{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%pip install librosa\n", "%pip install xgboost\n", "%pip install pandas\n", "%pip install pycaret\n", "%pip install fastapi\n", "%pip install uvicorn" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import datetime\n", "import string\n", "import random\n", "from pycaret.classification import *" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", " | Description | \n", "Value | \n", "
---|---|---|
0 | \n", "session_id | \n", "882 | \n", "
1 | \n", "Target | \n", "label | \n", "
2 | \n", "Target Type | \n", "Binary | \n", "
3 | \n", "Label Encoded | \n", "0.0: 0, 1.0: 1 | \n", "
4 | \n", "Original Data | \n", "(64800, 11) | \n", "
5 | \n", "Missing Values | \n", "False | \n", "
6 | \n", "Numeric Features | \n", "8 | \n", "
7 | \n", "Categorical Features | \n", "2 | \n", "
8 | \n", "Ordinal Features | \n", "False | \n", "
9 | \n", "High Cardinality Features | \n", "False | \n", "
10 | \n", "High Cardinality Method | \n", "None | \n", "
11 | \n", "Transformed Train Set | \n", "(45359, 19) | \n", "
12 | \n", "Transformed Test Set | \n", "(19441, 19) | \n", "
13 | \n", "Shuffle Train-Test | \n", "True | \n", "
14 | \n", "Stratify Train-Test | \n", "False | \n", "
15 | \n", "Fold Generator | \n", "StratifiedKFold | \n", "
16 | \n", "Fold Number | \n", "10 | \n", "
17 | \n", "CPU Jobs | \n", "-1 | \n", "
18 | \n", "Use GPU | \n", "False | \n", "
19 | \n", "Log Experiment | \n", "False | \n", "
20 | \n", "Experiment Name | \n", "clf-default-name | \n", "
21 | \n", "USI | \n", "17b7 | \n", "
22 | \n", "Imputation Type | \n", "simple | \n", "
23 | \n", "Iterative Imputation Iteration | \n", "None | \n", "
24 | \n", "Numeric Imputer | \n", "mean | \n", "
25 | \n", "Iterative Imputation Numeric Model | \n", "None | \n", "
26 | \n", "Categorical Imputer | \n", "constant | \n", "
27 | \n", "Iterative Imputation Categorical Model | \n", "None | \n", "
28 | \n", "Unknown Categoricals Handling | \n", "least_frequent | \n", "
29 | \n", "Normalize | \n", "False | \n", "
30 | \n", "Normalize Method | \n", "None | \n", "
31 | \n", "Transformation | \n", "False | \n", "
32 | \n", "Transformation Method | \n", "None | \n", "
33 | \n", "PCA | \n", "False | \n", "
34 | \n", "PCA Method | \n", "None | \n", "
35 | \n", "PCA Components | \n", "None | \n", "
36 | \n", "Ignore Low Variance | \n", "False | \n", "
37 | \n", "Combine Rare Levels | \n", "False | \n", "
38 | \n", "Rare Level Threshold | \n", "None | \n", "
39 | \n", "Numeric Binning | \n", "False | \n", "
40 | \n", "Remove Outliers | \n", "False | \n", "
41 | \n", "Outliers Threshold | \n", "None | \n", "
42 | \n", "Remove Multicollinearity | \n", "False | \n", "
43 | \n", "Multicollinearity Threshold | \n", "None | \n", "
44 | \n", "Remove Perfect Collinearity | \n", "True | \n", "
45 | \n", "Clustering | \n", "False | \n", "
46 | \n", "Clustering Iteration | \n", "None | \n", "
47 | \n", "Polynomial Features | \n", "False | \n", "
48 | \n", "Polynomial Degree | \n", "None | \n", "
49 | \n", "Trignometry Features | \n", "False | \n", "
50 | \n", "Polynomial Threshold | \n", "None | \n", "
51 | \n", "Group Features | \n", "False | \n", "
52 | \n", "Feature Selection | \n", "False | \n", "
53 | \n", "Feature Selection Method | \n", "classic | \n", "
54 | \n", "Features Selection Threshold | \n", "None | \n", "
55 | \n", "Feature Interaction | \n", "False | \n", "
56 | \n", "Feature Ratio | \n", "False | \n", "
57 | \n", "Interaction Threshold | \n", "None | \n", "
58 | \n", "Fix Imbalance | \n", "False | \n", "
59 | \n", "Fix Imbalance Method | \n", "SMOTE | \n", "