364166261 minutes
  13577. 2022-01-26 10:34:36,660:INFO:SubProcess create_model() called ==================================
  13578. 2022-01-26 10:34:36,660:INFO:Initializing create_model()
  13579. 2022-01-26 10:34:36,661:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13580. 2022-01-26 10:34:36,661:INFO:Checking exceptions
  13581. 2022-01-26 10:34:36,661:INFO:Importing libraries
  13582. 2022-01-26 10:34:36,661:INFO:Copying training dataset
  13583. 2022-01-26 10:34:36,662:INFO:Defining folds
  13584. 2022-01-26 10:34:36,663:INFO:Declaring metric variables
  13585. 2022-01-26 10:34:36,667:INFO:Importing untrained model
  13586. 2022-01-26 10:34:36,672:INFO:Ada Boost Classifier Imported succesfully
  13587. 2022-01-26 10:34:36,683:INFO:Starting cross validation
  13588. 2022-01-26 10:34:36,683:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13589. 2022-01-26 10:34:45,037:INFO:Calculating mean and std
  13590. 2022-01-26 10:34:45,038:INFO:Creating metrics dataframe
  13591. 2022-01-26 10:34:45,041:INFO:Uploading results into container
  13592. 2022-01-26 10:34:45,041:INFO:Uploading model into container now
  13593. 2022-01-26 10:34:45,041:INFO:create_model_container: 9
  13594. 2022-01-26 10:34:45,042:INFO:master_model_container: 9
  13595. 2022-01-26 10:34:45,042:INFO:display_container: 2
  13596. 2022-01-26 10:34:45,042:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  13597. n_estimators=50, random_state=4851)
  13598. 2022-01-26 10:34:45,042:INFO:create_model() succesfully completed......................................
  13599. 2022-01-26 10:34:45,113:INFO:SubProcess create_model() end ==================================
  13600. 2022-01-26 10:34:45,114:INFO:Creating metrics dataframe
  13601. 2022-01-26 10:34:45,126:INFO:Initializing Gradient Boosting Classifier
  13602. 2022-01-26 10:34:45,127:INFO:Total runtime is 0.7985983053843182 minutes
  13603. 2022-01-26 10:34:45,132:INFO:SubProcess create_model() called ==================================
  13604. 2022-01-26 10:34:45,132:INFO:Initializing create_model()
  13605. 2022-01-26 10:34:45,133:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13606. 2022-01-26 10:34:45,133:INFO:Checking exceptions
  13607. 2022-01-26 10:34:45,133:INFO:Importing libraries
  13608. 2022-01-26 10:34:45,133:INFO:Copying training dataset
  13609. 2022-01-26 10:34:45,134:INFO:Defining folds
  13610. 2022-01-26 10:34:45,135:INFO:Declaring metric variables
  13611. 2022-01-26 10:34:45,140:INFO:Importing untrained model
  13612. 2022-01-26 10:34:45,145:INFO:Gradient Boosting Classifier Imported succesfully
  13613. 2022-01-26 10:34:45,155:INFO:Starting cross validation
  13614. 2022-01-26 10:34:45,156:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13615. 2022-01-26 10:35:16,199:INFO:Calculating mean and std
  13616. 2022-01-26 10:35:16,200:INFO:Creating metrics dataframe
  13617. 2022-01-26 10:35:16,203:INFO:Uploading results into container
  13618. 2022-01-26 10:35:16,203:INFO:Uploading model into container now
  13619. 2022-01-26 10:35:16,203:INFO:create_model_container: 10
  13620. 2022-01-26 10:35:16,203:INFO:master_model_container: 10
  13621. 2022-01-26 10:35:16,203:INFO:display_container: 2
  13622. 2022-01-26 10:35:16,204:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13623. learning_rate=0.1, loss='deviance', max_depth=3,
  13624. max_features=None, max_leaf_nodes=None,
  13625. min_impurity_decrease=0.0, min_impurity_split=None,
  13626. min_samples_leaf=1, min_samples_split=2,
  13627. min_weight_fraction_leaf=0.0, n_estimators=100,
  13628. n_iter_no_change=None, presort='deprecated',
  13629. random_state=4851, subsample=1.0, tol=0.0001,
  13630. validation_fraction=0.1, verbose=0,
  13631. warm_start=False)
  13632. 2022-01-26 10:35:16,204:INFO:create_model() succesfully completed......................................
  13633. 2022-01-26 10:35:16,271:INFO:SubProcess create_model() end ==================================
  13634. 2022-01-26 10:35:16,272:INFO:Creating metrics dataframe
  13635. 2022-01-26 10:35:16,284:INFO:Initializing Linear Discriminant Analysis
  13636. 2022-01-26 10:35:16,284:INFO:Total runtime is 1.3178923209508262 minutes
  13637. 2022-01-26 10:35:16,290:INFO:SubProcess create_model() called ==================================
  13638. 2022-01-26 10:35:16,290:INFO:Initializing create_model()
  13639. 2022-01-26 10:35:16,290:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13640. 2022-01-26 10:35:16,291:INFO:Checking exceptions
  13641. 2022-01-26 10:35:16,291:INFO:Importing libraries
  13642. 2022-01-26 10:35:16,291:INFO:Copying training dataset
  13643. 2022-01-26 10:35:16,292:INFO:Defining folds
  13644. 2022-01-26 10:35:16,292:INFO:Declaring metric variables
  13645. 2022-01-26 10:35:16,297:INFO:Importing untrained model
  13646. 2022-01-26 10:35:16,302:INFO:Linear Discriminant Analysis Imported succesfully
  13647. 2022-01-26 10:35:16,313:INFO:Starting cross validation
  13648. 2022-01-26 10:35:16,313:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13649. 2022-01-26 10:35:18,196:INFO:Calculating mean and std
  13650. 2022-01-26 10:35:18,199:INFO:Creating metrics dataframe
  13651. 2022-01-26 10:35:18,204:INFO:Uploading results into container
  13652. 2022-01-26 10:35:18,205:INFO:Uploading model into container now
  13653. 2022-01-26 10:35:18,205:INFO:create_model_container: 11
  13654. 2022-01-26 10:35:18,205:INFO:master_model_container: 11
  13655. 2022-01-26 10:35:18,206:INFO:display_container: 2
  13656. 2022-01-26 10:35:18,206:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  13657. solver='svd', store_covariance=False, tol=0.0001)
  13658. 2022-01-26 10:35:18,206:INFO:create_model() succesfully completed......................................
  13659. 2022-01-26 10:35:18,289:INFO:SubProcess create_model() end ==================================
  13660. 2022-01-26 10:35:18,289:INFO:Creating metrics dataframe
  13661. 2022-01-26 10:35:18,302:INFO:Initializing Extra Trees Classifier
  13662. 2022-01-26 10:35:18,302:INFO:Total runtime is 1.3515202363332115 minutes
  13663. 2022-01-26 10:35:18,307:INFO:SubProcess create_model() called ==================================
  13664. 2022-01-26 10:35:18,308:INFO:Initializing create_model()
  13665. 2022-01-26 10:35:18,308:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13666. 2022-01-26 10:35:18,308:INFO:Checking exceptions
  13667. 2022-01-26 10:35:18,308:INFO:Importing libraries
  13668. 2022-01-26 10:35:18,308:INFO:Copying training dataset
  13669. 2022-01-26 10:35:18,310:INFO:Defining folds
  13670. 2022-01-26 10:35:18,310:INFO:Declaring metric variables
  13671. 2022-01-26 10:35:18,315:INFO:Importing untrained model
  13672. 2022-01-26 10:35:18,319:INFO:Extra Trees Classifier Imported succesfully
  13673. 2022-01-26 10:35:18,330:INFO:Starting cross validation
  13674. 2022-01-26 10:35:18,331:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13675. 2022-01-26 10:35:25,476:INFO:Calculating mean and std
  13676. 2022-01-26 10:35:25,477:INFO:Creating metrics dataframe
  13677. 2022-01-26 10:35:25,480:INFO:Uploading results into container
  13678. 2022-01-26 10:35:25,480:INFO:Uploading model into container now
  13679. 2022-01-26 10:35:25,480:INFO:create_model_container: 12
  13680. 2022-01-26 10:35:25,480:INFO:master_model_container: 12
  13681. 2022-01-26 10:35:25,480:INFO:display_container: 2
  13682. 2022-01-26 10:35:25,481:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13683. criterion='gini', max_depth=None, max_features='auto',
  13684. max_leaf_nodes=None, max_samples=None,
  13685. min_impurity_decrease=0.0, min_impurity_split=None,
  13686. min_samples_leaf=1, min_samples_split=2,
  13687. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13688. oob_score=False, random_state=4851, verbose=0,
  13689. warm_start=False)
  13690. 2022-01-26 10:35:25,481:INFO:create_model() succesfully completed......................................
  13691. 2022-01-26 10:35:25,551:INFO:SubProcess create_model() end ==================================
  13692. 2022-01-26 10:35:25,552:INFO:Creating metrics dataframe
  13693. 2022-01-26 10:35:25,565:INFO:Initializing Light Gradient Boosting Machine
  13694. 2022-01-26 10:35:25,565:INFO:Total runtime is 1.4725696206092838 minutes
  13695. 2022-01-26 10:35:25,570:INFO:SubProcess create_model() called ==================================
  13696. 2022-01-26 10:35:25,571:INFO:Initializing create_model()
  13697. 2022-01-26 10:35:25,571:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13698. 2022-01-26 10:35:25,571:INFO:Checking exceptions
  13699. 2022-01-26 10:35:25,571:INFO:Importing libraries
  13700. 2022-01-26 10:35:25,571:INFO:Copying training dataset
  13701. 2022-01-26 10:35:25,573:INFO:Defining folds
  13702. 2022-01-26 10:35:25,573:INFO:Declaring metric variables
  13703. 2022-01-26 10:35:25,578:INFO:Importing untrained model
  13704. 2022-01-26 10:35:25,583:INFO:Light Gradient Boosting Machine Imported succesfully
  13705. 2022-01-26 10:35:25,594:INFO:Starting cross validation
  13706. 2022-01-26 10:35:25,594:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13707. 2022-01-26 10:35:28,844:INFO:Calculating mean and std
  13708. 2022-01-26 10:35:28,845:INFO:Creating metrics dataframe
  13709. 2022-01-26 10:35:28,848:INFO:Uploading results into container
  13710. 2022-01-26 10:35:28,848:INFO:Uploading model into container now
  13711. 2022-01-26 10:35:28,848:INFO:create_model_container: 13
  13712. 2022-01-26 10:35:28,849:INFO:master_model_container: 13
  13713. 2022-01-26 10:35:28,849:INFO:display_container: 2
  13714. 2022-01-26 10:35:28,849:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13715. importance_type='split', learning_rate=0.1, max_depth=-1,
  13716. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13717. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13718. random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13719. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  13720. 2022-01-26 10:35:28,850:INFO:create_model() succesfully completed......................................
  13721. 2022-01-26 10:35:28,917:INFO:SubProcess create_model() end ==================================
  13722. 2022-01-26 10:35:28,917:INFO:Creating metrics dataframe
  13723. 2022-01-26 10:35:28,931:INFO:Initializing Dummy Classifier
  13724. 2022-01-26 10:35:28,931:INFO:Total runtime is 1.5286695639292402 minutes
  13725. 2022-01-26 10:35:28,936:INFO:SubProcess create_model() called ==================================
  13726. 2022-01-26 10:35:28,936:INFO:Initializing create_model()
  13727. 2022-01-26 10:35:28,937:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdebf8a1f0>, kwargs={})
  13728. 2022-01-26 10:35:28,937:INFO:Checking exceptions
  13729. 2022-01-26 10:35:28,937:INFO:Importing libraries
  13730. 2022-01-26 10:35:28,937:INFO:Copying training dataset
  13731. 2022-01-26 10:35:28,939:INFO:Defining folds
  13732. 2022-01-26 10:35:28,939:INFO:Declaring metric variables
  13733. 2022-01-26 10:35:28,944:INFO:Importing untrained model
  13734. 2022-01-26 10:35:28,948:INFO:Dummy Classifier Imported succesfully
  13735. 2022-01-26 10:35:28,959:INFO:Starting cross validation
  13736. 2022-01-26 10:35:28,959:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  13737. 2022-01-26 10:35:29,074:INFO:Calculating mean and std
  13738. 2022-01-26 10:35:29,075:INFO:Creating metrics dataframe
  13739. 2022-01-26 10:35:29,077:INFO:Uploading results into container
  13740. 2022-01-26 10:35:29,077:INFO:Uploading model into container now
  13741. 2022-01-26 10:35:29,078:INFO:create_model_container: 14
  13742. 2022-01-26 10:35:29,078:INFO:master_model_container: 14
  13743. 2022-01-26 10:35:29,078:INFO:display_container: 2
  13744. 2022-01-26 10:35:29,078:INFO:DummyClassifier(constant=None, random_state=4851, strategy='prior')
  13745. 2022-01-26 10:35:29,079:INFO:create_model() succesfully completed......................................
  13746. 2022-01-26 10:35:29,151:INFO:SubProcess create_model() end ==================================
  13747. 2022-01-26 10:35:29,151:INFO:Creating metrics dataframe
  13748. 2022-01-26 10:35:29,178:INFO:Initializing create_model()
  13749. 2022-01-26 10:35:29,178:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13750. criterion='gini', max_depth=None, max_features='auto',
  13751. max_leaf_nodes=None, max_samples=None,
  13752. min_impurity_decrease=0.0, min_impurity_split=None,
  13753. min_samples_leaf=1, min_samples_split=2,
  13754. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13755. oob_score=False, random_state=4851, verbose=0,
  13756. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13757. 2022-01-26 10:35:29,178:INFO:Checking exceptions
  13758. 2022-01-26 10:35:29,178:INFO:Importing libraries
  13759. 2022-01-26 10:35:29,179:INFO:Copying training dataset
  13760. 2022-01-26 10:35:29,180:INFO:Defining folds
  13761. 2022-01-26 10:35:29,180:INFO:Declaring metric variables
  13762. 2022-01-26 10:35:29,180:INFO:Importing untrained model
  13763. 2022-01-26 10:35:29,180:INFO:Declaring custom model
  13764. 2022-01-26 10:35:29,181:INFO:Extra Trees Classifier Imported succesfully
  13765. 2022-01-26 10:35:29,181:INFO:Cross validation set to False
  13766. 2022-01-26 10:35:29,181:INFO:Fitting Model
  13767. 2022-01-26 10:35:29,517:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13768. criterion='gini', max_depth=None, max_features='auto',
  13769. max_leaf_nodes=None, max_samples=None,
  13770. min_impurity_decrease=0.0, min_impurity_split=None,
  13771. min_samples_leaf=1, min_samples_split=2,
  13772. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13773. oob_score=False, random_state=4851, verbose=0,
  13774. warm_start=False)
  13775. 2022-01-26 10:35:29,517:INFO:create_models() succesfully completed......................................
  13776. 2022-01-26 10:35:29,595:INFO:Initializing create_model()
  13777. 2022-01-26 10:35:29,595:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13778. criterion='gini', max_depth=None, max_features='auto',
  13779. max_leaf_nodes=None, max_samples=None,
  13780. min_impurity_decrease=0.0, min_impurity_split=None,
  13781. min_samples_leaf=1, min_samples_split=2,
  13782. min_weight_fraction_leaf=0.0, n_estimators=100,
  13783. n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
  13784. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13785. 2022-01-26 10:35:29,595:INFO:Checking exceptions
  13786. 2022-01-26 10:35:29,595:INFO:Importing libraries
  13787. 2022-01-26 10:35:29,595:INFO:Copying training dataset
  13788. 2022-01-26 10:35:29,596:INFO:Defining folds
  13789. 2022-01-26 10:35:29,596:INFO:Declaring metric variables
  13790. 2022-01-26 10:35:29,597:INFO:Importing untrained model
  13791. 2022-01-26 10:35:29,597:INFO:Declaring custom model
  13792. 2022-01-26 10:35:29,597:INFO:Random Forest Classifier Imported succesfully
  13793. 2022-01-26 10:35:29,598:INFO:Cross validation set to False
  13794. 2022-01-26 10:35:29,598:INFO:Fitting Model
  13795. 2022-01-26 10:35:29,982:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13796. criterion='gini', max_depth=None, max_features='auto',
  13797. max_leaf_nodes=None, max_samples=None,
  13798. min_impurity_decrease=0.0, min_impurity_split=None,
  13799. min_samples_leaf=1, min_samples_split=2,
  13800. min_weight_fraction_leaf=0.0, n_estimators=100,
  13801. n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
  13802. warm_start=False)
  13803. 2022-01-26 10:35:29,983:INFO:create_models() succesfully completed......................................
  13804. 2022-01-26 10:35:30,057:INFO:Initializing create_model()
  13805. 2022-01-26 10:35:30,057:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13806. importance_type='split', learning_rate=0.1, max_depth=-1,
  13807. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13808. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13809. random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13810. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13811. 2022-01-26 10:35:30,057:INFO:Checking exceptions
  13812. 2022-01-26 10:35:30,057:INFO:Importing libraries
  13813. 2022-01-26 10:35:30,058:INFO:Copying training dataset
  13814. 2022-01-26 10:35:30,059:INFO:Defining folds
  13815. 2022-01-26 10:35:30,059:INFO:Declaring metric variables
  13816. 2022-01-26 10:35:30,059:INFO:Importing untrained model
  13817. 2022-01-26 10:35:30,059:INFO:Declaring custom model
  13818. 2022-01-26 10:35:30,060:INFO:Light Gradient Boosting Machine Imported succesfully
  13819. 2022-01-26 10:35:30,060:INFO:Cross validation set to False
  13820. 2022-01-26 10:35:30,060:INFO:Fitting Model
  13821. 2022-01-26 10:35:30,399:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13822. importance_type='split', learning_rate=0.1, max_depth=-1,
  13823. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13824. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13825. random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13826. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  13827. 2022-01-26 10:35:30,400:INFO:create_models() succesfully completed......................................
  13828. 2022-01-26 10:35:30,471:INFO:Initializing create_model()
  13829. 2022-01-26 10:35:30,472:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13830. max_depth=None, max_features=None, max_leaf_nodes=None,
  13831. min_impurity_decrease=0.0, min_impurity_split=None,
  13832. min_samples_leaf=1, min_samples_split=2,
  13833. min_weight_fraction_leaf=0.0, presort='deprecated',
  13834. random_state=4851, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13835. 2022-01-26 10:35:30,472:INFO:Checking exceptions
  13836. 2022-01-26 10:35:30,472:INFO:Importing libraries
  13837. 2022-01-26 10:35:30,472:INFO:Copying training dataset
  13838. 2022-01-26 10:35:30,473:INFO:Defining folds
  13839. 2022-01-26 10:35:30,473:INFO:Declaring metric variables
  13840. 2022-01-26 10:35:30,473:INFO:Importing untrained model
  13841. 2022-01-26 10:35:30,474:INFO:Declaring custom model
  13842. 2022-01-26 10:35:30,474:INFO:Decision Tree Classifier Imported succesfully
  13843. 2022-01-26 10:35:30,474:INFO:Cross validation set to False
  13844. 2022-01-26 10:35:30,474:INFO:Fitting Model
  13845. 2022-01-26 10:35:30,635:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13846. max_depth=None, max_features=None, max_leaf_nodes=None,
  13847. min_impurity_decrease=0.0, min_impurity_split=None,
  13848. min_samples_leaf=1, min_samples_split=2,
  13849. min_weight_fraction_leaf=0.0, presort='deprecated',
  13850. random_state=4851, splitter='best')
  13851. 2022-01-26 10:35:30,635:INFO:create_models() succesfully completed......................................
  13852. 2022-01-26 10:35:30,708:INFO:Initializing create_model()
  13853. 2022-01-26 10:35:30,708:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13854. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13855. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13856. 2022-01-26 10:35:30,708:INFO:Checking exceptions
  13857. 2022-01-26 10:35:30,708:INFO:Importing libraries
  13858. 2022-01-26 10:35:30,709:INFO:Copying training dataset
  13859. 2022-01-26 10:35:30,710:INFO:Defining folds
  13860. 2022-01-26 10:35:30,710:INFO:Declaring metric variables
  13861. 2022-01-26 10:35:30,710:INFO:Importing untrained model
  13862. 2022-01-26 10:35:30,710:INFO:Declaring custom model
  13863. 2022-01-26 10:35:30,710:INFO:K Neighbors Classifier Imported succesfully
  13864. 2022-01-26 10:35:30,711:INFO:Cross validation set to False
  13865. 2022-01-26 10:35:30,711:INFO:Fitting Model
  13866. 2022-01-26 10:35:31,482:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13867. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13868. weights='uniform')
  13869. 2022-01-26 10:35:31,482:INFO:create_models() succesfully completed......................................
  13870. 2022-01-26 10:35:31,557:INFO:Initializing create_model()
  13871. 2022-01-26 10:35:31,558:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13872. learning_rate=0.1, loss='deviance', max_depth=3,
  13873. max_features=None, max_leaf_nodes=None,
  13874. min_impurity_decrease=0.0, min_impurity_split=None,
  13875. min_samples_leaf=1, min_samples_split=2,
  13876. min_weight_fraction_leaf=0.0, n_estimators=100,
  13877. n_iter_no_change=None, presort='deprecated',
  13878. random_state=4851, subsample=1.0, tol=0.0001,
  13879. validation_fraction=0.1, verbose=0,
  13880. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  13881. 2022-01-26 10:35:31,558:INFO:Checking exceptions
  13882. 2022-01-26 10:35:31,558:INFO:Importing libraries
  13883. 2022-01-26 10:35:31,558:INFO:Copying training dataset
  13884. 2022-01-26 10:35:31,559:INFO:Defining folds
  13885. 2022-01-26 10:35:31,560:INFO:Declaring metric variables
  13886. 2022-01-26 10:35:31,560:INFO:Importing untrained model
  13887. 2022-01-26 10:35:31,560:INFO:Declaring custom model
  13888. 2022-01-26 10:35:31,560:INFO:Gradient Boosting Classifier Imported succesfully
  13889. 2022-01-26 10:35:31,561:INFO:Cross validation set to False
  13890. 2022-01-26 10:35:31,561:INFO:Fitting Model
  13891. 2022-01-26 10:35:35,011:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13892. learning_rate=0.1, loss='deviance', max_depth=3,
  13893. max_features=None, max_leaf_nodes=None,
  13894. min_impurity_decrease=0.0, min_impurity_split=None,
  13895. min_samples_leaf=1, min_samples_split=2,
  13896. min_weight_fraction_leaf=0.0, n_estimators=100,
  13897. n_iter_no_change=None, presort='deprecated',
  13898. random_state=4851, subsample=1.0, tol=0.0001,
  13899. validation_fraction=0.1, verbose=0,
  13900. warm_start=False)
  13901. 2022-01-26 10:35:35,012:INFO:create_models() succesfully completed......................................
  13902. 2022-01-26 10:35:35,104:INFO:create_model_container: 14
  13903. 2022-01-26 10:35:35,104:INFO:master_model_container: 14
  13904. 2022-01-26 10:35:35,105:INFO:display_container: 2
  13905. 2022-01-26 10:35:35,106:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  13906. criterion='gini', max_depth=None, max_features='auto',
  13907. max_leaf_nodes=None, max_samples=None,
  13908. min_impurity_decrease=0.0, min_impurity_split=None,
  13909. min_samples_leaf=1, min_samples_split=2,
  13910. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  13911. oob_score=False, random_state=4851, verbose=0,
  13912. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  13913. criterion='gini', max_depth=None, max_features='auto',
  13914. max_leaf_nodes=None, max_samples=None,
  13915. min_impurity_decrease=0.0, min_impurity_split=None,
  13916. min_samples_leaf=1, min_samples_split=2,
  13917. min_weight_fraction_leaf=0.0, n_estimators=100,
  13918. n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
  13919. warm_start=False), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  13920. importance_type='split', learning_rate=0.1, max_depth=-1,
  13921. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  13922. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  13923. random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  13924. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  13925. max_depth=None, max_features=None, max_leaf_nodes=None,
  13926. min_impurity_decrease=0.0, min_impurity_split=None,
  13927. min_samples_leaf=1, min_samples_split=2,
  13928. min_weight_fraction_leaf=0.0, presort='deprecated',
  13929. random_state=4851, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  13930. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  13931. weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  13932. learning_rate=0.1, loss='deviance', max_depth=3,
  13933. max_features=None, max_leaf_nodes=None,
  13934. min_impurity_decrease=0.0, min_impurity_split=None,
  13935. min_samples_leaf=1, min_samples_split=2,
  13936. min_weight_fraction_leaf=0.0, n_estimators=100,
  13937. n_iter_no_change=None, presort='deprecated',
  13938. random_state=4851, subsample=1.0, tol=0.0001,
  13939. validation_fraction=0.1, verbose=0,
  13940. warm_start=False)]
  13941. 2022-01-26 10:35:35,106:INFO:compare_models() succesfully completed......................................
  13942. 2022-01-26 11:16:49,076:INFO:PyCaret Supervised Module
  13943. 2022-01-26 11:16:49,076:INFO:ML Usecase: classification
  13944. 2022-01-26 11:16:49,076:INFO:version 2.3.6
  13945. 2022-01-26 11:16:49,077:INFO:Initializing setup()
  13946. 2022-01-26 11:16:49,077:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  13947. 2022-01-26 11:16:49,077:INFO:Checking environment
  13948. 2022-01-26 11:16:49,077:INFO:python_version: 3.8.8
  13949. 2022-01-26 11:16:49,077:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  13950. 2022-01-26 11:16:49,077:INFO:machine: x86_64
  13951. 2022-01-26 11:16:49,078:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  13952. 2022-01-26 11:16:49,078:INFO:Memory: svmem(total=33619935232, available=27010174976, percent=19.7, used=5754216448, free=24000958464, active=1617952768, inactive=7318257664, buffers=999944192, cached=2864816128, shared=383635456, slab=329428992)
  13953. 2022-01-26 11:16:49,078:INFO:Physical Core: 16
  13954. 2022-01-26 11:16:49,079:INFO:Logical Core: 32
  13955. 2022-01-26 11:16:49,079:INFO:Checking libraries
  13956. 2022-01-26 11:16:49,079:INFO:pd==1.2.4
  13957. 2022-01-26 11:16:49,079:INFO:numpy==1.19.5
  13958. 2022-01-26 11:16:49,079:INFO:sklearn==0.23.2
  13959. 2022-01-26 11:16:49,079:INFO:lightgbm==3.3.2
  13960. 2022-01-26 11:16:49,080:WARNING:catboost not found
  13961. 2022-01-26 11:16:49,080:WARNING:xgboost not found
  13962. 2022-01-26 11:16:49,081:INFO:mlflow==1.22.0
  13963. 2022-01-26 11:16:49,081:INFO:Checking Exceptions
  13964. 2022-01-26 11:16:49,081:INFO:Declaring global variables
  13965. 2022-01-26 11:16:49,081:INFO:USI: 0901
  13966. 2022-01-26 11:16:49,081:INFO:pycaret_globals: {'create_model_container', 'fold_generator', 'n_jobs_param', 'y_test', '_ml_usecase', 'imputation_classifier', 'log_plots_param', 'transform_target_method_param', '_internal_pipeline', 'fix_imbalance_method_param', '_all_models_internal', 'stratify_param', 'seed', 'experiment__', 'master_model_container', 'X_test', '_all_metrics', 'html_param', 'logging_param', 'y', 'gpu_param', 'prep_pipe', 'fold_param', 'data_before_preprocess', 'target_param', '_all_models', 'transform_target_param', 'display_container', 'fold_groups_param', 'USI', 'pycaret_globals', 'fold_groups_param_full', '_available_plots', 'y_train', 'iterative_imputation_iters_param', 'imputation_regressor', 'fold_shuffle_param', 'X', 'fix_imbalance_param', 'X_train', '_gpu_n_jobs_param', 'exp_name_log'}
  13967. 2022-01-26 11:16:49,081:INFO:Preparing display monitor
  13968. 2022-01-26 11:16:49,081:INFO:Preparing display monitor
  13969. 2022-01-26 11:16:49,090:INFO:Importing libraries
  13970. 2022-01-26 11:16:49,090:INFO:Copying data for preprocessing
  13971. 2022-01-26 11:16:49,096:INFO:Declaring preprocessing parameters
  13972. 2022-01-26 11:16:49,097:WARNING:cuML not found
  13973. 2022-01-26 11:16:49,097:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
  13974. 2022-01-26 11:16:49,099:INFO:Creating preprocessing pipeline
  13975. 2022-01-26 11:16:49,146:INFO:Preprocessing pipeline created successfully
  13976. 2022-01-26 11:16:49,146:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  13977. 2022-01-26 11:16:49,147:INFO:Creating global containers
  13978. 2022-01-26 11:16:49,147:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  13979. 2022-01-26 11:16:51,131:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  13980. 2022-01-26 11:16:51,161:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  13981. 2022-01-26 11:16:51,162:WARNING:Couldn't import cuml.MBSGDClassifier
  13982. 2022-01-26 11:16:51,162:WARNING:Couldn't import cuml.svm.SVC
  13983. 2022-01-26 11:16:51,178:WARNING:Couldn't import cuml.linear_model
  13984. 2022-01-26 11:16:51,181:WARNING:Couldn't import cuml.ensemble
  13985. 2022-01-26 11:16:51,182:WARNING:Couldn't import xgboost.XGBClassifier
  13986. 2022-01-26 11:16:51,193:WARNING:Couldn't import catboost.CatBoostClassifier
  13987. 2022-01-26 11:16:51,194:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  13988. 2022-01-26 11:16:51,225:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  13989. 2022-01-26 11:16:51,226:WARNING:Couldn't import cuml.MBSGDClassifier
  13990. 2022-01-26 11:16:51,227:WARNING:Couldn't import cuml.svm.SVC
  13991. 2022-01-26 11:16:51,242:WARNING:Couldn't import cuml.linear_model
  13992. 2022-01-26 11:16:51,246:WARNING:Couldn't import cuml.ensemble
  13993. 2022-01-26 11:16:51,247:WARNING:Couldn't import xgboost.XGBClassifier
  13994. 2022-01-26 11:16:51,251:WARNING:Couldn't import catboost.CatBoostClassifier
  13995. 2022-01-26 11:16:51,252:INFO:Creating grid variables
  13996. 2022-01-26 11:16:51,263:INFO:create_model_container: 0
  13997. 2022-01-26 11:16:51,264:INFO:master_model_container: 0
  13998. 2022-01-26 11:16:51,264:INFO:display_container: 1
  13999. 2022-01-26 11:16:51,267:INFO:Pipeline(memory=None,
  14000. steps=[('dtypes',
  14001. DataTypes_Auto_infer(categorical_features=[],
  14002. display_types=True, features_todrop=[],
  14003. id_columns=[],
  14004. ml_usecase='classification',
  14005. numerical_features=[], target='label',
  14006. time_features=[])),
  14007. ('imputer',
  14008. Simple_Imputer(categorical_strategy='not_available',
  14009. fill_value_categorical=None,
  14010. fill_value_numerical=None,
  14011. numeric_strate...
  14012. target='label')),
  14013. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14014. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14015. ('dummy', Dummify(target='label')),
  14016. ('fix_perfect', Remove_100(target='label')),
  14017. ('clean_names', Clean_Colum_Names()),
  14018. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14019. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14020. verbose=False)
  14021. 2022-01-26 11:16:51,267:INFO:setup() succesfully completed......................................
  14022. 2022-01-26 11:16:59,004:INFO:Initializing compare_models()
  14023. 2022-01-26 11:16:59,004:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  14024. 2022-01-26 11:16:59,004:INFO:Checking exceptions
  14025. 2022-01-26 11:16:59,005:INFO:Preparing display monitor
  14026. 2022-01-26 11:16:59,006:INFO:Preparing display monitor
  14027. 2022-01-26 11:16:59,023:INFO:Initializing Logistic Regression
  14028. 2022-01-26 11:16:59,023:INFO:Total runtime is 5.316734313964844e-06 minutes
  14029. 2022-01-26 11:16:59,028:INFO:SubProcess create_model() called ==================================
  14030. 2022-01-26 11:16:59,029:INFO:Initializing create_model()
  14031. 2022-01-26 11:16:59,029:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14032. 2022-01-26 11:16:59,029:INFO:Checking exceptions
  14033. 2022-01-26 11:16:59,029:INFO:Importing libraries
  14034. 2022-01-26 11:16:59,029:INFO:Copying training dataset
  14035. 2022-01-26 11:16:59,030:INFO:Defining folds
  14036. 2022-01-26 11:16:59,030:INFO:Declaring metric variables
  14037. 2022-01-26 11:16:59,035:INFO:Importing untrained model
  14038. 2022-01-26 11:16:59,040:INFO:Logistic Regression Imported succesfully
  14039. 2022-01-26 11:16:59,051:INFO:Starting cross validation
  14040. 2022-01-26 11:16:59,052:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14041. 2022-01-26 11:17:04,419:INFO:Calculating mean and std
  14042. 2022-01-26 11:17:04,420:INFO:Creating metrics dataframe
  14043. 2022-01-26 11:17:04,425:INFO:Uploading results into container
  14044. 2022-01-26 11:17:04,426:INFO:Uploading model into container now
  14045. 2022-01-26 11:17:04,426:INFO:create_model_container: 1
  14046. 2022-01-26 11:17:04,426:INFO:master_model_container: 1
  14047. 2022-01-26 11:17:04,426:INFO:display_container: 2
  14048. 2022-01-26 11:17:04,427:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  14049. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  14050. multi_class='auto', n_jobs=None, penalty='l2',
  14051. random_state=6208, solver='lbfgs', tol=0.0001, verbose=0,
  14052. warm_start=False)
  14053. 2022-01-26 11:17:04,427:INFO:create_model() succesfully completed......................................
  14054. 2022-01-26 11:17:04,510:INFO:SubProcess create_model() end ==================================
  14055. 2022-01-26 11:17:04,510:INFO:Creating metrics dataframe
  14056. 2022-01-26 11:17:04,520:INFO:Initializing K Neighbors Classifier
  14057. 2022-01-26 11:17:04,520:INFO:Total runtime is 0.09162770907084147 minutes
  14058. 2022-01-26 11:17:04,526:INFO:SubProcess create_model() called ==================================
  14059. 2022-01-26 11:17:04,526:INFO:Initializing create_model()
  14060. 2022-01-26 11:17:04,527:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14061. 2022-01-26 11:17:04,527:INFO:Checking exceptions
  14062. 2022-01-26 11:17:04,527:INFO:Importing libraries
  14063. 2022-01-26 11:17:04,527:INFO:Copying training dataset
  14064. 2022-01-26 11:17:04,528:INFO:Defining folds
  14065. 2022-01-26 11:17:04,528:INFO:Declaring metric variables
  14066. 2022-01-26 11:17:04,534:INFO:Importing untrained model
  14067. 2022-01-26 11:17:04,539:INFO:K Neighbors Classifier Imported succesfully
  14068. 2022-01-26 11:17:04,550:INFO:Starting cross validation
  14069. 2022-01-26 11:17:04,550:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14070. 2022-01-26 11:17:17,138:INFO:Calculating mean and std
  14071. 2022-01-26 11:17:17,139:INFO:Creating metrics dataframe
  14072. 2022-01-26 11:17:17,142:INFO:Uploading results into container
  14073. 2022-01-26 11:17:17,142:INFO:Uploading model into container now
  14074. 2022-01-26 11:17:17,142:INFO:create_model_container: 2
  14075. 2022-01-26 11:17:17,142:INFO:master_model_container: 2
  14076. 2022-01-26 11:17:17,143:INFO:display_container: 2
  14077. 2022-01-26 11:17:17,143:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  14078. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  14079. weights='uniform')
  14080. 2022-01-26 11:17:17,143:INFO:create_model() succesfully completed......................................
  14081. 2022-01-26 11:17:17,226:INFO:SubProcess create_model() end ==================================
  14082. 2022-01-26 11:17:17,227:INFO:Creating metrics dataframe
  14083. 2022-01-26 11:17:17,238:INFO:Initializing Naive Bayes
  14084. 2022-01-26 11:17:17,238:INFO:Total runtime is 0.30358940760294595 minutes
  14085. 2022-01-26 11:17:17,244:INFO:SubProcess create_model() called ==================================
  14086. 2022-01-26 11:17:17,245:INFO:Initializing create_model()
  14087. 2022-01-26 11:17:17,245:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14088. 2022-01-26 11:17:17,245:INFO:Checking exceptions
  14089. 2022-01-26 11:17:17,245:INFO:Importing libraries
  14090. 2022-01-26 11:17:17,246:INFO:Copying training dataset
  14091. 2022-01-26 11:17:17,247:INFO:Defining folds
  14092. 2022-01-26 11:17:17,247:INFO:Declaring metric variables
  14093. 2022-01-26 11:17:17,253:INFO:Importing untrained model
  14094. 2022-01-26 11:17:17,258:INFO:Naive Bayes Imported succesfully
  14095. 2022-01-26 11:17:17,269:INFO:Starting cross validation
  14096. 2022-01-26 11:17:17,269:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14097. 2022-01-26 11:17:17,455:INFO:Calculating mean and std
  14098. 2022-01-26 11:17:17,456:INFO:Creating metrics dataframe
  14099. 2022-01-26 11:17:17,458:INFO:Uploading results into container
  14100. 2022-01-26 11:17:17,459:INFO:Uploading model into container now
  14101. 2022-01-26 11:17:17,459:INFO:create_model_container: 3
  14102. 2022-01-26 11:17:17,459:INFO:master_model_container: 3
  14103. 2022-01-26 11:17:17,459:INFO:display_container: 2
  14104. 2022-01-26 11:17:17,460:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  14105. 2022-01-26 11:17:17,460:INFO:create_model() succesfully completed......................................
  14106. 2022-01-26 11:17:17,526:INFO:SubProcess create_model() end ==================================
  14107. 2022-01-26 11:17:17,526:INFO:Creating metrics dataframe
  14108. 2022-01-26 11:17:17,537:INFO:Initializing Decision Tree Classifier
  14109. 2022-01-26 11:17:17,537:INFO:Total runtime is 0.30857091347376503 minutes
  14110. 2022-01-26 11:17:17,542:INFO:SubProcess create_model() called ==================================
  14111. 2022-01-26 11:17:17,543:INFO:Initializing create_model()
  14112. 2022-01-26 11:17:17,543:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14113. 2022-01-26 11:17:17,543:INFO:Checking exceptions
  14114. 2022-01-26 11:17:17,543:INFO:Importing libraries
  14115. 2022-01-26 11:17:17,543:INFO:Copying training dataset
  14116. 2022-01-26 11:17:17,544:INFO:Defining folds
  14117. 2022-01-26 11:17:17,544:INFO:Declaring metric variables
  14118. 2022-01-26 11:17:17,549:INFO:Importing untrained model
  14119. 2022-01-26 11:17:17,554:INFO:Decision Tree Classifier Imported succesfully
  14120. 2022-01-26 11:17:17,565:INFO:Starting cross validation
  14121. 2022-01-26 11:17:17,565:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14122. 2022-01-26 11:17:18,622:INFO:Calculating mean and std
  14123. 2022-01-26 11:17:18,623:INFO:Creating metrics dataframe
  14124. 2022-01-26 11:17:18,625:INFO:Uploading results into container
  14125. 2022-01-26 11:17:18,625:INFO:Uploading model into container now
  14126. 2022-01-26 11:17:18,626:INFO:create_model_container: 4
  14127. 2022-01-26 11:17:18,626:INFO:master_model_container: 4
  14128. 2022-01-26 11:17:18,626:INFO:display_container: 2
  14129. 2022-01-26 11:17:18,626:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  14130. max_depth=None, max_features=None, max_leaf_nodes=None,
  14131. min_impurity_decrease=0.0, min_impurity_split=None,
  14132. min_samples_leaf=1, min_samples_split=2,
  14133. min_weight_fraction_leaf=0.0, presort='deprecated',
  14134. random_state=6208, splitter='best')
  14135. 2022-01-26 11:17:18,627:INFO:create_model() succesfully completed......................................
  14136. 2022-01-26 11:17:18,705:INFO:SubProcess create_model() end ==================================
  14137. 2022-01-26 11:17:18,705:INFO:Creating metrics dataframe
  14138. 2022-01-26 11:17:18,717:INFO:Initializing SVM - Linear Kernel
  14139. 2022-01-26 11:17:18,717:INFO:Total runtime is 0.3282352526982625 minutes
  14140. 2022-01-26 11:17:18,722:INFO:SubProcess create_model() called ==================================
  14141. 2022-01-26 11:17:18,722:INFO:Initializing create_model()
  14142. 2022-01-26 11:17:18,723:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14143. 2022-01-26 11:17:18,723:INFO:Checking exceptions
  14144. 2022-01-26 11:17:18,723:INFO:Importing libraries
  14145. 2022-01-26 11:17:18,723:INFO:Copying training dataset
  14146. 2022-01-26 11:17:18,724:INFO:Defining folds
  14147. 2022-01-26 11:17:18,724:INFO:Declaring metric variables
  14148. 2022-01-26 11:17:18,730:INFO:Importing untrained model
  14149. 2022-01-26 11:17:18,735:INFO:SVM - Linear Kernel Imported succesfully
  14150. 2022-01-26 11:17:18,745:INFO:Starting cross validation
  14151. 2022-01-26 11:17:18,746:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14152. 2022-01-26 11:17:19,762:INFO:Calculating mean and std
  14153. 2022-01-26 11:17:19,763:INFO:Creating metrics dataframe
  14154. 2022-01-26 11:17:19,768:INFO:Uploading results into container
  14155. 2022-01-26 11:17:19,768:INFO:Uploading model into container now
  14156. 2022-01-26 11:17:19,769:INFO:create_model_container: 5
  14157. 2022-01-26 11:17:19,770:INFO:master_model_container: 5
  14158. 2022-01-26 11:17:19,771:INFO:display_container: 2
  14159. 2022-01-26 11:17:19,772:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  14160. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  14161. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  14162. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  14163. power_t=0.5, random_state=6208, shuffle=True, tol=0.001,
  14164. validation_fraction=0.1, verbose=0, warm_start=False)
  14165. 2022-01-26 11:17:19,774:INFO:create_model() succesfully completed......................................
  14166. 2022-01-26 11:17:19,865:INFO:SubProcess create_model() end ==================================
  14167. 2022-01-26 11:17:19,865:INFO:Creating metrics dataframe
  14168. 2022-01-26 11:17:19,876:INFO:Initializing Ridge Classifier
  14169. 2022-01-26 11:17:19,876:INFO:Total runtime is 0.34756100575129184 minutes
  14170. 2022-01-26 11:17:19,882:INFO:SubProcess create_model() called ==================================
  14171. 2022-01-26 11:17:19,882:INFO:Initializing create_model()
  14172. 2022-01-26 11:17:19,882:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14173. 2022-01-26 11:17:19,883:INFO:Checking exceptions
  14174. 2022-01-26 11:17:19,883:INFO:Importing libraries
  14175. 2022-01-26 11:17:19,883:INFO:Copying training dataset
  14176. 2022-01-26 11:17:19,884:INFO:Defining folds
  14177. 2022-01-26 11:17:19,884:INFO:Declaring metric variables
  14178. 2022-01-26 11:17:19,889:INFO:Importing untrained model
  14179. 2022-01-26 11:17:19,894:INFO:Ridge Classifier Imported succesfully
  14180. 2022-01-26 11:17:19,905:INFO:Starting cross validation
  14181. 2022-01-26 11:17:19,905:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14182. 2022-01-26 11:17:20,206:INFO:Calculating mean and std
  14183. 2022-01-26 11:17:20,208:INFO:Creating metrics dataframe
  14184. 2022-01-26 11:17:20,213:INFO:Uploading results into container
  14185. 2022-01-26 11:17:20,213:INFO:Uploading model into container now
  14186. 2022-01-26 11:17:20,215:INFO:create_model_container: 6
  14187. 2022-01-26 11:17:20,215:INFO:master_model_container: 6
  14188. 2022-01-26 11:17:20,215:INFO:display_container: 2
  14189. 2022-01-26 11:17:20,216:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  14190. max_iter=None, normalize=False, random_state=6208,
  14191. solver='auto', tol=0.001)
  14192. 2022-01-26 11:17:20,217:INFO:create_model() succesfully completed......................................
  14193. 2022-01-26 11:17:20,304:INFO:SubProcess create_model() end ==================================
  14194. 2022-01-26 11:17:20,304:INFO:Creating metrics dataframe
  14195. 2022-01-26 11:17:20,317:INFO:Initializing Random Forest Classifier
  14196. 2022-01-26 11:17:20,317:INFO:Total runtime is 0.3549059748649597 minutes
  14197. 2022-01-26 11:17:20,323:INFO:SubProcess create_model() called ==================================
  14198. 2022-01-26 11:17:20,324:INFO:Initializing create_model()
  14199. 2022-01-26 11:17:20,324:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14200. 2022-01-26 11:17:20,324:INFO:Checking exceptions
  14201. 2022-01-26 11:17:20,324:INFO:Importing libraries
  14202. 2022-01-26 11:17:20,324:INFO:Copying training dataset
  14203. 2022-01-26 11:17:20,326:INFO:Defining folds
  14204. 2022-01-26 11:17:20,326:INFO:Declaring metric variables
  14205. 2022-01-26 11:17:20,332:INFO:Importing untrained model
  14206. 2022-01-26 11:17:20,337:INFO:Random Forest Classifier Imported succesfully
  14207. 2022-01-26 11:17:20,348:INFO:Starting cross validation
  14208. 2022-01-26 11:17:20,349:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14209. 2022-01-26 11:17:26,934:INFO:Calculating mean and std
  14210. 2022-01-26 11:17:26,935:INFO:Creating metrics dataframe
  14211. 2022-01-26 11:17:26,938:INFO:Uploading results into container
  14212. 2022-01-26 11:17:26,938:INFO:Uploading model into container now
  14213. 2022-01-26 11:17:26,938:INFO:create_model_container: 7
  14214. 2022-01-26 11:17:26,939:INFO:master_model_container: 7
  14215. 2022-01-26 11:17:26,939:INFO:display_container: 2
  14216. 2022-01-26 11:17:26,939:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  14217. criterion='gini', max_depth=None, max_features='auto',
  14218. max_leaf_nodes=None, max_samples=None,
  14219. min_impurity_decrease=0.0, min_impurity_split=None,
  14220. min_samples_leaf=1, min_samples_split=2,
  14221. min_weight_fraction_leaf=0.0, n_estimators=100,
  14222. n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
  14223. warm_start=False)
  14224. 2022-01-26 11:17:26,939:INFO:create_model() succesfully completed......................................
  14225. 2022-01-26 11:17:27,020:INFO:SubProcess create_model() end ==================================
  14226. 2022-01-26 11:17:27,020:INFO:Creating metrics dataframe
  14227. 2022-01-26 11:17:27,032:INFO:Initializing Quadratic Discriminant Analysis
  14228. 2022-01-26 11:17:27,032:INFO:Total runtime is 0.46681727965672803 minutes
  14229. 2022-01-26 11:17:27,037:INFO:SubProcess create_model() called ==================================
  14230. 2022-01-26 11:17:27,037:INFO:Initializing create_model()
  14231. 2022-01-26 11:17:27,038:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14232. 2022-01-26 11:17:27,038:INFO:Checking exceptions
  14233. 2022-01-26 11:17:27,038:INFO:Importing libraries
  14234. 2022-01-26 11:17:27,038:INFO:Copying training dataset
  14235. 2022-01-26 11:17:27,039:INFO:Defining folds
  14236. 2022-01-26 11:17:27,039:INFO:Declaring metric variables
  14237. 2022-01-26 11:17:27,044:INFO:Importing untrained model
  14238. 2022-01-26 11:17:27,049:INFO:Quadratic Discriminant Analysis Imported succesfully
  14239. 2022-01-26 11:17:27,060:INFO:Starting cross validation
  14240. 2022-01-26 11:17:27,061:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14241. 2022-01-26 11:17:27,594:INFO:Calculating mean and std
  14242. 2022-01-26 11:17:27,595:INFO:Creating metrics dataframe
  14243. 2022-01-26 11:17:27,603:INFO:Uploading results into container
  14244. 2022-01-26 11:17:27,603:INFO:Uploading model into container now
  14245. 2022-01-26 11:17:27,604:INFO:create_model_container: 8
  14246. 2022-01-26 11:17:27,604:INFO:master_model_container: 8
  14247. 2022-01-26 11:17:27,605:INFO:display_container: 2
  14248. 2022-01-26 11:17:27,606:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  14249. store_covariance=False, tol=0.0001)
  14250. 2022-01-26 11:17:27,606:INFO:create_model() succesfully completed......................................
  14251. 2022-01-26 11:17:27,685:INFO:SubProcess create_model() end ==================================
  14252. 2022-01-26 11:17:27,686:INFO:Creating metrics dataframe
  14253. 2022-01-26 11:17:27,697:INFO:Initializing Ada Boost Classifier
  14254. 2022-01-26 11:17:27,698:INFO:Total runtime is 0.477915334701538 minutes
  14255. 2022-01-26 11:17:27,703:INFO:SubProcess create_model() called ==================================
  14256. 2022-01-26 11:17:27,703:INFO:Initializing create_model()
  14257. 2022-01-26 11:17:27,703:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14258. 2022-01-26 11:17:27,704:INFO:Checking exceptions
  14259. 2022-01-26 11:17:27,704:INFO:Importing libraries
  14260. 2022-01-26 11:17:27,704:INFO:Copying training dataset
  14261. 2022-01-26 11:17:27,705:INFO:Defining folds
  14262. 2022-01-26 11:17:27,705:INFO:Declaring metric variables
  14263. 2022-01-26 11:17:27,710:INFO:Importing untrained model
  14264. 2022-01-26 11:17:27,715:INFO:Ada Boost Classifier Imported succesfully
  14265. 2022-01-26 11:17:27,725:INFO:Starting cross validation
  14266. 2022-01-26 11:17:27,726:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14267. 2022-01-26 11:17:35,012:INFO:Calculating mean and std
  14268. 2022-01-26 11:17:35,013:INFO:Creating metrics dataframe
  14269. 2022-01-26 11:17:35,015:INFO:Uploading results into container
  14270. 2022-01-26 11:17:35,015:INFO:Uploading model into container now
  14271. 2022-01-26 11:17:35,016:INFO:create_model_container: 9
  14272. 2022-01-26 11:17:35,016:INFO:master_model_container: 9
  14273. 2022-01-26 11:17:35,016:INFO:display_container: 2
  14274. 2022-01-26 11:17:35,016:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  14275. n_estimators=50, random_state=6208)
  14276. 2022-01-26 11:17:35,016:INFO:create_model() succesfully completed......................................
  14277. 2022-01-26 11:17:35,085:INFO:SubProcess create_model() end ==================================
  14278. 2022-01-26 11:17:35,085:INFO:Creating metrics dataframe
  14279. 2022-01-26 11:17:35,097:INFO:Initializing Gradient Boosting Classifier
  14280. 2022-01-26 11:17:35,097:INFO:Total runtime is 0.6012375831604003 minutes
  14281. 2022-01-26 11:17:35,102:INFO:SubProcess create_model() called ==================================
  14282. 2022-01-26 11:17:35,103:INFO:Initializing create_model()
  14283. 2022-01-26 11:17:35,103:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14284. 2022-01-26 11:17:35,103:INFO:Checking exceptions
  14285. 2022-01-26 11:17:35,103:INFO:Importing libraries
  14286. 2022-01-26 11:17:35,103:INFO:Copying training dataset
  14287. 2022-01-26 11:17:35,104:INFO:Defining folds
  14288. 2022-01-26 11:17:35,105:INFO:Declaring metric variables
  14289. 2022-01-26 11:17:35,110:INFO:Importing untrained model
  14290. 2022-01-26 11:17:35,116:INFO:Gradient Boosting Classifier Imported succesfully
  14291. 2022-01-26 11:17:35,126:INFO:Starting cross validation
  14292. 2022-01-26 11:17:35,127:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14293. 2022-01-26 11:18:01,620:INFO:Calculating mean and std
  14294. 2022-01-26 11:18:01,621:INFO:Creating metrics dataframe
  14295. 2022-01-26 11:18:01,624:INFO:Uploading results into container
  14296. 2022-01-26 11:18:01,624:INFO:Uploading model into container now
  14297. 2022-01-26 11:18:01,624:INFO:create_model_container: 10
  14298. 2022-01-26 11:18:01,624:INFO:master_model_container: 10
  14299. 2022-01-26 11:18:01,625:INFO:display_container: 2
  14300. 2022-01-26 11:18:01,625:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  14301. learning_rate=0.1, loss='deviance', max_depth=3,
  14302. max_features=None, max_leaf_nodes=None,
  14303. min_impurity_decrease=0.0, min_impurity_split=None,
  14304. min_samples_leaf=1, min_samples_split=2,
  14305. min_weight_fraction_leaf=0.0, n_estimators=100,
  14306. n_iter_no_change=None, presort='deprecated',
  14307. random_state=6208, subsample=1.0, tol=0.0001,
  14308. validation_fraction=0.1, verbose=0,
  14309. warm_start=False)
  14310. 2022-01-26 11:18:01,626:INFO:create_model() succesfully completed......................................
  14311. 2022-01-26 11:18:01,701:INFO:SubProcess create_model() end ==================================
  14312. 2022-01-26 11:18:01,701:INFO:Creating metrics dataframe
  14313. 2022-01-26 11:18:01,714:INFO:Initializing Linear Discriminant Analysis
  14314. 2022-01-26 11:18:01,714:INFO:Total runtime is 1.0448512911796568 minutes
  14315. 2022-01-26 11:18:01,719:INFO:SubProcess create_model() called ==================================
  14316. 2022-01-26 11:18:01,719:INFO:Initializing create_model()
  14317. 2022-01-26 11:18:01,720:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14318. 2022-01-26 11:18:01,720:INFO:Checking exceptions
  14319. 2022-01-26 11:18:01,720:INFO:Importing libraries
  14320. 2022-01-26 11:18:01,720:INFO:Copying training dataset
  14321. 2022-01-26 11:18:01,721:INFO:Defining folds
  14322. 2022-01-26 11:18:01,722:INFO:Declaring metric variables
  14323. 2022-01-26 11:18:01,727:INFO:Importing untrained model
  14324. 2022-01-26 11:18:01,732:INFO:Linear Discriminant Analysis Imported succesfully
  14325. 2022-01-26 11:18:01,742:INFO:Starting cross validation
  14326. 2022-01-26 11:18:01,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14327. 2022-01-26 11:18:03,060:INFO:Calculating mean and std
  14328. 2022-01-26 11:18:03,062:INFO:Creating metrics dataframe
  14329. 2022-01-26 11:18:03,068:INFO:Uploading results into container
  14330. 2022-01-26 11:18:03,068:INFO:Uploading model into container now
  14331. 2022-01-26 11:18:03,069:INFO:create_model_container: 11
  14332. 2022-01-26 11:18:03,069:INFO:master_model_container: 11
  14333. 2022-01-26 11:18:03,070:INFO:display_container: 2
  14334. 2022-01-26 11:18:03,071:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  14335. solver='svd', store_covariance=False, tol=0.0001)
  14336. 2022-01-26 11:18:03,072:INFO:create_model() succesfully completed......................................
  14337. 2022-01-26 11:18:03,171:INFO:SubProcess create_model() end ==================================
  14338. 2022-01-26 11:18:03,171:INFO:Creating metrics dataframe
  14339. 2022-01-26 11:18:03,184:INFO:Initializing Extra Trees Classifier
  14340. 2022-01-26 11:18:03,184:INFO:Total runtime is 1.0693549036979673 minutes
  14341. 2022-01-26 11:18:03,189:INFO:SubProcess create_model() called ==================================
  14342. 2022-01-26 11:18:03,190:INFO:Initializing create_model()
  14343. 2022-01-26 11:18:03,190:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14344. 2022-01-26 11:18:03,190:INFO:Checking exceptions
  14345. 2022-01-26 11:18:03,190:INFO:Importing libraries
  14346. 2022-01-26 11:18:03,190:INFO:Copying training dataset
  14347. 2022-01-26 11:18:03,191:INFO:Defining folds
  14348. 2022-01-26 11:18:03,191:INFO:Declaring metric variables
  14349. 2022-01-26 11:18:03,197:INFO:Importing untrained model
  14350. 2022-01-26 11:18:03,202:INFO:Extra Trees Classifier Imported succesfully
  14351. 2022-01-26 11:18:03,212:INFO:Starting cross validation
  14352. 2022-01-26 11:18:03,213:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14353. 2022-01-26 11:18:10,156:INFO:Calculating mean and std
  14354. 2022-01-26 11:18:10,157:INFO:Creating metrics dataframe
  14355. 2022-01-26 11:18:10,160:INFO:Uploading results into container
  14356. 2022-01-26 11:18:10,160:INFO:Uploading model into container now
  14357. 2022-01-26 11:18:10,160:INFO:create_model_container: 12
  14358. 2022-01-26 11:18:10,160:INFO:master_model_container: 12
  14359. 2022-01-26 11:18:10,161:INFO:display_container: 2
  14360. 2022-01-26 11:18:10,161:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  14361. criterion='gini', max_depth=None, max_features='auto',
  14362. max_leaf_nodes=None, max_samples=None,
  14363. min_impurity_decrease=0.0, min_impurity_split=None,
  14364. min_samples_leaf=1, min_samples_split=2,
  14365. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  14366. oob_score=False, random_state=6208, verbose=0,
  14367. warm_start=False)
  14368. 2022-01-26 11:18:10,161:INFO:create_model() succesfully completed......................................
  14369. 2022-01-26 11:18:10,232:INFO:SubProcess create_model() end ==================================
  14370. 2022-01-26 11:18:10,232:INFO:Creating metrics dataframe
  14371. 2022-01-26 11:18:10,245:INFO:Initializing Light Gradient Boosting Machine
  14372. 2022-01-26 11:18:10,245:INFO:Total runtime is 1.1870358864466346 minutes
  14373. 2022-01-26 11:18:10,250:INFO:SubProcess create_model() called ==================================
  14374. 2022-01-26 11:18:10,251:INFO:Initializing create_model()
  14375. 2022-01-26 11:18:10,251:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14376. 2022-01-26 11:18:10,251:INFO:Checking exceptions
  14377. 2022-01-26 11:18:10,251:INFO:Importing libraries
  14378. 2022-01-26 11:18:10,252:INFO:Copying training dataset
  14379. 2022-01-26 11:18:10,253:INFO:Defining folds
  14380. 2022-01-26 11:18:10,253:INFO:Declaring metric variables
  14381. 2022-01-26 11:18:10,257:INFO:Importing untrained model
  14382. 2022-01-26 11:18:10,262:INFO:Light Gradient Boosting Machine Imported succesfully
  14383. 2022-01-26 11:18:10,273:INFO:Starting cross validation
  14384. 2022-01-26 11:18:10,274:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14385. 2022-01-26 11:18:13,268:INFO:Calculating mean and std
  14386. 2022-01-26 11:18:13,269:INFO:Creating metrics dataframe
  14387. 2022-01-26 11:18:13,271:INFO:Uploading results into container
  14388. 2022-01-26 11:18:13,271:INFO:Uploading model into container now
  14389. 2022-01-26 11:18:13,271:INFO:create_model_container: 13
  14390. 2022-01-26 11:18:13,271:INFO:master_model_container: 13
  14391. 2022-01-26 11:18:13,272:INFO:display_container: 2
  14392. 2022-01-26 11:18:13,272:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  14393. importance_type='split', learning_rate=0.1, max_depth=-1,
  14394. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  14395. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  14396. random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  14397. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  14398. 2022-01-26 11:18:13,272:INFO:create_model() succesfully completed......................................
  14399. 2022-01-26 11:18:13,342:INFO:SubProcess create_model() end ==================================
  14400. 2022-01-26 11:18:13,342:INFO:Creating metrics dataframe
  14401. 2022-01-26 11:18:13,355:INFO:Initializing Dummy Classifier
  14402. 2022-01-26 11:18:13,355:INFO:Total runtime is 1.2388765295346575 minutes
  14403. 2022-01-26 11:18:13,361:INFO:SubProcess create_model() called ==================================
  14404. 2022-01-26 11:18:13,361:INFO:Initializing create_model()
  14405. 2022-01-26 11:18:13,362:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7efdeaf5deb0>, kwargs={})
  14406. 2022-01-26 11:18:13,362:INFO:Checking exceptions
  14407. 2022-01-26 11:18:13,362:INFO:Importing libraries
  14408. 2022-01-26 11:18:13,362:INFO:Copying training dataset
  14409. 2022-01-26 11:18:13,363:INFO:Defining folds
  14410. 2022-01-26 11:18:13,363:INFO:Declaring metric variables
  14411. 2022-01-26 11:18:13,368:INFO:Importing untrained model
  14412. 2022-01-26 11:18:13,373:INFO:Dummy Classifier Imported succesfully
  14413. 2022-01-26 11:18:13,384:INFO:Starting cross validation
  14414. 2022-01-26 11:18:13,384:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14415. 2022-01-26 11:18:13,491:INFO:Calculating mean and std
  14416. 2022-01-26 11:18:13,492:INFO:Creating metrics dataframe
  14417. 2022-01-26 11:18:13,495:INFO:Uploading results into container
  14418. 2022-01-26 11:18:13,495:INFO:Uploading model into container now
  14419. 2022-01-26 11:18:13,495:INFO:create_model_container: 14
  14420. 2022-01-26 11:18:13,495:INFO:master_model_container: 14
  14421. 2022-01-26 11:18:13,495:INFO:display_container: 2
  14422. 2022-01-26 11:18:13,496:INFO:DummyClassifier(constant=None, random_state=6208, strategy='prior')
  14423. 2022-01-26 11:18:13,496:INFO:create_model() succesfully completed......................................
  14424. 2022-01-26 11:18:13,577:INFO:SubProcess create_model() end ==================================
  14425. 2022-01-26 11:18:13,577:INFO:Creating metrics dataframe
  14426. 2022-01-26 11:18:13,604:INFO:Initializing create_model()
  14427. 2022-01-26 11:18:13,604:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  14428. criterion='gini', max_depth=None, max_features='auto',
  14429. max_leaf_nodes=None, max_samples=None,
  14430. min_impurity_decrease=0.0, min_impurity_split=None,
  14431. min_samples_leaf=1, min_samples_split=2,
  14432. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  14433. oob_score=False, random_state=6208, verbose=0,
  14434. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14435. 2022-01-26 11:18:13,604:INFO:Checking exceptions
  14436. 2022-01-26 11:18:13,604:INFO:Importing libraries
  14437. 2022-01-26 11:18:13,605:INFO:Copying training dataset
  14438. 2022-01-26 11:18:13,605:INFO:Defining folds
  14439. 2022-01-26 11:18:13,606:INFO:Declaring metric variables
  14440. 2022-01-26 11:18:13,606:INFO:Importing untrained model
  14441. 2022-01-26 11:18:13,606:INFO:Declaring custom model
  14442. 2022-01-26 11:18:13,607:INFO:Extra Trees Classifier Imported succesfully
  14443. 2022-01-26 11:18:13,607:INFO:Cross validation set to False
  14444. 2022-01-26 11:18:13,607:INFO:Fitting Model
  14445. 2022-01-26 11:18:13,937:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  14446. criterion='gini', max_depth=None, max_features='auto',
  14447. max_leaf_nodes=None, max_samples=None,
  14448. min_impurity_decrease=0.0, min_impurity_split=None,
  14449. min_samples_leaf=1, min_samples_split=2,
  14450. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  14451. oob_score=False, random_state=6208, verbose=0,
  14452. warm_start=False)
  14453. 2022-01-26 11:18:13,937:INFO:create_models() succesfully completed......................................
  14454. 2022-01-26 11:18:14,008:INFO:Initializing create_model()
  14455. 2022-01-26 11:18:14,009:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  14456. criterion='gini', max_depth=None, max_features='auto',
  14457. max_leaf_nodes=None, max_samples=None,
  14458. min_impurity_decrease=0.0, min_impurity_split=None,
  14459. min_samples_leaf=1, min_samples_split=2,
  14460. min_weight_fraction_leaf=0.0, n_estimators=100,
  14461. n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
  14462. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14463. 2022-01-26 11:18:14,009:INFO:Checking exceptions
  14464. 2022-01-26 11:18:14,009:INFO:Importing libraries
  14465. 2022-01-26 11:18:14,009:INFO:Copying training dataset
  14466. 2022-01-26 11:18:14,010:INFO:Defining folds
  14467. 2022-01-26 11:18:14,010:INFO:Declaring metric variables
  14468. 2022-01-26 11:18:14,010:INFO:Importing untrained model
  14469. 2022-01-26 11:18:14,011:INFO:Declaring custom model
  14470. 2022-01-26 11:18:14,011:INFO:Random Forest Classifier Imported succesfully
  14471. 2022-01-26 11:18:14,011:INFO:Cross validation set to False
  14472. 2022-01-26 11:18:14,012:INFO:Fitting Model
  14473. 2022-01-26 11:18:14,378:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  14474. criterion='gini', max_depth=None, max_features='auto',
  14475. max_leaf_nodes=None, max_samples=None,
  14476. min_impurity_decrease=0.0, min_impurity_split=None,
  14477. min_samples_leaf=1, min_samples_split=2,
  14478. min_weight_fraction_leaf=0.0, n_estimators=100,
  14479. n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
  14480. warm_start=False)
  14481. 2022-01-26 11:18:14,378:INFO:create_models() succesfully completed......................................
  14482. 2022-01-26 11:18:14,455:INFO:Initializing create_model()
  14483. 2022-01-26 11:18:14,455:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  14484. importance_type='split', learning_rate=0.1, max_depth=-1,
  14485. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  14486. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  14487. random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  14488. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14489. 2022-01-26 11:18:14,455:INFO:Checking exceptions
  14490. 2022-01-26 11:18:14,456:INFO:Importing libraries
  14491. 2022-01-26 11:18:14,456:INFO:Copying training dataset
  14492. 2022-01-26 11:18:14,457:INFO:Defining folds
  14493. 2022-01-26 11:18:14,457:INFO:Declaring metric variables
  14494. 2022-01-26 11:18:14,457:INFO:Importing untrained model
  14495. 2022-01-26 11:18:14,457:INFO:Declaring custom model
  14496. 2022-01-26 11:18:14,457:INFO:Light Gradient Boosting Machine Imported succesfully
  14497. 2022-01-26 11:18:14,458:INFO:Cross validation set to False
  14498. 2022-01-26 11:18:14,458:INFO:Fitting Model
  14499. 2022-01-26 11:18:14,709:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  14500. importance_type='split', learning_rate=0.1, max_depth=-1,
  14501. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  14502. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  14503. random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  14504. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  14505. 2022-01-26 11:18:14,709:INFO:create_models() succesfully completed......................................
  14506. 2022-01-26 11:18:14,785:INFO:Initializing create_model()
  14507. 2022-01-26 11:18:14,785:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  14508. max_depth=None, max_features=None, max_leaf_nodes=None,
  14509. min_impurity_decrease=0.0, min_impurity_split=None,
  14510. min_samples_leaf=1, min_samples_split=2,
  14511. min_weight_fraction_leaf=0.0, presort='deprecated',
  14512. random_state=6208, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14513. 2022-01-26 11:18:14,785:INFO:Checking exceptions
  14514. 2022-01-26 11:18:14,786:INFO:Importing libraries
  14515. 2022-01-26 11:18:14,786:INFO:Copying training dataset
  14516. 2022-01-26 11:18:14,786:INFO:Defining folds
  14517. 2022-01-26 11:18:14,787:INFO:Declaring metric variables
  14518. 2022-01-26 11:18:14,787:INFO:Importing untrained model
  14519. 2022-01-26 11:18:14,787:INFO:Declaring custom model
  14520. 2022-01-26 11:18:14,787:INFO:Decision Tree Classifier Imported succesfully
  14521. 2022-01-26 11:18:14,788:INFO:Cross validation set to False
  14522. 2022-01-26 11:18:14,788:INFO:Fitting Model
  14523. 2022-01-26 11:18:14,890:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  14524. max_depth=None, max_features=None, max_leaf_nodes=None,
  14525. min_impurity_decrease=0.0, min_impurity_split=None,
  14526. min_samples_leaf=1, min_samples_split=2,
  14527. min_weight_fraction_leaf=0.0, presort='deprecated',
  14528. random_state=6208, splitter='best')
  14529. 2022-01-26 11:18:14,890:INFO:create_models() succesfully completed......................................
  14530. 2022-01-26 11:18:14,978:INFO:Initializing create_model()
  14531. 2022-01-26 11:18:14,978:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  14532. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  14533. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14534. 2022-01-26 11:18:14,978:INFO:Checking exceptions
  14535. 2022-01-26 11:18:14,979:INFO:Importing libraries
  14536. 2022-01-26 11:18:14,979:INFO:Copying training dataset
  14537. 2022-01-26 11:18:14,979:INFO:Defining folds
  14538. 2022-01-26 11:18:14,979:INFO:Declaring metric variables
  14539. 2022-01-26 11:18:14,980:INFO:Importing untrained model
  14540. 2022-01-26 11:18:14,980:INFO:Declaring custom model
  14541. 2022-01-26 11:18:14,980:INFO:K Neighbors Classifier Imported succesfully
  14542. 2022-01-26 11:18:14,981:INFO:Cross validation set to False
  14543. 2022-01-26 11:18:14,981:INFO:Fitting Model
  14544. 2022-01-26 11:18:15,731:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  14545. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  14546. weights='uniform')
  14547. 2022-01-26 11:18:15,732:INFO:create_models() succesfully completed......................................
  14548. 2022-01-26 11:18:15,805:INFO:Initializing create_model()
  14549. 2022-01-26 11:18:15,805:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  14550. learning_rate=0.1, loss='deviance', max_depth=3,
  14551. max_features=None, max_leaf_nodes=None,
  14552. min_impurity_decrease=0.0, min_impurity_split=None,
  14553. min_samples_leaf=1, min_samples_split=2,
  14554. min_weight_fraction_leaf=0.0, n_estimators=100,
  14555. n_iter_no_change=None, presort='deprecated',
  14556. random_state=6208, subsample=1.0, tol=0.0001,
  14557. validation_fraction=0.1, verbose=0,
  14558. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14559. 2022-01-26 11:18:15,806:INFO:Checking exceptions
  14560. 2022-01-26 11:18:15,806:INFO:Importing libraries
  14561. 2022-01-26 11:18:15,806:INFO:Copying training dataset
  14562. 2022-01-26 11:18:15,806:INFO:Defining folds
  14563. 2022-01-26 11:18:15,807:INFO:Declaring metric variables
  14564. 2022-01-26 11:18:15,807:INFO:Importing untrained model
  14565. 2022-01-26 11:18:15,807:INFO:Declaring custom model
  14566. 2022-01-26 11:18:15,807:INFO:Gradient Boosting Classifier Imported succesfully
  14567. 2022-01-26 11:18:15,808:INFO:Cross validation set to False
  14568. 2022-01-26 11:18:15,808:INFO:Fitting Model
  14569. 2022-01-26 11:18:18,766:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  14570. learning_rate=0.1, loss='deviance', max_depth=3,
  14571. max_features=None, max_leaf_nodes=None,
  14572. min_impurity_decrease=0.0, min_impurity_split=None,
  14573. min_samples_leaf=1, min_samples_split=2,
  14574. min_weight_fraction_leaf=0.0, n_estimators=100,
  14575. n_iter_no_change=None, presort='deprecated',
  14576. random_state=6208, subsample=1.0, tol=0.0001,
  14577. validation_fraction=0.1, verbose=0,
  14578. warm_start=False)
  14579. 2022-01-26 11:18:18,767:INFO:create_models() succesfully completed......................................
  14580. 2022-01-26 11:18:18,872:INFO:create_model_container: 14
  14581. 2022-01-26 11:18:18,873:INFO:master_model_container: 14
  14582. 2022-01-26 11:18:18,873:INFO:display_container: 2
  14583. 2022-01-26 11:18:18,874:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  14584. criterion='gini', max_depth=None, max_features='auto',
  14585. max_leaf_nodes=None, max_samples=None,
  14586. min_impurity_decrease=0.0, min_impurity_split=None,
  14587. min_samples_leaf=1, min_samples_split=2,
  14588. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  14589. oob_score=False, random_state=6208, verbose=0,
  14590. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  14591. criterion='gini', max_depth=None, max_features='auto',
  14592. max_leaf_nodes=None, max_samples=None,
  14593. min_impurity_decrease=0.0, min_impurity_split=None,
  14594. min_samples_leaf=1, min_samples_split=2,
  14595. min_weight_fraction_leaf=0.0, n_estimators=100,
  14596. n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
  14597. warm_start=False), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  14598. importance_type='split', learning_rate=0.1, max_depth=-1,
  14599. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  14600. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  14601. random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  14602. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  14603. max_depth=None, max_features=None, max_leaf_nodes=None,
  14604. min_impurity_decrease=0.0, min_impurity_split=None,
  14605. min_samples_leaf=1, min_samples_split=2,
  14606. min_weight_fraction_leaf=0.0, presort='deprecated',
  14607. random_state=6208, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  14608. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  14609. weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  14610. learning_rate=0.1, loss='deviance', max_depth=3,
  14611. max_features=None, max_leaf_nodes=None,
  14612. min_impurity_decrease=0.0, min_impurity_split=None,
  14613. min_samples_leaf=1, min_samples_split=2,
  14614. min_weight_fraction_leaf=0.0, n_estimators=100,
  14615. n_iter_no_change=None, presort='deprecated',
  14616. random_state=6208, subsample=1.0, tol=0.0001,
  14617. validation_fraction=0.1, verbose=0,
  14618. warm_start=False)]
  14619. 2022-01-26 11:18:18,874:INFO:compare_models() succesfully completed......................................
  14620. 2022-01-26 13:16:01,191:INFO:PyCaret Supervised Module
  14621. 2022-01-26 13:16:01,191:INFO:ML Usecase: classification
  14622. 2022-01-26 13:16:01,192:INFO:version 2.3.6
  14623. 2022-01-26 13:16:01,192:INFO:Initializing setup()
  14624. 2022-01-26 13:16:01,192:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  14625. 2022-01-26 13:16:01,192:INFO:Checking environment
  14626. 2022-01-26 13:16:01,193:INFO:python_version: 3.8.8
  14627. 2022-01-26 13:16:01,193:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  14628. 2022-01-26 13:16:01,193:INFO:machine: x86_64
  14629. 2022-01-26 13:16:01,193:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  14630. 2022-01-26 13:16:01,193:INFO:Memory: svmem(total=33619935232, available=27812626432, percent=17.3, used=4950999040, free=24056307712, active=1623891968, inactive=7239864320, buffers=1002676224, cached=3609952256, shared=383635456, slab=349773824)
  14631. 2022-01-26 13:16:01,194:INFO:Physical Core: 16
  14632. 2022-01-26 13:16:01,195:INFO:Logical Core: 32
  14633. 2022-01-26 13:16:01,195:INFO:Checking libraries
  14634. 2022-01-26 13:16:01,195:INFO:pd==1.2.4
  14635. 2022-01-26 13:16:01,195:INFO:numpy==1.19.5
  14636. 2022-01-26 13:16:01,195:INFO:sklearn==0.23.2
  14637. 2022-01-26 13:16:01,196:INFO:lightgbm==3.3.2
  14638. 2022-01-26 13:16:01,196:WARNING:catboost not found
  14639. 2022-01-26 13:16:01,207:INFO:xgboost==1.5.2
  14640. 2022-01-26 13:16:01,337:INFO:mlflow==1.22.0
  14641. 2022-01-26 13:16:01,337:INFO:Checking Exceptions
  14642. 2022-01-26 13:16:01,338:INFO:Declaring global variables
  14643. 2022-01-26 13:16:01,338:INFO:USI: 4809
  14644. 2022-01-26 13:16:01,338:INFO:pycaret_globals: {'exp_name_log', 'seed', 'gpu_param', 'stratify_param', 'prep_pipe', 'transform_target_method_param', 'fold_generator', 'logging_param', 'experiment__', 'fold_groups_param_full', '_gpu_n_jobs_param', 'y', '_all_metrics', 'y_train', '_available_plots', 'imputation_regressor', 'y_test', 'X_test', 'display_container', '_ml_usecase', 'target_param', 'fold_param', 'X_train', 'pycaret_globals', 'X', 'master_model_container', 'log_plots_param', 'iterative_imputation_iters_param', '_all_models_internal', '_internal_pipeline', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param', 'fix_imbalance_param', 'USI', 'transform_target_param', 'fix_imbalance_method_param', 'html_param', 'n_jobs_param', 'create_model_container', 'imputation_classifier', '_all_models'}
  14645. 2022-01-26 13:16:01,338:INFO:Preparing display monitor
  14646. 2022-01-26 13:16:01,338:INFO:Preparing display monitor
  14647. 2022-01-26 13:16:01,348:INFO:Importing libraries
  14648. 2022-01-26 13:16:01,349:INFO:Copying data for preprocessing
  14649. 2022-01-26 13:16:01,355:INFO:Declaring preprocessing parameters
  14650. 2022-01-26 13:16:01,356:WARNING:cuML not found
  14651. 2022-01-26 13:16:01,356:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  14652. 2022-01-26 13:16:01,360:INFO:Creating preprocessing pipeline
  14653. 2022-01-26 13:16:01,409:INFO:Preprocessing pipeline created successfully
  14654. 2022-01-26 13:16:01,409:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  14655. 2022-01-26 13:16:01,409:INFO:Creating global containers
  14656. 2022-01-26 13:16:01,410:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  14657. 2022-01-26 13:16:03,310:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14658. 2022-01-26 13:16:03,340:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14659. 2022-01-26 13:16:03,341:WARNING:Couldn't import cuml.MBSGDClassifier
  14660. 2022-01-26 13:16:03,342:WARNING:Couldn't import cuml.svm.SVC
  14661. 2022-01-26 13:16:03,359:WARNING:Couldn't import cuml.linear_model
  14662. 2022-01-26 13:16:03,363:WARNING:Couldn't import cuml.ensemble
  14663. 2022-01-26 13:16:03,374:WARNING:Couldn't import catboost.CatBoostClassifier
  14664. 2022-01-26 13:16:03,375:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14665. 2022-01-26 13:16:03,407:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14666. 2022-01-26 13:16:03,408:WARNING:Couldn't import cuml.MBSGDClassifier
  14667. 2022-01-26 13:16:03,409:WARNING:Couldn't import cuml.svm.SVC
  14668. 2022-01-26 13:16:03,424:WARNING:Couldn't import cuml.linear_model
  14669. 2022-01-26 13:16:03,428:WARNING:Couldn't import cuml.ensemble
  14670. 2022-01-26 13:16:03,437:WARNING:Couldn't import catboost.CatBoostClassifier
  14671. 2022-01-26 13:16:03,437:INFO:Creating grid variables
  14672. 2022-01-26 13:16:03,450:INFO:create_model_container: 0
  14673. 2022-01-26 13:16:03,450:INFO:master_model_container: 0
  14674. 2022-01-26 13:16:03,450:INFO:display_container: 1
  14675. 2022-01-26 13:16:03,453:INFO:Pipeline(memory=None,
  14676. steps=[('dtypes',
  14677. DataTypes_Auto_infer(categorical_features=[],
  14678. display_types=True, features_todrop=[],
  14679. id_columns=[],
  14680. ml_usecase='classification',
  14681. numerical_features=[], target='label',
  14682. time_features=[])),
  14683. ('imputer',
  14684. Simple_Imputer(categorical_strategy='not_available',
  14685. fill_value_categorical=None,
  14686. fill_value_numerical=None,
  14687. numeric_strate...
  14688. target='label')),
  14689. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14690. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14691. ('dummy', Dummify(target='label')),
  14692. ('fix_perfect', Remove_100(target='label')),
  14693. ('clean_names', Clean_Colum_Names()),
  14694. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14695. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14696. verbose=False)
  14697. 2022-01-26 13:16:03,453:INFO:setup() succesfully completed......................................
  14698. 2022-01-26 13:16:38,840:INFO:Initializing create_model()
  14699. 2022-01-26 13:16:38,840:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14700. 2022-01-26 13:16:38,841:INFO:Checking exceptions
  14701. 2022-01-26 13:16:38,841:INFO:Preparing display monitor
  14702. 2022-01-26 13:16:38,853:INFO:Importing libraries
  14703. 2022-01-26 13:16:38,853:INFO:Copying training dataset
  14704. 2022-01-26 13:16:38,855:INFO:Defining folds
  14705. 2022-01-26 13:16:38,855:INFO:Declaring metric variables
  14706. 2022-01-26 13:16:38,863:INFO:Importing untrained model
  14707. 2022-01-26 13:16:38,869:INFO:Extreme Gradient Boosting Imported succesfully
  14708. 2022-01-26 13:16:38,881:INFO:Starting cross validation
  14709. 2022-01-26 13:16:38,882:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14710. 2022-01-26 13:17:58,037:INFO:Calculating mean and std
  14711. 2022-01-26 13:17:58,038:INFO:Creating metrics dataframe
  14712. 2022-01-26 13:17:58,046:INFO:Finalizing model
  14713. 2022-01-26 13:18:42,822:INFO:PyCaret Supervised Module
  14714. 2022-01-26 13:18:42,822:INFO:ML Usecase: classification
  14715. 2022-01-26 13:18:42,823:INFO:version 2.3.6
  14716. 2022-01-26 13:18:42,823:INFO:Initializing setup()
  14717. 2022-01-26 13:18:42,823:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  14718. 2022-01-26 13:18:42,823:INFO:Checking environment
  14719. 2022-01-26 13:18:42,823:INFO:python_version: 3.8.8
  14720. 2022-01-26 13:18:42,823:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  14721. 2022-01-26 13:18:42,824:INFO:machine: x86_64
  14722. 2022-01-26 13:18:42,824:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  14723. 2022-01-26 13:18:42,824:INFO:Memory: svmem(total=33619935232, available=27206123520, percent=19.1, used=5496029184, free=23255310336, active=1624793088, inactive=8028012544, buffers=1003274240, cached=3865321472, shared=445108224, slab=355237888)
  14724. 2022-01-26 13:18:42,825:INFO:Physical Core: 16
  14725. 2022-01-26 13:18:42,825:INFO:Logical Core: 32
  14726. 2022-01-26 13:18:42,825:INFO:Checking libraries
  14727. 2022-01-26 13:18:42,825:INFO:pd==1.2.4
  14728. 2022-01-26 13:18:42,825:INFO:numpy==1.19.5
  14729. 2022-01-26 13:18:42,825:INFO:sklearn==0.23.2
  14730. 2022-01-26 13:18:42,825:INFO:lightgbm==3.3.2
  14731. 2022-01-26 13:18:42,826:WARNING:catboost not found
  14732. 2022-01-26 13:18:42,826:INFO:xgboost==1.5.2
  14733. 2022-01-26 13:18:42,826:INFO:mlflow==1.22.0
  14734. 2022-01-26 13:18:42,826:INFO:Checking Exceptions
  14735. 2022-01-26 13:18:42,826:INFO:Declaring global variables
  14736. 2022-01-26 13:18:42,827:INFO:USI: f139
  14737. 2022-01-26 13:18:42,827:INFO:pycaret_globals: {'exp_name_log', 'seed', 'gpu_param', 'stratify_param', 'prep_pipe', 'transform_target_method_param', 'fold_generator', 'logging_param', 'experiment__', 'fold_groups_param_full', '_gpu_n_jobs_param', 'y', '_all_metrics', 'y_train', '_available_plots', 'imputation_regressor', 'y_test', 'X_test', 'display_container', '_ml_usecase', 'target_param', 'fold_param', 'X_train', 'pycaret_globals', 'X', 'master_model_container', 'log_plots_param', 'iterative_imputation_iters_param', '_all_models_internal', '_internal_pipeline', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param', 'fix_imbalance_param', 'USI', 'transform_target_param', 'fix_imbalance_method_param', 'html_param', 'n_jobs_param', 'create_model_container', 'imputation_classifier', '_all_models'}
  14738. 2022-01-26 13:18:42,827:INFO:Preparing display monitor
  14739. 2022-01-26 13:18:42,827:INFO:Preparing display monitor
  14740. 2022-01-26 13:18:42,835:INFO:Importing libraries
  14741. 2022-01-26 13:18:42,835:INFO:Copying data for preprocessing
  14742. 2022-01-26 13:18:42,841:INFO:Declaring preprocessing parameters
  14743. 2022-01-26 13:18:42,843:INFO:Creating preprocessing pipeline
  14744. 2022-01-26 13:18:42,887:INFO:Preprocessing pipeline created successfully
  14745. 2022-01-26 13:18:42,887:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  14746. 2022-01-26 13:18:42,888:INFO:Creating global containers
  14747. 2022-01-26 13:18:42,888:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  14748. 2022-01-26 13:18:44,507:WARNING:Couldn't import catboost.CatBoostClassifier
  14749. 2022-01-26 13:18:44,556:WARNING:Couldn't import catboost.CatBoostClassifier
  14750. 2022-01-26 13:18:44,556:INFO:Creating grid variables
  14751. 2022-01-26 13:18:44,566:INFO:create_model_container: 0
  14752. 2022-01-26 13:18:44,566:INFO:master_model_container: 0
  14753. 2022-01-26 13:18:44,567:INFO:display_container: 1
  14754. 2022-01-26 13:18:44,569:INFO:Pipeline(memory=None,
  14755. steps=[('dtypes',
  14756. DataTypes_Auto_infer(categorical_features=[],
  14757. display_types=True, features_todrop=[],
  14758. id_columns=[],
  14759. ml_usecase='classification',
  14760. numerical_features=[], target='label',
  14761. time_features=[])),
  14762. ('imputer',
  14763. Simple_Imputer(categorical_strategy='not_available',
  14764. fill_value_categorical=None,
  14765. fill_value_numerical=None,
  14766. numeric_strate...
  14767. target='label')),
  14768. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14769. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14770. ('dummy', Dummify(target='label')),
  14771. ('fix_perfect', Remove_100(target='label')),
  14772. ('clean_names', Clean_Colum_Names()),
  14773. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14774. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14775. verbose=False)
  14776. 2022-01-26 13:18:44,569:INFO:setup() succesfully completed......................................
  14777. 2022-01-26 13:18:49,170:INFO:Initializing create_model()
  14778. 2022-01-26 13:18:49,170:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14779. 2022-01-26 13:18:49,171:INFO:Checking exceptions
  14780. 2022-01-26 13:18:49,171:INFO:Preparing display monitor
  14781. 2022-01-26 13:18:49,182:INFO:Importing libraries
  14782. 2022-01-26 13:18:49,182:INFO:Copying training dataset
  14783. 2022-01-26 13:18:49,183:INFO:Defining folds
  14784. 2022-01-26 13:18:49,183:INFO:Declaring metric variables
  14785. 2022-01-26 13:18:49,189:INFO:Importing untrained model
  14786. 2022-01-26 13:18:49,195:INFO:Extreme Gradient Boosting Imported succesfully
  14787. 2022-01-26 13:18:49,206:INFO:Starting cross validation
  14788. 2022-01-26 13:18:49,207:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  14789. 2022-01-26 13:27:30,798:INFO:Calculating mean and std
  14790. 2022-01-26 13:27:30,799:INFO:Creating metrics dataframe
  14791. 2022-01-26 13:27:30,809:INFO:Finalizing model
  14792. 2022-01-26 13:27:31,527:INFO:Uploading results into container
  14793. 2022-01-26 13:27:31,527:INFO:Uploading model into container now
  14794. 2022-01-26 13:27:31,538:INFO:create_model_container: 1
  14795. 2022-01-26 13:27:31,539:INFO:master_model_container: 1
  14796. 2022-01-26 13:27:31,539:INFO:display_container: 2
  14797. 2022-01-26 13:27:31,540:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  14798. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  14799. gamma=0, gpu_id=-1, importance_type=None,
  14800. interaction_constraints='', learning_rate=0.300000012,
  14801. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  14802. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  14803. num_parallel_tree=1, objective='binary:logistic',
  14804. predictor='auto', random_state=1642, reg_alpha=0, reg_lambda=1,
  14805. scale_pos_weight=1, subsample=1, tree_method='auto',
  14806. use_label_encoder=True, validate_parameters=1, verbosity=0)
  14807. 2022-01-26 13:27:31,540:INFO:create_model() succesfully completed......................................
  14808. 2022-01-26 13:28:23,554:INFO:Initializing tune_model()
  14809. 2022-01-26 13:28:23,554:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  14810. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  14811. gamma=0, gpu_id=-1, importance_type=None,
  14812. interaction_constraints='', learning_rate=0.300000012,
  14813. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  14814. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  14815. num_parallel_tree=1, objective='binary:logistic',
  14816. predictor='auto', random_state=1642, reg_alpha=0, reg_lambda=1,
  14817. scale_pos_weight=1, subsample=1, tree_method='auto',
  14818. use_label_encoder=True, validate_parameters=1, verbosity=0), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  14819. 2022-01-26 13:28:23,554:INFO:Checking exceptions
  14820. 2022-01-26 13:28:23,556:INFO:Preparing display monitor
  14821. 2022-01-26 13:28:23,569:INFO:Copying training dataset
  14822. 2022-01-26 13:28:23,572:INFO:Checking base model
  14823. 2022-01-26 13:28:23,573:INFO:Base model : Extreme Gradient Boosting
  14824. 2022-01-26 13:28:23,589:INFO:Declaring metric variables
  14825. 2022-01-26 13:28:23,596:INFO:Defining Hyperparameters
  14826. 2022-01-26 13:28:23,687:INFO:Tuning with n_jobs=-1
  14827. 2022-01-26 13:28:23,687:INFO:Initializing RandomizedSearchCV
  14828. 2022-01-26 13:55:52,606:INFO:PyCaret Supervised Module
  14829. 2022-01-26 13:55:52,606:INFO:ML Usecase: classification
  14830. 2022-01-26 13:55:52,606:INFO:version 2.3.6
  14831. 2022-01-26 13:55:52,606:INFO:Initializing setup()
  14832. 2022-01-26 13:55:52,607:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  14833. 2022-01-26 13:55:52,607:INFO:Checking environment
  14834. 2022-01-26 13:55:52,607:INFO:python_version: 3.8.8
  14835. 2022-01-26 13:55:52,607:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  14836. 2022-01-26 13:55:52,607:INFO:machine: x86_64
  14837. 2022-01-26 13:55:52,607:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  14838. 2022-01-26 13:55:52,607:INFO:Memory: svmem(total=33619935232, available=27708166144, percent=17.6, used=5055434752, free=14607204352, active=3988914176, inactive=14045073408, buffers=1019383808, cached=12937912320, shared=383660032, slab=625655808)
  14839. 2022-01-26 13:55:52,608:INFO:Physical Core: 16
  14840. 2022-01-26 13:55:52,608:INFO:Logical Core: 32
  14841. 2022-01-26 13:55:52,609:INFO:Checking libraries
  14842. 2022-01-26 13:55:52,609:INFO:pd==1.2.4
  14843. 2022-01-26 13:55:52,609:INFO:numpy==1.19.5
  14844. 2022-01-26 13:55:52,609:INFO:sklearn==0.23.2
  14845. 2022-01-26 13:55:52,609:INFO:lightgbm==3.3.2
  14846. 2022-01-26 13:55:52,610:WARNING:catboost not found
  14847. 2022-01-26 13:55:52,619:INFO:xgboost==1.5.2
  14848. 2022-01-26 13:55:52,744:INFO:mlflow==1.22.0
  14849. 2022-01-26 13:55:52,745:INFO:Checking Exceptions
  14850. 2022-01-26 13:55:52,745:INFO:Declaring global variables
  14851. 2022-01-26 13:55:52,745:INFO:USI: 074c
  14852. 2022-01-26 13:55:52,745:INFO:pycaret_globals: {'fold_groups_param', 'fold_groups_param_full', 'y_train', '_gpu_n_jobs_param', '_internal_pipeline', 'fold_shuffle_param', 'y_test', 'prep_pipe', '_ml_usecase', 'html_param', 'X_train', 'data_before_preprocess', 'seed', 'create_model_container', '_all_models_internal', 'imputation_classifier', 'experiment__', 'fold_generator', 'display_container', 'USI', 'y', 'X_test', 'n_jobs_param', 'target_param', 'gpu_param', 'exp_name_log', 'iterative_imputation_iters_param', '_available_plots', 'logging_param', 'stratify_param', 'transform_target_method_param', 'log_plots_param', 'X', 'transform_target_param', 'fix_imbalance_param', 'master_model_container', 'imputation_regressor', 'fold_param', 'pycaret_globals', 'fix_imbalance_method_param', '_all_models', '_all_metrics'}
  14853. 2022-01-26 13:55:52,745:INFO:Preparing display monitor
  14854. 2022-01-26 13:55:52,746:INFO:Preparing display monitor
  14855. 2022-01-26 13:55:52,755:INFO:Importing libraries
  14856. 2022-01-26 13:55:52,755:INFO:Copying data for preprocessing
  14857. 2022-01-26 13:55:52,761:INFO:Declaring preprocessing parameters
  14858. 2022-01-26 13:55:52,762:WARNING:cuML not found
  14859. 2022-01-26 13:55:52,762:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  14860. 2022-01-26 13:55:52,768:INFO:Creating preprocessing pipeline
  14861. 2022-01-26 13:55:52,815:INFO:Preprocessing pipeline created successfully
  14862. 2022-01-26 13:55:52,816:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  14863. 2022-01-26 13:55:52,816:INFO:Creating global containers
  14864. 2022-01-26 13:55:52,817:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  14865. 2022-01-26 13:55:54,788:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14866. 2022-01-26 13:55:54,818:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14867. 2022-01-26 13:55:54,820:WARNING:Couldn't import cuml.MBSGDClassifier
  14868. 2022-01-26 13:55:54,821:WARNING:Couldn't import cuml.svm.SVC
  14869. 2022-01-26 13:55:54,836:WARNING:Couldn't import cuml.linear_model
  14870. 2022-01-26 13:55:54,839:WARNING:Couldn't import cuml.ensemble
  14871. 2022-01-26 13:55:54,849:WARNING:Couldn't import catboost.CatBoostClassifier
  14872. 2022-01-26 13:55:54,849:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14873. 2022-01-26 13:55:54,879:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14874. 2022-01-26 13:55:54,879:WARNING:Couldn't import cuml.MBSGDClassifier
  14875. 2022-01-26 13:55:54,880:WARNING:Couldn't import cuml.svm.SVC
  14876. 2022-01-26 13:55:54,894:WARNING:Couldn't import cuml.linear_model
  14877. 2022-01-26 13:55:54,897:WARNING:Couldn't import cuml.ensemble
  14878. 2022-01-26 13:55:54,904:WARNING:Couldn't import catboost.CatBoostClassifier
  14879. 2022-01-26 13:55:54,904:INFO:Creating grid variables
  14880. 2022-01-26 13:55:54,916:INFO:create_model_container: 0
  14881. 2022-01-26 13:55:54,916:INFO:master_model_container: 0
  14882. 2022-01-26 13:55:54,916:INFO:display_container: 1
  14883. 2022-01-26 13:55:54,919:INFO:Pipeline(memory=None,
  14884. steps=[('dtypes',
  14885. DataTypes_Auto_infer(categorical_features=[],
  14886. display_types=True, features_todrop=[],
  14887. id_columns=[],
  14888. ml_usecase='classification',
  14889. numerical_features=[], target='label',
  14890. time_features=[])),
  14891. ('imputer',
  14892. Simple_Imputer(categorical_strategy='not_available',
  14893. fill_value_categorical=None,
  14894. fill_value_numerical=None,
  14895. numeric_strate...
  14896. target='label')),
  14897. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14898. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14899. ('dummy', Dummify(target='label')),
  14900. ('fix_perfect', Remove_100(target='label')),
  14901. ('clean_names', Clean_Colum_Names()),
  14902. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14903. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14904. verbose=False)
  14905. 2022-01-26 13:55:54,919:INFO:setup() succesfully completed......................................
  14906. 2022-01-26 13:56:08,045:INFO:Initializing create_model()
  14907. 2022-01-26 13:56:08,045:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  14908. 2022-01-26 13:56:08,045:INFO:Checking exceptions
  14909. 2022-01-26 13:56:08,046:INFO:Preparing display monitor
  14910. 2022-01-26 13:56:08,056:INFO:Importing libraries
  14911. 2022-01-26 13:56:08,056:INFO:Copying training dataset
  14912. 2022-01-26 13:56:08,058:INFO:Defining folds
  14913. 2022-01-26 13:56:08,058:INFO:Declaring metric variables
  14914. 2022-01-26 13:56:08,063:INFO:Importing untrained model
  14915. 2022-01-26 13:56:08,068:INFO:Extreme Gradient Boosting Imported succesfully
  14916. 2022-01-26 13:56:08,078:INFO:Starting cross validation
  14917. 2022-01-26 13:56:08,079:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  14918. 2022-01-26 13:56:08,880:INFO:Calculating mean and std
  14919. 2022-01-26 13:56:08,881:INFO:Creating metrics dataframe
  14920. 2022-01-26 13:56:08,889:INFO:Finalizing model
  14921. 2022-01-26 13:59:37,418:INFO:PyCaret Supervised Module
  14922. 2022-01-26 13:59:37,419:INFO:ML Usecase: classification
  14923. 2022-01-26 13:59:37,419:INFO:version 2.3.6
  14924. 2022-01-26 13:59:37,419:INFO:Initializing setup()
  14925. 2022-01-26 13:59:37,419:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  14926. 2022-01-26 13:59:37,420:INFO:Checking environment
  14927. 2022-01-26 13:59:37,420:INFO:python_version: 3.8.8
  14928. 2022-01-26 13:59:37,420:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  14929. 2022-01-26 13:59:37,420:INFO:machine: x86_64
  14930. 2022-01-26 13:59:37,420:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  14931. 2022-01-26 13:59:37,420:INFO:Memory: svmem(total=33619935232, available=27700686848, percent=17.6, used=5062914048, free=14599413760, active=4033830912, inactive=14008410112, buffers=1019535360, cached=12938072064, shared=383660032, slab=625803264)
  14932. 2022-01-26 13:59:37,421:INFO:Physical Core: 16
  14933. 2022-01-26 13:59:37,421:INFO:Logical Core: 32
  14934. 2022-01-26 13:59:37,422:INFO:Checking libraries
  14935. 2022-01-26 13:59:37,422:INFO:pd==1.2.4
  14936. 2022-01-26 13:59:37,422:INFO:numpy==1.19.5
  14937. 2022-01-26 13:59:37,422:INFO:sklearn==0.23.2
  14938. 2022-01-26 13:59:37,422:INFO:lightgbm==3.3.2
  14939. 2022-01-26 13:59:37,423:WARNING:catboost not found
  14940. 2022-01-26 13:59:37,431:INFO:xgboost==1.5.2
  14941. 2022-01-26 13:59:37,555:INFO:mlflow==1.22.0
  14942. 2022-01-26 13:59:37,556:INFO:Checking Exceptions
  14943. 2022-01-26 13:59:37,556:INFO:Declaring global variables
  14944. 2022-01-26 13:59:37,556:INFO:USI: 5282
  14945. 2022-01-26 13:59:37,556:INFO:pycaret_globals: {'USI', 'n_jobs_param', 'transform_target_param', 'data_before_preprocess', 'exp_name_log', '_all_models_internal', '_all_models', 'display_container', 'fold_param', 'X_train', '_gpu_n_jobs_param', 'experiment__', 'seed', '_internal_pipeline', 'y_train', 'X', 'fold_groups_param', '_ml_usecase', '_available_plots', 'fix_imbalance_method_param', 'X_test', 'transform_target_method_param', 'gpu_param', 'create_model_container', 'target_param', 'y', '_all_metrics', 'fold_shuffle_param', 'fold_generator', 'imputation_classifier', 'fold_groups_param_full', 'pycaret_globals', 'iterative_imputation_iters_param', 'html_param', 'logging_param', 'master_model_container', 'y_test', 'fix_imbalance_param', 'log_plots_param', 'stratify_param', 'prep_pipe', 'imputation_regressor'}
  14946. 2022-01-26 13:59:37,557:INFO:Preparing display monitor
  14947. 2022-01-26 13:59:37,557:INFO:Preparing display monitor
  14948. 2022-01-26 13:59:37,567:INFO:Importing libraries
  14949. 2022-01-26 13:59:37,567:INFO:Copying data for preprocessing
  14950. 2022-01-26 13:59:37,573:INFO:Declaring preprocessing parameters
  14951. 2022-01-26 13:59:37,574:WARNING:cuML not found
  14952. 2022-01-26 13:59:37,574:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  14953. 2022-01-26 13:59:37,578:INFO:Creating preprocessing pipeline
  14954. 2022-01-26 13:59:37,625:INFO:Preprocessing pipeline created successfully
  14955. 2022-01-26 13:59:37,625:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  14956. 2022-01-26 13:59:37,626:INFO:Creating global containers
  14957. 2022-01-26 13:59:37,627:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  14958. 2022-01-26 13:59:39,625:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14959. 2022-01-26 13:59:39,653:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14960. 2022-01-26 13:59:39,655:WARNING:Couldn't import cuml.MBSGDClassifier
  14961. 2022-01-26 13:59:39,656:WARNING:Couldn't import cuml.svm.SVC
  14962. 2022-01-26 13:59:39,671:WARNING:Couldn't import cuml.linear_model
  14963. 2022-01-26 13:59:39,674:WARNING:Couldn't import cuml.ensemble
  14964. 2022-01-26 13:59:39,683:WARNING:Couldn't import catboost.CatBoostClassifier
  14965. 2022-01-26 13:59:39,684:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  14966. 2022-01-26 13:59:39,715:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  14967. 2022-01-26 13:59:39,716:WARNING:Couldn't import cuml.MBSGDClassifier
  14968. 2022-01-26 13:59:39,717:WARNING:Couldn't import cuml.svm.SVC
  14969. 2022-01-26 13:59:39,730:WARNING:Couldn't import cuml.linear_model
  14970. 2022-01-26 13:59:39,734:WARNING:Couldn't import cuml.ensemble
  14971. 2022-01-26 13:59:39,740:WARNING:Couldn't import catboost.CatBoostClassifier
  14972. 2022-01-26 13:59:39,741:INFO:Creating grid variables
  14973. 2022-01-26 13:59:39,752:INFO:create_model_container: 0
  14974. 2022-01-26 13:59:39,752:INFO:master_model_container: 0
  14975. 2022-01-26 13:59:39,753:INFO:display_container: 1
  14976. 2022-01-26 13:59:39,756:INFO:Pipeline(memory=None,
  14977. steps=[('dtypes',
  14978. DataTypes_Auto_infer(categorical_features=[],
  14979. display_types=True, features_todrop=[],
  14980. id_columns=[],
  14981. ml_usecase='classification',
  14982. numerical_features=[], target='label',
  14983. time_features=[])),
  14984. ('imputer',
  14985. Simple_Imputer(categorical_strategy='not_available',
  14986. fill_value_categorical=None,
  14987. fill_value_numerical=None,
  14988. numeric_strate...
  14989. target='label')),
  14990. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  14991. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  14992. ('dummy', Dummify(target='label')),
  14993. ('fix_perfect', Remove_100(target='label')),
  14994. ('clean_names', Clean_Colum_Names()),
  14995. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  14996. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  14997. verbose=False)
  14998. 2022-01-26 13:59:39,756:INFO:setup() succesfully completed......................................
  14999. 2022-01-26 13:59:44,429:INFO:Initializing create_model()
  15000. 2022-01-26 13:59:44,429:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15001. 2022-01-26 13:59:44,430:INFO:Checking exceptions
  15002. 2022-01-26 13:59:44,430:INFO:Preparing display monitor
  15003. 2022-01-26 13:59:44,443:INFO:Importing libraries
  15004. 2022-01-26 13:59:44,443:INFO:Copying training dataset
  15005. 2022-01-26 13:59:44,444:INFO:Defining folds
  15006. 2022-01-26 13:59:44,444:INFO:Declaring metric variables
  15007. 2022-01-26 13:59:44,449:INFO:Importing untrained model
  15008. 2022-01-26 13:59:44,455:INFO:Extreme Gradient Boosting Imported succesfully
  15009. 2022-01-26 13:59:44,466:INFO:Starting cross validation
  15010. 2022-01-26 13:59:44,467:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  15011. 2022-01-26 13:59:45,233:INFO:Calculating mean and std
  15012. 2022-01-26 13:59:45,234:INFO:Creating metrics dataframe
  15013. 2022-01-26 13:59:45,243:INFO:Finalizing model
  15014. 2022-01-27 14:24:49,942:INFO:PyCaret Supervised Module
  15015. 2022-01-27 14:24:49,943:INFO:ML Usecase: classification
  15016. 2022-01-27 14:24:49,943:INFO:version 2.3.6
  15017. 2022-01-27 14:24:49,943:INFO:Initializing setup()
  15018. 2022-01-27 14:24:49,943:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  15019. 2022-01-27 14:24:49,943:INFO:Checking environment
  15020. 2022-01-27 14:24:49,944:INFO:python_version: 3.8.8
  15021. 2022-01-27 14:24:49,944:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  15022. 2022-01-27 14:24:49,944:INFO:machine: x86_64
  15023. 2022-01-27 14:24:49,944:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  15024. 2022-01-27 14:24:49,944:INFO:Memory: svmem(total=33619935232, available=27685486592, percent=17.7, used=5078106112, free=12635148288, active=4253626368, inactive=15667404800, buffers=1051262976, cached=14855417856, shared=383660032, slab=707215360)
  15025. 2022-01-27 14:24:49,945:INFO:Physical Core: 16
  15026. 2022-01-27 14:24:49,946:INFO:Logical Core: 32
  15027. 2022-01-27 14:24:49,946:INFO:Checking libraries
  15028. 2022-01-27 14:24:49,946:INFO:pd==1.2.4
  15029. 2022-01-27 14:24:49,946:INFO:numpy==1.19.5
  15030. 2022-01-27 14:24:49,946:INFO:sklearn==0.23.2
  15031. 2022-01-27 14:24:49,947:INFO:lightgbm==3.3.2
  15032. 2022-01-27 14:24:49,947:WARNING:catboost not found
  15033. 2022-01-27 14:24:49,963:INFO:xgboost==1.5.2
  15034. 2022-01-27 14:24:50,101:INFO:mlflow==1.22.0
  15035. 2022-01-27 14:24:50,102:INFO:Checking Exceptions
  15036. 2022-01-27 14:24:50,102:INFO:Declaring global variables
  15037. 2022-01-27 14:24:50,102:INFO:USI: 2cd4
  15038. 2022-01-27 14:24:50,103:INFO:pycaret_globals: {'create_model_container', 'X_train', 'y_test', 'target_param', '_all_models', 'stratify_param', 'fold_shuffle_param', 'fix_imbalance_param', '_internal_pipeline', '_ml_usecase', '_all_metrics', 'pycaret_globals', 'fix_imbalance_method_param', 'y_train', 'gpu_param', 'transform_target_method_param', 'experiment__', 'data_before_preprocess', 'n_jobs_param', 'fold_groups_param_full', 'y', 'exp_name_log', 'iterative_imputation_iters_param', 'fold_param', 'seed', 'log_plots_param', '_available_plots', 'fold_generator', '_all_models_internal', 'display_container', 'imputation_regressor', 'USI', 'X', 'X_test', 'master_model_container', '_gpu_n_jobs_param', 'imputation_classifier', 'fold_groups_param', 'prep_pipe', 'transform_target_param', 'html_param', 'logging_param'}
  15039. 2022-01-27 14:24:50,103:INFO:Preparing display monitor
  15040. 2022-01-27 14:24:50,103:INFO:Preparing display monitor
  15041. 2022-01-27 14:24:50,115:INFO:Importing libraries
  15042. 2022-01-27 14:24:50,115:INFO:Copying data for preprocessing
  15043. 2022-01-27 14:24:50,124:INFO:Declaring preprocessing parameters
  15044. 2022-01-27 14:24:50,124:WARNING:cuML not found
  15045. 2022-01-27 14:24:50,125:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  15046. 2022-01-27 14:24:50,131:INFO:Creating preprocessing pipeline
  15047. 2022-01-27 14:24:50,183:INFO:Preprocessing pipeline created successfully
  15048. 2022-01-27 14:24:50,183:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  15049. 2022-01-27 14:24:50,183:INFO:Creating global containers
  15050. 2022-01-27 14:24:50,184:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  15051. 2022-01-27 14:24:52,473:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15052. 2022-01-27 14:24:52,503:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15053. 2022-01-27 14:24:52,504:WARNING:Couldn't import cuml.MBSGDClassifier
  15054. 2022-01-27 14:24:52,505:WARNING:Couldn't import cuml.svm.SVC
  15055. 2022-01-27 14:24:52,521:WARNING:Couldn't import cuml.linear_model
  15056. 2022-01-27 14:24:52,524:WARNING:Couldn't import cuml.ensemble
  15057. 2022-01-27 14:24:52,534:WARNING:Couldn't import catboost.CatBoostClassifier
  15058. 2022-01-27 14:24:52,535:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15059. 2022-01-27 14:24:52,563:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15060. 2022-01-27 14:24:52,564:WARNING:Couldn't import cuml.MBSGDClassifier
  15061. 2022-01-27 14:24:52,565:WARNING:Couldn't import cuml.svm.SVC
  15062. 2022-01-27 14:24:52,579:WARNING:Couldn't import cuml.linear_model
  15063. 2022-01-27 14:24:52,583:WARNING:Couldn't import cuml.ensemble
  15064. 2022-01-27 14:24:52,591:WARNING:Couldn't import catboost.CatBoostClassifier
  15065. 2022-01-27 14:24:52,592:INFO:Creating grid variables
  15066. 2022-01-27 14:24:52,604:INFO:create_model_container: 0
  15067. 2022-01-27 14:24:52,604:INFO:master_model_container: 0
  15068. 2022-01-27 14:24:52,604:INFO:display_container: 1
  15069. 2022-01-27 14:24:52,607:INFO:Pipeline(memory=None,
  15070. steps=[('dtypes',
  15071. DataTypes_Auto_infer(categorical_features=[],
  15072. display_types=True, features_todrop=[],
  15073. id_columns=[],
  15074. ml_usecase='classification',
  15075. numerical_features=[], target='label',
  15076. time_features=[])),
  15077. ('imputer',
  15078. Simple_Imputer(categorical_strategy='not_available',
  15079. fill_value_categorical=None,
  15080. fill_value_numerical=None,
  15081. numeric_strate...
  15082. target='label')),
  15083. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  15084. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  15085. ('dummy', Dummify(target='label')),
  15086. ('fix_perfect', Remove_100(target='label')),
  15087. ('clean_names', Clean_Colum_Names()),
  15088. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  15089. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  15090. verbose=False)
  15091. 2022-01-27 14:24:52,607:INFO:setup() succesfully completed......................................
  15092. 2022-01-27 14:25:10,781:INFO:Initializing create_model()
  15093. 2022-01-27 14:25:10,781:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15094. 2022-01-27 14:25:10,781:INFO:Checking exceptions
  15095. 2022-01-27 14:25:10,781:INFO:Preparing display monitor
  15096. 2022-01-27 14:25:10,793:INFO:Importing libraries
  15097. 2022-01-27 14:25:10,793:INFO:Copying training dataset
  15098. 2022-01-27 14:25:10,795:INFO:Defining folds
  15099. 2022-01-27 14:25:10,795:INFO:Declaring metric variables
  15100. 2022-01-27 14:25:10,800:INFO:Importing untrained model
  15101. 2022-01-27 14:25:10,805:INFO:Extreme Gradient Boosting Imported succesfully
  15102. 2022-01-27 14:25:10,818:INFO:Starting cross validation
  15103. 2022-01-27 14:25:10,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  15104. 2022-01-27 14:25:11,981:INFO:Calculating mean and std
  15105. 2022-01-27 14:25:11,982:INFO:Creating metrics dataframe
  15106. 2022-01-27 14:25:11,991:INFO:Finalizing model
  15107. 2022-01-27 14:36:04,746:INFO:PyCaret Supervised Module
  15108. 2022-01-27 14:36:04,747:INFO:ML Usecase: classification
  15109. 2022-01-27 14:36:04,747:INFO:version 2.3.6
  15110. 2022-01-27 14:36:04,747:INFO:Initializing setup()
  15111. 2022-01-27 14:36:04,747:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  15112. 2022-01-27 14:36:04,747:INFO:Checking environment
  15113. 2022-01-27 14:36:04,748:INFO:python_version: 3.8.8
  15114. 2022-01-27 14:36:04,748:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  15115. 2022-01-27 14:36:04,748:INFO:machine: x86_64
  15116. 2022-01-27 14:36:04,748:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  15117. 2022-01-27 14:36:04,748:INFO:Memory: svmem(total=33619935232, available=30556065792, percent=9.1, used=2268020736, free=29196001280, active=406462464, inactive=3548401664, buffers=207183872, cached=1948729344, shared=383369216, slab=188399616)
  15118. 2022-01-27 14:36:04,749:INFO:Physical Core: 16
  15119. 2022-01-27 14:36:04,749:INFO:Logical Core: 32
  15120. 2022-01-27 14:36:04,750:INFO:Checking libraries
  15121. 2022-01-27 14:36:04,750:INFO:pd==1.2.4
  15122. 2022-01-27 14:36:04,750:INFO:numpy==1.19.5
  15123. 2022-01-27 14:36:04,750:INFO:sklearn==0.23.2
  15124. 2022-01-27 14:36:04,750:INFO:lightgbm==3.3.2
  15125. 2022-01-27 14:36:04,751:WARNING:catboost not found
  15126. 2022-01-27 14:36:04,810:INFO:xgboost==1.5.2
  15127. 2022-01-27 14:36:05,045:INFO:mlflow==1.22.0
  15128. 2022-01-27 14:36:05,046:INFO:Checking Exceptions
  15129. 2022-01-27 14:36:05,047:INFO:Declaring global variables
  15130. 2022-01-27 14:36:05,047:INFO:USI: d7ed
  15131. 2022-01-27 14:36:05,047:INFO:pycaret_globals: {'iterative_imputation_iters_param', 'experiment__', 'target_param', '_internal_pipeline', 'gpu_param', '_gpu_n_jobs_param', 'fold_groups_param', 'n_jobs_param', 'USI', '_all_models_internal', 'y_test', '_all_metrics', 'display_container', 'transform_target_param', 'data_before_preprocess', 'fold_param', 'X_test', 'create_model_container', 'log_plots_param', 'transform_target_method_param', 'master_model_container', 'pycaret_globals', 'X', '_available_plots', 'fold_generator', 'html_param', '_ml_usecase', 'fix_imbalance_method_param', 'fold_groups_param_full', 'seed', 'y', 'fix_imbalance_param', 'imputation_regressor', 'stratify_param', 'y_train', 'prep_pipe', 'logging_param', 'X_train', 'imputation_classifier', '_all_models', 'fold_shuffle_param', 'exp_name_log'}
  15132. 2022-01-27 14:36:05,048:INFO:Preparing display monitor
  15133. 2022-01-27 14:36:05,048:INFO:Preparing display monitor
  15134. 2022-01-27 14:36:05,062:INFO:Importing libraries
  15135. 2022-01-27 14:36:05,062:INFO:Copying data for preprocessing
  15136. 2022-01-27 14:36:05,068:INFO:Declaring preprocessing parameters
  15137. 2022-01-27 14:36:05,068:WARNING:cuML not found
  15138. 2022-01-27 14:36:05,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  15139. 2022-01-27 14:36:05,074:INFO:Creating preprocessing pipeline
  15140. 2022-01-27 14:36:05,120:INFO:Preprocessing pipeline created successfully
  15141. 2022-01-27 14:36:05,121:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  15142. 2022-01-27 14:36:05,121:INFO:Creating global containers
  15143. 2022-01-27 14:36:05,122:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  15144. 2022-01-27 14:36:06,433:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15145. 2022-01-27 14:36:06,461:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15146. 2022-01-27 14:36:06,463:WARNING:Couldn't import cuml.MBSGDClassifier
  15147. 2022-01-27 14:36:06,464:WARNING:Couldn't import cuml.svm.SVC
  15148. 2022-01-27 14:36:06,482:WARNING:Couldn't import cuml.linear_model
  15149. 2022-01-27 14:36:06,485:WARNING:Couldn't import cuml.ensemble
  15150. 2022-01-27 14:36:06,518:WARNING:Couldn't import catboost.CatBoostClassifier
  15151. 2022-01-27 14:36:06,519:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15152. 2022-01-27 14:36:06,548:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15153. 2022-01-27 14:36:06,549:WARNING:Couldn't import cuml.MBSGDClassifier
  15154. 2022-01-27 14:36:06,550:WARNING:Couldn't import cuml.svm.SVC
  15155. 2022-01-27 14:36:06,563:WARNING:Couldn't import cuml.linear_model
  15156. 2022-01-27 14:36:06,566:WARNING:Couldn't import cuml.ensemble
  15157. 2022-01-27 14:36:06,574:WARNING:Couldn't import catboost.CatBoostClassifier
  15158. 2022-01-27 14:36:06,575:INFO:Creating grid variables
  15159. 2022-01-27 14:36:06,586:INFO:create_model_container: 0
  15160. 2022-01-27 14:36:06,587:INFO:master_model_container: 0
  15161. 2022-01-27 14:36:06,587:INFO:display_container: 1
  15162. 2022-01-27 14:36:06,590:INFO:Pipeline(memory=None,
  15163. steps=[('dtypes',
  15164. DataTypes_Auto_infer(categorical_features=[],
  15165. display_types=True, features_todrop=[],
  15166. id_columns=[],
  15167. ml_usecase='classification',
  15168. numerical_features=[], target='label',
  15169. time_features=[])),
  15170. ('imputer',
  15171. Simple_Imputer(categorical_strategy='not_available',
  15172. fill_value_categorical=None,
  15173. fill_value_numerical=None,
  15174. numeric_strate...
  15175. target='label')),
  15176. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  15177. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  15178. ('dummy', Dummify(target='label')),
  15179. ('fix_perfect', Remove_100(target='label')),
  15180. ('clean_names', Clean_Colum_Names()),
  15181. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  15182. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  15183. verbose=False)
  15184. 2022-01-27 14:36:06,590:INFO:setup() succesfully completed......................................
  15185. 2022-01-27 14:36:12,465:INFO:Initializing create_model()
  15186. 2022-01-27 14:36:12,465:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15187. 2022-01-27 14:36:12,466:INFO:Checking exceptions
  15188. 2022-01-27 14:36:12,466:INFO:Preparing display monitor
  15189. 2022-01-27 14:36:12,478:INFO:Importing libraries
  15190. 2022-01-27 14:36:12,478:INFO:Copying training dataset
  15191. 2022-01-27 14:36:12,479:INFO:Defining folds
  15192. 2022-01-27 14:36:12,479:INFO:Declaring metric variables
  15193. 2022-01-27 14:36:12,484:INFO:Importing untrained model
  15194. 2022-01-27 14:36:12,489:INFO:Extreme Gradient Boosting Imported succesfully
  15195. 2022-01-27 14:36:12,500:INFO:Starting cross validation
  15196. 2022-01-27 14:36:12,501:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  15197. 2022-01-27 14:36:14,284:INFO:Calculating mean and std
  15198. 2022-01-27 14:36:14,285:INFO:Creating metrics dataframe
  15199. 2022-01-27 14:36:14,294:INFO:Finalizing model
  15200. 2022-01-27 15:30:49,472:INFO:PyCaret Supervised Module
  15201. 2022-01-27 15:30:49,472:INFO:ML Usecase: classification
  15202. 2022-01-27 15:30:49,473:INFO:version 2.3.6
  15203. 2022-01-27 15:30:49,473:INFO:Initializing setup()
  15204. 2022-01-27 15:30:49,473:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  15205. 2022-01-27 15:30:49,473:INFO:Checking environment
  15206. 2022-01-27 15:30:49,473:INFO:python_version: 3.8.8
  15207. 2022-01-27 15:30:49,474:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  15208. 2022-01-27 15:30:49,474:INFO:machine: x86_64
  15209. 2022-01-27 15:30:49,474:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  15210. 2022-01-27 15:30:49,474:INFO:Memory: svmem(total=33619935232, available=29805764608, percent=11.3, used=2955124736, free=28171640832, active=567001088, inactive=4398546944, buffers=210321408, cached=2282848256, shared=444846080, slab=195813376)
  15211. 2022-01-27 15:30:49,475:INFO:Physical Core: 16
  15212. 2022-01-27 15:30:49,475:INFO:Logical Core: 32
  15213. 2022-01-27 15:30:49,475:INFO:Checking libraries
  15214. 2022-01-27 15:30:49,475:INFO:pd==1.2.4
  15215. 2022-01-27 15:30:49,476:INFO:numpy==1.19.5
  15216. 2022-01-27 15:30:49,476:INFO:sklearn==0.23.2
  15217. 2022-01-27 15:30:49,476:INFO:lightgbm==3.3.2
  15218. 2022-01-27 15:30:49,477:WARNING:catboost not found
  15219. 2022-01-27 15:30:49,486:INFO:xgboost==1.5.2
  15220. 2022-01-27 15:30:49,609:INFO:mlflow==1.22.0
  15221. 2022-01-27 15:30:49,610:INFO:Checking Exceptions
  15222. 2022-01-27 15:30:49,610:INFO:Declaring global variables
  15223. 2022-01-27 15:30:49,610:INFO:USI: 915f
  15224. 2022-01-27 15:30:49,610:INFO:pycaret_globals: {'display_container', '_all_models', 'seed', 'fold_param', '_internal_pipeline', 'imputation_regressor', 'fix_imbalance_param', '_available_plots', 'master_model_container', 'exp_name_log', 'transform_target_method_param', 'X_train', 'fold_groups_param', 'y_test', 'experiment__', 'y', 'transform_target_param', 'y_train', 'html_param', 'fold_generator', '_all_models_internal', 'USI', 'data_before_preprocess', '_gpu_n_jobs_param', 'target_param', 'stratify_param', 'fold_groups_param_full', 'create_model_container', 'X', 'fix_imbalance_method_param', '_all_metrics', 'gpu_param', 'X_test', 'imputation_classifier', 'log_plots_param', 'iterative_imputation_iters_param', 'pycaret_globals', 'n_jobs_param', '_ml_usecase', 'prep_pipe', 'logging_param', 'fold_shuffle_param'}
  15225. 2022-01-27 15:30:49,610:INFO:Preparing display monitor
  15226. 2022-01-27 15:30:49,611:INFO:Preparing display monitor
  15227. 2022-01-27 15:30:49,620:INFO:Importing libraries
  15228. 2022-01-27 15:30:49,620:INFO:Copying data for preprocessing
  15229. 2022-01-27 15:30:49,626:INFO:Declaring preprocessing parameters
  15230. 2022-01-27 15:30:49,629:INFO:Creating preprocessing pipeline
  15231. 2022-01-27 15:30:49,677:INFO:Preprocessing pipeline created successfully
  15232. 2022-01-27 15:30:49,677:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  15233. 2022-01-27 15:30:49,677:INFO:Creating global containers
  15234. 2022-01-27 15:30:49,678:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  15235. 2022-01-27 15:31:02,084:WARNING:Couldn't import catboost.CatBoostClassifier
  15236. 2022-01-27 15:31:02,130:WARNING:Couldn't import catboost.CatBoostClassifier
  15237. 2022-01-27 15:31:02,130:INFO:Creating grid variables
  15238. 2022-01-27 15:31:02,140:INFO:create_model_container: 0
  15239. 2022-01-27 15:31:02,140:INFO:master_model_container: 0
  15240. 2022-01-27 15:31:02,140:INFO:display_container: 1
  15241. 2022-01-27 15:31:02,143:INFO:Pipeline(memory=None,
  15242. steps=[('dtypes',
  15243. DataTypes_Auto_infer(categorical_features=[],
  15244. display_types=True, features_todrop=[],
  15245. id_columns=[],
  15246. ml_usecase='classification',
  15247. numerical_features=[], target='label',
  15248. time_features=[])),
  15249. ('imputer',
  15250. Simple_Imputer(categorical_strategy='not_available',
  15251. fill_value_categorical=None,
  15252. fill_value_numerical=None,
  15253. numeric_strate...
  15254. target='label')),
  15255. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  15256. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  15257. ('dummy', Dummify(target='label')),
  15258. ('fix_perfect', Remove_100(target='label')),
  15259. ('clean_names', Clean_Colum_Names()),
  15260. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  15261. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  15262. verbose=False)
  15263. 2022-01-27 15:31:02,143:INFO:setup() succesfully completed......................................
  15264. 2022-01-27 15:31:02,291:INFO:Initializing create_model()
  15265. 2022-01-27 15:31:02,291:INFO:create_model(estimator=rf, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15266. 2022-01-27 15:31:02,292:INFO:Checking exceptions
  15267. 2022-01-27 15:31:02,292:INFO:Preparing display monitor
  15268. 2022-01-27 15:31:02,304:INFO:Importing libraries
  15269. 2022-01-27 15:31:02,304:INFO:Copying training dataset
  15270. 2022-01-27 15:31:02,305:INFO:Defining folds
  15271. 2022-01-27 15:31:02,305:INFO:Declaring metric variables
  15272. 2022-01-27 15:31:02,310:INFO:Importing untrained model
  15273. 2022-01-27 15:31:02,316:INFO:Random Forest Classifier Imported succesfully
  15274. 2022-01-27 15:31:02,327:INFO:Starting cross validation
  15275. 2022-01-27 15:31:02,328:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15276. 2022-01-27 15:31:05,582:INFO:Calculating mean and std
  15277. 2022-01-27 15:31:05,583:INFO:Creating metrics dataframe
  15278. 2022-01-27 15:31:05,591:INFO:Finalizing model
  15279. 2022-01-27 15:31:05,956:INFO:Uploading results into container
  15280. 2022-01-27 15:31:05,957:INFO:Uploading model into container now
  15281. 2022-01-27 15:31:05,968:INFO:create_model_container: 1
  15282. 2022-01-27 15:31:05,968:INFO:master_model_container: 1
  15283. 2022-01-27 15:31:05,968:INFO:display_container: 2
  15284. 2022-01-27 15:31:05,968:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15285. criterion='gini', max_depth=None, max_features='auto',
  15286. max_leaf_nodes=None, max_samples=None,
  15287. min_impurity_decrease=0.0, min_impurity_split=None,
  15288. min_samples_leaf=1, min_samples_split=2,
  15289. min_weight_fraction_leaf=0.0, n_estimators=100,
  15290. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15291. warm_start=False)
  15292. 2022-01-27 15:31:05,969:INFO:create_model() succesfully completed......................................
  15293. 2022-01-27 15:35:28,474:INFO:Initializing compare_models()
  15294. 2022-01-27 15:35:28,475:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  15295. 2022-01-27 15:35:28,475:INFO:Checking exceptions
  15296. 2022-01-27 15:35:28,476:INFO:Preparing display monitor
  15297. 2022-01-27 15:35:28,476:INFO:Preparing display monitor
  15298. 2022-01-27 15:35:28,492:INFO:Initializing Logistic Regression
  15299. 2022-01-27 15:35:28,493:INFO:Total runtime is 5.0067901611328125e-06 minutes
  15300. 2022-01-27 15:35:28,498:INFO:SubProcess create_model() called ==================================
  15301. 2022-01-27 15:35:28,498:INFO:Initializing create_model()
  15302. 2022-01-27 15:35:28,499:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15303. 2022-01-27 15:35:28,499:INFO:Checking exceptions
  15304. 2022-01-27 15:35:28,499:INFO:Importing libraries
  15305. 2022-01-27 15:35:28,499:INFO:Copying training dataset
  15306. 2022-01-27 15:35:28,501:INFO:Defining folds
  15307. 2022-01-27 15:35:28,501:INFO:Declaring metric variables
  15308. 2022-01-27 15:35:28,507:INFO:Importing untrained model
  15309. 2022-01-27 15:35:28,512:INFO:Logistic Regression Imported succesfully
  15310. 2022-01-27 15:35:28,522:INFO:Starting cross validation
  15311. 2022-01-27 15:35:28,523:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15312. 2022-01-27 15:35:29,907:INFO:Calculating mean and std
  15313. 2022-01-27 15:35:29,908:INFO:Creating metrics dataframe
  15314. 2022-01-27 15:35:29,911:INFO:Uploading results into container
  15315. 2022-01-27 15:35:29,911:INFO:Uploading model into container now
  15316. 2022-01-27 15:35:29,911:INFO:create_model_container: 2
  15317. 2022-01-27 15:35:29,912:INFO:master_model_container: 2
  15318. 2022-01-27 15:35:29,912:INFO:display_container: 3
  15319. 2022-01-27 15:35:29,912:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  15320. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  15321. multi_class='auto', n_jobs=None, penalty='l2',
  15322. random_state=8782, solver='lbfgs', tol=0.0001, verbose=0,
  15323. warm_start=False)
  15324. 2022-01-27 15:35:29,912:INFO:create_model() succesfully completed......................................
  15325. 2022-01-27 15:35:29,989:INFO:SubProcess create_model() end ==================================
  15326. 2022-01-27 15:35:29,990:INFO:Creating metrics dataframe
  15327. 2022-01-27 15:35:30,000:INFO:Initializing K Neighbors Classifier
  15328. 2022-01-27 15:35:30,000:INFO:Total runtime is 0.025128372510274253 minutes
  15329. 2022-01-27 15:35:30,006:INFO:SubProcess create_model() called ==================================
  15330. 2022-01-27 15:35:30,006:INFO:Initializing create_model()
  15331. 2022-01-27 15:35:30,006:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15332. 2022-01-27 15:35:30,006:INFO:Checking exceptions
  15333. 2022-01-27 15:35:30,007:INFO:Importing libraries
  15334. 2022-01-27 15:35:30,007:INFO:Copying training dataset
  15335. 2022-01-27 15:35:30,008:INFO:Defining folds
  15336. 2022-01-27 15:35:30,008:INFO:Declaring metric variables
  15337. 2022-01-27 15:35:30,013:INFO:Importing untrained model
  15338. 2022-01-27 15:35:30,018:INFO:K Neighbors Classifier Imported succesfully
  15339. 2022-01-27 15:35:30,027:INFO:Starting cross validation
  15340. 2022-01-27 15:35:30,028:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15341. 2022-01-27 15:35:36,622:INFO:Calculating mean and std
  15342. 2022-01-27 15:35:36,623:INFO:Creating metrics dataframe
  15343. 2022-01-27 15:35:36,626:INFO:Uploading results into container
  15344. 2022-01-27 15:35:36,626:INFO:Uploading model into container now
  15345. 2022-01-27 15:35:36,626:INFO:create_model_container: 3
  15346. 2022-01-27 15:35:36,626:INFO:master_model_container: 3
  15347. 2022-01-27 15:35:36,626:INFO:display_container: 3
  15348. 2022-01-27 15:35:36,627:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  15349. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  15350. weights='uniform')
  15351. 2022-01-27 15:35:36,627:INFO:create_model() succesfully completed......................................
  15352. 2022-01-27 15:35:36,697:INFO:SubProcess create_model() end ==================================
  15353. 2022-01-27 15:35:36,697:INFO:Creating metrics dataframe
  15354. 2022-01-27 15:35:36,707:INFO:Initializing Naive Bayes
  15355. 2022-01-27 15:35:36,707:INFO:Total runtime is 0.13691695928573608 minutes
  15356. 2022-01-27 15:35:36,713:INFO:SubProcess create_model() called ==================================
  15357. 2022-01-27 15:35:36,713:INFO:Initializing create_model()
  15358. 2022-01-27 15:35:36,713:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15359. 2022-01-27 15:35:36,714:INFO:Checking exceptions
  15360. 2022-01-27 15:35:36,714:INFO:Importing libraries
  15361. 2022-01-27 15:35:36,714:INFO:Copying training dataset
  15362. 2022-01-27 15:35:36,715:INFO:Defining folds
  15363. 2022-01-27 15:35:36,715:INFO:Declaring metric variables
  15364. 2022-01-27 15:35:36,720:INFO:Importing untrained model
  15365. 2022-01-27 15:35:36,725:INFO:Naive Bayes Imported succesfully
  15366. 2022-01-27 15:35:36,736:INFO:Starting cross validation
  15367. 2022-01-27 15:35:36,736:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15368. 2022-01-27 15:35:37,538:INFO:Calculating mean and std
  15369. 2022-01-27 15:35:37,539:INFO:Creating metrics dataframe
  15370. 2022-01-27 15:35:37,541:INFO:Uploading results into container
  15371. 2022-01-27 15:35:37,542:INFO:Uploading model into container now
  15372. 2022-01-27 15:35:37,542:INFO:create_model_container: 4
  15373. 2022-01-27 15:35:37,542:INFO:master_model_container: 4
  15374. 2022-01-27 15:35:37,542:INFO:display_container: 3
  15375. 2022-01-27 15:35:37,542:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  15376. 2022-01-27 15:35:37,542:INFO:create_model() succesfully completed......................................
  15377. 2022-01-27 15:35:37,612:INFO:SubProcess create_model() end ==================================
  15378. 2022-01-27 15:35:37,613:INFO:Creating metrics dataframe
  15379. 2022-01-27 15:35:37,623:INFO:Initializing Decision Tree Classifier
  15380. 2022-01-27 15:35:37,623:INFO:Total runtime is 0.15218078692754108 minutes
  15381. 2022-01-27 15:35:37,629:INFO:SubProcess create_model() called ==================================
  15382. 2022-01-27 15:35:37,629:INFO:Initializing create_model()
  15383. 2022-01-27 15:35:37,629:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15384. 2022-01-27 15:35:37,629:INFO:Checking exceptions
  15385. 2022-01-27 15:35:37,630:INFO:Importing libraries
  15386. 2022-01-27 15:35:37,630:INFO:Copying training dataset
  15387. 2022-01-27 15:35:37,631:INFO:Defining folds
  15388. 2022-01-27 15:35:37,631:INFO:Declaring metric variables
  15389. 2022-01-27 15:35:37,636:INFO:Importing untrained model
  15390. 2022-01-27 15:35:37,641:INFO:Decision Tree Classifier Imported succesfully
  15391. 2022-01-27 15:35:37,652:INFO:Starting cross validation
  15392. 2022-01-27 15:35:37,652:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15393. 2022-01-27 15:35:37,909:INFO:Calculating mean and std
  15394. 2022-01-27 15:35:37,910:INFO:Creating metrics dataframe
  15395. 2022-01-27 15:35:37,913:INFO:Uploading results into container
  15396. 2022-01-27 15:35:37,913:INFO:Uploading model into container now
  15397. 2022-01-27 15:35:37,913:INFO:create_model_container: 5
  15398. 2022-01-27 15:35:37,913:INFO:master_model_container: 5
  15399. 2022-01-27 15:35:37,913:INFO:display_container: 3
  15400. 2022-01-27 15:35:37,914:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  15401. max_depth=None, max_features=None, max_leaf_nodes=None,
  15402. min_impurity_decrease=0.0, min_impurity_split=None,
  15403. min_samples_leaf=1, min_samples_split=2,
  15404. min_weight_fraction_leaf=0.0, presort='deprecated',
  15405. random_state=8782, splitter='best')
  15406. 2022-01-27 15:35:37,914:INFO:create_model() succesfully completed......................................
  15407. 2022-01-27 15:35:37,983:INFO:SubProcess create_model() end ==================================
  15408. 2022-01-27 15:35:37,984:INFO:Creating metrics dataframe
  15409. 2022-01-27 15:35:37,994:INFO:Initializing SVM - Linear Kernel
  15410. 2022-01-27 15:35:37,995:INFO:Total runtime is 0.15836788018544515 minutes
  15411. 2022-01-27 15:35:38,000:INFO:SubProcess create_model() called ==================================
  15412. 2022-01-27 15:35:38,000:INFO:Initializing create_model()
  15413. 2022-01-27 15:35:38,000:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15414. 2022-01-27 15:35:38,000:INFO:Checking exceptions
  15415. 2022-01-27 15:35:38,001:INFO:Importing libraries
  15416. 2022-01-27 15:35:38,001:INFO:Copying training dataset
  15417. 2022-01-27 15:35:38,002:INFO:Defining folds
  15418. 2022-01-27 15:35:38,002:INFO:Declaring metric variables
  15419. 2022-01-27 15:35:38,006:INFO:Importing untrained model
  15420. 2022-01-27 15:35:38,011:INFO:SVM - Linear Kernel Imported succesfully
  15421. 2022-01-27 15:35:38,021:INFO:Starting cross validation
  15422. 2022-01-27 15:35:38,022:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15423. 2022-01-27 15:35:38,345:INFO:Calculating mean and std
  15424. 2022-01-27 15:35:38,346:INFO:Creating metrics dataframe
  15425. 2022-01-27 15:35:38,348:INFO:Uploading results into container
  15426. 2022-01-27 15:35:38,348:INFO:Uploading model into container now
  15427. 2022-01-27 15:35:38,349:INFO:create_model_container: 6
  15428. 2022-01-27 15:35:38,349:INFO:master_model_container: 6
  15429. 2022-01-27 15:35:38,349:INFO:display_container: 3
  15430. 2022-01-27 15:35:38,349:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  15431. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  15432. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  15433. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  15434. power_t=0.5, random_state=8782, shuffle=True, tol=0.001,
  15435. validation_fraction=0.1, verbose=0, warm_start=False)
  15436. 2022-01-27 15:35:38,349:INFO:create_model() succesfully completed......................................
  15437. 2022-01-27 15:35:38,420:INFO:SubProcess create_model() end ==================================
  15438. 2022-01-27 15:35:38,420:INFO:Creating metrics dataframe
  15439. 2022-01-27 15:35:38,432:INFO:Initializing Ridge Classifier
  15440. 2022-01-27 15:35:38,432:INFO:Total runtime is 0.16565462350845336 minutes
  15441. 2022-01-27 15:35:38,437:INFO:SubProcess create_model() called ==================================
  15442. 2022-01-27 15:35:38,437:INFO:Initializing create_model()
  15443. 2022-01-27 15:35:38,437:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15444. 2022-01-27 15:35:38,438:INFO:Checking exceptions
  15445. 2022-01-27 15:35:38,438:INFO:Importing libraries
  15446. 2022-01-27 15:35:38,438:INFO:Copying training dataset
  15447. 2022-01-27 15:35:38,439:INFO:Defining folds
  15448. 2022-01-27 15:35:38,439:INFO:Declaring metric variables
  15449. 2022-01-27 15:35:38,444:INFO:Importing untrained model
  15450. 2022-01-27 15:35:38,449:INFO:Ridge Classifier Imported succesfully
  15451. 2022-01-27 15:35:38,458:INFO:Starting cross validation
  15452. 2022-01-27 15:35:38,458:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15453. 2022-01-27 15:35:38,614:INFO:Calculating mean and std
  15454. 2022-01-27 15:35:38,615:INFO:Creating metrics dataframe
  15455. 2022-01-27 15:35:38,617:INFO:Uploading results into container
  15456. 2022-01-27 15:35:38,618:INFO:Uploading model into container now
  15457. 2022-01-27 15:35:38,618:INFO:create_model_container: 7
  15458. 2022-01-27 15:35:38,618:INFO:master_model_container: 7
  15459. 2022-01-27 15:35:38,618:INFO:display_container: 3
  15460. 2022-01-27 15:35:38,618:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  15461. max_iter=None, normalize=False, random_state=8782,
  15462. solver='auto', tol=0.001)
  15463. 2022-01-27 15:35:38,619:INFO:create_model() succesfully completed......................................
  15464. 2022-01-27 15:35:38,689:INFO:SubProcess create_model() end ==================================
  15465. 2022-01-27 15:35:38,689:INFO:Creating metrics dataframe
  15466. 2022-01-27 15:35:38,700:INFO:Initializing Random Forest Classifier
  15467. 2022-01-27 15:35:38,700:INFO:Total runtime is 0.17012946605682372 minutes
  15468. 2022-01-27 15:35:38,705:INFO:SubProcess create_model() called ==================================
  15469. 2022-01-27 15:35:38,706:INFO:Initializing create_model()
  15470. 2022-01-27 15:35:38,706:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15471. 2022-01-27 15:35:38,706:INFO:Checking exceptions
  15472. 2022-01-27 15:35:38,706:INFO:Importing libraries
  15473. 2022-01-27 15:35:38,706:INFO:Copying training dataset
  15474. 2022-01-27 15:35:38,707:INFO:Defining folds
  15475. 2022-01-27 15:35:38,707:INFO:Declaring metric variables
  15476. 2022-01-27 15:35:38,712:INFO:Importing untrained model
  15477. 2022-01-27 15:35:38,717:INFO:Random Forest Classifier Imported succesfully
  15478. 2022-01-27 15:35:38,726:INFO:Starting cross validation
  15479. 2022-01-27 15:35:38,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15480. 2022-01-27 15:35:40,748:INFO:Calculating mean and std
  15481. 2022-01-27 15:35:40,749:INFO:Creating metrics dataframe
  15482. 2022-01-27 15:35:40,751:INFO:Uploading results into container
  15483. 2022-01-27 15:35:40,751:INFO:Uploading model into container now
  15484. 2022-01-27 15:35:40,751:INFO:create_model_container: 8
  15485. 2022-01-27 15:35:40,752:INFO:master_model_container: 8
  15486. 2022-01-27 15:35:40,752:INFO:display_container: 3
  15487. 2022-01-27 15:35:40,752:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15488. criterion='gini', max_depth=None, max_features='auto',
  15489. max_leaf_nodes=None, max_samples=None,
  15490. min_impurity_decrease=0.0, min_impurity_split=None,
  15491. min_samples_leaf=1, min_samples_split=2,
  15492. min_weight_fraction_leaf=0.0, n_estimators=100,
  15493. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15494. warm_start=False)
  15495. 2022-01-27 15:35:40,752:INFO:create_model() succesfully completed......................................
  15496. 2022-01-27 15:35:40,817:INFO:SubProcess create_model() end ==================================
  15497. 2022-01-27 15:35:40,818:INFO:Creating metrics dataframe
  15498. 2022-01-27 15:35:40,829:INFO:Initializing Quadratic Discriminant Analysis
  15499. 2022-01-27 15:35:40,829:INFO:Total runtime is 0.20561089118321735 minutes
  15500. 2022-01-27 15:35:40,834:INFO:SubProcess create_model() called ==================================
  15501. 2022-01-27 15:35:40,835:INFO:Initializing create_model()
  15502. 2022-01-27 15:35:40,835:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15503. 2022-01-27 15:35:40,835:INFO:Checking exceptions
  15504. 2022-01-27 15:35:40,835:INFO:Importing libraries
  15505. 2022-01-27 15:35:40,835:INFO:Copying training dataset
  15506. 2022-01-27 15:35:40,836:INFO:Defining folds
  15507. 2022-01-27 15:35:40,836:INFO:Declaring metric variables
  15508. 2022-01-27 15:35:40,841:INFO:Importing untrained model
  15509. 2022-01-27 15:35:40,846:INFO:Quadratic Discriminant Analysis Imported succesfully
  15510. 2022-01-27 15:35:40,856:INFO:Starting cross validation
  15511. 2022-01-27 15:35:40,856:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15512. 2022-01-27 15:35:41,064:INFO:Calculating mean and std
  15513. 2022-01-27 15:35:41,065:INFO:Creating metrics dataframe
  15514. 2022-01-27 15:35:41,068:INFO:Uploading results into container
  15515. 2022-01-27 15:35:41,068:INFO:Uploading model into container now
  15516. 2022-01-27 15:35:41,068:INFO:create_model_container: 9
  15517. 2022-01-27 15:35:41,068:INFO:master_model_container: 9
  15518. 2022-01-27 15:35:41,068:INFO:display_container: 3
  15519. 2022-01-27 15:35:41,069:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  15520. store_covariance=False, tol=0.0001)
  15521. 2022-01-27 15:35:41,069:INFO:create_model() succesfully completed......................................
  15522. 2022-01-27 15:35:41,136:INFO:SubProcess create_model() end ==================================
  15523. 2022-01-27 15:35:41,136:INFO:Creating metrics dataframe
  15524. 2022-01-27 15:35:41,147:INFO:Initializing Ada Boost Classifier
  15525. 2022-01-27 15:35:41,148:INFO:Total runtime is 0.21091970205307006 minutes
  15526. 2022-01-27 15:35:41,153:INFO:SubProcess create_model() called ==================================
  15527. 2022-01-27 15:35:41,153:INFO:Initializing create_model()
  15528. 2022-01-27 15:35:41,153:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15529. 2022-01-27 15:35:41,153:INFO:Checking exceptions
  15530. 2022-01-27 15:35:41,154:INFO:Importing libraries
  15531. 2022-01-27 15:35:41,154:INFO:Copying training dataset
  15532. 2022-01-27 15:35:41,155:INFO:Defining folds
  15533. 2022-01-27 15:35:41,155:INFO:Declaring metric variables
  15534. 2022-01-27 15:35:41,159:INFO:Importing untrained model
  15535. 2022-01-27 15:35:41,164:INFO:Ada Boost Classifier Imported succesfully
  15536. 2022-01-27 15:35:41,174:INFO:Starting cross validation
  15537. 2022-01-27 15:35:41,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15538. 2022-01-27 15:35:42,235:INFO:Calculating mean and std
  15539. 2022-01-27 15:35:42,236:INFO:Creating metrics dataframe
  15540. 2022-01-27 15:35:42,238:INFO:Uploading results into container
  15541. 2022-01-27 15:35:42,239:INFO:Uploading model into container now
  15542. 2022-01-27 15:35:42,239:INFO:create_model_container: 10
  15543. 2022-01-27 15:35:42,239:INFO:master_model_container: 10
  15544. 2022-01-27 15:35:42,239:INFO:display_container: 3
  15545. 2022-01-27 15:35:42,239:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  15546. n_estimators=50, random_state=8782)
  15547. 2022-01-27 15:35:42,240:INFO:create_model() succesfully completed......................................
  15548. 2022-01-27 15:35:42,305:INFO:SubProcess create_model() end ==================================
  15549. 2022-01-27 15:35:42,305:INFO:Creating metrics dataframe
  15550. 2022-01-27 15:35:42,317:INFO:Initializing Gradient Boosting Classifier
  15551. 2022-01-27 15:35:42,317:INFO:Total runtime is 0.23041016658147176 minutes
  15552. 2022-01-27 15:35:42,322:INFO:SubProcess create_model() called ==================================
  15553. 2022-01-27 15:35:42,323:INFO:Initializing create_model()
  15554. 2022-01-27 15:35:42,323:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15555. 2022-01-27 15:35:42,323:INFO:Checking exceptions
  15556. 2022-01-27 15:35:42,323:INFO:Importing libraries
  15557. 2022-01-27 15:35:42,323:INFO:Copying training dataset
  15558. 2022-01-27 15:35:42,324:INFO:Defining folds
  15559. 2022-01-27 15:35:42,324:INFO:Declaring metric variables
  15560. 2022-01-27 15:35:42,329:INFO:Importing untrained model
  15561. 2022-01-27 15:35:42,334:INFO:Gradient Boosting Classifier Imported succesfully
  15562. 2022-01-27 15:35:42,343:INFO:Starting cross validation
  15563. 2022-01-27 15:35:42,344:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15564. 2022-01-27 15:35:45,760:INFO:Calculating mean and std
  15565. 2022-01-27 15:35:45,761:INFO:Creating metrics dataframe
  15566. 2022-01-27 15:35:45,764:INFO:Uploading results into container
  15567. 2022-01-27 15:35:45,764:INFO:Uploading model into container now
  15568. 2022-01-27 15:35:45,764:INFO:create_model_container: 11
  15569. 2022-01-27 15:35:45,764:INFO:master_model_container: 11
  15570. 2022-01-27 15:35:45,765:INFO:display_container: 3
  15571. 2022-01-27 15:35:45,765:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  15572. learning_rate=0.1, loss='deviance', max_depth=3,
  15573. max_features=None, max_leaf_nodes=None,
  15574. min_impurity_decrease=0.0, min_impurity_split=None,
  15575. min_samples_leaf=1, min_samples_split=2,
  15576. min_weight_fraction_leaf=0.0, n_estimators=100,
  15577. n_iter_no_change=None, presort='deprecated',
  15578. random_state=8782, subsample=1.0, tol=0.0001,
  15579. validation_fraction=0.1, verbose=0,
  15580. warm_start=False)
  15581. 2022-01-27 15:35:45,765:INFO:create_model() succesfully completed......................................
  15582. 2022-01-27 15:35:45,832:INFO:SubProcess create_model() end ==================================
  15583. 2022-01-27 15:35:45,832:INFO:Creating metrics dataframe
  15584. 2022-01-27 15:35:45,844:INFO:Initializing Linear Discriminant Analysis
  15585. 2022-01-27 15:35:45,844:INFO:Total runtime is 0.2891955057779948 minutes
  15586. 2022-01-27 15:35:45,849:INFO:SubProcess create_model() called ==================================
  15587. 2022-01-27 15:35:45,850:INFO:Initializing create_model()
  15588. 2022-01-27 15:35:45,850:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15589. 2022-01-27 15:35:45,850:INFO:Checking exceptions
  15590. 2022-01-27 15:35:45,850:INFO:Importing libraries
  15591. 2022-01-27 15:35:45,850:INFO:Copying training dataset
  15592. 2022-01-27 15:35:45,851:INFO:Defining folds
  15593. 2022-01-27 15:35:45,851:INFO:Declaring metric variables
  15594. 2022-01-27 15:35:45,856:INFO:Importing untrained model
  15595. 2022-01-27 15:35:45,860:INFO:Linear Discriminant Analysis Imported succesfully
  15596. 2022-01-27 15:35:45,871:INFO:Starting cross validation
  15597. 2022-01-27 15:35:45,871:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15598. 2022-01-27 15:35:46,122:INFO:Calculating mean and std
  15599. 2022-01-27 15:35:46,123:INFO:Creating metrics dataframe
  15600. 2022-01-27 15:35:46,126:INFO:Uploading results into container
  15601. 2022-01-27 15:35:46,126:INFO:Uploading model into container now
  15602. 2022-01-27 15:35:46,126:INFO:create_model_container: 12
  15603. 2022-01-27 15:35:46,126:INFO:master_model_container: 12
  15604. 2022-01-27 15:35:46,126:INFO:display_container: 3
  15605. 2022-01-27 15:35:46,127:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  15606. solver='svd', store_covariance=False, tol=0.0001)
  15607. 2022-01-27 15:35:46,127:INFO:create_model() succesfully completed......................................
  15608. 2022-01-27 15:35:46,196:INFO:SubProcess create_model() end ==================================
  15609. 2022-01-27 15:35:46,197:INFO:Creating metrics dataframe
  15610. 2022-01-27 15:35:46,209:INFO:Initializing Extra Trees Classifier
  15611. 2022-01-27 15:35:46,210:INFO:Total runtime is 0.2952850619951884 minutes
  15612. 2022-01-27 15:35:46,215:INFO:SubProcess create_model() called ==================================
  15613. 2022-01-27 15:35:46,215:INFO:Initializing create_model()
  15614. 2022-01-27 15:35:46,216:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15615. 2022-01-27 15:35:46,216:INFO:Checking exceptions
  15616. 2022-01-27 15:35:46,216:INFO:Importing libraries
  15617. 2022-01-27 15:35:46,216:INFO:Copying training dataset
  15618. 2022-01-27 15:35:46,217:INFO:Defining folds
  15619. 2022-01-27 15:35:46,217:INFO:Declaring metric variables
  15620. 2022-01-27 15:35:46,222:INFO:Importing untrained model
  15621. 2022-01-27 15:35:46,227:INFO:Extra Trees Classifier Imported succesfully
  15622. 2022-01-27 15:35:46,238:INFO:Starting cross validation
  15623. 2022-01-27 15:35:46,239:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15624. 2022-01-27 15:35:48,104:INFO:Calculating mean and std
  15625. 2022-01-27 15:35:48,105:INFO:Creating metrics dataframe
  15626. 2022-01-27 15:35:48,108:INFO:Uploading results into container
  15627. 2022-01-27 15:35:48,109:INFO:Uploading model into container now
  15628. 2022-01-27 15:35:48,109:INFO:create_model_container: 13
  15629. 2022-01-27 15:35:48,109:INFO:master_model_container: 13
  15630. 2022-01-27 15:35:48,109:INFO:display_container: 3
  15631. 2022-01-27 15:35:48,110:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  15632. criterion='gini', max_depth=None, max_features='auto',
  15633. max_leaf_nodes=None, max_samples=None,
  15634. min_impurity_decrease=0.0, min_impurity_split=None,
  15635. min_samples_leaf=1, min_samples_split=2,
  15636. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  15637. oob_score=False, random_state=8782, verbose=0,
  15638. warm_start=False)
  15639. 2022-01-27 15:35:48,110:INFO:create_model() succesfully completed......................................
  15640. 2022-01-27 15:35:48,192:INFO:SubProcess create_model() end ==================================
  15641. 2022-01-27 15:35:48,192:INFO:Creating metrics dataframe
  15642. 2022-01-27 15:35:48,208:INFO:Initializing Extreme Gradient Boosting
  15643. 2022-01-27 15:35:48,209:INFO:Total runtime is 0.32860164642333983 minutes
  15644. 2022-01-27 15:35:48,215:INFO:SubProcess create_model() called ==================================
  15645. 2022-01-27 15:35:48,216:INFO:Initializing create_model()
  15646. 2022-01-27 15:35:48,216:INFO:create_model(estimator=xgboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15647. 2022-01-27 15:35:48,216:INFO:Checking exceptions
  15648. 2022-01-27 15:35:48,216:INFO:Importing libraries
  15649. 2022-01-27 15:35:48,216:INFO:Copying training dataset
  15650. 2022-01-27 15:35:48,217:INFO:Defining folds
  15651. 2022-01-27 15:35:48,218:INFO:Declaring metric variables
  15652. 2022-01-27 15:35:48,223:INFO:Importing untrained model
  15653. 2022-01-27 15:35:48,229:INFO:Extreme Gradient Boosting Imported succesfully
  15654. 2022-01-27 15:35:48,241:INFO:Starting cross validation
  15655. 2022-01-27 15:35:48,242:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15656. 2022-01-27 15:44:33,915:INFO:Calculating mean and std
  15657. 2022-01-27 15:44:33,917:INFO:Creating metrics dataframe
  15658. 2022-01-27 15:44:33,923:INFO:Uploading results into container
  15659. 2022-01-27 15:44:33,923:INFO:Uploading model into container now
  15660. 2022-01-27 15:44:33,924:INFO:create_model_container: 14
  15661. 2022-01-27 15:44:33,924:INFO:master_model_container: 14
  15662. 2022-01-27 15:44:33,925:INFO:display_container: 3
  15663. 2022-01-27 15:44:33,926:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
  15664. colsample_bynode=None, colsample_bytree=None,
  15665. enable_categorical=False, gamma=None, gpu_id=None,
  15666. importance_type=None, interaction_constraints=None,
  15667. learning_rate=None, max_delta_step=None, max_depth=None,
  15668. min_child_weight=None, missing=nan, monotone_constraints=None,
  15669. n_estimators=100, n_jobs=-1, num_parallel_tree=None,
  15670. objective='binary:logistic', predictor=None, random_state=8782,
  15671. reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
  15672. subsample=None, tree_method='auto', use_label_encoder=True,
  15673. validate_parameters=None, verbosity=0)
  15674. 2022-01-27 15:44:33,926:INFO:create_model() succesfully completed......................................
  15675. 2022-01-27 15:44:34,032:INFO:SubProcess create_model() end ==================================
  15676. 2022-01-27 15:44:34,032:INFO:Creating metrics dataframe
  15677. 2022-01-27 15:44:34,045:INFO:Initializing Light Gradient Boosting Machine
  15678. 2022-01-27 15:44:34,045:INFO:Total runtime is 9.092548799514772 minutes
  15679. 2022-01-27 15:44:34,051:INFO:SubProcess create_model() called ==================================
  15680. 2022-01-27 15:44:34,051:INFO:Initializing create_model()
  15681. 2022-01-27 15:44:34,051:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15682. 2022-01-27 15:44:34,052:INFO:Checking exceptions
  15683. 2022-01-27 15:44:34,052:INFO:Importing libraries
  15684. 2022-01-27 15:44:34,052:INFO:Copying training dataset
  15685. 2022-01-27 15:44:34,053:INFO:Defining folds
  15686. 2022-01-27 15:44:34,053:INFO:Declaring metric variables
  15687. 2022-01-27 15:44:34,057:INFO:Importing untrained model
  15688. 2022-01-27 15:44:34,063:INFO:Light Gradient Boosting Machine Imported succesfully
  15689. 2022-01-27 15:44:34,073:INFO:Starting cross validation
  15690. 2022-01-27 15:44:34,074:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15691. 2022-01-27 15:44:35,101:INFO:Calculating mean and std
  15692. 2022-01-27 15:44:35,102:INFO:Creating metrics dataframe
  15693. 2022-01-27 15:44:35,105:INFO:Uploading results into container
  15694. 2022-01-27 15:44:35,105:INFO:Uploading model into container now
  15695. 2022-01-27 15:44:35,105:INFO:create_model_container: 15
  15696. 2022-01-27 15:44:35,106:INFO:master_model_container: 15
  15697. 2022-01-27 15:44:35,106:INFO:display_container: 3
  15698. 2022-01-27 15:44:35,106:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  15699. importance_type='split', learning_rate=0.1, max_depth=-1,
  15700. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  15701. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  15702. random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  15703. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  15704. 2022-01-27 15:44:35,106:INFO:create_model() succesfully completed......................................
  15705. 2022-01-27 15:44:35,187:INFO:SubProcess create_model() end ==================================
  15706. 2022-01-27 15:44:35,188:INFO:Creating metrics dataframe
  15707. 2022-01-27 15:44:35,202:INFO:Initializing Dummy Classifier
  15708. 2022-01-27 15:44:35,203:INFO:Total runtime is 9.111837255954743 minutes
  15709. 2022-01-27 15:44:35,208:INFO:SubProcess create_model() called ==================================
  15710. 2022-01-27 15:44:35,209:INFO:Initializing create_model()
  15711. 2022-01-27 15:44:35,209:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x7f593c23ac70>, kwargs={})
  15712. 2022-01-27 15:44:35,209:INFO:Checking exceptions
  15713. 2022-01-27 15:44:35,209:INFO:Importing libraries
  15714. 2022-01-27 15:44:35,209:INFO:Copying training dataset
  15715. 2022-01-27 15:44:35,211:INFO:Defining folds
  15716. 2022-01-27 15:44:35,212:INFO:Declaring metric variables
  15717. 2022-01-27 15:44:35,217:INFO:Importing untrained model
  15718. 2022-01-27 15:44:35,221:INFO:Dummy Classifier Imported succesfully
  15719. 2022-01-27 15:44:35,232:INFO:Starting cross validation
  15720. 2022-01-27 15:44:35,233:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  15721. 2022-01-27 15:44:36,285:INFO:Calculating mean and std
  15722. 2022-01-27 15:44:36,286:INFO:Creating metrics dataframe
  15723. 2022-01-27 15:44:36,289:INFO:Uploading results into container
  15724. 2022-01-27 15:44:36,289:INFO:Uploading model into container now
  15725. 2022-01-27 15:44:36,290:INFO:create_model_container: 16
  15726. 2022-01-27 15:44:36,290:INFO:master_model_container: 16
  15727. 2022-01-27 15:44:36,290:INFO:display_container: 3
  15728. 2022-01-27 15:44:36,290:INFO:DummyClassifier(constant=None, random_state=8782, strategy='prior')
  15729. 2022-01-27 15:44:36,290:INFO:create_model() succesfully completed......................................
  15730. 2022-01-27 15:44:36,365:INFO:SubProcess create_model() end ==================================
  15731. 2022-01-27 15:44:36,366:INFO:Creating metrics dataframe
  15732. 2022-01-27 15:44:36,392:INFO:Initializing create_model()
  15733. 2022-01-27 15:44:36,392:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  15734. criterion='gini', max_depth=None, max_features='auto',
  15735. max_leaf_nodes=None, max_samples=None,
  15736. min_impurity_decrease=0.0, min_impurity_split=None,
  15737. min_samples_leaf=1, min_samples_split=2,
  15738. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  15739. oob_score=False, random_state=8782, verbose=0,
  15740. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15741. 2022-01-27 15:44:36,392:INFO:Checking exceptions
  15742. 2022-01-27 15:44:36,393:INFO:Importing libraries
  15743. 2022-01-27 15:44:36,393:INFO:Copying training dataset
  15744. 2022-01-27 15:44:36,394:INFO:Defining folds
  15745. 2022-01-27 15:44:36,394:INFO:Declaring metric variables
  15746. 2022-01-27 15:44:36,394:INFO:Importing untrained model
  15747. 2022-01-27 15:44:36,394:INFO:Declaring custom model
  15748. 2022-01-27 15:44:36,395:INFO:Extra Trees Classifier Imported succesfully
  15749. 2022-01-27 15:44:36,395:INFO:Cross validation set to False
  15750. 2022-01-27 15:44:36,395:INFO:Fitting Model
  15751. 2022-01-27 15:44:36,713:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  15752. criterion='gini', max_depth=None, max_features='auto',
  15753. max_leaf_nodes=None, max_samples=None,
  15754. min_impurity_decrease=0.0, min_impurity_split=None,
  15755. min_samples_leaf=1, min_samples_split=2,
  15756. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  15757. oob_score=False, random_state=8782, verbose=0,
  15758. warm_start=False)
  15759. 2022-01-27 15:44:36,714:INFO:create_models() succesfully completed......................................
  15760. 2022-01-27 15:44:36,797:INFO:Initializing create_model()
  15761. 2022-01-27 15:44:36,798:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15762. criterion='gini', max_depth=None, max_features='auto',
  15763. max_leaf_nodes=None, max_samples=None,
  15764. min_impurity_decrease=0.0, min_impurity_split=None,
  15765. min_samples_leaf=1, min_samples_split=2,
  15766. min_weight_fraction_leaf=0.0, n_estimators=100,
  15767. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15768. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15769. 2022-01-27 15:44:36,798:INFO:Checking exceptions
  15770. 2022-01-27 15:44:36,798:INFO:Importing libraries
  15771. 2022-01-27 15:44:36,798:INFO:Copying training dataset
  15772. 2022-01-27 15:44:36,799:INFO:Defining folds
  15773. 2022-01-27 15:44:36,799:INFO:Declaring metric variables
  15774. 2022-01-27 15:44:36,799:INFO:Importing untrained model
  15775. 2022-01-27 15:44:36,800:INFO:Declaring custom model
  15776. 2022-01-27 15:44:36,800:INFO:Random Forest Classifier Imported succesfully
  15777. 2022-01-27 15:44:36,800:INFO:Cross validation set to False
  15778. 2022-01-27 15:44:36,801:INFO:Fitting Model
  15779. 2022-01-27 15:44:37,199:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15780. criterion='gini', max_depth=None, max_features='auto',
  15781. max_leaf_nodes=None, max_samples=None,
  15782. min_impurity_decrease=0.0, min_impurity_split=None,
  15783. min_samples_leaf=1, min_samples_split=2,
  15784. min_weight_fraction_leaf=0.0, n_estimators=100,
  15785. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15786. warm_start=False)
  15787. 2022-01-27 15:44:37,199:INFO:create_models() succesfully completed......................................
  15788. 2022-01-27 15:44:37,277:INFO:Initializing create_model()
  15789. 2022-01-27 15:44:37,278:INFO:create_model(estimator=XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
  15790. colsample_bynode=None, colsample_bytree=None,
  15791. enable_categorical=False, gamma=None, gpu_id=None,
  15792. importance_type=None, interaction_constraints=None,
  15793. learning_rate=None, max_delta_step=None, max_depth=None,
  15794. min_child_weight=None, missing=nan, monotone_constraints=None,
  15795. n_estimators=100, n_jobs=-1, num_parallel_tree=None,
  15796. objective='binary:logistic', predictor=None, random_state=8782,
  15797. reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
  15798. subsample=None, tree_method='auto', use_label_encoder=True,
  15799. validate_parameters=None, verbosity=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15800. 2022-01-27 15:44:37,278:INFO:Checking exceptions
  15801. 2022-01-27 15:44:37,278:INFO:Importing libraries
  15802. 2022-01-27 15:44:37,278:INFO:Copying training dataset
  15803. 2022-01-27 15:44:37,279:INFO:Defining folds
  15804. 2022-01-27 15:44:37,279:INFO:Declaring metric variables
  15805. 2022-01-27 15:44:37,279:INFO:Importing untrained model
  15806. 2022-01-27 15:44:37,279:INFO:Declaring custom model
  15807. 2022-01-27 15:44:37,280:INFO:Extreme Gradient Boosting Imported succesfully
  15808. 2022-01-27 15:44:37,281:INFO:Cross validation set to False
  15809. 2022-01-27 15:44:37,281:INFO:Fitting Model
  15810. 2022-01-27 15:44:37,826:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  15811. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  15812. gamma=0, gpu_id=-1, importance_type=None,
  15813. interaction_constraints='', learning_rate=0.300000012,
  15814. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  15815. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  15816. num_parallel_tree=1, objective='binary:logistic',
  15817. predictor='auto', random_state=8782, reg_alpha=0, reg_lambda=1,
  15818. scale_pos_weight=1, subsample=1, tree_method='auto',
  15819. use_label_encoder=True, validate_parameters=1, verbosity=0)
  15820. 2022-01-27 15:44:37,826:INFO:create_models() succesfully completed......................................
  15821. 2022-01-27 15:44:37,897:INFO:Initializing create_model()
  15822. 2022-01-27 15:44:37,897:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  15823. importance_type='split', learning_rate=0.1, max_depth=-1,
  15824. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  15825. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  15826. random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  15827. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15828. 2022-01-27 15:44:37,897:INFO:Checking exceptions
  15829. 2022-01-27 15:44:37,897:INFO:Importing libraries
  15830. 2022-01-27 15:44:37,897:INFO:Copying training dataset
  15831. 2022-01-27 15:44:37,898:INFO:Defining folds
  15832. 2022-01-27 15:44:37,898:INFO:Declaring metric variables
  15833. 2022-01-27 15:44:37,898:INFO:Importing untrained model
  15834. 2022-01-27 15:44:37,898:INFO:Declaring custom model
  15835. 2022-01-27 15:44:37,899:INFO:Light Gradient Boosting Machine Imported succesfully
  15836. 2022-01-27 15:44:37,900:INFO:Cross validation set to False
  15837. 2022-01-27 15:44:37,900:INFO:Fitting Model
  15838. 2022-01-27 15:44:38,355:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  15839. importance_type='split', learning_rate=0.1, max_depth=-1,
  15840. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  15841. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  15842. random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  15843. subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
  15844. 2022-01-27 15:44:38,355:INFO:create_models() succesfully completed......................................
  15845. 2022-01-27 15:44:38,428:INFO:Initializing create_model()
  15846. 2022-01-27 15:44:38,428:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  15847. max_depth=None, max_features=None, max_leaf_nodes=None,
  15848. min_impurity_decrease=0.0, min_impurity_split=None,
  15849. min_samples_leaf=1, min_samples_split=2,
  15850. min_weight_fraction_leaf=0.0, presort='deprecated',
  15851. random_state=8782, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15852. 2022-01-27 15:44:38,428:INFO:Checking exceptions
  15853. 2022-01-27 15:44:38,428:INFO:Importing libraries
  15854. 2022-01-27 15:44:38,428:INFO:Copying training dataset
  15855. 2022-01-27 15:44:38,429:INFO:Defining folds
  15856. 2022-01-27 15:44:38,429:INFO:Declaring metric variables
  15857. 2022-01-27 15:44:38,429:INFO:Importing untrained model
  15858. 2022-01-27 15:44:38,430:INFO:Declaring custom model
  15859. 2022-01-27 15:44:38,430:INFO:Decision Tree Classifier Imported succesfully
  15860. 2022-01-27 15:44:38,430:INFO:Cross validation set to False
  15861. 2022-01-27 15:44:38,431:INFO:Fitting Model
  15862. 2022-01-27 15:44:38,538:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  15863. max_depth=None, max_features=None, max_leaf_nodes=None,
  15864. min_impurity_decrease=0.0, min_impurity_split=None,
  15865. min_samples_leaf=1, min_samples_split=2,
  15866. min_weight_fraction_leaf=0.0, presort='deprecated',
  15867. random_state=8782, splitter='best')
  15868. 2022-01-27 15:44:38,538:INFO:create_models() succesfully completed......................................
  15869. 2022-01-27 15:44:38,613:INFO:Initializing create_model()
  15870. 2022-01-27 15:44:38,613:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  15871. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  15872. weights='uniform'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  15873. 2022-01-27 15:44:38,613:INFO:Checking exceptions
  15874. 2022-01-27 15:44:38,614:INFO:Importing libraries
  15875. 2022-01-27 15:44:38,614:INFO:Copying training dataset
  15876. 2022-01-27 15:44:38,614:INFO:Defining folds
  15877. 2022-01-27 15:44:38,614:INFO:Declaring metric variables
  15878. 2022-01-27 15:44:38,615:INFO:Importing untrained model
  15879. 2022-01-27 15:44:38,615:INFO:Declaring custom model
  15880. 2022-01-27 15:44:38,615:INFO:K Neighbors Classifier Imported succesfully
  15881. 2022-01-27 15:44:38,615:INFO:Cross validation set to False
  15882. 2022-01-27 15:44:38,616:INFO:Fitting Model
  15883. 2022-01-27 15:44:39,477:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  15884. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  15885. weights='uniform')
  15886. 2022-01-27 15:44:39,478:INFO:create_models() succesfully completed......................................
  15887. 2022-01-27 15:44:39,571:INFO:create_model_container: 16
  15888. 2022-01-27 15:44:39,572:INFO:master_model_container: 16
  15889. 2022-01-27 15:44:39,572:INFO:display_container: 3
  15890. 2022-01-27 15:44:39,574:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  15891. criterion='gini', max_depth=None, max_features='auto',
  15892. max_leaf_nodes=None, max_samples=None,
  15893. min_impurity_decrease=0.0, min_impurity_split=None,
  15894. min_samples_leaf=1, min_samples_split=2,
  15895. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  15896. oob_score=False, random_state=8782, verbose=0,
  15897. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  15898. criterion='gini', max_depth=None, max_features='auto',
  15899. max_leaf_nodes=None, max_samples=None,
  15900. min_impurity_decrease=0.0, min_impurity_split=None,
  15901. min_samples_leaf=1, min_samples_split=2,
  15902. min_weight_fraction_leaf=0.0, n_estimators=100,
  15903. n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
  15904. warm_start=False), XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  15905. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  15906. gamma=0, gpu_id=-1, importance_type=None,
  15907. interaction_constraints='', learning_rate=0.300000012,
  15908. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  15909. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  15910. num_parallel_tree=1, objective='binary:logistic',
  15911. predictor='auto', random_state=8782, reg_alpha=0, reg_lambda=1,
  15912. scale_pos_weight=1, subsample=1, tree_method='auto',
  15913. use_label_encoder=True, validate_parameters=1, verbosity=0), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  15914. importance_type='split', learning_rate=0.1, max_depth=-1,
  15915. min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
  15916. n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
  15917. random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
  15918. subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  15919. max_depth=None, max_features=None, max_leaf_nodes=None,
  15920. min_impurity_decrease=0.0, min_impurity_split=None,
  15921. min_samples_leaf=1, min_samples_split=2,
  15922. min_weight_fraction_leaf=0.0, presort='deprecated',
  15923. random_state=8782, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  15924. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  15925. weights='uniform')]
  15926. 2022-01-27 15:44:39,574:INFO:compare_models() succesfully completed......................................
  15927. 2022-01-27 17:09:17,601:INFO:PyCaret Supervised Module
  15928. 2022-01-27 17:09:17,601:INFO:ML Usecase: classification
  15929. 2022-01-27 17:09:17,602:INFO:version 2.3.6
  15930. 2022-01-27 17:09:17,602:INFO:Initializing setup()
  15931. 2022-01-27 17:09:17,602:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  15932. 2022-01-27 17:09:17,602:INFO:Checking environment
  15933. 2022-01-27 17:09:17,602:INFO:python_version: 3.8.8
  15934. 2022-01-27 17:09:17,603:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  15935. 2022-01-27 17:09:17,603:INFO:machine: x86_64
  15936. 2022-01-27 17:09:17,603:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  15937. 2022-01-27 17:09:17,603:INFO:Memory: svmem(total=33619935232, available=28985139200, percent=13.8, used=3717255168, free=25844936704, active=1079398400, inactive=5746593792, buffers=441016320, cached=3616727040, shared=444874752, slab=642580480)
  15938. 2022-01-27 17:09:17,604:INFO:Physical Core: 16
  15939. 2022-01-27 17:09:17,604:INFO:Logical Core: 32
  15940. 2022-01-27 17:09:17,604:INFO:Checking libraries
  15941. 2022-01-27 17:09:17,604:INFO:pd==1.2.4
  15942. 2022-01-27 17:09:17,605:INFO:numpy==1.19.5
  15943. 2022-01-27 17:09:17,605:INFO:sklearn==0.23.2
  15944. 2022-01-27 17:09:17,605:INFO:lightgbm==3.3.2
  15945. 2022-01-27 17:09:17,605:WARNING:catboost not found
  15946. 2022-01-27 17:09:17,614:INFO:xgboost==1.5.2
  15947. 2022-01-27 17:09:17,739:INFO:mlflow==1.22.0
  15948. 2022-01-27 17:09:17,740:INFO:Checking Exceptions
  15949. 2022-01-27 17:09:17,740:INFO:Declaring global variables
  15950. 2022-01-27 17:09:17,740:INFO:USI: b2ab
  15951. 2022-01-27 17:09:17,741:INFO:pycaret_globals: {'display_container', 'fix_imbalance_param', 'data_before_preprocess', 'fold_generator', 'pycaret_globals', 'n_jobs_param', '_available_plots', 'fold_groups_param', 'y', 'fix_imbalance_method_param', '_gpu_n_jobs_param', 'stratify_param', 'target_param', 'y_train', '_all_models', 'master_model_container', '_all_models_internal', 'transform_target_method_param', 'imputation_classifier', 'X', 'seed', 'prep_pipe', 'USI', 'fold_shuffle_param', 'transform_target_param', 'fold_groups_param_full', 'logging_param', 'imputation_regressor', 'fold_param', '_ml_usecase', '_all_metrics', 'html_param', 'experiment__', 'iterative_imputation_iters_param', 'X_test', 'X_train', 'exp_name_log', 'log_plots_param', 'y_test', '_internal_pipeline', 'create_model_container', 'gpu_param'}
  15952. 2022-01-27 17:09:17,741:INFO:Preparing display monitor
  15953. 2022-01-27 17:09:17,741:INFO:Preparing display monitor
  15954. 2022-01-27 17:09:17,751:INFO:Importing libraries
  15955. 2022-01-27 17:09:17,752:INFO:Copying data for preprocessing
  15956. 2022-01-27 17:09:17,758:INFO:Declaring preprocessing parameters
  15957. 2022-01-27 17:09:17,759:WARNING:cuML not found
  15958. 2022-01-27 17:09:17,759:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  15959. 2022-01-27 17:09:17,763:INFO:Creating preprocessing pipeline
  15960. 2022-01-27 17:09:17,809:INFO:Preprocessing pipeline created successfully
  15961. 2022-01-27 17:09:17,809:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  15962. 2022-01-27 17:09:17,809:INFO:Creating global containers
  15963. 2022-01-27 17:09:17,810:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  15964. 2022-01-27 17:09:19,896:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15965. 2022-01-27 17:09:19,924:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15966. 2022-01-27 17:09:19,925:WARNING:Couldn't import cuml.MBSGDClassifier
  15967. 2022-01-27 17:09:19,926:WARNING:Couldn't import cuml.svm.SVC
  15968. 2022-01-27 17:09:19,943:WARNING:Couldn't import cuml.linear_model
  15969. 2022-01-27 17:09:19,946:WARNING:Couldn't import cuml.ensemble
  15970. 2022-01-27 17:09:19,957:WARNING:Couldn't import catboost.CatBoostClassifier
  15971. 2022-01-27 17:09:19,958:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  15972. 2022-01-27 17:09:19,988:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  15973. 2022-01-27 17:09:19,988:WARNING:Couldn't import cuml.MBSGDClassifier
  15974. 2022-01-27 17:09:19,989:WARNING:Couldn't import cuml.svm.SVC
  15975. 2022-01-27 17:09:20,003:WARNING:Couldn't import cuml.linear_model
  15976. 2022-01-27 17:09:20,006:WARNING:Couldn't import cuml.ensemble
  15977. 2022-01-27 17:09:20,013:WARNING:Couldn't import catboost.CatBoostClassifier
  15978. 2022-01-27 17:09:20,014:INFO:Creating grid variables
  15979. 2022-01-27 17:09:20,025:INFO:create_model_container: 0
  15980. 2022-01-27 17:09:20,026:INFO:master_model_container: 0
  15981. 2022-01-27 17:09:20,026:INFO:display_container: 1
  15982. 2022-01-27 17:09:20,029:INFO:Pipeline(memory=None,
  15983. steps=[('dtypes',
  15984. DataTypes_Auto_infer(categorical_features=[],
  15985. display_types=True, features_todrop=[],
  15986. id_columns=[],
  15987. ml_usecase='classification',
  15988. numerical_features=[], target='label',
  15989. time_features=[])),
  15990. ('imputer',
  15991. Simple_Imputer(categorical_strategy='not_available',
  15992. fill_value_categorical=None,
  15993. fill_value_numerical=None,
  15994. numeric_strate...
  15995. target='label')),
  15996. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  15997. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  15998. ('dummy', Dummify(target='label')),
  15999. ('fix_perfect', Remove_100(target='label')),
  16000. ('clean_names', Clean_Colum_Names()),
  16001. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16002. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16003. verbose=False)
  16004. 2022-01-27 17:09:20,029:INFO:setup() succesfully completed......................................
  16005. 2022-01-27 17:09:26,719:INFO:Initializing create_model()
  16006. 2022-01-27 17:09:26,719:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  16007. 2022-01-27 17:09:26,720:INFO:Checking exceptions
  16008. 2022-01-27 17:09:26,720:INFO:Preparing display monitor
  16009. 2022-01-27 17:09:26,730:INFO:Importing libraries
  16010. 2022-01-27 17:09:26,731:INFO:Copying training dataset
  16011. 2022-01-27 17:09:26,732:INFO:Defining folds
  16012. 2022-01-27 17:09:26,732:INFO:Declaring metric variables
  16013. 2022-01-27 17:09:26,737:INFO:Importing untrained model
  16014. 2022-01-27 17:09:26,742:INFO:Extreme Gradient Boosting Imported succesfully
  16015. 2022-01-27 17:09:26,752:INFO:Starting cross validation
  16016. 2022-01-27 17:09:26,753:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16017. 2022-01-27 17:09:27,273:INFO:Calculating mean and std
  16018. 2022-01-27 17:09:27,274:INFO:Creating metrics dataframe
  16019. 2022-01-27 17:09:27,282:INFO:Finalizing model
  16020. 2022-02-04 13:23:28,725:INFO:PyCaret Supervised Module
  16021. 2022-02-04 13:23:28,725:INFO:ML Usecase: classification
  16022. 2022-02-04 13:23:28,725:INFO:version 2.3.6
  16023. 2022-02-04 13:23:28,726:INFO:Initializing setup()
  16024. 2022-02-04 13:23:28,726:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  16025. 2022-02-04 13:23:28,726:INFO:Checking environment
  16026. 2022-02-04 13:23:28,726:INFO:python_version: 3.8.8
  16027. 2022-02-04 13:23:28,726:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  16028. 2022-02-04 13:23:28,726:INFO:machine: x86_64
  16029. 2022-02-04 13:23:28,727:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  16030. 2022-02-04 13:23:28,727:INFO:Memory: svmem(total=33619935232, available=29549060096, percent=12.1, used=3260289024, free=27598581760, active=592039936, inactive=4914397184, buffers=228106240, cached=2532958208, shared=383373312, slab=220319744)
  16031. 2022-02-04 13:23:28,729:INFO:Physical Core: 16
  16032. 2022-02-04 13:23:28,729:INFO:Logical Core: 32
  16033. 2022-02-04 13:23:28,729:INFO:Checking libraries
  16034. 2022-02-04 13:23:28,729:INFO:pd==1.2.4
  16035. 2022-02-04 13:23:28,729:INFO:numpy==1.19.5
  16036. 2022-02-04 13:23:28,729:INFO:sklearn==0.23.2
  16037. 2022-02-04 13:23:28,730:INFO:lightgbm==3.3.2
  16038. 2022-02-04 13:23:28,730:WARNING:catboost not found
  16039. 2022-02-04 13:23:28,779:INFO:xgboost==1.5.2
  16040. 2022-02-04 13:23:28,980:INFO:mlflow==1.22.0
  16041. 2022-02-04 13:23:28,981:INFO:Checking Exceptions
  16042. 2022-02-04 13:23:28,981:INFO:Declaring global variables
  16043. 2022-02-04 13:23:28,981:INFO:USI: f076
  16044. 2022-02-04 13:23:28,982:INFO:pycaret_globals: {'html_param', 'fold_shuffle_param', 'target_param', 'X_test', 'fix_imbalance_method_param', 'imputation_classifier', 'data_before_preprocess', 'y_test', 'y', 'X_train', 'prep_pipe', 'pycaret_globals', 'USI', 'master_model_container', 'create_model_container', '_all_metrics', '_gpu_n_jobs_param', 'y_train', '_ml_usecase', 'exp_name_log', '_available_plots', 'transform_target_param', '_all_models_internal', 'stratify_param', 'logging_param', 'imputation_regressor', 'fold_groups_param_full', 'display_container', 'n_jobs_param', 'experiment__', '_all_models', 'log_plots_param', 'fix_imbalance_param', 'fold_param', 'gpu_param', 'fold_groups_param', 'X', 'iterative_imputation_iters_param', 'seed', 'transform_target_method_param', 'fold_generator', '_internal_pipeline'}
  16045. 2022-02-04 13:23:28,982:INFO:Preparing display monitor
  16046. 2022-02-04 13:23:28,982:INFO:Preparing display monitor
  16047. 2022-02-04 13:23:28,992:INFO:Importing libraries
  16048. 2022-02-04 13:23:28,992:INFO:Copying data for preprocessing
  16049. 2022-02-04 13:23:29,000:INFO:Declaring preprocessing parameters
  16050. 2022-02-04 13:23:29,001:WARNING:cuML not found
  16051. 2022-02-04 13:23:29,001:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  16052. 2022-02-04 13:23:29,008:INFO:Creating preprocessing pipeline
  16053. 2022-02-04 13:23:29,115:INFO:Preprocessing pipeline created successfully
  16054. 2022-02-04 13:23:29,115:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  16055. 2022-02-04 13:23:29,116:INFO:Creating global containers
  16056. 2022-02-04 13:23:29,117:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  16057. 2022-02-04 13:23:39,201:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  16058. 2022-02-04 13:23:39,227:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  16059. 2022-02-04 13:23:39,229:WARNING:Couldn't import cuml.MBSGDClassifier
  16060. 2022-02-04 13:23:39,230:WARNING:Couldn't import cuml.svm.SVC
  16061. 2022-02-04 13:23:39,247:WARNING:Couldn't import cuml.linear_model
  16062. 2022-02-04 13:23:39,250:WARNING:Couldn't import cuml.ensemble
  16063. 2022-02-04 13:23:39,275:WARNING:Couldn't import catboost.CatBoostClassifier
  16064. 2022-02-04 13:23:39,276:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  16065. 2022-02-04 13:23:39,305:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  16066. 2022-02-04 13:23:39,306:WARNING:Couldn't import cuml.MBSGDClassifier
  16067. 2022-02-04 13:23:39,307:WARNING:Couldn't import cuml.svm.SVC
  16068. 2022-02-04 13:23:39,320:WARNING:Couldn't import cuml.linear_model
  16069. 2022-02-04 13:23:39,323:WARNING:Couldn't import cuml.ensemble
  16070. 2022-02-04 13:23:39,330:WARNING:Couldn't import catboost.CatBoostClassifier
  16071. 2022-02-04 13:23:39,331:INFO:Creating grid variables
  16072. 2022-02-04 13:23:39,344:INFO:create_model_container: 0
  16073. 2022-02-04 13:23:39,344:INFO:master_model_container: 0
  16074. 2022-02-04 13:23:39,345:INFO:display_container: 1
  16075. 2022-02-04 13:23:39,347:INFO:Pipeline(memory=None,
  16076. steps=[('dtypes',
  16077. DataTypes_Auto_infer(categorical_features=[],
  16078. display_types=True, features_todrop=[],
  16079. id_columns=[],
  16080. ml_usecase='classification',
  16081. numerical_features=[], target='label',
  16082. time_features=[])),
  16083. ('imputer',
  16084. Simple_Imputer(categorical_strategy='not_available',
  16085. fill_value_categorical=None,
  16086. fill_value_numerical=None,
  16087. numeric_strate...
  16088. target='label')),
  16089. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16090. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16091. ('dummy', Dummify(target='label')),
  16092. ('fix_perfect', Remove_100(target='label')),
  16093. ('clean_names', Clean_Colum_Names()),
  16094. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16095. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16096. verbose=False)
  16097. 2022-02-04 13:23:39,348:INFO:setup() succesfully completed......................................
  16098. 2022-02-04 13:23:57,781:INFO:Initializing create_model()
  16099. 2022-02-04 13:23:57,781:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  16100. 2022-02-04 13:23:57,781:INFO:Checking exceptions
  16101. 2022-02-04 13:23:57,782:INFO:Preparing display monitor
  16102. 2022-02-04 13:23:57,793:INFO:Importing libraries
  16103. 2022-02-04 13:23:57,793:INFO:Copying training dataset
  16104. 2022-02-04 13:23:57,794:INFO:Defining folds
  16105. 2022-02-04 13:23:57,795:INFO:Declaring metric variables
  16106. 2022-02-04 13:23:57,799:INFO:Importing untrained model
  16107. 2022-02-04 13:23:57,805:INFO:Extreme Gradient Boosting Imported succesfully
  16108. 2022-02-04 13:23:57,817:INFO:Starting cross validation
  16109. 2022-02-04 13:23:57,818:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16110. 2022-02-04 13:23:59,549:INFO:Calculating mean and std
  16111. 2022-02-04 13:23:59,550:INFO:Creating metrics dataframe
  16112. 2022-02-04 13:23:59,558:INFO:Finalizing model
  16113. 2022-02-04 13:24:13,940:INFO:PyCaret Supervised Module
  16114. 2022-02-04 13:24:13,941:INFO:ML Usecase: classification
  16115. 2022-02-04 13:24:13,941:INFO:version 2.3.6
  16116. 2022-02-04 13:24:13,941:INFO:Initializing setup()
  16117. 2022-02-04 13:24:13,942:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  16118. 2022-02-04 13:24:13,942:INFO:Checking environment
  16119. 2022-02-04 13:24:13,942:INFO:python_version: 3.8.8
  16120. 2022-02-04 13:24:13,942:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  16121. 2022-02-04 13:24:13,942:INFO:machine: x86_64
  16122. 2022-02-04 13:24:13,942:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  16123. 2022-02-04 13:24:13,942:INFO:Memory: svmem(total=33619935232, available=29124751360, percent=13.4, used=3621883904, free=26880950272, active=592715776, inactive=5622235136, buffers=228737024, cached=2888364032, shared=444846080, slab=223514624)
  16124. 2022-02-04 13:24:13,943:INFO:Physical Core: 16
  16125. 2022-02-04 13:24:13,943:INFO:Logical Core: 32
  16126. 2022-02-04 13:24:13,943:INFO:Checking libraries
  16127. 2022-02-04 13:24:13,944:INFO:pd==1.2.4
  16128. 2022-02-04 13:24:13,944:INFO:numpy==1.19.5
  16129. 2022-02-04 13:24:13,944:INFO:sklearn==0.23.2
  16130. 2022-02-04 13:24:13,944:INFO:lightgbm==3.3.2
  16131. 2022-02-04 13:24:13,945:WARNING:catboost not found
  16132. 2022-02-04 13:24:13,945:INFO:xgboost==1.5.2
  16133. 2022-02-04 13:24:13,945:INFO:mlflow==1.22.0
  16134. 2022-02-04 13:24:13,945:INFO:Checking Exceptions
  16135. 2022-02-04 13:24:13,945:INFO:Declaring global variables
  16136. 2022-02-04 13:24:13,946:INFO:USI: af72
  16137. 2022-02-04 13:24:13,946:INFO:pycaret_globals: {'html_param', 'fold_shuffle_param', 'target_param', 'X_test', 'fix_imbalance_method_param', 'imputation_classifier', 'data_before_preprocess', 'y_test', 'y', 'X_train', 'prep_pipe', 'pycaret_globals', 'USI', 'master_model_container', 'create_model_container', '_all_metrics', '_gpu_n_jobs_param', 'y_train', '_ml_usecase', 'exp_name_log', '_available_plots', 'transform_target_param', '_all_models_internal', 'stratify_param', 'logging_param', 'imputation_regressor', 'fold_groups_param_full', 'display_container', 'n_jobs_param', 'experiment__', '_all_models', 'log_plots_param', 'fix_imbalance_param', 'fold_param', 'gpu_param', 'fold_groups_param', 'X', 'iterative_imputation_iters_param', 'seed', 'transform_target_method_param', 'fold_generator', '_internal_pipeline'}
  16138. 2022-02-04 13:24:13,946:INFO:Preparing display monitor
  16139. 2022-02-04 13:24:13,946:INFO:Preparing display monitor
  16140. 2022-02-04 13:24:13,953:INFO:Importing libraries
  16141. 2022-02-04 13:24:13,954:INFO:Copying data for preprocessing
  16142. 2022-02-04 13:24:13,963:INFO:Declaring preprocessing parameters
  16143. 2022-02-04 13:24:13,970:INFO:Creating preprocessing pipeline
  16144. 2022-02-04 13:24:14,078:INFO:Preprocessing pipeline created successfully
  16145. 2022-02-04 13:24:14,078:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  16146. 2022-02-04 13:24:14,079:INFO:Creating global containers
  16147. 2022-02-04 13:24:14,079:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  16148. 2022-02-04 13:24:16,488:WARNING:Couldn't import catboost.CatBoostClassifier
  16149. 2022-02-04 13:24:16,533:WARNING:Couldn't import catboost.CatBoostClassifier
  16150. 2022-02-04 13:24:16,534:INFO:Creating grid variables
  16151. 2022-02-04 13:24:16,544:INFO:create_model_container: 0
  16152. 2022-02-04 13:24:16,545:INFO:master_model_container: 0
  16153. 2022-02-04 13:24:16,545:INFO:display_container: 1
  16154. 2022-02-04 13:24:16,547:INFO:Pipeline(memory=None,
  16155. steps=[('dtypes',
  16156. DataTypes_Auto_infer(categorical_features=[],
  16157. display_types=True, features_todrop=[],
  16158. id_columns=[],
  16159. ml_usecase='classification',
  16160. numerical_features=[], target='label',
  16161. time_features=[])),
  16162. ('imputer',
  16163. Simple_Imputer(categorical_strategy='not_available',
  16164. fill_value_categorical=None,
  16165. fill_value_numerical=None,
  16166. numeric_strate...
  16167. target='label')),
  16168. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16169. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16170. ('dummy', Dummify(target='label')),
  16171. ('fix_perfect', Remove_100(target='label')),
  16172. ('clean_names', Clean_Colum_Names()),
  16173. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16174. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16175. verbose=False)
  16176. 2022-02-04 13:24:16,548:INFO:setup() succesfully completed......................................
  16177. 2022-02-04 13:24:19,470:INFO:Initializing create_model()
  16178. 2022-02-04 13:24:19,470:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  16179. 2022-02-04 13:24:19,470:INFO:Checking exceptions
  16180. 2022-02-04 13:24:19,470:INFO:Preparing display monitor
  16181. 2022-02-04 13:24:19,481:INFO:Importing libraries
  16182. 2022-02-04 13:24:19,481:INFO:Copying training dataset
  16183. 2022-02-04 13:24:19,482:INFO:Defining folds
  16184. 2022-02-04 13:24:19,482:INFO:Declaring metric variables
  16185. 2022-02-04 13:24:19,487:INFO:Importing untrained model
  16186. 2022-02-04 13:24:19,493:INFO:Extreme Gradient Boosting Imported succesfully
  16187. 2022-02-04 13:24:19,503:INFO:Starting cross validation
  16188. 2022-02-04 13:24:19,504:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  16189. 2022-02-04 13:32:39,897:INFO:Calculating mean and std
  16190. 2022-02-04 13:32:39,898:INFO:Creating metrics dataframe
  16191. 2022-02-04 13:32:39,907:INFO:Finalizing model
  16192. 2022-02-04 13:32:40,434:INFO:Uploading results into container
  16193. 2022-02-04 13:32:40,435:INFO:Uploading model into container now
  16194. 2022-02-04 13:32:40,446:INFO:create_model_container: 1
  16195. 2022-02-04 13:32:40,446:INFO:master_model_container: 1
  16196. 2022-02-04 13:32:40,446:INFO:display_container: 2
  16197. 2022-02-04 13:32:40,447:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16198. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16199. gamma=0, gpu_id=-1, importance_type=None,
  16200. interaction_constraints='', learning_rate=0.300000012,
  16201. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  16202. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  16203. num_parallel_tree=1, objective='binary:logistic',
  16204. predictor='auto', random_state=1638, reg_alpha=0, reg_lambda=1,
  16205. scale_pos_weight=1, subsample=1, tree_method='auto',
  16206. use_label_encoder=True, validate_parameters=1, verbosity=0)
  16207. 2022-02-04 13:32:40,448:INFO:create_model() succesfully completed......................................
  16208. 2022-02-04 14:56:39,483:INFO:PyCaret Supervised Module
  16209. 2022-02-04 14:56:39,484:INFO:ML Usecase: classification
  16210. 2022-02-04 14:56:39,484:INFO:version 2.3.6
  16211. 2022-02-04 14:56:39,484:INFO:Initializing setup()
  16212. 2022-02-04 14:56:39,484:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  16213. 2022-02-04 14:56:39,484:INFO:Checking environment
  16214. 2022-02-04 14:56:39,484:INFO:python_version: 3.8.12
  16215. 2022-02-04 14:56:39,484:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  16216. 2022-02-04 14:56:39,484:INFO:machine: AMD64
  16217. 2022-02-04 14:56:39,484:INFO:platform: Windows-10-10.0.22000-SP0
  16218. 2022-02-04 14:56:39,484:INFO:Memory: svmem(total=68629372928, available=45983227904, percent=33.0, used=22646145024, free=45983227904)
  16219. 2022-02-04 14:56:39,484:INFO:Physical Core: 16
  16220. 2022-02-04 14:56:39,484:INFO:Logical Core: 32
  16221. 2022-02-04 14:56:39,484:INFO:Checking libraries
  16222. 2022-02-04 14:56:39,484:INFO:pd==1.3.5
  16223. 2022-02-04 14:56:39,484:INFO:numpy==1.21.5
  16224. 2022-02-04 14:56:39,484:INFO:sklearn==0.23.2
  16225. 2022-02-04 14:56:39,485:INFO:lightgbm==3.3.2
  16226. 2022-02-04 14:56:39,675:INFO:catboost==1.0.4
  16227. 2022-02-04 14:56:39,983:INFO:xgboost==1.5.2
  16228. 2022-02-04 14:56:40,534:INFO:mlflow==1.23.1
  16229. 2022-02-04 14:56:40,534:INFO:Checking Exceptions
  16230. 2022-02-04 14:56:40,534:INFO:Declaring global variables
  16231. 2022-02-04 14:56:40,534:INFO:USI: afb4
  16232. 2022-02-04 14:56:40,535:INFO:pycaret_globals: {'log_plots_param', '_gpu_n_jobs_param', 'prep_pipe', 'fix_imbalance_method_param', '_ml_usecase', 'iterative_imputation_iters_param', 'USI', '_internal_pipeline', 'n_jobs_param', 'X_train', 'y_test', 'data_before_preprocess', 'X', 'stratify_param', '_all_models_internal', 'imputation_regressor', 'fix_imbalance_param', 'pycaret_globals', '_all_models', 'html_param', 'imputation_classifier', 'fold_generator', 'transform_target_param', 'target_param', 'y', 'fold_groups_param', 'create_model_container', 'X_test', 'fold_shuffle_param', 'logging_param', 'y_train', 'transform_target_method_param', 'gpu_param', '_available_plots', '_all_metrics', 'fold_param', 'experiment__', 'master_model_container', 'display_container', 'seed', 'fold_groups_param_full', 'exp_name_log'}
  16233. 2022-02-04 14:56:40,535:INFO:Preparing display monitor
  16234. 2022-02-04 14:56:40,535:INFO:Preparing display monitor
  16235. 2022-02-04 14:56:40,546:INFO:Importing libraries
  16236. 2022-02-04 14:56:40,546:INFO:Copying data for preprocessing
  16237. 2022-02-04 14:56:40,552:INFO:Declaring preprocessing parameters
  16238. 2022-02-04 14:56:40,553:WARNING:cuML not found
  16239. 2022-02-04 14:56:40,553:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  16240. 2022-02-04 14:56:40,559:INFO:Creating preprocessing pipeline
  16241. 2022-02-04 14:56:40,687:INFO:Preprocessing pipeline created successfully
  16242. 2022-02-04 14:56:40,687:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  16243. 2022-02-04 14:56:40,687:INFO:Creating global containers
  16244. 2022-02-04 14:56:40,688:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  16245. 2022-02-04 14:56:42,302:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  16246. 2022-02-04 14:56:42,335:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  16247. 2022-02-04 14:56:42,337:WARNING:Couldn't import cuml.MBSGDClassifier
  16248. 2022-02-04 14:56:42,338:WARNING:Couldn't import cuml.svm.SVC
  16249. 2022-02-04 14:56:42,358:WARNING:Couldn't import cuml.linear_model
  16250. 2022-02-04 14:56:42,363:WARNING:Couldn't import cuml.ensemble
  16251. 2022-02-04 14:56:45,062:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  16252. 2022-02-04 14:56:45,123:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  16253. 2022-02-04 14:56:45,124:WARNING:Couldn't import cuml.MBSGDClassifier
  16254. 2022-02-04 14:56:45,125:WARNING:Couldn't import cuml.svm.SVC
  16255. 2022-02-04 14:56:45,155:WARNING:Couldn't import cuml.linear_model
  16256. 2022-02-04 14:56:45,160:WARNING:Couldn't import cuml.ensemble
  16257. 2022-02-04 14:56:45,382:INFO:Creating grid variables
  16258. 2022-02-04 14:56:45,399:INFO:create_model_container: 0
  16259. 2022-02-04 14:56:45,399:INFO:master_model_container: 0
  16260. 2022-02-04 14:56:45,399:INFO:display_container: 1
  16261. 2022-02-04 14:56:45,406:INFO:Pipeline(memory=None,
  16262. steps=[('dtypes',
  16263. DataTypes_Auto_infer(categorical_features=[],
  16264. display_types=True, features_todrop=[],
  16265. id_columns=[],
  16266. ml_usecase='classification',
  16267. numerical_features=[], target='label',
  16268. time_features=[])),
  16269. ('imputer',
  16270. Simple_Imputer(categorical_strategy='not_available',
  16271. fill_value_categorical=None,
  16272. fill_value_numerical=None,
  16273. numeric_strate...
  16274. target='label')),
  16275. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16276. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16277. ('dummy', Dummify(target='label')),
  16278. ('fix_perfect', Remove_100(target='label')),
  16279. ('clean_names', Clean_Colum_Names()),
  16280. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16281. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16282. verbose=False)
  16283. 2022-02-04 14:56:45,406:INFO:setup() succesfully completed......................................
  16284. 2022-02-04 14:56:53,408:INFO:Initializing create_model()
  16285. 2022-02-04 14:56:53,408:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  16286. 2022-02-04 14:56:53,409:INFO:Checking exceptions
  16287. 2022-02-04 14:56:53,409:INFO:Preparing display monitor
  16288. 2022-02-04 14:56:53,419:INFO:Importing libraries
  16289. 2022-02-04 14:56:53,419:INFO:Copying training dataset
  16290. 2022-02-04 14:56:53,420:INFO:Defining folds
  16291. 2022-02-04 14:56:53,421:INFO:Declaring metric variables
  16292. 2022-02-04 14:56:53,425:INFO:Importing untrained model
  16293. 2022-02-04 14:56:53,430:INFO:Extreme Gradient Boosting Imported succesfully
  16294. 2022-02-04 14:56:53,440:INFO:Starting cross validation
  16295. 2022-02-04 14:56:53,441:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16296. 2022-02-04 14:57:44,023:INFO:Calculating mean and std
  16297. 2022-02-04 14:57:44,024:INFO:Creating metrics dataframe
  16298. 2022-02-04 14:57:44,034:INFO:Finalizing model
  16299. 2022-02-04 14:57:44,521:INFO:Uploading results into container
  16300. 2022-02-04 14:57:44,521:INFO:Uploading model into container now
  16301. 2022-02-04 14:57:44,529:INFO:create_model_container: 1
  16302. 2022-02-04 14:57:44,529:INFO:master_model_container: 1
  16303. 2022-02-04 14:57:44,529:INFO:display_container: 2
  16304. 2022-02-04 14:57:44,531:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16305. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16306. gamma=0, gpu_id=0, importance_type=None,
  16307. interaction_constraints='', learning_rate=0.300000012,
  16308. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  16309. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  16310. num_parallel_tree=1, objective='binary:logistic',
  16311. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  16312. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  16313. use_label_encoder=True, validate_parameters=1, verbosity=0)
  16314. 2022-02-04 14:57:44,531:INFO:create_model() succesfully completed......................................
  16315. 2022-02-04 14:57:56,245:INFO:Initializing tune_model()
  16316. 2022-02-04 14:57:56,246:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16317. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16318. gamma=0, gpu_id=0, importance_type=None,
  16319. interaction_constraints='', learning_rate=0.300000012,
  16320. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  16321. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  16322. num_parallel_tree=1, objective='binary:logistic',
  16323. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  16324. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  16325. use_label_encoder=True, validate_parameters=1, verbosity=0), fold=None, round=4, n_iter=10, custom_grid=None, optimize=Kappa, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  16326. 2022-02-04 14:57:56,246:INFO:Checking exceptions
  16327. 2022-02-04 14:57:56,247:INFO:Preparing display monitor
  16328. 2022-02-04 14:57:56,257:INFO:Copying training dataset
  16329. 2022-02-04 14:57:56,258:INFO:Checking base model
  16330. 2022-02-04 14:57:56,258:INFO:Base model : Extreme Gradient Boosting
  16331. 2022-02-04 14:57:56,265:INFO:Declaring metric variables
  16332. 2022-02-04 14:57:56,270:INFO:Defining Hyperparameters
  16333. 2022-02-04 14:57:56,367:INFO:Tuning with n_jobs=1
  16334. 2022-02-04 14:57:56,367:INFO:Initializing RandomizedSearchCV
  16335. 2022-02-04 14:59:13,394:INFO:best_params: {'actual_estimator__subsample': 0.2, 'actual_estimator__scale_pos_weight': 38.400000000000006, 'actual_estimator__reg_lambda': 0.15, 'actual_estimator__reg_alpha': 3, 'actual_estimator__n_estimators': 200, 'actual_estimator__min_child_weight': 1, 'actual_estimator__max_depth': 7, 'actual_estimator__learning_rate': 0.3, 'actual_estimator__colsample_bytree': 1}
  16336. 2022-02-04 14:59:13,395:INFO:Hyperparameter search completed
  16337. 2022-02-04 14:59:13,395:INFO:SubProcess create_model() called ==================================
  16338. 2022-02-04 14:59:13,396:INFO:Initializing create_model()
  16339. 2022-02-04 14:59:13,396:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16340. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16341. gamma=0, gpu_id=0, importance_type=None,
  16342. interaction_constraints='', learning_rate=0.300000012,
  16343. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  16344. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  16345. num_parallel_tree=1, objective='binary:logistic',
  16346. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  16347. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  16348. use_label_encoder=True, validate_parameters=1, verbosity=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A48EE6520>, kwargs={'subsample': 0.2, 'scale_pos_weight': 38.400000000000006, 'reg_lambda': 0.15, 'reg_alpha': 3, 'n_estimators': 200, 'min_child_weight': 1, 'max_depth': 7, 'learning_rate': 0.3, 'colsample_bytree': 1})
  16349. 2022-02-04 14:59:13,396:INFO:Checking exceptions
  16350. 2022-02-04 14:59:13,396:INFO:Importing libraries
  16351. 2022-02-04 14:59:13,396:INFO:Copying training dataset
  16352. 2022-02-04 14:59:13,397:INFO:Defining folds
  16353. 2022-02-04 14:59:13,397:INFO:Declaring metric variables
  16354. 2022-02-04 14:59:13,404:INFO:Importing untrained model
  16355. 2022-02-04 14:59:13,404:INFO:Declaring custom model
  16356. 2022-02-04 14:59:13,412:INFO:Extreme Gradient Boosting Imported succesfully
  16357. 2022-02-04 14:59:13,425:INFO:Starting cross validation
  16358. 2022-02-04 14:59:13,426:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16359. 2022-02-04 14:59:29,670:INFO:Calculating mean and std
  16360. 2022-02-04 14:59:29,671:INFO:Creating metrics dataframe
  16361. 2022-02-04 14:59:29,681:INFO:Finalizing model
  16362. 2022-02-04 14:59:31,288:INFO:Uploading results into container
  16363. 2022-02-04 14:59:31,288:INFO:Uploading model into container now
  16364. 2022-02-04 14:59:31,288:INFO:create_model_container: 2
  16365. 2022-02-04 14:59:31,288:INFO:master_model_container: 2
  16366. 2022-02-04 14:59:31,288:INFO:display_container: 3
  16367. 2022-02-04 14:59:31,289:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16368. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16369. gamma=0, gpu_id=0, importance_type=None,
  16370. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16371. max_depth=7, min_child_weight=1, missing=nan,
  16372. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16373. num_parallel_tree=1, objective='binary:logistic',
  16374. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16375. scale_pos_weight=38.400000000000006, subsample=0.2,
  16376. tree_method='gpu_hist', use_label_encoder=True,
  16377. validate_parameters=1, verbosity=0)
  16378. 2022-02-04 14:59:31,289:INFO:create_model() succesfully completed......................................
  16379. 2022-02-04 14:59:31,383:INFO:SubProcess create_model() end ==================================
  16380. 2022-02-04 14:59:31,391:INFO:create_model_container: 2
  16381. 2022-02-04 14:59:31,391:INFO:master_model_container: 2
  16382. 2022-02-04 14:59:31,391:INFO:display_container: 3
  16383. 2022-02-04 14:59:31,392:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16384. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16385. gamma=0, gpu_id=0, importance_type=None,
  16386. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16387. max_depth=7, min_child_weight=1, missing=nan,
  16388. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16389. num_parallel_tree=1, objective='binary:logistic',
  16390. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16391. scale_pos_weight=38.400000000000006, subsample=0.2,
  16392. tree_method='gpu_hist', use_label_encoder=True,
  16393. validate_parameters=1, verbosity=0)
  16394. 2022-02-04 14:59:31,392:INFO:tune_model() succesfully completed......................................
  16395. 2022-02-04 15:00:22,756:INFO:Initializing evaluate_model()
  16396. 2022-02-04 15:00:22,756:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16397. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16398. gamma=0, gpu_id=0, importance_type=None,
  16399. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16400. max_depth=7, min_child_weight=1, missing=nan,
  16401. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16402. num_parallel_tree=1, objective='binary:logistic',
  16403. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16404. scale_pos_weight=38.400000000000006, subsample=0.2,
  16405. tree_method='gpu_hist', use_label_encoder=True,
  16406. validate_parameters=1, verbosity=0), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  16407. 2022-02-04 15:00:22,770:INFO:Initializing plot_model()
  16408. 2022-02-04 15:00:22,770:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16409. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16410. gamma=0, gpu_id=0, importance_type=None,
  16411. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16412. max_depth=7, min_child_weight=1, missing=nan,
  16413. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16414. num_parallel_tree=1, objective='binary:logistic',
  16415. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16416. scale_pos_weight=38.400000000000006, subsample=0.2,
  16417. tree_method='gpu_hist', use_label_encoder=True,
  16418. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  16419. 2022-02-04 15:00:22,770:INFO:Checking exceptions
  16420. 2022-02-04 15:00:22,772:INFO:Preparing display monitor
  16421. 2022-02-04 15:00:22,776:INFO:Preloading libraries
  16422. 2022-02-04 15:00:22,834:INFO:Copying training dataset
  16423. 2022-02-04 15:00:22,835:INFO:Copying test dataset
  16424. 2022-02-04 15:00:22,835:INFO:Plot type: parameter
  16425. 2022-02-04 15:00:22,843:INFO:Visual Rendered Successfully
  16426. 2022-02-04 15:00:22,946:INFO:plot_model() succesfully completed......................................
  16427. 2022-02-04 15:00:26,885:INFO:Initializing plot_model()
  16428. 2022-02-04 15:00:26,885:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16429. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16430. gamma=0, gpu_id=0, importance_type=None,
  16431. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16432. max_depth=7, min_child_weight=1, missing=nan,
  16433. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16434. num_parallel_tree=1, objective='binary:logistic',
  16435. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16436. scale_pos_weight=38.400000000000006, subsample=0.2,
  16437. tree_method='gpu_hist', use_label_encoder=True,
  16438. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  16439. 2022-02-04 15:00:26,885:INFO:Checking exceptions
  16440. 2022-02-04 15:00:26,886:INFO:Preparing display monitor
  16441. 2022-02-04 15:00:26,890:INFO:Preloading libraries
  16442. 2022-02-04 15:00:26,946:INFO:Copying training dataset
  16443. 2022-02-04 15:00:26,947:INFO:Copying test dataset
  16444. 2022-02-04 15:00:26,947:INFO:Plot type: auc
  16445. 2022-02-04 15:00:26,950:INFO:Initializing get_config()
  16446. 2022-02-04 15:00:26,950:INFO:get_config(variable=prep_pipe)
  16447. 2022-02-04 15:00:26,954:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  16448. steps=[('dtypes',
  16449. DataTypes_Auto_infer(categorical_features=[],
  16450. display_types=True, features_todrop=[],
  16451. id_columns=[],
  16452. ml_usecase='classification',
  16453. numerical_features=[], target='label',
  16454. time_features=[])),
  16455. ('imputer',
  16456. Simple_Imputer(categorical_strategy='not_available',
  16457. fill_value_categorical=None,
  16458. fill_value_numerical=None,
  16459. numeric_strate...
  16460. target='label')),
  16461. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16462. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16463. ('dummy', Dummify(target='label')),
  16464. ('fix_perfect', Remove_100(target='label')),
  16465. ('clean_names', Clean_Colum_Names()),
  16466. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16467. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16468. verbose=False)
  16469. 2022-02-04 15:00:26,954:INFO:get_config() succesfully completed......................................
  16470. 2022-02-04 15:00:26,966:INFO:Fitting Model
  16471. 2022-02-04 15:00:26,967:INFO:Scoring test/hold-out set
  16472. 2022-02-04 15:00:27,133:INFO:Visual Rendered Successfully
  16473. 2022-02-04 15:00:27,226:INFO:plot_model() succesfully completed......................................
  16474. 2022-02-04 15:00:29,437:INFO:Initializing plot_model()
  16475. 2022-02-04 15:00:29,437:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16476. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16477. gamma=0, gpu_id=0, importance_type=None,
  16478. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16479. max_depth=7, min_child_weight=1, missing=nan,
  16480. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16481. num_parallel_tree=1, objective='binary:logistic',
  16482. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16483. scale_pos_weight=38.400000000000006, subsample=0.2,
  16484. tree_method='gpu_hist', use_label_encoder=True,
  16485. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  16486. 2022-02-04 15:00:29,437:INFO:Checking exceptions
  16487. 2022-02-04 15:00:29,439:INFO:Preparing display monitor
  16488. 2022-02-04 15:00:29,443:INFO:Preloading libraries
  16489. 2022-02-04 15:00:29,498:INFO:Copying training dataset
  16490. 2022-02-04 15:00:29,499:INFO:Copying test dataset
  16491. 2022-02-04 15:00:29,499:INFO:Plot type: confusion_matrix
  16492. 2022-02-04 15:00:29,503:INFO:Initializing get_config()
  16493. 2022-02-04 15:00:29,503:INFO:get_config(variable=prep_pipe)
  16494. 2022-02-04 15:00:29,506:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  16495. steps=[('dtypes',
  16496. DataTypes_Auto_infer(categorical_features=[],
  16497. display_types=True, features_todrop=[],
  16498. id_columns=[],
  16499. ml_usecase='classification',
  16500. numerical_features=[], target='label',
  16501. time_features=[])),
  16502. ('imputer',
  16503. Simple_Imputer(categorical_strategy='not_available',
  16504. fill_value_categorical=None,
  16505. fill_value_numerical=None,
  16506. numeric_strate...
  16507. target='label')),
  16508. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16509. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16510. ('dummy', Dummify(target='label')),
  16511. ('fix_perfect', Remove_100(target='label')),
  16512. ('clean_names', Clean_Colum_Names()),
  16513. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16514. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16515. verbose=False)
  16516. 2022-02-04 15:00:29,506:INFO:get_config() succesfully completed......................................
  16517. 2022-02-04 15:00:29,515:INFO:Fitting Model
  16518. 2022-02-04 15:00:29,516:INFO:Scoring test/hold-out set
  16519. 2022-02-04 15:00:29,660:INFO:Visual Rendered Successfully
  16520. 2022-02-04 15:00:29,758:INFO:plot_model() succesfully completed......................................
  16521. 2022-02-04 15:00:31,562:INFO:Initializing plot_model()
  16522. 2022-02-04 15:00:31,562:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16523. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16524. gamma=0, gpu_id=0, importance_type=None,
  16525. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16526. max_depth=7, min_child_weight=1, missing=nan,
  16527. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16528. num_parallel_tree=1, objective='binary:logistic',
  16529. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16530. scale_pos_weight=38.400000000000006, subsample=0.2,
  16531. tree_method='gpu_hist', use_label_encoder=True,
  16532. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
  16533. 2022-02-04 15:00:31,562:INFO:Checking exceptions
  16534. 2022-02-04 15:00:31,563:INFO:Preparing display monitor
  16535. 2022-02-04 15:00:31,567:INFO:Preloading libraries
  16536. 2022-02-04 15:00:31,624:INFO:Copying training dataset
  16537. 2022-02-04 15:00:31,624:INFO:Copying test dataset
  16538. 2022-02-04 15:00:31,625:INFO:Plot type: threshold
  16539. 2022-02-04 15:00:31,636:INFO:Fitting Model
  16540. 2022-02-04 15:01:50,474:INFO:Scoring test/hold-out set
  16541. 2022-02-04 15:01:50,804:INFO:Visual Rendered Successfully
  16542. 2022-02-04 15:01:50,901:INFO:plot_model() succesfully completed......................................
  16543. 2022-02-04 15:02:39,447:INFO:Initializing plot_model()
  16544. 2022-02-04 15:02:39,447:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16545. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16546. gamma=0, gpu_id=0, importance_type=None,
  16547. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16548. max_depth=7, min_child_weight=1, missing=nan,
  16549. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16550. num_parallel_tree=1, objective='binary:logistic',
  16551. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16552. scale_pos_weight=38.400000000000006, subsample=0.2,
  16553. tree_method='gpu_hist', use_label_encoder=True,
  16554. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  16555. 2022-02-04 15:02:39,447:INFO:Checking exceptions
  16556. 2022-02-04 15:02:39,448:INFO:Preparing display monitor
  16557. 2022-02-04 15:02:39,452:INFO:Preloading libraries
  16558. 2022-02-04 15:02:39,509:INFO:Copying training dataset
  16559. 2022-02-04 15:02:39,510:INFO:Copying test dataset
  16560. 2022-02-04 15:02:39,510:INFO:Plot type: pr
  16561. 2022-02-04 15:02:39,521:INFO:Fitting Model
  16562. 2022-02-04 15:02:39,523:INFO:Scoring test/hold-out set
  16563. 2022-02-04 15:02:39,663:INFO:Visual Rendered Successfully
  16564. 2022-02-04 15:02:39,761:INFO:plot_model() succesfully completed......................................
  16565. 2022-02-04 15:02:43,303:INFO:Initializing plot_model()
  16566. 2022-02-04 15:02:43,303:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16567. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16568. gamma=0, gpu_id=0, importance_type=None,
  16569. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16570. max_depth=7, min_child_weight=1, missing=nan,
  16571. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16572. num_parallel_tree=1, objective='binary:logistic',
  16573. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16574. scale_pos_weight=38.400000000000006, subsample=0.2,
  16575. tree_method='gpu_hist', use_label_encoder=True,
  16576. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  16577. 2022-02-04 15:02:43,303:INFO:Checking exceptions
  16578. 2022-02-04 15:02:43,304:INFO:Preparing display monitor
  16579. 2022-02-04 15:02:43,308:INFO:Preloading libraries
  16580. 2022-02-04 15:02:43,364:INFO:Copying training dataset
  16581. 2022-02-04 15:02:43,365:INFO:Copying test dataset
  16582. 2022-02-04 15:02:43,366:INFO:Plot type: error
  16583. 2022-02-04 15:02:43,369:INFO:Initializing get_config()
  16584. 2022-02-04 15:02:43,369:INFO:get_config(variable=prep_pipe)
  16585. 2022-02-04 15:02:43,372:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  16586. steps=[('dtypes',
  16587. DataTypes_Auto_infer(categorical_features=[],
  16588. display_types=True, features_todrop=[],
  16589. id_columns=[],
  16590. ml_usecase='classification',
  16591. numerical_features=[], target='label',
  16592. time_features=[])),
  16593. ('imputer',
  16594. Simple_Imputer(categorical_strategy='not_available',
  16595. fill_value_categorical=None,
  16596. fill_value_numerical=None,
  16597. numeric_strate...
  16598. target='label')),
  16599. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16600. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16601. ('dummy', Dummify(target='label')),
  16602. ('fix_perfect', Remove_100(target='label')),
  16603. ('clean_names', Clean_Colum_Names()),
  16604. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16605. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16606. verbose=False)
  16607. 2022-02-04 15:02:43,372:INFO:get_config() succesfully completed......................................
  16608. 2022-02-04 15:02:43,380:INFO:Fitting Model
  16609. 2022-02-04 15:02:43,382:INFO:Scoring test/hold-out set
  16610. 2022-02-04 15:02:43,517:INFO:Visual Rendered Successfully
  16611. 2022-02-04 15:02:43,618:INFO:plot_model() succesfully completed......................................
  16612. 2022-02-04 15:03:07,546:INFO:Initializing plot_model()
  16613. 2022-02-04 15:03:07,546:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16614. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16615. gamma=0, gpu_id=0, importance_type=None,
  16616. interaction_constraints='', learning_rate=0.3, max_delta_step=0,
  16617. max_depth=7, min_child_weight=1, missing=nan,
  16618. monotone_constraints='()', n_estimators=200, n_jobs=-1,
  16619. num_parallel_tree=1, objective='binary:logistic',
  16620. predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
  16621. scale_pos_weight=38.400000000000006, subsample=0.2,
  16622. tree_method='gpu_hist', use_label_encoder=True,
  16623. validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  16624. 2022-02-04 15:03:07,546:INFO:Checking exceptions
  16625. 2022-02-04 15:03:07,548:INFO:Preparing display monitor
  16626. 2022-02-04 15:03:07,553:INFO:Preloading libraries
  16627. 2022-02-04 15:03:07,611:INFO:Copying training dataset
  16628. 2022-02-04 15:03:07,612:INFO:Copying test dataset
  16629. 2022-02-04 15:03:07,612:INFO:Plot type: class_report
  16630. 2022-02-04 15:03:07,616:INFO:Initializing get_config()
  16631. 2022-02-04 15:03:07,616:INFO:get_config(variable=prep_pipe)
  16632. 2022-02-04 15:03:07,619:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  16633. steps=[('dtypes',
  16634. DataTypes_Auto_infer(categorical_features=[],
  16635. display_types=True, features_todrop=[],
  16636. id_columns=[],
  16637. ml_usecase='classification',
  16638. numerical_features=[], target='label',
  16639. time_features=[])),
  16640. ('imputer',
  16641. Simple_Imputer(categorical_strategy='not_available',
  16642. fill_value_categorical=None,
  16643. fill_value_numerical=None,
  16644. numeric_strate...
  16645. target='label')),
  16646. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  16647. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  16648. ('dummy', Dummify(target='label')),
  16649. ('fix_perfect', Remove_100(target='label')),
  16650. ('clean_names', Clean_Colum_Names()),
  16651. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  16652. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  16653. verbose=False)
  16654. 2022-02-04 15:03:07,619:INFO:get_config() succesfully completed......................................
  16655. 2022-02-04 15:03:07,629:INFO:Fitting Model
  16656. 2022-02-04 15:03:07,630:INFO:Scoring test/hold-out set
  16657. 2022-02-04 15:03:07,803:INFO:Visual Rendered Successfully
  16658. 2022-02-04 15:03:07,910:INFO:plot_model() succesfully completed......................................
  16659. 2022-02-04 15:03:34,192:INFO:Initializing create_model()
  16660. 2022-02-04 15:03:34,192:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  16661. 2022-02-04 15:03:34,193:INFO:Checking exceptions
  16662. 2022-02-04 15:03:34,193:INFO:Preparing display monitor
  16663. 2022-02-04 15:03:34,204:INFO:Importing libraries
  16664. 2022-02-04 15:03:34,204:INFO:Copying training dataset
  16665. 2022-02-04 15:03:34,205:INFO:Defining folds
  16666. 2022-02-04 15:03:34,205:INFO:Declaring metric variables
  16667. 2022-02-04 15:03:34,209:INFO:Importing untrained model
  16668. 2022-02-04 15:03:34,215:INFO:Extreme Gradient Boosting Imported succesfully
  16669. 2022-02-04 15:03:34,224:INFO:Starting cross validation
  16670. 2022-02-04 15:03:34,225:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16671. 2022-02-04 15:04:13,863:INFO:Calculating mean and std
  16672. 2022-02-04 15:04:13,864:INFO:Creating metrics dataframe
  16673. 2022-02-04 15:04:13,873:INFO:Finalizing model
  16674. 2022-02-04 15:04:18,573:INFO:Uploading results into container
  16675. 2022-02-04 15:04:18,573:INFO:Uploading model into container now
  16676. 2022-02-04 15:04:18,581:INFO:create_model_container: 3
  16677. 2022-02-04 15:04:18,581:INFO:master_model_container: 3
  16678. 2022-02-04 15:04:18,582:INFO:display_container: 4
  16679. 2022-02-04 15:04:18,583:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  16680. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  16681. gamma=0, gpu_id=0, importance_type=None,
  16682. interaction_constraints='', learning_rate=0.300000012,
  16683. max_delta_step=0, max_depth=16, max_leaves=255,
  16684. min_child_weight=1, missing=nan, monotone_constraints='()',
  16685. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  16686. objective='binary:logistic', predictor='auto', random_state=4409,
  16687. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  16688. tree_method='gpu_hist', use_label_encoder=True,
  16689. validate_parameters=1, ...)
  16690. 2022-02-04 15:04:18,583:INFO:create_model() succesfully completed......................................
  16691. 2022-02-04 15:05:46,592:INFO:Initializing compare_models()
  16692. 2022-02-04 15:05:46,592:INFO:compare_models(include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=6, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, probability_threshold=None, verbose=True, display=None, exclude=None)
  16693. 2022-02-04 15:05:46,592:INFO:Checking exceptions
  16694. 2022-02-04 15:05:46,593:INFO:Preparing display monitor
  16695. 2022-02-04 15:05:46,593:INFO:Preparing display monitor
  16696. 2022-02-04 15:05:46,610:INFO:Initializing Logistic Regression
  16697. 2022-02-04 15:05:46,610:INFO:Total runtime is 0.0 minutes
  16698. 2022-02-04 15:05:46,615:INFO:SubProcess create_model() called ==================================
  16699. 2022-02-04 15:05:46,615:INFO:Initializing create_model()
  16700. 2022-02-04 15:05:46,616:INFO:create_model(estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16701. 2022-02-04 15:05:46,616:INFO:Checking exceptions
  16702. 2022-02-04 15:05:46,616:INFO:Importing libraries
  16703. 2022-02-04 15:05:46,616:INFO:Copying training dataset
  16704. 2022-02-04 15:05:46,617:INFO:Defining folds
  16705. 2022-02-04 15:05:46,617:INFO:Declaring metric variables
  16706. 2022-02-04 15:05:46,621:INFO:Importing untrained model
  16707. 2022-02-04 15:05:46,626:INFO:Logistic Regression Imported succesfully
  16708. 2022-02-04 15:05:46,638:INFO:Starting cross validation
  16709. 2022-02-04 15:05:46,638:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16710. 2022-02-04 15:05:47,871:INFO:Calculating mean and std
  16711. 2022-02-04 15:05:47,872:INFO:Creating metrics dataframe
  16712. 2022-02-04 15:05:47,876:INFO:Uploading results into container
  16713. 2022-02-04 15:05:47,876:INFO:Uploading model into container now
  16714. 2022-02-04 15:05:47,876:INFO:create_model_container: 4
  16715. 2022-02-04 15:05:47,877:INFO:master_model_container: 4
  16716. 2022-02-04 15:05:47,877:INFO:display_container: 5
  16717. 2022-02-04 15:05:47,877:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
  16718. intercept_scaling=1, l1_ratio=None, max_iter=1000,
  16719. multi_class='auto', n_jobs=None, penalty='l2',
  16720. random_state=4409, solver='lbfgs', tol=0.0001, verbose=0,
  16721. warm_start=False)
  16722. 2022-02-04 15:05:47,877:INFO:create_model() succesfully completed......................................
  16723. 2022-02-04 15:05:47,972:INFO:SubProcess create_model() end ==================================
  16724. 2022-02-04 15:05:47,972:INFO:Creating metrics dataframe
  16725. 2022-02-04 15:05:47,982:INFO:Initializing K Neighbors Classifier
  16726. 2022-02-04 15:05:47,982:INFO:Total runtime is 0.022866658369700112 minutes
  16727. 2022-02-04 15:05:47,987:INFO:SubProcess create_model() called ==================================
  16728. 2022-02-04 15:05:47,987:INFO:Initializing create_model()
  16729. 2022-02-04 15:05:47,987:INFO:create_model(estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16730. 2022-02-04 15:05:47,988:INFO:Checking exceptions
  16731. 2022-02-04 15:05:47,988:INFO:Importing libraries
  16732. 2022-02-04 15:05:47,988:INFO:Copying training dataset
  16733. 2022-02-04 15:05:47,989:INFO:Defining folds
  16734. 2022-02-04 15:05:47,989:INFO:Declaring metric variables
  16735. 2022-02-04 15:05:47,994:INFO:Importing untrained model
  16736. 2022-02-04 15:05:47,999:INFO:K Neighbors Classifier Imported succesfully
  16737. 2022-02-04 15:05:48,008:INFO:Starting cross validation
  16738. 2022-02-04 15:05:48,008:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16739. 2022-02-04 15:06:07,415:INFO:Calculating mean and std
  16740. 2022-02-04 15:06:07,416:INFO:Creating metrics dataframe
  16741. 2022-02-04 15:06:07,418:INFO:Uploading results into container
  16742. 2022-02-04 15:06:07,418:INFO:Uploading model into container now
  16743. 2022-02-04 15:06:07,418:INFO:create_model_container: 5
  16744. 2022-02-04 15:06:07,418:INFO:master_model_container: 5
  16745. 2022-02-04 15:06:07,419:INFO:display_container: 5
  16746. 2022-02-04 15:06:07,419:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
  16747. metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
  16748. weights='uniform')
  16749. 2022-02-04 15:06:07,419:INFO:create_model() succesfully completed......................................
  16750. 2022-02-04 15:06:07,516:INFO:SubProcess create_model() end ==================================
  16751. 2022-02-04 15:06:07,516:INFO:Creating metrics dataframe
  16752. 2022-02-04 15:06:07,527:INFO:Initializing Naive Bayes
  16753. 2022-02-04 15:06:07,527:INFO:Total runtime is 0.3486156860987345 minutes
  16754. 2022-02-04 15:06:07,532:INFO:SubProcess create_model() called ==================================
  16755. 2022-02-04 15:06:07,533:INFO:Initializing create_model()
  16756. 2022-02-04 15:06:07,533:INFO:create_model(estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16757. 2022-02-04 15:06:07,533:INFO:Checking exceptions
  16758. 2022-02-04 15:06:07,533:INFO:Importing libraries
  16759. 2022-02-04 15:06:07,533:INFO:Copying training dataset
  16760. 2022-02-04 15:06:07,534:INFO:Defining folds
  16761. 2022-02-04 15:06:07,534:INFO:Declaring metric variables
  16762. 2022-02-04 15:06:07,538:INFO:Importing untrained model
  16763. 2022-02-04 15:06:07,543:INFO:Naive Bayes Imported succesfully
  16764. 2022-02-04 15:06:07,552:INFO:Starting cross validation
  16765. 2022-02-04 15:06:07,553:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16766. 2022-02-04 15:06:07,770:INFO:Calculating mean and std
  16767. 2022-02-04 15:06:07,771:INFO:Creating metrics dataframe
  16768. 2022-02-04 15:06:07,774:INFO:Uploading results into container
  16769. 2022-02-04 15:06:07,774:INFO:Uploading model into container now
  16770. 2022-02-04 15:06:07,774:INFO:create_model_container: 6
  16771. 2022-02-04 15:06:07,774:INFO:master_model_container: 6
  16772. 2022-02-04 15:06:07,774:INFO:display_container: 5
  16773. 2022-02-04 15:06:07,774:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
  16774. 2022-02-04 15:06:07,774:INFO:create_model() succesfully completed......................................
  16775. 2022-02-04 15:06:07,871:INFO:SubProcess create_model() end ==================================
  16776. 2022-02-04 15:06:07,871:INFO:Creating metrics dataframe
  16777. 2022-02-04 15:06:07,881:INFO:Initializing Decision Tree Classifier
  16778. 2022-02-04 15:06:07,881:INFO:Total runtime is 0.35451567173004145 minutes
  16779. 2022-02-04 15:06:07,886:INFO:SubProcess create_model() called ==================================
  16780. 2022-02-04 15:06:07,886:INFO:Initializing create_model()
  16781. 2022-02-04 15:06:07,886:INFO:create_model(estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16782. 2022-02-04 15:06:07,887:INFO:Checking exceptions
  16783. 2022-02-04 15:06:07,887:INFO:Importing libraries
  16784. 2022-02-04 15:06:07,887:INFO:Copying training dataset
  16785. 2022-02-04 15:06:07,888:INFO:Defining folds
  16786. 2022-02-04 15:06:07,888:INFO:Declaring metric variables
  16787. 2022-02-04 15:06:07,894:INFO:Importing untrained model
  16788. 2022-02-04 15:06:07,899:INFO:Decision Tree Classifier Imported succesfully
  16789. 2022-02-04 15:06:07,909:INFO:Starting cross validation
  16790. 2022-02-04 15:06:07,910:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16791. 2022-02-04 15:06:08,821:INFO:Calculating mean and std
  16792. 2022-02-04 15:06:08,822:INFO:Creating metrics dataframe
  16793. 2022-02-04 15:06:08,825:INFO:Uploading results into container
  16794. 2022-02-04 15:06:08,825:INFO:Uploading model into container now
  16795. 2022-02-04 15:06:08,825:INFO:create_model_container: 7
  16796. 2022-02-04 15:06:08,825:INFO:master_model_container: 7
  16797. 2022-02-04 15:06:08,825:INFO:display_container: 5
  16798. 2022-02-04 15:06:08,825:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  16799. max_depth=None, max_features=None, max_leaf_nodes=None,
  16800. min_impurity_decrease=0.0, min_impurity_split=None,
  16801. min_samples_leaf=1, min_samples_split=2,
  16802. min_weight_fraction_leaf=0.0, presort='deprecated',
  16803. random_state=4409, splitter='best')
  16804. 2022-02-04 15:06:08,825:INFO:create_model() succesfully completed......................................
  16805. 2022-02-04 15:06:08,923:INFO:SubProcess create_model() end ==================================
  16806. 2022-02-04 15:06:08,923:INFO:Creating metrics dataframe
  16807. 2022-02-04 15:06:08,934:INFO:Initializing SVM - Linear Kernel
  16808. 2022-02-04 15:06:08,934:INFO:Total runtime is 0.3720656991004943 minutes
  16809. 2022-02-04 15:06:08,939:INFO:SubProcess create_model() called ==================================
  16810. 2022-02-04 15:06:08,939:INFO:Initializing create_model()
  16811. 2022-02-04 15:06:08,939:INFO:create_model(estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16812. 2022-02-04 15:06:08,939:INFO:Checking exceptions
  16813. 2022-02-04 15:06:08,940:INFO:Importing libraries
  16814. 2022-02-04 15:06:08,940:INFO:Copying training dataset
  16815. 2022-02-04 15:06:08,940:INFO:Defining folds
  16816. 2022-02-04 15:06:08,941:INFO:Declaring metric variables
  16817. 2022-02-04 15:06:08,945:INFO:Importing untrained model
  16818. 2022-02-04 15:06:08,950:INFO:SVM - Linear Kernel Imported succesfully
  16819. 2022-02-04 15:06:08,960:INFO:Starting cross validation
  16820. 2022-02-04 15:06:08,960:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16821. 2022-02-04 15:06:09,595:INFO:Calculating mean and std
  16822. 2022-02-04 15:06:09,595:INFO:Creating metrics dataframe
  16823. 2022-02-04 15:06:09,598:INFO:Uploading results into container
  16824. 2022-02-04 15:06:09,598:INFO:Uploading model into container now
  16825. 2022-02-04 15:06:09,598:INFO:create_model_container: 8
  16826. 2022-02-04 15:06:09,598:INFO:master_model_container: 8
  16827. 2022-02-04 15:06:09,598:INFO:display_container: 5
  16828. 2022-02-04 15:06:09,599:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
  16829. early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
  16830. l1_ratio=0.15, learning_rate='optimal', loss='hinge',
  16831. max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
  16832. power_t=0.5, random_state=4409, shuffle=True, tol=0.001,
  16833. validation_fraction=0.1, verbose=0, warm_start=False)
  16834. 2022-02-04 15:06:09,599:INFO:create_model() succesfully completed......................................
  16835. 2022-02-04 15:06:09,692:INFO:SubProcess create_model() end ==================================
  16836. 2022-02-04 15:06:09,692:INFO:Creating metrics dataframe
  16837. 2022-02-04 15:06:09,703:INFO:Initializing Ridge Classifier
  16838. 2022-02-04 15:06:09,703:INFO:Total runtime is 0.384882374604543 minutes
  16839. 2022-02-04 15:06:09,708:INFO:SubProcess create_model() called ==================================
  16840. 2022-02-04 15:06:09,708:INFO:Initializing create_model()
  16841. 2022-02-04 15:06:09,708:INFO:create_model(estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16842. 2022-02-04 15:06:09,708:INFO:Checking exceptions
  16843. 2022-02-04 15:06:09,709:INFO:Importing libraries
  16844. 2022-02-04 15:06:09,709:INFO:Copying training dataset
  16845. 2022-02-04 15:06:09,710:INFO:Defining folds
  16846. 2022-02-04 15:06:09,710:INFO:Declaring metric variables
  16847. 2022-02-04 15:06:09,714:INFO:Importing untrained model
  16848. 2022-02-04 15:06:09,719:INFO:Ridge Classifier Imported succesfully
  16849. 2022-02-04 15:06:09,729:INFO:Starting cross validation
  16850. 2022-02-04 15:06:09,730:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16851. 2022-02-04 15:06:09,954:INFO:Calculating mean and std
  16852. 2022-02-04 15:06:09,954:INFO:Creating metrics dataframe
  16853. 2022-02-04 15:06:09,957:INFO:Uploading results into container
  16854. 2022-02-04 15:06:09,957:INFO:Uploading model into container now
  16855. 2022-02-04 15:06:09,957:INFO:create_model_container: 9
  16856. 2022-02-04 15:06:09,957:INFO:master_model_container: 9
  16857. 2022-02-04 15:06:09,957:INFO:display_container: 5
  16858. 2022-02-04 15:06:09,957:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
  16859. max_iter=None, normalize=False, random_state=4409,
  16860. solver='auto', tol=0.001)
  16861. 2022-02-04 15:06:09,958:INFO:create_model() succesfully completed......................................
  16862. 2022-02-04 15:06:10,055:INFO:SubProcess create_model() end ==================================
  16863. 2022-02-04 15:06:10,055:INFO:Creating metrics dataframe
  16864. 2022-02-04 15:06:10,066:INFO:Initializing Random Forest Classifier
  16865. 2022-02-04 15:06:10,066:INFO:Total runtime is 0.3909323612848917 minutes
  16866. 2022-02-04 15:06:10,071:INFO:SubProcess create_model() called ==================================
  16867. 2022-02-04 15:06:10,071:INFO:Initializing create_model()
  16868. 2022-02-04 15:06:10,071:INFO:create_model(estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16869. 2022-02-04 15:06:10,072:INFO:Checking exceptions
  16870. 2022-02-04 15:06:10,072:INFO:Importing libraries
  16871. 2022-02-04 15:06:10,072:INFO:Copying training dataset
  16872. 2022-02-04 15:06:10,072:INFO:Defining folds
  16873. 2022-02-04 15:06:10,073:INFO:Declaring metric variables
  16874. 2022-02-04 15:06:10,078:INFO:Importing untrained model
  16875. 2022-02-04 15:06:10,083:INFO:Random Forest Classifier Imported succesfully
  16876. 2022-02-04 15:06:10,092:INFO:Starting cross validation
  16877. 2022-02-04 15:06:10,092:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16878. 2022-02-04 15:06:16,557:INFO:Calculating mean and std
  16879. 2022-02-04 15:06:16,557:INFO:Creating metrics dataframe
  16880. 2022-02-04 15:06:16,561:INFO:Uploading results into container
  16881. 2022-02-04 15:06:16,561:INFO:Uploading model into container now
  16882. 2022-02-04 15:06:16,561:INFO:create_model_container: 10
  16883. 2022-02-04 15:06:16,561:INFO:master_model_container: 10
  16884. 2022-02-04 15:06:16,561:INFO:display_container: 5
  16885. 2022-02-04 15:06:16,562:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  16886. criterion='gini', max_depth=None, max_features='auto',
  16887. max_leaf_nodes=None, max_samples=None,
  16888. min_impurity_decrease=0.0, min_impurity_split=None,
  16889. min_samples_leaf=1, min_samples_split=2,
  16890. min_weight_fraction_leaf=0.0, n_estimators=100,
  16891. n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
  16892. warm_start=False)
  16893. 2022-02-04 15:06:16,562:INFO:create_model() succesfully completed......................................
  16894. 2022-02-04 15:06:16,667:INFO:SubProcess create_model() end ==================================
  16895. 2022-02-04 15:06:16,667:INFO:Creating metrics dataframe
  16896. 2022-02-04 15:06:16,678:INFO:Initializing Quadratic Discriminant Analysis
  16897. 2022-02-04 15:06:16,678:INFO:Total runtime is 0.5011307676633199 minutes
  16898. 2022-02-04 15:06:16,684:INFO:SubProcess create_model() called ==================================
  16899. 2022-02-04 15:06:16,684:INFO:Initializing create_model()
  16900. 2022-02-04 15:06:16,684:INFO:create_model(estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16901. 2022-02-04 15:06:16,684:INFO:Checking exceptions
  16902. 2022-02-04 15:06:16,684:INFO:Importing libraries
  16903. 2022-02-04 15:06:16,684:INFO:Copying training dataset
  16904. 2022-02-04 15:06:16,685:INFO:Defining folds
  16905. 2022-02-04 15:06:16,685:INFO:Declaring metric variables
  16906. 2022-02-04 15:06:16,690:INFO:Importing untrained model
  16907. 2022-02-04 15:06:16,695:INFO:Quadratic Discriminant Analysis Imported succesfully
  16908. 2022-02-04 15:06:16,704:INFO:Starting cross validation
  16909. 2022-02-04 15:06:16,705:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16910. 2022-02-04 15:06:17,050:INFO:Calculating mean and std
  16911. 2022-02-04 15:06:17,050:INFO:Creating metrics dataframe
  16912. 2022-02-04 15:06:17,053:INFO:Uploading results into container
  16913. 2022-02-04 15:06:17,053:INFO:Uploading model into container now
  16914. 2022-02-04 15:06:17,053:INFO:create_model_container: 11
  16915. 2022-02-04 15:06:17,053:INFO:master_model_container: 11
  16916. 2022-02-04 15:06:17,053:INFO:display_container: 5
  16917. 2022-02-04 15:06:17,053:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
  16918. store_covariance=False, tol=0.0001)
  16919. 2022-02-04 15:06:17,054:INFO:create_model() succesfully completed......................................
  16920. 2022-02-04 15:06:17,149:INFO:SubProcess create_model() end ==================================
  16921. 2022-02-04 15:06:17,150:INFO:Creating metrics dataframe
  16922. 2022-02-04 15:06:17,161:INFO:Initializing Ada Boost Classifier
  16923. 2022-02-04 15:06:17,161:INFO:Total runtime is 0.5091807285944621 minutes
  16924. 2022-02-04 15:06:17,166:INFO:SubProcess create_model() called ==================================
  16925. 2022-02-04 15:06:17,166:INFO:Initializing create_model()
  16926. 2022-02-04 15:06:17,166:INFO:create_model(estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16927. 2022-02-04 15:06:17,166:INFO:Checking exceptions
  16928. 2022-02-04 15:06:17,166:INFO:Importing libraries
  16929. 2022-02-04 15:06:17,166:INFO:Copying training dataset
  16930. 2022-02-04 15:06:17,167:INFO:Defining folds
  16931. 2022-02-04 15:06:17,167:INFO:Declaring metric variables
  16932. 2022-02-04 15:06:17,172:INFO:Importing untrained model
  16933. 2022-02-04 15:06:17,176:INFO:Ada Boost Classifier Imported succesfully
  16934. 2022-02-04 15:06:17,185:INFO:Starting cross validation
  16935. 2022-02-04 15:06:17,186:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16936. 2022-02-04 15:06:23,878:INFO:Calculating mean and std
  16937. 2022-02-04 15:06:23,878:INFO:Creating metrics dataframe
  16938. 2022-02-04 15:06:23,881:INFO:Uploading results into container
  16939. 2022-02-04 15:06:23,881:INFO:Uploading model into container now
  16940. 2022-02-04 15:06:23,881:INFO:create_model_container: 12
  16941. 2022-02-04 15:06:23,881:INFO:master_model_container: 12
  16942. 2022-02-04 15:06:23,881:INFO:display_container: 5
  16943. 2022-02-04 15:06:23,882:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
  16944. n_estimators=50, random_state=4409)
  16945. 2022-02-04 15:06:23,882:INFO:create_model() succesfully completed......................................
  16946. 2022-02-04 15:06:23,979:INFO:SubProcess create_model() end ==================================
  16947. 2022-02-04 15:06:23,979:INFO:Creating metrics dataframe
  16948. 2022-02-04 15:06:23,990:INFO:Initializing Gradient Boosting Classifier
  16949. 2022-02-04 15:06:23,991:INFO:Total runtime is 0.6230140884717306 minutes
  16950. 2022-02-04 15:06:23,996:INFO:SubProcess create_model() called ==================================
  16951. 2022-02-04 15:06:23,996:INFO:Initializing create_model()
  16952. 2022-02-04 15:06:23,996:INFO:create_model(estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16953. 2022-02-04 15:06:23,996:INFO:Checking exceptions
  16954. 2022-02-04 15:06:23,996:INFO:Importing libraries
  16955. 2022-02-04 15:06:23,996:INFO:Copying training dataset
  16956. 2022-02-04 15:06:23,997:INFO:Defining folds
  16957. 2022-02-04 15:06:23,998:INFO:Declaring metric variables
  16958. 2022-02-04 15:06:24,002:INFO:Importing untrained model
  16959. 2022-02-04 15:06:24,008:INFO:Gradient Boosting Classifier Imported succesfully
  16960. 2022-02-04 15:06:24,017:INFO:Starting cross validation
  16961. 2022-02-04 15:06:24,017:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16962. 2022-02-04 15:06:45,572:INFO:Calculating mean and std
  16963. 2022-02-04 15:06:45,573:INFO:Creating metrics dataframe
  16964. 2022-02-04 15:06:45,575:INFO:Uploading results into container
  16965. 2022-02-04 15:06:45,576:INFO:Uploading model into container now
  16966. 2022-02-04 15:06:45,576:INFO:create_model_container: 13
  16967. 2022-02-04 15:06:45,576:INFO:master_model_container: 13
  16968. 2022-02-04 15:06:45,576:INFO:display_container: 5
  16969. 2022-02-04 15:06:45,576:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
  16970. learning_rate=0.1, loss='deviance', max_depth=3,
  16971. max_features=None, max_leaf_nodes=None,
  16972. min_impurity_decrease=0.0, min_impurity_split=None,
  16973. min_samples_leaf=1, min_samples_split=2,
  16974. min_weight_fraction_leaf=0.0, n_estimators=100,
  16975. n_iter_no_change=None, presort='deprecated',
  16976. random_state=4409, subsample=1.0, tol=0.0001,
  16977. validation_fraction=0.1, verbose=0,
  16978. warm_start=False)
  16979. 2022-02-04 15:06:45,576:INFO:create_model() succesfully completed......................................
  16980. 2022-02-04 15:06:45,671:INFO:SubProcess create_model() end ==================================
  16981. 2022-02-04 15:06:45,671:INFO:Creating metrics dataframe
  16982. 2022-02-04 15:06:45,683:INFO:Initializing Linear Discriminant Analysis
  16983. 2022-02-04 15:06:45,683:INFO:Total runtime is 0.9845474243164063 minutes
  16984. 2022-02-04 15:06:45,688:INFO:SubProcess create_model() called ==================================
  16985. 2022-02-04 15:06:45,688:INFO:Initializing create_model()
  16986. 2022-02-04 15:06:45,688:INFO:create_model(estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  16987. 2022-02-04 15:06:45,688:INFO:Checking exceptions
  16988. 2022-02-04 15:06:45,689:INFO:Importing libraries
  16989. 2022-02-04 15:06:45,689:INFO:Copying training dataset
  16990. 2022-02-04 15:06:45,689:INFO:Defining folds
  16991. 2022-02-04 15:06:45,690:INFO:Declaring metric variables
  16992. 2022-02-04 15:06:45,694:INFO:Importing untrained model
  16993. 2022-02-04 15:06:45,699:INFO:Linear Discriminant Analysis Imported succesfully
  16994. 2022-02-04 15:06:45,708:INFO:Starting cross validation
  16995. 2022-02-04 15:06:45,709:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  16996. 2022-02-04 15:06:46,414:INFO:Calculating mean and std
  16997. 2022-02-04 15:06:46,415:INFO:Creating metrics dataframe
  16998. 2022-02-04 15:06:46,418:INFO:Uploading results into container
  16999. 2022-02-04 15:06:46,418:INFO:Uploading model into container now
  17000. 2022-02-04 15:06:46,418:INFO:create_model_container: 14
  17001. 2022-02-04 15:06:46,418:INFO:master_model_container: 14
  17002. 2022-02-04 15:06:46,418:INFO:display_container: 5
  17003. 2022-02-04 15:06:46,419:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
  17004. solver='svd', store_covariance=False, tol=0.0001)
  17005. 2022-02-04 15:06:46,419:INFO:create_model() succesfully completed......................................
  17006. 2022-02-04 15:06:46,515:INFO:SubProcess create_model() end ==================================
  17007. 2022-02-04 15:06:46,515:INFO:Creating metrics dataframe
  17008. 2022-02-04 15:06:46,527:INFO:Initializing Extra Trees Classifier
  17009. 2022-02-04 15:06:46,527:INFO:Total runtime is 0.9986141165097555 minutes
  17010. 2022-02-04 15:06:46,532:INFO:SubProcess create_model() called ==================================
  17011. 2022-02-04 15:06:46,532:INFO:Initializing create_model()
  17012. 2022-02-04 15:06:46,532:INFO:create_model(estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17013. 2022-02-04 15:06:46,532:INFO:Checking exceptions
  17014. 2022-02-04 15:06:46,532:INFO:Importing libraries
  17015. 2022-02-04 15:06:46,532:INFO:Copying training dataset
  17016. 2022-02-04 15:06:46,533:INFO:Defining folds
  17017. 2022-02-04 15:06:46,534:INFO:Declaring metric variables
  17018. 2022-02-04 15:06:46,538:INFO:Importing untrained model
  17019. 2022-02-04 15:06:46,543:INFO:Extra Trees Classifier Imported succesfully
  17020. 2022-02-04 15:06:46,553:INFO:Starting cross validation
  17021. 2022-02-04 15:06:46,553:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17022. 2022-02-04 15:06:54,031:INFO:Calculating mean and std
  17023. 2022-02-04 15:06:54,032:INFO:Creating metrics dataframe
  17024. 2022-02-04 15:06:54,034:INFO:Uploading results into container
  17025. 2022-02-04 15:06:54,034:INFO:Uploading model into container now
  17026. 2022-02-04 15:06:54,034:INFO:create_model_container: 15
  17027. 2022-02-04 15:06:54,035:INFO:master_model_container: 15
  17028. 2022-02-04 15:06:54,035:INFO:display_container: 5
  17029. 2022-02-04 15:06:54,035:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  17030. criterion='gini', max_depth=None, max_features='auto',
  17031. max_leaf_nodes=None, max_samples=None,
  17032. min_impurity_decrease=0.0, min_impurity_split=None,
  17033. min_samples_leaf=1, min_samples_split=2,
  17034. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  17035. oob_score=False, random_state=4409, verbose=0,
  17036. warm_start=False)
  17037. 2022-02-04 15:06:54,035:INFO:create_model() succesfully completed......................................
  17038. 2022-02-04 15:06:54,141:INFO:SubProcess create_model() end ==================================
  17039. 2022-02-04 15:06:54,141:INFO:Creating metrics dataframe
  17040. 2022-02-04 15:06:54,153:INFO:Initializing Extreme Gradient Boosting
  17041. 2022-02-04 15:06:54,154:INFO:Total runtime is 1.1257275780042013 minutes
  17042. 2022-02-04 15:06:54,159:INFO:SubProcess create_model() called ==================================
  17043. 2022-02-04 15:06:54,159:INFO:Initializing create_model()
  17044. 2022-02-04 15:06:54,159:INFO:create_model(estimator=xgboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17045. 2022-02-04 15:06:54,159:INFO:Checking exceptions
  17046. 2022-02-04 15:06:54,159:INFO:Importing libraries
  17047. 2022-02-04 15:06:54,159:INFO:Copying training dataset
  17048. 2022-02-04 15:06:54,160:INFO:Defining folds
  17049. 2022-02-04 15:06:54,160:INFO:Declaring metric variables
  17050. 2022-02-04 15:06:54,165:INFO:Importing untrained model
  17051. 2022-02-04 15:06:54,169:INFO:Extreme Gradient Boosting Imported succesfully
  17052. 2022-02-04 15:06:54,179:INFO:Starting cross validation
  17053. 2022-02-04 15:06:54,180:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17054. 2022-02-04 15:07:00,013:INFO:Calculating mean and std
  17055. 2022-02-04 15:07:00,014:INFO:Creating metrics dataframe
  17056. 2022-02-04 15:07:00,018:INFO:Uploading results into container
  17057. 2022-02-04 15:07:00,018:INFO:Uploading model into container now
  17058. 2022-02-04 15:07:00,018:INFO:create_model_container: 16
  17059. 2022-02-04 15:07:00,018:INFO:master_model_container: 16
  17060. 2022-02-04 15:07:00,018:INFO:display_container: 5
  17061. 2022-02-04 15:07:00,019:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
  17062. colsample_bynode=None, colsample_bytree=None,
  17063. enable_categorical=False, gamma=None, gpu_id=None,
  17064. importance_type=None, interaction_constraints=None,
  17065. learning_rate=None, max_delta_step=None, max_depth=None,
  17066. min_child_weight=None, missing=nan, monotone_constraints=None,
  17067. n_estimators=100, n_jobs=-1, num_parallel_tree=None,
  17068. objective='binary:logistic', predictor=None, random_state=4409,
  17069. reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
  17070. subsample=None, tree_method='gpu_hist', use_label_encoder=True,
  17071. validate_parameters=None, verbosity=0)
  17072. 2022-02-04 15:07:00,019:INFO:create_model() succesfully completed......................................
  17073. 2022-02-04 15:07:00,137:INFO:SubProcess create_model() end ==================================
  17074. 2022-02-04 15:07:00,137:INFO:Creating metrics dataframe
  17075. 2022-02-04 15:07:00,149:INFO:Initializing Light Gradient Boosting Machine
  17076. 2022-02-04 15:07:00,149:INFO:Total runtime is 1.2256452123324078 minutes
  17077. 2022-02-04 15:07:00,155:INFO:SubProcess create_model() called ==================================
  17078. 2022-02-04 15:07:00,155:INFO:Initializing create_model()
  17079. 2022-02-04 15:07:00,155:INFO:create_model(estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17080. 2022-02-04 15:07:00,155:INFO:Checking exceptions
  17081. 2022-02-04 15:07:00,155:INFO:Importing libraries
  17082. 2022-02-04 15:07:00,155:INFO:Copying training dataset
  17083. 2022-02-04 15:07:00,156:INFO:Defining folds
  17084. 2022-02-04 15:07:00,156:INFO:Declaring metric variables
  17085. 2022-02-04 15:07:00,161:INFO:Importing untrained model
  17086. 2022-02-04 15:07:00,165:INFO:Light Gradient Boosting Machine Imported succesfully
  17087. 2022-02-04 15:07:00,175:INFO:Starting cross validation
  17088. 2022-02-04 15:07:00,175:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17089. 2022-02-04 15:07:15,358:INFO:Calculating mean and std
  17090. 2022-02-04 15:07:15,359:INFO:Creating metrics dataframe
  17091. 2022-02-04 15:07:15,363:INFO:Uploading results into container
  17092. 2022-02-04 15:07:15,363:INFO:Uploading model into container now
  17093. 2022-02-04 15:07:15,363:INFO:create_model_container: 17
  17094. 2022-02-04 15:07:15,363:INFO:master_model_container: 17
  17095. 2022-02-04 15:07:15,363:INFO:display_container: 5
  17096. 2022-02-04 15:07:15,364:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  17097. device='gpu', importance_type='split', learning_rate=0.1,
  17098. max_depth=-1, min_child_samples=20, min_child_weight=0.001,
  17099. min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
  17100. objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
  17101. silent='warn', subsample=1.0, subsample_for_bin=200000,
  17102. subsample_freq=0)
  17103. 2022-02-04 15:07:15,364:INFO:create_model() succesfully completed......................................
  17104. 2022-02-04 15:07:15,486:INFO:SubProcess create_model() end ==================================
  17105. 2022-02-04 15:07:15,486:INFO:Creating metrics dataframe
  17106. 2022-02-04 15:07:15,500:INFO:Initializing CatBoost Classifier
  17107. 2022-02-04 15:07:15,500:INFO:Total runtime is 1.4814952055613202 minutes
  17108. 2022-02-04 15:07:15,505:INFO:SubProcess create_model() called ==================================
  17109. 2022-02-04 15:07:15,505:INFO:Initializing create_model()
  17110. 2022-02-04 15:07:15,505:INFO:create_model(estimator=catboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17111. 2022-02-04 15:07:15,506:INFO:Checking exceptions
  17112. 2022-02-04 15:07:15,506:INFO:Importing libraries
  17113. 2022-02-04 15:07:15,506:INFO:Copying training dataset
  17114. 2022-02-04 15:07:15,507:INFO:Defining folds
  17115. 2022-02-04 15:07:15,507:INFO:Declaring metric variables
  17116. 2022-02-04 15:07:15,511:INFO:Importing untrained model
  17117. 2022-02-04 15:07:15,516:INFO:CatBoost Classifier Imported succesfully
  17118. 2022-02-04 15:07:15,526:INFO:Starting cross validation
  17119. 2022-02-04 15:07:15,526:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17120. 2022-02-04 15:08:36,311:INFO:Calculating mean and std
  17121. 2022-02-04 15:08:36,312:INFO:Creating metrics dataframe
  17122. 2022-02-04 15:08:36,315:INFO:Uploading results into container
  17123. 2022-02-04 15:08:36,315:INFO:Uploading model into container now
  17124. 2022-02-04 15:08:36,315:INFO:create_model_container: 18
  17125. 2022-02-04 15:08:36,315:INFO:master_model_container: 18
  17126. 2022-02-04 15:08:36,315:INFO:display_container: 5
  17127. 2022-02-04 15:08:36,315:INFO:<catboost.core.CatBoostClassifier object at 0x0000019A490FDDC0>
  17128. 2022-02-04 15:08:36,315:INFO:create_model() succesfully completed......................................
  17129. 2022-02-04 15:08:36,421:INFO:SubProcess create_model() end ==================================
  17130. 2022-02-04 15:08:36,422:INFO:Creating metrics dataframe
  17131. 2022-02-04 15:08:36,435:INFO:Initializing Dummy Classifier
  17132. 2022-02-04 15:08:36,435:INFO:Total runtime is 2.830419460932414 minutes
  17133. 2022-02-04 15:08:36,440:INFO:SubProcess create_model() called ==================================
  17134. 2022-02-04 15:08:36,440:INFO:Initializing create_model()
  17135. 2022-02-04 15:08:36,440:INFO:create_model(estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019A457060D0>, kwargs={})
  17136. 2022-02-04 15:08:36,440:INFO:Checking exceptions
  17137. 2022-02-04 15:08:36,440:INFO:Importing libraries
  17138. 2022-02-04 15:08:36,440:INFO:Copying training dataset
  17139. 2022-02-04 15:08:36,441:INFO:Defining folds
  17140. 2022-02-04 15:08:36,442:INFO:Declaring metric variables
  17141. 2022-02-04 15:08:36,446:INFO:Importing untrained model
  17142. 2022-02-04 15:08:36,452:INFO:Dummy Classifier Imported succesfully
  17143. 2022-02-04 15:08:36,464:INFO:Starting cross validation
  17144. 2022-02-04 15:08:36,464:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17145. 2022-02-04 15:08:36,598:INFO:Calculating mean and std
  17146. 2022-02-04 15:08:36,598:INFO:Creating metrics dataframe
  17147. 2022-02-04 15:08:36,602:INFO:Uploading results into container
  17148. 2022-02-04 15:08:36,602:INFO:Uploading model into container now
  17149. 2022-02-04 15:08:36,602:INFO:create_model_container: 19
  17150. 2022-02-04 15:08:36,602:INFO:master_model_container: 19
  17151. 2022-02-04 15:08:36,602:INFO:display_container: 5
  17152. 2022-02-04 15:08:36,602:INFO:DummyClassifier(constant=None, random_state=4409, strategy='prior')
  17153. 2022-02-04 15:08:36,602:INFO:create_model() succesfully completed......................................
  17154. 2022-02-04 15:08:36,703:INFO:SubProcess create_model() end ==================================
  17155. 2022-02-04 15:08:36,704:INFO:Creating metrics dataframe
  17156. 2022-02-04 15:08:36,728:INFO:Initializing create_model()
  17157. 2022-02-04 15:08:36,728:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  17158. criterion='gini', max_depth=None, max_features='auto',
  17159. max_leaf_nodes=None, max_samples=None,
  17160. min_impurity_decrease=0.0, min_impurity_split=None,
  17161. min_samples_leaf=1, min_samples_split=2,
  17162. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  17163. oob_score=False, random_state=4409, verbose=0,
  17164. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17165. 2022-02-04 15:08:36,728:INFO:Checking exceptions
  17166. 2022-02-04 15:08:36,728:INFO:Importing libraries
  17167. 2022-02-04 15:08:36,729:INFO:Copying training dataset
  17168. 2022-02-04 15:08:36,729:INFO:Defining folds
  17169. 2022-02-04 15:08:36,729:INFO:Declaring metric variables
  17170. 2022-02-04 15:08:36,729:INFO:Importing untrained model
  17171. 2022-02-04 15:08:36,729:INFO:Declaring custom model
  17172. 2022-02-04 15:08:36,730:INFO:Extra Trees Classifier Imported succesfully
  17173. 2022-02-04 15:08:36,730:INFO:Cross validation set to False
  17174. 2022-02-04 15:08:36,730:INFO:Fitting Model
  17175. 2022-02-04 15:08:36,996:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  17176. criterion='gini', max_depth=None, max_features='auto',
  17177. max_leaf_nodes=None, max_samples=None,
  17178. min_impurity_decrease=0.0, min_impurity_split=None,
  17179. min_samples_leaf=1, min_samples_split=2,
  17180. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  17181. oob_score=False, random_state=4409, verbose=0,
  17182. warm_start=False)
  17183. 2022-02-04 15:08:36,996:INFO:create_models() succesfully completed......................................
  17184. 2022-02-04 15:08:37,106:INFO:Initializing create_model()
  17185. 2022-02-04 15:08:37,107:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  17186. criterion='gini', max_depth=None, max_features='auto',
  17187. max_leaf_nodes=None, max_samples=None,
  17188. min_impurity_decrease=0.0, min_impurity_split=None,
  17189. min_samples_leaf=1, min_samples_split=2,
  17190. min_weight_fraction_leaf=0.0, n_estimators=100,
  17191. n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
  17192. warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17193. 2022-02-04 15:08:37,107:INFO:Checking exceptions
  17194. 2022-02-04 15:08:37,107:INFO:Importing libraries
  17195. 2022-02-04 15:08:37,107:INFO:Copying training dataset
  17196. 2022-02-04 15:08:37,108:INFO:Defining folds
  17197. 2022-02-04 15:08:37,108:INFO:Declaring metric variables
  17198. 2022-02-04 15:08:37,108:INFO:Importing untrained model
  17199. 2022-02-04 15:08:37,108:INFO:Declaring custom model
  17200. 2022-02-04 15:08:37,108:INFO:Random Forest Classifier Imported succesfully
  17201. 2022-02-04 15:08:37,109:INFO:Cross validation set to False
  17202. 2022-02-04 15:08:37,109:INFO:Fitting Model
  17203. 2022-02-04 15:08:37,418:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  17204. criterion='gini', max_depth=None, max_features='auto',
  17205. max_leaf_nodes=None, max_samples=None,
  17206. min_impurity_decrease=0.0, min_impurity_split=None,
  17207. min_samples_leaf=1, min_samples_split=2,
  17208. min_weight_fraction_leaf=0.0, n_estimators=100,
  17209. n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
  17210. warm_start=False)
  17211. 2022-02-04 15:08:37,418:INFO:create_models() succesfully completed......................................
  17212. 2022-02-04 15:08:37,525:INFO:Initializing create_model()
  17213. 2022-02-04 15:08:37,525:INFO:create_model(estimator=<catboost.core.CatBoostClassifier object at 0x0000019A490FDDC0>, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17214. 2022-02-04 15:08:37,525:INFO:Checking exceptions
  17215. 2022-02-04 15:08:37,525:INFO:Importing libraries
  17216. 2022-02-04 15:08:37,525:INFO:Copying training dataset
  17217. 2022-02-04 15:08:37,526:INFO:Defining folds
  17218. 2022-02-04 15:08:37,526:INFO:Declaring metric variables
  17219. 2022-02-04 15:08:37,526:INFO:Importing untrained model
  17220. 2022-02-04 15:08:37,526:INFO:Declaring custom model
  17221. 2022-02-04 15:08:37,526:INFO:CatBoost Classifier Imported succesfully
  17222. 2022-02-04 15:08:37,527:INFO:Cross validation set to False
  17223. 2022-02-04 15:08:37,527:INFO:Fitting Model
  17224. 2022-02-04 15:08:45,340:INFO:<catboost.core.CatBoostClassifier object at 0x0000019A491A57C0>
  17225. 2022-02-04 15:08:45,340:INFO:create_models() succesfully completed......................................
  17226. 2022-02-04 15:08:45,442:INFO:Initializing create_model()
  17227. 2022-02-04 15:08:45,442:INFO:create_model(estimator=XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
  17228. colsample_bynode=None, colsample_bytree=None,
  17229. enable_categorical=False, gamma=None, gpu_id=None,
  17230. importance_type=None, interaction_constraints=None,
  17231. learning_rate=None, max_delta_step=None, max_depth=None,
  17232. min_child_weight=None, missing=nan, monotone_constraints=None,
  17233. n_estimators=100, n_jobs=-1, num_parallel_tree=None,
  17234. objective='binary:logistic', predictor=None, random_state=4409,
  17235. reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
  17236. subsample=None, tree_method='gpu_hist', use_label_encoder=True,
  17237. validate_parameters=None, verbosity=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17238. 2022-02-04 15:08:45,442:INFO:Checking exceptions
  17239. 2022-02-04 15:08:45,442:INFO:Importing libraries
  17240. 2022-02-04 15:08:45,442:INFO:Copying training dataset
  17241. 2022-02-04 15:08:45,443:INFO:Defining folds
  17242. 2022-02-04 15:08:45,443:INFO:Declaring metric variables
  17243. 2022-02-04 15:08:45,443:INFO:Importing untrained model
  17244. 2022-02-04 15:08:45,443:INFO:Declaring custom model
  17245. 2022-02-04 15:08:45,444:INFO:Extreme Gradient Boosting Imported succesfully
  17246. 2022-02-04 15:08:45,445:INFO:Cross validation set to False
  17247. 2022-02-04 15:08:45,445:INFO:Fitting Model
  17248. 2022-02-04 15:08:46,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17249. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17250. gamma=0, gpu_id=0, importance_type=None,
  17251. interaction_constraints='', learning_rate=0.300000012,
  17252. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  17253. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  17254. num_parallel_tree=1, objective='binary:logistic',
  17255. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  17256. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  17257. use_label_encoder=True, validate_parameters=1, verbosity=0)
  17258. 2022-02-04 15:08:46,436:INFO:create_models() succesfully completed......................................
  17259. 2022-02-04 15:08:46,545:INFO:Initializing create_model()
  17260. 2022-02-04 15:08:46,545:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  17261. device='gpu', importance_type='split', learning_rate=0.1,
  17262. max_depth=-1, min_child_samples=20, min_child_weight=0.001,
  17263. min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
  17264. objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
  17265. silent='warn', subsample=1.0, subsample_for_bin=200000,
  17266. subsample_freq=0), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17267. 2022-02-04 15:08:46,546:INFO:Checking exceptions
  17268. 2022-02-04 15:08:46,546:INFO:Importing libraries
  17269. 2022-02-04 15:08:46,546:INFO:Copying training dataset
  17270. 2022-02-04 15:08:46,546:INFO:Defining folds
  17271. 2022-02-04 15:08:46,546:INFO:Declaring metric variables
  17272. 2022-02-04 15:08:46,546:INFO:Importing untrained model
  17273. 2022-02-04 15:08:46,547:INFO:Declaring custom model
  17274. 2022-02-04 15:08:46,547:INFO:Light Gradient Boosting Machine Imported succesfully
  17275. 2022-02-04 15:08:46,547:INFO:Cross validation set to False
  17276. 2022-02-04 15:08:46,547:INFO:Fitting Model
  17277. 2022-02-04 15:08:47,475:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  17278. device='gpu', importance_type='split', learning_rate=0.1,
  17279. max_depth=-1, min_child_samples=20, min_child_weight=0.001,
  17280. min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
  17281. objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
  17282. silent='warn', subsample=1.0, subsample_for_bin=200000,
  17283. subsample_freq=0)
  17284. 2022-02-04 15:08:47,476:INFO:create_models() succesfully completed......................................
  17285. 2022-02-04 15:08:47,604:INFO:Initializing create_model()
  17286. 2022-02-04 15:08:47,605:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  17287. max_depth=None, max_features=None, max_leaf_nodes=None,
  17288. min_impurity_decrease=0.0, min_impurity_split=None,
  17289. min_samples_leaf=1, min_samples_split=2,
  17290. min_weight_fraction_leaf=0.0, presort='deprecated',
  17291. random_state=4409, splitter='best'), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={})
  17292. 2022-02-04 15:08:47,605:INFO:Checking exceptions
  17293. 2022-02-04 15:08:47,605:INFO:Importing libraries
  17294. 2022-02-04 15:08:47,605:INFO:Copying training dataset
  17295. 2022-02-04 15:08:47,606:INFO:Defining folds
  17296. 2022-02-04 15:08:47,606:INFO:Declaring metric variables
  17297. 2022-02-04 15:08:47,606:INFO:Importing untrained model
  17298. 2022-02-04 15:08:47,606:INFO:Declaring custom model
  17299. 2022-02-04 15:08:47,606:INFO:Decision Tree Classifier Imported succesfully
  17300. 2022-02-04 15:08:47,607:INFO:Cross validation set to False
  17301. 2022-02-04 15:08:47,607:INFO:Fitting Model
  17302. 2022-02-04 15:08:47,695:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  17303. max_depth=None, max_features=None, max_leaf_nodes=None,
  17304. min_impurity_decrease=0.0, min_impurity_split=None,
  17305. min_samples_leaf=1, min_samples_split=2,
  17306. min_weight_fraction_leaf=0.0, presort='deprecated',
  17307. random_state=4409, splitter='best')
  17308. 2022-02-04 15:08:47,695:INFO:create_models() succesfully completed......................................
  17309. 2022-02-04 15:08:47,815:INFO:create_model_container: 19
  17310. 2022-02-04 15:08:47,815:INFO:master_model_container: 19
  17311. 2022-02-04 15:08:47,815:INFO:display_container: 5
  17312. 2022-02-04 15:08:47,817:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
  17313. criterion='gini', max_depth=None, max_features='auto',
  17314. max_leaf_nodes=None, max_samples=None,
  17315. min_impurity_decrease=0.0, min_impurity_split=None,
  17316. min_samples_leaf=1, min_samples_split=2,
  17317. min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
  17318. oob_score=False, random_state=4409, verbose=0,
  17319. warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
  17320. criterion='gini', max_depth=None, max_features='auto',
  17321. max_leaf_nodes=None, max_samples=None,
  17322. min_impurity_decrease=0.0, min_impurity_split=None,
  17323. min_samples_leaf=1, min_samples_split=2,
  17324. min_weight_fraction_leaf=0.0, n_estimators=100,
  17325. n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
  17326. warm_start=False), <catboost.core.CatBoostClassifier object at 0x0000019A491A57C0>, XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17327. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17328. gamma=0, gpu_id=0, importance_type=None,
  17329. interaction_constraints='', learning_rate=0.300000012,
  17330. max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
  17331. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  17332. num_parallel_tree=1, objective='binary:logistic',
  17333. predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
  17334. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  17335. use_label_encoder=True, validate_parameters=1, verbosity=0), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
  17336. device='gpu', importance_type='split', learning_rate=0.1,
  17337. max_depth=-1, min_child_samples=20, min_child_weight=0.001,
  17338. min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
  17339. objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
  17340. silent='warn', subsample=1.0, subsample_for_bin=200000,
  17341. subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  17342. max_depth=None, max_features=None, max_leaf_nodes=None,
  17343. min_impurity_decrease=0.0, min_impurity_split=None,
  17344. min_samples_leaf=1, min_samples_split=2,
  17345. min_weight_fraction_leaf=0.0, presort='deprecated',
  17346. random_state=4409, splitter='best')]
  17347. 2022-02-04 15:08:47,817:INFO:compare_models() succesfully completed......................................
  17348. 2022-02-04 15:12:54,460:INFO:Initializing create_model()
  17349. 2022-02-04 15:12:54,460:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  17350. 2022-02-04 15:12:54,460:INFO:Checking exceptions
  17351. 2022-02-04 15:12:54,461:INFO:Preparing display monitor
  17352. 2022-02-04 15:12:54,472:INFO:Importing libraries
  17353. 2022-02-04 15:12:54,472:INFO:Copying training dataset
  17354. 2022-02-04 15:12:54,473:INFO:Defining folds
  17355. 2022-02-04 15:12:54,473:INFO:Declaring metric variables
  17356. 2022-02-04 15:12:54,478:INFO:Importing untrained model
  17357. 2022-02-04 15:12:54,483:INFO:Extreme Gradient Boosting Imported succesfully
  17358. 2022-02-04 15:12:54,493:INFO:Starting cross validation
  17359. 2022-02-04 15:12:54,494:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17360. 2022-02-04 15:13:39,368:INFO:Calculating mean and std
  17361. 2022-02-04 15:13:39,369:INFO:Creating metrics dataframe
  17362. 2022-02-04 15:13:39,380:INFO:Finalizing model
  17363. 2022-02-04 15:13:43,426:INFO:Uploading results into container
  17364. 2022-02-04 15:13:43,426:INFO:Uploading model into container now
  17365. 2022-02-04 15:13:43,434:INFO:create_model_container: 20
  17366. 2022-02-04 15:13:43,435:INFO:master_model_container: 20
  17367. 2022-02-04 15:13:43,435:INFO:display_container: 6
  17368. 2022-02-04 15:13:43,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17369. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17370. gamma=0, gpu_id=0, importance_type=None,
  17371. interaction_constraints='', learning_rate=0.300000012,
  17372. max_delta_step=0, max_depth=16, max_leaves=255,
  17373. min_child_weight=1, missing=nan, monotone_constraints='()',
  17374. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17375. objective='binary:logistic', predictor='auto', random_state=4409,
  17376. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17377. tree_method='gpu_hist', use_label_encoder=True,
  17378. validate_parameters=1, ...)
  17379. 2022-02-04 15:13:43,436:INFO:create_model() succesfully completed......................................
  17380. 2022-02-04 15:15:36,827:INFO:PyCaret Supervised Module
  17381. 2022-02-04 15:15:36,827:INFO:ML Usecase: classification
  17382. 2022-02-04 15:15:36,827:INFO:version 2.3.6
  17383. 2022-02-04 15:15:36,827:INFO:Initializing setup()
  17384. 2022-02-04 15:15:36,827:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  17385. 2022-02-04 15:15:36,827:INFO:Checking environment
  17386. 2022-02-04 15:15:36,827:INFO:python_version: 3.8.12
  17387. 2022-02-04 15:15:36,828:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  17388. 2022-02-04 15:15:36,828:INFO:machine: AMD64
  17389. 2022-02-04 15:15:36,828:INFO:platform: Windows-10-10.0.22000-SP0
  17390. 2022-02-04 15:15:36,828:INFO:Memory: svmem(total=68629372928, available=43907321856, percent=36.0, used=24722051072, free=43907321856)
  17391. 2022-02-04 15:15:36,828:INFO:Physical Core: 16
  17392. 2022-02-04 15:15:36,828:INFO:Logical Core: 32
  17393. 2022-02-04 15:15:36,828:INFO:Checking libraries
  17394. 2022-02-04 15:15:36,828:INFO:pd==1.3.5
  17395. 2022-02-04 15:15:36,828:INFO:numpy==1.21.5
  17396. 2022-02-04 15:15:36,828:INFO:sklearn==0.23.2
  17397. 2022-02-04 15:15:36,828:INFO:lightgbm==3.3.2
  17398. 2022-02-04 15:15:36,828:INFO:catboost==1.0.4
  17399. 2022-02-04 15:15:36,828:INFO:xgboost==1.5.2
  17400. 2022-02-04 15:15:36,828:INFO:mlflow==1.23.1
  17401. 2022-02-04 15:15:36,828:INFO:Checking Exceptions
  17402. 2022-02-04 15:15:36,828:INFO:Declaring global variables
  17403. 2022-02-04 15:15:36,828:INFO:USI: a197
  17404. 2022-02-04 15:15:36,828:INFO:pycaret_globals: {'log_plots_param', '_gpu_n_jobs_param', 'prep_pipe', 'fix_imbalance_method_param', '_ml_usecase', 'iterative_imputation_iters_param', 'USI', '_internal_pipeline', 'n_jobs_param', 'X_train', 'y_test', 'data_before_preprocess', 'X', 'stratify_param', '_all_models_internal', 'imputation_regressor', 'fix_imbalance_param', 'pycaret_globals', '_all_models', 'html_param', 'imputation_classifier', 'fold_generator', 'transform_target_param', 'target_param', 'y', 'fold_groups_param', 'create_model_container', 'X_test', 'fold_shuffle_param', 'logging_param', 'y_train', 'transform_target_method_param', 'gpu_param', '_available_plots', '_all_metrics', 'fold_param', 'experiment__', 'master_model_container', 'display_container', 'seed', 'fold_groups_param_full', 'exp_name_log'}
  17405. 2022-02-04 15:15:36,828:INFO:Preparing display monitor
  17406. 2022-02-04 15:15:36,828:INFO:Preparing display monitor
  17407. 2022-02-04 15:15:36,836:INFO:Importing libraries
  17408. 2022-02-04 15:15:36,837:INFO:Copying data for preprocessing
  17409. 2022-02-04 15:15:36,842:INFO:Declaring preprocessing parameters
  17410. 2022-02-04 15:15:36,843:WARNING:cuML not found
  17411. 2022-02-04 15:15:36,843:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  17412. 2022-02-04 15:15:36,846:INFO:Creating preprocessing pipeline
  17413. 2022-02-04 15:15:36,900:INFO:Preprocessing pipeline created successfully
  17414. 2022-02-04 15:15:36,901:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  17415. 2022-02-04 15:15:36,901:INFO:Creating global containers
  17416. 2022-02-04 15:15:36,901:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  17417. 2022-02-04 15:15:38,527:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  17418. 2022-02-04 15:15:38,563:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  17419. 2022-02-04 15:15:38,564:WARNING:Couldn't import cuml.MBSGDClassifier
  17420. 2022-02-04 15:15:38,565:WARNING:Couldn't import cuml.svm.SVC
  17421. 2022-02-04 15:15:38,584:WARNING:Couldn't import cuml.linear_model
  17422. 2022-02-04 15:15:38,588:WARNING:Couldn't import cuml.ensemble
  17423. 2022-02-04 15:15:38,745:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  17424. 2022-02-04 15:15:38,805:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  17425. 2022-02-04 15:15:38,807:WARNING:Couldn't import cuml.MBSGDClassifier
  17426. 2022-02-04 15:15:38,808:WARNING:Couldn't import cuml.svm.SVC
  17427. 2022-02-04 15:15:38,838:WARNING:Couldn't import cuml.linear_model
  17428. 2022-02-04 15:15:38,845:WARNING:Couldn't import cuml.ensemble
  17429. 2022-02-04 15:15:39,014:INFO:Creating grid variables
  17430. 2022-02-04 15:15:39,027:INFO:create_model_container: 0
  17431. 2022-02-04 15:15:39,027:INFO:master_model_container: 0
  17432. 2022-02-04 15:15:39,028:INFO:display_container: 1
  17433. 2022-02-04 15:15:39,033:INFO:Pipeline(memory=None,
  17434. steps=[('dtypes',
  17435. DataTypes_Auto_infer(categorical_features=[],
  17436. display_types=True, features_todrop=[],
  17437. id_columns=[],
  17438. ml_usecase='classification',
  17439. numerical_features=[], target='label',
  17440. time_features=[])),
  17441. ('imputer',
  17442. Simple_Imputer(categorical_strategy='not_available',
  17443. fill_value_categorical=None,
  17444. fill_value_numerical=None,
  17445. numeric_strate...
  17446. target='label')),
  17447. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17448. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17449. ('dummy', Dummify(target='label')),
  17450. ('fix_perfect', Remove_100(target='label')),
  17451. ('clean_names', Clean_Colum_Names()),
  17452. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17453. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17454. verbose=False)
  17455. 2022-02-04 15:15:39,034:INFO:setup() succesfully completed......................................
  17456. 2022-02-04 15:15:41,539:INFO:Initializing create_model()
  17457. 2022-02-04 15:15:41,539:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  17458. 2022-02-04 15:15:41,539:INFO:Checking exceptions
  17459. 2022-02-04 15:15:41,539:INFO:Preparing display monitor
  17460. 2022-02-04 15:15:41,550:INFO:Importing libraries
  17461. 2022-02-04 15:15:41,551:INFO:Copying training dataset
  17462. 2022-02-04 15:15:41,552:INFO:Defining folds
  17463. 2022-02-04 15:15:41,552:INFO:Declaring metric variables
  17464. 2022-02-04 15:15:41,557:INFO:Importing untrained model
  17465. 2022-02-04 15:15:41,562:INFO:Extreme Gradient Boosting Imported succesfully
  17466. 2022-02-04 15:15:41,572:INFO:Starting cross validation
  17467. 2022-02-04 15:15:41,573:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17468. 2022-02-04 15:16:16,847:INFO:Calculating mean and std
  17469. 2022-02-04 15:16:16,848:INFO:Creating metrics dataframe
  17470. 2022-02-04 15:16:16,857:INFO:Finalizing model
  17471. 2022-02-04 15:16:20,218:INFO:Uploading results into container
  17472. 2022-02-04 15:16:20,218:INFO:Uploading model into container now
  17473. 2022-02-04 15:16:20,226:INFO:create_model_container: 1
  17474. 2022-02-04 15:16:20,226:INFO:master_model_container: 1
  17475. 2022-02-04 15:16:20,226:INFO:display_container: 2
  17476. 2022-02-04 15:16:20,228:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17477. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17478. gamma=0, gpu_id=0, importance_type=None,
  17479. interaction_constraints='', learning_rate=0.300000012,
  17480. max_delta_step=0, max_depth=16, max_leaves=255,
  17481. min_child_weight=1, missing=nan, monotone_constraints='()',
  17482. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17483. objective='binary:logistic', predictor='auto', random_state=3750,
  17484. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17485. tree_method='gpu_hist', use_label_encoder=True,
  17486. validate_parameters=1, ...)
  17487. 2022-02-04 15:16:20,228:INFO:create_model() succesfully completed......................................
  17488. 2022-02-04 15:23:48,139:INFO:Initializing create_model()
  17489. 2022-02-04 15:23:48,140:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  17490. 2022-02-04 15:23:48,140:INFO:Checking exceptions
  17491. 2022-02-04 15:23:48,140:INFO:Preparing display monitor
  17492. 2022-02-04 15:23:48,151:INFO:Importing libraries
  17493. 2022-02-04 15:23:48,151:INFO:Copying training dataset
  17494. 2022-02-04 15:23:48,153:INFO:Defining folds
  17495. 2022-02-04 15:23:48,153:INFO:Declaring metric variables
  17496. 2022-02-04 15:23:48,158:INFO:Importing untrained model
  17497. 2022-02-04 15:23:48,163:INFO:Extreme Gradient Boosting Imported succesfully
  17498. 2022-02-04 15:23:48,173:INFO:Starting cross validation
  17499. 2022-02-04 15:23:48,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17500. 2022-02-04 15:24:23,826:INFO:Calculating mean and std
  17501. 2022-02-04 15:24:23,827:INFO:Creating metrics dataframe
  17502. 2022-02-04 15:24:23,836:INFO:Finalizing model
  17503. 2022-02-04 15:24:28,116:INFO:Uploading results into container
  17504. 2022-02-04 15:24:28,116:INFO:Uploading model into container now
  17505. 2022-02-04 15:24:28,124:INFO:create_model_container: 2
  17506. 2022-02-04 15:24:28,124:INFO:master_model_container: 2
  17507. 2022-02-04 15:24:28,124:INFO:display_container: 3
  17508. 2022-02-04 15:24:28,125:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17509. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17510. gamma=0, gpu_id=0, importance_type=None,
  17511. interaction_constraints='', learning_rate=0.300000012,
  17512. max_delta_step=0, max_depth=16, max_leaves=255,
  17513. min_child_weight=1, missing=nan, monotone_constraints='()',
  17514. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17515. objective='binary:logistic', predictor='auto', random_state=3750,
  17516. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17517. tree_method='gpu_hist', use_label_encoder=True,
  17518. validate_parameters=1, ...)
  17519. 2022-02-04 15:24:28,125:INFO:create_model() succesfully completed......................................
  17520. 2022-02-04 15:24:50,660:INFO:Initializing evaluate_model()
  17521. 2022-02-04 15:24:50,660:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17522. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17523. gamma=0, gpu_id=0, importance_type=None,
  17524. interaction_constraints='', learning_rate=0.300000012,
  17525. max_delta_step=0, max_depth=16, max_leaves=255,
  17526. min_child_weight=1, missing=nan, monotone_constraints='()',
  17527. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17528. objective='binary:logistic', predictor='auto', random_state=3750,
  17529. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17530. tree_method='gpu_hist', use_label_encoder=True,
  17531. validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  17532. 2022-02-04 15:24:50,672:INFO:Initializing plot_model()
  17533. 2022-02-04 15:24:50,672:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17534. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17535. gamma=0, gpu_id=0, importance_type=None,
  17536. interaction_constraints='', learning_rate=0.300000012,
  17537. max_delta_step=0, max_depth=16, max_leaves=255,
  17538. min_child_weight=1, missing=nan, monotone_constraints='()',
  17539. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17540. objective='binary:logistic', predictor='auto', random_state=3750,
  17541. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17542. tree_method='gpu_hist', use_label_encoder=True,
  17543. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  17544. 2022-02-04 15:24:50,672:INFO:Checking exceptions
  17545. 2022-02-04 15:24:50,674:INFO:Preparing display monitor
  17546. 2022-02-04 15:24:50,678:INFO:Preloading libraries
  17547. 2022-02-04 15:24:50,778:INFO:Copying training dataset
  17548. 2022-02-04 15:24:50,779:INFO:Copying test dataset
  17549. 2022-02-04 15:24:50,780:INFO:Plot type: parameter
  17550. 2022-02-04 15:24:50,788:INFO:Visual Rendered Successfully
  17551. 2022-02-04 15:24:50,894:INFO:plot_model() succesfully completed......................................
  17552. 2022-02-04 15:25:19,632:INFO:Initializing plot_model()
  17553. 2022-02-04 15:25:19,632:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17554. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17555. gamma=0, gpu_id=0, importance_type=None,
  17556. interaction_constraints='', learning_rate=0.300000012,
  17557. max_delta_step=0, max_depth=16, max_leaves=255,
  17558. min_child_weight=1, missing=nan, monotone_constraints='()',
  17559. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17560. objective='binary:logistic', predictor='auto', random_state=3750,
  17561. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17562. tree_method='gpu_hist', use_label_encoder=True,
  17563. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  17564. 2022-02-04 15:25:19,632:INFO:Checking exceptions
  17565. 2022-02-04 15:25:19,634:INFO:Preparing display monitor
  17566. 2022-02-04 15:25:19,638:INFO:Preloading libraries
  17567. 2022-02-04 15:25:19,731:INFO:Copying training dataset
  17568. 2022-02-04 15:25:19,732:INFO:Copying test dataset
  17569. 2022-02-04 15:25:19,733:INFO:Plot type: error
  17570. 2022-02-04 15:25:19,737:INFO:Initializing get_config()
  17571. 2022-02-04 15:25:19,737:INFO:get_config(variable=prep_pipe)
  17572. 2022-02-04 15:25:19,740:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  17573. steps=[('dtypes',
  17574. DataTypes_Auto_infer(categorical_features=[],
  17575. display_types=True, features_todrop=[],
  17576. id_columns=[],
  17577. ml_usecase='classification',
  17578. numerical_features=[], target='label',
  17579. time_features=[])),
  17580. ('imputer',
  17581. Simple_Imputer(categorical_strategy='not_available',
  17582. fill_value_categorical=None,
  17583. fill_value_numerical=None,
  17584. numeric_strate...
  17585. target='label')),
  17586. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17587. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17588. ('dummy', Dummify(target='label')),
  17589. ('fix_perfect', Remove_100(target='label')),
  17590. ('clean_names', Clean_Colum_Names()),
  17591. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17592. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17593. verbose=False)
  17594. 2022-02-04 15:25:19,740:INFO:get_config() succesfully completed......................................
  17595. 2022-02-04 15:25:19,748:INFO:Fitting Model
  17596. 2022-02-04 15:25:19,749:INFO:Scoring test/hold-out set
  17597. 2022-02-04 15:25:19,890:INFO:Visual Rendered Successfully
  17598. 2022-02-04 15:25:19,989:INFO:plot_model() succesfully completed......................................
  17599. 2022-02-04 15:25:24,331:INFO:Initializing plot_model()
  17600. 2022-02-04 15:25:24,331:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17601. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17602. gamma=0, gpu_id=0, importance_type=None,
  17603. interaction_constraints='', learning_rate=0.300000012,
  17604. max_delta_step=0, max_depth=16, max_leaves=255,
  17605. min_child_weight=1, missing=nan, monotone_constraints='()',
  17606. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17607. objective='binary:logistic', predictor='auto', random_state=3750,
  17608. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17609. tree_method='gpu_hist', use_label_encoder=True,
  17610. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  17611. 2022-02-04 15:25:24,331:INFO:Checking exceptions
  17612. 2022-02-04 15:25:24,333:INFO:Preparing display monitor
  17613. 2022-02-04 15:25:24,337:INFO:Preloading libraries
  17614. 2022-02-04 15:25:24,428:INFO:Copying training dataset
  17615. 2022-02-04 15:25:24,430:INFO:Copying test dataset
  17616. 2022-02-04 15:25:24,430:INFO:Plot type: class_report
  17617. 2022-02-04 15:25:24,434:INFO:Initializing get_config()
  17618. 2022-02-04 15:25:24,434:INFO:get_config(variable=prep_pipe)
  17619. 2022-02-04 15:25:24,437:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  17620. steps=[('dtypes',
  17621. DataTypes_Auto_infer(categorical_features=[],
  17622. display_types=True, features_todrop=[],
  17623. id_columns=[],
  17624. ml_usecase='classification',
  17625. numerical_features=[], target='label',
  17626. time_features=[])),
  17627. ('imputer',
  17628. Simple_Imputer(categorical_strategy='not_available',
  17629. fill_value_categorical=None,
  17630. fill_value_numerical=None,
  17631. numeric_strate...
  17632. target='label')),
  17633. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17634. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17635. ('dummy', Dummify(target='label')),
  17636. ('fix_perfect', Remove_100(target='label')),
  17637. ('clean_names', Clean_Colum_Names()),
  17638. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17639. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17640. verbose=False)
  17641. 2022-02-04 15:25:24,437:INFO:get_config() succesfully completed......................................
  17642. 2022-02-04 15:25:24,445:INFO:Fitting Model
  17643. 2022-02-04 15:25:24,447:INFO:Scoring test/hold-out set
  17644. 2022-02-04 15:25:24,612:INFO:Visual Rendered Successfully
  17645. 2022-02-04 15:25:24,707:INFO:plot_model() succesfully completed......................................
  17646. 2022-02-04 15:26:05,671:INFO:Initializing plot_model()
  17647. 2022-02-04 15:26:05,671:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17648. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17649. gamma=0, gpu_id=0, importance_type=None,
  17650. interaction_constraints='', learning_rate=0.300000012,
  17651. max_delta_step=0, max_depth=16, max_leaves=255,
  17652. min_child_weight=1, missing=nan, monotone_constraints='()',
  17653. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17654. objective='binary:logistic', predictor='auto', random_state=3750,
  17655. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17656. tree_method='gpu_hist', use_label_encoder=True,
  17657. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  17658. 2022-02-04 15:26:05,671:INFO:Checking exceptions
  17659. 2022-02-04 15:26:05,673:INFO:Preparing display monitor
  17660. 2022-02-04 15:26:05,677:INFO:Preloading libraries
  17661. 2022-02-04 15:26:05,773:INFO:Copying training dataset
  17662. 2022-02-04 15:26:05,774:INFO:Copying test dataset
  17663. 2022-02-04 15:26:05,774:INFO:Plot type: feature_all
  17664. 2022-02-04 15:26:05,779:WARNING:No coef_ found. Trying feature_importances_
  17665. 2022-02-04 15:26:05,889:INFO:Visual Rendered Successfully
  17666. 2022-02-04 15:26:05,989:INFO:plot_model() succesfully completed......................................
  17667. 2022-02-04 15:26:10,817:INFO:Initializing plot_model()
  17668. 2022-02-04 15:26:10,817:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17669. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17670. gamma=0, gpu_id=0, importance_type=None,
  17671. interaction_constraints='', learning_rate=0.300000012,
  17672. max_delta_step=0, max_depth=16, max_leaves=255,
  17673. min_child_weight=1, missing=nan, monotone_constraints='()',
  17674. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17675. objective='binary:logistic', predictor='auto', random_state=3750,
  17676. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17677. tree_method='gpu_hist', use_label_encoder=True,
  17678. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
  17679. 2022-02-04 15:26:10,817:INFO:Checking exceptions
  17680. 2022-02-04 15:26:10,819:INFO:Preparing display monitor
  17681. 2022-02-04 15:26:10,823:INFO:Preloading libraries
  17682. 2022-02-04 15:26:10,915:INFO:Copying training dataset
  17683. 2022-02-04 15:26:10,916:INFO:Copying test dataset
  17684. 2022-02-04 15:26:10,916:INFO:Plot type: rfe
  17685. 2022-02-04 15:26:10,931:INFO:Fitting Model
  17686. 2022-02-04 15:33:43,230:INFO:PyCaret Supervised Module
  17687. 2022-02-04 15:33:43,230:INFO:ML Usecase: classification
  17688. 2022-02-04 15:33:43,230:INFO:version 2.3.6
  17689. 2022-02-04 15:33:43,230:INFO:Initializing setup()
  17690. 2022-02-04 15:33:43,230:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  17691. 2022-02-04 15:33:43,230:INFO:Checking environment
  17692. 2022-02-04 15:33:43,230:INFO:python_version: 3.8.12
  17693. 2022-02-04 15:33:43,230:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  17694. 2022-02-04 15:33:43,230:INFO:machine: AMD64
  17695. 2022-02-04 15:33:43,230:INFO:platform: Windows-10-10.0.22000-SP0
  17696. 2022-02-04 15:33:43,231:INFO:Memory: svmem(total=68629372928, available=44785848320, percent=34.7, used=23843524608, free=44785848320)
  17697. 2022-02-04 15:33:43,231:INFO:Physical Core: 16
  17698. 2022-02-04 15:33:43,231:INFO:Logical Core: 32
  17699. 2022-02-04 15:33:43,231:INFO:Checking libraries
  17700. 2022-02-04 15:33:43,231:INFO:pd==1.3.5
  17701. 2022-02-04 15:33:43,231:INFO:numpy==1.21.5
  17702. 2022-02-04 15:33:43,231:INFO:sklearn==0.23.2
  17703. 2022-02-04 15:33:43,231:INFO:lightgbm==3.3.2
  17704. 2022-02-04 15:33:43,243:INFO:catboost==1.0.4
  17705. 2022-02-04 15:33:43,336:INFO:xgboost==1.5.2
  17706. 2022-02-04 15:33:43,632:INFO:mlflow==1.23.1
  17707. 2022-02-04 15:33:43,633:INFO:Checking Exceptions
  17708. 2022-02-04 15:33:43,633:INFO:Declaring global variables
  17709. 2022-02-04 15:33:43,633:INFO:USI: 229f
  17710. 2022-02-04 15:33:43,633:INFO:pycaret_globals: {'log_plots_param', '_available_plots', 'transform_target_method_param', '_gpu_n_jobs_param', 'y', 'target_param', 'y_test', 'create_model_container', '_ml_usecase', '_all_models_internal', '_internal_pipeline', 'n_jobs_param', 'experiment__', 'y_train', 'logging_param', 'fix_imbalance_method_param', 'data_before_preprocess', 'display_container', 'gpu_param', 'stratify_param', 'imputation_regressor', 'pycaret_globals', 'fold_generator', 'master_model_container', 'imputation_classifier', 'fold_groups_param', 'fold_shuffle_param', 'prep_pipe', 'X_test', 'fold_groups_param_full', '_all_metrics', 'seed', 'transform_target_param', 'fold_param', 'USI', 'iterative_imputation_iters_param', '_all_models', 'X', 'X_train', 'fix_imbalance_param', 'exp_name_log', 'html_param'}
  17711. 2022-02-04 15:33:43,633:INFO:Preparing display monitor
  17712. 2022-02-04 15:33:43,633:INFO:Preparing display monitor
  17713. 2022-02-04 15:33:43,642:INFO:Importing libraries
  17714. 2022-02-04 15:33:43,643:INFO:Copying data for preprocessing
  17715. 2022-02-04 15:33:43,648:INFO:Declaring preprocessing parameters
  17716. 2022-02-04 15:33:43,649:WARNING:cuML not found
  17717. 2022-02-04 15:33:43,649:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  17718. 2022-02-04 15:33:43,652:INFO:Creating preprocessing pipeline
  17719. 2022-02-04 15:33:43,704:INFO:Preprocessing pipeline created successfully
  17720. 2022-02-04 15:33:43,704:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  17721. 2022-02-04 15:33:43,704:INFO:Creating global containers
  17722. 2022-02-04 15:33:43,706:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  17723. 2022-02-04 15:33:45,997:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  17724. 2022-02-04 15:33:46,032:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  17725. 2022-02-04 15:33:46,034:WARNING:Couldn't import cuml.MBSGDClassifier
  17726. 2022-02-04 15:33:46,035:WARNING:Couldn't import cuml.svm.SVC
  17727. 2022-02-04 15:33:46,055:WARNING:Couldn't import cuml.linear_model
  17728. 2022-02-04 15:33:46,059:WARNING:Couldn't import cuml.ensemble
  17729. 2022-02-04 15:33:46,251:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  17730. 2022-02-04 15:33:46,312:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  17731. 2022-02-04 15:33:46,313:WARNING:Couldn't import cuml.MBSGDClassifier
  17732. 2022-02-04 15:33:46,314:WARNING:Couldn't import cuml.svm.SVC
  17733. 2022-02-04 15:33:46,348:WARNING:Couldn't import cuml.linear_model
  17734. 2022-02-04 15:33:46,353:WARNING:Couldn't import cuml.ensemble
  17735. 2022-02-04 15:33:46,473:INFO:Creating grid variables
  17736. 2022-02-04 15:33:46,487:INFO:create_model_container: 0
  17737. 2022-02-04 15:33:46,487:INFO:master_model_container: 0
  17738. 2022-02-04 15:33:46,487:INFO:display_container: 1
  17739. 2022-02-04 15:33:46,493:INFO:Pipeline(memory=None,
  17740. steps=[('dtypes',
  17741. DataTypes_Auto_infer(categorical_features=[],
  17742. display_types=True, features_todrop=[],
  17743. id_columns=[],
  17744. ml_usecase='classification',
  17745. numerical_features=[], target='label',
  17746. time_features=[])),
  17747. ('imputer',
  17748. Simple_Imputer(categorical_strategy='not_available',
  17749. fill_value_categorical=None,
  17750. fill_value_numerical=None,
  17751. numeric_strate...
  17752. target='label')),
  17753. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17754. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17755. ('dummy', Dummify(target='label')),
  17756. ('fix_perfect', Remove_100(target='label')),
  17757. ('clean_names', Clean_Colum_Names()),
  17758. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17759. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17760. verbose=False)
  17761. 2022-02-04 15:33:46,494:INFO:setup() succesfully completed......................................
  17762. 2022-02-04 15:33:55,377:INFO:Initializing create_model()
  17763. 2022-02-04 15:33:55,378:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  17764. 2022-02-04 15:33:55,378:INFO:Checking exceptions
  17765. 2022-02-04 15:33:55,378:INFO:Preparing display monitor
  17766. 2022-02-04 15:33:55,389:INFO:Importing libraries
  17767. 2022-02-04 15:33:55,389:INFO:Copying training dataset
  17768. 2022-02-04 15:33:55,390:INFO:Defining folds
  17769. 2022-02-04 15:33:55,390:INFO:Declaring metric variables
  17770. 2022-02-04 15:33:55,396:INFO:Importing untrained model
  17771. 2022-02-04 15:33:55,401:INFO:Extreme Gradient Boosting Imported succesfully
  17772. 2022-02-04 15:33:55,410:INFO:Starting cross validation
  17773. 2022-02-04 15:33:55,411:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17774. 2022-02-04 15:34:27,741:INFO:Calculating mean and std
  17775. 2022-02-04 15:34:27,742:INFO:Creating metrics dataframe
  17776. 2022-02-04 15:34:27,753:INFO:Finalizing model
  17777. 2022-02-04 15:34:31,084:INFO:Uploading results into container
  17778. 2022-02-04 15:34:31,085:INFO:Uploading model into container now
  17779. 2022-02-04 15:34:31,093:INFO:create_model_container: 1
  17780. 2022-02-04 15:34:31,093:INFO:master_model_container: 1
  17781. 2022-02-04 15:34:31,093:INFO:display_container: 2
  17782. 2022-02-04 15:34:31,094:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17783. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17784. gamma=0, gpu_id=0, importance_type=None,
  17785. interaction_constraints='', learning_rate=0.300000012,
  17786. max_delta_step=0, max_depth=16, max_leaves=255,
  17787. min_child_weight=1, missing=nan, monotone_constraints='()',
  17788. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17789. objective='binary:logistic', predictor='auto', random_state=8974,
  17790. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17791. tree_method='gpu_hist', use_label_encoder=True,
  17792. validate_parameters=1, ...)
  17793. 2022-02-04 15:34:31,094:INFO:create_model() succesfully completed......................................
  17794. 2022-02-04 15:34:51,425:INFO:Initializing tune_model()
  17795. 2022-02-04 15:34:51,425:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17796. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17797. gamma=0, gpu_id=0, importance_type=None,
  17798. interaction_constraints='', learning_rate=0.300000012,
  17799. max_delta_step=0, max_depth=16, max_leaves=255,
  17800. min_child_weight=1, missing=nan, monotone_constraints='()',
  17801. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17802. objective='binary:logistic', predictor='auto', random_state=8974,
  17803. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17804. tree_method='gpu_hist', use_label_encoder=True,
  17805. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12]}, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  17806. 2022-02-04 15:34:51,425:INFO:Checking exceptions
  17807. 2022-02-04 15:34:51,426:INFO:Preparing display monitor
  17808. 2022-02-04 15:34:51,437:INFO:Copying training dataset
  17809. 2022-02-04 15:34:51,438:INFO:Checking base model
  17810. 2022-02-04 15:34:51,438:INFO:Base model : Extreme Gradient Boosting
  17811. 2022-02-04 15:34:51,445:INFO:Declaring metric variables
  17812. 2022-02-04 15:34:51,450:INFO:Defining Hyperparameters
  17813. 2022-02-04 15:34:51,547:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12]}
  17814. 2022-02-04 15:34:51,547:INFO:Tuning with n_jobs=1
  17815. 2022-02-04 15:34:51,547:INFO:Initializing RandomizedSearchCV
  17816. 2022-02-04 15:37:16,408:INFO:best_params: {'actual_estimator__max_depth': 16}
  17817. 2022-02-04 15:37:16,409:INFO:Hyperparameter search completed
  17818. 2022-02-04 15:37:16,409:INFO:SubProcess create_model() called ==================================
  17819. 2022-02-04 15:37:16,410:INFO:Initializing create_model()
  17820. 2022-02-04 15:37:16,410:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17821. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17822. gamma=0, gpu_id=0, importance_type=None,
  17823. interaction_constraints='', learning_rate=0.300000012,
  17824. max_delta_step=0, max_depth=16, max_leaves=255,
  17825. min_child_weight=1, missing=nan, monotone_constraints='()',
  17826. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17827. objective='binary:logistic', predictor='auto', random_state=8974,
  17828. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17829. tree_method='gpu_hist', use_label_encoder=True,
  17830. validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000014CC65C5FA0>, kwargs={'max_depth': 16})
  17831. 2022-02-04 15:37:16,410:INFO:Checking exceptions
  17832. 2022-02-04 15:37:16,410:INFO:Importing libraries
  17833. 2022-02-04 15:37:16,410:INFO:Copying training dataset
  17834. 2022-02-04 15:37:16,411:INFO:Defining folds
  17835. 2022-02-04 15:37:16,412:INFO:Declaring metric variables
  17836. 2022-02-04 15:37:16,418:INFO:Importing untrained model
  17837. 2022-02-04 15:37:16,419:INFO:Declaring custom model
  17838. 2022-02-04 15:37:16,426:INFO:Extreme Gradient Boosting Imported succesfully
  17839. 2022-02-04 15:37:16,442:INFO:Starting cross validation
  17840. 2022-02-04 15:37:16,443:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  17841. 2022-02-04 15:37:50,240:INFO:Calculating mean and std
  17842. 2022-02-04 15:37:50,241:INFO:Creating metrics dataframe
  17843. 2022-02-04 15:37:50,251:INFO:Finalizing model
  17844. 2022-02-04 15:37:53,479:INFO:Uploading results into container
  17845. 2022-02-04 15:37:53,479:INFO:Uploading model into container now
  17846. 2022-02-04 15:37:53,479:INFO:create_model_container: 2
  17847. 2022-02-04 15:37:53,480:INFO:master_model_container: 2
  17848. 2022-02-04 15:37:53,480:INFO:display_container: 3
  17849. 2022-02-04 15:37:53,481:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17850. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17851. gamma=0, gpu_id=0, importance_type=None,
  17852. interaction_constraints='', learning_rate=0.300000012,
  17853. max_delta_step=0, max_depth=16, max_leaves=255,
  17854. min_child_weight=1, missing=nan, monotone_constraints='()',
  17855. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17856. objective='binary:logistic', predictor='auto', random_state=8974,
  17857. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17858. tree_method='gpu_hist', use_label_encoder=True,
  17859. validate_parameters=1, ...)
  17860. 2022-02-04 15:37:53,481:INFO:create_model() succesfully completed......................................
  17861. 2022-02-04 15:37:53,566:INFO:SubProcess create_model() end ==================================
  17862. 2022-02-04 15:37:53,575:INFO:create_model_container: 2
  17863. 2022-02-04 15:37:53,575:INFO:master_model_container: 2
  17864. 2022-02-04 15:37:53,575:INFO:display_container: 3
  17865. 2022-02-04 15:37:53,576:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17866. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17867. gamma=0, gpu_id=0, importance_type=None,
  17868. interaction_constraints='', learning_rate=0.300000012,
  17869. max_delta_step=0, max_depth=16, max_leaves=255,
  17870. min_child_weight=1, missing=nan, monotone_constraints='()',
  17871. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17872. objective='binary:logistic', predictor='auto', random_state=8974,
  17873. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17874. tree_method='gpu_hist', use_label_encoder=True,
  17875. validate_parameters=1, ...)
  17876. 2022-02-04 15:37:53,576:INFO:tune_model() succesfully completed......................................
  17877. 2022-02-04 15:38:12,611:INFO:Initializing evaluate_model()
  17878. 2022-02-04 15:38:12,611:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17879. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17880. gamma=0, gpu_id=0, importance_type=None,
  17881. interaction_constraints='', learning_rate=0.300000012,
  17882. max_delta_step=0, max_depth=16, max_leaves=255,
  17883. min_child_weight=1, missing=nan, monotone_constraints='()',
  17884. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17885. objective='binary:logistic', predictor='auto', random_state=8974,
  17886. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17887. tree_method='gpu_hist', use_label_encoder=True,
  17888. validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  17889. 2022-02-04 15:38:12,625:INFO:Initializing plot_model()
  17890. 2022-02-04 15:38:12,625:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17891. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17892. gamma=0, gpu_id=0, importance_type=None,
  17893. interaction_constraints='', learning_rate=0.300000012,
  17894. max_delta_step=0, max_depth=16, max_leaves=255,
  17895. min_child_weight=1, missing=nan, monotone_constraints='()',
  17896. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17897. objective='binary:logistic', predictor='auto', random_state=8974,
  17898. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17899. tree_method='gpu_hist', use_label_encoder=True,
  17900. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  17901. 2022-02-04 15:38:12,625:INFO:Checking exceptions
  17902. 2022-02-04 15:38:12,627:INFO:Preparing display monitor
  17903. 2022-02-04 15:38:12,631:INFO:Preloading libraries
  17904. 2022-02-04 15:38:12,724:INFO:Copying training dataset
  17905. 2022-02-04 15:38:12,725:INFO:Copying test dataset
  17906. 2022-02-04 15:38:12,725:INFO:Plot type: parameter
  17907. 2022-02-04 15:38:12,733:INFO:Visual Rendered Successfully
  17908. 2022-02-04 15:38:12,821:INFO:plot_model() succesfully completed......................................
  17909. 2022-02-04 15:38:15,395:INFO:Initializing plot_model()
  17910. 2022-02-04 15:38:15,395:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17911. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17912. gamma=0, gpu_id=0, importance_type=None,
  17913. interaction_constraints='', learning_rate=0.300000012,
  17914. max_delta_step=0, max_depth=16, max_leaves=255,
  17915. min_child_weight=1, missing=nan, monotone_constraints='()',
  17916. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17917. objective='binary:logistic', predictor='auto', random_state=8974,
  17918. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17919. tree_method='gpu_hist', use_label_encoder=True,
  17920. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  17921. 2022-02-04 15:38:15,395:INFO:Checking exceptions
  17922. 2022-02-04 15:38:15,397:INFO:Preparing display monitor
  17923. 2022-02-04 15:38:15,401:INFO:Preloading libraries
  17924. 2022-02-04 15:38:15,494:INFO:Copying training dataset
  17925. 2022-02-04 15:38:15,495:INFO:Copying test dataset
  17926. 2022-02-04 15:38:15,496:INFO:Plot type: confusion_matrix
  17927. 2022-02-04 15:38:15,500:INFO:Initializing get_config()
  17928. 2022-02-04 15:38:15,500:INFO:get_config(variable=prep_pipe)
  17929. 2022-02-04 15:38:15,504:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  17930. steps=[('dtypes',
  17931. DataTypes_Auto_infer(categorical_features=[],
  17932. display_types=True, features_todrop=[],
  17933. id_columns=[],
  17934. ml_usecase='classification',
  17935. numerical_features=[], target='label',
  17936. time_features=[])),
  17937. ('imputer',
  17938. Simple_Imputer(categorical_strategy='not_available',
  17939. fill_value_categorical=None,
  17940. fill_value_numerical=None,
  17941. numeric_strate...
  17942. target='label')),
  17943. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17944. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17945. ('dummy', Dummify(target='label')),
  17946. ('fix_perfect', Remove_100(target='label')),
  17947. ('clean_names', Clean_Colum_Names()),
  17948. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17949. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17950. verbose=False)
  17951. 2022-02-04 15:38:15,504:INFO:get_config() succesfully completed......................................
  17952. 2022-02-04 15:38:15,517:INFO:Fitting Model
  17953. 2022-02-04 15:38:15,518:INFO:Scoring test/hold-out set
  17954. 2022-02-04 15:38:15,681:INFO:Visual Rendered Successfully
  17955. 2022-02-04 15:38:15,768:INFO:plot_model() succesfully completed......................................
  17956. 2022-02-04 15:38:21,104:INFO:Initializing plot_model()
  17957. 2022-02-04 15:38:21,104:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  17958. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  17959. gamma=0, gpu_id=0, importance_type=None,
  17960. interaction_constraints='', learning_rate=0.300000012,
  17961. max_delta_step=0, max_depth=16, max_leaves=255,
  17962. min_child_weight=1, missing=nan, monotone_constraints='()',
  17963. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  17964. objective='binary:logistic', predictor='auto', random_state=8974,
  17965. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  17966. tree_method='gpu_hist', use_label_encoder=True,
  17967. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  17968. 2022-02-04 15:38:21,104:INFO:Checking exceptions
  17969. 2022-02-04 15:38:21,106:INFO:Preparing display monitor
  17970. 2022-02-04 15:38:21,109:INFO:Preloading libraries
  17971. 2022-02-04 15:38:21,200:INFO:Copying training dataset
  17972. 2022-02-04 15:38:21,201:INFO:Copying test dataset
  17973. 2022-02-04 15:38:21,201:INFO:Plot type: class_report
  17974. 2022-02-04 15:38:21,205:INFO:Initializing get_config()
  17975. 2022-02-04 15:38:21,205:INFO:get_config(variable=prep_pipe)
  17976. 2022-02-04 15:38:21,208:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  17977. steps=[('dtypes',
  17978. DataTypes_Auto_infer(categorical_features=[],
  17979. display_types=True, features_todrop=[],
  17980. id_columns=[],
  17981. ml_usecase='classification',
  17982. numerical_features=[], target='label',
  17983. time_features=[])),
  17984. ('imputer',
  17985. Simple_Imputer(categorical_strategy='not_available',
  17986. fill_value_categorical=None,
  17987. fill_value_numerical=None,
  17988. numeric_strate...
  17989. target='label')),
  17990. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  17991. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  17992. ('dummy', Dummify(target='label')),
  17993. ('fix_perfect', Remove_100(target='label')),
  17994. ('clean_names', Clean_Colum_Names()),
  17995. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  17996. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  17997. verbose=False)
  17998. 2022-02-04 15:38:21,208:INFO:get_config() succesfully completed......................................
  17999. 2022-02-04 15:38:21,216:INFO:Fitting Model
  18000. 2022-02-04 15:38:21,217:INFO:Scoring test/hold-out set
  18001. 2022-02-04 15:38:21,379:INFO:Visual Rendered Successfully
  18002. 2022-02-04 15:38:21,472:INFO:plot_model() succesfully completed......................................
  18003. 2022-02-04 15:38:31,617:INFO:Initializing plot_model()
  18004. 2022-02-04 15:38:31,617:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18005. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18006. gamma=0, gpu_id=0, importance_type=None,
  18007. interaction_constraints='', learning_rate=0.300000012,
  18008. max_delta_step=0, max_depth=16, max_leaves=255,
  18009. min_child_weight=1, missing=nan, monotone_constraints='()',
  18010. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18011. objective='binary:logistic', predictor='auto', random_state=8974,
  18012. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18013. tree_method='gpu_hist', use_label_encoder=True,
  18014. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  18015. 2022-02-04 15:38:31,617:INFO:Checking exceptions
  18016. 2022-02-04 15:38:31,620:INFO:Preparing display monitor
  18017. 2022-02-04 15:38:31,623:INFO:Preloading libraries
  18018. 2022-02-04 15:38:31,713:INFO:Copying training dataset
  18019. 2022-02-04 15:38:31,714:INFO:Copying test dataset
  18020. 2022-02-04 15:38:31,715:INFO:Plot type: feature_all
  18021. 2022-02-04 15:38:31,719:WARNING:No coef_ found. Trying feature_importances_
  18022. 2022-02-04 15:38:31,827:INFO:Visual Rendered Successfully
  18023. 2022-02-04 15:38:31,915:INFO:plot_model() succesfully completed......................................
  18024. 2022-02-04 16:03:12,528:INFO:Initializing create_model()
  18025. 2022-02-04 16:03:12,528:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 255})
  18026. 2022-02-04 16:03:12,528:INFO:Checking exceptions
  18027. 2022-02-04 16:03:12,528:INFO:Preparing display monitor
  18028. 2022-02-04 16:03:12,541:INFO:Importing libraries
  18029. 2022-02-04 16:03:12,541:INFO:Copying training dataset
  18030. 2022-02-04 16:03:12,542:INFO:Defining folds
  18031. 2022-02-04 16:03:12,542:INFO:Declaring metric variables
  18032. 2022-02-04 16:03:12,547:INFO:Importing untrained model
  18033. 2022-02-04 16:03:12,552:INFO:Extreme Gradient Boosting Imported succesfully
  18034. 2022-02-04 16:03:12,562:INFO:Starting cross validation
  18035. 2022-02-04 16:03:12,563:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18036. 2022-02-04 16:03:50,223:INFO:Calculating mean and std
  18037. 2022-02-04 16:03:50,224:INFO:Creating metrics dataframe
  18038. 2022-02-04 16:03:50,234:INFO:Finalizing model
  18039. 2022-02-04 16:03:54,493:INFO:Uploading results into container
  18040. 2022-02-04 16:03:54,493:INFO:Uploading model into container now
  18041. 2022-02-04 16:03:54,501:INFO:create_model_container: 3
  18042. 2022-02-04 16:03:54,501:INFO:master_model_container: 3
  18043. 2022-02-04 16:03:54,501:INFO:display_container: 4
  18044. 2022-02-04 16:03:54,503:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18045. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18046. gamma=0, gpu_id=0, importance_type=None,
  18047. interaction_constraints='', learning_rate=0.300000012,
  18048. max_delta_step=0, max_depth=16, max_leaves=255,
  18049. min_child_weight=1, missing=nan, monotone_constraints='()',
  18050. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18051. objective='binary:logistic', predictor='auto', random_state=8974,
  18052. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18053. tree_method='gpu_hist', use_label_encoder=True,
  18054. validate_parameters=1, ...)
  18055. 2022-02-04 16:03:54,503:INFO:create_model() succesfully completed......................................
  18056. 2022-02-04 16:16:08,485:INFO:Initializing plot_model()
  18057. 2022-02-04 16:16:08,485:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18058. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18059. gamma=0, gpu_id=0, importance_type=None,
  18060. interaction_constraints='', learning_rate=0.300000012,
  18061. max_delta_step=0, max_depth=16, max_leaves=255,
  18062. min_child_weight=1, missing=nan, monotone_constraints='()',
  18063. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18064. objective='binary:logistic', predictor='auto', random_state=8974,
  18065. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18066. tree_method='gpu_hist', use_label_encoder=True,
  18067. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
  18068. 2022-02-04 16:16:08,485:INFO:Checking exceptions
  18069. 2022-02-04 16:16:08,487:INFO:Preparing display monitor
  18070. 2022-02-04 16:16:08,491:INFO:Preloading libraries
  18071. 2022-02-04 16:16:08,581:INFO:Copying training dataset
  18072. 2022-02-04 16:16:08,583:INFO:Copying test dataset
  18073. 2022-02-04 16:16:08,583:INFO:Plot type: feature
  18074. 2022-02-04 16:16:08,587:WARNING:No coef_ found. Trying feature_importances_
  18075. 2022-02-04 16:16:08,665:INFO:Visual Rendered Successfully
  18076. 2022-02-04 16:16:08,769:INFO:plot_model() succesfully completed......................................
  18077. 2022-02-04 16:16:14,942:INFO:Initializing plot_model()
  18078. 2022-02-04 16:16:14,942:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18079. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18080. gamma=0, gpu_id=0, importance_type=None,
  18081. interaction_constraints='', learning_rate=0.300000012,
  18082. max_delta_step=0, max_depth=16, max_leaves=255,
  18083. min_child_weight=1, missing=nan, monotone_constraints='()',
  18084. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18085. objective='binary:logistic', predictor='auto', random_state=8974,
  18086. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18087. tree_method='gpu_hist', use_label_encoder=True,
  18088. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  18089. 2022-02-04 16:16:14,942:INFO:Checking exceptions
  18090. 2022-02-04 16:16:14,944:INFO:Preparing display monitor
  18091. 2022-02-04 16:16:14,948:INFO:Preloading libraries
  18092. 2022-02-04 16:16:15,039:INFO:Copying training dataset
  18093. 2022-02-04 16:16:15,040:INFO:Copying test dataset
  18094. 2022-02-04 16:16:15,040:INFO:Plot type: gain
  18095. 2022-02-04 16:16:15,044:INFO:Generating predictions / predict_proba on X_test
  18096. 2022-02-04 16:16:15,267:INFO:Visual Rendered Successfully
  18097. 2022-02-04 16:16:15,350:INFO:plot_model() succesfully completed......................................
  18098. 2022-02-04 16:16:19,871:INFO:Initializing plot_model()
  18099. 2022-02-04 16:16:19,871:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18100. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18101. gamma=0, gpu_id=0, importance_type=None,
  18102. interaction_constraints='', learning_rate=0.300000012,
  18103. max_delta_step=0, max_depth=16, max_leaves=255,
  18104. min_child_weight=1, missing=nan, monotone_constraints='()',
  18105. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18106. objective='binary:logistic', predictor='auto', random_state=8974,
  18107. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18108. tree_method='gpu_hist', use_label_encoder=True,
  18109. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  18110. 2022-02-04 16:16:19,871:INFO:Checking exceptions
  18111. 2022-02-04 16:16:19,873:INFO:Preparing display monitor
  18112. 2022-02-04 16:16:19,877:INFO:Preloading libraries
  18113. 2022-02-04 16:16:19,973:INFO:Copying training dataset
  18114. 2022-02-04 16:16:19,974:INFO:Copying test dataset
  18115. 2022-02-04 16:16:19,975:INFO:Plot type: lift
  18116. 2022-02-04 16:16:19,979:INFO:Generating predictions / predict_proba on X_test
  18117. 2022-02-04 16:16:20,211:INFO:Visual Rendered Successfully
  18118. 2022-02-04 16:16:20,306:INFO:plot_model() succesfully completed......................................
  18119. 2022-02-04 16:16:24,343:INFO:Initializing plot_model()
  18120. 2022-02-04 16:16:24,343:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18121. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18122. gamma=0, gpu_id=0, importance_type=None,
  18123. interaction_constraints='', learning_rate=0.300000012,
  18124. max_delta_step=0, max_depth=16, max_leaves=255,
  18125. min_child_weight=1, missing=nan, monotone_constraints='()',
  18126. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18127. objective='binary:logistic', predictor='auto', random_state=8974,
  18128. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18129. tree_method='gpu_hist', use_label_encoder=True,
  18130. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
  18131. 2022-02-04 16:16:24,343:INFO:Checking exceptions
  18132. 2022-02-04 16:16:24,345:INFO:Preparing display monitor
  18133. 2022-02-04 16:16:24,349:INFO:Preloading libraries
  18134. 2022-02-04 16:16:24,442:INFO:Copying training dataset
  18135. 2022-02-04 16:16:24,442:INFO:Copying test dataset
  18136. 2022-02-04 16:16:24,443:INFO:Plot type: ks
  18137. 2022-02-04 16:16:24,447:INFO:Generating predictions / predict_proba on X_test
  18138. 2022-02-04 16:16:24,720:INFO:Visual Rendered Successfully
  18139. 2022-02-04 16:16:24,805:INFO:plot_model() succesfully completed......................................
  18140. 2022-02-04 16:16:26,680:INFO:Initializing plot_model()
  18141. 2022-02-04 16:16:26,680:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18142. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18143. gamma=0, gpu_id=0, importance_type=None,
  18144. interaction_constraints='', learning_rate=0.300000012,
  18145. max_delta_step=0, max_depth=16, max_leaves=255,
  18146. min_child_weight=1, missing=nan, monotone_constraints='()',
  18147. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18148. objective='binary:logistic', predictor='auto', random_state=8974,
  18149. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18150. tree_method='gpu_hist', use_label_encoder=True,
  18151. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
  18152. 2022-02-04 16:16:26,680:INFO:Checking exceptions
  18153. 2022-02-04 16:16:39,192:INFO:Initializing plot_model()
  18154. 2022-02-04 16:16:39,193:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18155. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18156. gamma=0, gpu_id=0, importance_type=None,
  18157. interaction_constraints='', learning_rate=0.300000012,
  18158. max_delta_step=0, max_depth=16, max_leaves=255,
  18159. min_child_weight=1, missing=nan, monotone_constraints='()',
  18160. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18161. objective='binary:logistic', predictor='auto', random_state=8974,
  18162. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18163. tree_method='gpu_hist', use_label_encoder=True,
  18164. validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=manifold, plot_kwargs={}, save=False, scale=1, system=True)
  18165. 2022-02-04 16:16:39,193:INFO:Checking exceptions
  18166. 2022-02-04 16:16:39,194:INFO:Preparing display monitor
  18167. 2022-02-04 16:16:39,198:INFO:Preloading libraries
  18168. 2022-02-04 16:16:39,288:INFO:Copying training dataset
  18169. 2022-02-04 16:16:39,289:INFO:Copying test dataset
  18170. 2022-02-04 16:16:39,289:INFO:Plot type: manifold
  18171. 2022-02-04 16:16:39,347:INFO:Fitting & Transforming Model
  18172. 2022-02-04 16:18:47,644:INFO:Visual Rendered Successfully
  18173. 2022-02-04 16:18:47,762:INFO:plot_model() succesfully completed......................................
  18174. 2022-02-04 16:19:32,640:INFO:Initializing tune_model()
  18175. 2022-02-04 16:19:32,641:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18176. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18177. gamma=0, gpu_id=0, importance_type=None,
  18178. interaction_constraints='', learning_rate=0.300000012,
  18179. max_delta_step=0, max_depth=16, max_leaves=255,
  18180. min_child_weight=1, missing=nan, monotone_constraints='()',
  18181. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18182. objective='binary:logistic', predictor='auto', random_state=8974,
  18183. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18184. tree_method='gpu_hist', use_label_encoder=True,
  18185. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12], 'learning_rate': [0.1]}, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  18186. 2022-02-04 16:19:32,641:INFO:Checking exceptions
  18187. 2022-02-04 16:19:32,641:INFO:Preparing display monitor
  18188. 2022-02-04 16:19:32,652:INFO:Copying training dataset
  18189. 2022-02-04 16:19:32,654:INFO:Checking base model
  18190. 2022-02-04 16:19:32,654:INFO:Base model : Extreme Gradient Boosting
  18191. 2022-02-04 16:19:32,659:INFO:Declaring metric variables
  18192. 2022-02-04 16:19:32,664:INFO:Defining Hyperparameters
  18193. 2022-02-04 16:19:32,784:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12], 'actual_estimator__learning_rate': [0.1]}
  18194. 2022-02-04 16:19:32,784:INFO:Tuning with n_jobs=1
  18195. 2022-02-04 16:19:32,784:INFO:Initializing RandomizedSearchCV
  18196. 2022-02-04 16:22:48,394:INFO:best_params: {'actual_estimator__max_depth': 16, 'actual_estimator__learning_rate': 0.1}
  18197. 2022-02-04 16:22:48,395:INFO:Hyperparameter search completed
  18198. 2022-02-04 16:22:48,395:INFO:SubProcess create_model() called ==================================
  18199. 2022-02-04 16:22:48,396:INFO:Initializing create_model()
  18200. 2022-02-04 16:22:48,396:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18201. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18202. gamma=0, gpu_id=0, importance_type=None,
  18203. interaction_constraints='', learning_rate=0.300000012,
  18204. max_delta_step=0, max_depth=16, max_leaves=255,
  18205. min_child_weight=1, missing=nan, monotone_constraints='()',
  18206. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18207. objective='binary:logistic', predictor='auto', random_state=8974,
  18208. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18209. tree_method='gpu_hist', use_label_encoder=True,
  18210. validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000014CADC07850>, kwargs={'max_depth': 16, 'learning_rate': 0.1})
  18211. 2022-02-04 16:22:48,396:INFO:Checking exceptions
  18212. 2022-02-04 16:22:48,396:INFO:Importing libraries
  18213. 2022-02-04 16:22:48,396:INFO:Copying training dataset
  18214. 2022-02-04 16:22:48,398:INFO:Defining folds
  18215. 2022-02-04 16:22:48,398:INFO:Declaring metric variables
  18216. 2022-02-04 16:22:48,405:INFO:Importing untrained model
  18217. 2022-02-04 16:22:48,405:INFO:Declaring custom model
  18218. 2022-02-04 16:22:48,413:INFO:Extreme Gradient Boosting Imported succesfully
  18219. 2022-02-04 16:22:48,426:INFO:Starting cross validation
  18220. 2022-02-04 16:22:48,427:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18221. 2022-02-04 16:23:37,960:INFO:Calculating mean and std
  18222. 2022-02-04 16:23:37,961:INFO:Creating metrics dataframe
  18223. 2022-02-04 16:23:37,971:INFO:Finalizing model
  18224. 2022-02-04 16:23:42,083:INFO:Uploading results into container
  18225. 2022-02-04 16:23:42,084:INFO:Uploading model into container now
  18226. 2022-02-04 16:23:42,084:INFO:create_model_container: 4
  18227. 2022-02-04 16:23:42,084:INFO:master_model_container: 4
  18228. 2022-02-04 16:23:42,084:INFO:display_container: 5
  18229. 2022-02-04 16:23:42,085:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18230. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18231. gamma=0, gpu_id=0, importance_type=None,
  18232. interaction_constraints='', learning_rate=0.1, max_delta_step=0,
  18233. max_depth=16, max_leaves=255, min_child_weight=1, missing=nan,
  18234. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18235. num_parallel_tree=1, objective='binary:logistic',
  18236. predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
  18237. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18238. use_label_encoder=True, validate_parameters=1, ...)
  18239. 2022-02-04 16:23:42,085:INFO:create_model() succesfully completed......................................
  18240. 2022-02-04 16:23:42,208:INFO:SubProcess create_model() end ==================================
  18241. 2022-02-04 16:23:42,216:INFO:create_model_container: 4
  18242. 2022-02-04 16:23:42,216:INFO:master_model_container: 4
  18243. 2022-02-04 16:23:42,216:INFO:display_container: 5
  18244. 2022-02-04 16:23:42,218:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18245. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18246. gamma=0, gpu_id=0, importance_type=None,
  18247. interaction_constraints='', learning_rate=0.1, max_delta_step=0,
  18248. max_depth=16, max_leaves=255, min_child_weight=1, missing=nan,
  18249. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18250. num_parallel_tree=1, objective='binary:logistic',
  18251. predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
  18252. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18253. use_label_encoder=True, validate_parameters=1, ...)
  18254. 2022-02-04 16:23:42,218:INFO:tune_model() succesfully completed......................................
  18255. 2022-02-04 16:25:40,710:INFO:Initializing tune_model()
  18256. 2022-02-04 16:25:40,710:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18257. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18258. gamma=0, gpu_id=0, importance_type=None,
  18259. interaction_constraints='', learning_rate=0.300000012,
  18260. max_delta_step=0, max_depth=16, max_leaves=255,
  18261. min_child_weight=1, missing=nan, monotone_constraints='()',
  18262. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18263. objective='binary:logistic', predictor='auto', random_state=8974,
  18264. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18265. tree_method='gpu_hist', use_label_encoder=True,
  18266. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12], 'max_leaves': [2048, 4096], 'learning_rate': [0.1, 0.5]}, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  18267. 2022-02-04 16:25:40,710:INFO:Checking exceptions
  18268. 2022-02-04 16:25:40,711:INFO:Preparing display monitor
  18269. 2022-02-04 16:25:40,721:INFO:Copying training dataset
  18270. 2022-02-04 16:25:40,722:INFO:Checking base model
  18271. 2022-02-04 16:25:40,722:INFO:Base model : Extreme Gradient Boosting
  18272. 2022-02-04 16:25:40,728:INFO:Declaring metric variables
  18273. 2022-02-04 16:25:40,733:INFO:Defining Hyperparameters
  18274. 2022-02-04 16:25:40,859:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12], 'actual_estimator__max_leaves': [2048, 4096], 'actual_estimator__learning_rate': [0.1, 0.5]}
  18275. 2022-02-04 16:25:40,859:INFO:Tuning with n_jobs=1
  18276. 2022-02-04 16:25:40,859:INFO:Initializing RandomizedSearchCV
  18277. 2022-02-04 16:32:19,442:INFO:best_params: {'actual_estimator__max_leaves': 2048, 'actual_estimator__max_depth': 13, 'actual_estimator__learning_rate': 0.5}
  18278. 2022-02-04 16:32:19,442:INFO:Hyperparameter search completed
  18279. 2022-02-04 16:32:19,443:INFO:SubProcess create_model() called ==================================
  18280. 2022-02-04 16:32:19,444:INFO:Initializing create_model()
  18281. 2022-02-04 16:32:19,444:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18282. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18283. gamma=0, gpu_id=0, importance_type=None,
  18284. interaction_constraints='', learning_rate=0.300000012,
  18285. max_delta_step=0, max_depth=16, max_leaves=255,
  18286. min_child_weight=1, missing=nan, monotone_constraints='()',
  18287. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18288. objective='binary:logistic', predictor='auto', random_state=8974,
  18289. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18290. tree_method='gpu_hist', use_label_encoder=True,
  18291. validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000014CACE227F0>, kwargs={'max_leaves': 2048, 'max_depth': 13, 'learning_rate': 0.5})
  18292. 2022-02-04 16:32:19,444:INFO:Checking exceptions
  18293. 2022-02-04 16:32:19,444:INFO:Importing libraries
  18294. 2022-02-04 16:32:19,444:INFO:Copying training dataset
  18295. 2022-02-04 16:32:19,445:INFO:Defining folds
  18296. 2022-02-04 16:32:19,445:INFO:Declaring metric variables
  18297. 2022-02-04 16:32:19,452:INFO:Importing untrained model
  18298. 2022-02-04 16:32:19,452:INFO:Declaring custom model
  18299. 2022-02-04 16:32:19,460:INFO:Extreme Gradient Boosting Imported succesfully
  18300. 2022-02-04 16:32:19,473:INFO:Starting cross validation
  18301. 2022-02-04 16:32:19,475:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18302. 2022-02-04 16:32:42,004:INFO:Calculating mean and std
  18303. 2022-02-04 16:32:42,004:INFO:Creating metrics dataframe
  18304. 2022-02-04 16:32:42,014:INFO:Finalizing model
  18305. 2022-02-04 16:32:44,608:INFO:Uploading results into container
  18306. 2022-02-04 16:32:44,609:INFO:Uploading model into container now
  18307. 2022-02-04 16:32:44,609:INFO:create_model_container: 5
  18308. 2022-02-04 16:32:44,609:INFO:master_model_container: 5
  18309. 2022-02-04 16:32:44,609:INFO:display_container: 6
  18310. 2022-02-04 16:32:44,610:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18311. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18312. gamma=0, gpu_id=0, importance_type=None,
  18313. interaction_constraints='', learning_rate=0.5, max_delta_step=0,
  18314. max_depth=13, max_leaves=2048, min_child_weight=1, missing=nan,
  18315. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18316. num_parallel_tree=1, objective='binary:logistic',
  18317. predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
  18318. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18319. use_label_encoder=True, validate_parameters=1, ...)
  18320. 2022-02-04 16:32:44,610:INFO:create_model() succesfully completed......................................
  18321. 2022-02-04 16:32:44,725:INFO:SubProcess create_model() end ==================================
  18322. 2022-02-04 16:32:44,733:INFO:create_model_container: 5
  18323. 2022-02-04 16:32:44,733:INFO:master_model_container: 5
  18324. 2022-02-04 16:32:44,734:INFO:display_container: 6
  18325. 2022-02-04 16:32:44,735:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18326. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18327. gamma=0, gpu_id=0, importance_type=None,
  18328. interaction_constraints='', learning_rate=0.5, max_delta_step=0,
  18329. max_depth=13, max_leaves=2048, min_child_weight=1, missing=nan,
  18330. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18331. num_parallel_tree=1, objective='binary:logistic',
  18332. predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
  18333. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18334. use_label_encoder=True, validate_parameters=1, ...)
  18335. 2022-02-04 16:32:44,735:INFO:tune_model() succesfully completed......................................
  18336. 2022-02-04 16:37:06,383:INFO:Initializing tune_model()
  18337. 2022-02-04 16:37:06,384:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18338. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18339. gamma=0, gpu_id=0, importance_type=None,
  18340. interaction_constraints='', learning_rate=0.300000012,
  18341. max_delta_step=0, max_depth=16, max_leaves=255,
  18342. min_child_weight=1, missing=nan, monotone_constraints='()',
  18343. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18344. objective='binary:logistic', predictor='auto', random_state=8974,
  18345. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18346. tree_method='gpu_hist', use_label_encoder=True,
  18347. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12], 'max_leaves': [4096, 2048], 'learning_rate': [0.1, 0.05]}, optimize=F1, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  18348. 2022-02-04 16:37:06,384:INFO:Checking exceptions
  18349. 2022-02-04 16:37:06,384:INFO:Preparing display monitor
  18350. 2022-02-04 16:37:06,396:INFO:Copying training dataset
  18351. 2022-02-04 16:37:06,397:INFO:Checking base model
  18352. 2022-02-04 16:37:06,398:INFO:Base model : Extreme Gradient Boosting
  18353. 2022-02-04 16:37:06,403:INFO:Declaring metric variables
  18354. 2022-02-04 16:37:06,408:INFO:Defining Hyperparameters
  18355. 2022-02-04 16:37:06,533:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12], 'actual_estimator__max_leaves': [4096, 2048], 'actual_estimator__learning_rate': [0.1, 0.05]}
  18356. 2022-02-04 16:37:06,533:INFO:Tuning with n_jobs=1
  18357. 2022-02-04 16:37:06,533:INFO:Initializing RandomizedSearchCV
  18358. 2022-02-04 16:38:36,171:INFO:PyCaret Supervised Module
  18359. 2022-02-04 16:38:36,172:INFO:ML Usecase: classification
  18360. 2022-02-04 16:38:36,172:INFO:version 2.3.6
  18361. 2022-02-04 16:38:36,172:INFO:Initializing setup()
  18362. 2022-02-04 16:38:36,172:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  18363. 2022-02-04 16:38:36,172:INFO:Checking environment
  18364. 2022-02-04 16:38:36,172:INFO:python_version: 3.8.12
  18365. 2022-02-04 16:38:36,172:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  18366. 2022-02-04 16:38:36,172:INFO:machine: AMD64
  18367. 2022-02-04 16:38:36,172:INFO:platform: Windows-10-10.0.22000-SP0
  18368. 2022-02-04 16:38:36,172:INFO:Memory: svmem(total=68629372928, available=42952548352, percent=37.4, used=25676824576, free=42952548352)
  18369. 2022-02-04 16:38:36,172:INFO:Physical Core: 16
  18370. 2022-02-04 16:38:36,172:INFO:Logical Core: 32
  18371. 2022-02-04 16:38:36,172:INFO:Checking libraries
  18372. 2022-02-04 16:38:36,172:INFO:pd==1.3.5
  18373. 2022-02-04 16:38:36,172:INFO:numpy==1.21.5
  18374. 2022-02-04 16:38:36,173:INFO:sklearn==0.23.2
  18375. 2022-02-04 16:38:36,173:INFO:lightgbm==3.3.2
  18376. 2022-02-04 16:38:36,184:INFO:catboost==1.0.4
  18377. 2022-02-04 16:38:36,277:INFO:xgboost==1.5.2
  18378. 2022-02-04 16:38:36,602:INFO:mlflow==1.23.1
  18379. 2022-02-04 16:38:36,603:INFO:Checking Exceptions
  18380. 2022-02-04 16:38:36,603:INFO:Declaring global variables
  18381. 2022-02-04 16:38:36,603:INFO:USI: 926f
  18382. 2022-02-04 16:38:36,603:INFO:pycaret_globals: {'create_model_container', 'X_train', 'data_before_preprocess', 'X_test', 'iterative_imputation_iters_param', 'transform_target_param', 'exp_name_log', 'fold_groups_param', '_all_models_internal', 'display_container', 'imputation_regressor', 'fold_param', 'seed', 'fix_imbalance_param', 'log_plots_param', 'prep_pipe', 'y_test', 'USI', 'fold_groups_param_full', 'target_param', 'logging_param', 'y_train', 'imputation_classifier', 'fold_generator', 'fix_imbalance_method_param', '_internal_pipeline', 'html_param', 'master_model_container', '_ml_usecase', 'transform_target_method_param', '_available_plots', 'pycaret_globals', 'y', 'X', '_all_models', 'gpu_param', 'experiment__', '_gpu_n_jobs_param', 'stratify_param', '_all_metrics', 'fold_shuffle_param', 'n_jobs_param'}
  18383. 2022-02-04 16:38:36,603:INFO:Preparing display monitor
  18384. 2022-02-04 16:38:36,603:INFO:Preparing display monitor
  18385. 2022-02-04 16:38:36,612:INFO:Importing libraries
  18386. 2022-02-04 16:38:36,612:INFO:Copying data for preprocessing
  18387. 2022-02-04 16:38:36,618:INFO:Declaring preprocessing parameters
  18388. 2022-02-04 16:38:36,619:WARNING:cuML not found
  18389. 2022-02-04 16:38:36,619:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  18390. 2022-02-04 16:38:36,622:INFO:Creating preprocessing pipeline
  18391. 2022-02-04 16:38:36,675:INFO:Preprocessing pipeline created successfully
  18392. 2022-02-04 16:38:36,675:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  18393. 2022-02-04 16:38:36,675:INFO:Creating global containers
  18394. 2022-02-04 16:38:36,677:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  18395. 2022-02-04 16:38:38,189:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18396. 2022-02-04 16:38:38,224:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18397. 2022-02-04 16:38:38,226:WARNING:Couldn't import cuml.MBSGDClassifier
  18398. 2022-02-04 16:38:38,227:WARNING:Couldn't import cuml.svm.SVC
  18399. 2022-02-04 16:38:38,247:WARNING:Couldn't import cuml.linear_model
  18400. 2022-02-04 16:38:38,251:WARNING:Couldn't import cuml.ensemble
  18401. 2022-02-04 16:38:38,476:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18402. 2022-02-04 16:38:38,536:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18403. 2022-02-04 16:38:38,537:WARNING:Couldn't import cuml.MBSGDClassifier
  18404. 2022-02-04 16:38:38,538:WARNING:Couldn't import cuml.svm.SVC
  18405. 2022-02-04 16:38:38,569:WARNING:Couldn't import cuml.linear_model
  18406. 2022-02-04 16:38:38,575:WARNING:Couldn't import cuml.ensemble
  18407. 2022-02-04 16:38:38,695:INFO:Creating grid variables
  18408. 2022-02-04 16:38:38,708:INFO:create_model_container: 0
  18409. 2022-02-04 16:38:38,708:INFO:master_model_container: 0
  18410. 2022-02-04 16:38:38,709:INFO:display_container: 1
  18411. 2022-02-04 16:38:38,715:INFO:Pipeline(memory=None,
  18412. steps=[('dtypes',
  18413. DataTypes_Auto_infer(categorical_features=[],
  18414. display_types=True, features_todrop=[],
  18415. id_columns=[],
  18416. ml_usecase='classification',
  18417. numerical_features=[], target='label',
  18418. time_features=[])),
  18419. ('imputer',
  18420. Simple_Imputer(categorical_strategy='not_available',
  18421. fill_value_categorical=None,
  18422. fill_value_numerical=None,
  18423. numeric_strate...
  18424. target='label')),
  18425. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  18426. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  18427. ('dummy', Dummify(target='label')),
  18428. ('fix_perfect', Remove_100(target='label')),
  18429. ('clean_names', Clean_Colum_Names()),
  18430. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  18431. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  18432. verbose=False)
  18433. 2022-02-04 16:38:38,715:INFO:setup() succesfully completed......................................
  18434. 2022-02-04 16:38:55,897:INFO:Initializing create_model()
  18435. 2022-02-04 16:38:55,897:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 2048})
  18436. 2022-02-04 16:38:55,897:INFO:Checking exceptions
  18437. 2022-02-04 16:38:55,897:INFO:Preparing display monitor
  18438. 2022-02-04 16:38:55,910:INFO:Importing libraries
  18439. 2022-02-04 16:38:55,910:INFO:Copying training dataset
  18440. 2022-02-04 16:38:55,911:INFO:Defining folds
  18441. 2022-02-04 16:38:55,911:INFO:Declaring metric variables
  18442. 2022-02-04 16:38:55,916:INFO:Importing untrained model
  18443. 2022-02-04 16:38:55,922:INFO:Extreme Gradient Boosting Imported succesfully
  18444. 2022-02-04 16:38:55,933:INFO:Starting cross validation
  18445. 2022-02-04 16:38:55,934:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18446. 2022-02-04 16:39:31,668:INFO:Calculating mean and std
  18447. 2022-02-04 16:39:31,669:INFO:Creating metrics dataframe
  18448. 2022-02-04 16:39:31,679:INFO:Finalizing model
  18449. 2022-02-04 16:39:35,427:INFO:Uploading results into container
  18450. 2022-02-04 16:39:35,427:INFO:Uploading model into container now
  18451. 2022-02-04 16:39:35,434:INFO:create_model_container: 1
  18452. 2022-02-04 16:39:35,435:INFO:master_model_container: 1
  18453. 2022-02-04 16:39:35,435:INFO:display_container: 2
  18454. 2022-02-04 16:39:35,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18455. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18456. gamma=0, gpu_id=0, importance_type=None,
  18457. interaction_constraints='', learning_rate=0.300000012,
  18458. max_delta_step=0, max_depth=16, max_leaves=2048,
  18459. min_child_weight=1, missing=nan, monotone_constraints='()',
  18460. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18461. objective='binary:logistic', predictor='auto', random_state=524,
  18462. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18463. tree_method='gpu_hist', use_label_encoder=True,
  18464. validate_parameters=1, ...)
  18465. 2022-02-04 16:39:35,436:INFO:create_model() succesfully completed......................................
  18466. 2022-02-04 16:42:06,253:INFO:Initializing tune_model()
  18467. 2022-02-04 16:42:06,253:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18468. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18469. gamma=0, gpu_id=0, importance_type=None,
  18470. interaction_constraints='', learning_rate=0.300000012,
  18471. max_delta_step=0, max_depth=16, max_leaves=2048,
  18472. min_child_weight=1, missing=nan, monotone_constraints='()',
  18473. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18474. objective='binary:logistic', predictor='auto', random_state=524,
  18475. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18476. tree_method='gpu_hist', use_label_encoder=True,
  18477. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14, 13, 12], 'max_leaves': [4096, 2048], 'learning_rate': [0.1, 0.05]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={})
  18478. 2022-02-04 16:42:06,253:INFO:Checking exceptions
  18479. 2022-02-04 16:42:06,254:INFO:Preparing display monitor
  18480. 2022-02-04 16:42:06,264:INFO:Copying training dataset
  18481. 2022-02-04 16:42:06,265:INFO:Checking base model
  18482. 2022-02-04 16:42:06,266:INFO:Base model : Extreme Gradient Boosting
  18483. 2022-02-04 16:42:06,271:INFO:Declaring metric variables
  18484. 2022-02-04 16:42:06,276:INFO:Defining Hyperparameters
  18485. 2022-02-04 16:42:06,378:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12], 'actual_estimator__max_leaves': [4096, 2048], 'actual_estimator__learning_rate': [0.1, 0.05]}
  18486. 2022-02-04 16:42:06,378:INFO:Tuning with n_jobs=1
  18487. 2022-02-04 16:42:06,378:INFO:Initializing RandomizedSearchCV
  18488. 2022-02-04 16:49:56,501:INFO:best_params: {'actual_estimator__max_leaves': 2048, 'actual_estimator__max_depth': 16, 'actual_estimator__learning_rate': 0.1}
  18489. 2022-02-04 16:49:56,502:INFO:Hyperparameter search completed
  18490. 2022-02-04 16:49:56,502:INFO:SubProcess create_model() called ==================================
  18491. 2022-02-04 16:49:56,503:INFO:Initializing create_model()
  18492. 2022-02-04 16:49:56,503:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18493. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18494. gamma=0, gpu_id=0, importance_type=None,
  18495. interaction_constraints='', learning_rate=0.300000012,
  18496. max_delta_step=0, max_depth=16, max_leaves=2048,
  18497. min_child_weight=1, missing=nan, monotone_constraints='()',
  18498. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18499. objective='binary:logistic', predictor='auto', random_state=524,
  18500. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18501. tree_method='gpu_hist', use_label_encoder=True,
  18502. validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000027B25238160>, kwargs={'max_leaves': 2048, 'max_depth': 16, 'learning_rate': 0.1})
  18503. 2022-02-04 16:49:56,503:INFO:Checking exceptions
  18504. 2022-02-04 16:49:56,503:INFO:Importing libraries
  18505. 2022-02-04 16:49:56,503:INFO:Copying training dataset
  18506. 2022-02-04 16:49:56,504:INFO:Defining folds
  18507. 2022-02-04 16:49:56,504:INFO:Declaring metric variables
  18508. 2022-02-04 16:49:56,512:INFO:Importing untrained model
  18509. 2022-02-04 16:49:56,512:INFO:Declaring custom model
  18510. 2022-02-04 16:49:56,519:INFO:Extreme Gradient Boosting Imported succesfully
  18511. 2022-02-04 16:49:56,532:INFO:Starting cross validation
  18512. 2022-02-04 16:49:56,534:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18513. 2022-02-04 16:50:50,765:INFO:Calculating mean and std
  18514. 2022-02-04 16:50:50,766:INFO:Creating metrics dataframe
  18515. 2022-02-04 16:50:50,775:INFO:Finalizing model
  18516. 2022-02-04 16:50:56,474:INFO:Uploading results into container
  18517. 2022-02-04 16:50:56,474:INFO:Uploading model into container now
  18518. 2022-02-04 16:50:56,474:INFO:create_model_container: 2
  18519. 2022-02-04 16:50:56,474:INFO:master_model_container: 2
  18520. 2022-02-04 16:50:56,474:INFO:display_container: 3
  18521. 2022-02-04 16:50:56,475:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18522. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18523. gamma=0, gpu_id=0, importance_type=None,
  18524. interaction_constraints='', learning_rate=0.1, max_delta_step=0,
  18525. max_depth=16, max_leaves=2048, min_child_weight=1, missing=nan,
  18526. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18527. num_parallel_tree=1, objective='binary:logistic',
  18528. predictor='auto', random_state=524, reg_alpha=0, reg_lambda=1,
  18529. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18530. use_label_encoder=True, validate_parameters=1, ...)
  18531. 2022-02-04 16:50:56,475:INFO:create_model() succesfully completed......................................
  18532. 2022-02-04 16:50:56,569:INFO:SubProcess create_model() end ==================================
  18533. 2022-02-04 16:50:56,577:INFO:create_model_container: 2
  18534. 2022-02-04 16:50:56,577:INFO:master_model_container: 2
  18535. 2022-02-04 16:50:56,577:INFO:display_container: 3
  18536. 2022-02-04 16:50:56,578:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18537. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18538. gamma=0, gpu_id=0, importance_type=None,
  18539. interaction_constraints='', learning_rate=0.1, max_delta_step=0,
  18540. max_depth=16, max_leaves=2048, min_child_weight=1, missing=nan,
  18541. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18542. num_parallel_tree=1, objective='binary:logistic',
  18543. predictor='auto', random_state=524, reg_alpha=0, reg_lambda=1,
  18544. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18545. use_label_encoder=True, validate_parameters=1, ...)
  18546. 2022-02-04 16:50:56,579:INFO:tune_model() succesfully completed......................................
  18547. 2022-02-04 16:55:20,965:INFO:Initializing tune_model()
  18548. 2022-02-04 16:55:20,965:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18549. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18550. gamma=0, gpu_id=0, importance_type=None,
  18551. interaction_constraints='', learning_rate=0.300000012,
  18552. max_delta_step=0, max_depth=16, max_leaves=2048,
  18553. min_child_weight=1, missing=nan, monotone_constraints='()',
  18554. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18555. objective='binary:logistic', predictor='auto', random_state=524,
  18556. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18557. tree_method='gpu_hist', use_label_encoder=True,
  18558. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14], 'colsample_bytree': [0.6, 0.8, 1.0]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=True, display=None, kwargs={'learning_rate': 0.1})
  18559. 2022-02-04 16:55:20,965:INFO:Checking exceptions
  18560. 2022-02-04 16:55:20,966:INFO:Preparing display monitor
  18561. 2022-02-04 16:55:20,977:INFO:Copying training dataset
  18562. 2022-02-04 16:55:20,978:INFO:Checking base model
  18563. 2022-02-04 16:55:20,978:INFO:Base model : Extreme Gradient Boosting
  18564. 2022-02-04 16:55:20,985:INFO:Declaring metric variables
  18565. 2022-02-04 16:55:20,989:INFO:Defining Hyperparameters
  18566. 2022-02-04 16:55:21,093:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14], 'actual_estimator__colsample_bytree': [0.6, 0.8, 1.0]}
  18567. 2022-02-04 16:55:21,093:INFO:Tuning with n_jobs=1
  18568. 2022-02-04 16:55:21,093:INFO:Initializing RandomizedSearchCV
  18569. 2022-02-04 16:56:20,429:INFO:Initializing tune_model()
  18570. 2022-02-04 16:56:20,429:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18571. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18572. gamma=0, gpu_id=0, importance_type=None,
  18573. interaction_constraints='', learning_rate=0.300000012,
  18574. max_delta_step=0, max_depth=16, max_leaves=2048,
  18575. min_child_weight=1, missing=nan, monotone_constraints='()',
  18576. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  18577. objective='binary:logistic', predictor='auto', random_state=524,
  18578. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  18579. tree_method='gpu_hist', use_label_encoder=True,
  18580. validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [16, 15, 14], 'colsample_bytree': [0.6, 0.8, 1.0], 'eta': [0.1, 0.5]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  18581. 2022-02-04 16:56:20,429:INFO:Checking exceptions
  18582. 2022-02-04 16:56:20,430:INFO:Preparing display monitor
  18583. 2022-02-04 16:56:20,440:INFO:Copying training dataset
  18584. 2022-02-04 16:56:20,442:INFO:Checking base model
  18585. 2022-02-04 16:56:20,442:INFO:Base model : Extreme Gradient Boosting
  18586. 2022-02-04 16:56:20,448:INFO:Declaring metric variables
  18587. 2022-02-04 16:56:20,453:INFO:Defining Hyperparameters
  18588. 2022-02-04 16:56:20,586:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14], 'actual_estimator__colsample_bytree': [0.6, 0.8, 1.0], 'actual_estimator__eta': [0.1, 0.5]}
  18589. 2022-02-04 16:56:20,586:INFO:Tuning with n_jobs=1
  18590. 2022-02-04 16:56:20,586:INFO:Initializing RandomizedSearchCV
  18591. 2022-02-04 17:00:31,953:INFO:PyCaret Supervised Module
  18592. 2022-02-04 17:00:31,954:INFO:ML Usecase: classification
  18593. 2022-02-04 17:00:31,954:INFO:version 2.3.6
  18594. 2022-02-04 17:00:31,954:INFO:Initializing setup()
  18595. 2022-02-04 17:00:31,954:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  18596. 2022-02-04 17:00:31,954:INFO:Checking environment
  18597. 2022-02-04 17:00:31,954:INFO:python_version: 3.8.12
  18598. 2022-02-04 17:00:31,954:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  18599. 2022-02-04 17:00:31,954:INFO:machine: AMD64
  18600. 2022-02-04 17:00:31,954:INFO:platform: Windows-10-10.0.22000-SP0
  18601. 2022-02-04 17:00:31,954:INFO:Memory: svmem(total=68629372928, available=42844643328, percent=37.6, used=25784729600, free=42844643328)
  18602. 2022-02-04 17:00:31,954:INFO:Physical Core: 16
  18603. 2022-02-04 17:00:31,954:INFO:Logical Core: 32
  18604. 2022-02-04 17:00:31,954:INFO:Checking libraries
  18605. 2022-02-04 17:00:31,954:INFO:pd==1.3.5
  18606. 2022-02-04 17:00:31,954:INFO:numpy==1.21.5
  18607. 2022-02-04 17:00:31,954:INFO:sklearn==0.23.2
  18608. 2022-02-04 17:00:31,954:INFO:lightgbm==3.3.2
  18609. 2022-02-04 17:00:31,966:INFO:catboost==1.0.4
  18610. 2022-02-04 17:00:32,058:INFO:xgboost==1.5.2
  18611. 2022-02-04 17:00:32,334:INFO:mlflow==1.23.1
  18612. 2022-02-04 17:00:32,334:INFO:Checking Exceptions
  18613. 2022-02-04 17:00:32,334:INFO:Declaring global variables
  18614. 2022-02-04 17:00:32,334:INFO:USI: ec72
  18615. 2022-02-04 17:00:32,334:INFO:pycaret_globals: {'n_jobs_param', 'data_before_preprocess', 'master_model_container', 'X_train', 'X', 'fold_param', 'fix_imbalance_param', 'X_test', '_all_metrics', 'log_plots_param', 'logging_param', 'imputation_regressor', 'imputation_classifier', 'prep_pipe', 'USI', 'transform_target_param', '_ml_usecase', 'y', 'pycaret_globals', 'html_param', 'fold_shuffle_param', 'create_model_container', '_all_models', 'exp_name_log', 'target_param', 'fold_generator', '_gpu_n_jobs_param', 'experiment__', 'iterative_imputation_iters_param', 'fix_imbalance_method_param', 'stratify_param', 'display_container', 'seed', 'fold_groups_param_full', 'transform_target_method_param', 'y_test', '_internal_pipeline', '_available_plots', 'gpu_param', 'y_train', 'fold_groups_param', '_all_models_internal'}
  18616. 2022-02-04 17:00:32,334:INFO:Preparing display monitor
  18617. 2022-02-04 17:00:32,334:INFO:Preparing display monitor
  18618. 2022-02-04 17:00:32,343:INFO:Importing libraries
  18619. 2022-02-04 17:00:32,344:INFO:Copying data for preprocessing
  18620. 2022-02-04 17:00:32,349:INFO:Declaring preprocessing parameters
  18621. 2022-02-04 17:00:32,350:WARNING:cuML not found
  18622. 2022-02-04 17:00:32,350:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  18623. 2022-02-04 17:00:32,353:INFO:Creating preprocessing pipeline
  18624. 2022-02-04 17:00:32,407:INFO:Preprocessing pipeline created successfully
  18625. 2022-02-04 17:00:32,407:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  18626. 2022-02-04 17:00:32,408:INFO:Creating global containers
  18627. 2022-02-04 17:00:32,409:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  18628. 2022-02-04 17:00:34,319:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18629. 2022-02-04 17:00:34,354:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18630. 2022-02-04 17:00:34,356:WARNING:Couldn't import cuml.MBSGDClassifier
  18631. 2022-02-04 17:00:34,357:WARNING:Couldn't import cuml.svm.SVC
  18632. 2022-02-04 17:00:34,377:WARNING:Couldn't import cuml.linear_model
  18633. 2022-02-04 17:00:34,381:WARNING:Couldn't import cuml.ensemble
  18634. 2022-02-04 17:00:34,606:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18635. 2022-02-04 17:00:34,668:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18636. 2022-02-04 17:00:34,669:WARNING:Couldn't import cuml.MBSGDClassifier
  18637. 2022-02-04 17:00:34,671:WARNING:Couldn't import cuml.svm.SVC
  18638. 2022-02-04 17:00:34,701:WARNING:Couldn't import cuml.linear_model
  18639. 2022-02-04 17:00:34,707:WARNING:Couldn't import cuml.ensemble
  18640. 2022-02-04 17:00:34,825:INFO:Creating grid variables
  18641. 2022-02-04 17:00:34,838:INFO:create_model_container: 0
  18642. 2022-02-04 17:00:34,838:INFO:master_model_container: 0
  18643. 2022-02-04 17:00:34,839:INFO:display_container: 1
  18644. 2022-02-04 17:00:34,845:INFO:Pipeline(memory=None,
  18645. steps=[('dtypes',
  18646. DataTypes_Auto_infer(categorical_features=[],
  18647. display_types=True, features_todrop=[],
  18648. id_columns=[],
  18649. ml_usecase='classification',
  18650. numerical_features=[], target='label',
  18651. time_features=[])),
  18652. ('imputer',
  18653. Simple_Imputer(categorical_strategy='not_available',
  18654. fill_value_categorical=None,
  18655. fill_value_numerical=None,
  18656. numeric_strate...
  18657. target='label')),
  18658. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  18659. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  18660. ('dummy', Dummify(target='label')),
  18661. ('fix_perfect', Remove_100(target='label')),
  18662. ('clean_names', Clean_Colum_Names()),
  18663. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  18664. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  18665. verbose=False)
  18666. 2022-02-04 17:00:34,845:INFO:setup() succesfully completed......................................
  18667. 2022-02-04 17:00:47,482:INFO:Initializing create_model()
  18668. 2022-02-04 17:00:47,482:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 4, 'max_leaves': 255})
  18669. 2022-02-04 17:00:47,482:INFO:Checking exceptions
  18670. 2022-02-04 17:00:47,482:INFO:Preparing display monitor
  18671. 2022-02-04 17:00:47,495:INFO:Importing libraries
  18672. 2022-02-04 17:00:47,495:INFO:Copying training dataset
  18673. 2022-02-04 17:00:47,496:INFO:Defining folds
  18674. 2022-02-04 17:00:47,496:INFO:Declaring metric variables
  18675. 2022-02-04 17:00:47,501:INFO:Importing untrained model
  18676. 2022-02-04 17:00:47,506:INFO:Extreme Gradient Boosting Imported succesfully
  18677. 2022-02-04 17:00:47,515:INFO:Starting cross validation
  18678. 2022-02-04 17:00:47,517:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18679. 2022-02-04 17:00:50,378:INFO:Calculating mean and std
  18680. 2022-02-04 17:00:50,379:INFO:Creating metrics dataframe
  18681. 2022-02-04 17:00:50,389:INFO:Finalizing model
  18682. 2022-02-04 17:00:50,703:INFO:Uploading results into container
  18683. 2022-02-04 17:00:50,703:INFO:Uploading model into container now
  18684. 2022-02-04 17:00:50,712:INFO:create_model_container: 1
  18685. 2022-02-04 17:00:50,712:INFO:master_model_container: 1
  18686. 2022-02-04 17:00:50,712:INFO:display_container: 2
  18687. 2022-02-04 17:00:50,713:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18688. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18689. gamma=0, gpu_id=0, importance_type=None,
  18690. interaction_constraints='', learning_rate=0.300000012,
  18691. max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
  18692. missing=nan, monotone_constraints='()', n_estimators=100,
  18693. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18694. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18695. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18696. use_label_encoder=True, validate_parameters=1, ...)
  18697. 2022-02-04 17:00:50,713:INFO:create_model() succesfully completed......................................
  18698. 2022-02-04 17:01:13,080:INFO:Initializing tune_model()
  18699. 2022-02-04 17:01:13,081:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18700. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18701. gamma=0, gpu_id=0, importance_type=None,
  18702. interaction_constraints='', learning_rate=0.300000012,
  18703. max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
  18704. missing=nan, monotone_constraints='()', n_estimators=100,
  18705. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18706. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18707. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18708. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [32, 16, 8], 'colsample_bytree': [0.6, 0.8, 1.0], 'eta': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  18709. 2022-02-04 17:01:13,081:INFO:Checking exceptions
  18710. 2022-02-04 17:01:13,081:INFO:Preparing display monitor
  18711. 2022-02-04 17:01:13,092:INFO:Copying training dataset
  18712. 2022-02-04 17:01:13,093:INFO:Checking base model
  18713. 2022-02-04 17:01:13,093:INFO:Base model : Extreme Gradient Boosting
  18714. 2022-02-04 17:01:13,098:INFO:Declaring metric variables
  18715. 2022-02-04 17:01:13,104:INFO:Defining Hyperparameters
  18716. 2022-02-04 17:01:13,208:INFO:custom_grid: {'actual_estimator__max_depth': [32, 16, 8], 'actual_estimator__colsample_bytree': [0.6, 0.8, 1.0], 'actual_estimator__eta': [0.05, 0.005]}
  18717. 2022-02-04 17:01:13,208:INFO:Tuning with n_jobs=1
  18718. 2022-02-04 17:01:13,208:INFO:Initializing RandomizedSearchCV
  18719. 2022-02-04 17:06:14,580:INFO:best_params: {'actual_estimator__max_depth': 32, 'actual_estimator__eta': 0.05, 'actual_estimator__colsample_bytree': 0.6}
  18720. 2022-02-04 17:06:14,581:INFO:Hyperparameter search completed
  18721. 2022-02-04 17:06:14,581:INFO:SubProcess create_model() called ==================================
  18722. 2022-02-04 17:06:14,582:INFO:Initializing create_model()
  18723. 2022-02-04 17:06:14,582:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18724. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18725. gamma=0, gpu_id=0, importance_type=None,
  18726. interaction_constraints='', learning_rate=0.300000012,
  18727. max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
  18728. missing=nan, monotone_constraints='()', n_estimators=100,
  18729. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18730. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18731. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18732. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x00000265C7F9CBB0>, kwargs={'max_depth': 32, 'eta': 0.05, 'colsample_bytree': 0.6})
  18733. 2022-02-04 17:06:14,582:INFO:Checking exceptions
  18734. 2022-02-04 17:06:14,582:INFO:Importing libraries
  18735. 2022-02-04 17:06:14,582:INFO:Copying training dataset
  18736. 2022-02-04 17:06:14,583:INFO:Defining folds
  18737. 2022-02-04 17:06:14,584:INFO:Declaring metric variables
  18738. 2022-02-04 17:06:14,590:INFO:Importing untrained model
  18739. 2022-02-04 17:06:14,591:INFO:Declaring custom model
  18740. 2022-02-04 17:06:14,599:INFO:Extreme Gradient Boosting Imported succesfully
  18741. 2022-02-04 17:06:14,611:INFO:Starting cross validation
  18742. 2022-02-04 17:06:14,613:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18743. 2022-02-04 17:06:55,887:INFO:Calculating mean and std
  18744. 2022-02-04 17:06:55,888:INFO:Creating metrics dataframe
  18745. 2022-02-04 17:06:55,898:INFO:Finalizing model
  18746. 2022-02-04 17:06:59,997:INFO:Uploading results into container
  18747. 2022-02-04 17:06:59,998:INFO:Uploading model into container now
  18748. 2022-02-04 17:06:59,998:INFO:create_model_container: 2
  18749. 2022-02-04 17:06:59,998:INFO:master_model_container: 2
  18750. 2022-02-04 17:06:59,998:INFO:display_container: 3
  18751. 2022-02-04 17:06:59,999:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18752. colsample_bynode=1, colsample_bytree=0.6,
  18753. enable_categorical=False, eta=0.05, gamma=0, gpu_id=0,
  18754. importance_type=None, interaction_constraints='',
  18755. learning_rate=0.300000012, max_delta_step=0, max_depth=32,
  18756. max_leaves=255, min_child_weight=1, missing=nan,
  18757. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18758. num_parallel_tree=1, objective='binary:logistic',
  18759. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18760. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18761. use_label_encoder=True, ...)
  18762. 2022-02-04 17:06:59,999:INFO:create_model() succesfully completed......................................
  18763. 2022-02-04 17:07:00,097:INFO:SubProcess create_model() end ==================================
  18764. 2022-02-04 17:07:00,105:INFO:create_model_container: 2
  18765. 2022-02-04 17:07:00,105:INFO:master_model_container: 2
  18766. 2022-02-04 17:07:00,105:INFO:display_container: 3
  18767. 2022-02-04 17:07:00,106:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18768. colsample_bynode=1, colsample_bytree=0.6,
  18769. enable_categorical=False, eta=0.05, gamma=0, gpu_id=0,
  18770. importance_type=None, interaction_constraints='',
  18771. learning_rate=0.300000012, max_delta_step=0, max_depth=32,
  18772. max_leaves=255, min_child_weight=1, missing=nan,
  18773. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18774. num_parallel_tree=1, objective='binary:logistic',
  18775. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18776. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18777. use_label_encoder=True, ...)
  18778. 2022-02-04 17:07:00,106:INFO:tune_model() succesfully completed......................................
  18779. 2022-02-04 17:10:08,398:INFO:Initializing tune_model()
  18780. 2022-02-04 17:10:08,398:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18781. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18782. gamma=0, gpu_id=0, importance_type=None,
  18783. interaction_constraints='', learning_rate=0.300000012,
  18784. max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
  18785. missing=nan, monotone_constraints='()', n_estimators=100,
  18786. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18787. predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
  18788. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18789. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'eta': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  18790. 2022-02-04 17:10:08,398:INFO:Checking exceptions
  18791. 2022-02-04 17:10:08,399:INFO:Preparing display monitor
  18792. 2022-02-04 17:10:08,409:INFO:Copying training dataset
  18793. 2022-02-04 17:10:08,410:INFO:Checking base model
  18794. 2022-02-04 17:10:08,411:INFO:Base model : Extreme Gradient Boosting
  18795. 2022-02-04 17:10:08,417:INFO:Declaring metric variables
  18796. 2022-02-04 17:10:08,421:INFO:Defining Hyperparameters
  18797. 2022-02-04 17:10:08,520:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__eta': [0.05, 0.005]}
  18798. 2022-02-04 17:10:08,520:INFO:Tuning with n_jobs=1
  18799. 2022-02-04 17:10:08,520:INFO:Initializing RandomizedSearchCV
  18800. 2022-02-04 17:11:10,654:INFO:PyCaret Supervised Module
  18801. 2022-02-04 17:11:10,654:INFO:ML Usecase: classification
  18802. 2022-02-04 17:11:10,655:INFO:version 2.3.6
  18803. 2022-02-04 17:11:10,655:INFO:Initializing setup()
  18804. 2022-02-04 17:11:10,655:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=True, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  18805. 2022-02-04 17:11:10,655:INFO:Checking environment
  18806. 2022-02-04 17:11:10,655:INFO:python_version: 3.8.12
  18807. 2022-02-04 17:11:10,655:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  18808. 2022-02-04 17:11:10,655:INFO:machine: AMD64
  18809. 2022-02-04 17:11:10,655:INFO:platform: Windows-10-10.0.22000-SP0
  18810. 2022-02-04 17:11:10,655:INFO:Memory: svmem(total=68629372928, available=42797850624, percent=37.6, used=25831522304, free=42797850624)
  18811. 2022-02-04 17:11:10,655:INFO:Physical Core: 16
  18812. 2022-02-04 17:11:10,655:INFO:Logical Core: 32
  18813. 2022-02-04 17:11:10,655:INFO:Checking libraries
  18814. 2022-02-04 17:11:10,655:INFO:pd==1.3.5
  18815. 2022-02-04 17:11:10,655:INFO:numpy==1.21.5
  18816. 2022-02-04 17:11:10,655:INFO:sklearn==0.23.2
  18817. 2022-02-04 17:11:10,655:INFO:lightgbm==3.3.2
  18818. 2022-02-04 17:11:10,666:INFO:catboost==1.0.4
  18819. 2022-02-04 17:11:10,761:INFO:xgboost==1.5.2
  18820. 2022-02-04 17:11:11,035:INFO:mlflow==1.23.1
  18821. 2022-02-04 17:11:11,035:INFO:Checking Exceptions
  18822. 2022-02-04 17:11:11,035:INFO:Declaring global variables
  18823. 2022-02-04 17:11:11,035:INFO:USI: 79bd
  18824. 2022-02-04 17:11:11,035:INFO:pycaret_globals: {'experiment__', 'logging_param', 'imputation_regressor', 'html_param', 'prep_pipe', 'log_plots_param', '_all_metrics', 'iterative_imputation_iters_param', 'data_before_preprocess', 'fix_imbalance_method_param', 'fold_shuffle_param', 'seed', 'X', 'imputation_classifier', 'USI', 'y_train', 'n_jobs_param', '_gpu_n_jobs_param', '_internal_pipeline', '_available_plots', 'y_test', 'stratify_param', 'fold_generator', 'gpu_param', 'transform_target_param', 'fold_groups_param', 'y', 'master_model_container', 'X_train', 'pycaret_globals', 'fold_groups_param_full', 'create_model_container', 'exp_name_log', '_ml_usecase', 'target_param', 'X_test', 'fix_imbalance_param', 'transform_target_method_param', '_all_models', 'fold_param', '_all_models_internal', 'display_container'}
  18825. 2022-02-04 17:11:11,035:INFO:Preparing display monitor
  18826. 2022-02-04 17:11:11,035:INFO:Preparing display monitor
  18827. 2022-02-04 17:11:11,045:INFO:Importing libraries
  18828. 2022-02-04 17:11:11,045:INFO:Copying data for preprocessing
  18829. 2022-02-04 17:11:11,050:INFO:Declaring preprocessing parameters
  18830. 2022-02-04 17:11:11,051:WARNING:cuML not found
  18831. 2022-02-04 17:11:11,051:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  18832. 2022-02-04 17:11:11,054:INFO:Creating preprocessing pipeline
  18833. 2022-02-04 17:11:11,106:INFO:Preprocessing pipeline created successfully
  18834. 2022-02-04 17:11:11,106:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  18835. 2022-02-04 17:11:11,106:INFO:Creating global containers
  18836. 2022-02-04 17:11:11,108:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  18837. 2022-02-04 17:11:12,168:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18838. 2022-02-04 17:11:12,202:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18839. 2022-02-04 17:11:12,204:WARNING:Couldn't import cuml.MBSGDClassifier
  18840. 2022-02-04 17:11:12,205:WARNING:Couldn't import cuml.svm.SVC
  18841. 2022-02-04 17:11:12,225:WARNING:Couldn't import cuml.linear_model
  18842. 2022-02-04 17:11:12,229:WARNING:Couldn't import cuml.ensemble
  18843. 2022-02-04 17:11:12,380:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  18844. 2022-02-04 17:11:12,443:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  18845. 2022-02-04 17:11:12,444:WARNING:Couldn't import cuml.MBSGDClassifier
  18846. 2022-02-04 17:11:12,445:WARNING:Couldn't import cuml.svm.SVC
  18847. 2022-02-04 17:11:12,478:WARNING:Couldn't import cuml.linear_model
  18848. 2022-02-04 17:11:12,486:WARNING:Couldn't import cuml.ensemble
  18849. 2022-02-04 17:11:12,606:INFO:Creating grid variables
  18850. 2022-02-04 17:11:12,620:INFO:create_model_container: 0
  18851. 2022-02-04 17:11:12,620:INFO:master_model_container: 0
  18852. 2022-02-04 17:11:12,621:INFO:display_container: 1
  18853. 2022-02-04 17:11:12,626:INFO:Pipeline(memory=None,
  18854. steps=[('dtypes',
  18855. DataTypes_Auto_infer(categorical_features=[],
  18856. display_types=True, features_todrop=[],
  18857. id_columns=[],
  18858. ml_usecase='classification',
  18859. numerical_features=[], target='label',
  18860. time_features=[])),
  18861. ('imputer',
  18862. Simple_Imputer(categorical_strategy='not_available',
  18863. fill_value_categorical=None,
  18864. fill_value_numerical=None,
  18865. numeric_strate...
  18866. target='label')),
  18867. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  18868. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  18869. ('dummy', Dummify(target='label')),
  18870. ('fix_perfect', Remove_100(target='label')),
  18871. ('clean_names', Clean_Colum_Names()),
  18872. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  18873. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  18874. verbose=False)
  18875. 2022-02-04 17:11:12,626:INFO:setup() succesfully completed......................................
  18876. 2022-02-04 17:11:24,301:INFO:Initializing create_model()
  18877. 2022-02-04 17:11:24,301:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 255})
  18878. 2022-02-04 17:11:24,301:INFO:Checking exceptions
  18879. 2022-02-04 17:11:24,301:INFO:Preparing display monitor
  18880. 2022-02-04 17:11:24,312:INFO:Importing libraries
  18881. 2022-02-04 17:11:24,312:INFO:Copying training dataset
  18882. 2022-02-04 17:11:24,313:INFO:Defining folds
  18883. 2022-02-04 17:11:24,313:INFO:Declaring metric variables
  18884. 2022-02-04 17:11:24,318:INFO:Importing untrained model
  18885. 2022-02-04 17:11:24,324:INFO:Extreme Gradient Boosting Imported succesfully
  18886. 2022-02-04 17:11:24,334:INFO:Starting cross validation
  18887. 2022-02-04 17:11:24,335:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18888. 2022-02-04 17:11:35,859:INFO:Calculating mean and std
  18889. 2022-02-04 17:11:35,860:INFO:Creating metrics dataframe
  18890. 2022-02-04 17:11:35,870:INFO:Finalizing model
  18891. 2022-02-04 17:11:37,147:INFO:Uploading results into container
  18892. 2022-02-04 17:11:37,147:INFO:Uploading model into container now
  18893. 2022-02-04 17:11:37,155:INFO:create_model_container: 1
  18894. 2022-02-04 17:11:37,155:INFO:master_model_container: 1
  18895. 2022-02-04 17:11:37,155:INFO:display_container: 2
  18896. 2022-02-04 17:11:37,157:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18897. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18898. gamma=0, gpu_id=0, importance_type=None,
  18899. interaction_constraints='', learning_rate=0.300000012,
  18900. max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
  18901. missing=nan, monotone_constraints='()', n_estimators=100,
  18902. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18903. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18904. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18905. use_label_encoder=True, validate_parameters=1, ...)
  18906. 2022-02-04 17:11:37,157:INFO:create_model() succesfully completed......................................
  18907. 2022-02-04 17:11:54,479:INFO:Initializing tune_model()
  18908. 2022-02-04 17:11:54,479:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18909. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18910. gamma=0, gpu_id=0, importance_type=None,
  18911. interaction_constraints='', learning_rate=0.300000012,
  18912. max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
  18913. missing=nan, monotone_constraints='()', n_estimators=100,
  18914. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18915. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18916. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18917. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'learning_rate': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  18918. 2022-02-04 17:11:54,479:INFO:Checking exceptions
  18919. 2022-02-04 17:11:54,480:INFO:Preparing display monitor
  18920. 2022-02-04 17:11:54,490:INFO:Copying training dataset
  18921. 2022-02-04 17:11:54,491:INFO:Checking base model
  18922. 2022-02-04 17:11:54,491:INFO:Base model : Extreme Gradient Boosting
  18923. 2022-02-04 17:11:54,496:INFO:Declaring metric variables
  18924. 2022-02-04 17:11:54,501:INFO:Defining Hyperparameters
  18925. 2022-02-04 17:11:54,595:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__learning_rate': [0.05, 0.005]}
  18926. 2022-02-04 17:11:54,595:INFO:Tuning with n_jobs=1
  18927. 2022-02-04 17:11:54,595:INFO:Initializing RandomizedSearchCV
  18928. 2022-02-04 17:29:01,657:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 32, 'actual_estimator__learning_rate': 0.05, 'actual_estimator__colsample_bytree': 0.8}
  18929. 2022-02-04 17:29:01,658:INFO:Hyperparameter search completed
  18930. 2022-02-04 17:29:01,658:INFO:SubProcess create_model() called ==================================
  18931. 2022-02-04 17:29:01,659:INFO:Initializing create_model()
  18932. 2022-02-04 17:29:01,659:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18933. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  18934. gamma=0, gpu_id=0, importance_type=None,
  18935. interaction_constraints='', learning_rate=0.300000012,
  18936. max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
  18937. missing=nan, monotone_constraints='()', n_estimators=100,
  18938. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  18939. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18940. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18941. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x000001C1FBCE0700>, kwargs={'max_leaves': 1024, 'max_depth': 32, 'learning_rate': 0.05, 'colsample_bytree': 0.8})
  18942. 2022-02-04 17:29:01,659:INFO:Checking exceptions
  18943. 2022-02-04 17:29:01,659:INFO:Importing libraries
  18944. 2022-02-04 17:29:01,659:INFO:Copying training dataset
  18945. 2022-02-04 17:29:01,661:INFO:Defining folds
  18946. 2022-02-04 17:29:01,661:INFO:Declaring metric variables
  18947. 2022-02-04 17:29:01,667:INFO:Importing untrained model
  18948. 2022-02-04 17:29:01,667:INFO:Declaring custom model
  18949. 2022-02-04 17:29:01,675:INFO:Extreme Gradient Boosting Imported succesfully
  18950. 2022-02-04 17:29:01,688:INFO:Starting cross validation
  18951. 2022-02-04 17:29:01,689:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  18952. 2022-02-04 17:31:23,895:INFO:Calculating mean and std
  18953. 2022-02-04 17:31:23,896:INFO:Creating metrics dataframe
  18954. 2022-02-04 17:31:23,905:INFO:Finalizing model
  18955. 2022-02-04 17:31:39,416:INFO:Uploading results into container
  18956. 2022-02-04 17:31:39,417:INFO:Uploading model into container now
  18957. 2022-02-04 17:31:39,417:INFO:create_model_container: 2
  18958. 2022-02-04 17:31:39,417:INFO:master_model_container: 2
  18959. 2022-02-04 17:31:39,417:INFO:display_container: 3
  18960. 2022-02-04 17:31:39,418:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18961. colsample_bynode=1, colsample_bytree=0.8,
  18962. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  18963. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  18964. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  18965. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18966. num_parallel_tree=1, objective='binary:logistic',
  18967. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18968. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18969. use_label_encoder=True, validate_parameters=1, ...)
  18970. 2022-02-04 17:31:39,418:INFO:create_model() succesfully completed......................................
  18971. 2022-02-04 17:31:39,495:INFO:SubProcess create_model() end ==================================
  18972. 2022-02-04 17:31:39,503:INFO:create_model_container: 2
  18973. 2022-02-04 17:31:39,503:INFO:master_model_container: 2
  18974. 2022-02-04 17:31:39,503:INFO:display_container: 3
  18975. 2022-02-04 17:31:39,504:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18976. colsample_bynode=1, colsample_bytree=0.8,
  18977. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  18978. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  18979. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  18980. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18981. num_parallel_tree=1, objective='binary:logistic',
  18982. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18983. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18984. use_label_encoder=True, validate_parameters=1, ...)
  18985. 2022-02-04 17:31:39,504:INFO:tune_model() succesfully completed......................................
  18986. 2022-02-07 08:13:52,179:INFO:Initializing evaluate_model()
  18987. 2022-02-07 08:13:52,179:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18988. colsample_bynode=1, colsample_bytree=0.8,
  18989. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  18990. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  18991. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  18992. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  18993. num_parallel_tree=1, objective='binary:logistic',
  18994. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  18995. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  18996. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  18997. 2022-02-07 08:13:52,192:INFO:Initializing plot_model()
  18998. 2022-02-07 08:13:52,192:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  18999. colsample_bynode=1, colsample_bytree=0.8,
  19000. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19001. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19002. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19003. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19004. num_parallel_tree=1, objective='binary:logistic',
  19005. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19006. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19007. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19008. 2022-02-07 08:13:52,192:INFO:Checking exceptions
  19009. 2022-02-07 08:13:52,196:INFO:Preparing display monitor
  19010. 2022-02-07 08:13:52,200:INFO:Preloading libraries
  19011. 2022-02-07 08:13:52,487:INFO:Copying training dataset
  19012. 2022-02-07 08:13:52,489:INFO:Copying test dataset
  19013. 2022-02-07 08:13:52,489:INFO:Plot type: parameter
  19014. 2022-02-07 08:13:52,499:INFO:Visual Rendered Successfully
  19015. 2022-02-07 08:13:52,587:INFO:plot_model() succesfully completed......................................
  19016. 2022-02-07 08:14:47,246:INFO:Initializing plot_model()
  19017. 2022-02-07 08:14:47,247:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19018. colsample_bynode=1, colsample_bytree=0.8,
  19019. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19020. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19021. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19022. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19023. num_parallel_tree=1, objective='binary:logistic',
  19024. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19025. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19026. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  19027. 2022-02-07 08:14:47,247:INFO:Checking exceptions
  19028. 2022-02-07 08:14:47,250:INFO:Preparing display monitor
  19029. 2022-02-07 08:14:47,254:INFO:Preloading libraries
  19030. 2022-02-07 08:14:47,533:INFO:Copying training dataset
  19031. 2022-02-07 08:14:47,535:INFO:Copying test dataset
  19032. 2022-02-07 08:14:47,535:INFO:Plot type: confusion_matrix
  19033. 2022-02-07 08:14:47,542:INFO:Initializing get_config()
  19034. 2022-02-07 08:14:47,542:INFO:get_config(variable=prep_pipe)
  19035. 2022-02-07 08:14:47,545:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19036. steps=[('dtypes',
  19037. DataTypes_Auto_infer(categorical_features=[],
  19038. display_types=True, features_todrop=[],
  19039. id_columns=[],
  19040. ml_usecase='classification',
  19041. numerical_features=[], target='label',
  19042. time_features=[])),
  19043. ('imputer',
  19044. Simple_Imputer(categorical_strategy='not_available',
  19045. fill_value_categorical=None,
  19046. fill_value_numerical=None,
  19047. numeric_strate...
  19048. target='label')),
  19049. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19050. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19051. ('dummy', Dummify(target='label')),
  19052. ('fix_perfect', Remove_100(target='label')),
  19053. ('clean_names', Clean_Colum_Names()),
  19054. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19055. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19056. verbose=False)
  19057. 2022-02-07 08:14:47,545:INFO:get_config() succesfully completed......................................
  19058. 2022-02-07 08:14:47,556:INFO:Fitting Model
  19059. 2022-02-07 08:14:47,558:INFO:Scoring test/hold-out set
  19060. 2022-02-07 08:14:47,710:INFO:Visual Rendered Successfully
  19061. 2022-02-07 08:14:47,799:INFO:plot_model() succesfully completed......................................
  19062. 2022-02-07 08:16:55,028:INFO:Initializing plot_model()
  19063. 2022-02-07 08:16:55,028:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19064. colsample_bynode=1, colsample_bytree=0.8,
  19065. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19066. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19067. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19068. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19069. num_parallel_tree=1, objective='binary:logistic',
  19070. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19071. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19072. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  19073. 2022-02-07 08:16:55,028:INFO:Checking exceptions
  19074. 2022-02-07 08:16:55,031:INFO:Preparing display monitor
  19075. 2022-02-07 08:16:55,035:INFO:Preloading libraries
  19076. 2022-02-07 08:16:55,319:INFO:Copying training dataset
  19077. 2022-02-07 08:16:55,320:INFO:Copying test dataset
  19078. 2022-02-07 08:16:55,320:INFO:Plot type: feature_all
  19079. 2022-02-07 08:16:55,327:WARNING:No coef_ found. Trying feature_importances_
  19080. 2022-02-07 08:16:55,440:INFO:Visual Rendered Successfully
  19081. 2022-02-07 08:16:55,522:INFO:plot_model() succesfully completed......................................
  19082. 2022-02-07 08:20:54,526:INFO:Initializing plot_model()
  19083. 2022-02-07 08:20:54,526:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19084. colsample_bynode=1, colsample_bytree=0.8,
  19085. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19086. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19087. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19088. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19089. num_parallel_tree=1, objective='binary:logistic',
  19090. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19091. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19092. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
  19093. 2022-02-07 08:20:54,526:INFO:Checking exceptions
  19094. 2022-02-07 08:20:54,530:INFO:Preparing display monitor
  19095. 2022-02-07 08:20:54,534:INFO:Preloading libraries
  19096. 2022-02-07 08:20:54,830:INFO:Copying training dataset
  19097. 2022-02-07 08:20:54,831:INFO:Copying test dataset
  19098. 2022-02-07 08:20:54,831:INFO:Plot type: pr
  19099. 2022-02-07 08:20:54,845:INFO:Fitting Model
  19100. 2022-02-07 08:20:54,847:INFO:Scoring test/hold-out set
  19101. 2022-02-07 08:20:54,982:INFO:Visual Rendered Successfully
  19102. 2022-02-07 08:20:55,062:INFO:plot_model() succesfully completed......................................
  19103. 2022-02-07 08:21:01,780:INFO:Initializing plot_model()
  19104. 2022-02-07 08:21:01,780:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19105. colsample_bynode=1, colsample_bytree=0.8,
  19106. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19107. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19108. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19109. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19110. num_parallel_tree=1, objective='binary:logistic',
  19111. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19112. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19113. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19114. 2022-02-07 08:21:01,780:INFO:Checking exceptions
  19115. 2022-02-07 08:21:01,783:INFO:Preparing display monitor
  19116. 2022-02-07 08:21:01,787:INFO:Preloading libraries
  19117. 2022-02-07 08:21:02,066:INFO:Copying training dataset
  19118. 2022-02-07 08:21:02,067:INFO:Copying test dataset
  19119. 2022-02-07 08:21:02,067:INFO:Plot type: parameter
  19120. 2022-02-07 08:21:02,078:INFO:Visual Rendered Successfully
  19121. 2022-02-07 08:21:02,168:INFO:plot_model() succesfully completed......................................
  19122. 2022-02-07 08:21:05,461:INFO:Initializing plot_model()
  19123. 2022-02-07 08:21:05,462:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19124. colsample_bynode=1, colsample_bytree=0.8,
  19125. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19126. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19127. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19128. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19129. num_parallel_tree=1, objective='binary:logistic',
  19130. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19131. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19132. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  19133. 2022-02-07 08:21:05,462:INFO:Checking exceptions
  19134. 2022-02-07 08:21:05,465:INFO:Preparing display monitor
  19135. 2022-02-07 08:21:05,469:INFO:Preloading libraries
  19136. 2022-02-07 08:21:05,753:INFO:Copying training dataset
  19137. 2022-02-07 08:21:05,754:INFO:Copying test dataset
  19138. 2022-02-07 08:21:05,754:INFO:Plot type: auc
  19139. 2022-02-07 08:21:05,760:INFO:Initializing get_config()
  19140. 2022-02-07 08:21:05,761:INFO:get_config(variable=prep_pipe)
  19141. 2022-02-07 08:21:05,764:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19142. steps=[('dtypes',
  19143. DataTypes_Auto_infer(categorical_features=[],
  19144. display_types=True, features_todrop=[],
  19145. id_columns=[],
  19146. ml_usecase='classification',
  19147. numerical_features=[], target='label',
  19148. time_features=[])),
  19149. ('imputer',
  19150. Simple_Imputer(categorical_strategy='not_available',
  19151. fill_value_categorical=None,
  19152. fill_value_numerical=None,
  19153. numeric_strate...
  19154. target='label')),
  19155. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19156. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19157. ('dummy', Dummify(target='label')),
  19158. ('fix_perfect', Remove_100(target='label')),
  19159. ('clean_names', Clean_Colum_Names()),
  19160. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19161. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19162. verbose=False)
  19163. 2022-02-07 08:21:05,764:INFO:get_config() succesfully completed......................................
  19164. 2022-02-07 08:21:05,771:INFO:Fitting Model
  19165. 2022-02-07 08:21:05,773:INFO:Scoring test/hold-out set
  19166. 2022-02-07 08:21:05,922:INFO:Visual Rendered Successfully
  19167. 2022-02-07 08:21:06,012:INFO:plot_model() succesfully completed......................................
  19168. 2022-02-07 08:21:12,582:INFO:Initializing plot_model()
  19169. 2022-02-07 08:21:12,582:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19170. colsample_bynode=1, colsample_bytree=0.8,
  19171. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19172. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19173. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19174. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19175. num_parallel_tree=1, objective='binary:logistic',
  19176. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19177. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19178. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  19179. 2022-02-07 08:21:12,582:INFO:Checking exceptions
  19180. 2022-02-07 08:21:12,585:INFO:Preparing display monitor
  19181. 2022-02-07 08:21:12,589:INFO:Preloading libraries
  19182. 2022-02-07 08:21:12,875:INFO:Copying training dataset
  19183. 2022-02-07 08:21:12,876:INFO:Copying test dataset
  19184. 2022-02-07 08:21:12,877:INFO:Plot type: confusion_matrix
  19185. 2022-02-07 08:21:12,883:INFO:Initializing get_config()
  19186. 2022-02-07 08:21:12,883:INFO:get_config(variable=prep_pipe)
  19187. 2022-02-07 08:21:12,886:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19188. steps=[('dtypes',
  19189. DataTypes_Auto_infer(categorical_features=[],
  19190. display_types=True, features_todrop=[],
  19191. id_columns=[],
  19192. ml_usecase='classification',
  19193. numerical_features=[], target='label',
  19194. time_features=[])),
  19195. ('imputer',
  19196. Simple_Imputer(categorical_strategy='not_available',
  19197. fill_value_categorical=None,
  19198. fill_value_numerical=None,
  19199. numeric_strate...
  19200. target='label')),
  19201. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19202. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19203. ('dummy', Dummify(target='label')),
  19204. ('fix_perfect', Remove_100(target='label')),
  19205. ('clean_names', Clean_Colum_Names()),
  19206. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19207. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19208. verbose=False)
  19209. 2022-02-07 08:21:12,886:INFO:get_config() succesfully completed......................................
  19210. 2022-02-07 08:21:12,894:INFO:Fitting Model
  19211. 2022-02-07 08:21:12,895:INFO:Scoring test/hold-out set
  19212. 2022-02-07 08:21:13,033:INFO:Visual Rendered Successfully
  19213. 2022-02-07 08:21:13,119:INFO:plot_model() succesfully completed......................................
  19214. 2022-02-07 08:21:24,379:INFO:Initializing plot_model()
  19215. 2022-02-07 08:21:24,379:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19216. colsample_bynode=1, colsample_bytree=0.8,
  19217. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19218. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19219. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19220. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19221. num_parallel_tree=1, objective='binary:logistic',
  19222. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19223. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19224. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
  19225. 2022-02-07 08:21:24,379:INFO:Checking exceptions
  19226. 2022-02-07 08:21:24,382:INFO:Preparing display monitor
  19227. 2022-02-07 08:21:24,386:INFO:Preloading libraries
  19228. 2022-02-07 08:21:24,667:INFO:Copying training dataset
  19229. 2022-02-07 08:21:24,668:INFO:Copying test dataset
  19230. 2022-02-07 08:21:24,669:INFO:Plot type: error
  19231. 2022-02-07 08:21:24,675:INFO:Initializing get_config()
  19232. 2022-02-07 08:21:24,675:INFO:get_config(variable=prep_pipe)
  19233. 2022-02-07 08:21:24,678:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19234. steps=[('dtypes',
  19235. DataTypes_Auto_infer(categorical_features=[],
  19236. display_types=True, features_todrop=[],
  19237. id_columns=[],
  19238. ml_usecase='classification',
  19239. numerical_features=[], target='label',
  19240. time_features=[])),
  19241. ('imputer',
  19242. Simple_Imputer(categorical_strategy='not_available',
  19243. fill_value_categorical=None,
  19244. fill_value_numerical=None,
  19245. numeric_strate...
  19246. target='label')),
  19247. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19248. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19249. ('dummy', Dummify(target='label')),
  19250. ('fix_perfect', Remove_100(target='label')),
  19251. ('clean_names', Clean_Colum_Names()),
  19252. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19253. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19254. verbose=False)
  19255. 2022-02-07 08:21:24,678:INFO:get_config() succesfully completed......................................
  19256. 2022-02-07 08:21:24,686:INFO:Fitting Model
  19257. 2022-02-07 08:21:24,687:INFO:Scoring test/hold-out set
  19258. 2022-02-07 08:21:24,817:INFO:Visual Rendered Successfully
  19259. 2022-02-07 08:21:24,903:INFO:plot_model() succesfully completed......................................
  19260. 2022-02-07 08:21:31,482:INFO:Initializing plot_model()
  19261. 2022-02-07 08:21:31,482:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19262. colsample_bynode=1, colsample_bytree=0.8,
  19263. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19264. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19265. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19266. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19267. num_parallel_tree=1, objective='binary:logistic',
  19268. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19269. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19270. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
  19271. 2022-02-07 08:21:31,482:INFO:Checking exceptions
  19272. 2022-02-07 08:21:31,485:INFO:Preparing display monitor
  19273. 2022-02-07 08:21:31,489:INFO:Preloading libraries
  19274. 2022-02-07 08:21:31,775:INFO:Copying training dataset
  19275. 2022-02-07 08:21:31,776:INFO:Copying test dataset
  19276. 2022-02-07 08:21:31,776:INFO:Plot type: class_report
  19277. 2022-02-07 08:21:31,783:INFO:Initializing get_config()
  19278. 2022-02-07 08:21:31,783:INFO:get_config(variable=prep_pipe)
  19279. 2022-02-07 08:21:31,786:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19280. steps=[('dtypes',
  19281. DataTypes_Auto_infer(categorical_features=[],
  19282. display_types=True, features_todrop=[],
  19283. id_columns=[],
  19284. ml_usecase='classification',
  19285. numerical_features=[], target='label',
  19286. time_features=[])),
  19287. ('imputer',
  19288. Simple_Imputer(categorical_strategy='not_available',
  19289. fill_value_categorical=None,
  19290. fill_value_numerical=None,
  19291. numeric_strate...
  19292. target='label')),
  19293. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19294. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19295. ('dummy', Dummify(target='label')),
  19296. ('fix_perfect', Remove_100(target='label')),
  19297. ('clean_names', Clean_Colum_Names()),
  19298. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19299. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19300. verbose=False)
  19301. 2022-02-07 08:21:31,786:INFO:get_config() succesfully completed......................................
  19302. 2022-02-07 08:21:31,794:INFO:Fitting Model
  19303. 2022-02-07 08:21:31,795:INFO:Scoring test/hold-out set
  19304. 2022-02-07 08:21:31,967:INFO:Visual Rendered Successfully
  19305. 2022-02-07 08:21:32,064:INFO:plot_model() succesfully completed......................................
  19306. 2022-02-07 08:23:25,292:INFO:Initializing plot_model()
  19307. 2022-02-07 08:23:25,292:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19308. colsample_bynode=1, colsample_bytree=0.8,
  19309. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19310. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19311. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19312. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19313. num_parallel_tree=1, objective='binary:logistic',
  19314. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19315. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19316. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=learning, plot_kwargs={}, save=False, scale=1, system=True)
  19317. 2022-02-07 08:23:25,292:INFO:Checking exceptions
  19318. 2022-02-07 08:23:25,296:INFO:Preparing display monitor
  19319. 2022-02-07 08:23:25,299:INFO:Preloading libraries
  19320. 2022-02-07 08:23:25,584:INFO:Copying training dataset
  19321. 2022-02-07 08:23:25,585:INFO:Copying test dataset
  19322. 2022-02-07 08:23:25,585:INFO:Plot type: learning
  19323. 2022-02-07 08:23:25,605:INFO:Fitting Model
  19324. 2022-02-07 08:37:54,463:INFO:Visual Rendered Successfully
  19325. 2022-02-07 08:37:54,542:INFO:plot_model() succesfully completed......................................
  19326. 2022-02-07 10:49:16,101:INFO:Initializing interpret_model()
  19327. 2022-02-07 10:49:16,101:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19328. colsample_bynode=1, colsample_bytree=0.8,
  19329. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19330. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19331. max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
  19332. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19333. num_parallel_tree=1, objective='binary:logistic',
  19334. predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
  19335. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19336. use_label_encoder=True, validate_parameters=1, ...), use_train_data=False, X_new_sample=None, y_new_sample=None, feature=None, kwargs={}, observation=None, plot=summary, save=False)
  19337. 2022-02-07 10:49:16,101:INFO:Checking exceptions
  19338. 2022-02-07 10:49:16,225:INFO:plot type: summary
  19339. 2022-02-07 10:49:16,225:INFO:Creating TreeExplainer
  19340. 2022-02-07 10:49:17,492:INFO:Compiling shap values
  19341. 2022-02-07 10:49:20,098:INFO:Visual Rendered Successfully
  19342. 2022-02-07 10:49:20,098:INFO:interpret_model() succesfully completed......................................
  19343. 2022-02-07 10:54:39,848:INFO:PyCaret Supervised Module
  19344. 2022-02-07 10:54:39,849:INFO:ML Usecase: classification
  19345. 2022-02-07 10:54:39,849:INFO:version 2.3.6
  19346. 2022-02-07 10:54:39,849:INFO:Initializing setup()
  19347. 2022-02-07 10:54:39,849:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  19348. 2022-02-07 10:54:39,849:INFO:Checking environment
  19349. 2022-02-07 10:54:39,849:INFO:python_version: 3.8.12
  19350. 2022-02-07 10:54:39,849:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  19351. 2022-02-07 10:54:39,849:INFO:machine: AMD64
  19352. 2022-02-07 10:54:39,849:INFO:platform: Windows-10-10.0.22000-SP0
  19353. 2022-02-07 10:54:39,849:INFO:Memory: svmem(total=68629372928, available=56005222400, percent=18.4, used=12624150528, free=56005222400)
  19354. 2022-02-07 10:54:39,849:INFO:Physical Core: 16
  19355. 2022-02-07 10:54:39,849:INFO:Logical Core: 32
  19356. 2022-02-07 10:54:39,849:INFO:Checking libraries
  19357. 2022-02-07 10:54:39,849:INFO:pd==1.3.5
  19358. 2022-02-07 10:54:39,849:INFO:numpy==1.21.5
  19359. 2022-02-07 10:54:39,849:INFO:sklearn==0.23.2
  19360. 2022-02-07 10:54:39,850:INFO:lightgbm==3.3.2
  19361. 2022-02-07 10:54:40,131:INFO:catboost==1.0.4
  19362. 2022-02-07 10:54:40,439:INFO:xgboost==1.5.2
  19363. 2022-02-07 10:54:41,145:INFO:mlflow==1.23.1
  19364. 2022-02-07 10:54:41,146:INFO:Checking Exceptions
  19365. 2022-02-07 10:54:41,147:INFO:Declaring global variables
  19366. 2022-02-07 10:54:41,147:INFO:USI: ece6
  19367. 2022-02-07 10:54:41,147:INFO:pycaret_globals: {'_available_plots', 'create_model_container', '_all_models', 'y_test', 'fold_groups_param_full', 'y_train', 'X_test', 'fix_imbalance_param', 'log_plots_param', '_all_metrics', 'prep_pipe', 'imputation_classifier', 'fold_generator', 'data_before_preprocess', 'X_train', 'stratify_param', 'X', '_all_models_internal', 'pycaret_globals', 'imputation_regressor', 'seed', 'html_param', 'iterative_imputation_iters_param', '_ml_usecase', 'master_model_container', 'USI', 'transform_target_param', 'transform_target_method_param', 'fold_param', 'fold_shuffle_param', 'gpu_param', 'target_param', '_gpu_n_jobs_param', 'experiment__', '_internal_pipeline', 'fix_imbalance_method_param', 'display_container', 'exp_name_log', 'fold_groups_param', 'n_jobs_param', 'logging_param', 'y'}
  19368. 2022-02-07 10:54:41,147:INFO:Preparing display monitor
  19369. 2022-02-07 10:54:41,147:INFO:Preparing display monitor
  19370. 2022-02-07 10:54:41,157:INFO:Importing libraries
  19371. 2022-02-07 10:54:41,157:INFO:Copying data for preprocessing
  19372. 2022-02-07 10:54:41,163:INFO:Declaring preprocessing parameters
  19373. 2022-02-07 10:54:41,163:WARNING:cuML not found
  19374. 2022-02-07 10:54:41,163:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  19375. 2022-02-07 10:54:41,167:INFO:Creating preprocessing pipeline
  19376. 2022-02-07 10:54:41,221:INFO:Preprocessing pipeline created successfully
  19377. 2022-02-07 10:54:41,221:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  19378. 2022-02-07 10:54:41,222:INFO:Creating global containers
  19379. 2022-02-07 10:54:41,224:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  19380. 2022-02-07 10:55:08,904:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  19381. 2022-02-07 10:55:08,938:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  19382. 2022-02-07 10:55:08,940:WARNING:Couldn't import cuml.MBSGDClassifier
  19383. 2022-02-07 10:55:08,941:WARNING:Couldn't import cuml.svm.SVC
  19384. 2022-02-07 10:55:08,962:WARNING:Couldn't import cuml.linear_model
  19385. 2022-02-07 10:55:08,966:WARNING:Couldn't import cuml.ensemble
  19386. 2022-02-07 10:55:09,417:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  19387. 2022-02-07 10:55:09,478:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  19388. 2022-02-07 10:55:09,479:WARNING:Couldn't import cuml.MBSGDClassifier
  19389. 2022-02-07 10:55:09,481:WARNING:Couldn't import cuml.svm.SVC
  19390. 2022-02-07 10:55:09,513:WARNING:Couldn't import cuml.linear_model
  19391. 2022-02-07 10:55:09,517:WARNING:Couldn't import cuml.ensemble
  19392. 2022-02-07 10:55:09,637:INFO:Creating grid variables
  19393. 2022-02-07 10:55:09,651:INFO:create_model_container: 0
  19394. 2022-02-07 10:55:09,651:INFO:master_model_container: 0
  19395. 2022-02-07 10:55:09,651:INFO:display_container: 1
  19396. 2022-02-07 10:55:09,657:INFO:Pipeline(memory=None,
  19397. steps=[('dtypes',
  19398. DataTypes_Auto_infer(categorical_features=[],
  19399. display_types=True, features_todrop=[],
  19400. id_columns=[],
  19401. ml_usecase='classification',
  19402. numerical_features=[], target='label',
  19403. time_features=[])),
  19404. ('imputer',
  19405. Simple_Imputer(categorical_strategy='not_available',
  19406. fill_value_categorical=None,
  19407. fill_value_numerical=None,
  19408. numeric_strate...
  19409. target='label')),
  19410. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19411. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19412. ('dummy', Dummify(target='label')),
  19413. ('fix_perfect', Remove_100(target='label')),
  19414. ('clean_names', Clean_Colum_Names()),
  19415. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19416. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19417. verbose=False)
  19418. 2022-02-07 10:55:09,657:INFO:setup() succesfully completed......................................
  19419. 2022-02-07 11:01:55,359:INFO:Initializing create_model()
  19420. 2022-02-07 11:01:55,359:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 16, 'max_leaves': 1024})
  19421. 2022-02-07 11:01:55,359:INFO:Checking exceptions
  19422. 2022-02-07 11:01:55,359:INFO:Preparing display monitor
  19423. 2022-02-07 11:01:55,370:INFO:Importing libraries
  19424. 2022-02-07 11:01:55,371:INFO:Copying training dataset
  19425. 2022-02-07 11:01:55,372:INFO:Defining folds
  19426. 2022-02-07 11:01:55,372:INFO:Declaring metric variables
  19427. 2022-02-07 11:01:55,376:INFO:Importing untrained model
  19428. 2022-02-07 11:01:55,382:INFO:Extreme Gradient Boosting Imported succesfully
  19429. 2022-02-07 11:01:55,392:INFO:Starting cross validation
  19430. 2022-02-07 11:01:55,393:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  19431. 2022-02-07 11:02:32,717:INFO:Calculating mean and std
  19432. 2022-02-07 11:02:32,718:INFO:Creating metrics dataframe
  19433. 2022-02-07 11:02:32,730:INFO:Finalizing model
  19434. 2022-02-07 11:02:36,461:INFO:Uploading results into container
  19435. 2022-02-07 11:02:36,461:INFO:Uploading model into container now
  19436. 2022-02-07 11:02:36,469:INFO:create_model_container: 1
  19437. 2022-02-07 11:02:36,470:INFO:master_model_container: 1
  19438. 2022-02-07 11:02:36,470:INFO:display_container: 2
  19439. 2022-02-07 11:02:36,471:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19440. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  19441. gamma=0, gpu_id=0, importance_type=None,
  19442. interaction_constraints='', learning_rate=0.300000012,
  19443. max_delta_step=0, max_depth=16, max_leaves=1024,
  19444. min_child_weight=1, missing=nan, monotone_constraints='()',
  19445. n_estimators=100, n_jobs=-1, num_parallel_tree=1,
  19446. objective='binary:logistic', predictor='auto', random_state=1504,
  19447. reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
  19448. tree_method='gpu_hist', use_label_encoder=True,
  19449. validate_parameters=1, ...)
  19450. 2022-02-07 11:02:36,471:INFO:create_model() succesfully completed......................................
  19451. 2022-02-07 11:03:16,205:INFO:Initializing create_model()
  19452. 2022-02-07 11:03:16,205:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  19453. 2022-02-07 11:03:16,205:INFO:Checking exceptions
  19454. 2022-02-07 11:03:16,205:INFO:Preparing display monitor
  19455. 2022-02-07 11:03:16,217:INFO:Importing libraries
  19456. 2022-02-07 11:03:16,217:INFO:Copying training dataset
  19457. 2022-02-07 11:03:16,218:INFO:Defining folds
  19458. 2022-02-07 11:03:16,218:INFO:Declaring metric variables
  19459. 2022-02-07 11:03:16,223:INFO:Importing untrained model
  19460. 2022-02-07 11:03:16,228:INFO:Extreme Gradient Boosting Imported succesfully
  19461. 2022-02-07 11:03:16,237:INFO:Starting cross validation
  19462. 2022-02-07 11:03:16,238:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  19463. 2022-02-07 11:03:27,978:INFO:Calculating mean and std
  19464. 2022-02-07 11:03:27,979:INFO:Creating metrics dataframe
  19465. 2022-02-07 11:03:27,990:INFO:Finalizing model
  19466. 2022-02-07 11:03:28,919:INFO:Uploading results into container
  19467. 2022-02-07 11:03:28,919:INFO:Uploading model into container now
  19468. 2022-02-07 11:03:28,926:INFO:create_model_container: 2
  19469. 2022-02-07 11:03:28,926:INFO:master_model_container: 2
  19470. 2022-02-07 11:03:28,927:INFO:display_container: 3
  19471. 2022-02-07 11:03:28,928:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19472. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  19473. gamma=0, gpu_id=0, importance_type=None,
  19474. interaction_constraints='', learning_rate=0.300000012,
  19475. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  19476. missing=nan, monotone_constraints='()', n_estimators=100,
  19477. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  19478. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19479. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19480. use_label_encoder=True, validate_parameters=1, ...)
  19481. 2022-02-07 11:03:28,928:INFO:create_model() succesfully completed......................................
  19482. 2022-02-07 11:05:44,992:INFO:Initializing get_config()
  19483. 2022-02-07 11:05:44,992:INFO:get_config(variable=prep_pipe)
  19484. 2022-02-07 11:05:44,995:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19485. steps=[('dtypes',
  19486. DataTypes_Auto_infer(categorical_features=[],
  19487. display_types=True, features_todrop=[],
  19488. id_columns=[],
  19489. ml_usecase='classification',
  19490. numerical_features=[], target='label',
  19491. time_features=[])),
  19492. ('imputer',
  19493. Simple_Imputer(categorical_strategy='not_available',
  19494. fill_value_categorical=None,
  19495. fill_value_numerical=None,
  19496. numeric_strate...
  19497. target='label')),
  19498. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19499. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19500. ('dummy', Dummify(target='label')),
  19501. ('fix_perfect', Remove_100(target='label')),
  19502. ('clean_names', Clean_Colum_Names()),
  19503. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19504. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19505. verbose=False)
  19506. 2022-02-07 11:05:44,995:INFO:get_config() succesfully completed......................................
  19507. 2022-02-07 11:09:06,796:INFO:Initializing tune_model()
  19508. 2022-02-07 11:09:06,796:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19509. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  19510. gamma=0, gpu_id=0, importance_type=None,
  19511. interaction_constraints='', learning_rate=0.300000012,
  19512. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  19513. missing=nan, monotone_constraints='()', n_estimators=100,
  19514. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  19515. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19516. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19517. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'learning_rate': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  19518. 2022-02-07 11:09:06,796:INFO:Checking exceptions
  19519. 2022-02-07 11:09:06,797:INFO:Preparing display monitor
  19520. 2022-02-07 11:09:06,808:INFO:Copying training dataset
  19521. 2022-02-07 11:09:06,809:INFO:Checking base model
  19522. 2022-02-07 11:09:06,809:INFO:Base model : Extreme Gradient Boosting
  19523. 2022-02-07 11:09:06,815:INFO:Declaring metric variables
  19524. 2022-02-07 11:09:06,820:INFO:Defining Hyperparameters
  19525. 2022-02-07 11:09:06,959:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__learning_rate': [0.05, 0.005]}
  19526. 2022-02-07 11:09:06,960:INFO:Tuning with n_jobs=1
  19527. 2022-02-07 11:09:06,960:INFO:Initializing RandomizedSearchCV
  19528. 2022-02-07 11:21:18,768:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 64, 'actual_estimator__learning_rate': 0.05, 'actual_estimator__colsample_bytree': 0.6}
  19529. 2022-02-07 11:21:18,769:INFO:Hyperparameter search completed
  19530. 2022-02-07 11:21:18,769:INFO:SubProcess create_model() called ==================================
  19531. 2022-02-07 11:21:18,770:INFO:Initializing create_model()
  19532. 2022-02-07 11:21:18,770:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19533. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  19534. gamma=0, gpu_id=0, importance_type=None,
  19535. interaction_constraints='', learning_rate=0.300000012,
  19536. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  19537. missing=nan, monotone_constraints='()', n_estimators=100,
  19538. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  19539. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19540. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19541. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000022C8BF32820>, kwargs={'max_leaves': 1024, 'max_depth': 64, 'learning_rate': 0.05, 'colsample_bytree': 0.6})
  19542. 2022-02-07 11:21:18,770:INFO:Checking exceptions
  19543. 2022-02-07 11:21:18,770:INFO:Importing libraries
  19544. 2022-02-07 11:21:18,770:INFO:Copying training dataset
  19545. 2022-02-07 11:21:18,772:INFO:Defining folds
  19546. 2022-02-07 11:21:18,772:INFO:Declaring metric variables
  19547. 2022-02-07 11:21:18,779:INFO:Importing untrained model
  19548. 2022-02-07 11:21:18,779:INFO:Declaring custom model
  19549. 2022-02-07 11:21:18,787:INFO:Extreme Gradient Boosting Imported succesfully
  19550. 2022-02-07 11:21:18,800:INFO:Starting cross validation
  19551. 2022-02-07 11:21:18,801:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  19552. 2022-02-07 11:23:07,265:INFO:Calculating mean and std
  19553. 2022-02-07 11:23:07,266:INFO:Creating metrics dataframe
  19554. 2022-02-07 11:23:07,276:INFO:Finalizing model
  19555. 2022-02-07 11:23:20,419:INFO:Uploading results into container
  19556. 2022-02-07 11:23:20,420:INFO:Uploading model into container now
  19557. 2022-02-07 11:23:20,420:INFO:create_model_container: 3
  19558. 2022-02-07 11:23:20,420:INFO:master_model_container: 3
  19559. 2022-02-07 11:23:20,420:INFO:display_container: 4
  19560. 2022-02-07 11:23:20,421:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19561. colsample_bynode=1, colsample_bytree=0.6,
  19562. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19563. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19564. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19565. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19566. num_parallel_tree=1, objective='binary:logistic',
  19567. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19568. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19569. use_label_encoder=True, validate_parameters=1, ...)
  19570. 2022-02-07 11:23:20,421:INFO:create_model() succesfully completed......................................
  19571. 2022-02-07 11:23:20,563:INFO:SubProcess create_model() end ==================================
  19572. 2022-02-07 11:23:20,571:INFO:create_model_container: 3
  19573. 2022-02-07 11:23:20,571:INFO:master_model_container: 3
  19574. 2022-02-07 11:23:20,571:INFO:display_container: 4
  19575. 2022-02-07 11:23:20,572:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19576. colsample_bynode=1, colsample_bytree=0.6,
  19577. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19578. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19579. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19580. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19581. num_parallel_tree=1, objective='binary:logistic',
  19582. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19583. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19584. use_label_encoder=True, validate_parameters=1, ...)
  19585. 2022-02-07 11:23:20,572:INFO:tune_model() succesfully completed......................................
  19586. 2022-02-07 11:25:13,263:INFO:Initializing interpret_model()
  19587. 2022-02-07 11:25:13,263:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19588. colsample_bynode=1, colsample_bytree=0.6,
  19589. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19590. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19591. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19592. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19593. num_parallel_tree=1, objective='binary:logistic',
  19594. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19595. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19596. use_label_encoder=True, validate_parameters=1, ...), use_train_data=False, X_new_sample=None, y_new_sample=None, feature=None, kwargs={}, observation=None, plot=summary, save=False)
  19597. 2022-02-07 11:25:13,263:INFO:Checking exceptions
  19598. 2022-02-07 11:25:13,380:INFO:plot type: summary
  19599. 2022-02-07 11:25:13,380:INFO:Creating TreeExplainer
  19600. 2022-02-07 11:25:14,729:INFO:Compiling shap values
  19601. 2022-02-07 11:25:16,213:INFO:Visual Rendered Successfully
  19602. 2022-02-07 11:25:16,213:INFO:interpret_model() succesfully completed......................................
  19603. 2022-02-07 11:46:23,513:INFO:Initializing evaluate_model()
  19604. 2022-02-07 11:46:23,513:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19605. colsample_bynode=1, colsample_bytree=0.6,
  19606. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19607. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19608. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19609. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19610. num_parallel_tree=1, objective='binary:logistic',
  19611. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19612. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19613. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  19614. 2022-02-07 11:46:23,528:INFO:Initializing plot_model()
  19615. 2022-02-07 11:46:23,528:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19616. colsample_bynode=1, colsample_bytree=0.6,
  19617. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19618. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19619. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19620. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19621. num_parallel_tree=1, objective='binary:logistic',
  19622. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19623. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19624. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19625. 2022-02-07 11:46:23,528:INFO:Checking exceptions
  19626. 2022-02-07 11:46:23,532:INFO:Preparing display monitor
  19627. 2022-02-07 11:46:23,536:INFO:Preloading libraries
  19628. 2022-02-07 11:46:23,843:INFO:Copying training dataset
  19629. 2022-02-07 11:46:23,845:INFO:Copying test dataset
  19630. 2022-02-07 11:46:23,845:INFO:Plot type: parameter
  19631. 2022-02-07 11:46:23,856:INFO:Visual Rendered Successfully
  19632. 2022-02-07 11:46:23,998:INFO:plot_model() succesfully completed......................................
  19633. 2022-02-07 12:52:57,875:INFO:Initializing plot_model()
  19634. 2022-02-07 12:52:57,875:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19635. colsample_bynode=1, colsample_bytree=0.6,
  19636. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19637. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19638. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19639. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19640. num_parallel_tree=1, objective='binary:logistic',
  19641. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19642. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19643. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  19644. 2022-02-07 12:52:57,876:INFO:Checking exceptions
  19645. 2022-02-07 12:52:57,879:INFO:Preparing display monitor
  19646. 2022-02-07 12:52:57,883:INFO:Preloading libraries
  19647. 2022-02-07 12:52:58,185:INFO:Copying training dataset
  19648. 2022-02-07 12:52:58,186:INFO:Copying test dataset
  19649. 2022-02-07 12:52:58,186:INFO:Plot type: lift
  19650. 2022-02-07 12:52:58,193:INFO:Generating predictions / predict_proba on X_test
  19651. 2022-02-07 12:52:58,513:INFO:Visual Rendered Successfully
  19652. 2022-02-07 12:52:58,662:INFO:plot_model() succesfully completed......................................
  19653. 2022-02-07 12:53:03,460:INFO:Initializing plot_model()
  19654. 2022-02-07 12:53:03,460:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19655. colsample_bynode=1, colsample_bytree=0.6,
  19656. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19657. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19658. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19659. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19660. num_parallel_tree=1, objective='binary:logistic',
  19661. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19662. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19663. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  19664. 2022-02-07 12:53:03,460:INFO:Checking exceptions
  19665. 2022-02-07 12:53:03,463:INFO:Preparing display monitor
  19666. 2022-02-07 12:53:03,468:INFO:Preloading libraries
  19667. 2022-02-07 12:53:03,764:INFO:Copying training dataset
  19668. 2022-02-07 12:53:03,765:INFO:Copying test dataset
  19669. 2022-02-07 12:53:03,766:INFO:Plot type: gain
  19670. 2022-02-07 12:53:03,772:INFO:Generating predictions / predict_proba on X_test
  19671. 2022-02-07 12:53:04,096:INFO:Visual Rendered Successfully
  19672. 2022-02-07 12:53:04,241:INFO:plot_model() succesfully completed......................................
  19673. 2022-02-07 12:53:06,997:INFO:Initializing plot_model()
  19674. 2022-02-07 12:53:06,997:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19675. colsample_bynode=1, colsample_bytree=0.6,
  19676. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19677. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19678. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19679. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19680. num_parallel_tree=1, objective='binary:logistic',
  19681. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19682. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19683. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
  19684. 2022-02-07 12:53:06,997:INFO:Checking exceptions
  19685. 2022-02-07 12:53:07,001:INFO:Preparing display monitor
  19686. 2022-02-07 12:53:07,004:INFO:Preloading libraries
  19687. 2022-02-07 12:53:07,294:INFO:Copying training dataset
  19688. 2022-02-07 12:53:07,295:INFO:Copying test dataset
  19689. 2022-02-07 12:53:07,296:INFO:Plot type: feature_all
  19690. 2022-02-07 12:53:07,303:WARNING:No coef_ found. Trying feature_importances_
  19691. 2022-02-07 12:53:07,328:INFO:Visual Rendered Successfully
  19692. 2022-02-07 12:53:07,461:INFO:plot_model() succesfully completed......................................
  19693. 2022-02-07 12:53:19,722:INFO:Initializing evaluate_model()
  19694. 2022-02-07 12:53:19,722:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19695. colsample_bynode=1, colsample_bytree=0.6,
  19696. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19697. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19698. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19699. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19700. num_parallel_tree=1, objective='binary:logistic',
  19701. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19702. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19703. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  19704. 2022-02-07 12:53:19,735:INFO:Initializing plot_model()
  19705. 2022-02-07 12:53:19,735:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19706. colsample_bynode=1, colsample_bytree=0.6,
  19707. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19708. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19709. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19710. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19711. num_parallel_tree=1, objective='binary:logistic',
  19712. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19713. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19714. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19715. 2022-02-07 12:53:19,735:INFO:Checking exceptions
  19716. 2022-02-07 12:53:19,738:INFO:Preparing display monitor
  19717. 2022-02-07 12:53:19,742:INFO:Preloading libraries
  19718. 2022-02-07 12:53:20,044:INFO:Copying training dataset
  19719. 2022-02-07 12:53:20,045:INFO:Copying test dataset
  19720. 2022-02-07 12:53:20,046:INFO:Plot type: parameter
  19721. 2022-02-07 12:53:20,057:INFO:Visual Rendered Successfully
  19722. 2022-02-07 12:53:20,192:INFO:plot_model() succesfully completed......................................
  19723. 2022-02-07 12:53:22,104:INFO:Initializing plot_model()
  19724. 2022-02-07 12:53:22,104:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19725. colsample_bynode=1, colsample_bytree=0.6,
  19726. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19727. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19728. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19729. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19730. num_parallel_tree=1, objective='binary:logistic',
  19731. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19732. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19733. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  19734. 2022-02-07 12:53:22,104:INFO:Checking exceptions
  19735. 2022-02-07 12:53:22,108:INFO:Preparing display monitor
  19736. 2022-02-07 12:53:22,111:INFO:Preloading libraries
  19737. 2022-02-07 12:53:22,402:INFO:Copying training dataset
  19738. 2022-02-07 12:53:22,403:INFO:Copying test dataset
  19739. 2022-02-07 12:53:22,403:INFO:Plot type: lift
  19740. 2022-02-07 12:53:22,410:INFO:Generating predictions / predict_proba on X_test
  19741. 2022-02-07 12:53:22,738:INFO:Visual Rendered Successfully
  19742. 2022-02-07 12:53:22,880:INFO:plot_model() succesfully completed......................................
  19743. 2022-02-07 12:53:24,534:INFO:Initializing plot_model()
  19744. 2022-02-07 12:53:24,534:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19745. colsample_bynode=1, colsample_bytree=0.6,
  19746. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19747. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19748. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19749. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19750. num_parallel_tree=1, objective='binary:logistic',
  19751. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19752. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19753. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19754. 2022-02-07 12:53:24,534:INFO:Checking exceptions
  19755. 2022-02-07 12:53:24,537:INFO:Preparing display monitor
  19756. 2022-02-07 12:53:24,541:INFO:Preloading libraries
  19757. 2022-02-07 12:53:24,832:INFO:Copying training dataset
  19758. 2022-02-07 12:53:24,833:INFO:Copying test dataset
  19759. 2022-02-07 12:53:24,834:INFO:Plot type: parameter
  19760. 2022-02-07 12:53:24,845:INFO:Visual Rendered Successfully
  19761. 2022-02-07 12:53:24,972:INFO:plot_model() succesfully completed......................................
  19762. 2022-02-07 12:53:27,064:INFO:Initializing plot_model()
  19763. 2022-02-07 12:53:27,064:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19764. colsample_bynode=1, colsample_bytree=0.6,
  19765. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19766. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19767. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19768. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19769. num_parallel_tree=1, objective='binary:logistic',
  19770. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19771. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19772. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  19773. 2022-02-07 12:53:27,064:INFO:Checking exceptions
  19774. 2022-02-07 12:53:27,068:INFO:Preparing display monitor
  19775. 2022-02-07 12:53:27,071:INFO:Preloading libraries
  19776. 2022-02-07 12:53:27,355:INFO:Copying training dataset
  19777. 2022-02-07 12:53:27,356:INFO:Copying test dataset
  19778. 2022-02-07 12:53:27,357:INFO:Plot type: confusion_matrix
  19779. 2022-02-07 12:53:27,364:INFO:Initializing get_config()
  19780. 2022-02-07 12:53:27,364:INFO:get_config(variable=prep_pipe)
  19781. 2022-02-07 12:53:27,367:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19782. steps=[('dtypes',
  19783. DataTypes_Auto_infer(categorical_features=[],
  19784. display_types=True, features_todrop=[],
  19785. id_columns=[],
  19786. ml_usecase='classification',
  19787. numerical_features=[], target='label',
  19788. time_features=[])),
  19789. ('imputer',
  19790. Simple_Imputer(categorical_strategy='not_available',
  19791. fill_value_categorical=None,
  19792. fill_value_numerical=None,
  19793. numeric_strate...
  19794. target='label')),
  19795. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19796. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19797. ('dummy', Dummify(target='label')),
  19798. ('fix_perfect', Remove_100(target='label')),
  19799. ('clean_names', Clean_Colum_Names()),
  19800. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19801. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19802. verbose=False)
  19803. 2022-02-07 12:53:27,367:INFO:get_config() succesfully completed......................................
  19804. 2022-02-07 12:53:27,375:INFO:Fitting Model
  19805. 2022-02-07 12:53:27,376:INFO:Scoring test/hold-out set
  19806. 2022-02-07 12:53:27,495:INFO:Visual Rendered Successfully
  19807. 2022-02-07 12:53:27,627:INFO:plot_model() succesfully completed......................................
  19808. 2022-02-07 12:53:36,704:INFO:Initializing interpret_model()
  19809. 2022-02-07 12:53:36,704:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19810. colsample_bynode=1, colsample_bytree=0.6,
  19811. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19812. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19813. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19814. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19815. num_parallel_tree=1, objective='binary:logistic',
  19816. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19817. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19818. use_label_encoder=True, validate_parameters=1, ...), use_train_data=False, X_new_sample=None, y_new_sample=None, feature=None, kwargs={}, observation=None, plot=summary, save=False)
  19819. 2022-02-07 12:53:36,704:INFO:Checking exceptions
  19820. 2022-02-07 12:53:36,704:INFO:plot type: summary
  19821. 2022-02-07 12:53:36,704:INFO:Creating TreeExplainer
  19822. 2022-02-07 12:53:38,057:INFO:Compiling shap values
  19823. 2022-02-07 12:53:39,525:INFO:Visual Rendered Successfully
  19824. 2022-02-07 12:53:39,525:INFO:interpret_model() succesfully completed......................................
  19825. 2022-02-07 12:53:49,150:INFO:Initializing interpret_model()
  19826. 2022-02-07 12:53:49,150:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19827. colsample_bynode=1, colsample_bytree=0.6,
  19828. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19829. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19830. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19831. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19832. num_parallel_tree=1, objective='binary:logistic',
  19833. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19834. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19835. use_label_encoder=True, validate_parameters=1, ...), use_train_data=False, X_new_sample=None, y_new_sample=None, feature=None, kwargs={}, observation=None, plot=summary, save=False)
  19836. 2022-02-07 12:53:49,150:INFO:Checking exceptions
  19837. 2022-02-07 12:53:49,150:INFO:plot type: summary
  19838. 2022-02-07 12:53:49,150:INFO:Creating TreeExplainer
  19839. 2022-02-07 12:53:50,482:INFO:Compiling shap values
  19840. 2022-02-07 12:53:51,834:INFO:Visual Rendered Successfully
  19841. 2022-02-07 12:53:51,834:INFO:interpret_model() succesfully completed......................................
  19842. 2022-02-07 12:54:04,494:INFO:Initializing plot_model()
  19843. 2022-02-07 12:54:04,494:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19844. colsample_bynode=1, colsample_bytree=0.6,
  19845. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19846. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19847. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19848. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19849. num_parallel_tree=1, objective='binary:logistic',
  19850. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19851. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19852. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  19853. 2022-02-07 12:54:04,494:INFO:Checking exceptions
  19854. 2022-02-07 12:54:04,498:INFO:Preparing display monitor
  19855. 2022-02-07 12:54:04,502:INFO:Preloading libraries
  19856. 2022-02-07 12:54:04,841:INFO:Copying training dataset
  19857. 2022-02-07 12:54:04,842:INFO:Copying test dataset
  19858. 2022-02-07 12:54:04,843:INFO:Plot type: parameter
  19859. 2022-02-07 12:54:04,855:INFO:Visual Rendered Successfully
  19860. 2022-02-07 12:54:05,002:INFO:plot_model() succesfully completed......................................
  19861. 2022-02-07 12:54:06,693:INFO:Initializing plot_model()
  19862. 2022-02-07 12:54:06,693:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19863. colsample_bynode=1, colsample_bytree=0.6,
  19864. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19865. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19866. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19867. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19868. num_parallel_tree=1, objective='binary:logistic',
  19869. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19870. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19871. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  19872. 2022-02-07 12:54:06,693:INFO:Checking exceptions
  19873. 2022-02-07 12:54:06,696:INFO:Preparing display monitor
  19874. 2022-02-07 12:54:06,700:INFO:Preloading libraries
  19875. 2022-02-07 12:54:06,990:INFO:Copying training dataset
  19876. 2022-02-07 12:54:06,991:INFO:Copying test dataset
  19877. 2022-02-07 12:54:06,992:INFO:Plot type: auc
  19878. 2022-02-07 12:54:06,999:INFO:Initializing get_config()
  19879. 2022-02-07 12:54:06,999:INFO:get_config(variable=prep_pipe)
  19880. 2022-02-07 12:54:07,002:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19881. steps=[('dtypes',
  19882. DataTypes_Auto_infer(categorical_features=[],
  19883. display_types=True, features_todrop=[],
  19884. id_columns=[],
  19885. ml_usecase='classification',
  19886. numerical_features=[], target='label',
  19887. time_features=[])),
  19888. ('imputer',
  19889. Simple_Imputer(categorical_strategy='not_available',
  19890. fill_value_categorical=None,
  19891. fill_value_numerical=None,
  19892. numeric_strate...
  19893. target='label')),
  19894. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19895. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19896. ('dummy', Dummify(target='label')),
  19897. ('fix_perfect', Remove_100(target='label')),
  19898. ('clean_names', Clean_Colum_Names()),
  19899. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19900. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19901. verbose=False)
  19902. 2022-02-07 12:54:07,002:INFO:get_config() succesfully completed......................................
  19903. 2022-02-07 12:54:07,010:INFO:Fitting Model
  19904. 2022-02-07 12:54:07,012:INFO:Scoring test/hold-out set
  19905. 2022-02-07 12:54:07,069:INFO:Visual Rendered Successfully
  19906. 2022-02-07 12:54:07,218:INFO:plot_model() succesfully completed......................................
  19907. 2022-02-07 12:54:24,937:INFO:Initializing plot_model()
  19908. 2022-02-07 12:54:24,937:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19909. colsample_bynode=1, colsample_bytree=0.6,
  19910. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19911. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19912. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19913. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19914. num_parallel_tree=1, objective='binary:logistic',
  19915. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19916. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19917. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  19918. 2022-02-07 12:54:24,937:INFO:Checking exceptions
  19919. 2022-02-07 12:54:24,941:INFO:Preparing display monitor
  19920. 2022-02-07 12:54:24,944:INFO:Preloading libraries
  19921. 2022-02-07 12:54:25,236:INFO:Copying training dataset
  19922. 2022-02-07 12:54:25,237:INFO:Copying test dataset
  19923. 2022-02-07 12:54:25,238:INFO:Plot type: confusion_matrix
  19924. 2022-02-07 12:54:25,245:INFO:Initializing get_config()
  19925. 2022-02-07 12:54:25,245:INFO:get_config(variable=prep_pipe)
  19926. 2022-02-07 12:54:25,248:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19927. steps=[('dtypes',
  19928. DataTypes_Auto_infer(categorical_features=[],
  19929. display_types=True, features_todrop=[],
  19930. id_columns=[],
  19931. ml_usecase='classification',
  19932. numerical_features=[], target='label',
  19933. time_features=[])),
  19934. ('imputer',
  19935. Simple_Imputer(categorical_strategy='not_available',
  19936. fill_value_categorical=None,
  19937. fill_value_numerical=None,
  19938. numeric_strate...
  19939. target='label')),
  19940. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19941. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19942. ('dummy', Dummify(target='label')),
  19943. ('fix_perfect', Remove_100(target='label')),
  19944. ('clean_names', Clean_Colum_Names()),
  19945. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19946. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19947. verbose=False)
  19948. 2022-02-07 12:54:25,249:INFO:get_config() succesfully completed......................................
  19949. 2022-02-07 12:54:25,256:INFO:Fitting Model
  19950. 2022-02-07 12:54:25,257:INFO:Scoring test/hold-out set
  19951. 2022-02-07 12:54:25,363:INFO:Visual Rendered Successfully
  19952. 2022-02-07 12:54:25,488:INFO:plot_model() succesfully completed......................................
  19953. 2022-02-07 12:54:40,456:INFO:Initializing get_config()
  19954. 2022-02-07 12:54:40,456:INFO:get_config(variable=prep_pipe)
  19955. 2022-02-07 12:54:40,460:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  19956. steps=[('dtypes',
  19957. DataTypes_Auto_infer(categorical_features=[],
  19958. display_types=True, features_todrop=[],
  19959. id_columns=[],
  19960. ml_usecase='classification',
  19961. numerical_features=[], target='label',
  19962. time_features=[])),
  19963. ('imputer',
  19964. Simple_Imputer(categorical_strategy='not_available',
  19965. fill_value_categorical=None,
  19966. fill_value_numerical=None,
  19967. numeric_strate...
  19968. target='label')),
  19969. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  19970. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  19971. ('dummy', Dummify(target='label')),
  19972. ('fix_perfect', Remove_100(target='label')),
  19973. ('clean_names', Clean_Colum_Names()),
  19974. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  19975. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  19976. verbose=False)
  19977. 2022-02-07 12:54:40,460:INFO:get_config() succesfully completed......................................
  19978. 2022-02-07 12:55:49,610:INFO:Initializing save_model()
  19979. 2022-02-07 12:55:49,610:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  19980. colsample_bynode=1, colsample_bytree=0.6,
  19981. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  19982. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  19983. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  19984. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  19985. num_parallel_tree=1, objective='binary:logistic',
  19986. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  19987. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  19988. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
  19989. steps=[('dtypes',
  19990. DataTypes_Auto_infer(categorical_features=[],
  19991. display_types=True, features_todrop=[],
  19992. id_columns=[],
  19993. ml_usecase='classification',
  19994. numerical_features=[], target='label',
  19995. time_features=[])),
  19996. ('imputer',
  19997. Simple_Imputer(categorical_strategy='not_available',
  19998. fill_value_categorical=None,
  19999. fill_value_numerical=None,
  20000. numeric_strate...
  20001. target='label')),
  20002. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20003. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20004. ('dummy', Dummify(target='label')),
  20005. ('fix_perfect', Remove_100(target='label')),
  20006. ('clean_names', Clean_Colum_Names()),
  20007. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20008. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20009. verbose=False), verbose=True, kwargs={})
  20010. 2022-02-07 12:55:49,611:INFO:Adding model into prep_pipe
  20011. 2022-02-07 12:55:49,808:INFO:tuned_xgboost_0207.pkl saved in current working directory
  20012. 2022-02-07 12:55:49,816:INFO:Pipeline(memory=None,
  20013. steps=[('dtypes',
  20014. DataTypes_Auto_infer(categorical_features=[],
  20015. display_types=True, features_todrop=[],
  20016. id_columns=[],
  20017. ml_usecase='classification',
  20018. numerical_features=[], target='label',
  20019. time_features=[])),
  20020. ('imputer',
  20021. Simple_Imputer(categorical_strategy='not_available',
  20022. fill_value_categorical=None,
  20023. fill_value_numerical=None,
  20024. numeric_strate...
  20025. max_delta_step=0, max_depth=64, max_leaves=1024,
  20026. min_child_weight=1, missing=nan,
  20027. monotone_constraints='()', n_estimators=100,
  20028. n_jobs=-1, num_parallel_tree=1,
  20029. objective='binary:logistic', predictor='auto',
  20030. random_state=1504, reg_alpha=0, reg_lambda=1,
  20031. scale_pos_weight=1, subsample=1,
  20032. tree_method='gpu_hist', use_label_encoder=True,
  20033. validate_parameters=1, ...)]],
  20034. verbose=False)
  20035. 2022-02-07 12:55:49,816:INFO:save_model() successfully completed......................................
  20036. 2022-02-07 12:58:52,123:INFO:Initializing load_model()
  20037. 2022-02-07 12:58:52,123:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20038. 2022-02-07 12:59:17,131:INFO:Initializing evaluate_model()
  20039. 2022-02-07 12:59:17,131:INFO:evaluate_model(estimator=Pipeline(steps=[('dtypes',
  20040. DataTypes_Auto_infer(ml_usecase='classification',
  20041. target='label')),
  20042. ('imputer',
  20043. Simple_Imputer(categorical_strategy='not_available',
  20044. fill_value_categorical=None,
  20045. fill_value_numerical=None,
  20046. numeric_strategy='mean',
  20047. target_variable=None)),
  20048. ('new_levels1',
  20049. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  20050. 'frequent',
  20051. targe...
  20052. gamma=0, gpu_id=0, importance_type=None,
  20053. interaction_constraints='', learning_rate=0.05,
  20054. max_delta_step=0, max_depth=64, max_leaves=1024,
  20055. min_child_weight=1, missing=nan,
  20056. monotone_constraints='()', n_estimators=100,
  20057. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  20058. random_state=1504, reg_alpha=0, reg_lambda=1,
  20059. scale_pos_weight=1, subsample=1,
  20060. tree_method='gpu_hist', validate_parameters=1,
  20061. verbosity=0)]]), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  20062. 2022-02-07 13:00:03,866:INFO:PyCaret Supervised Module
  20063. 2022-02-07 13:00:03,866:INFO:ML Usecase: classification
  20064. 2022-02-07 13:00:03,866:INFO:version 2.3.6
  20065. 2022-02-07 13:00:03,866:INFO:Initializing setup()
  20066. 2022-02-07 13:00:03,866:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  20067. 2022-02-07 13:00:03,866:INFO:Checking environment
  20068. 2022-02-07 13:00:03,866:INFO:python_version: 3.8.12
  20069. 2022-02-07 13:00:03,866:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  20070. 2022-02-07 13:00:03,866:INFO:machine: AMD64
  20071. 2022-02-07 13:00:03,866:INFO:platform: Windows-10-10.0.22000-SP0
  20072. 2022-02-07 13:00:03,866:INFO:Memory: svmem(total=68629372928, available=52282277888, percent=23.8, used=16347095040, free=52282277888)
  20073. 2022-02-07 13:00:03,867:INFO:Physical Core: 16
  20074. 2022-02-07 13:00:03,867:INFO:Logical Core: 32
  20075. 2022-02-07 13:00:03,867:INFO:Checking libraries
  20076. 2022-02-07 13:00:03,867:INFO:pd==1.3.5
  20077. 2022-02-07 13:00:03,867:INFO:numpy==1.21.5
  20078. 2022-02-07 13:00:03,867:INFO:sklearn==0.23.2
  20079. 2022-02-07 13:00:03,867:INFO:lightgbm==3.3.2
  20080. 2022-02-07 13:00:04,056:INFO:catboost==1.0.4
  20081. 2022-02-07 13:00:04,056:INFO:xgboost==1.5.2
  20082. 2022-02-07 13:00:04,667:INFO:mlflow==1.23.1
  20083. 2022-02-07 13:00:04,667:INFO:Checking Exceptions
  20084. 2022-02-07 13:00:04,667:INFO:Declaring global variables
  20085. 2022-02-07 13:00:04,667:INFO:USI: dde2
  20086. 2022-02-07 13:00:04,667:INFO:pycaret_globals: {'n_jobs_param', '_gpu_n_jobs_param', 'data_before_preprocess', 'stratify_param', 'fold_param', 'X_test', 'seed', '_all_models', 'X_train', 'create_model_container', '_all_models_internal', 'imputation_regressor', 'log_plots_param', 'USI', '_ml_usecase', 'experiment__', 'imputation_classifier', '_available_plots', 'fix_imbalance_param', '_all_metrics', 'master_model_container', 'html_param', 'iterative_imputation_iters_param', 'y_test', 'y', '_internal_pipeline', 'fold_generator', 'fold_shuffle_param', 'logging_param', 'fix_imbalance_method_param', 'fold_groups_param_full', 'transform_target_param', 'prep_pipe', 'exp_name_log', 'gpu_param', 'fold_groups_param', 'X', 'pycaret_globals', 'y_train', 'target_param', 'transform_target_method_param', 'display_container'}
  20087. 2022-02-07 13:00:04,667:INFO:Preparing display monitor
  20088. 2022-02-07 13:00:04,667:INFO:Preparing display monitor
  20089. 2022-02-07 13:00:04,677:INFO:Importing libraries
  20090. 2022-02-07 13:00:04,677:INFO:Copying data for preprocessing
  20091. 2022-02-07 13:00:04,682:INFO:Declaring preprocessing parameters
  20092. 2022-02-07 13:00:04,683:WARNING:cuML not found
  20093. 2022-02-07 13:00:04,683:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  20094. 2022-02-07 13:00:04,686:INFO:Creating preprocessing pipeline
  20095. 2022-02-07 13:00:04,741:INFO:Preprocessing pipeline created successfully
  20096. 2022-02-07 13:00:04,741:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  20097. 2022-02-07 13:00:04,741:INFO:Creating global containers
  20098. 2022-02-07 13:00:04,741:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  20099. 2022-02-07 13:00:06,883:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20100. 2022-02-07 13:00:06,919:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20101. 2022-02-07 13:00:06,921:WARNING:Couldn't import cuml.MBSGDClassifier
  20102. 2022-02-07 13:00:06,922:WARNING:Couldn't import cuml.svm.SVC
  20103. 2022-02-07 13:00:06,941:WARNING:Couldn't import cuml.linear_model
  20104. 2022-02-07 13:00:06,945:WARNING:Couldn't import cuml.ensemble
  20105. 2022-02-07 13:00:07,301:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20106. 2022-02-07 13:00:07,362:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20107. 2022-02-07 13:00:07,363:WARNING:Couldn't import cuml.MBSGDClassifier
  20108. 2022-02-07 13:00:07,364:WARNING:Couldn't import cuml.svm.SVC
  20109. 2022-02-07 13:00:07,395:WARNING:Couldn't import cuml.linear_model
  20110. 2022-02-07 13:00:07,402:WARNING:Couldn't import cuml.ensemble
  20111. 2022-02-07 13:00:07,536:INFO:Creating grid variables
  20112. 2022-02-07 13:00:07,550:INFO:create_model_container: 0
  20113. 2022-02-07 13:00:07,551:INFO:master_model_container: 0
  20114. 2022-02-07 13:00:07,551:INFO:display_container: 1
  20115. 2022-02-07 13:00:07,557:INFO:Pipeline(memory=None,
  20116. steps=[('dtypes',
  20117. DataTypes_Auto_infer(categorical_features=[],
  20118. display_types=True, features_todrop=[],
  20119. id_columns=[],
  20120. ml_usecase='classification',
  20121. numerical_features=[], target='label',
  20122. time_features=[])),
  20123. ('imputer',
  20124. Simple_Imputer(categorical_strategy='not_available',
  20125. fill_value_categorical=None,
  20126. fill_value_numerical=None,
  20127. numeric_strate...
  20128. target='label')),
  20129. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20130. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20131. ('dummy', Dummify(target='label')),
  20132. ('fix_perfect', Remove_100(target='label')),
  20133. ('clean_names', Clean_Colum_Names()),
  20134. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20135. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20136. verbose=False)
  20137. 2022-02-07 13:00:07,557:INFO:setup() succesfully completed......................................
  20138. 2022-02-07 13:00:12,038:INFO:Initializing load_model()
  20139. 2022-02-07 13:00:12,038:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20140. 2022-02-07 13:00:15,388:INFO:Initializing evaluate_model()
  20141. 2022-02-07 13:00:15,388:INFO:evaluate_model(estimator=Pipeline(memory=None,
  20142. steps=[('dtypes',
  20143. DataTypes_Auto_infer(categorical_features=[],
  20144. display_types=True, features_todrop=[],
  20145. id_columns=[],
  20146. ml_usecase='classification',
  20147. numerical_features=[], target='label',
  20148. time_features=[])),
  20149. ('imputer',
  20150. Simple_Imputer(categorical_strategy='not_available',
  20151. fill_value_categorical=None,
  20152. fill_value_numerical=None,
  20153. numeric_strate...
  20154. max_delta_step=0, max_depth=64, max_leaves=1024,
  20155. min_child_weight=1, missing=nan,
  20156. monotone_constraints='()', n_estimators=100,
  20157. n_jobs=-1, num_parallel_tree=1,
  20158. objective='binary:logistic', predictor='auto',
  20159. random_state=1504, reg_alpha=0, reg_lambda=1,
  20160. scale_pos_weight=1, subsample=1,
  20161. tree_method='gpu_hist', use_label_encoder=True,
  20162. validate_parameters=1, ...)]],
  20163. verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  20164. 2022-02-07 13:00:15,408:INFO:Initializing plot_model()
  20165. 2022-02-07 13:00:15,408:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  20166. steps=[('dtypes',
  20167. DataTypes_Auto_infer(categorical_features=[],
  20168. display_types=True, features_todrop=[],
  20169. id_columns=[],
  20170. ml_usecase='classification',
  20171. numerical_features=[], target='label',
  20172. time_features=[])),
  20173. ('imputer',
  20174. Simple_Imputer(categorical_strategy='not_available',
  20175. fill_value_categorical=None,
  20176. fill_value_numerical=None,
  20177. numeric_strate...
  20178. max_delta_step=0, max_depth=64, max_leaves=1024,
  20179. min_child_weight=1, missing=nan,
  20180. monotone_constraints='()', n_estimators=100,
  20181. n_jobs=-1, num_parallel_tree=1,
  20182. objective='binary:logistic', predictor='auto',
  20183. random_state=1504, reg_alpha=0, reg_lambda=1,
  20184. scale_pos_weight=1, subsample=1,
  20185. tree_method='gpu_hist', use_label_encoder=True,
  20186. validate_parameters=1, ...)]],
  20187. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  20188. 2022-02-07 13:00:15,408:INFO:Checking exceptions
  20189. 2022-02-07 13:00:15,409:INFO:Preparing display monitor
  20190. 2022-02-07 13:00:15,413:INFO:Preloading libraries
  20191. 2022-02-07 13:00:15,735:INFO:Copying training dataset
  20192. 2022-02-07 13:00:15,736:INFO:Copying test dataset
  20193. 2022-02-07 13:00:15,737:INFO:Plot type: parameter
  20194. 2022-02-07 13:00:15,743:INFO:Visual Rendered Successfully
  20195. 2022-02-07 13:00:15,869:INFO:plot_model() succesfully completed......................................
  20196. 2022-02-07 13:00:20,027:INFO:Initializing plot_model()
  20197. 2022-02-07 13:00:20,027:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  20198. steps=[('dtypes',
  20199. DataTypes_Auto_infer(categorical_features=[],
  20200. display_types=True, features_todrop=[],
  20201. id_columns=[],
  20202. ml_usecase='classification',
  20203. numerical_features=[], target='label',
  20204. time_features=[])),
  20205. ('imputer',
  20206. Simple_Imputer(categorical_strategy='not_available',
  20207. fill_value_categorical=None,
  20208. fill_value_numerical=None,
  20209. numeric_strate...
  20210. max_delta_step=0, max_depth=64, max_leaves=1024,
  20211. min_child_weight=1, missing=nan,
  20212. monotone_constraints='()', n_estimators=100,
  20213. n_jobs=-1, num_parallel_tree=1,
  20214. objective='binary:logistic', predictor='auto',
  20215. random_state=1504, reg_alpha=0, reg_lambda=1,
  20216. scale_pos_weight=1, subsample=1,
  20217. tree_method='gpu_hist', use_label_encoder=True,
  20218. validate_parameters=1, ...)]],
  20219. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  20220. 2022-02-07 13:00:20,027:INFO:Checking exceptions
  20221. 2022-02-07 13:00:20,028:INFO:Preparing display monitor
  20222. 2022-02-07 13:00:20,032:INFO:Preloading libraries
  20223. 2022-02-07 13:00:20,345:INFO:Copying training dataset
  20224. 2022-02-07 13:00:20,347:INFO:Copying test dataset
  20225. 2022-02-07 13:00:20,347:INFO:Plot type: auc
  20226. 2022-02-07 13:00:20,349:INFO:Initializing get_config()
  20227. 2022-02-07 13:00:20,349:INFO:get_config(variable=prep_pipe)
  20228. 2022-02-07 13:00:20,353:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20229. steps=[('dtypes',
  20230. DataTypes_Auto_infer(categorical_features=[],
  20231. display_types=True, features_todrop=[],
  20232. id_columns=[],
  20233. ml_usecase='classification',
  20234. numerical_features=[], target='label',
  20235. time_features=[])),
  20236. ('imputer',
  20237. Simple_Imputer(categorical_strategy='not_available',
  20238. fill_value_categorical=None,
  20239. fill_value_numerical=None,
  20240. numeric_strate...
  20241. target='label')),
  20242. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20243. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20244. ('dummy', Dummify(target='label')),
  20245. ('fix_perfect', Remove_100(target='label')),
  20246. ('clean_names', Clean_Colum_Names()),
  20247. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20248. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20249. verbose=False)
  20250. 2022-02-07 13:00:20,353:INFO:get_config() succesfully completed......................................
  20251. 2022-02-07 13:00:20,365:INFO:Fitting Model
  20252. 2022-02-07 13:01:30,029:INFO:PyCaret Supervised Module
  20253. 2022-02-07 13:01:30,029:INFO:ML Usecase: classification
  20254. 2022-02-07 13:01:30,029:INFO:version 2.3.6
  20255. 2022-02-07 13:01:30,029:INFO:Initializing setup()
  20256. 2022-02-07 13:01:30,029:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  20257. 2022-02-07 13:01:30,029:INFO:Checking environment
  20258. 2022-02-07 13:01:30,029:INFO:python_version: 3.8.12
  20259. 2022-02-07 13:01:30,029:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  20260. 2022-02-07 13:01:30,029:INFO:machine: AMD64
  20261. 2022-02-07 13:01:30,029:INFO:platform: Windows-10-10.0.22000-SP0
  20262. 2022-02-07 13:01:30,029:INFO:Memory: svmem(total=68629372928, available=52333809664, percent=23.7, used=16295563264, free=52333809664)
  20263. 2022-02-07 13:01:30,029:INFO:Physical Core: 16
  20264. 2022-02-07 13:01:30,030:INFO:Logical Core: 32
  20265. 2022-02-07 13:01:30,030:INFO:Checking libraries
  20266. 2022-02-07 13:01:30,030:INFO:pd==1.3.5
  20267. 2022-02-07 13:01:30,030:INFO:numpy==1.21.5
  20268. 2022-02-07 13:01:30,030:INFO:sklearn==0.23.2
  20269. 2022-02-07 13:01:30,030:INFO:lightgbm==3.3.2
  20270. 2022-02-07 13:01:30,040:INFO:catboost==1.0.4
  20271. 2022-02-07 13:01:30,131:INFO:xgboost==1.5.2
  20272. 2022-02-07 13:01:30,408:INFO:mlflow==1.23.1
  20273. 2022-02-07 13:01:30,408:INFO:Checking Exceptions
  20274. 2022-02-07 13:01:30,408:INFO:Declaring global variables
  20275. 2022-02-07 13:01:30,408:INFO:USI: 6390
  20276. 2022-02-07 13:01:30,408:INFO:pycaret_globals: {'exp_name_log', 'experiment__', 'imputation_regressor', 'iterative_imputation_iters_param', 'create_model_container', 'data_before_preprocess', '_all_models', 'display_container', '_internal_pipeline', 'imputation_classifier', 'seed', 'y', 'master_model_container', 'USI', 'fold_groups_param', '_all_models_internal', 'html_param', 'X_train', '_available_plots', '_ml_usecase', 'log_plots_param', '_all_metrics', 'n_jobs_param', 'fold_groups_param_full', 'fold_param', '_gpu_n_jobs_param', 'y_train', 'X_test', 'fold_generator', 'transform_target_method_param', 'gpu_param', 'y_test', 'fix_imbalance_method_param', 'stratify_param', 'prep_pipe', 'logging_param', 'transform_target_param', 'fold_shuffle_param', 'fix_imbalance_param', 'target_param', 'X', 'pycaret_globals'}
  20277. 2022-02-07 13:01:30,408:INFO:Preparing display monitor
  20278. 2022-02-07 13:01:30,408:INFO:Preparing display monitor
  20279. 2022-02-07 13:01:30,418:INFO:Importing libraries
  20280. 2022-02-07 13:01:30,418:INFO:Copying data for preprocessing
  20281. 2022-02-07 13:01:30,423:INFO:Declaring preprocessing parameters
  20282. 2022-02-07 13:01:30,424:WARNING:cuML not found
  20283. 2022-02-07 13:01:30,424:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  20284. 2022-02-07 13:01:30,427:INFO:Creating preprocessing pipeline
  20285. 2022-02-07 13:01:30,478:INFO:Preprocessing pipeline created successfully
  20286. 2022-02-07 13:01:30,479:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  20287. 2022-02-07 13:01:30,479:INFO:Creating global containers
  20288. 2022-02-07 13:01:30,481:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  20289. 2022-02-07 13:01:31,676:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20290. 2022-02-07 13:01:31,710:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20291. 2022-02-07 13:01:31,712:WARNING:Couldn't import cuml.MBSGDClassifier
  20292. 2022-02-07 13:01:31,712:WARNING:Couldn't import cuml.svm.SVC
  20293. 2022-02-07 13:01:31,732:WARNING:Couldn't import cuml.linear_model
  20294. 2022-02-07 13:01:31,736:WARNING:Couldn't import cuml.ensemble
  20295. 2022-02-07 13:01:31,901:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20296. 2022-02-07 13:01:31,962:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20297. 2022-02-07 13:01:31,963:WARNING:Couldn't import cuml.MBSGDClassifier
  20298. 2022-02-07 13:01:31,964:WARNING:Couldn't import cuml.svm.SVC
  20299. 2022-02-07 13:01:31,994:WARNING:Couldn't import cuml.linear_model
  20300. 2022-02-07 13:01:32,000:WARNING:Couldn't import cuml.ensemble
  20301. 2022-02-07 13:01:32,124:INFO:Creating grid variables
  20302. 2022-02-07 13:01:32,138:INFO:create_model_container: 0
  20303. 2022-02-07 13:01:32,138:INFO:master_model_container: 0
  20304. 2022-02-07 13:01:32,138:INFO:display_container: 1
  20305. 2022-02-07 13:01:32,144:INFO:Pipeline(memory=None,
  20306. steps=[('dtypes',
  20307. DataTypes_Auto_infer(categorical_features=[],
  20308. display_types=True, features_todrop=[],
  20309. id_columns=[],
  20310. ml_usecase='classification',
  20311. numerical_features=[], target='label',
  20312. time_features=[])),
  20313. ('imputer',
  20314. Simple_Imputer(categorical_strategy='not_available',
  20315. fill_value_categorical=None,
  20316. fill_value_numerical=None,
  20317. numeric_strate...
  20318. target='label')),
  20319. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20320. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20321. ('dummy', Dummify(target='label')),
  20322. ('fix_perfect', Remove_100(target='label')),
  20323. ('clean_names', Clean_Colum_Names()),
  20324. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20325. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20326. verbose=False)
  20327. 2022-02-07 13:01:32,144:INFO:setup() succesfully completed......................................
  20328. 2022-02-07 13:01:34,273:INFO:Initializing load_model()
  20329. 2022-02-07 13:01:34,273:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20330. 2022-02-07 13:01:37,451:INFO:Initializing evaluate_model()
  20331. 2022-02-07 13:01:37,451:INFO:evaluate_model(estimator=Pipeline(memory=None,
  20332. steps=[('dtypes',
  20333. DataTypes_Auto_infer(categorical_features=[],
  20334. display_types=True, features_todrop=[],
  20335. id_columns=[],
  20336. ml_usecase='classification',
  20337. numerical_features=[], target='label',
  20338. time_features=[])),
  20339. ('imputer',
  20340. Simple_Imputer(categorical_strategy='not_available',
  20341. fill_value_categorical=None,
  20342. fill_value_numerical=None,
  20343. numeric_strate...
  20344. max_delta_step=0, max_depth=64, max_leaves=1024,
  20345. min_child_weight=1, missing=nan,
  20346. monotone_constraints='()', n_estimators=100,
  20347. n_jobs=-1, num_parallel_tree=1,
  20348. objective='binary:logistic', predictor='auto',
  20349. random_state=1504, reg_alpha=0, reg_lambda=1,
  20350. scale_pos_weight=1, subsample=1,
  20351. tree_method='gpu_hist', use_label_encoder=True,
  20352. validate_parameters=1, ...)]],
  20353. verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  20354. 2022-02-07 13:01:37,471:INFO:Initializing plot_model()
  20355. 2022-02-07 13:01:37,471:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  20356. steps=[('dtypes',
  20357. DataTypes_Auto_infer(categorical_features=[],
  20358. display_types=True, features_todrop=[],
  20359. id_columns=[],
  20360. ml_usecase='classification',
  20361. numerical_features=[], target='label',
  20362. time_features=[])),
  20363. ('imputer',
  20364. Simple_Imputer(categorical_strategy='not_available',
  20365. fill_value_categorical=None,
  20366. fill_value_numerical=None,
  20367. numeric_strate...
  20368. max_delta_step=0, max_depth=64, max_leaves=1024,
  20369. min_child_weight=1, missing=nan,
  20370. monotone_constraints='()', n_estimators=100,
  20371. n_jobs=-1, num_parallel_tree=1,
  20372. objective='binary:logistic', predictor='auto',
  20373. random_state=1504, reg_alpha=0, reg_lambda=1,
  20374. scale_pos_weight=1, subsample=1,
  20375. tree_method='gpu_hist', use_label_encoder=True,
  20376. validate_parameters=1, ...)]],
  20377. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  20378. 2022-02-07 13:01:37,471:INFO:Checking exceptions
  20379. 2022-02-07 13:01:37,472:INFO:Preparing display monitor
  20380. 2022-02-07 13:01:37,476:INFO:Preloading libraries
  20381. 2022-02-07 13:01:37,798:INFO:Copying training dataset
  20382. 2022-02-07 13:01:37,800:INFO:Copying test dataset
  20383. 2022-02-07 13:01:37,800:INFO:Plot type: parameter
  20384. 2022-02-07 13:01:37,807:INFO:Visual Rendered Successfully
  20385. 2022-02-07 13:01:37,894:INFO:plot_model() succesfully completed......................................
  20386. 2022-02-07 13:01:43,401:INFO:Initializing plot_model()
  20387. 2022-02-07 13:01:43,401:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  20388. steps=[('dtypes',
  20389. DataTypes_Auto_infer(categorical_features=[],
  20390. display_types=True, features_todrop=[],
  20391. id_columns=[],
  20392. ml_usecase='classification',
  20393. numerical_features=[], target='label',
  20394. time_features=[])),
  20395. ('imputer',
  20396. Simple_Imputer(categorical_strategy='not_available',
  20397. fill_value_categorical=None,
  20398. fill_value_numerical=None,
  20399. numeric_strate...
  20400. max_delta_step=0, max_depth=64, max_leaves=1024,
  20401. min_child_weight=1, missing=nan,
  20402. monotone_constraints='()', n_estimators=100,
  20403. n_jobs=-1, num_parallel_tree=1,
  20404. objective='binary:logistic', predictor='auto',
  20405. random_state=1504, reg_alpha=0, reg_lambda=1,
  20406. scale_pos_weight=1, subsample=1,
  20407. tree_method='gpu_hist', use_label_encoder=True,
  20408. validate_parameters=1, ...)]],
  20409. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  20410. 2022-02-07 13:01:43,401:INFO:Checking exceptions
  20411. 2022-02-07 13:01:43,402:INFO:Preparing display monitor
  20412. 2022-02-07 13:01:43,406:INFO:Preloading libraries
  20413. 2022-02-07 13:01:43,727:INFO:Copying training dataset
  20414. 2022-02-07 13:01:43,728:INFO:Copying test dataset
  20415. 2022-02-07 13:01:43,728:INFO:Plot type: confusion_matrix
  20416. 2022-02-07 13:01:43,730:INFO:Initializing get_config()
  20417. 2022-02-07 13:01:43,731:INFO:get_config(variable=prep_pipe)
  20418. 2022-02-07 13:01:43,734:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20419. steps=[('dtypes',
  20420. DataTypes_Auto_infer(categorical_features=[],
  20421. display_types=True, features_todrop=[],
  20422. id_columns=[],
  20423. ml_usecase='classification',
  20424. numerical_features=[], target='label',
  20425. time_features=[])),
  20426. ('imputer',
  20427. Simple_Imputer(categorical_strategy='not_available',
  20428. fill_value_categorical=None,
  20429. fill_value_numerical=None,
  20430. numeric_strate...
  20431. target='label')),
  20432. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20433. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20434. ('dummy', Dummify(target='label')),
  20435. ('fix_perfect', Remove_100(target='label')),
  20436. ('clean_names', Clean_Colum_Names()),
  20437. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20438. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20439. verbose=False)
  20440. 2022-02-07 13:01:43,734:INFO:get_config() succesfully completed......................................
  20441. 2022-02-07 13:01:43,746:INFO:Fitting Model
  20442. 2022-02-07 13:02:39,038:INFO:PyCaret Supervised Module
  20443. 2022-02-07 13:02:39,038:INFO:ML Usecase: classification
  20444. 2022-02-07 13:02:39,038:INFO:version 2.3.6
  20445. 2022-02-07 13:02:39,038:INFO:Initializing setup()
  20446. 2022-02-07 13:02:39,038:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  20447. 2022-02-07 13:02:39,038:INFO:Checking environment
  20448. 2022-02-07 13:02:39,038:INFO:python_version: 3.8.12
  20449. 2022-02-07 13:02:39,038:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  20450. 2022-02-07 13:02:39,038:INFO:machine: AMD64
  20451. 2022-02-07 13:02:39,038:INFO:platform: Windows-10-10.0.22000-SP0
  20452. 2022-02-07 13:02:39,038:INFO:Memory: svmem(total=68629372928, available=52405063680, percent=23.6, used=16224309248, free=52405063680)
  20453. 2022-02-07 13:02:39,038:INFO:Physical Core: 16
  20454. 2022-02-07 13:02:39,039:INFO:Logical Core: 32
  20455. 2022-02-07 13:02:39,039:INFO:Checking libraries
  20456. 2022-02-07 13:02:39,039:INFO:pd==1.3.5
  20457. 2022-02-07 13:02:39,039:INFO:numpy==1.21.5
  20458. 2022-02-07 13:02:39,039:INFO:sklearn==0.23.2
  20459. 2022-02-07 13:02:39,039:INFO:lightgbm==3.3.2
  20460. 2022-02-07 13:02:39,049:INFO:catboost==1.0.4
  20461. 2022-02-07 13:02:39,138:INFO:xgboost==1.5.2
  20462. 2022-02-07 13:02:39,417:INFO:mlflow==1.23.1
  20463. 2022-02-07 13:02:39,417:INFO:Checking Exceptions
  20464. 2022-02-07 13:02:39,418:INFO:Declaring global variables
  20465. 2022-02-07 13:02:39,418:INFO:USI: 8c64
  20466. 2022-02-07 13:02:39,418:INFO:pycaret_globals: {'master_model_container', '_all_models', '_all_metrics', 'X_train', '_ml_usecase', 'stratify_param', 'experiment__', 'USI', 'X_test', 'pycaret_globals', 'create_model_container', '_all_models_internal', 'html_param', 'seed', 'n_jobs_param', 'display_container', 'exp_name_log', 'logging_param', 'transform_target_param', 'target_param', 'iterative_imputation_iters_param', 'y_test', '_gpu_n_jobs_param', 'fix_imbalance_param', '_available_plots', '_internal_pipeline', 'transform_target_method_param', 'X', 'fix_imbalance_method_param', 'imputation_regressor', 'fold_generator', 'gpu_param', 'fold_shuffle_param', 'data_before_preprocess', 'fold_param', 'log_plots_param', 'fold_groups_param', 'y_train', 'fold_groups_param_full', 'imputation_classifier', 'y', 'prep_pipe'}
  20467. 2022-02-07 13:02:39,418:INFO:Preparing display monitor
  20468. 2022-02-07 13:02:39,418:INFO:Preparing display monitor
  20469. 2022-02-07 13:02:39,428:INFO:Importing libraries
  20470. 2022-02-07 13:02:39,428:INFO:Copying data for preprocessing
  20471. 2022-02-07 13:02:39,434:INFO:Declaring preprocessing parameters
  20472. 2022-02-07 13:02:39,435:WARNING:cuML not found
  20473. 2022-02-07 13:02:39,435:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  20474. 2022-02-07 13:02:39,438:INFO:Creating preprocessing pipeline
  20475. 2022-02-07 13:02:39,490:INFO:Preprocessing pipeline created successfully
  20476. 2022-02-07 13:02:39,490:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  20477. 2022-02-07 13:02:39,490:INFO:Creating global containers
  20478. 2022-02-07 13:02:39,492:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  20479. 2022-02-07 13:02:41,586:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20480. 2022-02-07 13:02:41,619:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20481. 2022-02-07 13:02:41,621:WARNING:Couldn't import cuml.MBSGDClassifier
  20482. 2022-02-07 13:02:41,622:WARNING:Couldn't import cuml.svm.SVC
  20483. 2022-02-07 13:02:41,642:WARNING:Couldn't import cuml.linear_model
  20484. 2022-02-07 13:02:41,646:WARNING:Couldn't import cuml.ensemble
  20485. 2022-02-07 13:02:41,811:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20486. 2022-02-07 13:02:41,870:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20487. 2022-02-07 13:02:41,870:WARNING:Couldn't import cuml.MBSGDClassifier
  20488. 2022-02-07 13:02:41,872:WARNING:Couldn't import cuml.svm.SVC
  20489. 2022-02-07 13:02:41,902:WARNING:Couldn't import cuml.linear_model
  20490. 2022-02-07 13:02:41,906:WARNING:Couldn't import cuml.ensemble
  20491. 2022-02-07 13:02:42,029:INFO:Creating grid variables
  20492. 2022-02-07 13:02:42,042:INFO:create_model_container: 0
  20493. 2022-02-07 13:02:42,042:INFO:master_model_container: 0
  20494. 2022-02-07 13:02:42,042:INFO:display_container: 1
  20495. 2022-02-07 13:02:42,048:INFO:Pipeline(memory=None,
  20496. steps=[('dtypes',
  20497. DataTypes_Auto_infer(categorical_features=[],
  20498. display_types=True, features_todrop=[],
  20499. id_columns=[],
  20500. ml_usecase='classification',
  20501. numerical_features=[], target='label',
  20502. time_features=[])),
  20503. ('imputer',
  20504. Simple_Imputer(categorical_strategy='not_available',
  20505. fill_value_categorical=None,
  20506. fill_value_numerical=None,
  20507. numeric_strate...
  20508. target='label')),
  20509. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20510. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20511. ('dummy', Dummify(target='label')),
  20512. ('fix_perfect', Remove_100(target='label')),
  20513. ('clean_names', Clean_Colum_Names()),
  20514. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20515. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20516. verbose=False)
  20517. 2022-02-07 13:02:42,048:INFO:setup() succesfully completed......................................
  20518. 2022-02-07 13:02:44,391:INFO:Initializing load_model()
  20519. 2022-02-07 13:02:44,392:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20520. 2022-02-07 13:02:52,323:INFO:Initializing plot_model()
  20521. 2022-02-07 13:02:52,323:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=Pipeline(memory=None,
  20522. steps=[('dtypes',
  20523. DataTypes_Auto_infer(categorical_features=[],
  20524. display_types=True, features_todrop=[],
  20525. id_columns=[],
  20526. ml_usecase='classification',
  20527. numerical_features=[], target='label',
  20528. time_features=[])),
  20529. ('imputer',
  20530. Simple_Imputer(categorical_strategy='not_available',
  20531. fill_value_categorical=None,
  20532. fill_value_numerical=None,
  20533. numeric_strate...
  20534. max_delta_step=0, max_depth=64, max_leaves=1024,
  20535. min_child_weight=1, missing=nan,
  20536. monotone_constraints='()', n_estimators=100,
  20537. n_jobs=-1, num_parallel_tree=1,
  20538. objective='binary:logistic', predictor='auto',
  20539. random_state=1504, reg_alpha=0, reg_lambda=1,
  20540. scale_pos_weight=1, subsample=1,
  20541. tree_method='gpu_hist', use_label_encoder=True,
  20542. validate_parameters=1, ...)]],
  20543. verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  20544. 2022-02-07 13:02:52,323:INFO:Checking exceptions
  20545. 2022-02-07 13:02:52,324:INFO:Preparing display monitor
  20546. 2022-02-07 13:02:52,328:INFO:Preloading libraries
  20547. 2022-02-07 13:02:52,650:INFO:Copying training dataset
  20548. 2022-02-07 13:02:52,651:INFO:Copying test dataset
  20549. 2022-02-07 13:02:52,652:INFO:Plot type: auc
  20550. 2022-02-07 13:02:52,654:INFO:Initializing get_config()
  20551. 2022-02-07 13:02:52,654:INFO:get_config(variable=prep_pipe)
  20552. 2022-02-07 13:02:52,657:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20553. steps=[('dtypes',
  20554. DataTypes_Auto_infer(categorical_features=[],
  20555. display_types=True, features_todrop=[],
  20556. id_columns=[],
  20557. ml_usecase='classification',
  20558. numerical_features=[], target='label',
  20559. time_features=[])),
  20560. ('imputer',
  20561. Simple_Imputer(categorical_strategy='not_available',
  20562. fill_value_categorical=None,
  20563. fill_value_numerical=None,
  20564. numeric_strate...
  20565. target='label')),
  20566. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20567. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20568. ('dummy', Dummify(target='label')),
  20569. ('fix_perfect', Remove_100(target='label')),
  20570. ('clean_names', Clean_Colum_Names()),
  20571. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20572. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20573. verbose=False)
  20574. 2022-02-07 13:02:52,657:INFO:get_config() succesfully completed......................................
  20575. 2022-02-07 13:02:52,669:INFO:Fitting Model
  20576. 2022-02-07 13:04:02,747:INFO:Initializing plot_model()
  20577. 2022-02-07 13:04:02,747:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20578. colsample_bynode=1, colsample_bytree=0.6,
  20579. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20580. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20581. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20582. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20583. num_parallel_tree=1, objective='binary:logistic',
  20584. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20585. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20586. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  20587. 2022-02-07 13:04:02,747:INFO:Checking exceptions
  20588. 2022-02-07 13:04:02,751:INFO:Preparing display monitor
  20589. 2022-02-07 13:04:02,755:INFO:Preloading libraries
  20590. 2022-02-07 13:04:03,050:INFO:Copying training dataset
  20591. 2022-02-07 13:04:03,051:INFO:Copying test dataset
  20592. 2022-02-07 13:04:03,052:INFO:Plot type: parameter
  20593. 2022-02-07 13:04:03,062:INFO:Visual Rendered Successfully
  20594. 2022-02-07 13:04:03,198:INFO:plot_model() succesfully completed......................................
  20595. 2022-02-07 13:04:36,782:INFO:Initializing predict_model()
  20596. 2022-02-07 13:04:36,782:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20597. colsample_bynode=1, colsample_bytree=0.6,
  20598. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20599. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20600. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20601. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20602. num_parallel_tree=1, objective='binary:logistic',
  20603. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20604. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20605. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20606. 2022-02-07 13:04:36,782:INFO:Checking exceptions
  20607. 2022-02-07 13:04:36,782:INFO:Preloading libraries
  20608. 2022-02-07 13:04:36,782:INFO:Preparing display monitor
  20609. 2022-02-07 13:06:05,079:INFO:Initializing finalize_model()
  20610. 2022-02-07 13:06:05,080:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20611. colsample_bynode=1, colsample_bytree=0.6,
  20612. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20613. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20614. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20615. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20616. num_parallel_tree=1, objective='binary:logistic',
  20617. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20618. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20619. use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
  20620. 2022-02-07 13:06:05,081:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20621. colsample_bynode=1, colsample_bytree=0.6,
  20622. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20623. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20624. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20625. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20626. num_parallel_tree=1, objective='binary:logistic',
  20627. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20628. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20629. use_label_encoder=True, validate_parameters=1, ...)
  20630. 2022-02-07 13:06:05,082:INFO:Initializing create_model()
  20631. 2022-02-07 13:06:05,082:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20632. colsample_bynode=1, colsample_bytree=0.6,
  20633. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20634. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20635. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20636. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20637. num_parallel_tree=1, objective='binary:logistic',
  20638. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20639. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20640. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=False, probability_threshold=None, display=None, kwargs={})
  20641. 2022-02-07 13:06:05,082:INFO:Checking exceptions
  20642. 2022-02-07 13:06:05,082:INFO:Importing libraries
  20643. 2022-02-07 13:06:05,082:INFO:Copying training dataset
  20644. 2022-02-07 13:06:05,084:INFO:Defining folds
  20645. 2022-02-07 13:06:05,084:INFO:Declaring metric variables
  20646. 2022-02-07 13:06:05,084:INFO:Importing untrained model
  20647. 2022-02-07 13:06:05,084:INFO:Declaring custom model
  20648. 2022-02-07 13:06:05,085:INFO:Extreme Gradient Boosting Imported succesfully
  20649. 2022-02-07 13:06:05,085:INFO:Starting cross validation
  20650. 2022-02-07 13:06:05,086:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  20651. 2022-02-07 13:08:16,281:INFO:Calculating mean and std
  20652. 2022-02-07 13:08:16,281:INFO:Creating metrics dataframe
  20653. 2022-02-07 13:08:16,284:INFO:Finalizing model
  20654. 2022-02-07 13:08:30,142:INFO:create_model_container: 3
  20655. 2022-02-07 13:08:30,142:INFO:master_model_container: 3
  20656. 2022-02-07 13:08:30,142:INFO:display_container: 6
  20657. 2022-02-07 13:08:30,143:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20658. colsample_bynode=1, colsample_bytree=0.6,
  20659. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20660. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20661. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20662. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20663. num_parallel_tree=1, objective='binary:logistic',
  20664. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20665. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20666. use_label_encoder=True, validate_parameters=1, ...)
  20667. 2022-02-07 13:08:30,143:INFO:create_model() succesfully completed......................................
  20668. 2022-02-07 13:08:30,275:INFO:create_model_container: 3
  20669. 2022-02-07 13:08:30,276:INFO:master_model_container: 3
  20670. 2022-02-07 13:08:30,276:INFO:display_container: 5
  20671. 2022-02-07 13:08:30,277:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20672. colsample_bynode=1, colsample_bytree=0.6,
  20673. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20674. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20675. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20676. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20677. num_parallel_tree=1, objective='binary:logistic',
  20678. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20679. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20680. use_label_encoder=True, validate_parameters=1, ...)
  20681. 2022-02-07 13:08:30,277:INFO:finalize_model() succesfully completed......................................
  20682. 2022-02-07 13:08:30,415:INFO:Initializing predict_model()
  20683. 2022-02-07 13:08:30,415:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20684. colsample_bynode=1, colsample_bytree=0.6,
  20685. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20686. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20687. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20688. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20689. num_parallel_tree=1, objective='binary:logistic',
  20690. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20691. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20692. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20693. 2022-02-07 13:08:30,415:INFO:Checking exceptions
  20694. 2022-02-07 13:08:30,415:INFO:Preloading libraries
  20695. 2022-02-07 13:08:30,415:INFO:Preparing display monitor
  20696. 2022-02-07 13:20:36,220:INFO:Initializing predict_model()
  20697. 2022-02-07 13:20:36,220:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20698. colsample_bynode=1, colsample_bytree=0.6,
  20699. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20700. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20701. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20702. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20703. num_parallel_tree=1, objective='binary:logistic',
  20704. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20705. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20706. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20707. 2022-02-07 13:20:36,220:INFO:Checking exceptions
  20708. 2022-02-07 13:20:36,220:INFO:Preloading libraries
  20709. 2022-02-07 13:20:36,220:INFO:Preparing display monitor
  20710. 2022-02-07 13:20:48,036:INFO:Initializing predict_model()
  20711. 2022-02-07 13:20:48,036:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20712. colsample_bynode=1, colsample_bytree=0.6,
  20713. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20714. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20715. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20716. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20717. num_parallel_tree=1, objective='binary:logistic',
  20718. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20719. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20720. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20721. 2022-02-07 13:20:48,036:INFO:Checking exceptions
  20722. 2022-02-07 13:20:48,036:INFO:Preloading libraries
  20723. 2022-02-07 13:20:48,036:INFO:Preparing display monitor
  20724. 2022-02-07 13:21:08,950:INFO:Initializing predict_model()
  20725. 2022-02-07 13:21:08,951:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20726. colsample_bynode=1, colsample_bytree=0.6,
  20727. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20728. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20729. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20730. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20731. num_parallel_tree=1, objective='binary:logistic',
  20732. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20733. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20734. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20735. 2022-02-07 13:21:08,951:INFO:Checking exceptions
  20736. 2022-02-07 13:21:08,951:INFO:Preloading libraries
  20737. 2022-02-07 13:21:08,951:INFO:Preparing display monitor
  20738. 2022-02-07 13:21:19,375:INFO:Initializing predict_model()
  20739. 2022-02-07 13:21:19,375:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20740. colsample_bynode=1, colsample_bytree=0.6,
  20741. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20742. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20743. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20744. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20745. num_parallel_tree=1, objective='binary:logistic',
  20746. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20747. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20748. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  20749. 2022-02-07 13:21:19,375:INFO:Checking exceptions
  20750. 2022-02-07 13:21:19,375:INFO:Preloading libraries
  20751. 2022-02-07 13:21:19,375:INFO:Preparing display monitor
  20752. 2022-02-07 13:21:43,616:INFO:Initializing save_model()
  20753. 2022-02-07 13:21:43,616:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  20754. colsample_bynode=1, colsample_bytree=0.6,
  20755. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  20756. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  20757. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  20758. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  20759. num_parallel_tree=1, objective='binary:logistic',
  20760. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  20761. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  20762. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
  20763. steps=[('dtypes',
  20764. DataTypes_Auto_infer(categorical_features=[],
  20765. display_types=True, features_todrop=[],
  20766. id_columns=[],
  20767. ml_usecase='classification',
  20768. numerical_features=[], target='label',
  20769. time_features=[])),
  20770. ('imputer',
  20771. Simple_Imputer(categorical_strategy='not_available',
  20772. fill_value_categorical=None,
  20773. fill_value_numerical=None,
  20774. numeric_strate...
  20775. target='label')),
  20776. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20777. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20778. ('dummy', Dummify(target='label')),
  20779. ('fix_perfect', Remove_100(target='label')),
  20780. ('clean_names', Clean_Colum_Names()),
  20781. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20782. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20783. verbose=False), verbose=True, kwargs={})
  20784. 2022-02-07 13:21:43,616:INFO:Adding model into prep_pipe
  20785. 2022-02-07 13:21:43,870:INFO:tuned_xgboost_0207.pkl saved in current working directory
  20786. 2022-02-07 13:21:43,877:INFO:Pipeline(memory=None,
  20787. steps=[('dtypes',
  20788. DataTypes_Auto_infer(categorical_features=[],
  20789. display_types=True, features_todrop=[],
  20790. id_columns=[],
  20791. ml_usecase='classification',
  20792. numerical_features=[], target='label',
  20793. time_features=[])),
  20794. ('imputer',
  20795. Simple_Imputer(categorical_strategy='not_available',
  20796. fill_value_categorical=None,
  20797. fill_value_numerical=None,
  20798. numeric_strate...
  20799. max_delta_step=0, max_depth=64, max_leaves=1024,
  20800. min_child_weight=1, missing=nan,
  20801. monotone_constraints='()', n_estimators=100,
  20802. n_jobs=-1, num_parallel_tree=1,
  20803. objective='binary:logistic', predictor='auto',
  20804. random_state=1504, reg_alpha=0, reg_lambda=1,
  20805. scale_pos_weight=1, subsample=1,
  20806. tree_method='gpu_hist', use_label_encoder=True,
  20807. validate_parameters=1, ...)]],
  20808. verbose=False)
  20809. 2022-02-07 13:21:43,877:INFO:save_model() successfully completed......................................
  20810. 2022-02-07 13:22:16,465:INFO:Initializing load_model()
  20811. 2022-02-07 13:22:16,465:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20812. 2022-02-07 13:22:20,404:INFO:Initializing plot_model()
  20813. 2022-02-07 13:22:20,404:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=Pipeline(memory=None,
  20814. steps=[('dtypes',
  20815. DataTypes_Auto_infer(categorical_features=[],
  20816. display_types=True, features_todrop=[],
  20817. id_columns=[],
  20818. ml_usecase='classification',
  20819. numerical_features=[], target='label',
  20820. time_features=[])),
  20821. ('imputer',
  20822. Simple_Imputer(categorical_strategy='not_available',
  20823. fill_value_categorical=None,
  20824. fill_value_numerical=None,
  20825. numeric_strate...
  20826. max_delta_step=0, max_depth=64, max_leaves=1024,
  20827. min_child_weight=1, missing=nan,
  20828. monotone_constraints='()', n_estimators=100,
  20829. n_jobs=-1, num_parallel_tree=1,
  20830. objective='binary:logistic', predictor='auto',
  20831. random_state=1504, reg_alpha=0, reg_lambda=1,
  20832. scale_pos_weight=1, subsample=1,
  20833. tree_method='gpu_hist', use_label_encoder=True,
  20834. validate_parameters=1, ...)]],
  20835. verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  20836. 2022-02-07 13:22:20,404:INFO:Checking exceptions
  20837. 2022-02-07 13:22:20,404:INFO:Preparing display monitor
  20838. 2022-02-07 13:22:20,408:INFO:Preloading libraries
  20839. 2022-02-07 13:22:20,827:INFO:Copying training dataset
  20840. 2022-02-07 13:22:20,828:INFO:Copying test dataset
  20841. 2022-02-07 13:22:20,829:INFO:Plot type: auc
  20842. 2022-02-07 13:22:20,831:INFO:Initializing get_config()
  20843. 2022-02-07 13:22:20,831:INFO:get_config(variable=prep_pipe)
  20844. 2022-02-07 13:22:20,834:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20845. steps=[('dtypes',
  20846. DataTypes_Auto_infer(categorical_features=[],
  20847. display_types=True, features_todrop=[],
  20848. id_columns=[],
  20849. ml_usecase='classification',
  20850. numerical_features=[], target='label',
  20851. time_features=[])),
  20852. ('imputer',
  20853. Simple_Imputer(categorical_strategy='not_available',
  20854. fill_value_categorical=None,
  20855. fill_value_numerical=None,
  20856. numeric_strate...
  20857. target='label')),
  20858. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20859. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20860. ('dummy', Dummify(target='label')),
  20861. ('fix_perfect', Remove_100(target='label')),
  20862. ('clean_names', Clean_Colum_Names()),
  20863. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20864. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20865. verbose=False)
  20866. 2022-02-07 13:22:20,834:INFO:get_config() succesfully completed......................................
  20867. 2022-02-07 13:22:20,843:INFO:Fitting Model
  20868. 2022-02-07 13:22:40,008:INFO:Initializing load_model()
  20869. 2022-02-07 13:22:40,008:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  20870. 2022-02-07 13:22:42,819:INFO:Initializing plot_model()
  20871. 2022-02-07 13:22:42,819:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=Pipeline(memory=None,
  20872. steps=[('dtypes',
  20873. DataTypes_Auto_infer(categorical_features=[],
  20874. display_types=True, features_todrop=[],
  20875. id_columns=[],
  20876. ml_usecase='classification',
  20877. numerical_features=[], target='label',
  20878. time_features=[])),
  20879. ('imputer',
  20880. Simple_Imputer(categorical_strategy='not_available',
  20881. fill_value_categorical=None,
  20882. fill_value_numerical=None,
  20883. numeric_strate...
  20884. max_delta_step=0, max_depth=64, max_leaves=1024,
  20885. min_child_weight=1, missing=nan,
  20886. monotone_constraints='()', n_estimators=100,
  20887. n_jobs=-1, num_parallel_tree=1,
  20888. objective='binary:logistic', predictor='auto',
  20889. random_state=1504, reg_alpha=0, reg_lambda=1,
  20890. scale_pos_weight=1, subsample=1,
  20891. tree_method='gpu_hist', use_label_encoder=True,
  20892. validate_parameters=1, ...)]],
  20893. verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  20894. 2022-02-07 13:22:42,819:INFO:Checking exceptions
  20895. 2022-02-07 13:22:42,820:INFO:Preparing display monitor
  20896. 2022-02-07 13:22:42,824:INFO:Preloading libraries
  20897. 2022-02-07 13:22:43,243:INFO:Copying training dataset
  20898. 2022-02-07 13:22:43,245:INFO:Copying test dataset
  20899. 2022-02-07 13:22:43,245:INFO:Plot type: auc
  20900. 2022-02-07 13:22:43,247:INFO:Initializing get_config()
  20901. 2022-02-07 13:22:43,247:INFO:get_config(variable=prep_pipe)
  20902. 2022-02-07 13:22:43,250:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  20903. steps=[('dtypes',
  20904. DataTypes_Auto_infer(categorical_features=[],
  20905. display_types=True, features_todrop=[],
  20906. id_columns=[],
  20907. ml_usecase='classification',
  20908. numerical_features=[], target='label',
  20909. time_features=[])),
  20910. ('imputer',
  20911. Simple_Imputer(categorical_strategy='not_available',
  20912. fill_value_categorical=None,
  20913. fill_value_numerical=None,
  20914. numeric_strate...
  20915. target='label')),
  20916. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20917. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20918. ('dummy', Dummify(target='label')),
  20919. ('fix_perfect', Remove_100(target='label')),
  20920. ('clean_names', Clean_Colum_Names()),
  20921. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20922. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  20923. verbose=False)
  20924. 2022-02-07 13:22:43,250:INFO:get_config() succesfully completed......................................
  20925. 2022-02-07 13:22:43,259:INFO:Fitting Model
  20926. 2022-02-07 13:25:13,172:INFO:PyCaret Supervised Module
  20927. 2022-02-07 13:25:13,172:INFO:ML Usecase: classification
  20928. 2022-02-07 13:25:13,172:INFO:version 2.3.6
  20929. 2022-02-07 13:25:13,172:INFO:Initializing setup()
  20930. 2022-02-07 13:25:13,172:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  20931. 2022-02-07 13:25:13,172:INFO:Checking environment
  20932. 2022-02-07 13:25:13,172:INFO:python_version: 3.8.12
  20933. 2022-02-07 13:25:13,172:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  20934. 2022-02-07 13:25:13,172:INFO:machine: AMD64
  20935. 2022-02-07 13:25:13,172:INFO:platform: Windows-10-10.0.22000-SP0
  20936. 2022-02-07 13:25:13,172:INFO:Memory: svmem(total=68629372928, available=51734814720, percent=24.6, used=16894558208, free=51734814720)
  20937. 2022-02-07 13:25:13,173:INFO:Physical Core: 16
  20938. 2022-02-07 13:25:13,173:INFO:Logical Core: 32
  20939. 2022-02-07 13:25:13,173:INFO:Checking libraries
  20940. 2022-02-07 13:25:13,173:INFO:pd==1.3.5
  20941. 2022-02-07 13:25:13,173:INFO:numpy==1.21.5
  20942. 2022-02-07 13:25:13,173:INFO:sklearn==0.23.2
  20943. 2022-02-07 13:25:13,173:INFO:lightgbm==3.3.2
  20944. 2022-02-07 13:25:13,173:INFO:catboost==1.0.4
  20945. 2022-02-07 13:25:13,173:INFO:xgboost==1.5.2
  20946. 2022-02-07 13:25:13,173:INFO:mlflow==1.23.1
  20947. 2022-02-07 13:25:13,173:INFO:Checking Exceptions
  20948. 2022-02-07 13:25:13,173:INFO:Declaring global variables
  20949. 2022-02-07 13:25:13,173:INFO:USI: dcd1
  20950. 2022-02-07 13:25:13,173:INFO:pycaret_globals: {'master_model_container', '_all_models', '_all_metrics', 'X_train', '_ml_usecase', 'stratify_param', 'experiment__', 'USI', 'X_test', 'pycaret_globals', 'create_model_container', '_all_models_internal', 'html_param', 'seed', 'n_jobs_param', 'display_container', 'exp_name_log', 'logging_param', 'transform_target_param', 'target_param', 'iterative_imputation_iters_param', 'y_test', '_gpu_n_jobs_param', 'fix_imbalance_param', '_available_plots', '_internal_pipeline', 'transform_target_method_param', 'X', 'fix_imbalance_method_param', 'imputation_regressor', 'fold_generator', 'gpu_param', 'fold_shuffle_param', 'data_before_preprocess', 'fold_param', 'log_plots_param', 'fold_groups_param', 'y_train', 'fold_groups_param_full', 'imputation_classifier', 'y', 'prep_pipe'}
  20951. 2022-02-07 13:25:13,173:INFO:Preparing display monitor
  20952. 2022-02-07 13:25:13,173:INFO:Preparing display monitor
  20953. 2022-02-07 13:25:13,180:INFO:Importing libraries
  20954. 2022-02-07 13:25:13,181:INFO:Copying data for preprocessing
  20955. 2022-02-07 13:25:13,186:INFO:Declaring preprocessing parameters
  20956. 2022-02-07 13:25:13,187:WARNING:cuML not found
  20957. 2022-02-07 13:25:13,187:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  20958. 2022-02-07 13:25:13,191:INFO:Creating preprocessing pipeline
  20959. 2022-02-07 13:25:13,244:INFO:Preprocessing pipeline created successfully
  20960. 2022-02-07 13:25:13,244:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  20961. 2022-02-07 13:25:13,244:INFO:Creating global containers
  20962. 2022-02-07 13:25:13,244:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  20963. 2022-02-07 13:25:15,939:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20964. 2022-02-07 13:25:15,973:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20965. 2022-02-07 13:25:15,973:WARNING:Couldn't import cuml.MBSGDClassifier
  20966. 2022-02-07 13:25:15,974:WARNING:Couldn't import cuml.svm.SVC
  20967. 2022-02-07 13:25:15,991:WARNING:Couldn't import cuml.linear_model
  20968. 2022-02-07 13:25:15,995:WARNING:Couldn't import cuml.ensemble
  20969. 2022-02-07 13:25:16,151:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  20970. 2022-02-07 13:25:16,209:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  20971. 2022-02-07 13:25:16,210:WARNING:Couldn't import cuml.MBSGDClassifier
  20972. 2022-02-07 13:25:16,212:WARNING:Couldn't import cuml.svm.SVC
  20973. 2022-02-07 13:25:16,244:WARNING:Couldn't import cuml.linear_model
  20974. 2022-02-07 13:25:16,250:WARNING:Couldn't import cuml.ensemble
  20975. 2022-02-07 13:25:16,400:INFO:Creating grid variables
  20976. 2022-02-07 13:25:16,414:INFO:create_model_container: 0
  20977. 2022-02-07 13:25:16,414:INFO:master_model_container: 0
  20978. 2022-02-07 13:25:16,414:INFO:display_container: 1
  20979. 2022-02-07 13:25:16,419:INFO:Pipeline(memory=None,
  20980. steps=[('dtypes',
  20981. DataTypes_Auto_infer(categorical_features=[],
  20982. display_types=True, features_todrop=[],
  20983. id_columns=[],
  20984. ml_usecase='classification',
  20985. numerical_features=[], target='label',
  20986. time_features=[])),
  20987. ('imputer',
  20988. Simple_Imputer(categorical_strategy='not_available',
  20989. fill_value_categorical=None,
  20990. fill_value_numerical=None,
  20991. numeric_strate...
  20992. target='label')),
  20993. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  20994. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  20995. ('dummy', Dummify(target='label')),
  20996. ('fix_perfect', Remove_100(target='label')),
  20997. ('clean_names', Clean_Colum_Names()),
  20998. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  20999. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21000. verbose=False)
  21001. 2022-02-07 13:25:16,420:INFO:setup() succesfully completed......................................
  21002. 2022-02-07 13:25:18,279:INFO:Initializing load_model()
  21003. 2022-02-07 13:25:18,279:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  21004. 2022-02-07 13:25:22,638:INFO:Initializing plot_model()
  21005. 2022-02-07 13:25:22,638:INFO:plot_model(fold=None, use_train_data=False, verbose=True, is_in_evaluate=False, display=None, display_format=None, estimator=Pipeline(memory=None,
  21006. steps=[('dtypes',
  21007. DataTypes_Auto_infer(categorical_features=[],
  21008. display_types=True, features_todrop=[],
  21009. id_columns=[],
  21010. ml_usecase='classification',
  21011. numerical_features=[], target='label',
  21012. time_features=[])),
  21013. ('imputer',
  21014. Simple_Imputer(categorical_strategy='not_available',
  21015. fill_value_categorical=None,
  21016. fill_value_numerical=None,
  21017. numeric_strate...
  21018. max_delta_step=0, max_depth=64, max_leaves=1024,
  21019. min_child_weight=1, missing=nan,
  21020. monotone_constraints='()', n_estimators=100,
  21021. n_jobs=-1, num_parallel_tree=1,
  21022. objective='binary:logistic', predictor='auto',
  21023. random_state=1504, reg_alpha=0, reg_lambda=1,
  21024. scale_pos_weight=1, subsample=1,
  21025. tree_method='gpu_hist', use_label_encoder=True,
  21026. validate_parameters=1, ...)]],
  21027. verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
  21028. 2022-02-07 13:25:22,638:INFO:Checking exceptions
  21029. 2022-02-07 13:25:22,638:INFO:Preparing display monitor
  21030. 2022-02-07 13:25:22,642:INFO:Preloading libraries
  21031. 2022-02-07 13:25:23,058:INFO:Copying training dataset
  21032. 2022-02-07 13:25:23,059:INFO:Copying test dataset
  21033. 2022-02-07 13:25:23,059:INFO:Plot type: auc
  21034. 2022-02-07 13:25:23,061:INFO:Initializing get_config()
  21035. 2022-02-07 13:25:23,061:INFO:get_config(variable=prep_pipe)
  21036. 2022-02-07 13:25:23,064:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21037. steps=[('dtypes',
  21038. DataTypes_Auto_infer(categorical_features=[],
  21039. display_types=True, features_todrop=[],
  21040. id_columns=[],
  21041. ml_usecase='classification',
  21042. numerical_features=[], target='label',
  21043. time_features=[])),
  21044. ('imputer',
  21045. Simple_Imputer(categorical_strategy='not_available',
  21046. fill_value_categorical=None,
  21047. fill_value_numerical=None,
  21048. numeric_strate...
  21049. target='label')),
  21050. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21051. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21052. ('dummy', Dummify(target='label')),
  21053. ('fix_perfect', Remove_100(target='label')),
  21054. ('clean_names', Clean_Colum_Names()),
  21055. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21056. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21057. verbose=False)
  21058. 2022-02-07 13:25:23,064:INFO:get_config() succesfully completed......................................
  21059. 2022-02-07 13:25:23,073:INFO:Fitting Model
  21060. 2022-02-07 13:25:50,593:INFO:Initializing evaluate_model()
  21061. 2022-02-07 13:25:50,594:INFO:evaluate_model(estimator=Pipeline(memory=None,
  21062. steps=[('dtypes',
  21063. DataTypes_Auto_infer(categorical_features=[],
  21064. display_types=True, features_todrop=[],
  21065. id_columns=[],
  21066. ml_usecase='classification',
  21067. numerical_features=[], target='label',
  21068. time_features=[])),
  21069. ('imputer',
  21070. Simple_Imputer(categorical_strategy='not_available',
  21071. fill_value_categorical=None,
  21072. fill_value_numerical=None,
  21073. numeric_strate...
  21074. max_delta_step=0, max_depth=64, max_leaves=1024,
  21075. min_child_weight=1, missing=nan,
  21076. monotone_constraints='()', n_estimators=100,
  21077. n_jobs=-1, num_parallel_tree=1,
  21078. objective='binary:logistic', predictor='auto',
  21079. random_state=1504, reg_alpha=0, reg_lambda=1,
  21080. scale_pos_weight=1, subsample=1,
  21081. tree_method='gpu_hist', use_label_encoder=True,
  21082. validate_parameters=1, ...)]],
  21083. verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  21084. 2022-02-07 13:25:50,613:INFO:Initializing plot_model()
  21085. 2022-02-07 13:25:50,613:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  21086. steps=[('dtypes',
  21087. DataTypes_Auto_infer(categorical_features=[],
  21088. display_types=True, features_todrop=[],
  21089. id_columns=[],
  21090. ml_usecase='classification',
  21091. numerical_features=[], target='label',
  21092. time_features=[])),
  21093. ('imputer',
  21094. Simple_Imputer(categorical_strategy='not_available',
  21095. fill_value_categorical=None,
  21096. fill_value_numerical=None,
  21097. numeric_strate...
  21098. max_delta_step=0, max_depth=64, max_leaves=1024,
  21099. min_child_weight=1, missing=nan,
  21100. monotone_constraints='()', n_estimators=100,
  21101. n_jobs=-1, num_parallel_tree=1,
  21102. objective='binary:logistic', predictor='auto',
  21103. random_state=1504, reg_alpha=0, reg_lambda=1,
  21104. scale_pos_weight=1, subsample=1,
  21105. tree_method='gpu_hist', use_label_encoder=True,
  21106. validate_parameters=1, ...)]],
  21107. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  21108. 2022-02-07 13:25:50,613:INFO:Checking exceptions
  21109. 2022-02-07 13:25:50,614:INFO:Preparing display monitor
  21110. 2022-02-07 13:25:50,618:INFO:Preloading libraries
  21111. 2022-02-07 13:25:51,029:INFO:Copying training dataset
  21112. 2022-02-07 13:25:51,030:INFO:Copying test dataset
  21113. 2022-02-07 13:25:51,031:INFO:Plot type: parameter
  21114. 2022-02-07 13:25:51,037:INFO:Visual Rendered Successfully
  21115. 2022-02-07 13:25:51,224:INFO:plot_model() succesfully completed......................................
  21116. 2022-02-07 13:25:55,815:INFO:Initializing plot_model()
  21117. 2022-02-07 13:25:55,815:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=Pipeline(memory=None,
  21118. steps=[('dtypes',
  21119. DataTypes_Auto_infer(categorical_features=[],
  21120. display_types=True, features_todrop=[],
  21121. id_columns=[],
  21122. ml_usecase='classification',
  21123. numerical_features=[], target='label',
  21124. time_features=[])),
  21125. ('imputer',
  21126. Simple_Imputer(categorical_strategy='not_available',
  21127. fill_value_categorical=None,
  21128. fill_value_numerical=None,
  21129. numeric_strate...
  21130. max_delta_step=0, max_depth=64, max_leaves=1024,
  21131. min_child_weight=1, missing=nan,
  21132. monotone_constraints='()', n_estimators=100,
  21133. n_jobs=-1, num_parallel_tree=1,
  21134. objective='binary:logistic', predictor='auto',
  21135. random_state=1504, reg_alpha=0, reg_lambda=1,
  21136. scale_pos_weight=1, subsample=1,
  21137. tree_method='gpu_hist', use_label_encoder=True,
  21138. validate_parameters=1, ...)]],
  21139. verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  21140. 2022-02-07 13:25:55,815:INFO:Checking exceptions
  21141. 2022-02-07 13:25:55,816:INFO:Preparing display monitor
  21142. 2022-02-07 13:25:55,820:INFO:Preloading libraries
  21143. 2022-02-07 13:25:56,228:INFO:Copying training dataset
  21144. 2022-02-07 13:25:56,229:INFO:Copying test dataset
  21145. 2022-02-07 13:25:56,229:INFO:Plot type: auc
  21146. 2022-02-07 13:25:56,231:INFO:Initializing get_config()
  21147. 2022-02-07 13:25:56,231:INFO:get_config(variable=prep_pipe)
  21148. 2022-02-07 13:25:56,235:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21149. steps=[('dtypes',
  21150. DataTypes_Auto_infer(categorical_features=[],
  21151. display_types=True, features_todrop=[],
  21152. id_columns=[],
  21153. ml_usecase='classification',
  21154. numerical_features=[], target='label',
  21155. time_features=[])),
  21156. ('imputer',
  21157. Simple_Imputer(categorical_strategy='not_available',
  21158. fill_value_categorical=None,
  21159. fill_value_numerical=None,
  21160. numeric_strate...
  21161. target='label')),
  21162. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21163. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21164. ('dummy', Dummify(target='label')),
  21165. ('fix_perfect', Remove_100(target='label')),
  21166. ('clean_names', Clean_Colum_Names()),
  21167. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21168. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21169. verbose=False)
  21170. 2022-02-07 13:25:56,235:INFO:get_config() succesfully completed......................................
  21171. 2022-02-07 13:25:56,243:INFO:Fitting Model
  21172. 2022-02-07 13:26:36,710:INFO:Initializing load_model()
  21173. 2022-02-07 13:26:36,711:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  21174. 2022-02-07 13:26:52,718:INFO:Initializing predict_model()
  21175. 2022-02-07 13:26:52,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  21176. DataTypes_Auto_infer(ml_usecase='classification',
  21177. target='label')),
  21178. ('imputer',
  21179. Simple_Imputer(categorical_strategy='not_available',
  21180. fill_value_categorical=None,
  21181. fill_value_numerical=None,
  21182. numeric_strategy='mean',
  21183. target_variable=None)),
  21184. ('new_levels1',
  21185. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  21186. 'frequent',
  21187. targe...
  21188. gamma=0, gpu_id=0, importance_type=None,
  21189. interaction_constraints='', learning_rate=0.05,
  21190. max_delta_step=0, max_depth=64, max_leaves=1024,
  21191. min_child_weight=1, missing=nan,
  21192. monotone_constraints='()', n_estimators=100,
  21193. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  21194. random_state=1504, reg_alpha=0, reg_lambda=1,
  21195. scale_pos_weight=1, subsample=1,
  21196. tree_method='gpu_hist', validate_parameters=1,
  21197. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21198. 2022-02-07 13:26:52,718:INFO:Checking exceptions
  21199. 2022-02-07 13:26:52,718:INFO:Preloading libraries
  21200. 2022-02-07 13:27:02,174:INFO:Initializing predict_model()
  21201. 2022-02-07 13:27:02,174:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  21202. DataTypes_Auto_infer(ml_usecase='classification',
  21203. target='label')),
  21204. ('imputer',
  21205. Simple_Imputer(categorical_strategy='not_available',
  21206. fill_value_categorical=None,
  21207. fill_value_numerical=None,
  21208. numeric_strategy='mean',
  21209. target_variable=None)),
  21210. ('new_levels1',
  21211. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  21212. 'frequent',
  21213. targe...
  21214. gamma=0, gpu_id=0, importance_type=None,
  21215. interaction_constraints='', learning_rate=0.05,
  21216. max_delta_step=0, max_depth=64, max_leaves=1024,
  21217. min_child_weight=1, missing=nan,
  21218. monotone_constraints='()', n_estimators=100,
  21219. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  21220. random_state=1504, reg_alpha=0, reg_lambda=1,
  21221. scale_pos_weight=1, subsample=1,
  21222. tree_method='gpu_hist', validate_parameters=1,
  21223. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21224. 2022-02-07 13:27:02,175:INFO:Checking exceptions
  21225. 2022-02-07 13:27:02,175:INFO:Preloading libraries
  21226. 2022-02-07 13:27:55,631:INFO:Initializing predict_model()
  21227. 2022-02-07 13:27:55,631:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  21228. DataTypes_Auto_infer(ml_usecase='classification',
  21229. target='label')),
  21230. ('imputer',
  21231. Simple_Imputer(categorical_strategy='not_available',
  21232. fill_value_categorical=None,
  21233. fill_value_numerical=None,
  21234. numeric_strategy='mean',
  21235. target_variable=None)),
  21236. ('new_levels1',
  21237. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  21238. 'frequent',
  21239. targe...
  21240. gamma=0, gpu_id=0, importance_type=None,
  21241. interaction_constraints='', learning_rate=0.05,
  21242. max_delta_step=0, max_depth=64, max_leaves=1024,
  21243. min_child_weight=1, missing=nan,
  21244. monotone_constraints='()', n_estimators=100,
  21245. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  21246. random_state=1504, reg_alpha=0, reg_lambda=1,
  21247. scale_pos_weight=1, subsample=1,
  21248. tree_method='gpu_hist', validate_parameters=1,
  21249. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21250. 2022-02-07 13:27:55,631:INFO:Checking exceptions
  21251. 2022-02-07 13:27:55,631:INFO:Preloading libraries
  21252. 2022-02-07 13:28:16,161:INFO:Initializing predict_model()
  21253. 2022-02-07 13:28:16,161:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
  21254. DataTypes_Auto_infer(ml_usecase='classification',
  21255. target='label')),
  21256. ('imputer',
  21257. Simple_Imputer(categorical_strategy='not_available',
  21258. fill_value_categorical=None,
  21259. fill_value_numerical=None,
  21260. numeric_strategy='mean',
  21261. target_variable=None)),
  21262. ('new_levels1',
  21263. New_Catagorical_Levels_in_TestData(replacement_strategy='least '
  21264. 'frequent',
  21265. targe...
  21266. gamma=0, gpu_id=0, importance_type=None,
  21267. interaction_constraints='', learning_rate=0.05,
  21268. max_delta_step=0, max_depth=64, max_leaves=1024,
  21269. min_child_weight=1, missing=nan,
  21270. monotone_constraints='()', n_estimators=100,
  21271. n_jobs=-1, num_parallel_tree=1, predictor='auto',
  21272. random_state=1504, reg_alpha=0, reg_lambda=1,
  21273. scale_pos_weight=1, subsample=1,
  21274. tree_method='gpu_hist', validate_parameters=1,
  21275. verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21276. 2022-02-07 13:28:16,161:INFO:Checking exceptions
  21277. 2022-02-07 13:28:16,162:INFO:Preloading libraries
  21278. 2022-02-07 15:53:27,752:INFO:Initializing evaluate_model()
  21279. 2022-02-07 15:53:27,753:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21280. colsample_bynode=1, colsample_bytree=0.6,
  21281. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21282. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21283. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  21284. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21285. num_parallel_tree=1, objective='binary:logistic',
  21286. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  21287. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21288. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  21289. 2022-02-07 15:53:27,765:INFO:Initializing plot_model()
  21290. 2022-02-07 15:53:27,766:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21291. colsample_bynode=1, colsample_bytree=0.6,
  21292. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21293. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21294. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  21295. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21296. num_parallel_tree=1, objective='binary:logistic',
  21297. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  21298. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21299. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  21300. 2022-02-07 15:53:27,766:INFO:Checking exceptions
  21301. 2022-02-07 15:53:27,769:INFO:Preparing display monitor
  21302. 2022-02-07 15:53:27,774:INFO:Preloading libraries
  21303. 2022-02-07 15:53:28,079:INFO:Copying training dataset
  21304. 2022-02-07 15:53:28,080:INFO:Copying test dataset
  21305. 2022-02-07 15:53:28,081:INFO:Plot type: parameter
  21306. 2022-02-07 15:53:28,093:INFO:Visual Rendered Successfully
  21307. 2022-02-07 15:53:28,260:INFO:plot_model() succesfully completed......................................
  21308. 2022-02-07 15:53:30,113:INFO:Initializing plot_model()
  21309. 2022-02-07 15:53:30,115:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21310. colsample_bynode=1, colsample_bytree=0.6,
  21311. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21312. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21313. max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
  21314. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21315. num_parallel_tree=1, objective='binary:logistic',
  21316. predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
  21317. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21318. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  21319. 2022-02-07 15:53:30,115:INFO:Checking exceptions
  21320. 2022-02-07 15:53:30,117:INFO:Preparing display monitor
  21321. 2022-02-07 15:53:30,122:INFO:Preloading libraries
  21322. 2022-02-07 15:53:30,420:INFO:Copying training dataset
  21323. 2022-02-07 15:53:30,421:INFO:Copying test dataset
  21324. 2022-02-07 15:53:30,421:INFO:Plot type: confusion_matrix
  21325. 2022-02-07 15:53:30,427:INFO:Initializing get_config()
  21326. 2022-02-07 15:53:30,427:INFO:get_config(variable=prep_pipe)
  21327. 2022-02-07 15:53:30,430:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21328. steps=[('dtypes',
  21329. DataTypes_Auto_infer(categorical_features=[],
  21330. display_types=True, features_todrop=[],
  21331. id_columns=[],
  21332. ml_usecase='classification',
  21333. numerical_features=[], target='label',
  21334. time_features=[])),
  21335. ('imputer',
  21336. Simple_Imputer(categorical_strategy='not_available',
  21337. fill_value_categorical=None,
  21338. fill_value_numerical=None,
  21339. numeric_strate...
  21340. target='label')),
  21341. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21342. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21343. ('dummy', Dummify(target='label')),
  21344. ('fix_perfect', Remove_100(target='label')),
  21345. ('clean_names', Clean_Colum_Names()),
  21346. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21347. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21348. verbose=False)
  21349. 2022-02-07 15:53:30,430:INFO:get_config() succesfully completed......................................
  21350. 2022-02-07 15:53:30,438:INFO:Fitting Model
  21351. 2022-02-07 15:53:30,439:INFO:Scoring test/hold-out set
  21352. 2022-02-07 15:53:30,545:INFO:Visual Rendered Successfully
  21353. 2022-02-07 15:53:30,698:INFO:plot_model() succesfully completed......................................
  21354. 2022-02-07 15:54:17,997:INFO:PyCaret Supervised Module
  21355. 2022-02-07 15:54:17,997:INFO:ML Usecase: classification
  21356. 2022-02-07 15:54:17,997:INFO:version 2.3.6
  21357. 2022-02-07 15:54:17,997:INFO:Initializing setup()
  21358. 2022-02-07 15:54:17,997:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  21359. 2022-02-07 15:54:17,997:INFO:Checking environment
  21360. 2022-02-07 15:54:17,997:INFO:python_version: 3.8.12
  21361. 2022-02-07 15:54:17,997:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  21362. 2022-02-07 15:54:17,998:INFO:machine: AMD64
  21363. 2022-02-07 15:54:17,998:INFO:platform: Windows-10-10.0.22000-SP0
  21364. 2022-02-07 15:54:17,998:INFO:Memory: svmem(total=68629372928, available=52433874944, percent=23.6, used=16195497984, free=52433874944)
  21365. 2022-02-07 15:54:17,998:INFO:Physical Core: 16
  21366. 2022-02-07 15:54:17,998:INFO:Logical Core: 32
  21367. 2022-02-07 15:54:17,998:INFO:Checking libraries
  21368. 2022-02-07 15:54:17,998:INFO:pd==1.3.5
  21369. 2022-02-07 15:54:17,998:INFO:numpy==1.21.5
  21370. 2022-02-07 15:54:17,998:INFO:sklearn==0.23.2
  21371. 2022-02-07 15:54:17,998:INFO:lightgbm==3.3.2
  21372. 2022-02-07 15:54:18,013:INFO:catboost==1.0.4
  21373. 2022-02-07 15:54:18,113:INFO:xgboost==1.5.2
  21374. 2022-02-07 15:54:18,449:INFO:mlflow==1.23.1
  21375. 2022-02-07 15:54:18,449:INFO:Checking Exceptions
  21376. 2022-02-07 15:54:18,450:INFO:Declaring global variables
  21377. 2022-02-07 15:54:18,450:INFO:USI: 5a58
  21378. 2022-02-07 15:54:18,450:INFO:pycaret_globals: {'create_model_container', 'target_param', 'exp_name_log', 'master_model_container', 'fold_shuffle_param', 'fold_groups_param_full', 'y', '_gpu_n_jobs_param', 'USI', 'data_before_preprocess', '_ml_usecase', 'experiment__', 'logging_param', 'pycaret_globals', 'X_train', '_all_metrics', '_internal_pipeline', 'iterative_imputation_iters_param', 'X', 'y_train', 'X_test', 'y_test', 'n_jobs_param', 'gpu_param', '_all_models', 'transform_target_param', '_all_models_internal', 'html_param', 'seed', 'fix_imbalance_method_param', 'prep_pipe', 'transform_target_method_param', 'imputation_regressor', 'fix_imbalance_param', 'fold_param', 'fold_groups_param', 'display_container', '_available_plots', 'fold_generator', 'log_plots_param', 'imputation_classifier', 'stratify_param'}
  21379. 2022-02-07 15:54:18,450:INFO:Preparing display monitor
  21380. 2022-02-07 15:54:18,450:INFO:Preparing display monitor
  21381. 2022-02-07 15:54:18,460:INFO:Importing libraries
  21382. 2022-02-07 15:54:18,460:INFO:Copying data for preprocessing
  21383. 2022-02-07 15:54:18,466:INFO:Declaring preprocessing parameters
  21384. 2022-02-07 15:54:18,467:WARNING:cuML not found
  21385. 2022-02-07 15:54:18,467:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  21386. 2022-02-07 15:54:18,470:INFO:Creating preprocessing pipeline
  21387. 2022-02-07 15:54:18,525:INFO:Preprocessing pipeline created successfully
  21388. 2022-02-07 15:54:18,525:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  21389. 2022-02-07 15:54:18,525:INFO:Creating global containers
  21390. 2022-02-07 15:54:18,527:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  21391. 2022-02-07 15:54:20,800:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  21392. 2022-02-07 15:54:20,833:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  21393. 2022-02-07 15:54:20,835:WARNING:Couldn't import cuml.MBSGDClassifier
  21394. 2022-02-07 15:54:20,836:WARNING:Couldn't import cuml.svm.SVC
  21395. 2022-02-07 15:54:20,857:WARNING:Couldn't import cuml.linear_model
  21396. 2022-02-07 15:54:20,861:WARNING:Couldn't import cuml.ensemble
  21397. 2022-02-07 15:54:21,028:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  21398. 2022-02-07 15:54:21,088:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  21399. 2022-02-07 15:54:21,089:WARNING:Couldn't import cuml.MBSGDClassifier
  21400. 2022-02-07 15:54:21,091:WARNING:Couldn't import cuml.svm.SVC
  21401. 2022-02-07 15:54:21,121:WARNING:Couldn't import cuml.linear_model
  21402. 2022-02-07 15:54:21,125:WARNING:Couldn't import cuml.ensemble
  21403. 2022-02-07 15:54:21,256:INFO:Creating grid variables
  21404. 2022-02-07 15:54:21,269:INFO:create_model_container: 0
  21405. 2022-02-07 15:54:21,269:INFO:master_model_container: 0
  21406. 2022-02-07 15:54:21,269:INFO:display_container: 1
  21407. 2022-02-07 15:54:21,275:INFO:Pipeline(memory=None,
  21408. steps=[('dtypes',
  21409. DataTypes_Auto_infer(categorical_features=[],
  21410. display_types=True, features_todrop=[],
  21411. id_columns=[],
  21412. ml_usecase='classification',
  21413. numerical_features=[], target='label',
  21414. time_features=[])),
  21415. ('imputer',
  21416. Simple_Imputer(categorical_strategy='not_available',
  21417. fill_value_categorical=None,
  21418. fill_value_numerical=None,
  21419. numeric_strate...
  21420. target='label')),
  21421. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21422. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21423. ('dummy', Dummify(target='label')),
  21424. ('fix_perfect', Remove_100(target='label')),
  21425. ('clean_names', Clean_Colum_Names()),
  21426. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21427. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21428. verbose=False)
  21429. 2022-02-07 15:54:21,275:INFO:setup() succesfully completed......................................
  21430. 2022-02-07 15:54:24,887:INFO:Initializing create_model()
  21431. 2022-02-07 15:54:24,888:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  21432. 2022-02-07 15:54:24,888:INFO:Checking exceptions
  21433. 2022-02-07 15:54:24,888:INFO:Preparing display monitor
  21434. 2022-02-07 15:54:24,899:INFO:Importing libraries
  21435. 2022-02-07 15:54:24,899:INFO:Copying training dataset
  21436. 2022-02-07 15:54:24,900:INFO:Defining folds
  21437. 2022-02-07 15:54:24,900:INFO:Declaring metric variables
  21438. 2022-02-07 15:54:24,905:INFO:Importing untrained model
  21439. 2022-02-07 15:54:24,910:INFO:Extreme Gradient Boosting Imported succesfully
  21440. 2022-02-07 15:54:24,920:INFO:Starting cross validation
  21441. 2022-02-07 15:54:24,921:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  21442. 2022-02-07 15:54:37,335:INFO:Calculating mean and std
  21443. 2022-02-07 15:54:37,336:INFO:Creating metrics dataframe
  21444. 2022-02-07 15:54:37,346:INFO:Finalizing model
  21445. 2022-02-07 15:54:38,355:INFO:Uploading results into container
  21446. 2022-02-07 15:54:38,355:INFO:Uploading model into container now
  21447. 2022-02-07 15:54:38,363:INFO:create_model_container: 1
  21448. 2022-02-07 15:54:38,363:INFO:master_model_container: 1
  21449. 2022-02-07 15:54:38,363:INFO:display_container: 2
  21450. 2022-02-07 15:54:38,364:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21451. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  21452. gamma=0, gpu_id=0, importance_type=None,
  21453. interaction_constraints='', learning_rate=0.300000012,
  21454. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  21455. missing=nan, monotone_constraints='()', n_estimators=100,
  21456. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  21457. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21458. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21459. use_label_encoder=True, validate_parameters=1, ...)
  21460. 2022-02-07 15:54:38,364:INFO:create_model() succesfully completed......................................
  21461. 2022-02-07 15:54:52,151:INFO:Initializing tune_model()
  21462. 2022-02-07 15:54:52,152:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21463. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  21464. gamma=0, gpu_id=0, importance_type=None,
  21465. interaction_constraints='', learning_rate=0.300000012,
  21466. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  21467. missing=nan, monotone_constraints='()', n_estimators=100,
  21468. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  21469. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21470. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21471. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, n_iter=10, custom_grid={'max_depth': [128, 64, 32], 'max_leaves': [256, 1024, 4096], 'colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'learning_rate': [0.05, 0.005]}, optimize=Accuracy, custom_scorer=None, search_library=scikit-learn, search_algorithm=None, early_stopping=False, early_stopping_max_iters=10, choose_better=False, fit_kwargs=None, groups=None, return_tuner=False, verbose=True, tuner_verbose=3, display=None, kwargs={})
  21472. 2022-02-07 15:54:52,152:INFO:Checking exceptions
  21473. 2022-02-07 15:54:52,152:INFO:Preparing display monitor
  21474. 2022-02-07 15:54:52,163:INFO:Copying training dataset
  21475. 2022-02-07 15:54:52,164:INFO:Checking base model
  21476. 2022-02-07 15:54:52,164:INFO:Base model : Extreme Gradient Boosting
  21477. 2022-02-07 15:54:52,170:INFO:Declaring metric variables
  21478. 2022-02-07 15:54:52,175:INFO:Defining Hyperparameters
  21479. 2022-02-07 15:54:52,264:INFO:custom_grid: {'actual_estimator__max_depth': [128, 64, 32], 'actual_estimator__max_leaves': [256, 1024, 4096], 'actual_estimator__colsample_bytree': [0.2, 0.4, 0.6, 0.8, 1.0], 'actual_estimator__learning_rate': [0.05, 0.005]}
  21480. 2022-02-07 15:54:52,264:INFO:Tuning with n_jobs=1
  21481. 2022-02-07 15:54:52,264:INFO:Initializing RandomizedSearchCV
  21482. 2022-02-07 16:06:58,595:INFO:best_params: {'actual_estimator__max_leaves': 1024, 'actual_estimator__max_depth': 128, 'actual_estimator__learning_rate': 0.05, 'actual_estimator__colsample_bytree': 0.6}
  21483. 2022-02-07 16:06:58,596:INFO:Hyperparameter search completed
  21484. 2022-02-07 16:06:58,596:INFO:SubProcess create_model() called ==================================
  21485. 2022-02-07 16:06:58,597:INFO:Initializing create_model()
  21486. 2022-02-07 16:06:58,597:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21487. colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
  21488. gamma=0, gpu_id=0, importance_type=None,
  21489. interaction_constraints='', learning_rate=0.300000012,
  21490. max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
  21491. missing=nan, monotone_constraints='()', n_estimators=100,
  21492. n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
  21493. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21494. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21495. use_label_encoder=True, validate_parameters=1, ...), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=True, system=False, metrics=None, add_to_model_list=True, probability_threshold=None, display=<pycaret.internal.Display.Display object at 0x0000019D863D2F40>, kwargs={'max_leaves': 1024, 'max_depth': 128, 'learning_rate': 0.05, 'colsample_bytree': 0.6})
  21496. 2022-02-07 16:06:58,597:INFO:Checking exceptions
  21497. 2022-02-07 16:06:58,597:INFO:Importing libraries
  21498. 2022-02-07 16:06:58,597:INFO:Copying training dataset
  21499. 2022-02-07 16:06:58,599:INFO:Defining folds
  21500. 2022-02-07 16:06:58,599:INFO:Declaring metric variables
  21501. 2022-02-07 16:06:58,605:INFO:Importing untrained model
  21502. 2022-02-07 16:06:58,605:INFO:Declaring custom model
  21503. 2022-02-07 16:06:58,613:INFO:Extreme Gradient Boosting Imported succesfully
  21504. 2022-02-07 16:06:58,625:INFO:Starting cross validation
  21505. 2022-02-07 16:06:58,626:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  21506. 2022-02-07 16:08:54,655:INFO:Calculating mean and std
  21507. 2022-02-07 16:08:54,656:INFO:Creating metrics dataframe
  21508. 2022-02-07 16:08:54,666:INFO:Finalizing model
  21509. 2022-02-07 16:09:06,436:INFO:Uploading results into container
  21510. 2022-02-07 16:09:06,436:INFO:Uploading model into container now
  21511. 2022-02-07 16:09:06,436:INFO:create_model_container: 2
  21512. 2022-02-07 16:09:06,436:INFO:master_model_container: 2
  21513. 2022-02-07 16:09:06,436:INFO:display_container: 3
  21514. 2022-02-07 16:09:06,437:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21515. colsample_bynode=1, colsample_bytree=0.6,
  21516. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21517. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21518. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21519. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21520. num_parallel_tree=1, objective='binary:logistic',
  21521. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21522. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21523. use_label_encoder=True, validate_parameters=1, ...)
  21524. 2022-02-07 16:09:06,437:INFO:create_model() succesfully completed......................................
  21525. 2022-02-07 16:09:06,513:INFO:SubProcess create_model() end ==================================
  21526. 2022-02-07 16:09:06,521:INFO:create_model_container: 2
  21527. 2022-02-07 16:09:06,521:INFO:master_model_container: 2
  21528. 2022-02-07 16:09:06,521:INFO:display_container: 3
  21529. 2022-02-07 16:09:06,522:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21530. colsample_bynode=1, colsample_bytree=0.6,
  21531. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21532. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21533. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21534. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21535. num_parallel_tree=1, objective='binary:logistic',
  21536. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21537. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21538. use_label_encoder=True, validate_parameters=1, ...)
  21539. 2022-02-07 16:09:06,522:INFO:tune_model() succesfully completed......................................
  21540. 2022-02-07 16:27:22,917:INFO:Initializing finalize_model()
  21541. 2022-02-07 16:27:22,917:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21542. colsample_bynode=1, colsample_bytree=0.6,
  21543. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21544. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21545. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21546. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21547. num_parallel_tree=1, objective='binary:logistic',
  21548. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21549. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21550. use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
  21551. 2022-02-07 16:27:22,918:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21552. colsample_bynode=1, colsample_bytree=0.6,
  21553. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21554. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21555. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21556. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21557. num_parallel_tree=1, objective='binary:logistic',
  21558. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21559. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21560. use_label_encoder=True, validate_parameters=1, ...)
  21561. 2022-02-07 16:27:22,919:INFO:Initializing create_model()
  21562. 2022-02-07 16:27:22,919:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21563. colsample_bynode=1, colsample_bytree=0.6,
  21564. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21565. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21566. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21567. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21568. num_parallel_tree=1, objective='binary:logistic',
  21569. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21570. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21571. use_label_encoder=True, validate_parameters=1, ...), fold=None, round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=True, verbose=False, system=False, metrics=None, add_to_model_list=False, probability_threshold=None, display=None, kwargs={})
  21572. 2022-02-07 16:27:22,919:INFO:Checking exceptions
  21573. 2022-02-07 16:27:22,919:INFO:Importing libraries
  21574. 2022-02-07 16:27:22,919:INFO:Copying training dataset
  21575. 2022-02-07 16:27:22,921:INFO:Defining folds
  21576. 2022-02-07 16:27:22,921:INFO:Declaring metric variables
  21577. 2022-02-07 16:27:22,921:INFO:Importing untrained model
  21578. 2022-02-07 16:27:22,921:INFO:Declaring custom model
  21579. 2022-02-07 16:27:22,922:INFO:Extreme Gradient Boosting Imported succesfully
  21580. 2022-02-07 16:27:22,922:INFO:Starting cross validation
  21581. 2022-02-07 16:27:22,923:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  21582. 2022-02-07 16:29:34,627:INFO:Calculating mean and std
  21583. 2022-02-07 16:29:34,628:INFO:Creating metrics dataframe
  21584. 2022-02-07 16:29:34,630:INFO:Finalizing model
  21585. 2022-02-07 16:29:48,339:INFO:create_model_container: 2
  21586. 2022-02-07 16:29:48,340:INFO:master_model_container: 2
  21587. 2022-02-07 16:29:48,340:INFO:display_container: 4
  21588. 2022-02-07 16:29:48,341:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21589. colsample_bynode=1, colsample_bytree=0.6,
  21590. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21591. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21592. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21593. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21594. num_parallel_tree=1, objective='binary:logistic',
  21595. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21596. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21597. use_label_encoder=True, validate_parameters=1, ...)
  21598. 2022-02-07 16:29:48,341:INFO:create_model() succesfully completed......................................
  21599. 2022-02-07 16:29:48,426:INFO:create_model_container: 2
  21600. 2022-02-07 16:29:48,427:INFO:master_model_container: 2
  21601. 2022-02-07 16:29:48,427:INFO:display_container: 3
  21602. 2022-02-07 16:29:48,428:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21603. colsample_bynode=1, colsample_bytree=0.6,
  21604. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21605. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21606. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21607. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21608. num_parallel_tree=1, objective='binary:logistic',
  21609. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21610. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21611. use_label_encoder=True, validate_parameters=1, ...)
  21612. 2022-02-07 16:29:48,428:INFO:finalize_model() succesfully completed......................................
  21613. 2022-02-07 16:29:48,524:INFO:Initializing save_model()
  21614. 2022-02-07 16:29:48,524:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21615. colsample_bynode=1, colsample_bytree=0.6,
  21616. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21617. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21618. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21619. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21620. num_parallel_tree=1, objective='binary:logistic',
  21621. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21622. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21623. use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
  21624. steps=[('dtypes',
  21625. DataTypes_Auto_infer(categorical_features=[],
  21626. display_types=True, features_todrop=[],
  21627. id_columns=[],
  21628. ml_usecase='classification',
  21629. numerical_features=[], target='label',
  21630. time_features=[])),
  21631. ('imputer',
  21632. Simple_Imputer(categorical_strategy='not_available',
  21633. fill_value_categorical=None,
  21634. fill_value_numerical=None,
  21635. numeric_strate...
  21636. target='label')),
  21637. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21638. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21639. ('dummy', Dummify(target='label')),
  21640. ('fix_perfect', Remove_100(target='label')),
  21641. ('clean_names', Clean_Colum_Names()),
  21642. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21643. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21644. verbose=False), verbose=True, kwargs={})
  21645. 2022-02-07 16:29:48,524:INFO:Adding model into prep_pipe
  21646. 2022-02-07 16:29:48,771:INFO:tuned_xgboost_0207.pkl saved in current working directory
  21647. 2022-02-07 16:29:48,778:INFO:Pipeline(memory=None,
  21648. steps=[('dtypes',
  21649. DataTypes_Auto_infer(categorical_features=[],
  21650. display_types=True, features_todrop=[],
  21651. id_columns=[],
  21652. ml_usecase='classification',
  21653. numerical_features=[], target='label',
  21654. time_features=[])),
  21655. ('imputer',
  21656. Simple_Imputer(categorical_strategy='not_available',
  21657. fill_value_categorical=None,
  21658. fill_value_numerical=None,
  21659. numeric_strate...
  21660. max_delta_step=0, max_depth=128, max_leaves=1024,
  21661. min_child_weight=1, missing=nan,
  21662. monotone_constraints='()', n_estimators=100,
  21663. n_jobs=-1, num_parallel_tree=1,
  21664. objective='binary:logistic', predictor='auto',
  21665. random_state=8985, reg_alpha=0, reg_lambda=1,
  21666. scale_pos_weight=1, subsample=1,
  21667. tree_method='gpu_hist', use_label_encoder=True,
  21668. validate_parameters=1, ...)]],
  21669. verbose=False)
  21670. 2022-02-07 16:29:48,779:INFO:save_model() successfully completed......................................
  21671. 2022-02-07 16:29:48,861:INFO:Initializing predict_model()
  21672. 2022-02-07 16:29:48,861:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21673. colsample_bynode=1, colsample_bytree=0.6,
  21674. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21675. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21676. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21677. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21678. num_parallel_tree=1, objective='binary:logistic',
  21679. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21680. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21681. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21682. 2022-02-07 16:29:48,861:INFO:Checking exceptions
  21683. 2022-02-07 16:29:48,861:INFO:Preloading libraries
  21684. 2022-02-07 16:29:48,861:INFO:Preparing display monitor
  21685. 2022-02-07 16:40:58,715:INFO:Initializing predict_model()
  21686. 2022-02-07 16:40:58,715:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21687. colsample_bynode=1, colsample_bytree=0.6,
  21688. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21689. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21690. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21691. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21692. num_parallel_tree=1, objective='binary:logistic',
  21693. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21694. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21695. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21696. 2022-02-07 16:40:58,715:INFO:Checking exceptions
  21697. 2022-02-07 16:40:58,716:INFO:Preloading libraries
  21698. 2022-02-07 16:40:58,716:INFO:Preparing display monitor
  21699. 2022-02-07 16:41:14,873:INFO:Initializing predict_model()
  21700. 2022-02-07 16:41:14,873:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21701. colsample_bynode=1, colsample_bytree=0.6,
  21702. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21703. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21704. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21705. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21706. num_parallel_tree=1, objective='binary:logistic',
  21707. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21708. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21709. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21710. 2022-02-07 16:41:14,873:INFO:Checking exceptions
  21711. 2022-02-07 16:41:14,873:INFO:Preloading libraries
  21712. 2022-02-07 16:41:14,873:INFO:Preparing display monitor
  21713. 2022-02-07 16:42:02,306:INFO:Initializing predict_model()
  21714. 2022-02-07 16:42:02,307:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21715. colsample_bynode=1, colsample_bytree=0.6,
  21716. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21717. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21718. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21719. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21720. num_parallel_tree=1, objective='binary:logistic',
  21721. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21722. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21723. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21724. 2022-02-07 16:42:02,307:INFO:Checking exceptions
  21725. 2022-02-07 16:42:02,307:INFO:Preloading libraries
  21726. 2022-02-07 16:42:02,307:INFO:Preparing display monitor
  21727. 2022-02-07 16:42:08,151:INFO:Initializing predict_model()
  21728. 2022-02-07 16:42:08,151:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21729. colsample_bynode=1, colsample_bytree=0.6,
  21730. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21731. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21732. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21733. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21734. num_parallel_tree=1, objective='binary:logistic',
  21735. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21736. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21737. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21738. 2022-02-07 16:42:08,151:INFO:Checking exceptions
  21739. 2022-02-07 16:42:08,151:INFO:Preloading libraries
  21740. 2022-02-07 16:42:08,151:INFO:Preparing display monitor
  21741. 2022-02-07 16:42:12,479:INFO:Initializing predict_model()
  21742. 2022-02-07 16:42:12,480:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21743. colsample_bynode=1, colsample_bytree=0.6,
  21744. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21745. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21746. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21747. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21748. num_parallel_tree=1, objective='binary:logistic',
  21749. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21750. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21751. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21752. 2022-02-07 16:42:12,480:INFO:Checking exceptions
  21753. 2022-02-07 16:42:12,480:INFO:Preloading libraries
  21754. 2022-02-07 16:42:12,480:INFO:Preparing display monitor
  21755. 2022-02-07 16:42:36,568:INFO:Initializing predict_model()
  21756. 2022-02-07 16:42:36,568:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21757. colsample_bynode=1, colsample_bytree=0.6,
  21758. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21759. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21760. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21761. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21762. num_parallel_tree=1, objective='binary:logistic',
  21763. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21764. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21765. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21766. 2022-02-07 16:42:36,568:INFO:Checking exceptions
  21767. 2022-02-07 16:42:36,568:INFO:Preloading libraries
  21768. 2022-02-07 16:42:36,568:INFO:Preparing display monitor
  21769. 2022-02-07 16:45:18,004:INFO:Initializing predict_model()
  21770. 2022-02-07 16:45:18,004:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21771. colsample_bynode=1, colsample_bytree=0.6,
  21772. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21773. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21774. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21775. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21776. num_parallel_tree=1, objective='binary:logistic',
  21777. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21778. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21779. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21780. 2022-02-07 16:45:18,004:INFO:Checking exceptions
  21781. 2022-02-07 16:45:18,004:INFO:Preloading libraries
  21782. 2022-02-07 16:45:18,004:INFO:Preparing display monitor
  21783. 2022-02-07 16:46:24,221:INFO:Initializing predict_model()
  21784. 2022-02-07 16:46:24,221:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21785. colsample_bynode=1, colsample_bytree=0.6,
  21786. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21787. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21788. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21789. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21790. num_parallel_tree=1, objective='binary:logistic',
  21791. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21792. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21793. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21794. 2022-02-07 16:46:24,221:INFO:Checking exceptions
  21795. 2022-02-07 16:46:24,221:INFO:Preloading libraries
  21796. 2022-02-07 16:46:24,221:INFO:Preparing display monitor
  21797. 2022-02-07 16:47:05,594:INFO:Initializing predict_model()
  21798. 2022-02-07 16:47:05,594:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21799. colsample_bynode=1, colsample_bytree=0.6,
  21800. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21801. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21802. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21803. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21804. num_parallel_tree=1, objective='binary:logistic',
  21805. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21806. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21807. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21808. 2022-02-07 16:47:05,594:INFO:Checking exceptions
  21809. 2022-02-07 16:47:05,594:INFO:Preloading libraries
  21810. 2022-02-07 16:47:05,594:INFO:Preparing display monitor
  21811. 2022-02-07 16:47:09,727:INFO:Initializing predict_model()
  21812. 2022-02-07 16:47:09,728:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21813. colsample_bynode=1, colsample_bytree=0.6,
  21814. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21815. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21816. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21817. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21818. num_parallel_tree=1, objective='binary:logistic',
  21819. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21820. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21821. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21822. 2022-02-07 16:47:09,728:INFO:Checking exceptions
  21823. 2022-02-07 16:47:09,728:INFO:Preloading libraries
  21824. 2022-02-07 16:47:09,728:INFO:Preparing display monitor
  21825. 2022-02-07 16:47:20,301:INFO:Initializing predict_model()
  21826. 2022-02-07 16:47:20,301:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21827. colsample_bynode=1, colsample_bytree=0.6,
  21828. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21829. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21830. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21831. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21832. num_parallel_tree=1, objective='binary:logistic',
  21833. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21834. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21835. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  21836. 2022-02-07 16:47:20,301:INFO:Checking exceptions
  21837. 2022-02-07 16:47:20,301:INFO:Preloading libraries
  21838. 2022-02-07 16:47:20,301:INFO:Preparing display monitor
  21839. 2022-02-07 17:02:13,972:INFO:Initializing evaluate_model()
  21840. 2022-02-07 17:02:13,972:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21841. colsample_bynode=1, colsample_bytree=0.6,
  21842. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21843. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21844. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21845. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21846. num_parallel_tree=1, objective='binary:logistic',
  21847. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21848. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21849. use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
  21850. 2022-02-07 17:02:13,986:INFO:Initializing plot_model()
  21851. 2022-02-07 17:02:13,987:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21852. colsample_bynode=1, colsample_bytree=0.6,
  21853. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21854. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21855. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21856. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21857. num_parallel_tree=1, objective='binary:logistic',
  21858. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21859. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21860. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
  21861. 2022-02-07 17:02:13,987:INFO:Checking exceptions
  21862. 2022-02-07 17:02:13,990:INFO:Preparing display monitor
  21863. 2022-02-07 17:02:13,994:INFO:Preloading libraries
  21864. 2022-02-07 17:02:14,290:INFO:Copying training dataset
  21865. 2022-02-07 17:02:14,292:INFO:Copying test dataset
  21866. 2022-02-07 17:02:14,292:INFO:Plot type: parameter
  21867. 2022-02-07 17:02:14,303:INFO:Visual Rendered Successfully
  21868. 2022-02-07 17:02:14,411:INFO:plot_model() succesfully completed......................................
  21869. 2022-02-07 17:02:16,480:INFO:Initializing plot_model()
  21870. 2022-02-07 17:02:16,481:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21871. colsample_bynode=1, colsample_bytree=0.6,
  21872. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21873. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21874. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21875. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21876. num_parallel_tree=1, objective='binary:logistic',
  21877. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21878. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21879. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
  21880. 2022-02-07 17:02:16,481:INFO:Checking exceptions
  21881. 2022-02-07 17:02:16,484:INFO:Preparing display monitor
  21882. 2022-02-07 17:02:16,488:INFO:Preloading libraries
  21883. 2022-02-07 17:02:16,771:INFO:Copying training dataset
  21884. 2022-02-07 17:02:16,772:INFO:Copying test dataset
  21885. 2022-02-07 17:02:16,772:INFO:Plot type: confusion_matrix
  21886. 2022-02-07 17:02:16,780:INFO:Initializing get_config()
  21887. 2022-02-07 17:02:16,780:INFO:get_config(variable=prep_pipe)
  21888. 2022-02-07 17:02:16,783:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21889. steps=[('dtypes',
  21890. DataTypes_Auto_infer(categorical_features=[],
  21891. display_types=True, features_todrop=[],
  21892. id_columns=[],
  21893. ml_usecase='classification',
  21894. numerical_features=[], target='label',
  21895. time_features=[])),
  21896. ('imputer',
  21897. Simple_Imputer(categorical_strategy='not_available',
  21898. fill_value_categorical=None,
  21899. fill_value_numerical=None,
  21900. numeric_strate...
  21901. target='label')),
  21902. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  21903. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  21904. ('dummy', Dummify(target='label')),
  21905. ('fix_perfect', Remove_100(target='label')),
  21906. ('clean_names', Clean_Colum_Names()),
  21907. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  21908. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  21909. verbose=False)
  21910. 2022-02-07 17:02:16,783:INFO:get_config() succesfully completed......................................
  21911. 2022-02-07 17:02:16,794:INFO:Fitting Model
  21912. 2022-02-07 17:02:16,796:INFO:Scoring test/hold-out set
  21913. 2022-02-07 17:02:16,951:INFO:Visual Rendered Successfully
  21914. 2022-02-07 17:02:17,051:INFO:plot_model() succesfully completed......................................
  21915. 2022-02-07 17:02:25,458:INFO:Initializing plot_model()
  21916. 2022-02-07 17:02:25,458:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21917. colsample_bynode=1, colsample_bytree=0.6,
  21918. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21919. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21920. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21921. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21922. num_parallel_tree=1, objective='binary:logistic',
  21923. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21924. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21925. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
  21926. 2022-02-07 17:02:25,458:INFO:Checking exceptions
  21927. 2022-02-07 17:02:25,461:INFO:Preparing display monitor
  21928. 2022-02-07 17:02:25,465:INFO:Preloading libraries
  21929. 2022-02-07 17:02:25,767:INFO:Copying training dataset
  21930. 2022-02-07 17:02:25,769:INFO:Copying test dataset
  21931. 2022-02-07 17:02:25,769:INFO:Plot type: lift
  21932. 2022-02-07 17:02:25,776:INFO:Generating predictions / predict_proba on X_test
  21933. 2022-02-07 17:02:26,209:INFO:Visual Rendered Successfully
  21934. 2022-02-07 17:02:26,319:INFO:plot_model() succesfully completed......................................
  21935. 2022-02-07 17:02:29,212:INFO:Initializing plot_model()
  21936. 2022-02-07 17:02:29,212:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21937. colsample_bynode=1, colsample_bytree=0.6,
  21938. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21939. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21940. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21941. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21942. num_parallel_tree=1, objective='binary:logistic',
  21943. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21944. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21945. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
  21946. 2022-02-07 17:02:29,212:INFO:Checking exceptions
  21947. 2022-02-07 17:02:29,215:INFO:Preparing display monitor
  21948. 2022-02-07 17:02:29,219:INFO:Preloading libraries
  21949. 2022-02-07 17:02:29,519:INFO:Copying training dataset
  21950. 2022-02-07 17:02:29,521:INFO:Copying test dataset
  21951. 2022-02-07 17:02:29,521:INFO:Plot type: gain
  21952. 2022-02-07 17:02:29,528:INFO:Generating predictions / predict_proba on X_test
  21953. 2022-02-07 17:02:29,953:INFO:Visual Rendered Successfully
  21954. 2022-02-07 17:02:30,057:INFO:plot_model() succesfully completed......................................
  21955. 2022-02-07 17:02:40,994:INFO:Initializing plot_model()
  21956. 2022-02-07 17:02:40,994:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21957. colsample_bynode=1, colsample_bytree=0.6,
  21958. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21959. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21960. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21961. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21962. num_parallel_tree=1, objective='binary:logistic',
  21963. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21964. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21965. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=vc, plot_kwargs={}, save=False, scale=1, system=True)
  21966. 2022-02-07 17:02:40,994:INFO:Checking exceptions
  21967. 2022-02-07 17:02:40,997:INFO:Preparing display monitor
  21968. 2022-02-07 17:02:41,001:INFO:Preloading libraries
  21969. 2022-02-07 17:02:41,302:INFO:Copying training dataset
  21970. 2022-02-07 17:02:41,303:INFO:Copying test dataset
  21971. 2022-02-07 17:02:41,303:INFO:Plot type: vc
  21972. 2022-02-07 17:02:41,310:INFO:Determining param_name
  21973. 2022-02-07 17:02:41,311:INFO:param_name: actual_estimator__max_depth
  21974. 2022-02-07 17:02:41,324:INFO:Fitting Model
  21975. 2022-02-07 17:04:10,018:INFO:Visual Rendered Successfully
  21976. 2022-02-07 17:04:10,123:INFO:plot_model() succesfully completed......................................
  21977. 2022-02-07 17:04:35,286:INFO:Initializing plot_model()
  21978. 2022-02-07 17:04:35,286:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  21979. colsample_bynode=1, colsample_bytree=0.6,
  21980. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  21981. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  21982. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  21983. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  21984. num_parallel_tree=1, objective='binary:logistic',
  21985. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  21986. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  21987. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
  21988. 2022-02-07 17:04:35,287:INFO:Checking exceptions
  21989. 2022-02-07 17:04:35,290:INFO:Preparing display monitor
  21990. 2022-02-07 17:04:35,294:INFO:Preloading libraries
  21991. 2022-02-07 17:04:35,602:INFO:Copying training dataset
  21992. 2022-02-07 17:04:35,603:INFO:Copying test dataset
  21993. 2022-02-07 17:04:35,604:INFO:Plot type: auc
  21994. 2022-02-07 17:04:35,610:INFO:Initializing get_config()
  21995. 2022-02-07 17:04:35,610:INFO:get_config(variable=prep_pipe)
  21996. 2022-02-07 17:04:35,614:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
  21997. steps=[('dtypes',
  21998. DataTypes_Auto_infer(categorical_features=[],
  21999. display_types=True, features_todrop=[],
  22000. id_columns=[],
  22001. ml_usecase='classification',
  22002. numerical_features=[], target='label',
  22003. time_features=[])),
  22004. ('imputer',
  22005. Simple_Imputer(categorical_strategy='not_available',
  22006. fill_value_categorical=None,
  22007. fill_value_numerical=None,
  22008. numeric_strate...
  22009. target='label')),
  22010. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22011. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22012. ('dummy', Dummify(target='label')),
  22013. ('fix_perfect', Remove_100(target='label')),
  22014. ('clean_names', Clean_Colum_Names()),
  22015. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22016. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22017. verbose=False)
  22018. 2022-02-07 17:04:35,614:INFO:get_config() succesfully completed......................................
  22019. 2022-02-07 17:04:35,622:INFO:Fitting Model
  22020. 2022-02-07 17:04:35,623:INFO:Scoring test/hold-out set
  22021. 2022-02-07 17:04:35,770:INFO:Visual Rendered Successfully
  22022. 2022-02-07 17:04:35,870:INFO:plot_model() succesfully completed......................................
  22023. 2022-02-07 17:04:38,824:INFO:Initializing plot_model()
  22024. 2022-02-07 17:04:38,824:INFO:plot_model(fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), use_train_data=False, verbose=True, is_in_evaluate=True, display=None, display_format=None, estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22025. colsample_bynode=1, colsample_bytree=0.6,
  22026. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22027. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22028. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22029. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22030. num_parallel_tree=1, objective='binary:logistic',
  22031. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22032. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22033. use_label_encoder=True, validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=vc, plot_kwargs={}, save=False, scale=1, system=True)
  22034. 2022-02-07 17:04:38,824:INFO:Checking exceptions
  22035. 2022-02-07 17:04:38,828:INFO:Preparing display monitor
  22036. 2022-02-07 17:04:38,832:INFO:Preloading libraries
  22037. 2022-02-07 17:04:39,127:INFO:Copying training dataset
  22038. 2022-02-07 17:04:39,127:INFO:Copying test dataset
  22039. 2022-02-07 17:04:39,128:INFO:Plot type: vc
  22040. 2022-02-07 17:04:39,134:INFO:Determining param_name
  22041. 2022-02-07 17:04:39,135:INFO:param_name: actual_estimator__max_depth
  22042. 2022-02-07 17:04:39,143:INFO:Fitting Model
  22043. 2022-02-07 17:06:06,017:INFO:Visual Rendered Successfully
  22044. 2022-02-07 17:06:06,123:INFO:plot_model() succesfully completed......................................
  22045. 2022-02-07 17:06:34,598:INFO:Initializing predict_model()
  22046. 2022-02-07 17:06:34,598:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22047. colsample_bynode=1, colsample_bytree=0.6,
  22048. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22049. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22050. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22051. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22052. num_parallel_tree=1, objective='binary:logistic',
  22053. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22054. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22055. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22056. 2022-02-07 17:06:34,598:INFO:Checking exceptions
  22057. 2022-02-07 17:06:34,598:INFO:Preloading libraries
  22058. 2022-02-07 17:06:34,598:INFO:Preparing display monitor
  22059. 2022-02-08 09:39:59,359:INFO:Initializing predict_model()
  22060. 2022-02-08 09:39:59,359:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22061. colsample_bynode=1, colsample_bytree=0.6,
  22062. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22063. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22064. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22065. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22066. num_parallel_tree=1, objective='binary:logistic',
  22067. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22068. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22069. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22070. 2022-02-08 09:39:59,359:INFO:Checking exceptions
  22071. 2022-02-08 09:39:59,359:INFO:Preloading libraries
  22072. 2022-02-08 09:39:59,359:INFO:Preparing display monitor
  22073. 2022-02-08 09:40:21,354:INFO:Initializing predict_model()
  22074. 2022-02-08 09:40:21,355:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22075. colsample_bynode=1, colsample_bytree=0.6,
  22076. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22077. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22078. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22079. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22080. num_parallel_tree=1, objective='binary:logistic',
  22081. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22082. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22083. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22084. 2022-02-08 09:40:21,355:INFO:Checking exceptions
  22085. 2022-02-08 09:40:21,355:INFO:Preloading libraries
  22086. 2022-02-08 09:40:21,355:INFO:Preparing display monitor
  22087. 2022-02-08 09:41:04,152:INFO:Initializing predict_model()
  22088. 2022-02-08 09:41:04,152:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22089. colsample_bynode=1, colsample_bytree=0.6,
  22090. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22091. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22092. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22093. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22094. num_parallel_tree=1, objective='binary:logistic',
  22095. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22096. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22097. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22098. 2022-02-08 09:41:04,152:INFO:Checking exceptions
  22099. 2022-02-08 09:41:04,153:INFO:Preloading libraries
  22100. 2022-02-08 09:41:04,153:INFO:Preparing display monitor
  22101. 2022-02-08 09:41:07,602:INFO:Initializing predict_model()
  22102. 2022-02-08 09:41:07,602:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22103. colsample_bynode=1, colsample_bytree=0.6,
  22104. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22105. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22106. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22107. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22108. num_parallel_tree=1, objective='binary:logistic',
  22109. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22110. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22111. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22112. 2022-02-08 09:41:07,602:INFO:Checking exceptions
  22113. 2022-02-08 09:41:07,602:INFO:Preloading libraries
  22114. 2022-02-08 09:41:07,603:INFO:Preparing display monitor
  22115. 2022-02-08 09:41:35,620:INFO:Initializing predict_model()
  22116. 2022-02-08 09:41:35,621:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22117. colsample_bynode=1, colsample_bytree=0.6,
  22118. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22119. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22120. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22121. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22122. num_parallel_tree=1, objective='binary:logistic',
  22123. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22124. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22125. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22126. 2022-02-08 09:41:35,621:INFO:Checking exceptions
  22127. 2022-02-08 09:41:35,621:INFO:Preloading libraries
  22128. 2022-02-08 09:41:35,621:INFO:Preparing display monitor
  22129. 2022-02-08 09:41:44,516:INFO:Initializing predict_model()
  22130. 2022-02-08 09:41:44,516:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22131. colsample_bynode=1, colsample_bytree=0.6,
  22132. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22133. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22134. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22135. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22136. num_parallel_tree=1, objective='binary:logistic',
  22137. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22138. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22139. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22140. 2022-02-08 09:41:44,516:INFO:Checking exceptions
  22141. 2022-02-08 09:41:44,516:INFO:Preloading libraries
  22142. 2022-02-08 09:41:44,516:INFO:Preparing display monitor
  22143. 2022-02-08 09:42:08,746:INFO:Initializing predict_model()
  22144. 2022-02-08 09:42:08,746:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22145. colsample_bynode=1, colsample_bytree=0.6,
  22146. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22147. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22148. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22149. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22150. num_parallel_tree=1, objective='binary:logistic',
  22151. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22152. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22153. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22154. 2022-02-08 09:42:08,746:INFO:Checking exceptions
  22155. 2022-02-08 09:42:08,746:INFO:Preloading libraries
  22156. 2022-02-08 09:42:08,746:INFO:Preparing display monitor
  22157. 2022-02-08 09:42:19,789:INFO:Initializing predict_model()
  22158. 2022-02-08 09:42:19,789:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22159. colsample_bynode=1, colsample_bytree=0.6,
  22160. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22161. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22162. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22163. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22164. num_parallel_tree=1, objective='binary:logistic',
  22165. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22166. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22167. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22168. 2022-02-08 09:42:19,789:INFO:Checking exceptions
  22169. 2022-02-08 09:42:19,789:INFO:Preloading libraries
  22170. 2022-02-08 09:42:19,789:INFO:Preparing display monitor
  22171. 2022-02-08 09:42:26,235:INFO:Initializing predict_model()
  22172. 2022-02-08 09:42:26,235:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
  22173. colsample_bynode=1, colsample_bytree=0.6,
  22174. enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
  22175. interaction_constraints='', learning_rate=0.05, max_delta_step=0,
  22176. max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
  22177. monotone_constraints='()', n_estimators=100, n_jobs=-1,
  22178. num_parallel_tree=1, objective='binary:logistic',
  22179. predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
  22180. scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
  22181. use_label_encoder=True, validate_parameters=1, ...), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22182. 2022-02-08 09:42:26,235:INFO:Checking exceptions
  22183. 2022-02-08 09:42:26,235:INFO:Preloading libraries
  22184. 2022-02-08 09:42:26,235:INFO:Preparing display monitor
  22185. 2022-02-08 16:02:29,206:INFO:PyCaret Supervised Module
  22186. 2022-02-08 16:02:29,206:INFO:ML Usecase: classification
  22187. 2022-02-08 16:02:29,206:INFO:version 2.3.6
  22188. 2022-02-08 16:02:29,206:INFO:Initializing setup()
  22189. 2022-02-08 16:02:29,206:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22190. 2022-02-08 16:02:29,206:INFO:Checking environment
  22191. 2022-02-08 16:02:29,207:INFO:python_version: 3.8.12
  22192. 2022-02-08 16:02:29,207:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
  22193. 2022-02-08 16:02:29,207:INFO:machine: AMD64
  22194. 2022-02-08 16:02:29,207:INFO:platform: Windows-10-10.0.22000-SP0
  22195. 2022-02-08 16:02:29,207:INFO:Memory: svmem(total=68629372928, available=49740906496, percent=27.5, used=18888466432, free=49740906496)
  22196. 2022-02-08 16:02:29,207:INFO:Physical Core: 16
  22197. 2022-02-08 16:02:29,207:INFO:Logical Core: 32
  22198. 2022-02-08 16:02:29,207:INFO:Checking libraries
  22199. 2022-02-08 16:02:29,207:INFO:pd==1.3.5
  22200. 2022-02-08 16:02:29,207:INFO:numpy==1.21.5
  22201. 2022-02-08 16:02:29,207:INFO:sklearn==0.23.2
  22202. 2022-02-08 16:02:29,207:INFO:lightgbm==3.3.2
  22203. 2022-02-08 16:02:29,412:INFO:catboost==1.0.4
  22204. 2022-02-08 16:02:29,748:INFO:xgboost==1.5.2
  22205. 2022-02-08 16:02:30,046:INFO:mlflow==1.23.1
  22206. 2022-02-08 16:02:30,047:INFO:Checking Exceptions
  22207. 2022-02-08 16:02:30,047:INFO:Declaring global variables
  22208. 2022-02-08 16:02:30,047:INFO:USI: a3a1
  22209. 2022-02-08 16:02:30,047:INFO:pycaret_globals: {'fix_imbalance_method_param', 'seed', 'imputation_classifier', 'fold_param', 'imputation_regressor', 'fix_imbalance_param', '_available_plots', 'exp_name_log', '_all_models', 'master_model_container', 'create_model_container', 'iterative_imputation_iters_param', 'USI', 'display_container', 'log_plots_param', 'data_before_preprocess', 'transform_target_param', 'prep_pipe', 'y_train', 'experiment__', 'X_train', 'pycaret_globals', 'X_test', 'target_param', 'fold_generator', 'fold_groups_param', 'X', '_internal_pipeline', 'fold_shuffle_param', '_all_metrics', 'fold_groups_param_full', '_all_models_internal', 'y', 'logging_param', 'y_test', '_gpu_n_jobs_param', 'n_jobs_param', '_ml_usecase', 'gpu_param', 'html_param', 'stratify_param', 'transform_target_method_param'}
  22210. 2022-02-08 16:02:30,047:INFO:Preparing display monitor
  22211. 2022-02-08 16:02:30,047:INFO:Preparing display monitor
  22212. 2022-02-08 16:02:30,057:INFO:Importing libraries
  22213. 2022-02-08 16:02:30,057:INFO:Copying data for preprocessing
  22214. 2022-02-08 16:02:30,062:INFO:Declaring preprocessing parameters
  22215. 2022-02-08 16:02:30,063:WARNING:cuML not found
  22216. 2022-02-08 16:02:30,063:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  22217. 2022-02-08 16:02:30,066:INFO:Creating preprocessing pipeline
  22218. 2022-02-08 16:02:30,118:INFO:Preprocessing pipeline created successfully
  22219. 2022-02-08 16:02:30,118:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22220. 2022-02-08 16:02:30,118:INFO:Creating global containers
  22221. 2022-02-08 16:02:30,121:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22222. 2022-02-08 16:02:31,384:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22223. 2022-02-08 16:02:31,419:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22224. 2022-02-08 16:02:31,421:WARNING:Couldn't import cuml.MBSGDClassifier
  22225. 2022-02-08 16:02:31,422:WARNING:Couldn't import cuml.svm.SVC
  22226. 2022-02-08 16:02:31,443:WARNING:Couldn't import cuml.linear_model
  22227. 2022-02-08 16:02:31,447:WARNING:Couldn't import cuml.ensemble
  22228. 2022-02-08 16:02:31,855:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22229. 2022-02-08 16:02:31,917:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22230. 2022-02-08 16:02:31,918:WARNING:Couldn't import cuml.MBSGDClassifier
  22231. 2022-02-08 16:02:31,919:WARNING:Couldn't import cuml.svm.SVC
  22232. 2022-02-08 16:02:31,952:WARNING:Couldn't import cuml.linear_model
  22233. 2022-02-08 16:02:31,956:WARNING:Couldn't import cuml.ensemble
  22234. 2022-02-08 16:02:32,098:INFO:Creating grid variables
  22235. 2022-02-08 16:02:32,111:INFO:create_model_container: 0
  22236. 2022-02-08 16:02:32,111:INFO:master_model_container: 0
  22237. 2022-02-08 16:02:32,111:INFO:display_container: 1
  22238. 2022-02-08 16:02:32,117:INFO:Pipeline(memory=None,
  22239. steps=[('dtypes',
  22240. DataTypes_Auto_infer(categorical_features=[],
  22241. display_types=True, features_todrop=[],
  22242. id_columns=[],
  22243. ml_usecase='classification',
  22244. numerical_features=[], target='label',
  22245. time_features=[])),
  22246. ('imputer',
  22247. Simple_Imputer(categorical_strategy='not_available',
  22248. fill_value_categorical=None,
  22249. fill_value_numerical=None,
  22250. numeric_strate...
  22251. target='label')),
  22252. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22253. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22254. ('dummy', Dummify(target='label')),
  22255. ('fix_perfect', Remove_100(target='label')),
  22256. ('clean_names', Clean_Colum_Names()),
  22257. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22258. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22259. verbose=False)
  22260. 2022-02-08 16:02:32,117:INFO:setup() succesfully completed......................................
  22261. 2022-02-08 16:03:55,539:INFO:Initializing load_model()
  22262. 2022-02-08 16:03:55,539:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22263. 2022-02-08 16:03:55,794:INFO:Initializing predict_model()
  22264. 2022-02-08 16:03:55,794:INFO:predict_model(estimator=Pipeline(memory=None,
  22265. steps=[('dtypes',
  22266. DataTypes_Auto_infer(categorical_features=[],
  22267. display_types=True, features_todrop=[],
  22268. id_columns=[],
  22269. ml_usecase='classification',
  22270. numerical_features=[], target='label',
  22271. time_features=[])),
  22272. ('imputer',
  22273. Simple_Imputer(categorical_strategy='not_available',
  22274. fill_value_categorical=None,
  22275. fill_value_numerical=None,
  22276. numeric_strate...
  22277. max_delta_step=0, max_depth=128, max_leaves=1024,
  22278. min_child_weight=1, missing=nan,
  22279. monotone_constraints='()', n_estimators=100,
  22280. n_jobs=-1, num_parallel_tree=1,
  22281. objective='binary:logistic', predictor='auto',
  22282. random_state=8985, reg_alpha=0, reg_lambda=1,
  22283. scale_pos_weight=1, subsample=1,
  22284. tree_method='gpu_hist', use_label_encoder=True,
  22285. validate_parameters=1, ...)]],
  22286. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22287. 2022-02-08 16:03:55,794:INFO:Checking exceptions
  22288. 2022-02-08 16:03:55,794:INFO:Preloading libraries
  22289. 2022-02-08 16:03:55,794:INFO:Preparing display monitor
  22290. 2022-02-08 16:04:11,126:INFO:Initializing load_model()
  22291. 2022-02-08 16:04:11,126:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22292. 2022-02-08 16:04:11,305:INFO:Initializing predict_model()
  22293. 2022-02-08 16:04:11,305:INFO:predict_model(estimator=Pipeline(memory=None,
  22294. steps=[('dtypes',
  22295. DataTypes_Auto_infer(categorical_features=[],
  22296. display_types=True, features_todrop=[],
  22297. id_columns=[],
  22298. ml_usecase='classification',
  22299. numerical_features=[], target='label',
  22300. time_features=[])),
  22301. ('imputer',
  22302. Simple_Imputer(categorical_strategy='not_available',
  22303. fill_value_categorical=None,
  22304. fill_value_numerical=None,
  22305. numeric_strate...
  22306. max_delta_step=0, max_depth=128, max_leaves=1024,
  22307. min_child_weight=1, missing=nan,
  22308. monotone_constraints='()', n_estimators=100,
  22309. n_jobs=-1, num_parallel_tree=1,
  22310. objective='binary:logistic', predictor='auto',
  22311. random_state=8985, reg_alpha=0, reg_lambda=1,
  22312. scale_pos_weight=1, subsample=1,
  22313. tree_method='gpu_hist', use_label_encoder=True,
  22314. validate_parameters=1, ...)]],
  22315. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22316. 2022-02-08 16:04:11,306:INFO:Checking exceptions
  22317. 2022-02-08 16:04:11,306:INFO:Preloading libraries
  22318. 2022-02-08 16:04:11,306:INFO:Preparing display monitor
  22319. 2022-02-08 16:04:27,078:INFO:Initializing load_model()
  22320. 2022-02-08 16:04:27,078:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22321. 2022-02-08 16:04:27,259:INFO:Initializing predict_model()
  22322. 2022-02-08 16:04:27,259:INFO:predict_model(estimator=Pipeline(memory=None,
  22323. steps=[('dtypes',
  22324. DataTypes_Auto_infer(categorical_features=[],
  22325. display_types=True, features_todrop=[],
  22326. id_columns=[],
  22327. ml_usecase='classification',
  22328. numerical_features=[], target='label',
  22329. time_features=[])),
  22330. ('imputer',
  22331. Simple_Imputer(categorical_strategy='not_available',
  22332. fill_value_categorical=None,
  22333. fill_value_numerical=None,
  22334. numeric_strate...
  22335. max_delta_step=0, max_depth=128, max_leaves=1024,
  22336. min_child_weight=1, missing=nan,
  22337. monotone_constraints='()', n_estimators=100,
  22338. n_jobs=-1, num_parallel_tree=1,
  22339. objective='binary:logistic', predictor='auto',
  22340. random_state=8985, reg_alpha=0, reg_lambda=1,
  22341. scale_pos_weight=1, subsample=1,
  22342. tree_method='gpu_hist', use_label_encoder=True,
  22343. validate_parameters=1, ...)]],
  22344. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22345. 2022-02-08 16:04:27,259:INFO:Checking exceptions
  22346. 2022-02-08 16:04:27,259:INFO:Preloading libraries
  22347. 2022-02-08 16:04:27,259:INFO:Preparing display monitor
  22348. 2022-02-08 16:04:59,823:INFO:Initializing load_model()
  22349. 2022-02-08 16:04:59,823:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22350. 2022-02-08 16:05:00,016:INFO:Initializing predict_model()
  22351. 2022-02-08 16:05:00,016:INFO:predict_model(estimator=Pipeline(memory=None,
  22352. steps=[('dtypes',
  22353. DataTypes_Auto_infer(categorical_features=[],
  22354. display_types=True, features_todrop=[],
  22355. id_columns=[],
  22356. ml_usecase='classification',
  22357. numerical_features=[], target='label',
  22358. time_features=[])),
  22359. ('imputer',
  22360. Simple_Imputer(categorical_strategy='not_available',
  22361. fill_value_categorical=None,
  22362. fill_value_numerical=None,
  22363. numeric_strate...
  22364. max_delta_step=0, max_depth=128, max_leaves=1024,
  22365. min_child_weight=1, missing=nan,
  22366. monotone_constraints='()', n_estimators=100,
  22367. n_jobs=-1, num_parallel_tree=1,
  22368. objective='binary:logistic', predictor='auto',
  22369. random_state=8985, reg_alpha=0, reg_lambda=1,
  22370. scale_pos_weight=1, subsample=1,
  22371. tree_method='gpu_hist', use_label_encoder=True,
  22372. validate_parameters=1, ...)]],
  22373. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22374. 2022-02-08 16:05:00,016:INFO:Checking exceptions
  22375. 2022-02-08 16:05:00,016:INFO:Preloading libraries
  22376. 2022-02-08 16:05:00,016:INFO:Preparing display monitor
  22377. 2022-02-08 16:05:07,611:INFO:Initializing load_model()
  22378. 2022-02-08 16:05:07,612:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22379. 2022-02-08 16:05:07,794:INFO:Initializing predict_model()
  22380. 2022-02-08 16:05:07,794:INFO:predict_model(estimator=Pipeline(memory=None,
  22381. steps=[('dtypes',
  22382. DataTypes_Auto_infer(categorical_features=[],
  22383. display_types=True, features_todrop=[],
  22384. id_columns=[],
  22385. ml_usecase='classification',
  22386. numerical_features=[], target='label',
  22387. time_features=[])),
  22388. ('imputer',
  22389. Simple_Imputer(categorical_strategy='not_available',
  22390. fill_value_categorical=None,
  22391. fill_value_numerical=None,
  22392. numeric_strate...
  22393. max_delta_step=0, max_depth=128, max_leaves=1024,
  22394. min_child_weight=1, missing=nan,
  22395. monotone_constraints='()', n_estimators=100,
  22396. n_jobs=-1, num_parallel_tree=1,
  22397. objective='binary:logistic', predictor='auto',
  22398. random_state=8985, reg_alpha=0, reg_lambda=1,
  22399. scale_pos_weight=1, subsample=1,
  22400. tree_method='gpu_hist', use_label_encoder=True,
  22401. validate_parameters=1, ...)]],
  22402. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22403. 2022-02-08 16:05:07,794:INFO:Checking exceptions
  22404. 2022-02-08 16:05:07,794:INFO:Preloading libraries
  22405. 2022-02-08 16:05:07,794:INFO:Preparing display monitor
  22406. 2022-02-08 16:05:12,357:INFO:Initializing load_model()
  22407. 2022-02-08 16:05:12,357:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22408. 2022-02-08 16:05:12,540:INFO:Initializing predict_model()
  22409. 2022-02-08 16:05:12,540:INFO:predict_model(estimator=Pipeline(memory=None,
  22410. steps=[('dtypes',
  22411. DataTypes_Auto_infer(categorical_features=[],
  22412. display_types=True, features_todrop=[],
  22413. id_columns=[],
  22414. ml_usecase='classification',
  22415. numerical_features=[], target='label',
  22416. time_features=[])),
  22417. ('imputer',
  22418. Simple_Imputer(categorical_strategy='not_available',
  22419. fill_value_categorical=None,
  22420. fill_value_numerical=None,
  22421. numeric_strate...
  22422. max_delta_step=0, max_depth=128, max_leaves=1024,
  22423. min_child_weight=1, missing=nan,
  22424. monotone_constraints='()', n_estimators=100,
  22425. n_jobs=-1, num_parallel_tree=1,
  22426. objective='binary:logistic', predictor='auto',
  22427. random_state=8985, reg_alpha=0, reg_lambda=1,
  22428. scale_pos_weight=1, subsample=1,
  22429. tree_method='gpu_hist', use_label_encoder=True,
  22430. validate_parameters=1, ...)]],
  22431. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22432. 2022-02-08 16:05:12,540:INFO:Checking exceptions
  22433. 2022-02-08 16:05:12,540:INFO:Preloading libraries
  22434. 2022-02-08 16:05:12,540:INFO:Preparing display monitor
  22435. 2022-02-08 16:05:21,474:INFO:Initializing load_model()
  22436. 2022-02-08 16:05:21,474:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22437. 2022-02-08 16:05:21,657:INFO:Initializing predict_model()
  22438. 2022-02-08 16:05:21,657:INFO:predict_model(estimator=Pipeline(memory=None,
  22439. steps=[('dtypes',
  22440. DataTypes_Auto_infer(categorical_features=[],
  22441. display_types=True, features_todrop=[],
  22442. id_columns=[],
  22443. ml_usecase='classification',
  22444. numerical_features=[], target='label',
  22445. time_features=[])),
  22446. ('imputer',
  22447. Simple_Imputer(categorical_strategy='not_available',
  22448. fill_value_categorical=None,
  22449. fill_value_numerical=None,
  22450. numeric_strate...
  22451. max_delta_step=0, max_depth=128, max_leaves=1024,
  22452. min_child_weight=1, missing=nan,
  22453. monotone_constraints='()', n_estimators=100,
  22454. n_jobs=-1, num_parallel_tree=1,
  22455. objective='binary:logistic', predictor='auto',
  22456. random_state=8985, reg_alpha=0, reg_lambda=1,
  22457. scale_pos_weight=1, subsample=1,
  22458. tree_method='gpu_hist', use_label_encoder=True,
  22459. validate_parameters=1, ...)]],
  22460. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22461. 2022-02-08 16:05:21,657:INFO:Checking exceptions
  22462. 2022-02-08 16:05:21,657:INFO:Preloading libraries
  22463. 2022-02-08 16:05:21,657:INFO:Preparing display monitor
  22464. 2022-02-08 16:15:36,621:INFO:PyCaret Supervised Module
  22465. 2022-02-08 16:15:36,621:INFO:ML Usecase: classification
  22466. 2022-02-08 16:15:36,621:INFO:version 2.3.6
  22467. 2022-02-08 16:15:36,621:INFO:Initializing setup()
  22468. 2022-02-08 16:15:36,622:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22469. 2022-02-08 16:15:36,622:INFO:Checking environment
  22470. 2022-02-08 16:15:36,622:INFO:python_version: 3.8.8
  22471. 2022-02-08 16:15:36,622:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22472. 2022-02-08 16:15:36,622:INFO:machine: x86_64
  22473. 2022-02-08 16:15:36,622:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22474. 2022-02-08 16:15:36,622:INFO:Memory: svmem(total=33619935232, available=30344781824, percent=9.7, used=2479808512, free=28949843968, active=691589120, inactive=3508965376, buffers=246317056, cached=1943965696, shared=383373312, slab=189956096)
  22475. 2022-02-08 16:15:36,623:INFO:Physical Core: 16
  22476. 2022-02-08 16:15:36,624:INFO:Logical Core: 32
  22477. 2022-02-08 16:15:36,624:INFO:Checking libraries
  22478. 2022-02-08 16:15:36,624:INFO:pd==1.2.4
  22479. 2022-02-08 16:15:36,624:INFO:numpy==1.19.5
  22480. 2022-02-08 16:15:36,624:INFO:sklearn==0.23.2
  22481. 2022-02-08 16:15:36,624:INFO:lightgbm==3.3.2
  22482. 2022-02-08 16:15:36,625:WARNING:catboost not found
  22483. 2022-02-08 16:15:36,661:INFO:xgboost==1.5.2
  22484. 2022-02-08 16:15:36,788:INFO:mlflow==1.22.0
  22485. 2022-02-08 16:15:36,789:INFO:Checking Exceptions
  22486. 2022-02-08 16:15:36,790:INFO:Declaring global variables
  22487. 2022-02-08 16:15:36,790:INFO:USI: 1750
  22488. 2022-02-08 16:15:36,791:INFO:pycaret_globals: {'experiment__', 'logging_param', 'y_test', 'imputation_classifier', 'exp_name_log', 'USI', 'X_test', '_all_metrics', 'master_model_container', 'n_jobs_param', '_ml_usecase', '_all_models', 'transform_target_param', '_internal_pipeline', 'fix_imbalance_param', 'pycaret_globals', 'y_train', 'fold_generator', 'prep_pipe', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param_full', 'seed', 'iterative_imputation_iters_param', 'imputation_regressor', 'X', 'fold_param', '_gpu_n_jobs_param', 'stratify_param', 'target_param', 'display_container', '_all_models_internal', 'fold_groups_param', 'y', 'html_param', '_available_plots', 'log_plots_param', 'transform_target_method_param', 'create_model_container', 'X_train', 'gpu_param', 'fix_imbalance_method_param'}
  22489. 2022-02-08 16:15:36,791:INFO:Preparing display monitor
  22490. 2022-02-08 16:15:36,791:INFO:Preparing display monitor
  22491. 2022-02-08 16:15:36,804:INFO:Importing libraries
  22492. 2022-02-08 16:15:36,804:INFO:Copying data for preprocessing
  22493. 2022-02-08 16:15:36,812:INFO:Declaring preprocessing parameters
  22494. 2022-02-08 16:15:36,817:INFO:Creating preprocessing pipeline
  22495. 2022-02-08 16:15:36,866:INFO:Preprocessing pipeline created successfully
  22496. 2022-02-08 16:15:36,866:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22497. 2022-02-08 16:15:36,866:INFO:Creating global containers
  22498. 2022-02-08 16:15:36,868:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22499. 2022-02-08 16:15:38,889:WARNING:Couldn't import catboost.CatBoostClassifier
  22500. 2022-02-08 16:15:38,935:WARNING:Couldn't import catboost.CatBoostClassifier
  22501. 2022-02-08 16:15:38,936:INFO:Creating grid variables
  22502. 2022-02-08 16:15:38,946:INFO:create_model_container: 0
  22503. 2022-02-08 16:15:38,946:INFO:master_model_container: 0
  22504. 2022-02-08 16:15:38,946:INFO:display_container: 1
  22505. 2022-02-08 16:15:38,949:INFO:Pipeline(memory=None,
  22506. steps=[('dtypes',
  22507. DataTypes_Auto_infer(categorical_features=[],
  22508. display_types=True, features_todrop=[],
  22509. id_columns=[],
  22510. ml_usecase='classification',
  22511. numerical_features=[], target='label',
  22512. time_features=[])),
  22513. ('imputer',
  22514. Simple_Imputer(categorical_strategy='not_available',
  22515. fill_value_categorical=None,
  22516. fill_value_numerical=None,
  22517. numeric_strate...
  22518. target='label')),
  22519. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22520. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22521. ('dummy', Dummify(target='label')),
  22522. ('fix_perfect', Remove_100(target='label')),
  22523. ('clean_names', Clean_Colum_Names()),
  22524. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22525. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22526. verbose=False)
  22527. 2022-02-08 16:15:38,949:INFO:setup() succesfully completed......................................
  22528. 2022-02-08 16:15:47,477:INFO:Initializing load_model()
  22529. 2022-02-08 16:15:47,477:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22530. 2022-02-08 16:16:34,967:INFO:PyCaret Supervised Module
  22531. 2022-02-08 16:16:34,967:INFO:ML Usecase: classification
  22532. 2022-02-08 16:16:34,968:INFO:version 2.3.6
  22533. 2022-02-08 16:16:34,968:INFO:Initializing setup()
  22534. 2022-02-08 16:16:34,968:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22535. 2022-02-08 16:16:34,968:INFO:Checking environment
  22536. 2022-02-08 16:16:34,969:INFO:python_version: 3.8.8
  22537. 2022-02-08 16:16:34,969:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22538. 2022-02-08 16:16:34,969:INFO:machine: x86_64
  22539. 2022-02-08 16:16:34,969:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22540. 2022-02-08 16:16:34,969:INFO:Memory: svmem(total=33619935232, available=30241427456, percent=10.0, used=2582982656, free=28838076416, active=691761152, inactive=3619647488, buffers=246452224, cached=1952423936, shared=383373312, slab=190590976)
  22541. 2022-02-08 16:16:34,970:INFO:Physical Core: 16
  22542. 2022-02-08 16:16:34,970:INFO:Logical Core: 32
  22543. 2022-02-08 16:16:34,970:INFO:Checking libraries
  22544. 2022-02-08 16:16:34,970:INFO:pd==1.2.4
  22545. 2022-02-08 16:16:34,971:INFO:numpy==1.19.5
  22546. 2022-02-08 16:16:34,971:INFO:sklearn==0.23.2
  22547. 2022-02-08 16:16:34,971:INFO:lightgbm==3.3.2
  22548. 2022-02-08 16:16:34,971:WARNING:catboost not found
  22549. 2022-02-08 16:16:34,972:INFO:xgboost==1.5.2
  22550. 2022-02-08 16:16:34,972:INFO:mlflow==1.22.0
  22551. 2022-02-08 16:16:34,972:INFO:Checking Exceptions
  22552. 2022-02-08 16:16:34,972:INFO:Declaring global variables
  22553. 2022-02-08 16:16:34,972:INFO:USI: 841b
  22554. 2022-02-08 16:16:34,972:INFO:pycaret_globals: {'experiment__', 'logging_param', 'y_test', 'imputation_classifier', 'exp_name_log', 'USI', 'X_test', '_all_metrics', 'master_model_container', 'n_jobs_param', '_ml_usecase', '_all_models', 'transform_target_param', '_internal_pipeline', 'fix_imbalance_param', 'pycaret_globals', 'y_train', 'fold_generator', 'prep_pipe', 'data_before_preprocess', 'fold_shuffle_param', 'fold_groups_param_full', 'seed', 'iterative_imputation_iters_param', 'imputation_regressor', 'X', 'fold_param', '_gpu_n_jobs_param', 'stratify_param', 'target_param', 'display_container', '_all_models_internal', 'fold_groups_param', 'y', 'html_param', '_available_plots', 'log_plots_param', 'transform_target_method_param', 'create_model_container', 'X_train', 'gpu_param', 'fix_imbalance_method_param'}
  22555. 2022-02-08 16:16:34,972:INFO:Preparing display monitor
  22556. 2022-02-08 16:16:34,973:INFO:Preparing display monitor
  22557. 2022-02-08 16:16:34,980:INFO:Importing libraries
  22558. 2022-02-08 16:16:34,980:INFO:Copying data for preprocessing
  22559. 2022-02-08 16:16:34,986:INFO:Declaring preprocessing parameters
  22560. 2022-02-08 16:16:34,986:WARNING:cuML not found
  22561. 2022-02-08 16:16:34,987:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
  22562. 2022-02-08 16:16:34,989:INFO:Creating preprocessing pipeline
  22563. 2022-02-08 16:16:35,034:INFO:Preprocessing pipeline created successfully
  22564. 2022-02-08 16:16:35,034:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22565. 2022-02-08 16:16:35,034:INFO:Creating global containers
  22566. 2022-02-08 16:16:35,035:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22567. 2022-02-08 16:16:36,864:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22568. 2022-02-08 16:16:36,892:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22569. 2022-02-08 16:16:36,892:WARNING:Couldn't import cuml.MBSGDClassifier
  22570. 2022-02-08 16:16:36,893:WARNING:Couldn't import cuml.svm.SVC
  22571. 2022-02-08 16:16:36,907:WARNING:Couldn't import cuml.linear_model
  22572. 2022-02-08 16:16:36,910:WARNING:Couldn't import cuml.ensemble
  22573. 2022-02-08 16:16:36,927:WARNING:Couldn't import catboost.CatBoostClassifier
  22574. 2022-02-08 16:16:36,927:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22575. 2022-02-08 16:16:36,957:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22576. 2022-02-08 16:16:36,957:WARNING:Couldn't import cuml.MBSGDClassifier
  22577. 2022-02-08 16:16:36,958:WARNING:Couldn't import cuml.svm.SVC
  22578. 2022-02-08 16:16:36,972:WARNING:Couldn't import cuml.linear_model
  22579. 2022-02-08 16:16:36,975:WARNING:Couldn't import cuml.ensemble
  22580. 2022-02-08 16:16:36,981:WARNING:Couldn't import catboost.CatBoostClassifier
  22581. 2022-02-08 16:16:36,981:INFO:Creating grid variables
  22582. 2022-02-08 16:16:36,992:INFO:create_model_container: 0
  22583. 2022-02-08 16:16:36,992:INFO:master_model_container: 0
  22584. 2022-02-08 16:16:36,992:INFO:display_container: 1
  22585. 2022-02-08 16:16:36,995:INFO:Pipeline(memory=None,
  22586. steps=[('dtypes',
  22587. DataTypes_Auto_infer(categorical_features=[],
  22588. display_types=True, features_todrop=[],
  22589. id_columns=[],
  22590. ml_usecase='classification',
  22591. numerical_features=[], target='label',
  22592. time_features=[])),
  22593. ('imputer',
  22594. Simple_Imputer(categorical_strategy='not_available',
  22595. fill_value_categorical=None,
  22596. fill_value_numerical=None,
  22597. numeric_strate...
  22598. target='label')),
  22599. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22600. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22601. ('dummy', Dummify(target='label')),
  22602. ('fix_perfect', Remove_100(target='label')),
  22603. ('clean_names', Clean_Colum_Names()),
  22604. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22605. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22606. verbose=False)
  22607. 2022-02-08 16:16:36,995:INFO:setup() succesfully completed......................................
  22608. 2022-02-08 16:16:46,664:INFO:Initializing create_model()
  22609. 2022-02-08 16:16:46,664:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  22610. 2022-02-08 16:16:46,664:INFO:Checking exceptions
  22611. 2022-02-08 16:16:46,664:INFO:Preparing display monitor
  22612. 2022-02-08 16:16:46,675:INFO:Importing libraries
  22613. 2022-02-08 16:16:46,676:INFO:Copying training dataset
  22614. 2022-02-08 16:16:46,677:INFO:Defining folds
  22615. 2022-02-08 16:16:46,677:INFO:Declaring metric variables
  22616. 2022-02-08 16:16:46,682:INFO:Importing untrained model
  22617. 2022-02-08 16:16:46,687:INFO:Extreme Gradient Boosting Imported succesfully
  22618. 2022-02-08 16:16:46,697:INFO:Starting cross validation
  22619. 2022-02-08 16:16:46,698:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  22620. 2022-02-08 16:16:48,405:INFO:Calculating mean and std
  22621. 2022-02-08 16:16:48,406:INFO:Creating metrics dataframe
  22622. 2022-02-08 16:16:48,414:INFO:Finalizing model
  22623. 2022-02-08 16:38:00,304:INFO:PyCaret Supervised Module
  22624. 2022-02-08 16:38:00,305:INFO:ML Usecase: classification
  22625. 2022-02-08 16:38:00,305:INFO:version 2.3.6
  22626. 2022-02-08 16:38:00,305:INFO:Initializing setup()
  22627. 2022-02-08 16:38:00,305:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22628. 2022-02-08 16:38:00,306:INFO:Checking environment
  22629. 2022-02-08 16:38:00,306:INFO:python_version: 3.8.8
  22630. 2022-02-08 16:38:00,306:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22631. 2022-02-08 16:38:00,306:INFO:machine: x86_64
  22632. 2022-02-08 16:38:00,306:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22633. 2022-02-08 16:38:00,306:INFO:Memory: svmem(total=33619935232, available=30308790272, percent=9.8, used=2455097344, free=24520638464, active=842280960, inactive=7638839296, buffers=327450624, cached=6316748800, shared=383373312, slab=334921728)
  22634. 2022-02-08 16:38:00,307:INFO:Physical Core: 16
  22635. 2022-02-08 16:38:00,307:INFO:Logical Core: 32
  22636. 2022-02-08 16:38:00,308:INFO:Checking libraries
  22637. 2022-02-08 16:38:00,308:INFO:pd==1.2.4
  22638. 2022-02-08 16:38:00,308:INFO:numpy==1.19.5
  22639. 2022-02-08 16:38:00,308:INFO:sklearn==0.23.2
  22640. 2022-02-08 16:38:00,308:INFO:lightgbm==3.3.2
  22641. 2022-02-08 16:38:00,309:WARNING:catboost not found
  22642. 2022-02-08 16:38:00,320:INFO:xgboost==1.4.2
  22643. 2022-02-08 16:38:00,448:INFO:mlflow==1.22.0
  22644. 2022-02-08 16:38:00,449:INFO:Checking Exceptions
  22645. 2022-02-08 16:38:00,449:INFO:Declaring global variables
  22646. 2022-02-08 16:38:00,450:INFO:USI: 452f
  22647. 2022-02-08 16:38:00,450:INFO:pycaret_globals: {'pycaret_globals', 'USI', '_ml_usecase', 'data_before_preprocess', 'prep_pipe', 'gpu_param', 'exp_name_log', 'stratify_param', 'n_jobs_param', 'transform_target_method_param', 'fold_generator', '_all_models_internal', 'fix_imbalance_param', 'create_model_container', 'imputation_regressor', 'X', 'experiment__', 'display_container', 'fix_imbalance_method_param', 'y', 'y_train', '_all_metrics', 'fold_shuffle_param', 'y_test', 'log_plots_param', 'fold_param', '_internal_pipeline', 'master_model_container', 'seed', 'X_test', 'html_param', 'transform_target_param', 'fold_groups_param', '_gpu_n_jobs_param', 'fold_groups_param_full', '_all_models', 'target_param', '_available_plots', 'iterative_imputation_iters_param', 'logging_param', 'X_train', 'imputation_classifier'}
  22648. 2022-02-08 16:38:00,450:INFO:Preparing display monitor
  22649. 2022-02-08 16:38:00,450:INFO:Preparing display monitor
  22650. 2022-02-08 16:38:00,460:INFO:Importing libraries
  22651. 2022-02-08 16:38:00,460:INFO:Copying data for preprocessing
  22652. 2022-02-08 16:38:00,467:INFO:Declaring preprocessing parameters
  22653. 2022-02-08 16:38:00,468:WARNING:cuML not found
  22654. 2022-02-08 16:38:00,468:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  22655. 2022-02-08 16:38:00,474:INFO:Creating preprocessing pipeline
  22656. 2022-02-08 16:38:00,520:INFO:Preprocessing pipeline created successfully
  22657. 2022-02-08 16:38:00,520:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22658. 2022-02-08 16:38:00,521:INFO:Creating global containers
  22659. 2022-02-08 16:38:00,521:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22660. 2022-02-08 16:38:02,380:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22661. 2022-02-08 16:38:02,409:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22662. 2022-02-08 16:38:02,410:WARNING:Couldn't import cuml.MBSGDClassifier
  22663. 2022-02-08 16:38:02,411:WARNING:Couldn't import cuml.svm.SVC
  22664. 2022-02-08 16:38:02,428:WARNING:Couldn't import cuml.linear_model
  22665. 2022-02-08 16:38:02,431:WARNING:Couldn't import cuml.ensemble
  22666. 2022-02-08 16:38:02,441:WARNING:Couldn't import catboost.CatBoostClassifier
  22667. 2022-02-08 16:38:02,442:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22668. 2022-02-08 16:38:02,473:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22669. 2022-02-08 16:38:02,474:WARNING:Couldn't import cuml.MBSGDClassifier
  22670. 2022-02-08 16:38:02,475:WARNING:Couldn't import cuml.svm.SVC
  22671. 2022-02-08 16:38:02,490:WARNING:Couldn't import cuml.linear_model
  22672. 2022-02-08 16:38:02,493:WARNING:Couldn't import cuml.ensemble
  22673. 2022-02-08 16:38:02,501:WARNING:Couldn't import catboost.CatBoostClassifier
  22674. 2022-02-08 16:38:02,502:INFO:Creating grid variables
  22675. 2022-02-08 16:38:02,514:INFO:create_model_container: 0
  22676. 2022-02-08 16:38:02,514:INFO:master_model_container: 0
  22677. 2022-02-08 16:38:02,515:INFO:display_container: 1
  22678. 2022-02-08 16:38:02,518:INFO:Pipeline(memory=None,
  22679. steps=[('dtypes',
  22680. DataTypes_Auto_infer(categorical_features=[],
  22681. display_types=True, features_todrop=[],
  22682. id_columns=[],
  22683. ml_usecase='classification',
  22684. numerical_features=[], target='label',
  22685. time_features=[])),
  22686. ('imputer',
  22687. Simple_Imputer(categorical_strategy='not_available',
  22688. fill_value_categorical=None,
  22689. fill_value_numerical=None,
  22690. numeric_strate...
  22691. target='label')),
  22692. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22693. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22694. ('dummy', Dummify(target='label')),
  22695. ('fix_perfect', Remove_100(target='label')),
  22696. ('clean_names', Clean_Colum_Names()),
  22697. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22698. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22699. verbose=False)
  22700. 2022-02-08 16:38:02,518:INFO:setup() succesfully completed......................................
  22701. 2022-02-08 16:38:05,703:INFO:Initializing create_model()
  22702. 2022-02-08 16:38:05,704:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  22703. 2022-02-08 16:38:05,704:INFO:Checking exceptions
  22704. 2022-02-08 16:38:05,704:INFO:Preparing display monitor
  22705. 2022-02-08 16:38:05,716:INFO:Importing libraries
  22706. 2022-02-08 16:38:05,716:INFO:Copying training dataset
  22707. 2022-02-08 16:38:05,718:INFO:Defining folds
  22708. 2022-02-08 16:38:05,718:INFO:Declaring metric variables
  22709. 2022-02-08 16:38:05,724:INFO:Importing untrained model
  22710. 2022-02-08 16:38:05,730:INFO:Extreme Gradient Boosting Imported succesfully
  22711. 2022-02-08 16:38:05,743:INFO:Starting cross validation
  22712. 2022-02-08 16:38:05,744:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  22713. 2022-02-08 16:38:06,328:INFO:Calculating mean and std
  22714. 2022-02-08 16:38:06,329:INFO:Creating metrics dataframe
  22715. 2022-02-08 16:38:06,338:INFO:Finalizing model
  22716. 2022-02-08 16:40:02,413:INFO:PyCaret Supervised Module
  22717. 2022-02-08 16:40:02,413:INFO:ML Usecase: classification
  22718. 2022-02-08 16:40:02,414:INFO:version 2.3.6
  22719. 2022-02-08 16:40:02,414:INFO:Initializing setup()
  22720. 2022-02-08 16:40:02,414:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=True, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22721. 2022-02-08 16:40:02,414:INFO:Checking environment
  22722. 2022-02-08 16:40:02,414:INFO:python_version: 3.8.8
  22723. 2022-02-08 16:40:02,418:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22724. 2022-02-08 16:40:02,418:INFO:machine: x86_64
  22725. 2022-02-08 16:40:02,418:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22726. 2022-02-08 16:40:02,419:INFO:Memory: svmem(total=33619935232, available=30331043840, percent=9.8, used=2432843776, free=24533135360, active=917094400, inactive=7547666432, buffers=329220096, cached=6324736000, shared=383373312, slab=337035264)
  22727. 2022-02-08 16:40:02,420:INFO:Physical Core: 16
  22728. 2022-02-08 16:40:02,420:INFO:Logical Core: 32
  22729. 2022-02-08 16:40:02,420:INFO:Checking libraries
  22730. 2022-02-08 16:40:02,420:INFO:pd==1.2.4
  22731. 2022-02-08 16:40:02,425:INFO:numpy==1.19.5
  22732. 2022-02-08 16:40:02,426:INFO:sklearn==0.23.2
  22733. 2022-02-08 16:40:02,426:INFO:lightgbm==3.3.2
  22734. 2022-02-08 16:40:02,427:WARNING:catboost not found
  22735. 2022-02-08 16:40:02,438:INFO:xgboost==1.4.2
  22736. 2022-02-08 16:40:02,570:INFO:mlflow==1.22.0
  22737. 2022-02-08 16:40:02,570:INFO:Checking Exceptions
  22738. 2022-02-08 16:40:02,571:INFO:Declaring global variables
  22739. 2022-02-08 16:40:02,571:INFO:USI: d47a
  22740. 2022-02-08 16:40:02,571:INFO:pycaret_globals: {'transform_target_param', 'fold_generator', 'X_train', 'logging_param', 'stratify_param', 'imputation_classifier', 'display_container', 'iterative_imputation_iters_param', 'html_param', '_ml_usecase', 'transform_target_method_param', 'fold_groups_param_full', 'fold_param', 'master_model_container', 'y_test', 'gpu_param', 'seed', '_internal_pipeline', 'pycaret_globals', '_gpu_n_jobs_param', 'data_before_preprocess', 'X_test', 'n_jobs_param', 'exp_name_log', 'y', 'y_train', 'fold_shuffle_param', 'fix_imbalance_param', '_available_plots', 'experiment__', 'fold_groups_param', 'prep_pipe', 'USI', '_all_models', 'X', 'target_param', '_all_models_internal', 'log_plots_param', '_all_metrics', 'imputation_regressor', 'create_model_container', 'fix_imbalance_method_param'}
  22741. 2022-02-08 16:40:02,571:INFO:Preparing display monitor
  22742. 2022-02-08 16:40:02,572:INFO:Preparing display monitor
  22743. 2022-02-08 16:40:02,581:INFO:Importing libraries
  22744. 2022-02-08 16:40:02,582:INFO:Copying data for preprocessing
  22745. 2022-02-08 16:40:02,588:INFO:Declaring preprocessing parameters
  22746. 2022-02-08 16:40:02,589:WARNING:cuML not found
  22747. 2022-02-08 16:40:02,589:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
  22748. 2022-02-08 16:40:02,594:INFO:Creating preprocessing pipeline
  22749. 2022-02-08 16:40:02,645:INFO:Preprocessing pipeline created successfully
  22750. 2022-02-08 16:40:02,645:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22751. 2022-02-08 16:40:02,646:INFO:Creating global containers
  22752. 2022-02-08 16:40:02,646:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22753. 2022-02-08 16:40:03,806:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22754. 2022-02-08 16:40:03,835:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22755. 2022-02-08 16:40:03,837:WARNING:Couldn't import cuml.MBSGDClassifier
  22756. 2022-02-08 16:40:03,838:WARNING:Couldn't import cuml.svm.SVC
  22757. 2022-02-08 16:40:03,856:WARNING:Couldn't import cuml.linear_model
  22758. 2022-02-08 16:40:03,859:WARNING:Couldn't import cuml.ensemble
  22759. 2022-02-08 16:40:03,868:WARNING:Couldn't import catboost.CatBoostClassifier
  22760. 2022-02-08 16:40:03,869:WARNING:Couldn't import cuml.linear_model.LogisticRegression
  22761. 2022-02-08 16:40:03,901:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
  22762. 2022-02-08 16:40:03,901:WARNING:Couldn't import cuml.MBSGDClassifier
  22763. 2022-02-08 16:40:03,902:WARNING:Couldn't import cuml.svm.SVC
  22764. 2022-02-08 16:40:03,917:WARNING:Couldn't import cuml.linear_model
  22765. 2022-02-08 16:40:03,921:WARNING:Couldn't import cuml.ensemble
  22766. 2022-02-08 16:40:03,933:WARNING:Couldn't import catboost.CatBoostClassifier
  22767. 2022-02-08 16:40:03,934:INFO:Creating grid variables
  22768. 2022-02-08 16:40:03,949:INFO:create_model_container: 0
  22769. 2022-02-08 16:40:03,949:INFO:master_model_container: 0
  22770. 2022-02-08 16:40:03,949:INFO:display_container: 1
  22771. 2022-02-08 16:40:03,953:INFO:Pipeline(memory=None,
  22772. steps=[('dtypes',
  22773. DataTypes_Auto_infer(categorical_features=[],
  22774. display_types=True, features_todrop=[],
  22775. id_columns=[],
  22776. ml_usecase='classification',
  22777. numerical_features=[], target='label',
  22778. time_features=[])),
  22779. ('imputer',
  22780. Simple_Imputer(categorical_strategy='not_available',
  22781. fill_value_categorical=None,
  22782. fill_value_numerical=None,
  22783. numeric_strate...
  22784. target='label')),
  22785. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22786. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22787. ('dummy', Dummify(target='label')),
  22788. ('fix_perfect', Remove_100(target='label')),
  22789. ('clean_names', Clean_Colum_Names()),
  22790. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22791. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22792. verbose=False)
  22793. 2022-02-08 16:40:03,953:INFO:setup() succesfully completed......................................
  22794. 2022-02-08 16:40:13,380:INFO:Initializing create_model()
  22795. 2022-02-08 16:40:13,380:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  22796. 2022-02-08 16:40:13,380:INFO:Checking exceptions
  22797. 2022-02-08 16:40:13,380:INFO:Preparing display monitor
  22798. 2022-02-08 16:40:13,392:INFO:Importing libraries
  22799. 2022-02-08 16:40:13,392:INFO:Copying training dataset
  22800. 2022-02-08 16:40:13,393:INFO:Defining folds
  22801. 2022-02-08 16:40:13,393:INFO:Declaring metric variables
  22802. 2022-02-08 16:40:13,399:INFO:Importing untrained model
  22803. 2022-02-08 16:40:13,404:INFO:Extreme Gradient Boosting Imported succesfully
  22804. 2022-02-08 16:40:13,415:INFO:Starting cross validation
  22805. 2022-02-08 16:40:13,416:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
  22806. 2022-02-08 16:40:13,963:INFO:Calculating mean and std
  22807. 2022-02-08 16:40:13,964:INFO:Creating metrics dataframe
  22808. 2022-02-08 16:40:13,972:INFO:Finalizing model
  22809. 2022-02-08 17:04:46,485:INFO:PyCaret Supervised Module
  22810. 2022-02-08 17:04:46,486:INFO:ML Usecase: classification
  22811. 2022-02-08 17:04:46,486:INFO:version 2.3.6
  22812. 2022-02-08 17:04:46,486:INFO:Initializing setup()
  22813. 2022-02-08 17:04:46,486:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22814. 2022-02-08 17:04:46,486:INFO:Checking environment
  22815. 2022-02-08 17:04:46,487:INFO:python_version: 3.8.8
  22816. 2022-02-08 17:04:46,487:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22817. 2022-02-08 17:04:46,487:INFO:machine: x86_64
  22818. 2022-02-08 17:04:46,487:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22819. 2022-02-08 17:04:46,487:INFO:Memory: svmem(total=33619935232, available=29897719808, percent=11.1, used=2802528256, free=23712018432, active=1023295488, inactive=8243126272, buffers=349220864, cached=6756167680, shared=447012864, slab=356790272)
  22820. 2022-02-08 17:04:46,488:INFO:Physical Core: 16
  22821. 2022-02-08 17:04:46,488:INFO:Logical Core: 32
  22822. 2022-02-08 17:04:46,488:INFO:Checking libraries
  22823. 2022-02-08 17:04:46,489:INFO:pd==1.2.4
  22824. 2022-02-08 17:04:46,489:INFO:numpy==1.19.5
  22825. 2022-02-08 17:04:46,489:INFO:sklearn==0.23.2
  22826. 2022-02-08 17:04:46,489:INFO:lightgbm==3.3.2
  22827. 2022-02-08 17:04:46,490:WARNING:catboost not found
  22828. 2022-02-08 17:04:46,490:INFO:xgboost==1.4.2
  22829. 2022-02-08 17:04:46,490:INFO:mlflow==1.22.0
  22830. 2022-02-08 17:04:46,491:INFO:Checking Exceptions
  22831. 2022-02-08 17:04:46,491:INFO:Declaring global variables
  22832. 2022-02-08 17:04:46,491:INFO:USI: 2fe2
  22833. 2022-02-08 17:04:46,491:INFO:pycaret_globals: {'transform_target_param', 'fold_generator', 'X_train', 'logging_param', 'stratify_param', 'imputation_classifier', 'display_container', 'iterative_imputation_iters_param', 'html_param', '_ml_usecase', 'transform_target_method_param', 'fold_groups_param_full', 'fold_param', 'master_model_container', 'y_test', 'gpu_param', 'seed', '_internal_pipeline', 'pycaret_globals', '_gpu_n_jobs_param', 'data_before_preprocess', 'X_test', 'n_jobs_param', 'exp_name_log', 'y', 'y_train', 'fold_shuffle_param', 'fix_imbalance_param', '_available_plots', 'experiment__', 'fold_groups_param', 'prep_pipe', 'USI', '_all_models', 'X', 'target_param', '_all_models_internal', 'log_plots_param', '_all_metrics', 'imputation_regressor', 'create_model_container', 'fix_imbalance_method_param'}
  22834. 2022-02-08 17:04:46,491:INFO:Preparing display monitor
  22835. 2022-02-08 17:04:46,491:INFO:Preparing display monitor
  22836. 2022-02-08 17:04:46,501:INFO:Importing libraries
  22837. 2022-02-08 17:04:46,501:INFO:Copying data for preprocessing
  22838. 2022-02-08 17:04:46,510:INFO:Declaring preprocessing parameters
  22839. 2022-02-08 17:04:46,512:INFO:Creating preprocessing pipeline
  22840. 2022-02-08 17:04:46,557:INFO:Preprocessing pipeline created successfully
  22841. 2022-02-08 17:04:46,557:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22842. 2022-02-08 17:04:46,557:INFO:Creating global containers
  22843. 2022-02-08 17:04:46,558:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22844. 2022-02-08 17:04:48,394:WARNING:Couldn't import catboost.CatBoostClassifier
  22845. 2022-02-08 17:04:48,441:WARNING:Couldn't import catboost.CatBoostClassifier
  22846. 2022-02-08 17:04:48,441:INFO:Creating grid variables
  22847. 2022-02-08 17:04:48,451:INFO:create_model_container: 0
  22848. 2022-02-08 17:04:48,451:INFO:master_model_container: 0
  22849. 2022-02-08 17:04:48,451:INFO:display_container: 1
  22850. 2022-02-08 17:04:48,454:INFO:Pipeline(memory=None,
  22851. steps=[('dtypes',
  22852. DataTypes_Auto_infer(categorical_features=[],
  22853. display_types=True, features_todrop=[],
  22854. id_columns=[],
  22855. ml_usecase='classification',
  22856. numerical_features=[], target='label',
  22857. time_features=[])),
  22858. ('imputer',
  22859. Simple_Imputer(categorical_strategy='not_available',
  22860. fill_value_categorical=None,
  22861. fill_value_numerical=None,
  22862. numeric_strate...
  22863. target='label')),
  22864. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22865. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22866. ('dummy', Dummify(target='label')),
  22867. ('fix_perfect', Remove_100(target='label')),
  22868. ('clean_names', Clean_Colum_Names()),
  22869. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22870. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22871. verbose=False)
  22872. 2022-02-08 17:04:48,454:INFO:setup() succesfully completed......................................
  22873. 2022-02-08 17:04:53,768:INFO:Initializing create_model()
  22874. 2022-02-08 17:04:53,768:INFO:create_model(estimator=xgboost, fold=None, round=4, cross_validation=True, predict=True, fit_kwargs=None, groups=None, refit=True, verbose=True, system=True, metrics=None, add_to_model_list=True, probability_threshold=None, display=None, kwargs={'max_depth': 8, 'max_leaves': 256})
  22875. 2022-02-08 17:04:53,769:INFO:Checking exceptions
  22876. 2022-02-08 17:04:53,769:INFO:Preparing display monitor
  22877. 2022-02-08 17:04:53,780:INFO:Importing libraries
  22878. 2022-02-08 17:04:53,780:INFO:Copying training dataset
  22879. 2022-02-08 17:04:53,781:INFO:Defining folds
  22880. 2022-02-08 17:04:53,781:INFO:Declaring metric variables
  22881. 2022-02-08 17:04:53,786:INFO:Importing untrained model
  22882. 2022-02-08 17:04:53,792:INFO:Extreme Gradient Boosting Imported succesfully
  22883. 2022-02-08 17:04:53,802:INFO:Starting cross validation
  22884. 2022-02-08 17:04:53,803:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
  22885. 2022-02-08 17:10:57,927:INFO:Initializing load_model()
  22886. 2022-02-08 17:10:57,928:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22887. 2022-02-08 17:16:46,082:INFO:PyCaret Supervised Module
  22888. 2022-02-08 17:16:46,082:INFO:ML Usecase: classification
  22889. 2022-02-08 17:16:46,083:INFO:version 2.3.6
  22890. 2022-02-08 17:16:46,083:INFO:Initializing setup()
  22891. 2022-02-08 17:16:46,083:INFO:setup(target=label, ml_usecase=classification, available_plots={'parameter': 'Hyperparameters', 'auc': 'AUC', 'confusion_matrix': 'Confusion Matrix', 'threshold': 'Threshold', 'pr': 'Precision Recall', 'error': 'Prediction Error', 'class_report': 'Class Report', 'rfe': 'Feature Selection', 'learning': 'Learning Curve', 'manifold': 'Manifold Learning', 'calibration': 'Calibration Curve', 'vc': 'Validation Curve', 'dimension': 'Dimensions', 'feature': 'Feature Importance', 'feature_all': 'Feature Importance (All)', 'boundary': 'Decision Boundary', 'lift': 'Lift Chart', 'gain': 'Gain Chart', 'tree': 'Decision Tree', 'ks': 'KS Statistic Plot'}, train_size=0.7, test_data=None, preprocess=True, imputation_type=simple, iterative_imputation_iters=5, categorical_features=None, categorical_imputation=constant, categorical_iterative_imputer=lightgbm, ordinal_features=None, high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, numeric_iterative_imputer=lightgbm, date_features=None, ignore_features=None, normalize=True, normalize_method=zscore, transformation=False, transformation_method=yeo-johnson, handle_unknown_categorical=True, unknown_categorical_method=least_frequent, pca=False, pca_method=linear, pca_components=None, ignore_low_variance=False, combine_rare_levels=False, rare_level_threshold=0.1, bin_numeric_features=None, remove_outliers=False, outliers_threshold=0.05, remove_multicollinearity=False, multicollinearity_threshold=0.9, remove_perfect_collinearity=True, create_clusters=False, cluster_iter=20, polynomial_features=False, polynomial_degree=2, trigonometry_features=False, polynomial_threshold=0.1, group_features=None, group_names=None, feature_selection=False, feature_selection_threshold=0.8, feature_selection_method=classic, feature_interaction=False, feature_ratio=False, interaction_threshold=0.01, fix_imbalance=False, fix_imbalance_method=None, transform_target=False, transform_target_method=box-cox, data_split_shuffle=True, data_split_stratify=False, fold_strategy=stratifiedkfold, fold=10, fold_shuffle=False, fold_groups=None, n_jobs=-1, use_gpu=False, custom_pipeline=None, html=True, session_id=None, log_experiment=False, experiment_name=None, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False, profile_kwargs=None, display=None)
  22892. 2022-02-08 17:16:46,083:INFO:Checking environment
  22893. 2022-02-08 17:16:46,083:INFO:python_version: 3.8.8
  22894. 2022-02-08 17:16:46,083:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
  22895. 2022-02-08 17:16:46,084:INFO:machine: x86_64
  22896. 2022-02-08 17:16:46,084:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
  22897. 2022-02-08 17:16:46,084:INFO:Memory: svmem(total=33619935232, available=30270722048, percent=10.0, used=2493157376, free=24022044672, active=1112064000, inactive=7836545024, buffers=352624640, cached=6752108544, shared=383373312, slab=363368448)
  22898. 2022-02-08 17:16:46,085:INFO:Physical Core: 16
  22899. 2022-02-08 17:16:46,085:INFO:Logical Core: 32
  22900. 2022-02-08 17:16:46,085:INFO:Checking libraries
  22901. 2022-02-08 17:16:46,085:INFO:pd==1.3.0
  22902. 2022-02-08 17:16:46,085:INFO:numpy==1.19.5
  22903. 2022-02-08 17:16:46,085:INFO:sklearn==0.23.2
  22904. 2022-02-08 17:16:46,086:INFO:lightgbm==3.3.2
  22905. 2022-02-08 17:16:46,086:WARNING:catboost not found
  22906. 2022-02-08 17:16:46,096:INFO:xgboost==1.4.2
  22907. 2022-02-08 17:16:46,218:INFO:mlflow==1.22.0
  22908. 2022-02-08 17:16:46,219:INFO:Checking Exceptions
  22909. 2022-02-08 17:16:46,219:INFO:Declaring global variables
  22910. 2022-02-08 17:16:46,220:INFO:USI: e30c
  22911. 2022-02-08 17:16:46,220:INFO:pycaret_globals: {'fold_generator', 'imputation_classifier', '_available_plots', 'gpu_param', 'X_test', 'data_before_preprocess', 'experiment__', 'create_model_container', 'stratify_param', 'y', 'prep_pipe', '_all_models_internal', 'n_jobs_param', '_all_metrics', 'seed', 'html_param', '_internal_pipeline', 'target_param', 'display_container', 'master_model_container', '_gpu_n_jobs_param', 'fold_groups_param', 'fold_param', 'transform_target_method_param', 'y_train', 'transform_target_param', 'y_test', '_all_models', 'USI', 'iterative_imputation_iters_param', 'imputation_regressor', 'exp_name_log', 'fix_imbalance_method_param', 'fix_imbalance_param', 'logging_param', 'fold_groups_param_full', 'X_train', 'X', 'pycaret_globals', 'log_plots_param', '_ml_usecase', 'fold_shuffle_param'}
  22912. 2022-02-08 17:16:46,220:INFO:Preparing display monitor
  22913. 2022-02-08 17:16:46,220:INFO:Preparing display monitor
  22914. 2022-02-08 17:16:46,229:INFO:Importing libraries
  22915. 2022-02-08 17:16:46,229:INFO:Copying data for preprocessing
  22916. 2022-02-08 17:16:46,235:INFO:Declaring preprocessing parameters
  22917. 2022-02-08 17:16:46,239:INFO:Creating preprocessing pipeline
  22918. 2022-02-08 17:16:46,284:INFO:Preprocessing pipeline created successfully
  22919. 2022-02-08 17:16:46,284:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
  22920. 2022-02-08 17:16:46,284:INFO:Creating global containers
  22921. 2022-02-08 17:16:46,285:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
  22922. 2022-02-08 17:16:48,310:WARNING:Couldn't import catboost.CatBoostClassifier
  22923. 2022-02-08 17:16:48,358:WARNING:Couldn't import catboost.CatBoostClassifier
  22924. 2022-02-08 17:16:48,359:INFO:Creating grid variables
  22925. 2022-02-08 17:16:48,367:INFO:create_model_container: 0
  22926. 2022-02-08 17:16:48,367:INFO:master_model_container: 0
  22927. 2022-02-08 17:16:48,367:INFO:display_container: 1
  22928. 2022-02-08 17:16:48,370:INFO:Pipeline(memory=None,
  22929. steps=[('dtypes',
  22930. DataTypes_Auto_infer(categorical_features=[],
  22931. display_types=True, features_todrop=[],
  22932. id_columns=[],
  22933. ml_usecase='classification',
  22934. numerical_features=[], target='label',
  22935. time_features=[])),
  22936. ('imputer',
  22937. Simple_Imputer(categorical_strategy='not_available',
  22938. fill_value_categorical=None,
  22939. fill_value_numerical=None,
  22940. numeric_strate...
  22941. target='label')),
  22942. ('P_transform', 'passthrough'), ('binn', 'passthrough'),
  22943. ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
  22944. ('dummy', Dummify(target='label')),
  22945. ('fix_perfect', Remove_100(target='label')),
  22946. ('clean_names', Clean_Colum_Names()),
  22947. ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
  22948. ('dfs', 'passthrough'), ('pca', 'passthrough')],
  22949. verbose=False)
  22950. 2022-02-08 17:16:48,370:INFO:setup() succesfully completed......................................
  22951. 2022-02-08 17:16:53,614:INFO:Initializing load_model()
  22952. 2022-02-08 17:16:53,615:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22953. 2022-02-08 17:16:53,889:INFO:Initializing predict_model()
  22954. 2022-02-08 17:16:53,889:INFO:predict_model(estimator=Pipeline(memory=None,
  22955. steps=[('dtypes',
  22956. DataTypes_Auto_infer(categorical_features=[],
  22957. display_types=True, features_todrop=[],
  22958. id_columns=[],
  22959. ml_usecase='classification',
  22960. numerical_features=[], target='label',
  22961. time_features=[])),
  22962. ('imputer',
  22963. Simple_Imputer(categorical_strategy='not_available',
  22964. fill_value_categorical=None,
  22965. fill_value_numerical=None,
  22966. numeric_strate...
  22967. learning_rate=0.05, max_delta_step=0,
  22968. max_depth=128, max_leaves=1024,
  22969. min_child_weight=1, missing=nan,
  22970. monotone_constraints='()', n_estimators=100,
  22971. n_jobs=-1, num_parallel_tree=1,
  22972. objective='binary:logistic', random_state=8985,
  22973. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  22974. subsample=1, tree_method='gpu_hist',
  22975. use_label_encoder=True, validate_parameters=1,
  22976. verbosity=0)]],
  22977. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  22978. 2022-02-08 17:16:53,889:INFO:Checking exceptions
  22979. 2022-02-08 17:16:53,890:INFO:Preloading libraries
  22980. 2022-02-08 17:16:53,890:INFO:Preparing display monitor
  22981. 2022-02-08 17:18:25,948:INFO:Initializing load_model()
  22982. 2022-02-08 17:18:25,949:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  22983. 2022-02-08 17:18:26,098:INFO:Initializing predict_model()
  22984. 2022-02-08 17:18:26,098:INFO:predict_model(estimator=Pipeline(memory=None,
  22985. steps=[('dtypes',
  22986. DataTypes_Auto_infer(categorical_features=[],
  22987. display_types=True, features_todrop=[],
  22988. id_columns=[],
  22989. ml_usecase='classification',
  22990. numerical_features=[], target='label',
  22991. time_features=[])),
  22992. ('imputer',
  22993. Simple_Imputer(categorical_strategy='not_available',
  22994. fill_value_categorical=None,
  22995. fill_value_numerical=None,
  22996. numeric_strate...
  22997. learning_rate=0.05, max_delta_step=0,
  22998. max_depth=128, max_leaves=1024,
  22999. min_child_weight=1, missing=nan,
  23000. monotone_constraints='()', n_estimators=100,
  23001. n_jobs=-1, num_parallel_tree=1,
  23002. objective='binary:logistic', random_state=8985,
  23003. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23004. subsample=1, tree_method='gpu_hist',
  23005. use_label_encoder=True, validate_parameters=1,
  23006. verbosity=0)]],
  23007. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23008. 2022-02-08 17:18:26,098:INFO:Checking exceptions
  23009. 2022-02-08 17:18:26,098:INFO:Preloading libraries
  23010. 2022-02-08 17:18:26,098:INFO:Preparing display monitor
  23011. 2022-02-08 17:18:39,712:INFO:Initializing load_model()
  23012. 2022-02-08 17:18:39,713:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
  23013. 2022-02-08 17:18:39,845:INFO:Initializing predict_model()
  23014. 2022-02-08 17:18:39,845:INFO:predict_model(estimator=Pipeline(memory=None,
  23015. steps=[('dtypes',
  23016. DataTypes_Auto_infer(categorical_features=[],
  23017. display_types=True, features_todrop=[],
  23018. id_columns=[],
  23019. ml_usecase='classification',
  23020. numerical_features=[], target='label',
  23021. time_features=[])),
  23022. ('imputer',
  23023. Simple_Imputer(categorical_strategy='not_available',
  23024. fill_value_categorical=None,
  23025. fill_value_numerical=None,
  23026. numeric_strate...
  23027. learning_rate=0.05, max_delta_step=0,
  23028. max_depth=128, max_leaves=1024,
  23029. min_child_weight=1, missing=nan,
  23030. monotone_constraints='()', n_estimators=100,
  23031. n_jobs=-1, num_parallel_tree=1,
  23032. objective='binary:logistic', random_state=8985,
  23033. reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
  23034. subsample=1, tree_method='gpu_hist',
  23035. use_label_encoder=True, validate_parameters=1,
  23036. verbosity=0)]],
  23037. verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
  23038. 2022-02-08 17:18:39,846:INFO:Checking exceptions
  23039. 2022-02-08 17:18:39,846:INFO:Preloading libraries
  23040. 2022-02-08 17:18:39,846:INFO:Preparing display monitor