123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895896897898899900901902903904905906907908909910911912913914915916917918919920921922923924925926927928929930931932933934935936937938939940941942943944945946947948949950951952953954955956957958959960961962963964965966967968969970971972973974975976977978979980981982983984985986987988989990991992993994995996997998999100010011002100310041005100610071008100910101011101210131014101510161017101810191020102110221023102410251026102710281029103010311032103310341035103610371038103910401041104210431044104510461047104810491050105110521053105410551056105710581059106010611062106310641065106610671068106910701071107210731074107510761077107810791080108110821083108410851086108710881089109010911092109310941095109610971098109911001101110211031104110511061107110811091110111111121113111411151116111711181119112011211122112311241125112611271128112911301131113211331134113511361137113811391140114111421143114411451146114711481149115011511152115311541155115611571158115911601161116211631164116511661167116811691170117111721173117411751176117711781179118011811182118311841185118611871188118911901191119211931194119511961197119811991200120112021203120412051206120712081209121012111212121312141215121612171218121912201221122212231224122512261227122812291230123112321233123412351236123712381239124012411242124312441245124612471248124912501251125212531254125512561257125812591260126112621263126412651266126712681269127012711272127312741275127612771278127912801281128212831284128512861287128812891290129112921293129412951296129712981299130013011302130313041305130613071308130913101311131213131314131513161317131813191320132113221323132413251326132713281329133013311332133313341335133613371338133913401341134213431344134513461347134813491350135113521353135413551356135713581359136013611362136313641365136613671368136913701371137213731374137513761377137813791380138113821383138413851386138713881389139013911392139313941395139613971398139914001401140214031404140514061407140814091410141114121413141414151416141714181419142014211422142314241425142614271428142914301431143214331434143514361437143814391440144114421443144414451446144714481449145014511452145314541455145614571458145914601461146214631464146514661467146814691470147114721473147414751476147714781479148014811482148314841485148614871488148914901491149214931494149514961497149814991500150115021503150415051506150715081509151015111512151315141515151615171518151915201521152215231524152515261527152815291530153115321533153415351536153715381539154015411542154315441545154615471548154915501551155215531554155515561557155815591560156115621563156415651566156715681569157015711572157315741575157615771578157915801581158215831584158515861587158815891590159115921593159415951596159715981599160016011602160316041605160616071608160916101611161216131614161516161617161816191620162116221623162416251626162716281629163016311632163316341635163616371638163916401641164216431644164516461647164816491650165116521653165416551656165716581659166016611662166316641665166616671668166916701671167216731674167516761677167816791680168116821683168416851686168716881689169016911692169316941695169616971698169917001701170217031704170517061707170817091710171117121713171417151716171717181719172017211722172317241725172617271728172917301731173217331734173517361737173817391740174117421743174417451746174717481749175017511752175317541755175617571758175917601761176217631764176517661767176817691770177117721773177417751776177717781779178017811782178317841785178617871788178917901791179217931794179517961797179817991800180118021803180418051806180718081809181018111812181318141815181618171818181918201821182218231824182518261827182818291830183118321833183418351836183718381839184018411842184318441845184618471848184918501851185218531854185518561857185818591860186118621863186418651866186718681869187018711872187318741875187618771878187918801881188218831884188518861887188818891890189118921893189418951896189718981899190019011902190319041905190619071908190919101911191219131914191519161917191819191920192119221923192419251926192719281929193019311932193319341935193619371938193919401941194219431944194519461947194819491950195119521953195419551956195719581959196019611962196319641965196619671968196919701971197219731974197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025202620272028202920302031203220332034203520362037203820392040204120422043204420452046204720482049205020512052205320542055205620572058205920602061206220632064206520662067206820692070207120722073207420752076207720782079208020812082208320842085208620872088208920902091209220932094209520962097209820992100210121022103210421052106210721082109211021112112211321142115211621172118211921202121212221232124212521262127212821292130213121322133213421352136213721382139214021412142214321442145214621472148214921502151215221532154215521562157215821592160216121622163216421652166216721682169217021712172217321742175217621772178217921802181218221832184218521862187218821892190219121922193219421952196219721982199220022012202220322042205220622072208220922102211221222132214221522162217221822192220222122222223222422252226222722282229223022312232223322342235223622372238223922402241224222432244224522462247224822492250225122522253225422552256225722582259226022612262226322642265226622672268226922702271227222732274227522762277227822792280228122822283228422852286228722882289229022912292229322942295229622972298229923002301230223032304230523062307230823092310231123122313231423152316231723182319232023212322232323242325232623272328232923302331233223332334233523362337233823392340234123422343234423452346234723482349235023512352235323542355235623572358235923602361236223632364236523662367236823692370237123722373237423752376237723782379238023812382238323842385238623872388238923902391239223932394239523962397239823992400240124022403240424052406240724082409241024112412241324142415241624172418241924202421242224232424242524262427242824292430243124322433243424352436243724382439244024412442244324442445244624472448244924502451245224532454245524562457245824592460246124622463246424652466246724682469247024712472247324742475247624772478247924802481248224832484248524862487248824892490249124922493249424952496249724982499250025012502250325042505250625072508250925102511251225132514251525162517251825192520252125222523252425252526252725282529253025312532253325342535253625372538253925402541254225432544254525462547254825492550255125522553255425552556255725582559256025612562256325642565256625672568256925702571257225732574257525762577257825792580258125822583258425852586258725882589259025912592259325942595259625972598259926002601260226032604260526062607260826092610261126122613261426152616261726182619262026212622262326242625262626272628262926302631263226332634263526362637263826392640264126422643264426452646264726482649265026512652265326542655265626572658265926602661266226632664266526662667266826692670267126722673267426752676267726782679268026812682268326842685268626872688268926902691269226932694269526962697269826992700270127022703270427052706270727082709271027112712271327142715271627172718271927202721272227232724272527262727272827292730273127322733273427352736273727382739274027412742274327442745274627472748274927502751275227532754275527562757275827592760276127622763276427652766276727682769277027712772277327742775277627772778277927802781278227832784278527862787278827892790279127922793279427952796279727982799280028012802280328042805280628072808280928102811281228132814281528162817281828192820282128222823282428252826282728282829283028312832283328342835283628372838283928402841284228432844284528462847284828492850285128522853285428552856285728582859286028612862286328642865286628672868286928702871287228732874287528762877287828792880288128822883288428852886288728882889289028912892289328942895289628972898289929002901290229032904290529062907290829092910291129122913291429152916291729182919292029212922292329242925292629272928292929302931293229332934293529362937293829392940294129422943294429452946294729482949295029512952295329542955295629572958295929602961296229632964296529662967296829692970297129722973297429752976297729782979298029812982298329842985298629872988298929902991299229932994299529962997299829993000300130023003300430053006300730083009301030113012301330143015301630173018301930203021302230233024302530263027302830293030303130323033303430353036303730383039304030413042304330443045304630473048304930503051305230533054305530563057305830593060306130623063306430653066306730683069307030713072307330743075307630773078307930803081308230833084308530863087308830893090309130923093309430953096309730983099310031013102310331043105310631073108310931103111311231133114311531163117311831193120312131223123312431253126312731283129313031313132313331343135313631373138313931403141314231433144314531463147314831493150315131523153315431553156315731583159316031613162316331643165316631673168316931703171317231733174317531763177317831793180318131823183318431853186318731883189319031913192319331943195319631973198319932003201320232033204320532063207320832093210321132123213321432153216321732183219322032213222322332243225322632273228322932303231323232333234323532363237323832393240324132423243324432453246324732483249325032513252325332543255325632573258325932603261326232633264326532663267326832693270327132723273327432753276327732783279328032813282328332843285328632873288328932903291329232933294329532963297329832993300330133023303330433053306330733083309331033113312331333143315331633173318331933203321332233233324332533263327332833293330333133323333333433353336333733383339334033413342334333443345334633473348334933503351335233533354335533563357335833593360336133623363336433653366336733683369337033713372337333743375337633773378337933803381338233833384338533863387338833893390339133923393339433953396339733983399340034013402340334043405340634073408340934103411341234133414341534163417341834193420342134223423342434253426342734283429343034313432343334343435343634373438343934403441344234433444344534463447344834493450345134523453345434553456345734583459346034613462346334643465346634673468346934703471347234733474347534763477347834793480348134823483348434853486348734883489349034913492349334943495349634973498349935003501350235033504350535063507350835093510351135123513351435153516351735183519352035213522352335243525352635273528352935303531353235333534353535363537353835393540354135423543354435453546354735483549355035513552355335543555355635573558355935603561356235633564356535663567356835693570357135723573357435753576357735783579358035813582358335843585358635873588358935903591359235933594359535963597359835993600360136023603360436053606360736083609361036113612361336143615361636173618361936203621362236233624362536263627362836293630363136323633363436353636363736383639364036413642364336443645364636473648364936503651365236533654365536563657365836593660366136623663366436653666366736683669367036713672367336743675367636773678367936803681368236833684368536863687368836893690369136923693369436953696369736983699370037013702370337043705370637073708370937103711371237133714371537163717371837193720372137223723372437253726372737283729373037313732373337343735373637373738373937403741374237433744374537463747374837493750375137523753375437553756375737583759376037613762376337643765376637673768376937703771377237733774377537763777377837793780378137823783378437853786378737883789379037913792379337943795379637973798379938003801380238033804380538063807380838093810381138123813381438153816381738183819382038213822382338243825382638273828382938303831383238333834383538363837383838393840384138423843384438453846384738483849385038513852385338543855385638573858385938603861386238633864386538663867386838693870387138723873387438753876387738783879388038813882388338843885388638873888388938903891389238933894389538963897389838993900390139023903390439053906390739083909391039113912391339143915391639173918391939203921392239233924392539263927392839293930393139323933393439353936393739383939394039413942394339443945394639473948394939503951395239533954395539563957395839593960396139623963396439653966396739683969397039713972397339743975397639773978397939803981398239833984398539863987398839893990399139923993399439953996399739983999400040014002400340044005400640074008400940104011401240134014401540164017401840194020402140224023402440254026402740284029403040314032403340344035403640374038403940404041404240434044404540464047404840494050405140524053405440554056405740584059406040614062406340644065406640674068406940704071407240734074407540764077407840794080408140824083408440854086408740884089409040914092409340944095409640974098409941004101410241034104410541064107410841094110411141124113411441154116411741184119412041214122412341244125412641274128412941304131413241334134413541364137413841394140414141424143414441454146414741484149415041514152415341544155415641574158415941604161416241634164416541664167416841694170417141724173417441754176417741784179418041814182418341844185418641874188418941904191419241934194419541964197419841994200420142024203420442054206420742084209421042114212421342144215421642174218421942204221422242234224422542264227422842294230423142324233423442354236423742384239424042414242424342444245424642474248424942504251425242534254425542564257425842594260426142624263426442654266426742684269427042714272427342744275427642774278427942804281428242834284428542864287428842894290429142924293429442954296429742984299430043014302430343044305430643074308430943104311431243134314431543164317431843194320432143224323432443254326432743284329433043314332433343344335433643374338433943404341434243434344434543464347434843494350435143524353435443554356435743584359436043614362436343644365436643674368436943704371437243734374437543764377437843794380438143824383438443854386438743884389439043914392439343944395439643974398439944004401440244034404440544064407440844094410441144124413441444154416441744184419442044214422442344244425442644274428442944304431443244334434443544364437443844394440444144424443444444454446444744484449445044514452445344544455445644574458445944604461446244634464446544664467446844694470447144724473447444754476447744784479448044814482448344844485448644874488448944904491449244934494449544964497449844994500450145024503450445054506450745084509451045114512451345144515451645174518451945204521452245234524452545264527452845294530453145324533453445354536453745384539454045414542454345444545454645474548454945504551455245534554455545564557455845594560456145624563456445654566456745684569457045714572457345744575457645774578457945804581458245834584458545864587458845894590459145924593459445954596459745984599460046014602460346044605460646074608460946104611461246134614461546164617461846194620462146224623462446254626462746284629463046314632463346344635463646374638463946404641464246434644464546464647464846494650465146524653465446554656465746584659466046614662466346644665466646674668466946704671467246734674467546764677467846794680468146824683468446854686468746884689469046914692469346944695469646974698469947004701470247034704470547064707470847094710471147124713471447154716471747184719472047214722472347244725472647274728472947304731473247334734473547364737473847394740474147424743474447454746474747484749475047514752475347544755475647574758475947604761476247634764476547664767476847694770477147724773477447754776477747784779478047814782478347844785478647874788478947904791479247934794479547964797479847994800480148024803480448054806480748084809481048114812481348144815481648174818481948204821482248234824482548264827482848294830483148324833483448354836483748384839484048414842484348444845484648474848484948504851485248534854485548564857485848594860486148624863486448654866486748684869487048714872487348744875487648774878487948804881488248834884488548864887488848894890489148924893489448954896489748984899490049014902490349044905490649074908490949104911491249134914491549164917491849194920492149224923492449254926492749284929493049314932493349344935493649374938493949404941494249434944494549464947494849494950495149524953495449554956495749584959496049614962496349644965496649674968496949704971497249734974497549764977497849794980498149824983498449854986498749884989499049914992499349944995499649974998499950005001500250035004500550065007500850095010501150125013501450155016501750185019502050215022502350245025502650275028502950305031503250335034503550365037503850395040504150425043504450455046504750485049505050515052505350545055505650575058505950605061506250635064506550665067506850695070507150725073507450755076507750785079508050815082508350845085508650875088508950905091509250935094509550965097509850995100510151025103510451055106510751085109511051115112511351145115511651175118511951205121512251235124512551265127512851295130513151325133513451355136513751385139514051415142514351445145514651475148514951505151515251535154515551565157515851595160516151625163516451655166516751685169517051715172517351745175517651775178517951805181518251835184518551865187518851895190519151925193519451955196519751985199520052015202520352045205520652075208520952105211521252135214521552165217521852195220522152225223522452255226522752285229523052315232523352345235523652375238523952405241524252435244524552465247524852495250525152525253525452555256525752585259526052615262526352645265526652675268526952705271527252735274527552765277527852795280528152825283528452855286528752885289529052915292529352945295529652975298529953005301530253035304530553065307530853095310531153125313531453155316531753185319532053215322532353245325532653275328532953305331533253335334533553365337533853395340534153425343534453455346534753485349535053515352535353545355535653575358535953605361536253635364536553665367536853695370537153725373537453755376537753785379538053815382538353845385538653875388538953905391539253935394539553965397539853995400540154025403540454055406540754085409541054115412541354145415541654175418541954205421542254235424542554265427542854295430543154325433543454355436543754385439544054415442544354445445544654475448544954505451545254535454545554565457545854595460546154625463546454655466546754685469547054715472547354745475547654775478547954805481548254835484548554865487548854895490549154925493549454955496549754985499550055015502550355045505550655075508550955105511551255135514551555165517551855195520552155225523552455255526552755285529553055315532553355345535553655375538553955405541554255435544554555465547554855495550555155525553555455555556555755585559556055615562556355645565556655675568556955705571557255735574557555765577557855795580558155825583558455855586558755885589559055915592559355945595559655975598559956005601560256035604560556065607560856095610561156125613561456155616561756185619562056215622562356245625562656275628562956305631563256335634563556365637563856395640564156425643564456455646564756485649565056515652565356545655565656575658565956605661566256635664566556665667566856695670567156725673567456755676567756785679568056815682568356845685568656875688568956905691569256935694569556965697569856995700570157025703570457055706570757085709571057115712571357145715571657175718571957205721572257235724572557265727572857295730573157325733573457355736573757385739574057415742574357445745574657475748574957505751575257535754575557565757575857595760576157625763576457655766576757685769577057715772577357745775577657775778577957805781578257835784578557865787578857895790579157925793579457955796579757985799580058015802580358045805580658075808580958105811581258135814581558165817581858195820582158225823582458255826582758285829583058315832583358345835583658375838583958405841584258435844584558465847584858495850585158525853585458555856585758585859586058615862586358645865586658675868586958705871587258735874587558765877587858795880588158825883588458855886588758885889589058915892589358945895589658975898589959005901590259035904590559065907590859095910591159125913591459155916591759185919592059215922592359245925592659275928592959305931593259335934593559365937593859395940594159425943594459455946594759485949595059515952595359545955595659575958595959605961596259635964596559665967596859695970597159725973597459755976597759785979598059815982598359845985598659875988598959905991599259935994599559965997599859996000600160026003600460056006600760086009601060116012601360146015601660176018601960206021602260236024602560266027602860296030603160326033603460356036603760386039604060416042604360446045604660476048604960506051605260536054605560566057605860596060606160626063606460656066606760686069607060716072607360746075607660776078607960806081608260836084608560866087608860896090609160926093609460956096609760986099610061016102610361046105610661076108610961106111611261136114611561166117611861196120612161226123612461256126612761286129613061316132613361346135613661376138613961406141614261436144614561466147614861496150615161526153615461556156615761586159616061616162616361646165616661676168616961706171617261736174617561766177617861796180618161826183618461856186618761886189619061916192619361946195619661976198619962006201620262036204620562066207620862096210621162126213621462156216621762186219622062216222622362246225622662276228622962306231623262336234623562366237623862396240624162426243624462456246624762486249625062516252625362546255625662576258625962606261626262636264626562666267626862696270627162726273627462756276627762786279628062816282628362846285628662876288628962906291629262936294629562966297629862996300630163026303630463056306630763086309631063116312631363146315631663176318631963206321632263236324632563266327632863296330633163326333633463356336633763386339634063416342634363446345634663476348634963506351635263536354635563566357635863596360636163626363636463656366636763686369637063716372637363746375637663776378637963806381638263836384638563866387638863896390639163926393639463956396639763986399640064016402640364046405640664076408640964106411641264136414641564166417641864196420642164226423642464256426642764286429643064316432643364346435643664376438643964406441644264436444644564466447644864496450645164526453645464556456645764586459646064616462646364646465646664676468646964706471647264736474647564766477647864796480648164826483648464856486648764886489649064916492649364946495649664976498649965006501650265036504650565066507650865096510651165126513651465156516651765186519652065216522652365246525652665276528652965306531653265336534653565366537653865396540654165426543654465456546654765486549655065516552655365546555655665576558655965606561656265636564656565666567656865696570657165726573657465756576657765786579658065816582658365846585658665876588658965906591659265936594659565966597659865996600660166026603660466056606660766086609661066116612661366146615661666176618661966206621662266236624662566266627662866296630663166326633663466356636663766386639664066416642664366446645664666476648664966506651665266536654665566566657665866596660666166626663666466656666666766686669667066716672667366746675667666776678667966806681668266836684668566866687668866896690669166926693669466956696669766986699670067016702670367046705670667076708670967106711671267136714671567166717671867196720672167226723672467256726672767286729673067316732673367346735673667376738673967406741674267436744674567466747674867496750675167526753675467556756675767586759676067616762676367646765676667676768676967706771677267736774677567766777677867796780678167826783678467856786678767886789679067916792679367946795679667976798679968006801680268036804680568066807680868096810681168126813681468156816681768186819682068216822682368246825682668276828682968306831683268336834683568366837683868396840684168426843684468456846684768486849685068516852685368546855685668576858685968606861686268636864686568666867686868696870687168726873687468756876687768786879688068816882688368846885688668876888688968906891689268936894689568966897689868996900690169026903690469056906690769086909691069116912691369146915691669176918691969206921692269236924692569266927692869296930693169326933693469356936693769386939694069416942694369446945694669476948694969506951695269536954695569566957695869596960696169626963696469656966696769686969697069716972697369746975697669776978697969806981698269836984698569866987698869896990699169926993699469956996699769986999700070017002700370047005700670077008700970107011701270137014701570167017701870197020702170227023702470257026702770287029703070317032703370347035703670377038703970407041704270437044704570467047704870497050705170527053705470557056705770587059706070617062706370647065706670677068706970707071707270737074707570767077707870797080708170827083708470857086708770887089709070917092709370947095709670977098709971007101710271037104710571067107710871097110711171127113711471157116711771187119712071217122712371247125712671277128712971307131713271337134713571367137713871397140714171427143714471457146714771487149715071517152715371547155715671577158715971607161716271637164716571667167716871697170717171727173717471757176717771787179718071817182718371847185718671877188718971907191719271937194719571967197719871997200720172027203720472057206720772087209721072117212721372147215721672177218721972207221722272237224722572267227722872297230723172327233723472357236723772387239724072417242724372447245724672477248724972507251725272537254725572567257725872597260726172627263726472657266726772687269727072717272727372747275727672777278727972807281728272837284728572867287728872897290729172927293729472957296729772987299730073017302730373047305730673077308730973107311731273137314731573167317731873197320732173227323732473257326732773287329733073317332733373347335733673377338733973407341734273437344734573467347734873497350735173527353735473557356735773587359736073617362736373647365736673677368736973707371737273737374737573767377737873797380738173827383738473857386738773887389739073917392739373947395739673977398739974007401740274037404740574067407740874097410741174127413741474157416741774187419742074217422742374247425742674277428742974307431743274337434743574367437743874397440744174427443744474457446744774487449745074517452745374547455745674577458745974607461746274637464746574667467746874697470747174727473747474757476747774787479748074817482748374847485748674877488748974907491749274937494749574967497749874997500750175027503750475057506750775087509751075117512751375147515751675177518751975207521752275237524752575267527752875297530753175327533753475357536753775387539754075417542754375447545754675477548754975507551755275537554755575567557755875597560756175627563756475657566756775687569757075717572757375747575757675777578757975807581758275837584758575867587758875897590759175927593759475957596759775987599760076017602760376047605760676077608760976107611761276137614761576167617761876197620762176227623762476257626762776287629763076317632763376347635763676377638763976407641764276437644764576467647764876497650765176527653765476557656765776587659766076617662766376647665766676677668766976707671767276737674767576767677767876797680768176827683768476857686768776887689769076917692769376947695769676977698769977007701770277037704770577067707770877097710771177127713771477157716771777187719772077217722772377247725772677277728772977307731773277337734773577367737773877397740774177427743774477457746774777487749775077517752775377547755775677577758775977607761776277637764776577667767776877697770777177727773777477757776777777787779778077817782778377847785778677877788778977907791779277937794779577967797779877997800780178027803780478057806780778087809781078117812781378147815781678177818781978207821782278237824782578267827782878297830783178327833783478357836783778387839784078417842784378447845784678477848784978507851785278537854785578567857785878597860786178627863786478657866786778687869787078717872787378747875787678777878787978807881788278837884788578867887788878897890789178927893789478957896789778987899790079017902790379047905790679077908790979107911791279137914791579167917791879197920792179227923792479257926792779287929793079317932793379347935793679377938793979407941794279437944794579467947794879497950795179527953795479557956795779587959796079617962796379647965796679677968796979707971797279737974797579767977797879797980798179827983798479857986798779887989799079917992799379947995799679977998799980008001800280038004800580068007800880098010801180128013801480158016801780188019802080218022802380248025802680278028802980308031803280338034803580368037803880398040804180428043804480458046804780488049805080518052805380548055805680578058805980608061806280638064806580668067806880698070807180728073807480758076807780788079808080818082808380848085808680878088808980908091809280938094809580968097809880998100810181028103810481058106810781088109811081118112811381148115811681178118811981208121812281238124812581268127812881298130813181328133813481358136813781388139814081418142814381448145814681478148814981508151815281538154815581568157815881598160816181628163816481658166816781688169817081718172817381748175817681778178817981808181818281838184818581868187818881898190819181928193819481958196819781988199820082018202820382048205820682078208820982108211821282138214821582168217821882198220822182228223822482258226822782288229823082318232823382348235823682378238823982408241824282438244824582468247824882498250825182528253825482558256825782588259826082618262826382648265826682678268826982708271827282738274827582768277827882798280828182828283828482858286828782888289829082918292829382948295829682978298829983008301830283038304830583068307830883098310831183128313831483158316831783188319832083218322832383248325832683278328832983308331833283338334833583368337833883398340834183428343834483458346834783488349835083518352835383548355835683578358835983608361836283638364836583668367836883698370837183728373837483758376837783788379838083818382838383848385838683878388838983908391839283938394839583968397839883998400840184028403840484058406840784088409841084118412841384148415841684178418841984208421842284238424842584268427842884298430843184328433843484358436843784388439844084418442844384448445844684478448844984508451845284538454845584568457845884598460846184628463846484658466846784688469847084718472847384748475847684778478847984808481848284838484848584868487848884898490849184928493849484958496849784988499850085018502850385048505850685078508850985108511851285138514851585168517851885198520852185228523852485258526852785288529853085318532853385348535853685378538853985408541854285438544854585468547854885498550855185528553855485558556855785588559856085618562856385648565856685678568856985708571857285738574857585768577857885798580858185828583858485858586858785888589859085918592859385948595859685978598859986008601860286038604860586068607860886098610861186128613861486158616861786188619862086218622862386248625862686278628862986308631863286338634863586368637863886398640864186428643864486458646864786488649865086518652865386548655865686578658865986608661866286638664866586668667866886698670867186728673867486758676867786788679868086818682868386848685868686878688868986908691869286938694869586968697869886998700870187028703870487058706870787088709871087118712871387148715871687178718871987208721872287238724872587268727872887298730873187328733873487358736873787388739874087418742874387448745874687478748874987508751875287538754875587568757875887598760876187628763876487658766876787688769877087718772877387748775877687778778877987808781878287838784878587868787878887898790879187928793879487958796879787988799880088018802880388048805880688078808880988108811881288138814881588168817881888198820882188228823882488258826882788288829883088318832883388348835883688378838883988408841884288438844884588468847884888498850885188528853885488558856885788588859886088618862886388648865886688678868886988708871887288738874887588768877887888798880888188828883888488858886888788888889889088918892889388948895889688978898889989008901890289038904890589068907890889098910891189128913891489158916891789188919892089218922892389248925892689278928892989308931893289338934893589368937893889398940894189428943894489458946894789488949895089518952895389548955895689578958895989608961896289638964896589668967896889698970897189728973897489758976897789788979898089818982898389848985898689878988898989908991899289938994899589968997899889999000900190029003900490059006900790089009901090119012901390149015901690179018901990209021902290239024902590269027902890299030903190329033903490359036903790389039904090419042904390449045904690479048904990509051905290539054905590569057905890599060906190629063906490659066906790689069907090719072907390749075907690779078907990809081908290839084908590869087908890899090909190929093909490959096909790989099910091019102910391049105910691079108910991109111911291139114911591169117911891199120912191229123912491259126912791289129913091319132913391349135913691379138913991409141914291439144914591469147914891499150915191529153915491559156915791589159916091619162916391649165916691679168916991709171917291739174917591769177917891799180918191829183918491859186918791889189919091919192919391949195919691979198919992009201920292039204920592069207920892099210921192129213921492159216921792189219922092219222922392249225922692279228922992309231923292339234923592369237923892399240924192429243924492459246924792489249925092519252925392549255925692579258925992609261926292639264926592669267926892699270927192729273927492759276927792789279928092819282928392849285928692879288928992909291929292939294929592969297929892999300930193029303930493059306930793089309931093119312931393149315931693179318931993209321932293239324932593269327932893299330933193329333933493359336933793389339934093419342934393449345934693479348934993509351935293539354935593569357935893599360936193629363936493659366936793689369937093719372937393749375937693779378937993809381938293839384938593869387938893899390939193929393939493959396939793989399940094019402940394049405940694079408940994109411941294139414941594169417941894199420942194229423942494259426942794289429943094319432943394349435943694379438943994409441944294439444944594469447944894499450945194529453945494559456945794589459946094619462946394649465946694679468946994709471947294739474947594769477947894799480948194829483948494859486948794889489949094919492949394949495949694979498949995009501950295039504950595069507950895099510951195129513951495159516951795189519952095219522952395249525952695279528952995309531953295339534953595369537953895399540954195429543954495459546954795489549955095519552955395549555955695579558955995609561956295639564956595669567956895699570957195729573957495759576957795789579958095819582958395849585958695879588958995909591959295939594959595969597959895999600960196029603960496059606960796089609961096119612961396149615961696179618961996209621962296239624962596269627962896299630963196329633963496359636963796389639964096419642964396449645964696479648964996509651965296539654965596569657965896599660966196629663966496659666966796689669967096719672967396749675967696779678967996809681968296839684968596869687968896899690969196929693969496959696969796989699970097019702970397049705970697079708970997109711971297139714971597169717971897199720972197229723972497259726972797289729973097319732973397349735973697379738973997409741974297439744974597469747974897499750975197529753975497559756975797589759976097619762976397649765976697679768976997709771977297739774977597769777977897799780978197829783978497859786978797889789979097919792979397949795979697979798979998009801980298039804980598069807980898099810981198129813981498159816981798189819982098219822982398249825982698279828982998309831983298339834983598369837983898399840984198429843984498459846984798489849985098519852985398549855985698579858985998609861986298639864986598669867986898699870987198729873987498759876987798789879988098819882988398849885988698879888988998909891989298939894989598969897989898999900990199029903990499059906990799089909991099119912991399149915991699179918991999209921992299239924992599269927992899299930993199329933993499359936993799389939994099419942994399449945994699479948994999509951995299539954995599569957995899599960996199629963996499659966996799689969997099719972997399749975997699779978997999809981998299839984998599869987998899899990999199929993999499959996999799989999100001000110002100031000410005100061000710008100091001010011100121001310014100151001610017100181001910020100211002210023100241002510026100271002810029100301003110032100331003410035100361003710038100391004010041100421004310044100451004610047100481004910050100511005210053100541005510056100571005810059100601006110062100631006410065100661006710068100691007010071100721007310074100751007610077100781007910080100811008210083100841008510086100871008810089100901009110092100931009410095100961009710098100991010010101101021010310104101051010610107101081010910110101111011210113101141011510116101171011810119101201012110122101231012410125101261012710128101291013010131101321013310134101351013610137101381013910140101411014210143101441014510146101471014810149101501015110152101531015410155101561015710158101591016010161101621016310164101651016610167101681016910170101711017210173101741017510176101771017810179101801018110182101831018410185101861018710188101891019010191101921019310194101951019610197101981019910200102011020210203102041020510206102071020810209102101021110212102131021410215102161021710218102191022010221102221022310224102251022610227102281022910230102311023210233102341023510236102371023810239102401024110242102431024410245102461024710248102491025010251102521025310254102551025610257102581025910260102611026210263102641026510266102671026810269102701027110272102731027410275102761027710278102791028010281102821028310284102851028610287102881028910290102911029210293102941029510296102971029810299103001030110302103031030410305103061030710308103091031010311103121031310314103151031610317103181031910320103211032210323103241032510326103271032810329103301033110332103331033410335103361033710338103391034010341103421034310344103451034610347103481034910350103511035210353103541035510356103571035810359103601036110362103631036410365103661036710368103691037010371103721037310374103751037610377103781037910380103811038210383103841038510386103871038810389103901039110392103931039410395103961039710398103991040010401104021040310404104051040610407104081040910410104111041210413104141041510416104171041810419104201042110422104231042410425104261042710428104291043010431104321043310434104351043610437104381043910440104411044210443104441044510446104471044810449104501045110452104531045410455104561045710458104591046010461104621046310464104651046610467104681046910470104711047210473104741047510476104771047810479104801048110482104831048410485104861048710488104891049010491104921049310494104951049610497104981049910500105011050210503105041050510506105071050810509105101051110512105131051410515105161051710518105191052010521105221052310524105251052610527105281052910530105311053210533105341053510536105371053810539105401054110542105431054410545105461054710548105491055010551105521055310554105551055610557105581055910560105611056210563105641056510566105671056810569105701057110572105731057410575105761057710578105791058010581105821058310584105851058610587105881058910590105911059210593105941059510596105971059810599106001060110602106031060410605106061060710608106091061010611106121061310614106151061610617106181061910620106211062210623106241062510626106271062810629106301063110632106331063410635106361063710638106391064010641106421064310644106451064610647106481064910650106511065210653106541065510656106571065810659106601066110662106631066410665106661066710668106691067010671106721067310674106751067610677106781067910680106811068210683106841068510686106871068810689106901069110692106931069410695106961069710698106991070010701107021070310704107051070610707107081070910710107111071210713107141071510716107171071810719107201072110722107231072410725107261072710728107291073010731107321073310734107351073610737107381073910740107411074210743107441074510746107471074810749107501075110752107531075410755107561075710758107591076010761107621076310764107651076610767107681076910770107711077210773107741077510776107771077810779107801078110782107831078410785107861078710788107891079010791107921079310794107951079610797107981079910800108011080210803108041080510806108071080810809108101081110812108131081410815108161081710818108191082010821108221082310824108251082610827108281082910830108311083210833108341083510836108371083810839108401084110842108431084410845108461084710848108491085010851108521085310854108551085610857108581085910860108611086210863108641086510866108671086810869108701087110872108731087410875108761087710878108791088010881108821088310884108851088610887108881088910890108911089210893108941089510896108971089810899109001090110902109031090410905109061090710908109091091010911109121091310914109151091610917109181091910920109211092210923109241092510926109271092810929109301093110932109331093410935109361093710938109391094010941109421094310944109451094610947109481094910950109511095210953109541095510956109571095810959109601096110962109631096410965109661096710968109691097010971109721097310974109751097610977109781097910980109811098210983109841098510986109871098810989109901099110992109931099410995109961099710998109991100011001110021100311004110051100611007110081100911010110111101211013110141101511016110171101811019110201102111022110231102411025110261102711028110291103011031110321103311034110351103611037110381103911040110411104211043110441104511046110471104811049110501105111052110531105411055110561105711058110591106011061110621106311064110651106611067110681106911070110711107211073110741107511076110771107811079110801108111082110831108411085110861108711088110891109011091110921109311094110951109611097110981109911100111011110211103111041110511106111071110811109111101111111112111131111411115111161111711118111191112011121111221112311124111251112611127111281112911130111311113211133111341113511136111371113811139111401114111142111431114411145111461114711148111491115011151111521115311154111551115611157111581115911160111611116211163111641116511166111671116811169111701117111172111731117411175111761117711178111791118011181111821118311184111851118611187111881118911190111911119211193111941119511196111971119811199112001120111202112031120411205112061120711208112091121011211112121121311214112151121611217112181121911220112211122211223112241122511226112271122811229112301123111232112331123411235112361123711238112391124011241112421124311244112451124611247112481124911250112511125211253112541125511256112571125811259112601126111262112631126411265112661126711268112691127011271112721127311274112751127611277112781127911280112811128211283112841128511286112871128811289112901129111292112931129411295112961129711298112991130011301113021130311304113051130611307113081130911310113111131211313113141131511316113171131811319113201132111322113231132411325113261132711328113291133011331113321133311334113351133611337113381133911340113411134211343113441134511346113471134811349113501135111352113531135411355113561135711358113591136011361113621136311364113651136611367113681136911370113711137211373113741137511376113771137811379113801138111382113831138411385113861138711388113891139011391113921139311394113951139611397113981139911400114011140211403114041140511406114071140811409114101141111412114131141411415114161141711418114191142011421114221142311424114251142611427114281142911430114311143211433114341143511436114371143811439114401144111442114431144411445114461144711448114491145011451114521145311454114551145611457114581145911460114611146211463114641146511466114671146811469114701147111472114731147411475114761147711478114791148011481114821148311484114851148611487114881148911490114911149211493114941149511496114971149811499115001150111502115031150411505115061150711508115091151011511115121151311514115151151611517115181151911520115211152211523115241152511526115271152811529115301153111532115331153411535115361153711538115391154011541115421154311544115451154611547115481154911550115511155211553115541155511556115571155811559115601156111562115631156411565115661156711568115691157011571115721157311574115751157611577115781157911580115811158211583115841158511586115871158811589115901159111592115931159411595115961159711598115991160011601116021160311604116051160611607116081160911610116111161211613116141161511616116171161811619116201162111622116231162411625116261162711628116291163011631116321163311634116351163611637116381163911640116411164211643116441164511646116471164811649116501165111652116531165411655116561165711658116591166011661116621166311664116651166611667116681166911670116711167211673116741167511676116771167811679116801168111682116831168411685116861168711688116891169011691116921169311694116951169611697116981169911700117011170211703117041170511706117071170811709117101171111712117131171411715117161171711718117191172011721117221172311724117251172611727117281172911730117311173211733117341173511736117371173811739117401174111742117431174411745117461174711748117491175011751117521175311754117551175611757117581175911760117611176211763117641176511766117671176811769117701177111772117731177411775117761177711778117791178011781117821178311784117851178611787117881178911790117911179211793117941179511796117971179811799118001180111802118031180411805118061180711808118091181011811118121181311814118151181611817118181181911820118211182211823118241182511826118271182811829118301183111832118331183411835118361183711838118391184011841118421184311844118451184611847118481184911850118511185211853118541185511856118571185811859118601186111862118631186411865118661186711868118691187011871118721187311874118751187611877118781187911880118811188211883118841188511886118871188811889118901189111892118931189411895118961189711898118991190011901119021190311904119051190611907119081190911910119111191211913119141191511916119171191811919119201192111922119231192411925119261192711928119291193011931119321193311934119351193611937119381193911940119411194211943119441194511946119471194811949119501195111952119531195411955119561195711958119591196011961119621196311964119651196611967119681196911970119711197211973119741197511976119771197811979119801198111982119831198411985119861198711988119891199011991119921199311994119951199611997119981199912000120011200212003120041200512006120071200812009120101201112012120131201412015120161201712018120191202012021120221202312024120251202612027120281202912030120311203212033120341203512036120371203812039120401204112042120431204412045120461204712048120491205012051120521205312054120551205612057120581205912060120611206212063120641206512066120671206812069120701207112072120731207412075120761207712078120791208012081120821208312084120851208612087120881208912090120911209212093120941209512096120971209812099121001210112102121031210412105121061210712108121091211012111121121211312114121151211612117121181211912120121211212212123121241212512126121271212812129121301213112132121331213412135121361213712138121391214012141121421214312144121451214612147121481214912150121511215212153121541215512156121571215812159121601216112162121631216412165121661216712168121691217012171121721217312174121751217612177121781217912180121811218212183121841218512186121871218812189121901219112192121931219412195121961219712198121991220012201122021220312204122051220612207122081220912210122111221212213122141221512216122171221812219122201222112222122231222412225122261222712228122291223012231122321223312234122351223612237122381223912240122411224212243122441224512246122471224812249122501225112252122531225412255122561225712258122591226012261122621226312264122651226612267122681226912270122711227212273122741227512276122771227812279122801228112282122831228412285122861228712288122891229012291122921229312294122951229612297122981229912300123011230212303123041230512306123071230812309123101231112312123131231412315123161231712318123191232012321123221232312324123251232612327123281232912330123311233212333123341233512336123371233812339123401234112342123431234412345123461234712348123491235012351123521235312354123551235612357123581235912360123611236212363123641236512366123671236812369123701237112372123731237412375123761237712378123791238012381123821238312384123851238612387123881238912390123911239212393123941239512396123971239812399124001240112402124031240412405124061240712408124091241012411124121241312414124151241612417124181241912420124211242212423124241242512426124271242812429124301243112432124331243412435124361243712438124391244012441124421244312444124451244612447124481244912450124511245212453124541245512456124571245812459124601246112462124631246412465124661246712468124691247012471124721247312474124751247612477124781247912480124811248212483124841248512486124871248812489124901249112492124931249412495124961249712498124991250012501125021250312504125051250612507125081250912510125111251212513125141251512516125171251812519125201252112522125231252412525125261252712528125291253012531125321253312534125351253612537125381253912540125411254212543125441254512546125471254812549125501255112552125531255412555125561255712558125591256012561125621256312564125651256612567125681256912570125711257212573125741257512576125771257812579125801258112582125831258412585125861258712588125891259012591125921259312594125951259612597125981259912600126011260212603126041260512606126071260812609126101261112612126131261412615126161261712618126191262012621126221262312624126251262612627126281262912630126311263212633126341263512636126371263812639126401264112642126431264412645126461264712648126491265012651126521265312654126551265612657126581265912660126611266212663126641266512666126671266812669126701267112672126731267412675126761267712678126791268012681126821268312684126851268612687126881268912690126911269212693126941269512696126971269812699127001270112702127031270412705127061270712708127091271012711127121271312714127151271612717127181271912720127211272212723127241272512726127271272812729127301273112732127331273412735127361273712738127391274012741127421274312744127451274612747127481274912750127511275212753127541275512756127571275812759127601276112762127631276412765127661276712768127691277012771127721277312774127751277612777127781277912780127811278212783127841278512786127871278812789127901279112792127931279412795127961279712798127991280012801128021280312804128051280612807128081280912810128111281212813128141281512816128171281812819128201282112822128231282412825128261282712828128291283012831128321283312834128351283612837128381283912840128411284212843128441284512846128471284812849128501285112852128531285412855128561285712858128591286012861128621286312864128651286612867128681286912870128711287212873128741287512876128771287812879128801288112882128831288412885128861288712888128891289012891128921289312894128951289612897128981289912900129011290212903129041290512906129071290812909129101291112912129131291412915129161291712918129191292012921129221292312924129251292612927129281292912930129311293212933129341293512936129371293812939129401294112942129431294412945129461294712948129491295012951129521295312954129551295612957129581295912960129611296212963129641296512966129671296812969129701297112972129731297412975129761297712978129791298012981129821298312984129851298612987129881298912990129911299212993129941299512996129971299812999130001300113002130031300413005130061300713008130091301013011130121301313014130151301613017130181301913020130211302213023130241302513026130271302813029130301303113032130331303413035130361303713038130391304013041130421304313044130451304613047130481304913050130511305213053130541305513056130571305813059130601306113062130631306413065130661306713068130691307013071130721307313074130751307613077130781307913080130811308213083130841308513086130871308813089130901309113092130931309413095130961309713098130991310013101131021310313104131051310613107131081310913110131111311213113131141311513116131171311813119131201312113122131231312413125131261312713128131291313013131131321313313134131351313613137131381313913140131411314213143131441314513146131471314813149131501315113152131531315413155131561315713158131591316013161131621316313164131651316613167131681316913170131711317213173131741317513176131771317813179131801318113182131831318413185131861318713188131891319013191131921319313194131951319613197131981319913200132011320213203132041320513206132071320813209132101321113212132131321413215132161321713218132191322013221132221322313224132251322613227132281322913230132311323213233132341323513236132371323813239132401324113242132431324413245132461324713248132491325013251132521325313254132551325613257132581325913260132611326213263132641326513266132671326813269132701327113272132731327413275132761327713278132791328013281132821328313284132851328613287132881328913290132911329213293132941329513296132971329813299133001330113302133031330413305133061330713308133091331013311133121331313314133151331613317133181331913320133211332213323133241332513326133271332813329133301333113332133331333413335133361333713338133391334013341133421334313344133451334613347133481334913350133511335213353133541335513356133571335813359133601336113362133631336413365133661336713368133691337013371133721337313374133751337613377133781337913380133811338213383133841338513386133871338813389133901339113392133931339413395133961339713398133991340013401134021340313404134051340613407134081340913410134111341213413134141341513416134171341813419134201342113422134231342413425134261342713428134291343013431134321343313434134351343613437134381343913440134411344213443134441344513446134471344813449134501345113452134531345413455134561345713458134591346013461134621346313464134651346613467134681346913470134711347213473134741347513476134771347813479134801348113482134831348413485134861348713488134891349013491134921349313494134951349613497134981349913500135011350213503135041350513506135071350813509135101351113512135131351413515135161351713518135191352013521135221352313524135251352613527135281352913530135311353213533135341353513536135371353813539135401354113542135431354413545135461354713548135491355013551135521355313554135551355613557135581355913560135611356213563135641356513566135671356813569135701357113572135731357413575135761357713578135791358013581135821358313584135851358613587135881358913590135911359213593135941359513596135971359813599136001360113602136031360413605136061360713608136091361013611136121361313614136151361613617136181361913620136211362213623136241362513626136271362813629136301363113632136331363413635136361363713638136391364013641136421364313644136451364613647136481364913650136511365213653136541365513656136571365813659136601366113662136631366413665136661366713668136691367013671136721367313674136751367613677136781367913680136811368213683136841368513686136871368813689136901369113692136931369413695136961369713698136991370013701137021370313704137051370613707137081370913710137111371213713137141371513716137171371813719137201372113722137231372413725137261372713728137291373013731137321373313734137351373613737137381373913740137411374213743137441374513746137471374813749137501375113752137531375413755137561375713758137591376013761137621376313764137651376613767137681376913770137711377213773137741377513776137771377813779137801378113782137831378413785137861378713788137891379013791137921379313794137951379613797137981379913800138011380213803138041380513806138071380813809138101381113812138131381413815138161381713818138191382013821138221382313824138251382613827138281382913830138311383213833138341383513836138371383813839138401384113842138431384413845138461384713848138491385013851138521385313854138551385613857138581385913860138611386213863138641386513866138671386813869138701387113872138731387413875138761387713878138791388013881138821388313884138851388613887138881388913890138911389213893138941389513896138971389813899139001390113902139031390413905139061390713908139091391013911139121391313914139151391613917139181391913920139211392213923139241392513926139271392813929139301393113932139331393413935139361393713938139391394013941139421394313944139451394613947139481394913950139511395213953139541395513956139571395813959139601396113962139631396413965139661396713968139691397013971139721397313974139751397613977139781397913980139811398213983139841398513986139871398813989139901399113992139931399413995139961399713998139991400014001140021400314004140051400614007140081400914010140111401214013140141401514016140171401814019140201402114022140231402414025140261402714028140291403014031140321403314034140351403614037140381403914040140411404214043140441404514046140471404814049140501405114052140531405414055140561405714058140591406014061140621406314064140651406614067140681406914070140711407214073140741407514076140771407814079140801408114082140831408414085140861408714088140891409014091140921409314094140951409614097140981409914100141011410214103141041410514106141071410814109141101411114112141131411414115141161411714118141191412014121141221412314124141251412614127141281412914130141311413214133141341413514136141371413814139141401414114142141431414414145141461414714148141491415014151141521415314154141551415614157141581415914160141611416214163141641416514166141671416814169141701417114172141731417414175141761417714178141791418014181141821418314184141851418614187141881418914190141911419214193141941419514196141971419814199142001420114202142031420414205142061420714208142091421014211142121421314214142151421614217142181421914220142211422214223142241422514226142271422814229142301423114232142331423414235142361423714238142391424014241142421424314244142451424614247142481424914250142511425214253142541425514256142571425814259142601426114262142631426414265142661426714268142691427014271142721427314274142751427614277142781427914280142811428214283142841428514286142871428814289142901429114292142931429414295142961429714298142991430014301143021430314304143051430614307143081430914310143111431214313143141431514316143171431814319143201432114322143231432414325143261432714328143291433014331143321433314334143351433614337143381433914340143411434214343143441434514346143471434814349143501435114352143531435414355143561435714358143591436014361143621436314364143651436614367143681436914370143711437214373143741437514376143771437814379143801438114382143831438414385143861438714388143891439014391143921439314394143951439614397143981439914400144011440214403144041440514406144071440814409144101441114412144131441414415144161441714418144191442014421144221442314424144251442614427144281442914430144311443214433144341443514436144371443814439144401444114442144431444414445144461444714448144491445014451144521445314454144551445614457144581445914460144611446214463144641446514466144671446814469144701447114472144731447414475144761447714478144791448014481144821448314484144851448614487144881448914490144911449214493144941449514496144971449814499145001450114502145031450414505145061450714508145091451014511145121451314514145151451614517145181451914520145211452214523145241452514526145271452814529145301453114532145331453414535145361453714538145391454014541145421454314544145451454614547145481454914550145511455214553145541455514556145571455814559145601456114562145631456414565145661456714568145691457014571145721457314574145751457614577145781457914580145811458214583145841458514586145871458814589145901459114592145931459414595145961459714598145991460014601146021460314604146051460614607146081460914610146111461214613146141461514616146171461814619146201462114622146231462414625146261462714628146291463014631146321463314634146351463614637146381463914640146411464214643146441464514646146471464814649146501465114652146531465414655146561465714658146591466014661146621466314664146651466614667146681466914670146711467214673146741467514676146771467814679146801468114682146831468414685146861468714688146891469014691146921469314694146951469614697146981469914700147011470214703147041470514706147071470814709147101471114712147131471414715147161471714718147191472014721147221472314724147251472614727147281472914730147311473214733147341473514736147371473814739147401474114742147431474414745147461474714748147491475014751147521475314754147551475614757147581475914760147611476214763147641476514766147671476814769147701477114772147731477414775147761477714778147791478014781147821478314784147851478614787147881478914790147911479214793147941479514796147971479814799148001480114802148031480414805148061480714808148091481014811148121481314814148151481614817148181481914820148211482214823148241482514826148271482814829148301483114832148331483414835148361483714838148391484014841148421484314844148451484614847148481484914850148511485214853148541485514856148571485814859148601486114862148631486414865148661486714868148691487014871148721487314874148751487614877148781487914880148811488214883148841488514886148871488814889148901489114892148931489414895148961489714898148991490014901149021490314904149051490614907149081490914910149111491214913149141491514916149171491814919149201492114922149231492414925149261492714928149291493014931149321493314934149351493614937149381493914940149411494214943149441494514946149471494814949149501495114952149531495414955149561495714958149591496014961149621496314964149651496614967149681496914970149711497214973149741497514976149771497814979149801498114982149831498414985149861498714988149891499014991149921499314994149951499614997149981499915000150011500215003150041500515006150071500815009150101501115012150131501415015150161501715018150191502015021150221502315024150251502615027150281502915030150311503215033150341503515036150371503815039150401504115042150431504415045150461504715048150491505015051150521505315054150551505615057150581505915060150611506215063150641506515066150671506815069150701507115072150731507415075150761507715078150791508015081150821508315084150851508615087150881508915090150911509215093150941509515096150971509815099151001510115102151031510415105151061510715108151091511015111151121511315114151151511615117151181511915120151211512215123151241512515126151271512815129151301513115132151331513415135151361513715138151391514015141151421514315144151451514615147151481514915150151511515215153151541515515156151571515815159151601516115162151631516415165151661516715168151691517015171151721517315174151751517615177151781517915180151811518215183151841518515186151871518815189151901519115192151931519415195151961519715198151991520015201152021520315204152051520615207152081520915210152111521215213152141521515216152171521815219152201522115222152231522415225152261522715228152291523015231152321523315234152351523615237152381523915240152411524215243152441524515246152471524815249152501525115252152531525415255152561525715258152591526015261152621526315264152651526615267152681526915270152711527215273152741527515276152771527815279152801528115282152831528415285152861528715288152891529015291152921529315294152951529615297152981529915300153011530215303153041530515306153071530815309153101531115312153131531415315153161531715318153191532015321153221532315324153251532615327153281532915330153311533215333153341533515336153371533815339153401534115342153431534415345153461534715348153491535015351153521535315354153551535615357153581535915360153611536215363153641536515366153671536815369153701537115372153731537415375153761537715378153791538015381153821538315384153851538615387153881538915390153911539215393153941539515396153971539815399154001540115402154031540415405154061540715408154091541015411154121541315414154151541615417154181541915420154211542215423154241542515426154271542815429154301543115432154331543415435154361543715438154391544015441154421544315444154451544615447154481544915450154511545215453154541545515456154571545815459154601546115462154631546415465154661546715468154691547015471154721547315474154751547615477154781547915480154811548215483154841548515486154871548815489154901549115492154931549415495154961549715498154991550015501155021550315504155051550615507155081550915510155111551215513155141551515516155171551815519155201552115522155231552415525155261552715528155291553015531155321553315534155351553615537155381553915540155411554215543155441554515546155471554815549155501555115552155531555415555155561555715558155591556015561155621556315564155651556615567155681556915570155711557215573155741557515576155771557815579155801558115582155831558415585155861558715588155891559015591155921559315594155951559615597155981559915600156011560215603156041560515606156071560815609156101561115612156131561415615156161561715618156191562015621156221562315624156251562615627156281562915630156311563215633156341563515636156371563815639156401564115642156431564415645156461564715648156491565015651156521565315654156551565615657156581565915660156611566215663156641566515666156671566815669156701567115672156731567415675156761567715678156791568015681156821568315684156851568615687156881568915690156911569215693156941569515696156971569815699157001570115702157031570415705157061570715708157091571015711157121571315714157151571615717157181571915720157211572215723157241572515726157271572815729157301573115732157331573415735157361573715738157391574015741157421574315744157451574615747157481574915750157511575215753157541575515756157571575815759157601576115762157631576415765157661576715768157691577015771157721577315774157751577615777157781577915780157811578215783157841578515786157871578815789157901579115792157931579415795157961579715798157991580015801158021580315804158051580615807158081580915810158111581215813158141581515816158171581815819158201582115822158231582415825158261582715828158291583015831158321583315834158351583615837158381583915840158411584215843158441584515846158471584815849158501585115852158531585415855158561585715858158591586015861158621586315864158651586615867158681586915870158711587215873158741587515876158771587815879158801588115882158831588415885158861588715888158891589015891158921589315894158951589615897158981589915900159011590215903159041590515906159071590815909159101591115912159131591415915159161591715918159191592015921159221592315924159251592615927159281592915930159311593215933159341593515936159371593815939159401594115942159431594415945159461594715948159491595015951159521595315954159551595615957159581595915960159611596215963159641596515966159671596815969159701597115972159731597415975159761597715978159791598015981159821598315984159851598615987159881598915990159911599215993159941599515996159971599815999160001600116002160031600416005160061600716008160091601016011160121601316014160151601616017160181601916020160211602216023160241602516026160271602816029160301603116032160331603416035160361603716038160391604016041160421604316044160451604616047160481604916050160511605216053160541605516056160571605816059160601606116062160631606416065160661606716068160691607016071160721607316074160751607616077160781607916080160811608216083160841608516086160871608816089160901609116092160931609416095160961609716098160991610016101161021610316104161051610616107161081610916110161111611216113161141611516116161171611816119161201612116122161231612416125161261612716128161291613016131161321613316134161351613616137161381613916140161411614216143161441614516146161471614816149161501615116152161531615416155161561615716158161591616016161161621616316164161651616616167161681616916170161711617216173161741617516176161771617816179161801618116182161831618416185161861618716188161891619016191161921619316194161951619616197161981619916200162011620216203162041620516206162071620816209162101621116212162131621416215162161621716218162191622016221162221622316224162251622616227162281622916230162311623216233162341623516236162371623816239162401624116242162431624416245162461624716248162491625016251162521625316254162551625616257162581625916260162611626216263162641626516266162671626816269162701627116272162731627416275162761627716278162791628016281162821628316284162851628616287162881628916290162911629216293162941629516296162971629816299163001630116302163031630416305163061630716308163091631016311163121631316314163151631616317163181631916320163211632216323163241632516326163271632816329163301633116332163331633416335163361633716338163391634016341163421634316344163451634616347163481634916350163511635216353163541635516356163571635816359163601636116362163631636416365163661636716368163691637016371163721637316374163751637616377163781637916380163811638216383163841638516386163871638816389163901639116392163931639416395163961639716398163991640016401164021640316404164051640616407164081640916410164111641216413164141641516416164171641816419164201642116422164231642416425164261642716428164291643016431164321643316434164351643616437164381643916440164411644216443164441644516446164471644816449164501645116452164531645416455164561645716458164591646016461164621646316464164651646616467164681646916470164711647216473164741647516476164771647816479164801648116482164831648416485164861648716488164891649016491164921649316494164951649616497164981649916500165011650216503165041650516506165071650816509165101651116512165131651416515165161651716518165191652016521165221652316524165251652616527165281652916530165311653216533165341653516536165371653816539165401654116542165431654416545165461654716548165491655016551165521655316554165551655616557165581655916560165611656216563165641656516566165671656816569165701657116572165731657416575165761657716578165791658016581165821658316584165851658616587165881658916590165911659216593165941659516596165971659816599166001660116602166031660416605166061660716608166091661016611166121661316614166151661616617166181661916620166211662216623166241662516626166271662816629166301663116632166331663416635166361663716638166391664016641166421664316644166451664616647166481664916650166511665216653166541665516656166571665816659166601666116662166631666416665166661666716668166691667016671166721667316674166751667616677166781667916680166811668216683166841668516686166871668816689166901669116692166931669416695166961669716698166991670016701167021670316704167051670616707167081670916710167111671216713167141671516716167171671816719167201672116722167231672416725167261672716728167291673016731167321673316734167351673616737167381673916740167411674216743167441674516746167471674816749167501675116752167531675416755167561675716758167591676016761167621676316764167651676616767167681676916770167711677216773167741677516776167771677816779167801678116782167831678416785167861678716788167891679016791167921679316794167951679616797167981679916800168011680216803168041680516806168071680816809168101681116812168131681416815168161681716818168191682016821168221682316824168251682616827168281682916830168311683216833168341683516836168371683816839168401684116842168431684416845168461684716848168491685016851168521685316854168551685616857168581685916860168611686216863168641686516866168671686816869168701687116872168731687416875168761687716878168791688016881168821688316884168851688616887168881688916890168911689216893168941689516896168971689816899169001690116902169031690416905169061690716908169091691016911169121691316914169151691616917169181691916920169211692216923169241692516926169271692816929169301693116932169331693416935169361693716938169391694016941169421694316944169451694616947169481694916950169511695216953169541695516956169571695816959169601696116962169631696416965169661696716968169691697016971169721697316974169751697616977169781697916980169811698216983169841698516986169871698816989169901699116992169931699416995169961699716998169991700017001170021700317004170051700617007170081700917010170111701217013170141701517016170171701817019170201702117022170231702417025170261702717028170291703017031170321703317034170351703617037170381703917040170411704217043170441704517046170471704817049170501705117052170531705417055170561705717058170591706017061170621706317064170651706617067170681706917070170711707217073170741707517076170771707817079170801708117082170831708417085170861708717088170891709017091170921709317094170951709617097170981709917100171011710217103171041710517106171071710817109171101711117112171131711417115171161711717118171191712017121171221712317124171251712617127171281712917130171311713217133171341713517136171371713817139171401714117142171431714417145171461714717148171491715017151171521715317154171551715617157171581715917160171611716217163171641716517166171671716817169171701717117172171731717417175171761717717178171791718017181171821718317184171851718617187171881718917190171911719217193171941719517196171971719817199172001720117202172031720417205172061720717208172091721017211172121721317214172151721617217172181721917220172211722217223172241722517226172271722817229172301723117232172331723417235172361723717238172391724017241172421724317244172451724617247172481724917250172511725217253172541725517256172571725817259172601726117262172631726417265172661726717268172691727017271172721727317274172751727617277172781727917280172811728217283172841728517286172871728817289172901729117292172931729417295172961729717298172991730017301173021730317304173051730617307173081730917310173111731217313173141731517316173171731817319173201732117322173231732417325173261732717328173291733017331173321733317334173351733617337173381733917340173411734217343173441734517346173471734817349173501735117352173531735417355173561735717358173591736017361173621736317364173651736617367173681736917370173711737217373173741737517376173771737817379173801738117382173831738417385173861738717388173891739017391173921739317394173951739617397173981739917400174011740217403174041740517406174071740817409174101741117412174131741417415174161741717418174191742017421174221742317424174251742617427174281742917430174311743217433174341743517436174371743817439174401744117442174431744417445174461744717448174491745017451174521745317454174551745617457174581745917460174611746217463174641746517466174671746817469174701747117472174731747417475174761747717478174791748017481174821748317484174851748617487174881748917490174911749217493174941749517496174971749817499175001750117502175031750417505175061750717508175091751017511175121751317514175151751617517175181751917520175211752217523175241752517526175271752817529175301753117532175331753417535175361753717538175391754017541175421754317544175451754617547175481754917550175511755217553175541755517556175571755817559175601756117562175631756417565175661756717568175691757017571175721757317574175751757617577175781757917580175811758217583175841758517586175871758817589175901759117592175931759417595175961759717598175991760017601176021760317604176051760617607176081760917610176111761217613176141761517616176171761817619176201762117622176231762417625176261762717628176291763017631176321763317634176351763617637176381763917640176411764217643176441764517646176471764817649176501765117652176531765417655176561765717658176591766017661176621766317664176651766617667176681766917670176711767217673176741767517676176771767817679176801768117682176831768417685176861768717688176891769017691176921769317694176951769617697176981769917700177011770217703177041770517706177071770817709177101771117712177131771417715177161771717718177191772017721177221772317724177251772617727177281772917730177311773217733177341773517736177371773817739177401774117742177431774417745177461774717748177491775017751177521775317754177551775617757177581775917760177611776217763177641776517766177671776817769177701777117772177731777417775177761777717778177791778017781177821778317784177851778617787177881778917790177911779217793177941779517796177971779817799178001780117802178031780417805178061780717808178091781017811178121781317814178151781617817178181781917820178211782217823178241782517826178271782817829178301783117832178331783417835178361783717838178391784017841178421784317844178451784617847178481784917850178511785217853178541785517856178571785817859178601786117862178631786417865178661786717868178691787017871178721787317874178751787617877178781787917880178811788217883178841788517886178871788817889178901789117892178931789417895178961789717898178991790017901179021790317904179051790617907179081790917910179111791217913179141791517916179171791817919179201792117922179231792417925179261792717928179291793017931179321793317934179351793617937179381793917940179411794217943179441794517946179471794817949179501795117952179531795417955179561795717958179591796017961179621796317964179651796617967179681796917970179711797217973179741797517976179771797817979179801798117982179831798417985179861798717988179891799017991179921799317994179951799617997179981799918000180011800218003180041800518006180071800818009180101801118012180131801418015180161801718018180191802018021180221802318024180251802618027180281802918030180311803218033180341803518036180371803818039180401804118042180431804418045180461804718048180491805018051180521805318054180551805618057180581805918060180611806218063180641806518066180671806818069180701807118072180731807418075180761807718078180791808018081180821808318084180851808618087180881808918090180911809218093180941809518096180971809818099181001810118102181031810418105181061810718108181091811018111181121811318114181151811618117181181811918120181211812218123181241812518126181271812818129181301813118132181331813418135181361813718138181391814018141181421814318144181451814618147181481814918150181511815218153181541815518156181571815818159181601816118162181631816418165181661816718168181691817018171181721817318174181751817618177181781817918180181811818218183181841818518186181871818818189181901819118192181931819418195181961819718198181991820018201182021820318204182051820618207182081820918210182111821218213182141821518216182171821818219182201822118222182231822418225182261822718228182291823018231182321823318234182351823618237182381823918240182411824218243182441824518246182471824818249182501825118252182531825418255182561825718258182591826018261182621826318264182651826618267182681826918270182711827218273182741827518276182771827818279182801828118282182831828418285182861828718288182891829018291182921829318294182951829618297182981829918300183011830218303183041830518306183071830818309183101831118312183131831418315183161831718318183191832018321183221832318324183251832618327183281832918330183311833218333183341833518336183371833818339183401834118342183431834418345183461834718348183491835018351183521835318354183551835618357183581835918360183611836218363183641836518366183671836818369183701837118372183731837418375183761837718378183791838018381183821838318384183851838618387183881838918390183911839218393183941839518396183971839818399184001840118402184031840418405184061840718408184091841018411184121841318414184151841618417184181841918420184211842218423184241842518426184271842818429184301843118432184331843418435184361843718438184391844018441184421844318444184451844618447184481844918450184511845218453184541845518456184571845818459184601846118462184631846418465184661846718468184691847018471184721847318474184751847618477184781847918480184811848218483184841848518486184871848818489184901849118492184931849418495184961849718498184991850018501185021850318504185051850618507185081850918510185111851218513185141851518516185171851818519185201852118522185231852418525185261852718528185291853018531185321853318534185351853618537185381853918540185411854218543185441854518546185471854818549185501855118552185531855418555185561855718558185591856018561185621856318564185651856618567185681856918570185711857218573185741857518576185771857818579185801858118582185831858418585185861858718588185891859018591185921859318594185951859618597185981859918600186011860218603186041860518606186071860818609186101861118612186131861418615186161861718618186191862018621186221862318624186251862618627186281862918630186311863218633186341863518636186371863818639186401864118642186431864418645186461864718648186491865018651186521865318654186551865618657186581865918660186611866218663186641866518666186671866818669186701867118672186731867418675186761867718678186791868018681186821868318684186851868618687186881868918690186911869218693186941869518696186971869818699187001870118702187031870418705187061870718708187091871018711187121871318714187151871618717187181871918720187211872218723187241872518726187271872818729187301873118732187331873418735187361873718738187391874018741187421874318744187451874618747187481874918750187511875218753187541875518756187571875818759187601876118762187631876418765187661876718768187691877018771187721877318774187751877618777187781877918780187811878218783187841878518786187871878818789187901879118792187931879418795187961879718798187991880018801188021880318804188051880618807188081880918810188111881218813188141881518816188171881818819188201882118822188231882418825188261882718828188291883018831188321883318834188351883618837188381883918840188411884218843188441884518846188471884818849188501885118852188531885418855188561885718858188591886018861188621886318864188651886618867188681886918870188711887218873188741887518876188771887818879188801888118882188831888418885188861888718888188891889018891188921889318894188951889618897188981889918900189011890218903189041890518906189071890818909189101891118912189131891418915189161891718918189191892018921189221892318924189251892618927189281892918930189311893218933189341893518936189371893818939189401894118942189431894418945189461894718948189491895018951189521895318954189551895618957189581895918960189611896218963189641896518966189671896818969189701897118972189731897418975189761897718978189791898018981189821898318984189851898618987189881898918990189911899218993189941899518996189971899818999190001900119002190031900419005190061900719008190091901019011190121901319014190151901619017190181901919020190211902219023190241902519026190271902819029190301903119032190331903419035190361903719038190391904019041190421904319044190451904619047190481904919050190511905219053190541905519056190571905819059190601906119062190631906419065190661906719068190691907019071190721907319074190751907619077190781907919080190811908219083190841908519086190871908819089190901909119092190931909419095190961909719098190991910019101191021910319104191051910619107191081910919110191111911219113191141911519116191171911819119191201912119122191231912419125191261912719128191291913019131191321913319134191351913619137191381913919140191411914219143191441914519146191471914819149191501915119152191531915419155191561915719158191591916019161191621916319164191651916619167191681916919170191711917219173191741917519176191771917819179191801918119182191831918419185191861918719188191891919019191191921919319194191951919619197191981919919200192011920219203192041920519206192071920819209192101921119212192131921419215192161921719218192191922019221192221922319224192251922619227192281922919230192311923219233192341923519236192371923819239192401924119242192431924419245192461924719248192491925019251192521925319254192551925619257192581925919260192611926219263192641926519266192671926819269192701927119272192731927419275192761927719278192791928019281192821928319284192851928619287192881928919290192911929219293192941929519296192971929819299193001930119302193031930419305193061930719308193091931019311193121931319314193151931619317193181931919320193211932219323193241932519326193271932819329193301933119332193331933419335193361933719338193391934019341193421934319344193451934619347193481934919350193511935219353193541935519356193571935819359193601936119362193631936419365193661936719368193691937019371193721937319374193751937619377193781937919380193811938219383193841938519386193871938819389193901939119392193931939419395193961939719398193991940019401194021940319404194051940619407194081940919410194111941219413194141941519416194171941819419194201942119422194231942419425194261942719428194291943019431194321943319434194351943619437194381943919440194411944219443194441944519446194471944819449194501945119452194531945419455194561945719458194591946019461194621946319464194651946619467194681946919470194711947219473194741947519476194771947819479194801948119482194831948419485194861948719488194891949019491194921949319494194951949619497194981949919500195011950219503195041950519506195071950819509195101951119512195131951419515195161951719518195191952019521195221952319524195251952619527195281952919530195311953219533195341953519536195371953819539195401954119542195431954419545195461954719548195491955019551195521955319554195551955619557195581955919560195611956219563195641956519566195671956819569195701957119572195731957419575195761957719578195791958019581195821958319584195851958619587195881958919590195911959219593195941959519596195971959819599196001960119602196031960419605196061960719608196091961019611196121961319614196151961619617196181961919620196211962219623196241962519626196271962819629196301963119632196331963419635196361963719638196391964019641196421964319644196451964619647196481964919650196511965219653196541965519656196571965819659196601966119662196631966419665196661966719668196691967019671196721967319674196751967619677196781967919680196811968219683196841968519686196871968819689196901969119692196931969419695196961969719698196991970019701197021970319704197051970619707197081970919710197111971219713197141971519716197171971819719197201972119722197231972419725197261972719728197291973019731197321973319734197351973619737197381973919740197411974219743197441974519746197471974819749197501975119752197531975419755197561975719758197591976019761197621976319764197651976619767197681976919770197711977219773197741977519776197771977819779197801978119782197831978419785197861978719788197891979019791197921979319794197951979619797197981979919800198011980219803198041980519806198071980819809198101981119812198131981419815198161981719818198191982019821198221982319824198251982619827198281982919830198311983219833198341983519836198371983819839198401984119842198431984419845198461984719848198491985019851198521985319854198551985619857198581985919860198611986219863198641986519866198671986819869198701987119872198731987419875198761987719878198791988019881198821988319884198851988619887198881988919890198911989219893198941989519896198971989819899199001990119902199031990419905199061990719908199091991019911199121991319914199151991619917199181991919920199211992219923199241992519926199271992819929199301993119932199331993419935199361993719938199391994019941199421994319944199451994619947199481994919950199511995219953199541995519956199571995819959199601996119962199631996419965199661996719968199691997019971199721997319974199751997619977199781997919980199811998219983199841998519986199871998819989199901999119992199931999419995199961999719998199992000020001200022000320004200052000620007200082000920010200112001220013200142001520016200172001820019200202002120022200232002420025200262002720028200292003020031200322003320034200352003620037200382003920040200412004220043200442004520046200472004820049200502005120052200532005420055200562005720058200592006020061200622006320064200652006620067200682006920070200712007220073200742007520076200772007820079200802008120082200832008420085200862008720088200892009020091200922009320094200952009620097200982009920100201012010220103201042010520106201072010820109201102011120112201132011420115201162011720118201192012020121201222012320124201252012620127201282012920130201312013220133201342013520136201372013820139201402014120142201432014420145201462014720148201492015020151201522015320154201552015620157201582015920160201612016220163201642016520166201672016820169201702017120172201732017420175201762017720178201792018020181201822018320184201852018620187201882018920190201912019220193201942019520196201972019820199202002020120202202032020420205202062020720208202092021020211202122021320214202152021620217202182021920220202212022220223202242022520226202272022820229202302023120232202332023420235202362023720238202392024020241202422024320244202452024620247202482024920250202512025220253202542025520256202572025820259202602026120262202632026420265202662026720268202692027020271202722027320274202752027620277202782027920280202812028220283202842028520286202872028820289202902029120292202932029420295202962029720298202992030020301203022030320304203052030620307203082030920310203112031220313203142031520316203172031820319203202032120322203232032420325203262032720328203292033020331203322033320334203352033620337203382033920340203412034220343203442034520346203472034820349203502035120352203532035420355203562035720358203592036020361203622036320364203652036620367203682036920370203712037220373203742037520376203772037820379203802038120382203832038420385203862038720388203892039020391203922039320394203952039620397203982039920400204012040220403204042040520406204072040820409204102041120412204132041420415204162041720418204192042020421204222042320424204252042620427204282042920430204312043220433204342043520436204372043820439204402044120442204432044420445204462044720448204492045020451204522045320454204552045620457204582045920460204612046220463204642046520466204672046820469204702047120472204732047420475204762047720478204792048020481204822048320484204852048620487204882048920490204912049220493204942049520496204972049820499205002050120502205032050420505205062050720508205092051020511205122051320514205152051620517205182051920520205212052220523205242052520526205272052820529205302053120532205332053420535205362053720538205392054020541205422054320544205452054620547205482054920550205512055220553205542055520556205572055820559205602056120562205632056420565205662056720568205692057020571205722057320574205752057620577205782057920580205812058220583205842058520586205872058820589205902059120592205932059420595205962059720598205992060020601206022060320604206052060620607206082060920610206112061220613206142061520616206172061820619206202062120622206232062420625206262062720628206292063020631206322063320634206352063620637206382063920640206412064220643206442064520646206472064820649206502065120652206532065420655206562065720658206592066020661206622066320664206652066620667206682066920670206712067220673206742067520676206772067820679206802068120682206832068420685206862068720688206892069020691206922069320694206952069620697206982069920700207012070220703207042070520706207072070820709207102071120712207132071420715207162071720718207192072020721207222072320724207252072620727207282072920730207312073220733207342073520736207372073820739207402074120742207432074420745207462074720748207492075020751207522075320754207552075620757207582075920760207612076220763207642076520766207672076820769207702077120772207732077420775207762077720778207792078020781207822078320784207852078620787207882078920790207912079220793207942079520796207972079820799208002080120802208032080420805208062080720808208092081020811208122081320814208152081620817208182081920820208212082220823208242082520826208272082820829208302083120832208332083420835208362083720838208392084020841208422084320844208452084620847208482084920850208512085220853208542085520856208572085820859208602086120862208632086420865208662086720868208692087020871208722087320874208752087620877208782087920880208812088220883208842088520886208872088820889208902089120892208932089420895208962089720898208992090020901209022090320904209052090620907209082090920910209112091220913209142091520916209172091820919209202092120922209232092420925209262092720928209292093020931209322093320934209352093620937209382093920940209412094220943209442094520946209472094820949209502095120952209532095420955209562095720958209592096020961209622096320964209652096620967209682096920970209712097220973209742097520976209772097820979209802098120982209832098420985209862098720988209892099020991209922099320994209952099620997209982099921000210012100221003210042100521006210072100821009210102101121012210132101421015210162101721018210192102021021210222102321024210252102621027210282102921030210312103221033210342103521036210372103821039210402104121042210432104421045210462104721048210492105021051210522105321054210552105621057210582105921060210612106221063210642106521066210672106821069210702107121072210732107421075210762107721078210792108021081210822108321084210852108621087210882108921090210912109221093210942109521096210972109821099211002110121102211032110421105211062110721108211092111021111211122111321114211152111621117211182111921120211212112221123211242112521126211272112821129211302113121132211332113421135211362113721138211392114021141211422114321144211452114621147211482114921150211512115221153211542115521156211572115821159211602116121162211632116421165211662116721168211692117021171211722117321174211752117621177211782117921180211812118221183211842118521186211872118821189211902119121192211932119421195211962119721198211992120021201212022120321204212052120621207212082120921210212112121221213212142121521216212172121821219212202122121222212232122421225212262122721228212292123021231212322123321234212352123621237212382123921240212412124221243212442124521246212472124821249212502125121252212532125421255212562125721258212592126021261212622126321264212652126621267212682126921270212712127221273212742127521276212772127821279212802128121282212832128421285212862128721288212892129021291212922129321294212952129621297212982129921300213012130221303213042130521306213072130821309213102131121312213132131421315213162131721318213192132021321213222132321324213252132621327213282132921330213312133221333213342133521336213372133821339213402134121342213432134421345213462134721348213492135021351213522135321354213552135621357213582135921360213612136221363213642136521366213672136821369213702137121372213732137421375213762137721378213792138021381213822138321384213852138621387213882138921390213912139221393213942139521396213972139821399214002140121402214032140421405214062140721408214092141021411214122141321414214152141621417214182141921420214212142221423214242142521426214272142821429214302143121432214332143421435214362143721438214392144021441214422144321444214452144621447214482144921450214512145221453214542145521456214572145821459214602146121462214632146421465214662146721468214692147021471214722147321474214752147621477214782147921480214812148221483214842148521486214872148821489214902149121492214932149421495214962149721498214992150021501215022150321504215052150621507215082150921510215112151221513215142151521516215172151821519215202152121522215232152421525215262152721528215292153021531215322153321534215352153621537215382153921540215412154221543215442154521546215472154821549215502155121552215532155421555215562155721558215592156021561215622156321564215652156621567215682156921570215712157221573215742157521576215772157821579215802158121582215832158421585215862158721588215892159021591215922159321594215952159621597215982159921600216012160221603216042160521606216072160821609216102161121612216132161421615216162161721618216192162021621216222162321624216252162621627216282162921630216312163221633216342163521636216372163821639216402164121642216432164421645216462164721648216492165021651216522165321654216552165621657216582165921660216612166221663216642166521666216672166821669216702167121672216732167421675216762167721678216792168021681216822168321684216852168621687216882168921690216912169221693216942169521696216972169821699217002170121702217032170421705217062170721708217092171021711217122171321714217152171621717217182171921720217212172221723217242172521726217272172821729217302173121732217332173421735217362173721738217392174021741217422174321744217452174621747217482174921750217512175221753217542175521756217572175821759217602176121762217632176421765217662176721768217692177021771217722177321774217752177621777217782177921780217812178221783217842178521786217872178821789217902179121792217932179421795217962179721798217992180021801218022180321804218052180621807218082180921810218112181221813218142181521816218172181821819218202182121822218232182421825218262182721828218292183021831218322183321834218352183621837218382183921840218412184221843218442184521846218472184821849218502185121852218532185421855218562185721858218592186021861218622186321864218652186621867218682186921870218712187221873218742187521876218772187821879218802188121882218832188421885218862188721888218892189021891218922189321894218952189621897218982189921900219012190221903219042190521906219072190821909219102191121912219132191421915219162191721918219192192021921219222192321924219252192621927219282192921930219312193221933219342193521936219372193821939219402194121942219432194421945219462194721948219492195021951219522195321954219552195621957219582195921960219612196221963219642196521966219672196821969219702197121972219732197421975219762197721978219792198021981219822198321984219852198621987219882198921990219912199221993219942199521996219972199821999220002200122002220032200422005220062200722008220092201022011220122201322014220152201622017220182201922020220212202222023220242202522026220272202822029220302203122032220332203422035220362203722038220392204022041220422204322044220452204622047220482204922050220512205222053220542205522056220572205822059220602206122062220632206422065220662206722068220692207022071220722207322074220752207622077220782207922080220812208222083220842208522086220872208822089220902209122092220932209422095220962209722098220992210022101221022210322104221052210622107221082210922110221112211222113221142211522116221172211822119221202212122122221232212422125221262212722128221292213022131221322213322134221352213622137221382213922140221412214222143221442214522146221472214822149221502215122152221532215422155221562215722158221592216022161221622216322164221652216622167221682216922170221712217222173221742217522176221772217822179221802218122182221832218422185221862218722188221892219022191221922219322194221952219622197221982219922200222012220222203222042220522206222072220822209222102221122212222132221422215222162221722218222192222022221222222222322224222252222622227222282222922230222312223222233222342223522236222372223822239222402224122242222432224422245222462224722248222492225022251222522225322254222552225622257222582225922260222612226222263222642226522266222672226822269222702227122272222732227422275222762227722278222792228022281222822228322284222852228622287222882228922290222912229222293222942229522296222972229822299223002230122302223032230422305223062230722308223092231022311223122231322314223152231622317223182231922320223212232222323223242232522326223272232822329223302233122332223332233422335223362233722338223392234022341223422234322344223452234622347223482234922350223512235222353223542235522356223572235822359223602236122362223632236422365223662236722368223692237022371223722237322374223752237622377223782237922380223812238222383223842238522386223872238822389223902239122392223932239422395223962239722398223992240022401224022240322404224052240622407224082240922410224112241222413224142241522416224172241822419224202242122422224232242422425224262242722428224292243022431224322243322434224352243622437224382243922440224412244222443224442244522446224472244822449224502245122452224532245422455224562245722458224592246022461224622246322464224652246622467224682246922470224712247222473224742247522476224772247822479224802248122482224832248422485224862248722488224892249022491224922249322494224952249622497224982249922500225012250222503225042250522506225072250822509225102251122512225132251422515225162251722518225192252022521225222252322524225252252622527225282252922530225312253222533225342253522536225372253822539225402254122542225432254422545225462254722548225492255022551225522255322554225552255622557225582255922560225612256222563225642256522566225672256822569225702257122572225732257422575225762257722578225792258022581225822258322584225852258622587225882258922590225912259222593225942259522596225972259822599226002260122602226032260422605226062260722608226092261022611226122261322614226152261622617226182261922620226212262222623226242262522626226272262822629226302263122632226332263422635226362263722638226392264022641226422264322644226452264622647226482264922650226512265222653226542265522656226572265822659226602266122662226632266422665226662266722668226692267022671226722267322674226752267622677226782267922680226812268222683226842268522686226872268822689226902269122692226932269422695226962269722698226992270022701227022270322704227052270622707227082270922710227112271222713227142271522716227172271822719227202272122722227232272422725227262272722728227292273022731227322273322734227352273622737227382273922740227412274222743227442274522746227472274822749227502275122752227532275422755227562275722758227592276022761227622276322764227652276622767227682276922770227712277222773227742277522776227772277822779227802278122782227832278422785227862278722788227892279022791227922279322794227952279622797227982279922800228012280222803228042280522806228072280822809228102281122812228132281422815228162281722818228192282022821228222282322824228252282622827228282282922830228312283222833228342283522836228372283822839228402284122842228432284422845228462284722848228492285022851228522285322854228552285622857228582285922860228612286222863228642286522866228672286822869228702287122872228732287422875228762287722878228792288022881228822288322884228852288622887228882288922890228912289222893228942289522896228972289822899229002290122902229032290422905229062290722908229092291022911229122291322914229152291622917229182291922920229212292222923229242292522926229272292822929229302293122932229332293422935229362293722938229392294022941229422294322944229452294622947229482294922950229512295222953229542295522956229572295822959229602296122962229632296422965229662296722968229692297022971229722297322974229752297622977229782297922980229812298222983229842298522986229872298822989229902299122992229932299422995229962299722998229992300023001230022300323004230052300623007230082300923010230112301223013230142301523016230172301823019230202302123022230232302423025230262302723028230292303023031230322303323034230352303623037230382303923040 |
- 2022-01-17 12:58:15,351:INFO:PyCaret Supervised Module
- 2022-01-17 12:58:15,352:INFO:ML Usecase: classification
- 2022-01-17 12:58:15,352:INFO:version 2.3.6
- 2022-01-17 12:58:15,352:INFO:Initializing setup()
- 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)
- 2022-01-17 12:58:15,352:INFO:Checking environment
- 2022-01-17 12:58:15,353:INFO:python_version: 3.8.8
- 2022-01-17 12:58:15,353:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 12:58:15,353:INFO:machine: x86_64
- 2022-01-17 12:58:15,353:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 12:58:15,354:INFO:Physical Core: 16
- 2022-01-17 12:58:15,354:INFO:Logical Core: 32
- 2022-01-17 12:58:15,354:INFO:Checking libraries
- 2022-01-17 12:58:15,355:INFO:pd==1.2.4
- 2022-01-17 12:58:15,355:INFO:numpy==1.19.5
- 2022-01-17 12:58:15,355:INFO:sklearn==0.23.2
- 2022-01-17 12:58:15,355:INFO:lightgbm==3.3.2
- 2022-01-17 12:58:15,356:WARNING:catboost not found
- 2022-01-17 12:58:15,356:WARNING:xgboost not found
- 2022-01-17 12:58:15,477:INFO:mlflow==1.22.0
- 2022-01-17 12:58:15,477:INFO:Checking Exceptions
- 2022-01-17 12:58:15,478:INFO:Declaring global variables
- 2022-01-17 12:58:15,478:INFO:USI: c57c
- 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'}
- 2022-01-17 12:58:15,478:INFO:Preparing display monitor
- 2022-01-17 12:58:15,478:INFO:Preparing display monitor
- 2022-01-17 12:58:15,487:INFO:Importing libraries
- 2022-01-17 12:58:15,487:INFO:Copying data for preprocessing
- 2022-01-17 12:58:15,492:INFO:Declaring preprocessing parameters
- 2022-01-17 12:58:15,494:INFO:Creating preprocessing pipeline
- 2022-01-17 12:58:15,508:INFO:Preprocessing pipeline created successfully
- 2022-01-17 12:58:15,509:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 12:58:15,509:INFO:Creating global containers
- 2022-01-17 12:58:15,510:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 12:59:42,168:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 12:59:42,168:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 12:59:42,214:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 12:59:42,215:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 12:59:42,215:INFO:Creating grid variables
- 2022-01-17 12:59:42,226:INFO:create_model_container: 0
- 2022-01-17 12:59:42,226:INFO:master_model_container: 0
- 2022-01-17 12:59:42,226:INFO:display_container: 1
- 2022-01-17 12:59:42,229:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 12:59:42,229:INFO:setup() succesfully completed......................................
- 2022-01-17 13:01:00,918:INFO:PyCaret Supervised Module
- 2022-01-17 13:01:00,918:INFO:ML Usecase: classification
- 2022-01-17 13:01:00,919:INFO:version 2.3.6
- 2022-01-17 13:01:00,919:INFO:Initializing setup()
- 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)
- 2022-01-17 13:01:00,919:INFO:Checking environment
- 2022-01-17 13:01:00,919:INFO:python_version: 3.8.8
- 2022-01-17 13:01:00,920:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 13:01:00,920:INFO:machine: x86_64
- 2022-01-17 13:01:00,920:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 13:01:00,921:INFO:Physical Core: 16
- 2022-01-17 13:01:00,921:INFO:Logical Core: 32
- 2022-01-17 13:01:00,921:INFO:Checking libraries
- 2022-01-17 13:01:00,921:INFO:pd==1.2.4
- 2022-01-17 13:01:00,922:INFO:numpy==1.19.5
- 2022-01-17 13:01:00,922:INFO:sklearn==0.23.2
- 2022-01-17 13:01:00,922:INFO:lightgbm==3.3.2
- 2022-01-17 13:01:00,922:WARNING:catboost not found
- 2022-01-17 13:01:00,923:WARNING:xgboost not found
- 2022-01-17 13:01:00,923:INFO:mlflow==1.22.0
- 2022-01-17 13:01:00,923:INFO:Checking Exceptions
- 2022-01-17 13:01:00,923:INFO:Declaring global variables
- 2022-01-17 13:01:00,924:INFO:USI: 2fbd
- 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'}
- 2022-01-17 13:01:00,924:INFO:Preparing display monitor
- 2022-01-17 13:01:00,924:INFO:Preparing display monitor
- 2022-01-17 13:01:00,931:INFO:Importing libraries
- 2022-01-17 13:01:00,931:INFO:Copying data for preprocessing
- 2022-01-17 13:01:00,936:INFO:Declaring preprocessing parameters
- 2022-01-17 13:01:00,937:WARNING:cuML not found
- 2022-01-17 13:01:00,937:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 13:01:00,938:INFO:Creating preprocessing pipeline
- 2022-01-17 13:01:00,952:INFO:Preprocessing pipeline created successfully
- 2022-01-17 13:01:00,953:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 13:01:00,953:INFO:Creating global containers
- 2022-01-17 13:01:00,953:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 13:01:06,482:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 13:01:06,511:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 13:01:06,511:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 13:01:06,512:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 13:01:06,527:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 13:01:06,530:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 13:01:06,532:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 13:01:06,540:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 13:01:06,541:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 13:01:06,573:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 13:01:06,574:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 13:01:06,575:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 13:01:06,590:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 13:01:06,593:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 13:01:06,594:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 13:01:06,598:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 13:01:06,599:INFO:Creating grid variables
- 2022-01-17 13:01:06,609:INFO:create_model_container: 0
- 2022-01-17 13:01:06,609:INFO:master_model_container: 0
- 2022-01-17 13:01:06,610:INFO:display_container: 1
- 2022-01-17 13:01:06,613:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:01:06,613:INFO:setup() succesfully completed......................................
- 2022-01-17 13:02:34,311:INFO:Initializing compare_models()
- 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)
- 2022-01-17 13:02:34,311:INFO:Checking exceptions
- 2022-01-17 13:02:34,312:INFO:Preparing display monitor
- 2022-01-17 13:02:34,312:INFO:Preparing display monitor
- 2022-01-17 13:02:34,329:INFO:Initializing Logistic Regression
- 2022-01-17 13:02:34,329:INFO:Total runtime is 6.2783559163411456e-06 minutes
- 2022-01-17 13:02:34,334:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:34,335:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:34,335:INFO:Checking exceptions
- 2022-01-17 13:02:34,335:INFO:Importing libraries
- 2022-01-17 13:02:34,335:INFO:Copying training dataset
- 2022-01-17 13:02:34,336:INFO:Defining folds
- 2022-01-17 13:02:34,336:INFO:Declaring metric variables
- 2022-01-17 13:02:34,341:INFO:Importing untrained model
- 2022-01-17 13:02:34,346:INFO:Logistic Regression Imported succesfully
- 2022-01-17 13:02:34,356:INFO:Starting cross validation
- 2022-01-17 13:02:34,356:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:44,123:INFO:Calculating mean and std
- 2022-01-17 13:02:44,124:INFO:Creating metrics dataframe
- 2022-01-17 13:02:44,130:INFO:Uploading results into container
- 2022-01-17 13:02:44,130:INFO:Uploading model into container now
- 2022-01-17 13:02:44,131:INFO:create_model_container: 1
- 2022-01-17 13:02:44,131:INFO:master_model_container: 1
- 2022-01-17 13:02:44,132:INFO:display_container: 2
- 2022-01-17 13:02:44,132:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=2921, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 13:02:44,133:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:44,212:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:44,213:INFO:Creating metrics dataframe
- 2022-01-17 13:02:44,222:INFO:Initializing K Neighbors Classifier
- 2022-01-17 13:02:44,222:INFO:Total runtime is 0.16488877932230633 minutes
- 2022-01-17 13:02:44,228:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:44,228:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:44,228:INFO:Checking exceptions
- 2022-01-17 13:02:44,228:INFO:Importing libraries
- 2022-01-17 13:02:44,229:INFO:Copying training dataset
- 2022-01-17 13:02:44,229:INFO:Defining folds
- 2022-01-17 13:02:44,230:INFO:Declaring metric variables
- 2022-01-17 13:02:44,234:INFO:Importing untrained model
- 2022-01-17 13:02:44,239:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 13:02:44,249:INFO:Starting cross validation
- 2022-01-17 13:02:44,249:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:48,557:INFO:Calculating mean and std
- 2022-01-17 13:02:48,558:INFO:Creating metrics dataframe
- 2022-01-17 13:02:48,561:INFO:Uploading results into container
- 2022-01-17 13:02:48,561:INFO:Uploading model into container now
- 2022-01-17 13:02:48,561:INFO:create_model_container: 2
- 2022-01-17 13:02:48,561:INFO:master_model_container: 2
- 2022-01-17 13:02:48,562:INFO:display_container: 2
- 2022-01-17 13:02:48,562:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 13:02:48,562:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:48,650:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:48,650:INFO:Creating metrics dataframe
- 2022-01-17 13:02:48,661:INFO:Initializing Naive Bayes
- 2022-01-17 13:02:48,661:INFO:Total runtime is 0.23887631893157962 minutes
- 2022-01-17 13:02:48,667:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:48,667:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:48,668:INFO:Checking exceptions
- 2022-01-17 13:02:48,668:INFO:Importing libraries
- 2022-01-17 13:02:48,668:INFO:Copying training dataset
- 2022-01-17 13:02:48,669:INFO:Defining folds
- 2022-01-17 13:02:48,670:INFO:Declaring metric variables
- 2022-01-17 13:02:48,674:INFO:Importing untrained model
- 2022-01-17 13:02:48,679:INFO:Naive Bayes Imported succesfully
- 2022-01-17 13:02:48,691:INFO:Starting cross validation
- 2022-01-17 13:02:48,691:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:48,807:INFO:Calculating mean and std
- 2022-01-17 13:02:48,808:INFO:Creating metrics dataframe
- 2022-01-17 13:02:48,810:INFO:Uploading results into container
- 2022-01-17 13:02:48,811:INFO:Uploading model into container now
- 2022-01-17 13:02:48,811:INFO:create_model_container: 3
- 2022-01-17 13:02:48,811:INFO:master_model_container: 3
- 2022-01-17 13:02:48,811:INFO:display_container: 2
- 2022-01-17 13:02:48,811:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 13:02:48,812:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:48,877:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:48,878:INFO:Creating metrics dataframe
- 2022-01-17 13:02:48,888:INFO:Initializing Decision Tree Classifier
- 2022-01-17 13:02:48,888:INFO:Total runtime is 0.24265816609064741 minutes
- 2022-01-17 13:02:48,894:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:48,894:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:48,894:INFO:Checking exceptions
- 2022-01-17 13:02:48,894:INFO:Importing libraries
- 2022-01-17 13:02:48,894:INFO:Copying training dataset
- 2022-01-17 13:02:48,895:INFO:Defining folds
- 2022-01-17 13:02:48,895:INFO:Declaring metric variables
- 2022-01-17 13:02:48,900:INFO:Importing untrained model
- 2022-01-17 13:02:48,905:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 13:02:48,915:INFO:Starting cross validation
- 2022-01-17 13:02:48,915:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:49,163:INFO:Calculating mean and std
- 2022-01-17 13:02:49,164:INFO:Creating metrics dataframe
- 2022-01-17 13:02:49,167:INFO:Uploading results into container
- 2022-01-17 13:02:49,167:INFO:Uploading model into container now
- 2022-01-17 13:02:49,167:INFO:create_model_container: 4
- 2022-01-17 13:02:49,167:INFO:master_model_container: 4
- 2022-01-17 13:02:49,167:INFO:display_container: 2
- 2022-01-17 13:02:49,168:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:02:49,168:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:49,232:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:49,232:INFO:Creating metrics dataframe
- 2022-01-17 13:02:49,243:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 13:02:49,243:INFO:Total runtime is 0.24857445557912194 minutes
- 2022-01-17 13:02:49,248:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:49,249:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:49,249:INFO:Checking exceptions
- 2022-01-17 13:02:49,249:INFO:Importing libraries
- 2022-01-17 13:02:49,249:INFO:Copying training dataset
- 2022-01-17 13:02:49,250:INFO:Defining folds
- 2022-01-17 13:02:49,250:INFO:Declaring metric variables
- 2022-01-17 13:02:49,256:INFO:Importing untrained model
- 2022-01-17 13:02:49,261:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 13:02:49,271:INFO:Starting cross validation
- 2022-01-17 13:02:49,271:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:50,627:INFO:Calculating mean and std
- 2022-01-17 13:02:50,628:INFO:Creating metrics dataframe
- 2022-01-17 13:02:50,632:INFO:Uploading results into container
- 2022-01-17 13:02:50,633:INFO:Uploading model into container now
- 2022-01-17 13:02:50,633:INFO:create_model_container: 5
- 2022-01-17 13:02:50,633:INFO:master_model_container: 5
- 2022-01-17 13:02:50,634:INFO:display_container: 2
- 2022-01-17 13:02:50,634:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=2921, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 13:02:50,634:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:50,733:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:50,734:INFO:Creating metrics dataframe
- 2022-01-17 13:02:50,746:INFO:Initializing Ridge Classifier
- 2022-01-17 13:02:50,746:INFO:Total runtime is 0.2736153244972229 minutes
- 2022-01-17 13:02:50,751:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:50,751:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:50,752:INFO:Checking exceptions
- 2022-01-17 13:02:50,752:INFO:Importing libraries
- 2022-01-17 13:02:50,753:INFO:Copying training dataset
- 2022-01-17 13:02:50,753:INFO:Defining folds
- 2022-01-17 13:02:50,754:INFO:Declaring metric variables
- 2022-01-17 13:02:50,759:INFO:Importing untrained model
- 2022-01-17 13:02:50,765:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 13:02:50,776:INFO:Starting cross validation
- 2022-01-17 13:02:50,777:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:51,127:INFO:Calculating mean and std
- 2022-01-17 13:02:51,137:INFO:Creating metrics dataframe
- 2022-01-17 13:02:51,148:INFO:Uploading results into container
- 2022-01-17 13:02:51,148:INFO:Uploading model into container now
- 2022-01-17 13:02:51,149:INFO:create_model_container: 6
- 2022-01-17 13:02:51,149:INFO:master_model_container: 6
- 2022-01-17 13:02:51,149:INFO:display_container: 2
- 2022-01-17 13:02:51,149:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=2921,
- solver='auto', tol=0.001)
- 2022-01-17 13:02:51,150:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:51,247:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:51,248:INFO:Creating metrics dataframe
- 2022-01-17 13:02:51,259:INFO:Initializing Random Forest Classifier
- 2022-01-17 13:02:51,259:INFO:Total runtime is 0.2821757952372233 minutes
- 2022-01-17 13:02:51,265:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:51,265:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:51,266:INFO:Checking exceptions
- 2022-01-17 13:02:51,266:INFO:Importing libraries
- 2022-01-17 13:02:51,266:INFO:Copying training dataset
- 2022-01-17 13:02:51,267:INFO:Defining folds
- 2022-01-17 13:02:51,267:INFO:Declaring metric variables
- 2022-01-17 13:02:51,273:INFO:Importing untrained model
- 2022-01-17 13:02:51,278:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 13:02:51,288:INFO:Starting cross validation
- 2022-01-17 13:02:51,289:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:56,873:INFO:Calculating mean and std
- 2022-01-17 13:02:56,874:INFO:Creating metrics dataframe
- 2022-01-17 13:02:56,876:INFO:Uploading results into container
- 2022-01-17 13:02:56,877:INFO:Uploading model into container now
- 2022-01-17 13:02:56,877:INFO:create_model_container: 7
- 2022-01-17 13:02:56,877:INFO:master_model_container: 7
- 2022-01-17 13:02:56,877:INFO:display_container: 2
- 2022-01-17 13:02:56,877:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:02:56,878:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:56,950:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:56,950:INFO:Creating metrics dataframe
- 2022-01-17 13:02:56,962:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 13:02:56,962:INFO:Total runtime is 0.37721813917160035 minutes
- 2022-01-17 13:02:56,967:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:56,967:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:56,968:INFO:Checking exceptions
- 2022-01-17 13:02:56,968:INFO:Importing libraries
- 2022-01-17 13:02:56,968:INFO:Copying training dataset
- 2022-01-17 13:02:56,969:INFO:Defining folds
- 2022-01-17 13:02:56,969:INFO:Declaring metric variables
- 2022-01-17 13:02:56,974:INFO:Importing untrained model
- 2022-01-17 13:02:56,979:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 13:02:56,988:INFO:Starting cross validation
- 2022-01-17 13:02:56,989:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:57,284:INFO:Calculating mean and std
- 2022-01-17 13:02:57,289:INFO:Creating metrics dataframe
- 2022-01-17 13:02:57,294:INFO:Uploading results into container
- 2022-01-17 13:02:57,294:INFO:Uploading model into container now
- 2022-01-17 13:02:57,294:INFO:create_model_container: 8
- 2022-01-17 13:02:57,294:INFO:master_model_container: 8
- 2022-01-17 13:02:57,294:INFO:display_container: 2
- 2022-01-17 13:02:57,295:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 13:02:57,295:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:57,384:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:57,384:INFO:Creating metrics dataframe
- 2022-01-17 13:02:57,397:INFO:Initializing Ada Boost Classifier
- 2022-01-17 13:02:57,397:INFO:Total runtime is 0.3844650745391846 minutes
- 2022-01-17 13:02:57,402:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:57,402:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:57,403:INFO:Checking exceptions
- 2022-01-17 13:02:57,403:INFO:Importing libraries
- 2022-01-17 13:02:57,403:INFO:Copying training dataset
- 2022-01-17 13:02:57,404:INFO:Defining folds
- 2022-01-17 13:02:57,405:INFO:Declaring metric variables
- 2022-01-17 13:02:57,410:INFO:Importing untrained model
- 2022-01-17 13:02:57,414:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 13:02:57,425:INFO:Starting cross validation
- 2022-01-17 13:02:57,426:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:02:59,675:INFO:Calculating mean and std
- 2022-01-17 13:02:59,676:INFO:Creating metrics dataframe
- 2022-01-17 13:02:59,679:INFO:Uploading results into container
- 2022-01-17 13:02:59,679:INFO:Uploading model into container now
- 2022-01-17 13:02:59,679:INFO:create_model_container: 9
- 2022-01-17 13:02:59,679:INFO:master_model_container: 9
- 2022-01-17 13:02:59,679:INFO:display_container: 2
- 2022-01-17 13:02:59,679:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=2921)
- 2022-01-17 13:02:59,680:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:02:59,745:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:02:59,745:INFO:Creating metrics dataframe
- 2022-01-17 13:02:59,758:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 13:02:59,758:INFO:Total runtime is 0.4238206505775452 minutes
- 2022-01-17 13:02:59,763:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:02:59,764:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:02:59,764:INFO:Checking exceptions
- 2022-01-17 13:02:59,764:INFO:Importing libraries
- 2022-01-17 13:02:59,764:INFO:Copying training dataset
- 2022-01-17 13:02:59,765:INFO:Defining folds
- 2022-01-17 13:02:59,765:INFO:Declaring metric variables
- 2022-01-17 13:02:59,770:INFO:Importing untrained model
- 2022-01-17 13:02:59,776:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 13:02:59,786:INFO:Starting cross validation
- 2022-01-17 13:02:59,787:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:05,995:INFO:Calculating mean and std
- 2022-01-17 13:03:05,996:INFO:Creating metrics dataframe
- 2022-01-17 13:03:05,999:INFO:Uploading results into container
- 2022-01-17 13:03:05,999:INFO:Uploading model into container now
- 2022-01-17 13:03:05,999:INFO:create_model_container: 10
- 2022-01-17 13:03:05,999:INFO:master_model_container: 10
- 2022-01-17 13:03:05,999:INFO:display_container: 2
- 2022-01-17 13:03:06,000:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=2921, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 13:03:06,000:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:06,068:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:06,069:INFO:Creating metrics dataframe
- 2022-01-17 13:03:06,081:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 13:03:06,081:INFO:Total runtime is 0.5292097528775533 minutes
- 2022-01-17 13:03:06,086:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:03:06,087:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:03:06,087:INFO:Checking exceptions
- 2022-01-17 13:03:06,087:INFO:Importing libraries
- 2022-01-17 13:03:06,088:INFO:Copying training dataset
- 2022-01-17 13:03:06,088:INFO:Defining folds
- 2022-01-17 13:03:06,089:INFO:Declaring metric variables
- 2022-01-17 13:03:06,093:INFO:Importing untrained model
- 2022-01-17 13:03:06,098:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 13:03:06,108:INFO:Starting cross validation
- 2022-01-17 13:03:06,108:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:07,147:INFO:Calculating mean and std
- 2022-01-17 13:03:07,155:INFO:Creating metrics dataframe
- 2022-01-17 13:03:07,159:INFO:Uploading results into container
- 2022-01-17 13:03:07,164:INFO:Uploading model into container now
- 2022-01-17 13:03:07,164:INFO:create_model_container: 11
- 2022-01-17 13:03:07,164:INFO:master_model_container: 11
- 2022-01-17 13:03:07,164:INFO:display_container: 2
- 2022-01-17 13:03:07,164:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 13:03:07,165:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:07,259:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:07,259:INFO:Creating metrics dataframe
- 2022-01-17 13:03:07,271:INFO:Initializing Extra Trees Classifier
- 2022-01-17 13:03:07,272:INFO:Total runtime is 0.5490442395210267 minutes
- 2022-01-17 13:03:07,277:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:03:07,277:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:03:07,277:INFO:Checking exceptions
- 2022-01-17 13:03:07,278:INFO:Importing libraries
- 2022-01-17 13:03:07,278:INFO:Copying training dataset
- 2022-01-17 13:03:07,278:INFO:Defining folds
- 2022-01-17 13:03:07,279:INFO:Declaring metric variables
- 2022-01-17 13:03:07,283:INFO:Importing untrained model
- 2022-01-17 13:03:07,288:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:03:07,299:INFO:Starting cross validation
- 2022-01-17 13:03:07,300:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:12,992:INFO:Calculating mean and std
- 2022-01-17 13:03:12,993:INFO:Creating metrics dataframe
- 2022-01-17 13:03:12,995:INFO:Uploading results into container
- 2022-01-17 13:03:12,996:INFO:Uploading model into container now
- 2022-01-17 13:03:12,996:INFO:create_model_container: 12
- 2022-01-17 13:03:12,996:INFO:master_model_container: 12
- 2022-01-17 13:03:12,996:INFO:display_container: 2
- 2022-01-17 13:03:12,997:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:03:12,997:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:13,068:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:13,068:INFO:Creating metrics dataframe
- 2022-01-17 13:03:13,081:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 13:03:13,081:INFO:Total runtime is 0.6458649357159933 minutes
- 2022-01-17 13:03:13,086:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:03:13,086:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:03:13,087:INFO:Checking exceptions
- 2022-01-17 13:03:13,087:INFO:Importing libraries
- 2022-01-17 13:03:13,087:INFO:Copying training dataset
- 2022-01-17 13:03:13,088:INFO:Defining folds
- 2022-01-17 13:03:13,088:INFO:Declaring metric variables
- 2022-01-17 13:03:13,093:INFO:Importing untrained model
- 2022-01-17 13:03:13,098:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 13:03:13,108:INFO:Starting cross validation
- 2022-01-17 13:03:13,109:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:14,740:INFO:Calculating mean and std
- 2022-01-17 13:03:14,741:INFO:Creating metrics dataframe
- 2022-01-17 13:03:14,744:INFO:Uploading results into container
- 2022-01-17 13:03:14,744:INFO:Uploading model into container now
- 2022-01-17 13:03:14,744:INFO:create_model_container: 13
- 2022-01-17 13:03:14,744:INFO:master_model_container: 13
- 2022-01-17 13:03:14,744:INFO:display_container: 2
- 2022-01-17 13:03:14,745:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=2921, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 13:03:14,745:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:14,810:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:14,810:INFO:Creating metrics dataframe
- 2022-01-17 13:03:14,823:INFO:Initializing Dummy Classifier
- 2022-01-17 13:03:14,823:INFO:Total runtime is 0.6749085227648418 minutes
- 2022-01-17 13:03:14,829:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:03:14,829:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:03:14,829:INFO:Checking exceptions
- 2022-01-17 13:03:14,829:INFO:Importing libraries
- 2022-01-17 13:03:14,830:INFO:Copying training dataset
- 2022-01-17 13:03:14,830:INFO:Defining folds
- 2022-01-17 13:03:14,830:INFO:Declaring metric variables
- 2022-01-17 13:03:14,835:INFO:Importing untrained model
- 2022-01-17 13:03:14,840:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 13:03:14,852:INFO:Starting cross validation
- 2022-01-17 13:03:14,853:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:03:14,918:INFO:Calculating mean and std
- 2022-01-17 13:03:14,919:INFO:Creating metrics dataframe
- 2022-01-17 13:03:14,922:INFO:Uploading results into container
- 2022-01-17 13:03:14,923:INFO:Uploading model into container now
- 2022-01-17 13:03:14,923:INFO:create_model_container: 14
- 2022-01-17 13:03:14,923:INFO:master_model_container: 14
- 2022-01-17 13:03:14,923:INFO:display_container: 2
- 2022-01-17 13:03:14,924:INFO:DummyClassifier(constant=None, random_state=2921, strategy='prior')
- 2022-01-17 13:03:14,924:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:03:14,991:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:03:14,991:INFO:Creating metrics dataframe
- 2022-01-17 13:03:15,016:INFO:Initializing create_model()
- 2022-01-17 13:03:15,016:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-17 13:03:15,016:INFO:Checking exceptions
- 2022-01-17 13:03:15,016:INFO:Importing libraries
- 2022-01-17 13:03:15,017:INFO:Copying training dataset
- 2022-01-17 13:03:15,017:INFO:Defining folds
- 2022-01-17 13:03:15,017:INFO:Declaring metric variables
- 2022-01-17 13:03:15,017:INFO:Importing untrained model
- 2022-01-17 13:03:15,017:INFO:Declaring custom model
- 2022-01-17 13:03:15,018:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 13:03:15,018:INFO:Cross validation set to False
- 2022-01-17 13:03:15,018:INFO:Fitting Model
- 2022-01-17 13:03:15,040:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:03:15,040:INFO:create_models() succesfully completed......................................
- 2022-01-17 13:03:15,134:INFO:create_model_container: 14
- 2022-01-17 13:03:15,134:INFO:master_model_container: 14
- 2022-01-17 13:03:15,134:INFO:display_container: 2
- 2022-01-17 13:03:15,135:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:03:15,135:INFO:compare_models() succesfully completed......................................
- 2022-01-17 13:05:10,965:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:05:10,966:INFO:Checking exceptions
- 2022-01-17 13:05:10,966:INFO:Preparing display monitor
- 2022-01-17 13:05:10,978:INFO:Importing libraries
- 2022-01-17 13:05:10,978:INFO:Copying training dataset
- 2022-01-17 13:05:10,979:INFO:Defining folds
- 2022-01-17 13:05:10,979:INFO:Declaring metric variables
- 2022-01-17 13:05:10,984:INFO:Importing untrained model
- 2022-01-17 13:05:10,988:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 13:05:11,000:INFO:Starting cross validation
- 2022-01-17 13:05:11,001:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:05:11,257:INFO:Calculating mean and std
- 2022-01-17 13:05:11,258:INFO:Creating metrics dataframe
- 2022-01-17 13:05:11,265:INFO:Finalizing model
- 2022-01-17 13:05:11,287:INFO:Uploading results into container
- 2022-01-17 13:05:11,287:INFO:Uploading model into container now
- 2022-01-17 13:05:11,297:INFO:create_model_container: 15
- 2022-01-17 13:05:11,297:INFO:master_model_container: 15
- 2022-01-17 13:05:11,298:INFO:display_container: 3
- 2022-01-17 13:05:11,298:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:05:11,298:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:05:36,291:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:05:36,292:INFO:Checking exceptions
- 2022-01-17 13:05:36,292:INFO:Preparing display monitor
- 2022-01-17 13:05:36,303:INFO:Importing libraries
- 2022-01-17 13:05:36,303:INFO:Copying training dataset
- 2022-01-17 13:05:36,304:INFO:Defining folds
- 2022-01-17 13:05:36,304:INFO:Declaring metric variables
- 2022-01-17 13:05:36,308:INFO:Importing untrained model
- 2022-01-17 13:05:36,314:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:05:36,324:INFO:Starting cross validation
- 2022-01-17 13:05:36,324:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:05:42,037:INFO:Calculating mean and std
- 2022-01-17 13:05:42,038:INFO:Creating metrics dataframe
- 2022-01-17 13:05:42,045:INFO:Finalizing model
- 2022-01-17 13:05:42,284:INFO:Uploading results into container
- 2022-01-17 13:05:42,284:INFO:Uploading model into container now
- 2022-01-17 13:05:42,295:INFO:create_model_container: 16
- 2022-01-17 13:05:42,295:INFO:master_model_container: 16
- 2022-01-17 13:05:42,295:INFO:display_container: 4
- 2022-01-17 13:05:42,296:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:05:42,296:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:06:11,498:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:06:11,499:INFO:Checking exceptions
- 2022-01-17 13:06:56,085:INFO:Initializing tune_model()
- 2022-01-17 13:06:56,085:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-17 13:06:56,085:INFO:Checking exceptions
- 2022-01-17 13:06:56,086:INFO:Preparing display monitor
- 2022-01-17 13:06:56,097:INFO:Copying training dataset
- 2022-01-17 13:06:56,098:INFO:Checking base model
- 2022-01-17 13:06:56,098:INFO:Base model : Decision Tree Classifier
- 2022-01-17 13:06:56,103:INFO:Declaring metric variables
- 2022-01-17 13:06:56,108:INFO:Defining Hyperparameters
- 2022-01-17 13:06:56,183:INFO:Tuning with n_jobs=-1
- 2022-01-17 13:06:56,183:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-17 13:06:57,390:INFO:Hyperparameter search completed
- 2022-01-17 13:06:57,390:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:06:57,391:INFO:Initializing create_model()
- 2022-01-17 13:06:57,391:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-17 13:06:57,391:INFO:Checking exceptions
- 2022-01-17 13:06:57,391:INFO:Importing libraries
- 2022-01-17 13:06:57,391:INFO:Copying training dataset
- 2022-01-17 13:06:57,392:INFO:Defining folds
- 2022-01-17 13:06:57,392:INFO:Declaring metric variables
- 2022-01-17 13:06:57,398:INFO:Importing untrained model
- 2022-01-17 13:06:57,398:INFO:Declaring custom model
- 2022-01-17 13:06:57,403:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 13:06:57,414:INFO:Starting cross validation
- 2022-01-17 13:06:57,415:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:06:57,648:INFO:Calculating mean and std
- 2022-01-17 13:06:57,649:INFO:Creating metrics dataframe
- 2022-01-17 13:06:57,656:INFO:Finalizing model
- 2022-01-17 13:06:57,674:INFO:Uploading results into container
- 2022-01-17 13:06:57,674:INFO:Uploading model into container now
- 2022-01-17 13:06:57,674:INFO:create_model_container: 17
- 2022-01-17 13:06:57,674:INFO:master_model_container: 17
- 2022-01-17 13:06:57,674:INFO:display_container: 5
- 2022-01-17 13:06:57,675:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:06:57,675:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:06:57,746:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:06:57,756:INFO:create_model_container: 17
- 2022-01-17 13:06:57,756:INFO:master_model_container: 17
- 2022-01-17 13:06:57,756:INFO:display_container: 5
- 2022-01-17 13:06:57,757:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2921, splitter='best')
- 2022-01-17 13:06:57,757:INFO:tune_model() succesfully completed......................................
- 2022-01-17 13:07:50,221:INFO:Initializing plot_model()
- 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',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 13:07:50,222:INFO:Checking exceptions
- 2022-01-17 13:07:50,222:INFO:Preparing display monitor
- 2022-01-17 13:07:50,226:INFO:Preloading libraries
- 2022-01-17 13:07:50,227:INFO:Copying training dataset
- 2022-01-17 13:07:50,228:INFO:Copying test dataset
- 2022-01-17 13:07:50,228:INFO:Plot type: auc
- 2022-01-17 13:07:50,229:INFO:Initializing get_config()
- 2022-01-17 13:07:50,229:INFO:get_config(variable=prep_pipe)
- 2022-01-17 13:07:50,232:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:07:50,232:INFO:get_config() succesfully completed......................................
- 2022-01-17 13:07:50,233:INFO:Fitting Model
- 2022-01-17 13:07:50,234:INFO:Scoring test/hold-out set
- 2022-01-17 13:07:50,365:INFO:Visual Rendered Successfully
- 2022-01-17 13:07:50,439:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:08:07,287:INFO:Initializing plot_model()
- 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',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 13:08:07,288:INFO:Checking exceptions
- 2022-01-17 13:08:14,531:INFO:Initializing plot_model()
- 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',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 13:08:14,532:INFO:Checking exceptions
- 2022-01-17 13:08:14,533:INFO:Preparing display monitor
- 2022-01-17 13:08:14,537:INFO:Preloading libraries
- 2022-01-17 13:08:14,538:INFO:Copying training dataset
- 2022-01-17 13:08:14,538:INFO:Copying test dataset
- 2022-01-17 13:08:14,539:INFO:Plot type: pr
- 2022-01-17 13:08:14,540:INFO:Fitting Model
- 2022-01-17 13:08:14,541:INFO:Scoring test/hold-out set
- 2022-01-17 13:08:14,627:INFO:Visual Rendered Successfully
- 2022-01-17 13:08:14,702:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:08:40,735:INFO:Initializing plot_model()
- 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',
- max_depth=13, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 13:08:40,736:INFO:Checking exceptions
- 2022-01-17 13:08:40,737:INFO:Preparing display monitor
- 2022-01-17 13:08:40,741:INFO:Preloading libraries
- 2022-01-17 13:08:40,742:INFO:Copying training dataset
- 2022-01-17 13:08:40,742:INFO:Copying test dataset
- 2022-01-17 13:08:40,743:INFO:Plot type: feature
- 2022-01-17 13:08:40,744:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 13:08:40,820:INFO:Visual Rendered Successfully
- 2022-01-17 13:08:40,899:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:23:17,701:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:23:17,701:INFO:Checking exceptions
- 2022-01-17 13:23:17,702:INFO:Preparing display monitor
- 2022-01-17 13:23:17,712:INFO:Importing libraries
- 2022-01-17 13:23:17,712:INFO:Copying training dataset
- 2022-01-17 13:23:17,713:INFO:Defining folds
- 2022-01-17 13:23:17,713:INFO:Declaring metric variables
- 2022-01-17 13:23:17,717:INFO:Importing untrained model
- 2022-01-17 13:23:17,722:INFO:Naive Bayes Imported succesfully
- 2022-01-17 13:23:17,731:INFO:Starting cross validation
- 2022-01-17 13:23:17,731:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:23:17,844:INFO:Calculating mean and std
- 2022-01-17 13:23:17,845:INFO:Creating metrics dataframe
- 2022-01-17 13:23:17,851:INFO:Finalizing model
- 2022-01-17 13:23:17,855:INFO:Uploading results into container
- 2022-01-17 13:23:17,855:INFO:Uploading model into container now
- 2022-01-17 13:23:17,864:INFO:create_model_container: 18
- 2022-01-17 13:23:17,865:INFO:master_model_container: 18
- 2022-01-17 13:23:17,865:INFO:display_container: 6
- 2022-01-17 13:23:17,865:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 13:23:17,865:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:23:31,722:INFO:Initializing tune_model()
- 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={})
- 2022-01-17 13:23:31,723:INFO:Checking exceptions
- 2022-01-17 13:23:31,724:INFO:Preparing display monitor
- 2022-01-17 13:23:31,735:INFO:Copying training dataset
- 2022-01-17 13:23:31,736:INFO:Checking base model
- 2022-01-17 13:23:31,736:INFO:Base model : Naive Bayes
- 2022-01-17 13:23:31,741:INFO:Declaring metric variables
- 2022-01-17 13:23:31,745:INFO:Defining Hyperparameters
- 2022-01-17 13:23:31,820:INFO:Tuning with n_jobs=-1
- 2022-01-17 13:23:31,820:INFO:Initializing RandomizedSearchCV
- 2022-01-17 13:23:34,136:INFO:best_params: {'actual_estimator__var_smoothing': 0.01}
- 2022-01-17 13:23:34,137:INFO:Hyperparameter search completed
- 2022-01-17 13:23:34,137:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:23:34,138:INFO:Initializing create_model()
- 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})
- 2022-01-17 13:23:34,138:INFO:Checking exceptions
- 2022-01-17 13:23:34,139:INFO:Importing libraries
- 2022-01-17 13:23:34,139:INFO:Copying training dataset
- 2022-01-17 13:23:34,140:INFO:Defining folds
- 2022-01-17 13:23:34,140:INFO:Declaring metric variables
- 2022-01-17 13:23:34,145:INFO:Importing untrained model
- 2022-01-17 13:23:34,146:INFO:Declaring custom model
- 2022-01-17 13:23:34,150:INFO:Naive Bayes Imported succesfully
- 2022-01-17 13:23:34,160:INFO:Starting cross validation
- 2022-01-17 13:23:34,160:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:23:34,272:INFO:Calculating mean and std
- 2022-01-17 13:23:34,273:INFO:Creating metrics dataframe
- 2022-01-17 13:23:34,280:INFO:Finalizing model
- 2022-01-17 13:23:34,284:INFO:Uploading results into container
- 2022-01-17 13:23:34,285:INFO:Uploading model into container now
- 2022-01-17 13:23:34,285:INFO:create_model_container: 19
- 2022-01-17 13:23:34,285:INFO:master_model_container: 19
- 2022-01-17 13:23:34,285:INFO:display_container: 7
- 2022-01-17 13:23:34,285:INFO:GaussianNB(priors=None, var_smoothing=0.01)
- 2022-01-17 13:23:34,286:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:23:34,364:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:23:34,373:INFO:create_model_container: 19
- 2022-01-17 13:23:34,374:INFO:master_model_container: 19
- 2022-01-17 13:23:34,374:INFO:display_container: 7
- 2022-01-17 13:23:34,374:INFO:GaussianNB(priors=None, var_smoothing=0.01)
- 2022-01-17 13:23:34,374:INFO:tune_model() succesfully completed......................................
- 2022-01-17 13:23:47,434:INFO:Initializing plot_model()
- 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)
- 2022-01-17 13:23:47,435:INFO:Checking exceptions
- 2022-01-17 13:23:47,436:INFO:Preparing display monitor
- 2022-01-17 13:23:47,440:INFO:Preloading libraries
- 2022-01-17 13:23:47,441:INFO:Copying training dataset
- 2022-01-17 13:23:47,443:INFO:Copying test dataset
- 2022-01-17 13:23:47,444:INFO:Plot type: pr
- 2022-01-17 13:23:47,445:INFO:Fitting Model
- 2022-01-17 13:23:47,446:INFO:Scoring test/hold-out set
- 2022-01-17 13:23:47,568:INFO:Visual Rendered Successfully
- 2022-01-17 13:23:47,644:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:23:51,601:INFO:Initializing plot_model()
- 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)
- 2022-01-17 13:23:51,601:INFO:Checking exceptions
- 2022-01-17 13:23:56,530:INFO:Initializing plot_model()
- 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)
- 2022-01-17 13:23:56,531:INFO:Checking exceptions
- 2022-01-17 13:24:20,450:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:24:20,451:INFO:Checking exceptions
- 2022-01-17 13:24:20,451:INFO:Preparing display monitor
- 2022-01-17 13:24:20,462:INFO:Importing libraries
- 2022-01-17 13:24:20,462:INFO:Copying training dataset
- 2022-01-17 13:24:20,463:INFO:Defining folds
- 2022-01-17 13:24:20,463:INFO:Declaring metric variables
- 2022-01-17 13:24:20,468:INFO:Importing untrained model
- 2022-01-17 13:24:20,473:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:24:20,483:INFO:Starting cross validation
- 2022-01-17 13:24:20,484:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:24:26,180:INFO:Calculating mean and std
- 2022-01-17 13:24:26,181:INFO:Creating metrics dataframe
- 2022-01-17 13:24:26,188:INFO:Finalizing model
- 2022-01-17 13:24:26,427:INFO:Uploading results into container
- 2022-01-17 13:24:26,428:INFO:Uploading model into container now
- 2022-01-17 13:24:26,438:INFO:create_model_container: 20
- 2022-01-17 13:24:26,438:INFO:master_model_container: 20
- 2022-01-17 13:24:26,439:INFO:display_container: 8
- 2022-01-17 13:24:26,439:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:24:26,439:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:24:29,968:INFO:Initializing tune_model()
- 2022-01-17 13:24:29,968:INFO:tune_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- 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={})
- 2022-01-17 13:24:29,969:INFO:Checking exceptions
- 2022-01-17 13:24:29,970:INFO:Preparing display monitor
- 2022-01-17 13:24:29,980:INFO:Copying training dataset
- 2022-01-17 13:24:29,981:INFO:Checking base model
- 2022-01-17 13:24:29,981:INFO:Base model : Extra Trees Classifier
- 2022-01-17 13:24:29,987:INFO:Declaring metric variables
- 2022-01-17 13:24:29,991:INFO:Defining Hyperparameters
- 2022-01-17 13:24:30,077:INFO:Tuning with n_jobs=-1
- 2022-01-17 13:24:30,077:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-17 13:24:34,731:INFO:Hyperparameter search completed
- 2022-01-17 13:24:34,731:INFO:SubProcess create_model() called ==================================
- 2022-01-17 13:24:34,731:INFO:Initializing create_model()
- 2022-01-17 13:24:34,732:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, 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 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})
- 2022-01-17 13:24:34,732:INFO:Checking exceptions
- 2022-01-17 13:24:34,732:INFO:Importing libraries
- 2022-01-17 13:24:34,732:INFO:Copying training dataset
- 2022-01-17 13:24:34,733:INFO:Defining folds
- 2022-01-17 13:24:34,733:INFO:Declaring metric variables
- 2022-01-17 13:24:34,738:INFO:Importing untrained model
- 2022-01-17 13:24:34,738:INFO:Declaring custom model
- 2022-01-17 13:24:34,743:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:24:34,753:INFO:Starting cross validation
- 2022-01-17 13:24:34,753:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:24:37,798:INFO:Calculating mean and std
- 2022-01-17 13:24:37,798:INFO:Creating metrics dataframe
- 2022-01-17 13:24:37,805:INFO:Finalizing model
- 2022-01-17 13:24:37,916:INFO:Uploading results into container
- 2022-01-17 13:24:37,917:INFO:Uploading model into container now
- 2022-01-17 13:24:37,917:INFO:create_model_container: 21
- 2022-01-17 13:24:37,917:INFO:master_model_container: 21
- 2022-01-17 13:24:37,917:INFO:display_container: 9
- 2022-01-17 13:24:37,918:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:24:37,918:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:24:37,986:INFO:SubProcess create_model() end ==================================
- 2022-01-17 13:24:37,996:INFO:create_model_container: 21
- 2022-01-17 13:24:37,997:INFO:master_model_container: 21
- 2022-01-17 13:24:37,997:INFO:display_container: 9
- 2022-01-17 13:24:37,997:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:24:37,997:INFO:tune_model() succesfully completed......................................
- 2022-01-17 13:24:40,770:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=pr, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:24:40,771:INFO:Checking exceptions
- 2022-01-17 13:24:40,779:INFO:Preparing display monitor
- 2022-01-17 13:24:40,784:INFO:Preloading libraries
- 2022-01-17 13:24:40,790:INFO:Copying training dataset
- 2022-01-17 13:24:40,791:INFO:Copying test dataset
- 2022-01-17 13:24:40,792:INFO:Plot type: pr
- 2022-01-17 13:24:40,806:INFO:Fitting Model
- 2022-01-17 13:24:40,808:INFO:Scoring test/hold-out set
- 2022-01-17 13:24:40,927:INFO:Visual Rendered Successfully
- 2022-01-17 13:24:41,004:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:24:44,796:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:24:44,796:INFO:Checking exceptions
- 2022-01-17 13:24:44,804:INFO:Preparing display monitor
- 2022-01-17 13:24:44,808:INFO:Preloading libraries
- 2022-01-17 13:24:44,815:INFO:Copying training dataset
- 2022-01-17 13:24:44,815:INFO:Copying test dataset
- 2022-01-17 13:24:44,816:INFO:Plot type: feature
- 2022-01-17 13:24:44,830:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 13:24:44,919:INFO:Visual Rendered Successfully
- 2022-01-17 13:24:44,994:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:46:48,121:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:46:48,122:INFO:Checking exceptions
- 2022-01-17 13:46:48,122:INFO:Preparing display monitor
- 2022-01-17 13:46:48,133:INFO:Importing libraries
- 2022-01-17 13:46:48,134:INFO:Copying training dataset
- 2022-01-17 13:46:48,134:INFO:Defining folds
- 2022-01-17 13:46:48,135:INFO:Declaring metric variables
- 2022-01-17 13:46:48,139:INFO:Importing untrained model
- 2022-01-17 13:46:48,144:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:46:48,154:INFO:Starting cross validation
- 2022-01-17 13:46:48,154:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:46:54,751:INFO:Calculating mean and std
- 2022-01-17 13:46:54,752:INFO:Creating metrics dataframe
- 2022-01-17 13:46:54,760:INFO:Finalizing model
- 2022-01-17 13:46:55,004:INFO:Uploading results into container
- 2022-01-17 13:46:55,005:INFO:Uploading model into container now
- 2022-01-17 13:46:55,016:INFO:create_model_container: 22
- 2022-01-17 13:46:55,016:INFO:master_model_container: 22
- 2022-01-17 13:46:55,016:INFO:display_container: 10
- 2022-01-17 13:46:55,017:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:46:55,017:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:47:12,691:INFO:Initializing create_model()
- 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={})
- 2022-01-17 13:47:12,691:INFO:Checking exceptions
- 2022-01-17 13:47:12,692:INFO:Preparing display monitor
- 2022-01-17 13:47:12,702:INFO:Importing libraries
- 2022-01-17 13:47:12,702:INFO:Copying training dataset
- 2022-01-17 13:47:12,703:INFO:Defining folds
- 2022-01-17 13:47:12,704:INFO:Declaring metric variables
- 2022-01-17 13:47:12,708:INFO:Importing untrained model
- 2022-01-17 13:47:12,713:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 13:47:12,723:INFO:Starting cross validation
- 2022-01-17 13:47:12,723:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 13:47:18,421:INFO:Calculating mean and std
- 2022-01-17 13:47:18,422:INFO:Creating metrics dataframe
- 2022-01-17 13:47:18,430:INFO:Finalizing model
- 2022-01-17 13:47:18,672:INFO:Uploading results into container
- 2022-01-17 13:47:18,673:INFO:Uploading model into container now
- 2022-01-17 13:47:18,683:INFO:create_model_container: 23
- 2022-01-17 13:47:18,684:INFO:master_model_container: 23
- 2022-01-17 13:47:18,684:INFO:display_container: 11
- 2022-01-17 13:47:18,684:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False)
- 2022-01-17 13:47:18,684:INFO:create_model() succesfully completed......................................
- 2022-01-17 13:48:54,838:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:48:54,838:INFO:Checking exceptions
- 2022-01-17 13:48:54,845:INFO:Preparing display monitor
- 2022-01-17 13:48:54,850:INFO:Preloading libraries
- 2022-01-17 13:48:54,856:INFO:Copying training dataset
- 2022-01-17 13:48:54,857:INFO:Copying test dataset
- 2022-01-17 13:48:54,858:INFO:Plot type: auc
- 2022-01-17 13:48:54,874:INFO:Initializing get_config()
- 2022-01-17 13:48:54,874:INFO:get_config(variable=prep_pipe)
- 2022-01-17 13:48:54,877:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:48:54,877:INFO:get_config() succesfully completed......................................
- 2022-01-17 13:48:54,878:INFO:Fitting Model
- 2022-01-17 13:48:54,879:INFO:Scoring test/hold-out set
- 2022-01-17 13:48:55,012:INFO:Visual Rendered Successfully
- 2022-01-17 13:48:55,087:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:59:28,170:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:59:28,171:INFO:Checking exceptions
- 2022-01-17 13:59:28,178:INFO:Preparing display monitor
- 2022-01-17 13:59:28,184:INFO:Preloading libraries
- 2022-01-17 13:59:28,188:INFO:Copying training dataset
- 2022-01-17 13:59:28,189:INFO:Copying test dataset
- 2022-01-17 13:59:28,189:INFO:Plot type: auc
- 2022-01-17 13:59:28,204:INFO:Initializing get_config()
- 2022-01-17 13:59:28,204:INFO:get_config(variable=prep_pipe)
- 2022-01-17 13:59:28,207:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:59:28,207:INFO:get_config() succesfully completed......................................
- 2022-01-17 13:59:28,207:INFO:Fitting Model
- 2022-01-17 13:59:28,209:INFO:Scoring test/hold-out set
- 2022-01-17 13:59:28,339:INFO:Visual Rendered Successfully
- 2022-01-17 13:59:28,412:INFO:plot_model() succesfully completed......................................
- 2022-01-17 13:59:32,803:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 13:59:32,804:INFO:Checking exceptions
- 2022-01-17 13:59:32,812:INFO:Preparing display monitor
- 2022-01-17 13:59:32,816:INFO:Preloading libraries
- 2022-01-17 13:59:32,822:INFO:Copying training dataset
- 2022-01-17 13:59:32,823:INFO:Copying test dataset
- 2022-01-17 13:59:32,823:INFO:Plot type: auc
- 2022-01-17 13:59:32,838:INFO:Initializing get_config()
- 2022-01-17 13:59:32,838:INFO:get_config(variable=prep_pipe)
- 2022-01-17 13:59:32,840:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 13:59:32,841:INFO:get_config() succesfully completed......................................
- 2022-01-17 13:59:32,841:INFO:Fitting Model
- 2022-01-17 13:59:32,843:INFO:Scoring test/hold-out set
- 2022-01-17 13:59:32,974:INFO:Visual Rendered Successfully
- 2022-01-17 13:59:33,048:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:00:28,156:INFO:Initializing evaluate_model()
- 2022-01-17 14:00:28,156:INFO:evaluate_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 14:00:28,175:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:00:28,176:INFO:Checking exceptions
- 2022-01-17 14:00:28,183:INFO:Preparing display monitor
- 2022-01-17 14:00:28,188:INFO:Preloading libraries
- 2022-01-17 14:00:28,194:INFO:Copying training dataset
- 2022-01-17 14:00:28,194:INFO:Copying test dataset
- 2022-01-17 14:00:28,195:INFO:Plot type: parameter
- 2022-01-17 14:00:28,212:INFO:Visual Rendered Successfully
- 2022-01-17 14:00:28,289:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:00:36,182:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:00:36,183:INFO:Checking exceptions
- 2022-01-17 14:00:36,190:INFO:Preparing display monitor
- 2022-01-17 14:00:36,195:INFO:Preloading libraries
- 2022-01-17 14:00:36,199:INFO:Copying training dataset
- 2022-01-17 14:00:36,200:INFO:Copying test dataset
- 2022-01-17 14:00:36,200:INFO:Plot type: auc
- 2022-01-17 14:00:36,215:INFO:Initializing get_config()
- 2022-01-17 14:00:36,215:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:00:36,218:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:00:36,218:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:00:36,219:INFO:Fitting Model
- 2022-01-17 14:00:36,220:INFO:Scoring test/hold-out set
- 2022-01-17 14:00:36,351:INFO:Visual Rendered Successfully
- 2022-01-17 14:00:36,423:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:00:38,272:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:00:38,273:INFO:Checking exceptions
- 2022-01-17 14:00:38,281:INFO:Preparing display monitor
- 2022-01-17 14:00:38,286:INFO:Preloading libraries
- 2022-01-17 14:00:38,289:INFO:Copying training dataset
- 2022-01-17 14:00:38,290:INFO:Copying test dataset
- 2022-01-17 14:00:38,290:INFO:Plot type: confusion_matrix
- 2022-01-17 14:00:38,305:INFO:Initializing get_config()
- 2022-01-17 14:00:38,305:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:00:38,308:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:00:38,308:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:00:38,309:INFO:Fitting Model
- 2022-01-17 14:00:38,310:INFO:Scoring test/hold-out set
- 2022-01-17 14:00:38,440:INFO:Visual Rendered Successfully
- 2022-01-17 14:00:38,514:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:00:43,883:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:00:43,884:INFO:Checking exceptions
- 2022-01-17 14:00:43,892:INFO:Preparing display monitor
- 2022-01-17 14:00:43,897:INFO:Preloading libraries
- 2022-01-17 14:00:43,904:INFO:Copying training dataset
- 2022-01-17 14:00:43,904:INFO:Copying test dataset
- 2022-01-17 14:00:43,905:INFO:Plot type: threshold
- 2022-01-17 14:00:43,920:INFO:Fitting Model
- 2022-01-17 14:00:50,535:INFO:Scoring test/hold-out set
- 2022-01-17 14:00:50,795:INFO:Visual Rendered Successfully
- 2022-01-17 14:00:50,867:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:01:11,484:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:01:11,485:INFO:Checking exceptions
- 2022-01-17 14:01:11,493:INFO:Preparing display monitor
- 2022-01-17 14:01:11,498:INFO:Preloading libraries
- 2022-01-17 14:01:11,504:INFO:Copying training dataset
- 2022-01-17 14:01:11,504:INFO:Copying test dataset
- 2022-01-17 14:01:11,505:INFO:Plot type: pr
- 2022-01-17 14:01:11,519:INFO:Fitting Model
- 2022-01-17 14:01:11,521:INFO:Scoring test/hold-out set
- 2022-01-17 14:01:11,634:INFO:Visual Rendered Successfully
- 2022-01-17 14:01:11,707:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:01:16,622:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:01:16,622:INFO:Checking exceptions
- 2022-01-17 14:01:16,630:INFO:Preparing display monitor
- 2022-01-17 14:01:16,635:INFO:Preloading libraries
- 2022-01-17 14:01:16,641:INFO:Copying training dataset
- 2022-01-17 14:01:16,642:INFO:Copying test dataset
- 2022-01-17 14:01:16,642:INFO:Plot type: error
- 2022-01-17 14:01:16,657:INFO:Initializing get_config()
- 2022-01-17 14:01:16,657:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:01:16,661:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:01:16,661:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:01:16,662:INFO:Fitting Model
- 2022-01-17 14:01:16,663:INFO:Scoring test/hold-out set
- 2022-01-17 14:01:16,780:INFO:Visual Rendered Successfully
- 2022-01-17 14:01:16,854:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:01:29,238:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=class_report, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:01:29,239:INFO:Checking exceptions
- 2022-01-17 14:01:29,247:INFO:Preparing display monitor
- 2022-01-17 14:01:29,252:INFO:Preloading libraries
- 2022-01-17 14:01:29,256:INFO:Copying training dataset
- 2022-01-17 14:01:29,257:INFO:Copying test dataset
- 2022-01-17 14:01:29,257:INFO:Plot type: class_report
- 2022-01-17 14:01:29,272:INFO:Initializing get_config()
- 2022-01-17 14:01:29,272:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:01:29,275:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('scaling', 'passthrough'), ('P_transform', 'passthrough'),
- ('binn', 'passthrough'), ('rem_outliers', 'passthrough'),
- ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:01:29,275:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:01:29,276:INFO:Fitting Model
- 2022-01-17 14:01:29,277:INFO:Scoring test/hold-out set
- 2022-01-17 14:01:29,423:INFO:Visual Rendered Successfully
- 2022-01-17 14:01:29,503:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:01:54,753:INFO:Initializing plot_model()
- 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={},
- criterion='entropy', max_depth=8, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=7,
- min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1,
- oob_score=False, random_state=2921, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:01:54,754:INFO:Checking exceptions
- 2022-01-17 14:01:54,761:INFO:Preparing display monitor
- 2022-01-17 14:01:54,766:INFO:Preloading libraries
- 2022-01-17 14:01:54,772:INFO:Copying training dataset
- 2022-01-17 14:01:54,772:INFO:Copying test dataset
- 2022-01-17 14:01:54,773:INFO:Plot type: rfe
- 2022-01-17 14:01:54,791:INFO:Fitting Model
- 2022-01-17 14:04:24,292:INFO:PyCaret Supervised Module
- 2022-01-17 14:04:24,293:INFO:ML Usecase: classification
- 2022-01-17 14:04:24,293:INFO:version 2.3.6
- 2022-01-17 14:04:24,293:INFO:Initializing setup()
- 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)
- 2022-01-17 14:04:24,294:INFO:Checking environment
- 2022-01-17 14:04:24,294:INFO:python_version: 3.8.8
- 2022-01-17 14:04:24,294:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 14:04:24,294:INFO:machine: x86_64
- 2022-01-17 14:04:24,294:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 14:04:24,295:INFO:Physical Core: 16
- 2022-01-17 14:04:24,296:INFO:Logical Core: 32
- 2022-01-17 14:04:24,296:INFO:Checking libraries
- 2022-01-17 14:04:24,296:INFO:pd==1.2.4
- 2022-01-17 14:04:24,296:INFO:numpy==1.19.5
- 2022-01-17 14:04:24,296:INFO:sklearn==0.23.2
- 2022-01-17 14:04:24,296:INFO:lightgbm==3.3.2
- 2022-01-17 14:04:24,297:WARNING:catboost not found
- 2022-01-17 14:04:24,297:WARNING:xgboost not found
- 2022-01-17 14:04:24,422:INFO:mlflow==1.22.0
- 2022-01-17 14:04:24,422:INFO:Checking Exceptions
- 2022-01-17 14:04:24,423:INFO:Declaring global variables
- 2022-01-17 14:04:24,423:INFO:USI: 1037
- 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'}
- 2022-01-17 14:04:24,423:INFO:Preparing display monitor
- 2022-01-17 14:04:24,423:INFO:Preparing display monitor
- 2022-01-17 14:04:24,433:INFO:Importing libraries
- 2022-01-17 14:04:24,433:INFO:Copying data for preprocessing
- 2022-01-17 14:04:24,438:INFO:Declaring preprocessing parameters
- 2022-01-17 14:04:24,439:WARNING:cuML not found
- 2022-01-17 14:04:24,439:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 14:04:24,441:INFO:Creating preprocessing pipeline
- 2022-01-17 14:04:24,457:INFO:Preprocessing pipeline created successfully
- 2022-01-17 14:04:24,457:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 14:04:24,457:INFO:Creating global containers
- 2022-01-17 14:04:24,458:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 14:04:40,146:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 14:04:40,173:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 14:04:40,175:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 14:04:40,176:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 14:04:40,191:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 14:04:40,194:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 14:04:40,197:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 14:04:40,202:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 14:04:40,203:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 14:04:40,233:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 14:04:40,233:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 14:04:40,234:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 14:04:40,249:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 14:04:40,252:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 14:04:40,253:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 14:04:40,258:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 14:04:40,258:INFO:Creating grid variables
- 2022-01-17 14:04:40,269:INFO:create_model_container: 0
- 2022-01-17 14:04:40,269:INFO:master_model_container: 0
- 2022-01-17 14:04:40,270:INFO:display_container: 1
- 2022-01-17 14:04:40,272:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:04:40,273:INFO:setup() succesfully completed......................................
- 2022-01-17 14:04:47,159:INFO:Initializing compare_models()
- 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)
- 2022-01-17 14:04:47,160:INFO:Checking exceptions
- 2022-01-17 14:04:47,161:INFO:Preparing display monitor
- 2022-01-17 14:04:47,161:INFO:Preparing display monitor
- 2022-01-17 14:04:47,177:INFO:Initializing Logistic Regression
- 2022-01-17 14:04:47,177:INFO:Total runtime is 4.955132802327474e-06 minutes
- 2022-01-17 14:04:47,183:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:47,183:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:47,183:INFO:Checking exceptions
- 2022-01-17 14:04:47,183:INFO:Importing libraries
- 2022-01-17 14:04:47,184:INFO:Copying training dataset
- 2022-01-17 14:04:47,184:INFO:Defining folds
- 2022-01-17 14:04:47,185:INFO:Declaring metric variables
- 2022-01-17 14:04:47,190:INFO:Importing untrained model
- 2022-01-17 14:04:47,195:INFO:Logistic Regression Imported succesfully
- 2022-01-17 14:04:47,204:INFO:Starting cross validation
- 2022-01-17 14:04:47,205:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:49,125:INFO:Calculating mean and std
- 2022-01-17 14:04:49,126:INFO:Creating metrics dataframe
- 2022-01-17 14:04:49,132:INFO:Uploading results into container
- 2022-01-17 14:04:49,133:INFO:Uploading model into container now
- 2022-01-17 14:04:49,133:INFO:create_model_container: 1
- 2022-01-17 14:04:49,133:INFO:master_model_container: 1
- 2022-01-17 14:04:49,133:INFO:display_container: 2
- 2022-01-17 14:04:49,134:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=7446, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 14:04:49,134:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:49,224:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:49,224:INFO:Creating metrics dataframe
- 2022-01-17 14:04:49,235:INFO:Initializing K Neighbors Classifier
- 2022-01-17 14:04:49,235:INFO:Total runtime is 0.03429919481277466 minutes
- 2022-01-17 14:04:49,241:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:49,241:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:49,242:INFO:Checking exceptions
- 2022-01-17 14:04:49,242:INFO:Importing libraries
- 2022-01-17 14:04:49,242:INFO:Copying training dataset
- 2022-01-17 14:04:49,243:INFO:Defining folds
- 2022-01-17 14:04:49,243:INFO:Declaring metric variables
- 2022-01-17 14:04:49,249:INFO:Importing untrained model
- 2022-01-17 14:04:49,254:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 14:04:49,266:INFO:Starting cross validation
- 2022-01-17 14:04:49,267:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:54,831:INFO:Calculating mean and std
- 2022-01-17 14:04:54,832:INFO:Creating metrics dataframe
- 2022-01-17 14:04:54,835:INFO:Uploading results into container
- 2022-01-17 14:04:54,835:INFO:Uploading model into container now
- 2022-01-17 14:04:54,836:INFO:create_model_container: 2
- 2022-01-17 14:04:54,836:INFO:master_model_container: 2
- 2022-01-17 14:04:54,836:INFO:display_container: 2
- 2022-01-17 14:04:54,836:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 14:04:54,836:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:54,908:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:54,908:INFO:Creating metrics dataframe
- 2022-01-17 14:04:54,919:INFO:Initializing Naive Bayes
- 2022-01-17 14:04:54,919:INFO:Total runtime is 0.12903836170832317 minutes
- 2022-01-17 14:04:54,925:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:54,925:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:54,925:INFO:Checking exceptions
- 2022-01-17 14:04:54,926:INFO:Importing libraries
- 2022-01-17 14:04:54,926:INFO:Copying training dataset
- 2022-01-17 14:04:54,927:INFO:Defining folds
- 2022-01-17 14:04:54,927:INFO:Declaring metric variables
- 2022-01-17 14:04:54,932:INFO:Importing untrained model
- 2022-01-17 14:04:54,937:INFO:Naive Bayes Imported succesfully
- 2022-01-17 14:04:54,948:INFO:Starting cross validation
- 2022-01-17 14:04:54,949:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:55,055:INFO:Calculating mean and std
- 2022-01-17 14:04:55,056:INFO:Creating metrics dataframe
- 2022-01-17 14:04:55,059:INFO:Uploading results into container
- 2022-01-17 14:04:55,059:INFO:Uploading model into container now
- 2022-01-17 14:04:55,059:INFO:create_model_container: 3
- 2022-01-17 14:04:55,059:INFO:master_model_container: 3
- 2022-01-17 14:04:55,060:INFO:display_container: 2
- 2022-01-17 14:04:55,060:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 14:04:55,060:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:55,126:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:55,126:INFO:Creating metrics dataframe
- 2022-01-17 14:04:55,137:INFO:Initializing Decision Tree Classifier
- 2022-01-17 14:04:55,138:INFO:Total runtime is 0.13267539739608766 minutes
- 2022-01-17 14:04:55,143:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:55,143:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:55,144:INFO:Checking exceptions
- 2022-01-17 14:04:55,144:INFO:Importing libraries
- 2022-01-17 14:04:55,144:INFO:Copying training dataset
- 2022-01-17 14:04:55,145:INFO:Defining folds
- 2022-01-17 14:04:55,145:INFO:Declaring metric variables
- 2022-01-17 14:04:55,150:INFO:Importing untrained model
- 2022-01-17 14:04:55,154:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:04:55,165:INFO:Starting cross validation
- 2022-01-17 14:04:55,165:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:55,407:INFO:Calculating mean and std
- 2022-01-17 14:04:55,408:INFO:Creating metrics dataframe
- 2022-01-17 14:04:55,411:INFO:Uploading results into container
- 2022-01-17 14:04:55,411:INFO:Uploading model into container now
- 2022-01-17 14:04:55,412:INFO:create_model_container: 4
- 2022-01-17 14:04:55,412:INFO:master_model_container: 4
- 2022-01-17 14:04:55,412:INFO:display_container: 2
- 2022-01-17 14:04:55,412:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7446, splitter='best')
- 2022-01-17 14:04:55,412:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:55,474:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:55,475:INFO:Creating metrics dataframe
- 2022-01-17 14:04:55,486:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 14:04:55,486:INFO:Total runtime is 0.13847911755243938 minutes
- 2022-01-17 14:04:55,491:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:55,491:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:55,492:INFO:Checking exceptions
- 2022-01-17 14:04:55,492:INFO:Importing libraries
- 2022-01-17 14:04:55,492:INFO:Copying training dataset
- 2022-01-17 14:04:55,493:INFO:Defining folds
- 2022-01-17 14:04:55,493:INFO:Declaring metric variables
- 2022-01-17 14:04:55,498:INFO:Importing untrained model
- 2022-01-17 14:04:55,502:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 14:04:55,512:INFO:Starting cross validation
- 2022-01-17 14:04:55,513:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:56,098:INFO:Calculating mean and std
- 2022-01-17 14:04:56,099:INFO:Creating metrics dataframe
- 2022-01-17 14:04:56,104:INFO:Uploading results into container
- 2022-01-17 14:04:56,105:INFO:Uploading model into container now
- 2022-01-17 14:04:56,105:INFO:create_model_container: 5
- 2022-01-17 14:04:56,105:INFO:master_model_container: 5
- 2022-01-17 14:04:56,105:INFO:display_container: 2
- 2022-01-17 14:04:56,106:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=7446, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 14:04:56,106:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:56,191:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:56,191:INFO:Creating metrics dataframe
- 2022-01-17 14:04:56,202:INFO:Initializing Ridge Classifier
- 2022-01-17 14:04:56,202:INFO:Total runtime is 0.15042424599329632 minutes
- 2022-01-17 14:04:56,208:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:56,208:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:56,208:INFO:Checking exceptions
- 2022-01-17 14:04:56,209:INFO:Importing libraries
- 2022-01-17 14:04:56,209:INFO:Copying training dataset
- 2022-01-17 14:04:56,209:INFO:Defining folds
- 2022-01-17 14:04:56,210:INFO:Declaring metric variables
- 2022-01-17 14:04:56,214:INFO:Importing untrained model
- 2022-01-17 14:04:56,219:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 14:04:56,230:INFO:Starting cross validation
- 2022-01-17 14:04:56,231:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:04:56,600:INFO:Calculating mean and std
- 2022-01-17 14:04:56,607:INFO:Creating metrics dataframe
- 2022-01-17 14:04:56,612:INFO:Uploading results into container
- 2022-01-17 14:04:56,617:INFO:Uploading model into container now
- 2022-01-17 14:04:56,618:INFO:create_model_container: 6
- 2022-01-17 14:04:56,618:INFO:master_model_container: 6
- 2022-01-17 14:04:56,618:INFO:display_container: 2
- 2022-01-17 14:04:56,618:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=7446,
- solver='auto', tol=0.001)
- 2022-01-17 14:04:56,619:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:04:56,710:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:04:56,710:INFO:Creating metrics dataframe
- 2022-01-17 14:04:56,722:INFO:Initializing Random Forest Classifier
- 2022-01-17 14:04:56,722:INFO:Total runtime is 0.1590816895167033 minutes
- 2022-01-17 14:04:56,727:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:04:56,727:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:04:56,728:INFO:Checking exceptions
- 2022-01-17 14:04:56,728:INFO:Importing libraries
- 2022-01-17 14:04:56,728:INFO:Copying training dataset
- 2022-01-17 14:04:56,729:INFO:Defining folds
- 2022-01-17 14:04:56,729:INFO:Declaring metric variables
- 2022-01-17 14:04:56,734:INFO:Importing untrained model
- 2022-01-17 14:04:56,738:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:04:56,749:INFO:Starting cross validation
- 2022-01-17 14:04:56,749:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:02,377:INFO:Calculating mean and std
- 2022-01-17 14:05:02,378:INFO:Creating metrics dataframe
- 2022-01-17 14:05:02,381:INFO:Uploading results into container
- 2022-01-17 14:05:02,381:INFO:Uploading model into container now
- 2022-01-17 14:05:02,381:INFO:create_model_container: 7
- 2022-01-17 14:05:02,381:INFO:master_model_container: 7
- 2022-01-17 14:05:02,381:INFO:display_container: 2
- 2022-01-17 14:05:02,382:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:02,382:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:02,454:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:02,455:INFO:Creating metrics dataframe
- 2022-01-17 14:05:02,467:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 14:05:02,467:INFO:Total runtime is 0.2548285245895386 minutes
- 2022-01-17 14:05:02,472:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:02,472:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:02,473:INFO:Checking exceptions
- 2022-01-17 14:05:02,473:INFO:Importing libraries
- 2022-01-17 14:05:02,473:INFO:Copying training dataset
- 2022-01-17 14:05:02,474:INFO:Defining folds
- 2022-01-17 14:05:02,474:INFO:Declaring metric variables
- 2022-01-17 14:05:02,478:INFO:Importing untrained model
- 2022-01-17 14:05:02,483:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 14:05:02,493:INFO:Starting cross validation
- 2022-01-17 14:05:02,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:02,821:INFO:Calculating mean and std
- 2022-01-17 14:05:02,822:INFO:Creating metrics dataframe
- 2022-01-17 14:05:02,828:INFO:Uploading results into container
- 2022-01-17 14:05:02,829:INFO:Uploading model into container now
- 2022-01-17 14:05:02,829:INFO:create_model_container: 8
- 2022-01-17 14:05:02,830:INFO:master_model_container: 8
- 2022-01-17 14:05:02,830:INFO:display_container: 2
- 2022-01-17 14:05:02,830:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 14:05:02,830:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:02,910:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:02,910:INFO:Creating metrics dataframe
- 2022-01-17 14:05:02,922:INFO:Initializing Ada Boost Classifier
- 2022-01-17 14:05:02,922:INFO:Total runtime is 0.2624213774998983 minutes
- 2022-01-17 14:05:02,928:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:02,928:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:02,928:INFO:Checking exceptions
- 2022-01-17 14:05:02,929:INFO:Importing libraries
- 2022-01-17 14:05:02,929:INFO:Copying training dataset
- 2022-01-17 14:05:02,930:INFO:Defining folds
- 2022-01-17 14:05:02,930:INFO:Declaring metric variables
- 2022-01-17 14:05:02,935:INFO:Importing untrained model
- 2022-01-17 14:05:02,939:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 14:05:02,950:INFO:Starting cross validation
- 2022-01-17 14:05:02,950:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:05,184:INFO:Calculating mean and std
- 2022-01-17 14:05:05,185:INFO:Creating metrics dataframe
- 2022-01-17 14:05:05,187:INFO:Uploading results into container
- 2022-01-17 14:05:05,187:INFO:Uploading model into container now
- 2022-01-17 14:05:05,187:INFO:create_model_container: 9
- 2022-01-17 14:05:05,187:INFO:master_model_container: 9
- 2022-01-17 14:05:05,188:INFO:display_container: 2
- 2022-01-17 14:05:05,188:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=7446)
- 2022-01-17 14:05:05,188:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:05,253:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:05,253:INFO:Creating metrics dataframe
- 2022-01-17 14:05:05,265:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 14:05:05,265:INFO:Total runtime is 0.3014698584874471 minutes
- 2022-01-17 14:05:05,270:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:05,271:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:05,271:INFO:Checking exceptions
- 2022-01-17 14:05:05,271:INFO:Importing libraries
- 2022-01-17 14:05:05,271:INFO:Copying training dataset
- 2022-01-17 14:05:05,272:INFO:Defining folds
- 2022-01-17 14:05:05,272:INFO:Declaring metric variables
- 2022-01-17 14:05:05,277:INFO:Importing untrained model
- 2022-01-17 14:05:05,281:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 14:05:05,291:INFO:Starting cross validation
- 2022-01-17 14:05:05,292:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:11,522:INFO:Calculating mean and std
- 2022-01-17 14:05:11,523:INFO:Creating metrics dataframe
- 2022-01-17 14:05:11,525:INFO:Uploading results into container
- 2022-01-17 14:05:11,526:INFO:Uploading model into container now
- 2022-01-17 14:05:11,526:INFO:create_model_container: 10
- 2022-01-17 14:05:11,526:INFO:master_model_container: 10
- 2022-01-17 14:05:11,526:INFO:display_container: 2
- 2022-01-17 14:05:11,527:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7446, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:11,527:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:11,591:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:11,591:INFO:Creating metrics dataframe
- 2022-01-17 14:05:11,604:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 14:05:11,604:INFO:Total runtime is 0.40711584091186526 minutes
- 2022-01-17 14:05:11,609:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:11,610:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:11,610:INFO:Checking exceptions
- 2022-01-17 14:05:11,610:INFO:Importing libraries
- 2022-01-17 14:05:11,611:INFO:Copying training dataset
- 2022-01-17 14:05:11,612:INFO:Defining folds
- 2022-01-17 14:05:11,612:INFO:Declaring metric variables
- 2022-01-17 14:05:11,617:INFO:Importing untrained model
- 2022-01-17 14:05:11,621:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 14:05:11,632:INFO:Starting cross validation
- 2022-01-17 14:05:11,632:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:12,677:INFO:Calculating mean and std
- 2022-01-17 14:05:12,685:INFO:Creating metrics dataframe
- 2022-01-17 14:05:12,692:INFO:Uploading results into container
- 2022-01-17 14:05:12,694:INFO:Uploading model into container now
- 2022-01-17 14:05:12,696:INFO:create_model_container: 11
- 2022-01-17 14:05:12,696:INFO:master_model_container: 11
- 2022-01-17 14:05:12,696:INFO:display_container: 2
- 2022-01-17 14:05:12,697:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 14:05:12,697:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:12,787:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:12,788:INFO:Creating metrics dataframe
- 2022-01-17 14:05:12,801:INFO:Initializing Extra Trees Classifier
- 2022-01-17 14:05:12,801:INFO:Total runtime is 0.42706976731618246 minutes
- 2022-01-17 14:05:12,807:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:12,807:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:12,807:INFO:Checking exceptions
- 2022-01-17 14:05:12,807:INFO:Importing libraries
- 2022-01-17 14:05:12,808:INFO:Copying training dataset
- 2022-01-17 14:05:12,808:INFO:Defining folds
- 2022-01-17 14:05:12,808:INFO:Declaring metric variables
- 2022-01-17 14:05:12,813:INFO:Importing untrained model
- 2022-01-17 14:05:12,818:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 14:05:12,827:INFO:Starting cross validation
- 2022-01-17 14:05:12,828:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:18,501:INFO:Calculating mean and std
- 2022-01-17 14:05:18,501:INFO:Creating metrics dataframe
- 2022-01-17 14:05:18,504:INFO:Uploading results into container
- 2022-01-17 14:05:18,504:INFO:Uploading model into container now
- 2022-01-17 14:05:18,504:INFO:create_model_container: 12
- 2022-01-17 14:05:18,505:INFO:master_model_container: 12
- 2022-01-17 14:05:18,505:INFO:display_container: 2
- 2022-01-17 14:05:18,505:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:18,505:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:18,575:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:18,575:INFO:Creating metrics dataframe
- 2022-01-17 14:05:18,588:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 14:05:18,589:INFO:Total runtime is 0.5235265612602233 minutes
- 2022-01-17 14:05:18,594:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:18,594:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:18,595:INFO:Checking exceptions
- 2022-01-17 14:05:18,595:INFO:Importing libraries
- 2022-01-17 14:05:18,595:INFO:Copying training dataset
- 2022-01-17 14:05:18,596:INFO:Defining folds
- 2022-01-17 14:05:18,596:INFO:Declaring metric variables
- 2022-01-17 14:05:18,601:INFO:Importing untrained model
- 2022-01-17 14:05:18,605:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 14:05:18,615:INFO:Starting cross validation
- 2022-01-17 14:05:18,616:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:20,236:INFO:Calculating mean and std
- 2022-01-17 14:05:20,237:INFO:Creating metrics dataframe
- 2022-01-17 14:05:20,239:INFO:Uploading results into container
- 2022-01-17 14:05:20,240:INFO:Uploading model into container now
- 2022-01-17 14:05:20,240:INFO:create_model_container: 13
- 2022-01-17 14:05:20,240:INFO:master_model_container: 13
- 2022-01-17 14:05:20,240:INFO:display_container: 2
- 2022-01-17 14:05:20,241:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7446, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 14:05:20,241:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:20,307:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:20,307:INFO:Creating metrics dataframe
- 2022-01-17 14:05:20,320:INFO:Initializing Dummy Classifier
- 2022-01-17 14:05:20,321:INFO:Total runtime is 0.5523936629295348 minutes
- 2022-01-17 14:05:20,326:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:05:20,327:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:05:20,327:INFO:Checking exceptions
- 2022-01-17 14:05:20,327:INFO:Importing libraries
- 2022-01-17 14:05:20,327:INFO:Copying training dataset
- 2022-01-17 14:05:20,328:INFO:Defining folds
- 2022-01-17 14:05:20,328:INFO:Declaring metric variables
- 2022-01-17 14:05:20,333:INFO:Importing untrained model
- 2022-01-17 14:05:20,338:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 14:05:20,348:INFO:Starting cross validation
- 2022-01-17 14:05:20,348:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:05:20,410:INFO:Calculating mean and std
- 2022-01-17 14:05:20,411:INFO:Creating metrics dataframe
- 2022-01-17 14:05:20,414:INFO:Uploading results into container
- 2022-01-17 14:05:20,414:INFO:Uploading model into container now
- 2022-01-17 14:05:20,414:INFO:create_model_container: 14
- 2022-01-17 14:05:20,414:INFO:master_model_container: 14
- 2022-01-17 14:05:20,415:INFO:display_container: 2
- 2022-01-17 14:05:20,415:INFO:DummyClassifier(constant=None, random_state=7446, strategy='prior')
- 2022-01-17 14:05:20,415:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:05:20,480:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:05:20,480:INFO:Creating metrics dataframe
- 2022-01-17 14:05:20,506:INFO:Initializing create_model()
- 2022-01-17 14:05:20,507:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- 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={})
- 2022-01-17 14:05:20,507:INFO:Checking exceptions
- 2022-01-17 14:05:20,507:INFO:Importing libraries
- 2022-01-17 14:05:20,507:INFO:Copying training dataset
- 2022-01-17 14:05:20,508:INFO:Defining folds
- 2022-01-17 14:05:20,508:INFO:Declaring metric variables
- 2022-01-17 14:05:20,508:INFO:Importing untrained model
- 2022-01-17 14:05:20,508:INFO:Declaring custom model
- 2022-01-17 14:05:20,509:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:05:20,509:INFO:Cross validation set to False
- 2022-01-17 14:05:20,509:INFO:Fitting Model
- 2022-01-17 14:05:20,787:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:20,787:INFO:create_models() succesfully completed......................................
- 2022-01-17 14:05:20,887:INFO:create_model_container: 14
- 2022-01-17 14:05:20,888:INFO:master_model_container: 14
- 2022-01-17 14:05:20,888:INFO:display_container: 2
- 2022-01-17 14:05:20,888:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:05:20,888:INFO:compare_models() succesfully completed......................................
- 2022-01-17 14:06:31,806:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:06:31,806:INFO:Checking exceptions
- 2022-01-17 14:06:31,806:INFO:Preparing display monitor
- 2022-01-17 14:06:31,817:INFO:Importing libraries
- 2022-01-17 14:06:31,817:INFO:Copying training dataset
- 2022-01-17 14:06:31,818:INFO:Defining folds
- 2022-01-17 14:06:31,818:INFO:Declaring metric variables
- 2022-01-17 14:06:31,823:INFO:Importing untrained model
- 2022-01-17 14:06:31,828:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:06:31,838:INFO:Starting cross validation
- 2022-01-17 14:06:31,838:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:06:37,443:INFO:Calculating mean and std
- 2022-01-17 14:06:37,444:INFO:Creating metrics dataframe
- 2022-01-17 14:06:37,451:INFO:Finalizing model
- 2022-01-17 14:06:37,727:INFO:Uploading results into container
- 2022-01-17 14:06:37,728:INFO:Uploading model into container now
- 2022-01-17 14:06:37,738:INFO:create_model_container: 15
- 2022-01-17 14:06:37,738:INFO:master_model_container: 15
- 2022-01-17 14:06:37,738:INFO:display_container: 3
- 2022-01-17 14:06:37,739:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:06:37,739:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:07:03,806:INFO:Initializing tune_model()
- 2022-01-17 14:07:03,806:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- 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={})
- 2022-01-17 14:07:03,806:INFO:Checking exceptions
- 2022-01-17 14:07:03,807:INFO:Preparing display monitor
- 2022-01-17 14:07:03,817:INFO:Copying training dataset
- 2022-01-17 14:07:03,818:INFO:Checking base model
- 2022-01-17 14:07:03,819:INFO:Base model : Random Forest Classifier
- 2022-01-17 14:07:03,823:INFO:Declaring metric variables
- 2022-01-17 14:07:03,828:INFO:Defining Hyperparameters
- 2022-01-17 14:07:03,903:INFO:Tuning with n_jobs=-1
- 2022-01-17 14:07:03,903:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-17 14:07:09,322:INFO:Hyperparameter search completed
- 2022-01-17 14:07:09,322:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:07:09,323:INFO:Initializing create_model()
- 2022-01-17 14:07:09,323:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, 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 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})
- 2022-01-17 14:07:09,323:INFO:Checking exceptions
- 2022-01-17 14:07:09,323:INFO:Importing libraries
- 2022-01-17 14:07:09,323:INFO:Copying training dataset
- 2022-01-17 14:07:09,324:INFO:Defining folds
- 2022-01-17 14:07:09,324:INFO:Declaring metric variables
- 2022-01-17 14:07:09,330:INFO:Importing untrained model
- 2022-01-17 14:07:09,330:INFO:Declaring custom model
- 2022-01-17 14:07:09,335:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:07:09,344:INFO:Starting cross validation
- 2022-01-17 14:07:09,345:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:07:13,115:INFO:Calculating mean and std
- 2022-01-17 14:07:13,116:INFO:Creating metrics dataframe
- 2022-01-17 14:07:13,123:INFO:Finalizing model
- 2022-01-17 14:07:13,260:INFO:Uploading results into container
- 2022-01-17 14:07:13,261:INFO:Uploading model into container now
- 2022-01-17 14:07:13,261:INFO:create_model_container: 16
- 2022-01-17 14:07:13,261:INFO:master_model_container: 16
- 2022-01-17 14:07:13,261:INFO:display_container: 4
- 2022-01-17 14:07:13,262:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:07:13,262:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:07:13,329:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:07:13,339:INFO:create_model_container: 16
- 2022-01-17 14:07:13,339:INFO:master_model_container: 16
- 2022-01-17 14:07:13,340:INFO:display_container: 4
- 2022-01-17 14:07:13,340:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:07:13,340:INFO:tune_model() succesfully completed......................................
- 2022-01-17 14:07:22,106:INFO:Initializing evaluate_model()
- 2022-01-17 14:07:22,106:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 14:07:22,117:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:22,118:INFO:Checking exceptions
- 2022-01-17 14:07:22,127:INFO:Preparing display monitor
- 2022-01-17 14:07:22,132:INFO:Preloading libraries
- 2022-01-17 14:07:22,139:INFO:Copying training dataset
- 2022-01-17 14:07:22,140:INFO:Copying test dataset
- 2022-01-17 14:07:22,140:INFO:Plot type: parameter
- 2022-01-17 14:07:22,161:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:22,235:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:07:24,656:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:24,657:INFO:Checking exceptions
- 2022-01-17 14:07:24,666:INFO:Preparing display monitor
- 2022-01-17 14:07:24,671:INFO:Preloading libraries
- 2022-01-17 14:07:24,679:INFO:Copying training dataset
- 2022-01-17 14:07:24,679:INFO:Copying test dataset
- 2022-01-17 14:07:24,679:INFO:Plot type: auc
- 2022-01-17 14:07:24,696:INFO:Initializing get_config()
- 2022-01-17 14:07:24,696:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:07:24,699:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:07:24,699:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:07:24,700:INFO:Fitting Model
- 2022-01-17 14:07:24,701:INFO:Scoring test/hold-out set
- 2022-01-17 14:07:24,849:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:24,920:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:07:29,582:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:29,583:INFO:Checking exceptions
- 2022-01-17 14:07:29,591:INFO:Preparing display monitor
- 2022-01-17 14:07:29,596:INFO:Preloading libraries
- 2022-01-17 14:07:29,602:INFO:Copying training dataset
- 2022-01-17 14:07:29,602:INFO:Copying test dataset
- 2022-01-17 14:07:29,603:INFO:Plot type: threshold
- 2022-01-17 14:07:29,619:INFO:Fitting Model
- 2022-01-17 14:07:37,342:INFO:Scoring test/hold-out set
- 2022-01-17 14:07:37,610:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:37,687:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:07:41,486:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:41,487:INFO:Checking exceptions
- 2022-01-17 14:07:41,496:INFO:Preparing display monitor
- 2022-01-17 14:07:41,501:INFO:Preloading libraries
- 2022-01-17 14:07:41,509:INFO:Copying training dataset
- 2022-01-17 14:07:41,510:INFO:Copying test dataset
- 2022-01-17 14:07:41,510:INFO:Plot type: pr
- 2022-01-17 14:07:41,527:INFO:Fitting Model
- 2022-01-17 14:07:41,528:INFO:Scoring test/hold-out set
- 2022-01-17 14:07:41,672:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:41,741:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:07:45,037:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:07:45,038:INFO:Checking exceptions
- 2022-01-17 14:07:45,047:INFO:Preparing display monitor
- 2022-01-17 14:07:45,052:INFO:Preloading libraries
- 2022-01-17 14:07:45,060:INFO:Copying training dataset
- 2022-01-17 14:07:45,060:INFO:Copying test dataset
- 2022-01-17 14:07:45,061:INFO:Plot type: error
- 2022-01-17 14:07:45,077:INFO:Initializing get_config()
- 2022-01-17 14:07:45,077:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:07:45,080:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:07:45,081:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:07:45,081:INFO:Fitting Model
- 2022-01-17 14:07:45,082:INFO:Scoring test/hold-out set
- 2022-01-17 14:07:45,213:INFO:Visual Rendered Successfully
- 2022-01-17 14:07:45,291:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:08:04,305:INFO:Initializing tune_model()
- 2022-01-17 14:08:04,306:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- 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={})
- 2022-01-17 14:08:04,306:INFO:Checking exceptions
- 2022-01-17 14:08:04,307:INFO:Preparing display monitor
- 2022-01-17 14:08:04,318:INFO:Copying training dataset
- 2022-01-17 14:08:04,319:INFO:Checking base model
- 2022-01-17 14:08:04,319:INFO:Base model : Random Forest Classifier
- 2022-01-17 14:08:04,325:INFO:Declaring metric variables
- 2022-01-17 14:08:04,329:INFO:Defining Hyperparameters
- 2022-01-17 14:08:04,410:INFO:Tuning with n_jobs=-1
- 2022-01-17 14:08:04,410:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-17 14:08:08,771:INFO:Hyperparameter search completed
- 2022-01-17 14:08:08,771:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:08:08,772:INFO:Initializing create_model()
- 2022-01-17 14:08:08,772:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, 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 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})
- 2022-01-17 14:08:08,772:INFO:Checking exceptions
- 2022-01-17 14:08:08,772:INFO:Importing libraries
- 2022-01-17 14:08:08,772:INFO:Copying training dataset
- 2022-01-17 14:08:08,773:INFO:Defining folds
- 2022-01-17 14:08:08,774:INFO:Declaring metric variables
- 2022-01-17 14:08:08,781:INFO:Importing untrained model
- 2022-01-17 14:08:08,781:INFO:Declaring custom model
- 2022-01-17 14:08:08,788:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:08:08,801:INFO:Starting cross validation
- 2022-01-17 14:08:08,802:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:08:12,590:INFO:Calculating mean and std
- 2022-01-17 14:08:12,590:INFO:Creating metrics dataframe
- 2022-01-17 14:08:12,597:INFO:Finalizing model
- 2022-01-17 14:08:12,739:INFO:Uploading results into container
- 2022-01-17 14:08:12,739:INFO:Uploading model into container now
- 2022-01-17 14:08:12,739:INFO:create_model_container: 17
- 2022-01-17 14:08:12,739:INFO:master_model_container: 17
- 2022-01-17 14:08:12,740:INFO:display_container: 5
- 2022-01-17 14:08:12,740:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:08:12,740:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:08:12,809:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:08:12,819:INFO:create_model_container: 17
- 2022-01-17 14:08:12,819:INFO:master_model_container: 17
- 2022-01-17 14:08:12,819:INFO:display_container: 5
- 2022-01-17 14:08:12,820:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight='balanced',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:08:12,820:INFO:tune_model() succesfully completed......................................
- 2022-01-17 14:08:19,986:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:08:19,987:INFO:Checking exceptions
- 2022-01-17 14:08:19,987:INFO:Preparing display monitor
- 2022-01-17 14:08:19,998:INFO:Importing libraries
- 2022-01-17 14:08:19,999:INFO:Copying training dataset
- 2022-01-17 14:08:19,999:INFO:Defining folds
- 2022-01-17 14:08:20,000:INFO:Declaring metric variables
- 2022-01-17 14:08:20,005:INFO:Importing untrained model
- 2022-01-17 14:08:20,009:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:08:20,020:INFO:Starting cross validation
- 2022-01-17 14:08:20,021:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:08:25,648:INFO:Calculating mean and std
- 2022-01-17 14:08:25,649:INFO:Creating metrics dataframe
- 2022-01-17 14:08:25,656:INFO:Finalizing model
- 2022-01-17 14:08:25,929:INFO:Uploading results into container
- 2022-01-17 14:08:25,929:INFO:Uploading model into container now
- 2022-01-17 14:08:25,939:INFO:create_model_container: 18
- 2022-01-17 14:08:25,940:INFO:master_model_container: 18
- 2022-01-17 14:08:25,940:INFO:display_container: 6
- 2022-01-17 14:08:25,940:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False)
- 2022-01-17 14:08:25,940:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:08:30,894:INFO:Initializing evaluate_model()
- 2022-01-17 14:08:30,895:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 14:08:30,905:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:08:30,905:INFO:Checking exceptions
- 2022-01-17 14:08:30,919:INFO:Preparing display monitor
- 2022-01-17 14:08:30,924:INFO:Preloading libraries
- 2022-01-17 14:08:30,931:INFO:Copying training dataset
- 2022-01-17 14:08:30,932:INFO:Copying test dataset
- 2022-01-17 14:08:30,933:INFO:Plot type: parameter
- 2022-01-17 14:08:30,964:INFO:Visual Rendered Successfully
- 2022-01-17 14:08:31,041:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:08:33,412:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:08:33,413:INFO:Checking exceptions
- 2022-01-17 14:08:33,427:INFO:Preparing display monitor
- 2022-01-17 14:08:33,432:INFO:Preloading libraries
- 2022-01-17 14:08:33,438:INFO:Copying training dataset
- 2022-01-17 14:08:33,438:INFO:Copying test dataset
- 2022-01-17 14:08:33,439:INFO:Plot type: auc
- 2022-01-17 14:08:33,466:INFO:Initializing get_config()
- 2022-01-17 14:08:33,466:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:08:33,469:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:08:33,469:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:08:33,470:INFO:Fitting Model
- 2022-01-17 14:08:33,471:INFO:Scoring test/hold-out set
- 2022-01-17 14:08:33,631:INFO:Visual Rendered Successfully
- 2022-01-17 14:08:33,705:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:08:36,846:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:08:36,847:INFO:Checking exceptions
- 2022-01-17 14:08:36,860:INFO:Preparing display monitor
- 2022-01-17 14:08:36,865:INFO:Preloading libraries
- 2022-01-17 14:08:36,872:INFO:Copying training dataset
- 2022-01-17 14:08:36,872:INFO:Copying test dataset
- 2022-01-17 14:08:36,873:INFO:Plot type: feature
- 2022-01-17 14:08:36,898:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:08:36,994:INFO:Visual Rendered Successfully
- 2022-01-17 14:08:37,080:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:08:47,377:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:08:47,377:INFO:Checking exceptions
- 2022-01-17 14:08:47,391:INFO:Preparing display monitor
- 2022-01-17 14:08:47,396:INFO:Preloading libraries
- 2022-01-17 14:08:47,403:INFO:Copying training dataset
- 2022-01-17 14:08:47,404:INFO:Copying test dataset
- 2022-01-17 14:08:47,404:INFO:Plot type: threshold
- 2022-01-17 14:08:47,431:INFO:Fitting Model
- 2022-01-17 14:09:02,447:INFO:Scoring test/hold-out set
- 2022-01-17 14:09:02,654:INFO:Visual Rendered Successfully
- 2022-01-17 14:09:02,725:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:09:05,558:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:09:05,559:INFO:Checking exceptions
- 2022-01-17 14:09:05,572:INFO:Preparing display monitor
- 2022-01-17 14:09:05,576:INFO:Preloading libraries
- 2022-01-17 14:09:05,583:INFO:Copying training dataset
- 2022-01-17 14:09:05,583:INFO:Copying test dataset
- 2022-01-17 14:09:05,584:INFO:Plot type: boundary
- 2022-01-17 14:09:05,613:INFO:Fitting StandardScaler()
- 2022-01-17 14:09:05,622:INFO:Fitting PCA()
- 2022-01-17 14:09:05,715:INFO:Initializing get_config()
- 2022-01-17 14:09:05,716:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:09:05,720:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:09:05,720:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:09:05,721:INFO:Fitting Model
- 2022-01-17 14:09:07,028:INFO:Visual Rendered Successfully
- 2022-01-17 14:09:07,132:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:09:19,334:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:09:19,334:INFO:Checking exceptions
- 2022-01-17 14:09:19,348:INFO:Preparing display monitor
- 2022-01-17 14:09:19,353:INFO:Preloading libraries
- 2022-01-17 14:09:19,359:INFO:Copying training dataset
- 2022-01-17 14:09:19,360:INFO:Copying test dataset
- 2022-01-17 14:09:19,360:INFO:Plot type: lift
- 2022-01-17 14:09:19,386:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 14:09:19,515:INFO:Visual Rendered Successfully
- 2022-01-17 14:09:19,589:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:09:23,210:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:09:23,211:INFO:Checking exceptions
- 2022-01-17 14:09:23,224:INFO:Preparing display monitor
- 2022-01-17 14:09:23,229:INFO:Preloading libraries
- 2022-01-17 14:09:23,235:INFO:Copying training dataset
- 2022-01-17 14:09:23,236:INFO:Copying test dataset
- 2022-01-17 14:09:23,236:INFO:Plot type: gain
- 2022-01-17 14:09:23,262:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 14:09:23,384:INFO:Visual Rendered Successfully
- 2022-01-17 14:09:23,464:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:09:25,495:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:09:25,496:INFO:Checking exceptions
- 2022-01-17 14:09:25,509:INFO:Preparing display monitor
- 2022-01-17 14:09:25,515:INFO:Preloading libraries
- 2022-01-17 14:09:25,521:INFO:Copying training dataset
- 2022-01-17 14:09:25,522:INFO:Copying test dataset
- 2022-01-17 14:09:25,522:INFO:Plot type: tree
- 2022-01-17 14:09:26,537:INFO:Plotting decision trees
- 2022-01-17 14:09:26,542:INFO:Plotting tree 0
- 2022-01-17 14:09:28,332:INFO:Plotting tree 1
- 2022-01-17 14:09:30,091:INFO:Plotting tree 2
- 2022-01-17 14:09:31,900:INFO:Plotting tree 3
- 2022-01-17 14:09:33,639:INFO:Plotting tree 4
- 2022-01-17 14:09:35,406:INFO:Plotting tree 5
- 2022-01-17 14:09:37,118:INFO:Plotting tree 6
- 2022-01-17 14:09:38,825:INFO:Plotting tree 7
- 2022-01-17 14:09:40,746:INFO:Plotting tree 8
- 2022-01-17 14:09:42,530:INFO:Plotting tree 9
- 2022-01-17 14:09:44,309:INFO:Plotting tree 10
- 2022-01-17 14:09:45,969:INFO:Plotting tree 11
- 2022-01-17 14:09:47,996:INFO:Plotting tree 12
- 2022-01-17 14:09:49,746:INFO:Plotting tree 13
- 2022-01-17 14:09:51,378:INFO:Plotting tree 14
- 2022-01-17 14:09:53,261:INFO:Plotting tree 15
- 2022-01-17 14:09:55,019:INFO:Plotting tree 16
- 2022-01-17 14:09:56,745:INFO:Plotting tree 17
- 2022-01-17 14:09:58,676:INFO:Plotting tree 18
- 2022-01-17 14:10:00,263:INFO:Plotting tree 19
- 2022-01-17 14:10:02,089:INFO:Plotting tree 20
- 2022-01-17 14:10:03,925:INFO:Plotting tree 21
- 2022-01-17 14:10:05,516:INFO:Plotting tree 22
- 2022-01-17 14:10:07,184:INFO:Plotting tree 23
- 2022-01-17 14:10:09,142:INFO:Plotting tree 24
- 2022-01-17 14:10:10,768:INFO:Plotting tree 25
- 2022-01-17 14:10:12,383:INFO:Plotting tree 26
- 2022-01-17 14:10:14,068:INFO:Plotting tree 27
- 2022-01-17 14:10:15,780:INFO:Plotting tree 28
- 2022-01-17 14:10:17,441:INFO:Plotting tree 29
- 2022-01-17 14:10:19,177:INFO:Plotting tree 30
- 2022-01-17 14:10:20,973:INFO:Plotting tree 31
- 2022-01-17 14:10:22,854:INFO:Plotting tree 32
- 2022-01-17 14:10:24,603:INFO:Plotting tree 33
- 2022-01-17 14:10:26,152:INFO:Plotting tree 34
- 2022-01-17 14:10:27,861:INFO:Plotting tree 35
- 2022-01-17 14:10:29,600:INFO:Plotting tree 36
- 2022-01-17 14:10:31,275:INFO:Plotting tree 37
- 2022-01-17 14:10:33,163:INFO:Plotting tree 38
- 2022-01-17 14:10:34,802:INFO:Plotting tree 39
- 2022-01-17 14:10:36,516:INFO:Plotting tree 40
- 2022-01-17 14:10:38,677:INFO:Plotting tree 41
- 2022-01-17 14:10:40,351:INFO:Plotting tree 42
- 2022-01-17 14:10:42,134:INFO:Plotting tree 43
- 2022-01-17 14:10:43,788:INFO:Plotting tree 44
- 2022-01-17 14:10:45,502:INFO:Plotting tree 45
- 2022-01-17 14:10:47,238:INFO:Plotting tree 46
- 2022-01-17 14:10:49,055:INFO:Plotting tree 47
- 2022-01-17 14:10:50,813:INFO:Plotting tree 48
- 2022-01-17 14:10:52,595:INFO:Plotting tree 49
- 2022-01-17 14:10:54,325:INFO:Plotting tree 50
- 2022-01-17 14:10:56,089:INFO:Plotting tree 51
- 2022-01-17 14:10:58,219:INFO:Plotting tree 52
- 2022-01-17 14:10:59,776:INFO:Plotting tree 53
- 2022-01-17 14:11:01,532:INFO:Plotting tree 54
- 2022-01-17 14:11:03,177:INFO:Plotting tree 55
- 2022-01-17 14:11:05,002:INFO:Plotting tree 56
- 2022-01-17 14:11:06,885:INFO:Plotting tree 57
- 2022-01-17 14:11:08,543:INFO:Plotting tree 58
- 2022-01-17 14:11:10,182:INFO:Plotting tree 59
- 2022-01-17 14:11:11,836:INFO:Plotting tree 60
- 2022-01-17 14:11:13,648:INFO:Plotting tree 61
- 2022-01-17 14:11:15,345:INFO:Plotting tree 62
- 2022-01-17 14:11:17,166:INFO:Plotting tree 63
- 2022-01-17 14:11:19,487:INFO:Plotting tree 64
- 2022-01-17 14:11:21,292:INFO:Plotting tree 65
- 2022-01-17 14:11:22,969:INFO:Plotting tree 66
- 2022-01-17 14:11:24,654:INFO:Plotting tree 67
- 2022-01-17 14:11:26,434:INFO:Plotting tree 68
- 2022-01-17 14:11:28,139:INFO:Plotting tree 69
- 2022-01-17 14:11:29,848:INFO:Plotting tree 70
- 2022-01-17 14:11:31,585:INFO:Plotting tree 71
- 2022-01-17 14:11:33,241:INFO:Plotting tree 72
- 2022-01-17 14:11:35,057:INFO:Plotting tree 73
- 2022-01-17 14:11:36,731:INFO:Plotting tree 74
- 2022-01-17 14:11:38,269:INFO:Plotting tree 75
- 2022-01-17 14:11:40,126:INFO:Plotting tree 76
- 2022-01-17 14:11:41,992:INFO:Plotting tree 77
- 2022-01-17 14:11:43,863:INFO:Plotting tree 78
- 2022-01-17 14:11:46,324:INFO:Plotting tree 79
- 2022-01-17 14:11:48,142:INFO:Plotting tree 80
- 2022-01-17 14:11:50,008:INFO:Plotting tree 81
- 2022-01-17 14:11:51,671:INFO:Plotting tree 82
- 2022-01-17 14:11:53,472:INFO:Plotting tree 83
- 2022-01-17 14:11:55,450:INFO:Plotting tree 84
- 2022-01-17 14:11:57,306:INFO:Plotting tree 85
- 2022-01-17 14:11:59,101:INFO:Plotting tree 86
- 2022-01-17 14:12:00,769:INFO:Plotting tree 87
- 2022-01-17 14:12:02,525:INFO:Plotting tree 88
- 2022-01-17 14:12:04,110:INFO:Plotting tree 89
- 2022-01-17 14:12:05,813:INFO:Plotting tree 90
- 2022-01-17 14:12:07,556:INFO:Plotting tree 91
- 2022-01-17 14:12:09,137:INFO:Plotting tree 92
- 2022-01-17 14:12:10,846:INFO:Plotting tree 93
- 2022-01-17 14:12:12,496:INFO:Plotting tree 94
- 2022-01-17 14:12:14,130:INFO:Plotting tree 95
- 2022-01-17 14:12:16,541:INFO:Plotting tree 96
- 2022-01-17 14:12:18,264:INFO:Plotting tree 97
- 2022-01-17 14:12:20,048:INFO:Plotting tree 98
- 2022-01-17 14:12:21,761:INFO:Plotting tree 99
- 2022-01-17 14:18:50,862:INFO:Initializing plot_model()
- 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',
- criterion='gini', max_depth=9, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.3, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=10,
- min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1,
- oob_score=False, random_state=7446, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=feature, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-01-17 14:18:50,863:INFO:Checking exceptions
- 2022-01-17 14:18:50,871:INFO:Preparing display monitor
- 2022-01-17 14:18:50,876:INFO:Preloading libraries
- 2022-01-17 14:18:50,885:INFO:Copying training dataset
- 2022-01-17 14:18:50,886:INFO:Copying test dataset
- 2022-01-17 14:18:50,887:INFO:Plot type: feature
- 2022-01-17 14:18:50,903:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:18:50,994:INFO:Visual Rendered Successfully
- 2022-01-17 14:18:52,566:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:20:56,926:INFO:PyCaret Supervised Module
- 2022-01-17 14:20:56,926:INFO:ML Usecase: classification
- 2022-01-17 14:20:56,926:INFO:version 2.3.6
- 2022-01-17 14:20:56,926:INFO:Initializing setup()
- 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)
- 2022-01-17 14:20:56,927:INFO:Checking environment
- 2022-01-17 14:20:56,927:INFO:python_version: 3.8.8
- 2022-01-17 14:20:56,927:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 14:20:56,927:INFO:machine: x86_64
- 2022-01-17 14:20:56,927:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 14:20:56,929:INFO:Physical Core: 16
- 2022-01-17 14:20:56,929:INFO:Logical Core: 32
- 2022-01-17 14:20:56,929:INFO:Checking libraries
- 2022-01-17 14:20:56,929:INFO:pd==1.2.4
- 2022-01-17 14:20:56,929:INFO:numpy==1.19.5
- 2022-01-17 14:20:56,929:INFO:sklearn==0.23.2
- 2022-01-17 14:20:56,929:INFO:lightgbm==3.3.2
- 2022-01-17 14:20:56,930:WARNING:catboost not found
- 2022-01-17 14:20:56,930:WARNING:xgboost not found
- 2022-01-17 14:20:57,049:INFO:mlflow==1.22.0
- 2022-01-17 14:20:57,050:INFO:Checking Exceptions
- 2022-01-17 14:20:57,050:INFO:Declaring global variables
- 2022-01-17 14:20:57,050:INFO:USI: 9111
- 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__'}
- 2022-01-17 14:20:57,051:INFO:Preparing display monitor
- 2022-01-17 14:20:57,051:INFO:Preparing display monitor
- 2022-01-17 14:20:57,062:INFO:Importing libraries
- 2022-01-17 14:20:57,063:INFO:Copying data for preprocessing
- 2022-01-17 14:20:57,068:INFO:Declaring preprocessing parameters
- 2022-01-17 14:20:57,069:WARNING:cuML not found
- 2022-01-17 14:20:57,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 14:20:57,071:INFO:Creating preprocessing pipeline
- 2022-01-17 14:20:57,086:INFO:Preprocessing pipeline created successfully
- 2022-01-17 14:20:57,087:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 14:20:57,087:INFO:Creating global containers
- 2022-01-17 14:20:57,088:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 14:21:38,452:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 14:21:38,480:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 14:21:38,481:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 14:21:38,482:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 14:21:38,497:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 14:21:38,501:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 14:21:38,503:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 14:21:38,509:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 14:21:38,513:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 14:21:38,541:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 14:21:38,541:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 14:21:38,542:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 14:21:38,556:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 14:21:38,559:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 14:21:38,560:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 14:21:38,564:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 14:21:38,565:INFO:Creating grid variables
- 2022-01-17 14:21:38,577:INFO:create_model_container: 0
- 2022-01-17 14:21:38,577:INFO:master_model_container: 0
- 2022-01-17 14:21:38,578:INFO:display_container: 1
- 2022-01-17 14:21:38,581:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:21:38,581:INFO:setup() succesfully completed......................................
- 2022-01-17 14:22:17,351:INFO:Initializing compare_models()
- 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)
- 2022-01-17 14:22:17,351:INFO:Checking exceptions
- 2022-01-17 14:22:17,352:INFO:Preparing display monitor
- 2022-01-17 14:22:17,352:INFO:Preparing display monitor
- 2022-01-17 14:22:17,369:INFO:Initializing Logistic Regression
- 2022-01-17 14:22:17,369:INFO:Total runtime is 5.825360616048177e-06 minutes
- 2022-01-17 14:22:17,375:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:17,375:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:17,376:INFO:Checking exceptions
- 2022-01-17 14:22:17,376:INFO:Importing libraries
- 2022-01-17 14:22:17,376:INFO:Copying training dataset
- 2022-01-17 14:22:17,377:INFO:Defining folds
- 2022-01-17 14:22:17,377:INFO:Declaring metric variables
- 2022-01-17 14:22:17,382:INFO:Importing untrained model
- 2022-01-17 14:22:17,387:INFO:Logistic Regression Imported succesfully
- 2022-01-17 14:22:17,398:INFO:Starting cross validation
- 2022-01-17 14:22:17,399:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:19,126:INFO:Calculating mean and std
- 2022-01-17 14:22:19,129:INFO:Creating metrics dataframe
- 2022-01-17 14:22:19,135:INFO:Uploading results into container
- 2022-01-17 14:22:19,136:INFO:Uploading model into container now
- 2022-01-17 14:22:19,136:INFO:create_model_container: 1
- 2022-01-17 14:22:19,136:INFO:master_model_container: 1
- 2022-01-17 14:22:19,136:INFO:display_container: 2
- 2022-01-17 14:22:19,137:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4642, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:19,137:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:19,220:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:19,220:INFO:Creating metrics dataframe
- 2022-01-17 14:22:19,229:INFO:Initializing K Neighbors Classifier
- 2022-01-17 14:22:19,229:INFO:Total runtime is 0.03100540240605672 minutes
- 2022-01-17 14:22:19,235:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:19,235:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:19,236:INFO:Checking exceptions
- 2022-01-17 14:22:19,236:INFO:Importing libraries
- 2022-01-17 14:22:19,236:INFO:Copying training dataset
- 2022-01-17 14:22:19,237:INFO:Defining folds
- 2022-01-17 14:22:19,237:INFO:Declaring metric variables
- 2022-01-17 14:22:19,241:INFO:Importing untrained model
- 2022-01-17 14:22:19,246:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 14:22:19,256:INFO:Starting cross validation
- 2022-01-17 14:22:19,257:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:24,781:INFO:Calculating mean and std
- 2022-01-17 14:22:24,782:INFO:Creating metrics dataframe
- 2022-01-17 14:22:24,785:INFO:Uploading results into container
- 2022-01-17 14:22:24,785:INFO:Uploading model into container now
- 2022-01-17 14:22:24,786:INFO:create_model_container: 2
- 2022-01-17 14:22:24,786:INFO:master_model_container: 2
- 2022-01-17 14:22:24,786:INFO:display_container: 2
- 2022-01-17 14:22:24,786:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 14:22:24,787:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:24,860:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:24,860:INFO:Creating metrics dataframe
- 2022-01-17 14:22:24,871:INFO:Initializing Naive Bayes
- 2022-01-17 14:22:24,871:INFO:Total runtime is 0.1250363866488139 minutes
- 2022-01-17 14:22:24,877:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:24,877:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:24,878:INFO:Checking exceptions
- 2022-01-17 14:22:24,878:INFO:Importing libraries
- 2022-01-17 14:22:24,878:INFO:Copying training dataset
- 2022-01-17 14:22:24,879:INFO:Defining folds
- 2022-01-17 14:22:24,879:INFO:Declaring metric variables
- 2022-01-17 14:22:24,885:INFO:Importing untrained model
- 2022-01-17 14:22:24,890:INFO:Naive Bayes Imported succesfully
- 2022-01-17 14:22:24,900:INFO:Starting cross validation
- 2022-01-17 14:22:24,901:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:25,010:INFO:Calculating mean and std
- 2022-01-17 14:22:25,010:INFO:Creating metrics dataframe
- 2022-01-17 14:22:25,013:INFO:Uploading results into container
- 2022-01-17 14:22:25,013:INFO:Uploading model into container now
- 2022-01-17 14:22:25,013:INFO:create_model_container: 3
- 2022-01-17 14:22:25,014:INFO:master_model_container: 3
- 2022-01-17 14:22:25,014:INFO:display_container: 2
- 2022-01-17 14:22:25,014:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 14:22:25,014:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:25,079:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:25,079:INFO:Creating metrics dataframe
- 2022-01-17 14:22:25,090:INFO:Initializing Decision Tree Classifier
- 2022-01-17 14:22:25,090:INFO:Total runtime is 0.12867645819981893 minutes
- 2022-01-17 14:22:25,095:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:25,096:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:25,096:INFO:Checking exceptions
- 2022-01-17 14:22:25,096:INFO:Importing libraries
- 2022-01-17 14:22:25,096:INFO:Copying training dataset
- 2022-01-17 14:22:25,097:INFO:Defining folds
- 2022-01-17 14:22:25,097:INFO:Declaring metric variables
- 2022-01-17 14:22:25,102:INFO:Importing untrained model
- 2022-01-17 14:22:25,107:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:22:25,117:INFO:Starting cross validation
- 2022-01-17 14:22:25,118:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:25,365:INFO:Calculating mean and std
- 2022-01-17 14:22:25,366:INFO:Creating metrics dataframe
- 2022-01-17 14:22:25,368:INFO:Uploading results into container
- 2022-01-17 14:22:25,368:INFO:Uploading model into container now
- 2022-01-17 14:22:25,369:INFO:create_model_container: 4
- 2022-01-17 14:22:25,369:INFO:master_model_container: 4
- 2022-01-17 14:22:25,369:INFO:display_container: 2
- 2022-01-17 14:22:25,369:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:22:25,369:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:25,435:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:25,436:INFO:Creating metrics dataframe
- 2022-01-17 14:22:25,447:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 14:22:25,447:INFO:Total runtime is 0.13463132778803508 minutes
- 2022-01-17 14:22:25,452:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:25,452:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:25,453:INFO:Checking exceptions
- 2022-01-17 14:22:25,453:INFO:Importing libraries
- 2022-01-17 14:22:25,453:INFO:Copying training dataset
- 2022-01-17 14:22:25,454:INFO:Defining folds
- 2022-01-17 14:22:25,454:INFO:Declaring metric variables
- 2022-01-17 14:22:25,458:INFO:Importing untrained model
- 2022-01-17 14:22:25,464:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 14:22:25,474:INFO:Starting cross validation
- 2022-01-17 14:22:25,474:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:26,094:INFO:Calculating mean and std
- 2022-01-17 14:22:26,095:INFO:Creating metrics dataframe
- 2022-01-17 14:22:26,102:INFO:Uploading results into container
- 2022-01-17 14:22:26,103:INFO:Uploading model into container now
- 2022-01-17 14:22:26,103:INFO:create_model_container: 5
- 2022-01-17 14:22:26,103:INFO:master_model_container: 5
- 2022-01-17 14:22:26,103:INFO:display_container: 2
- 2022-01-17 14:22:26,105:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4642, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 14:22:26,105:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:26,189:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:26,189:INFO:Creating metrics dataframe
- 2022-01-17 14:22:26,201:INFO:Initializing Ridge Classifier
- 2022-01-17 14:22:26,201:INFO:Total runtime is 0.14719861348470054 minutes
- 2022-01-17 14:22:26,206:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:26,207:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:26,207:INFO:Checking exceptions
- 2022-01-17 14:22:26,207:INFO:Importing libraries
- 2022-01-17 14:22:26,207:INFO:Copying training dataset
- 2022-01-17 14:22:26,208:INFO:Defining folds
- 2022-01-17 14:22:26,208:INFO:Declaring metric variables
- 2022-01-17 14:22:26,213:INFO:Importing untrained model
- 2022-01-17 14:22:26,218:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 14:22:26,227:INFO:Starting cross validation
- 2022-01-17 14:22:26,228:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:26,585:INFO:Calculating mean and std
- 2022-01-17 14:22:26,586:INFO:Creating metrics dataframe
- 2022-01-17 14:22:26,589:INFO:Uploading results into container
- 2022-01-17 14:22:26,590:INFO:Uploading model into container now
- 2022-01-17 14:22:26,590:INFO:create_model_container: 6
- 2022-01-17 14:22:26,590:INFO:master_model_container: 6
- 2022-01-17 14:22:26,590:INFO:display_container: 2
- 2022-01-17 14:22:26,591:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4642,
- solver='auto', tol=0.001)
- 2022-01-17 14:22:26,591:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:26,698:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:26,698:INFO:Creating metrics dataframe
- 2022-01-17 14:22:26,709:INFO:Initializing Random Forest Classifier
- 2022-01-17 14:22:26,710:INFO:Total runtime is 0.15567574898401898 minutes
- 2022-01-17 14:22:26,715:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:26,715:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:26,715:INFO:Checking exceptions
- 2022-01-17 14:22:26,716:INFO:Importing libraries
- 2022-01-17 14:22:26,716:INFO:Copying training dataset
- 2022-01-17 14:22:26,716:INFO:Defining folds
- 2022-01-17 14:22:26,717:INFO:Declaring metric variables
- 2022-01-17 14:22:26,721:INFO:Importing untrained model
- 2022-01-17 14:22:26,726:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:22:26,736:INFO:Starting cross validation
- 2022-01-17 14:22:26,737:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:32,411:INFO:Calculating mean and std
- 2022-01-17 14:22:32,412:INFO:Creating metrics dataframe
- 2022-01-17 14:22:32,415:INFO:Uploading results into container
- 2022-01-17 14:22:32,415:INFO:Uploading model into container now
- 2022-01-17 14:22:32,415:INFO:create_model_container: 7
- 2022-01-17 14:22:32,415:INFO:master_model_container: 7
- 2022-01-17 14:22:32,416:INFO:display_container: 2
- 2022-01-17 14:22:32,416:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:32,416:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:32,488:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:32,488:INFO:Creating metrics dataframe
- 2022-01-17 14:22:32,499:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 14:22:32,500:INFO:Total runtime is 0.25217552185058595 minutes
- 2022-01-17 14:22:32,505:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:32,505:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:32,506:INFO:Checking exceptions
- 2022-01-17 14:22:32,506:INFO:Importing libraries
- 2022-01-17 14:22:32,506:INFO:Copying training dataset
- 2022-01-17 14:22:32,507:INFO:Defining folds
- 2022-01-17 14:22:32,507:INFO:Declaring metric variables
- 2022-01-17 14:22:32,511:INFO:Importing untrained model
- 2022-01-17 14:22:32,516:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 14:22:32,526:INFO:Starting cross validation
- 2022-01-17 14:22:32,527:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:32,870:INFO:Calculating mean and std
- 2022-01-17 14:22:32,871:INFO:Creating metrics dataframe
- 2022-01-17 14:22:32,877:INFO:Uploading results into container
- 2022-01-17 14:22:32,878:INFO:Uploading model into container now
- 2022-01-17 14:22:32,878:INFO:create_model_container: 8
- 2022-01-17 14:22:32,878:INFO:master_model_container: 8
- 2022-01-17 14:22:32,879:INFO:display_container: 2
- 2022-01-17 14:22:32,879:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 14:22:32,879:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:32,964:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:32,964:INFO:Creating metrics dataframe
- 2022-01-17 14:22:32,976:INFO:Initializing Ada Boost Classifier
- 2022-01-17 14:22:32,976:INFO:Total runtime is 0.2601176619529724 minutes
- 2022-01-17 14:22:32,982:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:32,982:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:32,983:INFO:Checking exceptions
- 2022-01-17 14:22:32,983:INFO:Importing libraries
- 2022-01-17 14:22:32,983:INFO:Copying training dataset
- 2022-01-17 14:22:32,984:INFO:Defining folds
- 2022-01-17 14:22:32,984:INFO:Declaring metric variables
- 2022-01-17 14:22:32,989:INFO:Importing untrained model
- 2022-01-17 14:22:32,993:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 14:22:33,004:INFO:Starting cross validation
- 2022-01-17 14:22:33,004:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:35,248:INFO:Calculating mean and std
- 2022-01-17 14:22:35,249:INFO:Creating metrics dataframe
- 2022-01-17 14:22:35,252:INFO:Uploading results into container
- 2022-01-17 14:22:35,252:INFO:Uploading model into container now
- 2022-01-17 14:22:35,252:INFO:create_model_container: 9
- 2022-01-17 14:22:35,252:INFO:master_model_container: 9
- 2022-01-17 14:22:35,252:INFO:display_container: 2
- 2022-01-17 14:22:35,253:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4642)
- 2022-01-17 14:22:35,253:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:35,323:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:35,323:INFO:Creating metrics dataframe
- 2022-01-17 14:22:35,335:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 14:22:35,335:INFO:Total runtime is 0.29943839311599735 minutes
- 2022-01-17 14:22:35,341:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:35,341:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:35,342:INFO:Checking exceptions
- 2022-01-17 14:22:35,342:INFO:Importing libraries
- 2022-01-17 14:22:35,342:INFO:Copying training dataset
- 2022-01-17 14:22:35,343:INFO:Defining folds
- 2022-01-17 14:22:35,344:INFO:Declaring metric variables
- 2022-01-17 14:22:35,349:INFO:Importing untrained model
- 2022-01-17 14:22:35,355:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 14:22:35,367:INFO:Starting cross validation
- 2022-01-17 14:22:35,368:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:41,628:INFO:Calculating mean and std
- 2022-01-17 14:22:41,629:INFO:Creating metrics dataframe
- 2022-01-17 14:22:41,632:INFO:Uploading results into container
- 2022-01-17 14:22:41,632:INFO:Uploading model into container now
- 2022-01-17 14:22:41,632:INFO:create_model_container: 10
- 2022-01-17 14:22:41,632:INFO:master_model_container: 10
- 2022-01-17 14:22:41,632:INFO:display_container: 2
- 2022-01-17 14:22:41,633:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4642, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:41,633:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:41,701:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:41,701:INFO:Creating metrics dataframe
- 2022-01-17 14:22:41,714:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 14:22:41,714:INFO:Total runtime is 0.40575410525004074 minutes
- 2022-01-17 14:22:41,720:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:41,720:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:41,720:INFO:Checking exceptions
- 2022-01-17 14:22:41,721:INFO:Importing libraries
- 2022-01-17 14:22:41,721:INFO:Copying training dataset
- 2022-01-17 14:22:41,721:INFO:Defining folds
- 2022-01-17 14:22:41,722:INFO:Declaring metric variables
- 2022-01-17 14:22:41,726:INFO:Importing untrained model
- 2022-01-17 14:22:41,731:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 14:22:41,741:INFO:Starting cross validation
- 2022-01-17 14:22:41,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:42,641:INFO:Calculating mean and std
- 2022-01-17 14:22:42,646:INFO:Creating metrics dataframe
- 2022-01-17 14:22:42,652:INFO:Uploading results into container
- 2022-01-17 14:22:42,653:INFO:Uploading model into container now
- 2022-01-17 14:22:42,653:INFO:create_model_container: 11
- 2022-01-17 14:22:42,653:INFO:master_model_container: 11
- 2022-01-17 14:22:42,653:INFO:display_container: 2
- 2022-01-17 14:22:42,653:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 14:22:42,654:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:42,749:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:42,750:INFO:Creating metrics dataframe
- 2022-01-17 14:22:42,762:INFO:Initializing Extra Trees Classifier
- 2022-01-17 14:22:42,762:INFO:Total runtime is 0.4232224543889364 minutes
- 2022-01-17 14:22:42,768:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:42,768:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:42,769:INFO:Checking exceptions
- 2022-01-17 14:22:42,769:INFO:Importing libraries
- 2022-01-17 14:22:42,769:INFO:Copying training dataset
- 2022-01-17 14:22:42,770:INFO:Defining folds
- 2022-01-17 14:22:42,770:INFO:Declaring metric variables
- 2022-01-17 14:22:42,775:INFO:Importing untrained model
- 2022-01-17 14:22:42,780:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 14:22:42,790:INFO:Starting cross validation
- 2022-01-17 14:22:42,790:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:48,528:INFO:Calculating mean and std
- 2022-01-17 14:22:48,529:INFO:Creating metrics dataframe
- 2022-01-17 14:22:48,532:INFO:Uploading results into container
- 2022-01-17 14:22:48,532:INFO:Uploading model into container now
- 2022-01-17 14:22:48,532:INFO:create_model_container: 12
- 2022-01-17 14:22:48,532:INFO:master_model_container: 12
- 2022-01-17 14:22:48,532:INFO:display_container: 2
- 2022-01-17 14:22:48,533:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4642, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:48,533:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:48,601:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:48,601:INFO:Creating metrics dataframe
- 2022-01-17 14:22:48,614:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 14:22:48,614:INFO:Total runtime is 0.5207454482714335 minutes
- 2022-01-17 14:22:48,619:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:48,619:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:48,620:INFO:Checking exceptions
- 2022-01-17 14:22:48,620:INFO:Importing libraries
- 2022-01-17 14:22:48,620:INFO:Copying training dataset
- 2022-01-17 14:22:48,621:INFO:Defining folds
- 2022-01-17 14:22:48,621:INFO:Declaring metric variables
- 2022-01-17 14:22:48,626:INFO:Importing untrained model
- 2022-01-17 14:22:48,631:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 14:22:48,642:INFO:Starting cross validation
- 2022-01-17 14:22:48,642:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:50,245:INFO:Calculating mean and std
- 2022-01-17 14:22:50,246:INFO:Creating metrics dataframe
- 2022-01-17 14:22:50,249:INFO:Uploading results into container
- 2022-01-17 14:22:50,249:INFO:Uploading model into container now
- 2022-01-17 14:22:50,250:INFO:create_model_container: 13
- 2022-01-17 14:22:50,250:INFO:master_model_container: 13
- 2022-01-17 14:22:50,250:INFO:display_container: 2
- 2022-01-17 14:22:50,250:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4642, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 14:22:50,250:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:50,314:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:50,314:INFO:Creating metrics dataframe
- 2022-01-17 14:22:50,327:INFO:Initializing Dummy Classifier
- 2022-01-17 14:22:50,327:INFO:Total runtime is 0.5493064363797506 minutes
- 2022-01-17 14:22:50,333:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:22:50,333:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:22:50,334:INFO:Checking exceptions
- 2022-01-17 14:22:50,334:INFO:Importing libraries
- 2022-01-17 14:22:50,334:INFO:Copying training dataset
- 2022-01-17 14:22:50,335:INFO:Defining folds
- 2022-01-17 14:22:50,335:INFO:Declaring metric variables
- 2022-01-17 14:22:50,339:INFO:Importing untrained model
- 2022-01-17 14:22:50,344:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 14:22:50,354:INFO:Starting cross validation
- 2022-01-17 14:22:50,355:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:22:50,416:INFO:Calculating mean and std
- 2022-01-17 14:22:50,417:INFO:Creating metrics dataframe
- 2022-01-17 14:22:50,419:INFO:Uploading results into container
- 2022-01-17 14:22:50,419:INFO:Uploading model into container now
- 2022-01-17 14:22:50,420:INFO:create_model_container: 14
- 2022-01-17 14:22:50,420:INFO:master_model_container: 14
- 2022-01-17 14:22:50,420:INFO:display_container: 2
- 2022-01-17 14:22:50,420:INFO:DummyClassifier(constant=None, random_state=4642, strategy='prior')
- 2022-01-17 14:22:50,420:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:22:50,488:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:22:50,488:INFO:Creating metrics dataframe
- 2022-01-17 14:22:50,513:INFO:Initializing create_model()
- 2022-01-17 14:22:50,514:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
- 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={})
- 2022-01-17 14:22:50,514:INFO:Checking exceptions
- 2022-01-17 14:22:50,514:INFO:Importing libraries
- 2022-01-17 14:22:50,514:INFO:Copying training dataset
- 2022-01-17 14:22:50,515:INFO:Defining folds
- 2022-01-17 14:22:50,515:INFO:Declaring metric variables
- 2022-01-17 14:22:50,515:INFO:Importing untrained model
- 2022-01-17 14:22:50,515:INFO:Declaring custom model
- 2022-01-17 14:22:50,516:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 14:22:50,516:INFO:Cross validation set to False
- 2022-01-17 14:22:50,516:INFO:Fitting Model
- 2022-01-17 14:22:50,801:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:50,801:INFO:create_models() succesfully completed......................................
- 2022-01-17 14:22:50,901:INFO:create_model_container: 14
- 2022-01-17 14:22:50,902:INFO:master_model_container: 14
- 2022-01-17 14:22:50,902:INFO:display_container: 2
- 2022-01-17 14:22:50,902:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4642, verbose=0,
- warm_start=False)
- 2022-01-17 14:22:50,902:INFO:compare_models() succesfully completed......................................
- 2022-01-17 14:23:54,486:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:23:54,487:INFO:Checking exceptions
- 2022-01-17 14:23:54,487:INFO:Preparing display monitor
- 2022-01-17 14:23:54,498:INFO:Importing libraries
- 2022-01-17 14:23:54,498:INFO:Copying training dataset
- 2022-01-17 14:23:54,499:INFO:Defining folds
- 2022-01-17 14:23:54,499:INFO:Declaring metric variables
- 2022-01-17 14:23:54,504:INFO:Importing untrained model
- 2022-01-17 14:23:54,509:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:23:54,520:INFO:Starting cross validation
- 2022-01-17 14:23:54,520:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:23:54,773:INFO:Calculating mean and std
- 2022-01-17 14:23:54,774:INFO:Creating metrics dataframe
- 2022-01-17 14:23:54,783:INFO:Finalizing model
- 2022-01-17 14:23:54,805:INFO:Uploading results into container
- 2022-01-17 14:23:54,805:INFO:Uploading model into container now
- 2022-01-17 14:23:54,814:INFO:create_model_container: 15
- 2022-01-17 14:23:54,815:INFO:master_model_container: 15
- 2022-01-17 14:23:54,815:INFO:display_container: 3
- 2022-01-17 14:23:54,815:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:23:54,815:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:23:58,352:INFO:Initializing tune_model()
- 2022-01-17 14:23:58,352:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-17 14:23:58,353:INFO:Checking exceptions
- 2022-01-17 14:23:58,353:INFO:Preparing display monitor
- 2022-01-17 14:23:58,364:INFO:Copying training dataset
- 2022-01-17 14:23:58,365:INFO:Checking base model
- 2022-01-17 14:23:58,366:INFO:Base model : Decision Tree Classifier
- 2022-01-17 14:23:58,371:INFO:Declaring metric variables
- 2022-01-17 14:23:58,376:INFO:Defining Hyperparameters
- 2022-01-17 14:23:58,454:INFO:Tuning with n_jobs=-1
- 2022-01-17 14:23:58,455:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-17 14:23:59,651:INFO:Hyperparameter search completed
- 2022-01-17 14:23:59,651:INFO:SubProcess create_model() called ==================================
- 2022-01-17 14:23:59,652:INFO:Initializing create_model()
- 2022-01-17 14:23:59,652:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-17 14:23:59,652:INFO:Checking exceptions
- 2022-01-17 14:23:59,652:INFO:Importing libraries
- 2022-01-17 14:23:59,652:INFO:Copying training dataset
- 2022-01-17 14:23:59,653:INFO:Defining folds
- 2022-01-17 14:23:59,653:INFO:Declaring metric variables
- 2022-01-17 14:23:59,659:INFO:Importing untrained model
- 2022-01-17 14:23:59,659:INFO:Declaring custom model
- 2022-01-17 14:23:59,664:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:23:59,675:INFO:Starting cross validation
- 2022-01-17 14:23:59,675:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:23:59,872:INFO:Calculating mean and std
- 2022-01-17 14:23:59,873:INFO:Creating metrics dataframe
- 2022-01-17 14:23:59,880:INFO:Finalizing model
- 2022-01-17 14:23:59,895:INFO:Uploading results into container
- 2022-01-17 14:23:59,895:INFO:Uploading model into container now
- 2022-01-17 14:23:59,895:INFO:create_model_container: 16
- 2022-01-17 14:23:59,895:INFO:master_model_container: 16
- 2022-01-17 14:23:59,896:INFO:display_container: 4
- 2022-01-17 14:23:59,896:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=16, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=10,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:23:59,896:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:23:59,964:INFO:SubProcess create_model() end ==================================
- 2022-01-17 14:23:59,973:INFO:create_model_container: 16
- 2022-01-17 14:23:59,974:INFO:master_model_container: 16
- 2022-01-17 14:23:59,974:INFO:display_container: 4
- 2022-01-17 14:23:59,974:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=16, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=10,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:23:59,974:INFO:tune_model() succesfully completed......................................
- 2022-01-17 14:24:05,989:INFO:Initializing create_model()
- 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={})
- 2022-01-17 14:24:05,990:INFO:Checking exceptions
- 2022-01-17 14:24:05,990:INFO:Preparing display monitor
- 2022-01-17 14:24:06,002:INFO:Importing libraries
- 2022-01-17 14:24:06,002:INFO:Copying training dataset
- 2022-01-17 14:24:06,003:INFO:Defining folds
- 2022-01-17 14:24:06,003:INFO:Declaring metric variables
- 2022-01-17 14:24:06,008:INFO:Importing untrained model
- 2022-01-17 14:24:06,013:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 14:24:06,023:INFO:Starting cross validation
- 2022-01-17 14:24:06,024:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 14:24:06,275:INFO:Calculating mean and std
- 2022-01-17 14:24:06,276:INFO:Creating metrics dataframe
- 2022-01-17 14:24:06,283:INFO:Finalizing model
- 2022-01-17 14:24:06,304:INFO:Uploading results into container
- 2022-01-17 14:24:06,305:INFO:Uploading model into container now
- 2022-01-17 14:24:06,315:INFO:create_model_container: 17
- 2022-01-17 14:24:06,315:INFO:master_model_container: 17
- 2022-01-17 14:24:06,315:INFO:display_container: 5
- 2022-01-17 14:24:06,315:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best')
- 2022-01-17 14:24:06,316:INFO:create_model() succesfully completed......................................
- 2022-01-17 14:24:09,698:INFO:Initializing evaluate_model()
- 2022-01-17 14:24:09,699:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 14:24:09,711:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:09,712:INFO:Checking exceptions
- 2022-01-17 14:24:09,712:INFO:Preparing display monitor
- 2022-01-17 14:24:09,717:INFO:Preloading libraries
- 2022-01-17 14:24:09,718:INFO:Copying training dataset
- 2022-01-17 14:24:09,718:INFO:Copying test dataset
- 2022-01-17 14:24:09,719:INFO:Plot type: parameter
- 2022-01-17 14:24:09,723:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:09,797:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:11,637:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:11,638:INFO:Checking exceptions
- 2022-01-17 14:24:11,638:INFO:Preparing display monitor
- 2022-01-17 14:24:11,642:INFO:Preloading libraries
- 2022-01-17 14:24:11,643:INFO:Copying training dataset
- 2022-01-17 14:24:11,644:INFO:Copying test dataset
- 2022-01-17 14:24:11,644:INFO:Plot type: auc
- 2022-01-17 14:24:11,645:INFO:Initializing get_config()
- 2022-01-17 14:24:11,645:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:24:11,648:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:24:11,648:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:24:11,649:INFO:Fitting Model
- 2022-01-17 14:24:11,651:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:11,757:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:11,827:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:13,482:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:24:13,483:INFO:Checking exceptions
- 2022-01-17 14:24:13,484:INFO:Preparing display monitor
- 2022-01-17 14:24:13,487:INFO:Preloading libraries
- 2022-01-17 14:24:13,488:INFO:Copying training dataset
- 2022-01-17 14:24:13,489:INFO:Copying test dataset
- 2022-01-17 14:24:13,489:INFO:Plot type: confusion_matrix
- 2022-01-17 14:24:13,490:INFO:Initializing get_config()
- 2022-01-17 14:24:13,490:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:24:13,493:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:24:13,493:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:24:13,494:INFO:Fitting Model
- 2022-01-17 14:24:13,495:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:13,566:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:13,637:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:20,670:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:20,670:INFO:Checking exceptions
- 2022-01-17 14:24:20,671:INFO:Preparing display monitor
- 2022-01-17 14:24:20,675:INFO:Preloading libraries
- 2022-01-17 14:24:20,676:INFO:Copying training dataset
- 2022-01-17 14:24:20,676:INFO:Copying test dataset
- 2022-01-17 14:24:20,676:INFO:Plot type: threshold
- 2022-01-17 14:24:20,678:INFO:Fitting Model
- 2022-01-17 14:24:21,766:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:21,929:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:21,996:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:24,082:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:24,082:INFO:Checking exceptions
- 2022-01-17 14:24:24,083:INFO:Preparing display monitor
- 2022-01-17 14:24:24,087:INFO:Preloading libraries
- 2022-01-17 14:24:24,087:INFO:Copying training dataset
- 2022-01-17 14:24:24,088:INFO:Copying test dataset
- 2022-01-17 14:24:24,088:INFO:Plot type: pr
- 2022-01-17 14:24:24,089:INFO:Fitting Model
- 2022-01-17 14:24:24,090:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:24,183:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:24,248:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:31,421:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:24:31,422:INFO:Checking exceptions
- 2022-01-17 14:24:31,423:INFO:Preparing display monitor
- 2022-01-17 14:24:31,427:INFO:Preloading libraries
- 2022-01-17 14:24:31,428:INFO:Copying training dataset
- 2022-01-17 14:24:31,428:INFO:Copying test dataset
- 2022-01-17 14:24:31,429:INFO:Plot type: error
- 2022-01-17 14:24:31,430:INFO:Initializing get_config()
- 2022-01-17 14:24:31,430:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:24:31,433:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:24:31,433:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:24:31,434:INFO:Fitting Model
- 2022-01-17 14:24:31,435:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:31,520:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:31,593:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:24:37,681:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:24:37,682:INFO:Checking exceptions
- 2022-01-17 14:24:37,682:INFO:Preparing display monitor
- 2022-01-17 14:24:37,686:INFO:Preloading libraries
- 2022-01-17 14:24:37,687:INFO:Copying training dataset
- 2022-01-17 14:24:37,687:INFO:Copying test dataset
- 2022-01-17 14:24:37,688:INFO:Plot type: class_report
- 2022-01-17 14:24:37,688:INFO:Initializing get_config()
- 2022-01-17 14:24:37,689:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:24:37,692:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:24:37,692:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:24:37,692:INFO:Fitting Model
- 2022-01-17 14:24:37,693:INFO:Scoring test/hold-out set
- 2022-01-17 14:24:37,806:INFO:Visual Rendered Successfully
- 2022-01-17 14:24:37,875:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:25:49,619:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=learning, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:25:49,619:INFO:Checking exceptions
- 2022-01-17 14:25:49,620:INFO:Preparing display monitor
- 2022-01-17 14:25:49,624:INFO:Preloading libraries
- 2022-01-17 14:25:49,625:INFO:Copying training dataset
- 2022-01-17 14:25:49,625:INFO:Copying test dataset
- 2022-01-17 14:25:49,626:INFO:Plot type: learning
- 2022-01-17 14:25:49,628:INFO:Fitting Model
- 2022-01-17 14:25:51,324:INFO:Visual Rendered Successfully
- 2022-01-17 14:25:51,399:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:06,504:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:06,504:INFO:Checking exceptions
- 2022-01-17 14:26:06,505:INFO:Preparing display monitor
- 2022-01-17 14:26:06,509:INFO:Preloading libraries
- 2022-01-17 14:26:06,509:INFO:Copying training dataset
- 2022-01-17 14:26:06,510:INFO:Copying test dataset
- 2022-01-17 14:26:06,511:INFO:Plot type: feature
- 2022-01-17 14:26:06,511:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:26:06,589:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:06,663:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:08,431:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:26:08,432:INFO:Checking exceptions
- 2022-01-17 14:26:08,432:INFO:Preparing display monitor
- 2022-01-17 14:26:08,436:INFO:Preloading libraries
- 2022-01-17 14:26:08,437:INFO:Copying training dataset
- 2022-01-17 14:26:08,437:INFO:Copying test dataset
- 2022-01-17 14:26:08,438:INFO:Plot type: feature_all
- 2022-01-17 14:26:08,438:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:26:08,609:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:08,687:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:39,249:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:39,250:INFO:Checking exceptions
- 2022-01-17 14:26:39,250:INFO:Preparing display monitor
- 2022-01-17 14:26:39,254:INFO:Preloading libraries
- 2022-01-17 14:26:39,255:INFO:Copying training dataset
- 2022-01-17 14:26:39,256:INFO:Copying test dataset
- 2022-01-17 14:26:39,256:INFO:Plot type: boundary
- 2022-01-17 14:26:39,259:INFO:Fitting StandardScaler()
- 2022-01-17 14:26:39,268:INFO:Fitting PCA()
- 2022-01-17 14:26:39,349:INFO:Initializing get_config()
- 2022-01-17 14:26:39,350:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:26:39,355:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:26:39,360:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:26:39,361:INFO:Fitting Model
- 2022-01-17 14:26:40,158:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:40,263:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:43,961:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=lift, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:43,961:INFO:Checking exceptions
- 2022-01-17 14:26:43,962:INFO:Preparing display monitor
- 2022-01-17 14:26:43,966:INFO:Preloading libraries
- 2022-01-17 14:26:43,967:INFO:Copying training dataset
- 2022-01-17 14:26:43,968:INFO:Copying test dataset
- 2022-01-17 14:26:43,968:INFO:Plot type: lift
- 2022-01-17 14:26:43,969:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 14:26:44,060:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:44,134:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:50,029:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:50,030:INFO:Checking exceptions
- 2022-01-17 14:26:50,030:INFO:Preparing display monitor
- 2022-01-17 14:26:50,034:INFO:Preloading libraries
- 2022-01-17 14:26:50,035:INFO:Copying training dataset
- 2022-01-17 14:26:50,035:INFO:Copying test dataset
- 2022-01-17 14:26:50,036:INFO:Plot type: ks
- 2022-01-17 14:26:50,037:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 14:26:50,141:INFO:Visual Rendered Successfully
- 2022-01-17 14:26:50,216:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:26:54,074:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:26:54,075:INFO:Checking exceptions
- 2022-01-17 14:26:54,076:INFO:Preparing display monitor
- 2022-01-17 14:26:54,079:INFO:Preloading libraries
- 2022-01-17 14:26:54,080:INFO:Copying training dataset
- 2022-01-17 14:26:54,081:INFO:Copying test dataset
- 2022-01-17 14:26:54,081:INFO:Plot type: tree
- 2022-01-17 14:26:54,091:INFO:Plotting decision trees
- 2022-01-17 14:26:54,092:INFO:Plotting tree 0
- 2022-01-17 14:27:09,443:INFO:Visual Rendered Successfully
- 2022-01-17 14:27:09,530:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:27:09,544:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:27:09,544:INFO:Checking exceptions
- 2022-01-17 14:27:09,545:INFO:Preparing display monitor
- 2022-01-17 14:27:09,549:INFO:Preloading libraries
- 2022-01-17 14:27:09,550:INFO:Copying training dataset
- 2022-01-17 14:27:09,550:INFO:Copying test dataset
- 2022-01-17 14:27:09,550:INFO:Plot type: boundary
- 2022-01-17 14:27:09,553:INFO:Fitting StandardScaler()
- 2022-01-17 14:27:09,561:INFO:Fitting PCA()
- 2022-01-17 14:27:09,602:INFO:Initializing get_config()
- 2022-01-17 14:27:09,602:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:27:09,607:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:27:09,607:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:27:09,608:INFO:Fitting Model
- 2022-01-17 14:27:10,407:INFO:Visual Rendered Successfully
- 2022-01-17 14:27:10,518:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:27:11,486:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:27:11,486:INFO:Checking exceptions
- 2022-01-17 14:27:11,487:INFO:Preparing display monitor
- 2022-01-17 14:27:11,491:INFO:Preloading libraries
- 2022-01-17 14:27:11,491:INFO:Copying training dataset
- 2022-01-17 14:27:11,492:INFO:Copying test dataset
- 2022-01-17 14:27:11,492:INFO:Plot type: tree
- 2022-01-17 14:27:11,503:INFO:Plotting decision trees
- 2022-01-17 14:27:11,503:INFO:Plotting tree 0
- 2022-01-17 14:27:26,819:INFO:Visual Rendered Successfully
- 2022-01-17 14:27:26,898:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:39:43,027:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:39:43,027:INFO:Checking exceptions
- 2022-01-17 14:39:43,028:INFO:Preparing display monitor
- 2022-01-17 14:39:43,032:INFO:Preloading libraries
- 2022-01-17 14:39:43,033:INFO:Copying training dataset
- 2022-01-17 14:39:43,034:INFO:Copying test dataset
- 2022-01-17 14:39:43,034:INFO:Plot type: confusion_matrix
- 2022-01-17 14:39:43,035:INFO:Initializing get_config()
- 2022-01-17 14:39:43,035:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:39:43,038:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:39:43,038:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:39:43,039:INFO:Fitting Model
- 2022-01-17 14:39:43,040:INFO:Scoring test/hold-out set
- 2022-01-17 14:39:43,111:INFO:Visual Rendered Successfully
- 2022-01-17 14:39:43,193:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:42:54,885:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 14:42:54,886:INFO:Checking exceptions
- 2022-01-17 14:42:54,887:INFO:Preparing display monitor
- 2022-01-17 14:42:54,890:INFO:Preloading libraries
- 2022-01-17 14:42:54,891:INFO:Copying training dataset
- 2022-01-17 14:42:54,892:INFO:Copying test dataset
- 2022-01-17 14:42:54,892:INFO:Plot type: class_report
- 2022-01-17 14:42:54,893:INFO:Initializing get_config()
- 2022-01-17 14:42:54,893:INFO:get_config(variable=prep_pipe)
- 2022-01-17 14:42:54,896:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 14:42:54,896:INFO:get_config() succesfully completed......................................
- 2022-01-17 14:42:54,897:INFO:Fitting Model
- 2022-01-17 14:42:54,897:INFO:Scoring test/hold-out set
- 2022-01-17 14:42:55,006:INFO:Visual Rendered Successfully
- 2022-01-17 14:42:55,073:INFO:plot_model() succesfully completed......................................
- 2022-01-17 14:52:11,844:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 14:52:11,844:INFO:Checking exceptions
- 2022-01-17 14:52:11,845:INFO:Preparing display monitor
- 2022-01-17 14:52:11,849:INFO:Preloading libraries
- 2022-01-17 14:52:11,850:INFO:Copying training dataset
- 2022-01-17 14:52:11,851:INFO:Copying test dataset
- 2022-01-17 14:52:11,851:INFO:Plot type: feature
- 2022-01-17 14:52:11,852:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 14:52:11,925:INFO:Visual Rendered Successfully
- 2022-01-17 14:52:12,001:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:25:30,496:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:25:30,496:INFO:Checking exceptions
- 2022-01-17 15:25:30,497:INFO:Preparing display monitor
- 2022-01-17 15:25:30,501:INFO:Preloading libraries
- 2022-01-17 15:25:30,502:INFO:Copying training dataset
- 2022-01-17 15:25:30,502:INFO:Copying test dataset
- 2022-01-17 15:25:30,502:INFO:Plot type: parameter
- 2022-01-17 15:25:30,506:INFO:Visual Rendered Successfully
- 2022-01-17 15:25:30,583:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:25:38,490:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:25:38,491:INFO:Checking exceptions
- 2022-01-17 15:25:38,492:INFO:Preparing display monitor
- 2022-01-17 15:25:38,495:INFO:Preloading libraries
- 2022-01-17 15:25:38,496:INFO:Copying training dataset
- 2022-01-17 15:25:38,497:INFO:Copying test dataset
- 2022-01-17 15:25:38,497:INFO:Plot type: feature
- 2022-01-17 15:25:38,498:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 15:25:38,574:INFO:Visual Rendered Successfully
- 2022-01-17 15:25:38,652:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:25:42,961:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 15:25:42,962:INFO:Checking exceptions
- 2022-01-17 15:25:42,963:INFO:Preparing display monitor
- 2022-01-17 15:25:42,966:INFO:Preloading libraries
- 2022-01-17 15:25:42,967:INFO:Copying training dataset
- 2022-01-17 15:25:42,967:INFO:Copying test dataset
- 2022-01-17 15:25:42,968:INFO:Plot type: feature_all
- 2022-01-17 15:25:42,969:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 15:25:43,129:INFO:Visual Rendered Successfully
- 2022-01-17 15:25:43,205:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:34:27,571:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 15:34:27,572:INFO:Checking exceptions
- 2022-01-17 15:34:27,572:INFO:Preparing display monitor
- 2022-01-17 15:34:27,576:INFO:Preloading libraries
- 2022-01-17 15:34:27,577:INFO:Copying training dataset
- 2022-01-17 15:34:27,577:INFO:Copying test dataset
- 2022-01-17 15:34:27,578:INFO:Plot type: confusion_matrix
- 2022-01-17 15:34:27,578:INFO:Initializing get_config()
- 2022-01-17 15:34:27,579:INFO:get_config(variable=prep_pipe)
- 2022-01-17 15:34:27,581:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 15:34:27,582:INFO:get_config() succesfully completed......................................
- 2022-01-17 15:34:27,582:INFO:Fitting Model
- 2022-01-17 15:34:27,583:INFO:Scoring test/hold-out set
- 2022-01-17 15:34:27,648:INFO:Visual Rendered Successfully
- 2022-01-17 15:34:27,724:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:34:53,720:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:34:53,720:INFO:Checking exceptions
- 2022-01-17 15:34:53,721:INFO:Preparing display monitor
- 2022-01-17 15:34:53,724:INFO:Preloading libraries
- 2022-01-17 15:34:53,725:INFO:Copying training dataset
- 2022-01-17 15:34:53,726:INFO:Copying test dataset
- 2022-01-17 15:34:53,726:INFO:Plot type: pr
- 2022-01-17 15:34:53,727:INFO:Fitting Model
- 2022-01-17 15:34:53,728:INFO:Scoring test/hold-out set
- 2022-01-17 15:34:53,808:INFO:Visual Rendered Successfully
- 2022-01-17 15:34:53,880:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:34:57,619:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:34:57,619:INFO:Checking exceptions
- 2022-01-17 15:34:57,620:INFO:Preparing display monitor
- 2022-01-17 15:34:57,624:INFO:Preloading libraries
- 2022-01-17 15:34:57,625:INFO:Copying training dataset
- 2022-01-17 15:34:57,626:INFO:Copying test dataset
- 2022-01-17 15:34:57,626:INFO:Plot type: auc
- 2022-01-17 15:34:57,627:INFO:Initializing get_config()
- 2022-01-17 15:34:57,627:INFO:get_config(variable=prep_pipe)
- 2022-01-17 15:34:57,630:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 15:34:57,630:INFO:get_config() succesfully completed......................................
- 2022-01-17 15:34:57,631:INFO:Fitting Model
- 2022-01-17 15:34:57,632:INFO:Scoring test/hold-out set
- 2022-01-17 15:34:57,724:INFO:Visual Rendered Successfully
- 2022-01-17 15:34:57,795:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:35:41,997:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:35:41,997:INFO:Checking exceptions
- 2022-01-17 15:35:41,998:INFO:Preparing display monitor
- 2022-01-17 15:35:42,001:INFO:Preloading libraries
- 2022-01-17 15:35:42,002:INFO:Copying training dataset
- 2022-01-17 15:35:42,003:INFO:Copying test dataset
- 2022-01-17 15:35:42,003:INFO:Plot type: feature
- 2022-01-17 15:35:42,004:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 15:35:42,081:INFO:Visual Rendered Successfully
- 2022-01-17 15:35:42,156:INFO:plot_model() succesfully completed......................................
- 2022-01-17 15:36:22,164:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4642, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 15:36:22,164:INFO:Checking exceptions
- 2022-01-17 15:36:22,165:INFO:Preparing display monitor
- 2022-01-17 15:36:22,169:INFO:Preloading libraries
- 2022-01-17 15:36:22,170:INFO:Copying training dataset
- 2022-01-17 15:36:22,171:INFO:Copying test dataset
- 2022-01-17 15:36:22,171:INFO:Plot type: tree
- 2022-01-17 15:36:22,181:INFO:Plotting decision trees
- 2022-01-17 15:36:22,181:INFO:Plotting tree 0
- 2022-01-17 15:36:37,267:INFO:Visual Rendered Successfully
- 2022-01-17 15:36:37,358:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:05:47,165:INFO:PyCaret Supervised Module
- 2022-01-17 16:05:47,165:INFO:ML Usecase: classification
- 2022-01-17 16:05:47,165:INFO:version 2.3.6
- 2022-01-17 16:05:47,165:INFO:Initializing setup()
- 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)
- 2022-01-17 16:05:47,165:INFO:Checking environment
- 2022-01-17 16:05:47,166:INFO:python_version: 3.8.8
- 2022-01-17 16:05:47,166:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 16:05:47,166:INFO:machine: x86_64
- 2022-01-17 16:05:47,166:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 16:05:47,167:INFO:Physical Core: 16
- 2022-01-17 16:05:47,167:INFO:Logical Core: 32
- 2022-01-17 16:05:47,167:INFO:Checking libraries
- 2022-01-17 16:05:47,167:INFO:pd==1.2.4
- 2022-01-17 16:05:47,167:INFO:numpy==1.19.5
- 2022-01-17 16:05:47,168:INFO:sklearn==0.23.2
- 2022-01-17 16:05:47,168:INFO:lightgbm==3.3.2
- 2022-01-17 16:05:47,168:WARNING:catboost not found
- 2022-01-17 16:05:47,169:WARNING:xgboost not found
- 2022-01-17 16:05:47,287:INFO:mlflow==1.22.0
- 2022-01-17 16:05:47,288:INFO:Checking Exceptions
- 2022-01-17 16:05:47,288:INFO:Declaring global variables
- 2022-01-17 16:05:47,289:INFO:USI: 95c8
- 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'}
- 2022-01-17 16:05:47,289:INFO:Preparing display monitor
- 2022-01-17 16:05:47,289:INFO:Preparing display monitor
- 2022-01-17 16:05:47,298:INFO:Importing libraries
- 2022-01-17 16:05:47,299:INFO:Copying data for preprocessing
- 2022-01-17 16:05:47,304:INFO:Declaring preprocessing parameters
- 2022-01-17 16:05:47,304:WARNING:cuML not found
- 2022-01-17 16:05:47,305:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 16:05:47,307:INFO:Creating preprocessing pipeline
- 2022-01-17 16:05:47,333:INFO:Preprocessing pipeline created successfully
- 2022-01-17 16:05:47,334:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 16:05:47,334:INFO:Creating global containers
- 2022-01-17 16:05:47,334:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 16:06:03,093:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:06:03,120:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:06:03,121:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:06:03,122:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:06:03,137:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:06:03,140:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:06:03,142:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:06:03,147:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:06:03,148:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:06:03,177:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:06:03,177:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:06:03,178:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:06:03,192:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:06:03,195:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:06:03,196:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:06:03,200:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:06:03,201:INFO:Creating grid variables
- 2022-01-17 16:06:03,212:INFO:create_model_container: 0
- 2022-01-17 16:06:03,213:INFO:master_model_container: 0
- 2022-01-17 16:06:03,213:INFO:display_container: 1
- 2022-01-17 16:06:03,216:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:06:03,216:INFO:setup() succesfully completed......................................
- 2022-01-17 16:06:14,364:INFO:Initializing compare_models()
- 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)
- 2022-01-17 16:06:14,364:INFO:Checking exceptions
- 2022-01-17 16:06:14,365:INFO:Preparing display monitor
- 2022-01-17 16:06:14,366:INFO:Preparing display monitor
- 2022-01-17 16:06:14,382:INFO:Initializing Logistic Regression
- 2022-01-17 16:06:14,383:INFO:Total runtime is 5.551179250081381e-06 minutes
- 2022-01-17 16:06:14,388:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:14,388:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:14,388:INFO:Checking exceptions
- 2022-01-17 16:06:14,389:INFO:Importing libraries
- 2022-01-17 16:06:14,389:INFO:Copying training dataset
- 2022-01-17 16:06:14,390:INFO:Defining folds
- 2022-01-17 16:06:14,390:INFO:Declaring metric variables
- 2022-01-17 16:06:14,395:INFO:Importing untrained model
- 2022-01-17 16:06:14,400:INFO:Logistic Regression Imported succesfully
- 2022-01-17 16:06:14,410:INFO:Starting cross validation
- 2022-01-17 16:06:14,411:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:19,206:INFO:Calculating mean and std
- 2022-01-17 16:06:19,210:INFO:Creating metrics dataframe
- 2022-01-17 16:06:19,217:INFO:Uploading results into container
- 2022-01-17 16:06:19,217:INFO:Uploading model into container now
- 2022-01-17 16:06:19,218:INFO:create_model_container: 1
- 2022-01-17 16:06:19,218:INFO:master_model_container: 1
- 2022-01-17 16:06:19,218:INFO:display_container: 2
- 2022-01-17 16:06:19,219:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=2572, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 16:06:19,219:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:19,300:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:19,300:INFO:Creating metrics dataframe
- 2022-01-17 16:06:19,309:INFO:Initializing K Neighbors Classifier
- 2022-01-17 16:06:19,309:INFO:Total runtime is 0.08211646477381389 minutes
- 2022-01-17 16:06:19,314:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:19,315:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:19,315:INFO:Checking exceptions
- 2022-01-17 16:06:19,315:INFO:Importing libraries
- 2022-01-17 16:06:19,315:INFO:Copying training dataset
- 2022-01-17 16:06:19,316:INFO:Defining folds
- 2022-01-17 16:06:19,317:INFO:Declaring metric variables
- 2022-01-17 16:06:19,321:INFO:Importing untrained model
- 2022-01-17 16:06:19,326:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 16:06:19,336:INFO:Starting cross validation
- 2022-01-17 16:06:19,337:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:28,500:INFO:Calculating mean and std
- 2022-01-17 16:06:28,501:INFO:Creating metrics dataframe
- 2022-01-17 16:06:28,504:INFO:Uploading results into container
- 2022-01-17 16:06:28,505:INFO:Uploading model into container now
- 2022-01-17 16:06:28,505:INFO:create_model_container: 2
- 2022-01-17 16:06:28,505:INFO:master_model_container: 2
- 2022-01-17 16:06:28,505:INFO:display_container: 2
- 2022-01-17 16:06:28,505:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 16:06:28,505:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:28,583:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:28,584:INFO:Creating metrics dataframe
- 2022-01-17 16:06:28,595:INFO:Initializing Naive Bayes
- 2022-01-17 16:06:28,595:INFO:Total runtime is 0.23687418699264529 minutes
- 2022-01-17 16:06:28,600:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:28,600:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:28,601:INFO:Checking exceptions
- 2022-01-17 16:06:28,601:INFO:Importing libraries
- 2022-01-17 16:06:28,601:INFO:Copying training dataset
- 2022-01-17 16:06:28,602:INFO:Defining folds
- 2022-01-17 16:06:28,602:INFO:Declaring metric variables
- 2022-01-17 16:06:28,607:INFO:Importing untrained model
- 2022-01-17 16:06:28,612:INFO:Naive Bayes Imported succesfully
- 2022-01-17 16:06:28,622:INFO:Starting cross validation
- 2022-01-17 16:06:28,622:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:28,788:INFO:Calculating mean and std
- 2022-01-17 16:06:28,789:INFO:Creating metrics dataframe
- 2022-01-17 16:06:28,791:INFO:Uploading results into container
- 2022-01-17 16:06:28,792:INFO:Uploading model into container now
- 2022-01-17 16:06:28,792:INFO:create_model_container: 3
- 2022-01-17 16:06:28,792:INFO:master_model_container: 3
- 2022-01-17 16:06:28,792:INFO:display_container: 2
- 2022-01-17 16:06:28,792:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 16:06:28,793:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:28,860:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:28,860:INFO:Creating metrics dataframe
- 2022-01-17 16:06:28,871:INFO:Initializing Decision Tree Classifier
- 2022-01-17 16:06:28,872:INFO:Total runtime is 0.241489048798879 minutes
- 2022-01-17 16:06:28,877:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:28,878:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:28,878:INFO:Checking exceptions
- 2022-01-17 16:06:28,878:INFO:Importing libraries
- 2022-01-17 16:06:28,878:INFO:Copying training dataset
- 2022-01-17 16:06:28,879:INFO:Defining folds
- 2022-01-17 16:06:28,879:INFO:Declaring metric variables
- 2022-01-17 16:06:28,884:INFO:Importing untrained model
- 2022-01-17 16:06:28,889:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:06:28,899:INFO:Starting cross validation
- 2022-01-17 16:06:28,900:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:29,472:INFO:Calculating mean and std
- 2022-01-17 16:06:29,473:INFO:Creating metrics dataframe
- 2022-01-17 16:06:29,476:INFO:Uploading results into container
- 2022-01-17 16:06:29,476:INFO:Uploading model into container now
- 2022-01-17 16:06:29,476:INFO:create_model_container: 4
- 2022-01-17 16:06:29,476:INFO:master_model_container: 4
- 2022-01-17 16:06:29,477:INFO:display_container: 2
- 2022-01-17 16:06:29,477:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best')
- 2022-01-17 16:06:29,477:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:29,543:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:29,543:INFO:Creating metrics dataframe
- 2022-01-17 16:06:29,555:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 16:06:29,555:INFO:Total runtime is 0.25287699699401855 minutes
- 2022-01-17 16:06:29,560:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:29,561:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:29,561:INFO:Checking exceptions
- 2022-01-17 16:06:29,561:INFO:Importing libraries
- 2022-01-17 16:06:29,562:INFO:Copying training dataset
- 2022-01-17 16:06:29,563:INFO:Defining folds
- 2022-01-17 16:06:29,563:INFO:Declaring metric variables
- 2022-01-17 16:06:29,567:INFO:Importing untrained model
- 2022-01-17 16:06:29,572:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 16:06:29,582:INFO:Starting cross validation
- 2022-01-17 16:06:29,583:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:30,453:INFO:Calculating mean and std
- 2022-01-17 16:06:30,455:INFO:Creating metrics dataframe
- 2022-01-17 16:06:30,458:INFO:Uploading results into container
- 2022-01-17 16:06:30,459:INFO:Uploading model into container now
- 2022-01-17 16:06:30,459:INFO:create_model_container: 5
- 2022-01-17 16:06:30,459:INFO:master_model_container: 5
- 2022-01-17 16:06:30,460:INFO:display_container: 2
- 2022-01-17 16:06:30,466:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=2572, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 16:06:30,466:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:30,549:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:30,550:INFO:Creating metrics dataframe
- 2022-01-17 16:06:30,562:INFO:Initializing Ridge Classifier
- 2022-01-17 16:06:30,562:INFO:Total runtime is 0.26966045300165814 minutes
- 2022-01-17 16:06:30,567:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:30,567:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:30,568:INFO:Checking exceptions
- 2022-01-17 16:06:30,568:INFO:Importing libraries
- 2022-01-17 16:06:30,568:INFO:Copying training dataset
- 2022-01-17 16:06:30,569:INFO:Defining folds
- 2022-01-17 16:06:30,569:INFO:Declaring metric variables
- 2022-01-17 16:06:30,574:INFO:Importing untrained model
- 2022-01-17 16:06:30,578:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 16:06:30,589:INFO:Starting cross validation
- 2022-01-17 16:06:30,589:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:30,942:INFO:Calculating mean and std
- 2022-01-17 16:06:30,943:INFO:Creating metrics dataframe
- 2022-01-17 16:06:30,947:INFO:Uploading results into container
- 2022-01-17 16:06:30,947:INFO:Uploading model into container now
- 2022-01-17 16:06:30,947:INFO:create_model_container: 6
- 2022-01-17 16:06:30,947:INFO:master_model_container: 6
- 2022-01-17 16:06:30,948:INFO:display_container: 2
- 2022-01-17 16:06:30,948:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=2572,
- solver='auto', tol=0.001)
- 2022-01-17 16:06:30,948:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:31,054:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:31,054:INFO:Creating metrics dataframe
- 2022-01-17 16:06:31,066:INFO:Initializing Random Forest Classifier
- 2022-01-17 16:06:31,067:INFO:Total runtime is 0.27807333072026574 minutes
- 2022-01-17 16:06:31,072:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:31,072:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:31,073:INFO:Checking exceptions
- 2022-01-17 16:06:31,073:INFO:Importing libraries
- 2022-01-17 16:06:31,073:INFO:Copying training dataset
- 2022-01-17 16:06:31,074:INFO:Defining folds
- 2022-01-17 16:06:31,074:INFO:Declaring metric variables
- 2022-01-17 16:06:31,079:INFO:Importing untrained model
- 2022-01-17 16:06:31,084:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:06:31,094:INFO:Starting cross validation
- 2022-01-17 16:06:31,094:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:37,143:INFO:Calculating mean and std
- 2022-01-17 16:06:37,144:INFO:Creating metrics dataframe
- 2022-01-17 16:06:37,147:INFO:Uploading results into container
- 2022-01-17 16:06:37,147:INFO:Uploading model into container now
- 2022-01-17 16:06:37,147:INFO:create_model_container: 7
- 2022-01-17 16:06:37,147:INFO:master_model_container: 7
- 2022-01-17 16:06:37,147:INFO:display_container: 2
- 2022-01-17 16:06:37,148:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
- warm_start=False)
- 2022-01-17 16:06:37,148:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:37,216:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:37,217:INFO:Creating metrics dataframe
- 2022-01-17 16:06:37,228:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 16:06:37,229:INFO:Total runtime is 0.3807707866032919 minutes
- 2022-01-17 16:06:37,234:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:37,235:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:37,235:INFO:Checking exceptions
- 2022-01-17 16:06:37,235:INFO:Importing libraries
- 2022-01-17 16:06:37,235:INFO:Copying training dataset
- 2022-01-17 16:06:37,236:INFO:Defining folds
- 2022-01-17 16:06:37,236:INFO:Declaring metric variables
- 2022-01-17 16:06:37,241:INFO:Importing untrained model
- 2022-01-17 16:06:37,246:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 16:06:37,256:INFO:Starting cross validation
- 2022-01-17 16:06:37,257:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:37,770:INFO:Calculating mean and std
- 2022-01-17 16:06:37,771:INFO:Creating metrics dataframe
- 2022-01-17 16:06:37,778:INFO:Uploading results into container
- 2022-01-17 16:06:37,778:INFO:Uploading model into container now
- 2022-01-17 16:06:37,780:INFO:create_model_container: 8
- 2022-01-17 16:06:37,781:INFO:master_model_container: 8
- 2022-01-17 16:06:37,781:INFO:display_container: 2
- 2022-01-17 16:06:37,782:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 16:06:37,782:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:37,865:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:37,865:INFO:Creating metrics dataframe
- 2022-01-17 16:06:37,877:INFO:Initializing Ada Boost Classifier
- 2022-01-17 16:06:37,878:INFO:Total runtime is 0.39158812761306766 minutes
- 2022-01-17 16:06:37,883:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:37,884:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:37,884:INFO:Checking exceptions
- 2022-01-17 16:06:37,884:INFO:Importing libraries
- 2022-01-17 16:06:37,885:INFO:Copying training dataset
- 2022-01-17 16:06:37,886:INFO:Defining folds
- 2022-01-17 16:06:37,886:INFO:Declaring metric variables
- 2022-01-17 16:06:37,891:INFO:Importing untrained model
- 2022-01-17 16:06:37,897:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 16:06:37,909:INFO:Starting cross validation
- 2022-01-17 16:06:37,910:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:42,135:INFO:Calculating mean and std
- 2022-01-17 16:06:42,136:INFO:Creating metrics dataframe
- 2022-01-17 16:06:42,139:INFO:Uploading results into container
- 2022-01-17 16:06:42,139:INFO:Uploading model into container now
- 2022-01-17 16:06:42,139:INFO:create_model_container: 9
- 2022-01-17 16:06:42,139:INFO:master_model_container: 9
- 2022-01-17 16:06:42,139:INFO:display_container: 2
- 2022-01-17 16:06:42,140:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=2572)
- 2022-01-17 16:06:42,140:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:42,215:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:42,215:INFO:Creating metrics dataframe
- 2022-01-17 16:06:42,228:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 16:06:42,228:INFO:Total runtime is 0.4641005595525106 minutes
- 2022-01-17 16:06:42,234:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:42,234:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:42,234:INFO:Checking exceptions
- 2022-01-17 16:06:42,234:INFO:Importing libraries
- 2022-01-17 16:06:42,235:INFO:Copying training dataset
- 2022-01-17 16:06:42,236:INFO:Defining folds
- 2022-01-17 16:06:42,236:INFO:Declaring metric variables
- 2022-01-17 16:06:42,240:INFO:Importing untrained model
- 2022-01-17 16:06:42,246:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 16:06:42,255:INFO:Starting cross validation
- 2022-01-17 16:06:42,256:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:55,382:INFO:Calculating mean and std
- 2022-01-17 16:06:55,383:INFO:Creating metrics dataframe
- 2022-01-17 16:06:55,386:INFO:Uploading results into container
- 2022-01-17 16:06:55,386:INFO:Uploading model into container now
- 2022-01-17 16:06:55,386:INFO:create_model_container: 10
- 2022-01-17 16:06:55,386:INFO:master_model_container: 10
- 2022-01-17 16:06:55,386:INFO:display_container: 2
- 2022-01-17 16:06:55,387:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=2572, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 16:06:55,387:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:55,453:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:55,453:INFO:Creating metrics dataframe
- 2022-01-17 16:06:55,466:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 16:06:55,466:INFO:Total runtime is 0.68473326365153 minutes
- 2022-01-17 16:06:55,472:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:55,472:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:55,472:INFO:Checking exceptions
- 2022-01-17 16:06:55,473:INFO:Importing libraries
- 2022-01-17 16:06:55,473:INFO:Copying training dataset
- 2022-01-17 16:06:55,474:INFO:Defining folds
- 2022-01-17 16:06:55,474:INFO:Declaring metric variables
- 2022-01-17 16:06:55,479:INFO:Importing untrained model
- 2022-01-17 16:06:55,484:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 16:06:55,494:INFO:Starting cross validation
- 2022-01-17 16:06:55,495:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:06:56,723:INFO:Calculating mean and std
- 2022-01-17 16:06:56,727:INFO:Creating metrics dataframe
- 2022-01-17 16:06:56,732:INFO:Uploading results into container
- 2022-01-17 16:06:56,732:INFO:Uploading model into container now
- 2022-01-17 16:06:56,732:INFO:create_model_container: 11
- 2022-01-17 16:06:56,733:INFO:master_model_container: 11
- 2022-01-17 16:06:56,733:INFO:display_container: 2
- 2022-01-17 16:06:56,733:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 16:06:56,733:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:06:56,827:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:06:56,828:INFO:Creating metrics dataframe
- 2022-01-17 16:06:56,840:INFO:Initializing Extra Trees Classifier
- 2022-01-17 16:06:56,841:INFO:Total runtime is 0.7076396306355794 minutes
- 2022-01-17 16:06:56,846:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:06:56,846:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:06:56,847:INFO:Checking exceptions
- 2022-01-17 16:06:56,847:INFO:Importing libraries
- 2022-01-17 16:06:56,847:INFO:Copying training dataset
- 2022-01-17 16:06:56,848:INFO:Defining folds
- 2022-01-17 16:06:56,848:INFO:Declaring metric variables
- 2022-01-17 16:06:56,853:INFO:Importing untrained model
- 2022-01-17 16:06:56,858:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 16:06:56,868:INFO:Starting cross validation
- 2022-01-17 16:06:56,868:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:07:02,994:INFO:Calculating mean and std
- 2022-01-17 16:07:02,995:INFO:Creating metrics dataframe
- 2022-01-17 16:07:02,998:INFO:Uploading results into container
- 2022-01-17 16:07:02,998:INFO:Uploading model into container now
- 2022-01-17 16:07:02,998:INFO:create_model_container: 12
- 2022-01-17 16:07:02,998:INFO:master_model_container: 12
- 2022-01-17 16:07:02,998:INFO:display_container: 2
- 2022-01-17 16:07:02,999:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2572, verbose=0,
- warm_start=False)
- 2022-01-17 16:07:02,999:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:07:03,071:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:07:03,072:INFO:Creating metrics dataframe
- 2022-01-17 16:07:03,085:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 16:07:03,085:INFO:Total runtime is 0.8117074847221375 minutes
- 2022-01-17 16:07:03,090:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:07:03,090:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:07:03,091:INFO:Checking exceptions
- 2022-01-17 16:07:03,091:INFO:Importing libraries
- 2022-01-17 16:07:03,091:INFO:Copying training dataset
- 2022-01-17 16:07:03,092:INFO:Defining folds
- 2022-01-17 16:07:03,093:INFO:Declaring metric variables
- 2022-01-17 16:07:03,098:INFO:Importing untrained model
- 2022-01-17 16:07:03,103:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 16:07:03,113:INFO:Starting cross validation
- 2022-01-17 16:07:03,114:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:07:05,386:INFO:Calculating mean and std
- 2022-01-17 16:07:05,387:INFO:Creating metrics dataframe
- 2022-01-17 16:07:05,390:INFO:Uploading results into container
- 2022-01-17 16:07:05,390:INFO:Uploading model into container now
- 2022-01-17 16:07:05,390:INFO:create_model_container: 13
- 2022-01-17 16:07:05,390:INFO:master_model_container: 13
- 2022-01-17 16:07:05,390:INFO:display_container: 2
- 2022-01-17 16:07:05,391:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=2572, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 16:07:05,391:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:07:05,458:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:07:05,459:INFO:Creating metrics dataframe
- 2022-01-17 16:07:05,472:INFO:Initializing Dummy Classifier
- 2022-01-17 16:07:05,472:INFO:Total runtime is 0.851492468516032 minutes
- 2022-01-17 16:07:05,478:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:07:05,478:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:07:05,478:INFO:Checking exceptions
- 2022-01-17 16:07:05,478:INFO:Importing libraries
- 2022-01-17 16:07:05,479:INFO:Copying training dataset
- 2022-01-17 16:07:05,480:INFO:Defining folds
- 2022-01-17 16:07:05,480:INFO:Declaring metric variables
- 2022-01-17 16:07:05,484:INFO:Importing untrained model
- 2022-01-17 16:07:05,489:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 16:07:05,499:INFO:Starting cross validation
- 2022-01-17 16:07:05,500:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:07:05,587:INFO:Calculating mean and std
- 2022-01-17 16:07:05,587:INFO:Creating metrics dataframe
- 2022-01-17 16:07:05,590:INFO:Uploading results into container
- 2022-01-17 16:07:05,590:INFO:Uploading model into container now
- 2022-01-17 16:07:05,590:INFO:create_model_container: 14
- 2022-01-17 16:07:05,590:INFO:master_model_container: 14
- 2022-01-17 16:07:05,590:INFO:display_container: 2
- 2022-01-17 16:07:05,591:INFO:DummyClassifier(constant=None, random_state=2572, strategy='prior')
- 2022-01-17 16:07:05,591:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:07:05,656:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:07:05,656:INFO:Creating metrics dataframe
- 2022-01-17 16:07:05,683:INFO:Initializing create_model()
- 2022-01-17 16:07:05,684:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
- 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={})
- 2022-01-17 16:07:05,684:INFO:Checking exceptions
- 2022-01-17 16:07:05,684:INFO:Importing libraries
- 2022-01-17 16:07:05,684:INFO:Copying training dataset
- 2022-01-17 16:07:05,685:INFO:Defining folds
- 2022-01-17 16:07:05,685:INFO:Declaring metric variables
- 2022-01-17 16:07:05,685:INFO:Importing untrained model
- 2022-01-17 16:07:05,685:INFO:Declaring custom model
- 2022-01-17 16:07:05,686:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:07:05,686:INFO:Cross validation set to False
- 2022-01-17 16:07:05,686:INFO:Fitting Model
- 2022-01-17 16:07:06,011:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
- warm_start=False)
- 2022-01-17 16:07:06,012:INFO:create_models() succesfully completed......................................
- 2022-01-17 16:07:06,114:INFO:create_model_container: 14
- 2022-01-17 16:07:06,114:INFO:master_model_container: 14
- 2022-01-17 16:07:06,114:INFO:display_container: 2
- 2022-01-17 16:07:06,115:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2572, verbose=0,
- warm_start=False)
- 2022-01-17 16:07:06,115:INFO:compare_models() succesfully completed......................................
- 2022-01-17 16:07:30,718:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:07:30,719:INFO:Checking exceptions
- 2022-01-17 16:07:30,719:INFO:Preparing display monitor
- 2022-01-17 16:07:30,730:INFO:Importing libraries
- 2022-01-17 16:07:30,730:INFO:Copying training dataset
- 2022-01-17 16:07:30,731:INFO:Defining folds
- 2022-01-17 16:07:30,731:INFO:Declaring metric variables
- 2022-01-17 16:07:30,736:INFO:Importing untrained model
- 2022-01-17 16:07:30,741:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:07:30,752:INFO:Starting cross validation
- 2022-01-17 16:07:30,752:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:07:31,324:INFO:Calculating mean and std
- 2022-01-17 16:07:31,325:INFO:Creating metrics dataframe
- 2022-01-17 16:07:31,332:INFO:Finalizing model
- 2022-01-17 16:07:31,386:INFO:Uploading results into container
- 2022-01-17 16:07:31,386:INFO:Uploading model into container now
- 2022-01-17 16:07:31,397:INFO:create_model_container: 15
- 2022-01-17 16:07:31,397:INFO:master_model_container: 15
- 2022-01-17 16:07:31,397:INFO:display_container: 3
- 2022-01-17 16:07:31,397:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best')
- 2022-01-17 16:07:31,398:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:08:27,484:INFO:Initializing evaluate_model()
- 2022-01-17 16:08:27,484:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:08:27,496:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:08:27,497:INFO:Checking exceptions
- 2022-01-17 16:08:27,498:INFO:Preparing display monitor
- 2022-01-17 16:08:27,502:INFO:Preloading libraries
- 2022-01-17 16:08:27,503:INFO:Copying training dataset
- 2022-01-17 16:08:27,503:INFO:Copying test dataset
- 2022-01-17 16:08:27,504:INFO:Plot type: parameter
- 2022-01-17 16:08:27,508:INFO:Visual Rendered Successfully
- 2022-01-17 16:08:27,581:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:08:34,477:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:08:34,478:INFO:Checking exceptions
- 2022-01-17 16:08:34,478:INFO:Preparing display monitor
- 2022-01-17 16:08:34,482:INFO:Preloading libraries
- 2022-01-17 16:08:34,483:INFO:Copying training dataset
- 2022-01-17 16:08:34,484:INFO:Copying test dataset
- 2022-01-17 16:08:34,484:INFO:Plot type: auc
- 2022-01-17 16:08:34,485:INFO:Initializing get_config()
- 2022-01-17 16:08:34,485:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:08:34,488:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:08:34,489:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:08:34,489:INFO:Fitting Model
- 2022-01-17 16:08:34,491:INFO:Scoring test/hold-out set
- 2022-01-17 16:08:34,605:INFO:Visual Rendered Successfully
- 2022-01-17 16:08:34,676:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:08:37,545:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:08:37,546:INFO:Checking exceptions
- 2022-01-17 16:08:37,547:INFO:Preparing display monitor
- 2022-01-17 16:08:37,550:INFO:Preloading libraries
- 2022-01-17 16:08:37,551:INFO:Copying training dataset
- 2022-01-17 16:08:37,552:INFO:Copying test dataset
- 2022-01-17 16:08:37,552:INFO:Plot type: confusion_matrix
- 2022-01-17 16:08:37,553:INFO:Initializing get_config()
- 2022-01-17 16:08:37,553:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:08:37,557:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:08:37,557:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:08:37,557:INFO:Fitting Model
- 2022-01-17 16:08:37,558:INFO:Scoring test/hold-out set
- 2022-01-17 16:08:37,638:INFO:Visual Rendered Successfully
- 2022-01-17 16:08:37,708:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:09:01,636:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:09:01,637:INFO:Checking exceptions
- 2022-01-17 16:09:01,637:INFO:Preparing display monitor
- 2022-01-17 16:09:01,641:INFO:Preloading libraries
- 2022-01-17 16:09:01,642:INFO:Copying training dataset
- 2022-01-17 16:09:01,643:INFO:Copying test dataset
- 2022-01-17 16:09:01,643:INFO:Plot type: pr
- 2022-01-17 16:09:01,644:INFO:Fitting Model
- 2022-01-17 16:09:01,646:INFO:Scoring test/hold-out set
- 2022-01-17 16:09:01,732:INFO:Visual Rendered Successfully
- 2022-01-17 16:09:01,803:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:09:05,381:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2572, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:09:05,382:INFO:Checking exceptions
- 2022-01-17 16:09:05,383:INFO:Preparing display monitor
- 2022-01-17 16:09:05,386:INFO:Preloading libraries
- 2022-01-17 16:09:05,387:INFO:Copying training dataset
- 2022-01-17 16:09:05,388:INFO:Copying test dataset
- 2022-01-17 16:09:05,388:INFO:Plot type: feature
- 2022-01-17 16:09:05,389:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:09:05,470:INFO:Visual Rendered Successfully
- 2022-01-17 16:09:05,538:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:15:33,936:INFO:PyCaret Supervised Module
- 2022-01-17 16:15:33,937:INFO:ML Usecase: classification
- 2022-01-17 16:15:33,937:INFO:version 2.3.6
- 2022-01-17 16:15:33,937:INFO:Initializing setup()
- 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)
- 2022-01-17 16:15:33,937:INFO:Checking environment
- 2022-01-17 16:15:33,937:INFO:python_version: 3.8.8
- 2022-01-17 16:15:33,938:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 16:15:33,938:INFO:machine: x86_64
- 2022-01-17 16:15:33,938:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 16:15:33,939:INFO:Physical Core: 16
- 2022-01-17 16:15:33,939:INFO:Logical Core: 32
- 2022-01-17 16:15:33,939:INFO:Checking libraries
- 2022-01-17 16:15:33,939:INFO:pd==1.2.4
- 2022-01-17 16:15:33,940:INFO:numpy==1.19.5
- 2022-01-17 16:15:33,940:INFO:sklearn==0.23.2
- 2022-01-17 16:15:33,940:INFO:lightgbm==3.3.2
- 2022-01-17 16:15:33,941:WARNING:catboost not found
- 2022-01-17 16:15:33,941:WARNING:xgboost not found
- 2022-01-17 16:15:33,941:INFO:mlflow==1.22.0
- 2022-01-17 16:15:33,942:INFO:Checking Exceptions
- 2022-01-17 16:15:33,942:INFO:Declaring global variables
- 2022-01-17 16:15:33,942:INFO:USI: bd4e
- 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'}
- 2022-01-17 16:15:33,942:INFO:Preparing display monitor
- 2022-01-17 16:15:33,943:INFO:Preparing display monitor
- 2022-01-17 16:15:33,954:INFO:Importing libraries
- 2022-01-17 16:15:33,954:INFO:Copying data for preprocessing
- 2022-01-17 16:15:33,962:INFO:Declaring preprocessing parameters
- 2022-01-17 16:15:33,962:WARNING:cuML not found
- 2022-01-17 16:15:33,963:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 16:15:33,967:INFO:Creating preprocessing pipeline
- 2022-01-17 16:15:34,012:INFO:Preprocessing pipeline created successfully
- 2022-01-17 16:15:34,012:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 16:15:34,013:INFO:Creating global containers
- 2022-01-17 16:15:34,013:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 16:15:37,107:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:15:37,137:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:15:37,138:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:15:37,139:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:15:37,154:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:15:37,157:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:15:37,159:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:15:37,166:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:15:37,167:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:15:37,198:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:15:37,199:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:15:37,200:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:15:37,215:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:15:37,218:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:15:37,220:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:15:37,224:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:15:37,224:INFO:Creating grid variables
- 2022-01-17 16:15:37,237:INFO:create_model_container: 0
- 2022-01-17 16:15:37,238:INFO:master_model_container: 0
- 2022-01-17 16:15:37,238:INFO:display_container: 1
- 2022-01-17 16:15:37,241:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:15:37,241:INFO:setup() succesfully completed......................................
- 2022-01-17 16:15:52,465:INFO:Initializing compare_models()
- 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)
- 2022-01-17 16:15:52,466:INFO:Checking exceptions
- 2022-01-17 16:15:52,467:INFO:Preparing display monitor
- 2022-01-17 16:15:52,467:INFO:Preparing display monitor
- 2022-01-17 16:15:52,483:INFO:Initializing Logistic Regression
- 2022-01-17 16:15:52,484:INFO:Total runtime is 5.070368448893229e-06 minutes
- 2022-01-17 16:15:52,489:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:15:52,489:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:15:52,489:INFO:Checking exceptions
- 2022-01-17 16:15:52,490:INFO:Importing libraries
- 2022-01-17 16:15:52,490:INFO:Copying training dataset
- 2022-01-17 16:15:52,491:INFO:Defining folds
- 2022-01-17 16:15:52,491:INFO:Declaring metric variables
- 2022-01-17 16:15:52,496:INFO:Importing untrained model
- 2022-01-17 16:15:52,503:INFO:Logistic Regression Imported succesfully
- 2022-01-17 16:15:52,514:INFO:Starting cross validation
- 2022-01-17 16:15:52,515:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:01,519:INFO:Calculating mean and std
- 2022-01-17 16:16:01,520:INFO:Creating metrics dataframe
- 2022-01-17 16:16:01,527:INFO:Uploading results into container
- 2022-01-17 16:16:01,527:INFO:Uploading model into container now
- 2022-01-17 16:16:01,527:INFO:create_model_container: 1
- 2022-01-17 16:16:01,528:INFO:master_model_container: 1
- 2022-01-17 16:16:01,528:INFO:display_container: 2
- 2022-01-17 16:16:01,529:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=2932, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 16:16:01,529:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:01,610:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:01,611:INFO:Creating metrics dataframe
- 2022-01-17 16:16:01,620:INFO:Initializing K Neighbors Classifier
- 2022-01-17 16:16:01,621:INFO:Total runtime is 0.1522886912027995 minutes
- 2022-01-17 16:16:01,626:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:01,626:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:01,627:INFO:Checking exceptions
- 2022-01-17 16:16:01,627:INFO:Importing libraries
- 2022-01-17 16:16:01,627:INFO:Copying training dataset
- 2022-01-17 16:16:01,628:INFO:Defining folds
- 2022-01-17 16:16:01,628:INFO:Declaring metric variables
- 2022-01-17 16:16:01,633:INFO:Importing untrained model
- 2022-01-17 16:16:01,638:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 16:16:01,647:INFO:Starting cross validation
- 2022-01-17 16:16:01,648:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:18,763:INFO:Calculating mean and std
- 2022-01-17 16:16:18,764:INFO:Creating metrics dataframe
- 2022-01-17 16:16:18,767:INFO:Uploading results into container
- 2022-01-17 16:16:18,767:INFO:Uploading model into container now
- 2022-01-17 16:16:18,767:INFO:create_model_container: 2
- 2022-01-17 16:16:18,768:INFO:master_model_container: 2
- 2022-01-17 16:16:18,768:INFO:display_container: 2
- 2022-01-17 16:16:18,768:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 16:16:18,768:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:18,845:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:18,845:INFO:Creating metrics dataframe
- 2022-01-17 16:16:18,856:INFO:Initializing Naive Bayes
- 2022-01-17 16:16:18,856:INFO:Total runtime is 0.43954106569290163 minutes
- 2022-01-17 16:16:18,861:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:18,862:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:18,862:INFO:Checking exceptions
- 2022-01-17 16:16:18,862:INFO:Importing libraries
- 2022-01-17 16:16:18,862:INFO:Copying training dataset
- 2022-01-17 16:16:18,864:INFO:Defining folds
- 2022-01-17 16:16:18,864:INFO:Declaring metric variables
- 2022-01-17 16:16:18,869:INFO:Importing untrained model
- 2022-01-17 16:16:18,874:INFO:Naive Bayes Imported succesfully
- 2022-01-17 16:16:18,884:INFO:Starting cross validation
- 2022-01-17 16:16:18,885:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:19,117:INFO:Calculating mean and std
- 2022-01-17 16:16:19,118:INFO:Creating metrics dataframe
- 2022-01-17 16:16:19,120:INFO:Uploading results into container
- 2022-01-17 16:16:19,120:INFO:Uploading model into container now
- 2022-01-17 16:16:19,121:INFO:create_model_container: 3
- 2022-01-17 16:16:19,121:INFO:master_model_container: 3
- 2022-01-17 16:16:19,121:INFO:display_container: 2
- 2022-01-17 16:16:19,121:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 16:16:19,121:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:19,188:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:19,188:INFO:Creating metrics dataframe
- 2022-01-17 16:16:19,199:INFO:Initializing Decision Tree Classifier
- 2022-01-17 16:16:19,199:INFO:Total runtime is 0.4452617923418681 minutes
- 2022-01-17 16:16:19,204:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:19,205:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:19,205:INFO:Checking exceptions
- 2022-01-17 16:16:19,205:INFO:Importing libraries
- 2022-01-17 16:16:19,205:INFO:Copying training dataset
- 2022-01-17 16:16:19,206:INFO:Defining folds
- 2022-01-17 16:16:19,207:INFO:Declaring metric variables
- 2022-01-17 16:16:19,211:INFO:Importing untrained model
- 2022-01-17 16:16:19,216:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:16:19,226:INFO:Starting cross validation
- 2022-01-17 16:16:19,226:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:20,417:INFO:Calculating mean and std
- 2022-01-17 16:16:20,418:INFO:Creating metrics dataframe
- 2022-01-17 16:16:20,421:INFO:Uploading results into container
- 2022-01-17 16:16:20,421:INFO:Uploading model into container now
- 2022-01-17 16:16:20,421:INFO:create_model_container: 4
- 2022-01-17 16:16:20,421:INFO:master_model_container: 4
- 2022-01-17 16:16:20,421:INFO:display_container: 2
- 2022-01-17 16:16:20,422:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best')
- 2022-01-17 16:16:20,422:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:20,493:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:20,493:INFO:Creating metrics dataframe
- 2022-01-17 16:16:20,504:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 16:16:20,504:INFO:Total runtime is 0.46700976689656576 minutes
- 2022-01-17 16:16:20,509:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:20,510:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:20,510:INFO:Checking exceptions
- 2022-01-17 16:16:20,510:INFO:Importing libraries
- 2022-01-17 16:16:20,511:INFO:Copying training dataset
- 2022-01-17 16:16:20,512:INFO:Defining folds
- 2022-01-17 16:16:20,512:INFO:Declaring metric variables
- 2022-01-17 16:16:20,517:INFO:Importing untrained model
- 2022-01-17 16:16:20,522:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 16:16:20,532:INFO:Starting cross validation
- 2022-01-17 16:16:20,532:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:21,849:INFO:Calculating mean and std
- 2022-01-17 16:16:21,851:INFO:Creating metrics dataframe
- 2022-01-17 16:16:21,856:INFO:Uploading results into container
- 2022-01-17 16:16:21,858:INFO:Uploading model into container now
- 2022-01-17 16:16:21,862:INFO:create_model_container: 5
- 2022-01-17 16:16:21,864:INFO:master_model_container: 5
- 2022-01-17 16:16:21,865:INFO:display_container: 2
- 2022-01-17 16:16:21,865:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=2932, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 16:16:21,868:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:21,954:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:21,954:INFO:Creating metrics dataframe
- 2022-01-17 16:16:21,966:INFO:Initializing Ridge Classifier
- 2022-01-17 16:16:21,967:INFO:Total runtime is 0.49138774871826174 minutes
- 2022-01-17 16:16:21,972:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:21,972:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:21,972:INFO:Checking exceptions
- 2022-01-17 16:16:21,973:INFO:Importing libraries
- 2022-01-17 16:16:21,973:INFO:Copying training dataset
- 2022-01-17 16:16:21,974:INFO:Defining folds
- 2022-01-17 16:16:21,974:INFO:Declaring metric variables
- 2022-01-17 16:16:21,979:INFO:Importing untrained model
- 2022-01-17 16:16:21,984:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 16:16:21,994:INFO:Starting cross validation
- 2022-01-17 16:16:21,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:22,546:INFO:Calculating mean and std
- 2022-01-17 16:16:22,548:INFO:Creating metrics dataframe
- 2022-01-17 16:16:22,553:INFO:Uploading results into container
- 2022-01-17 16:16:22,553:INFO:Uploading model into container now
- 2022-01-17 16:16:22,555:INFO:create_model_container: 6
- 2022-01-17 16:16:22,555:INFO:master_model_container: 6
- 2022-01-17 16:16:22,556:INFO:display_container: 2
- 2022-01-17 16:16:22,558:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=2932,
- solver='auto', tol=0.001)
- 2022-01-17 16:16:22,559:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:22,650:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:22,650:INFO:Creating metrics dataframe
- 2022-01-17 16:16:22,661:INFO:Initializing Random Forest Classifier
- 2022-01-17 16:16:22,661:INFO:Total runtime is 0.5029676636060079 minutes
- 2022-01-17 16:16:22,667:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:22,667:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:22,667:INFO:Checking exceptions
- 2022-01-17 16:16:22,667:INFO:Importing libraries
- 2022-01-17 16:16:22,668:INFO:Copying training dataset
- 2022-01-17 16:16:22,669:INFO:Defining folds
- 2022-01-17 16:16:22,669:INFO:Declaring metric variables
- 2022-01-17 16:16:22,674:INFO:Importing untrained model
- 2022-01-17 16:16:22,679:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:16:22,690:INFO:Starting cross validation
- 2022-01-17 16:16:22,690:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:29,214:INFO:Calculating mean and std
- 2022-01-17 16:16:29,215:INFO:Creating metrics dataframe
- 2022-01-17 16:16:29,217:INFO:Uploading results into container
- 2022-01-17 16:16:29,218:INFO:Uploading model into container now
- 2022-01-17 16:16:29,218:INFO:create_model_container: 7
- 2022-01-17 16:16:29,218:INFO:master_model_container: 7
- 2022-01-17 16:16:29,218:INFO:display_container: 2
- 2022-01-17 16:16:29,218:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
- warm_start=False)
- 2022-01-17 16:16:29,219:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:29,294:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:29,295:INFO:Creating metrics dataframe
- 2022-01-17 16:16:29,306:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 16:16:29,306:INFO:Total runtime is 0.6137184937795003 minutes
- 2022-01-17 16:16:29,312:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:29,312:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:29,312:INFO:Checking exceptions
- 2022-01-17 16:16:29,313:INFO:Importing libraries
- 2022-01-17 16:16:29,313:INFO:Copying training dataset
- 2022-01-17 16:16:29,314:INFO:Defining folds
- 2022-01-17 16:16:29,314:INFO:Declaring metric variables
- 2022-01-17 16:16:29,319:INFO:Importing untrained model
- 2022-01-17 16:16:29,323:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 16:16:29,333:INFO:Starting cross validation
- 2022-01-17 16:16:29,334:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:30,168:INFO:Calculating mean and std
- 2022-01-17 16:16:30,170:INFO:Creating metrics dataframe
- 2022-01-17 16:16:30,177:INFO:Uploading results into container
- 2022-01-17 16:16:30,178:INFO:Uploading model into container now
- 2022-01-17 16:16:30,179:INFO:create_model_container: 8
- 2022-01-17 16:16:30,179:INFO:master_model_container: 8
- 2022-01-17 16:16:30,180:INFO:display_container: 2
- 2022-01-17 16:16:30,180:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 16:16:30,181:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:30,265:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:30,266:INFO:Creating metrics dataframe
- 2022-01-17 16:16:30,278:INFO:Initializing Ada Boost Classifier
- 2022-01-17 16:16:30,278:INFO:Total runtime is 0.6299135565757751 minutes
- 2022-01-17 16:16:30,283:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:30,284:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:30,284:INFO:Checking exceptions
- 2022-01-17 16:16:30,285:INFO:Importing libraries
- 2022-01-17 16:16:30,285:INFO:Copying training dataset
- 2022-01-17 16:16:30,286:INFO:Defining folds
- 2022-01-17 16:16:30,286:INFO:Declaring metric variables
- 2022-01-17 16:16:30,291:INFO:Importing untrained model
- 2022-01-17 16:16:30,296:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 16:16:30,306:INFO:Starting cross validation
- 2022-01-17 16:16:30,306:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:16:38,093:INFO:Calculating mean and std
- 2022-01-17 16:16:38,094:INFO:Creating metrics dataframe
- 2022-01-17 16:16:38,096:INFO:Uploading results into container
- 2022-01-17 16:16:38,096:INFO:Uploading model into container now
- 2022-01-17 16:16:38,097:INFO:create_model_container: 9
- 2022-01-17 16:16:38,097:INFO:master_model_container: 9
- 2022-01-17 16:16:38,097:INFO:display_container: 2
- 2022-01-17 16:16:38,097:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=2932)
- 2022-01-17 16:16:38,097:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:16:38,167:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:16:38,167:INFO:Creating metrics dataframe
- 2022-01-17 16:16:38,180:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 16:16:38,180:INFO:Total runtime is 0.7616098801294962 minutes
- 2022-01-17 16:16:38,185:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:16:38,186:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:16:38,186:INFO:Checking exceptions
- 2022-01-17 16:16:38,186:INFO:Importing libraries
- 2022-01-17 16:16:38,186:INFO:Copying training dataset
- 2022-01-17 16:16:38,187:INFO:Defining folds
- 2022-01-17 16:16:38,187:INFO:Declaring metric variables
- 2022-01-17 16:16:38,192:INFO:Importing untrained model
- 2022-01-17 16:16:38,197:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 16:16:38,207:INFO:Starting cross validation
- 2022-01-17 16:16:38,208:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:05,514:INFO:Calculating mean and std
- 2022-01-17 16:17:05,515:INFO:Creating metrics dataframe
- 2022-01-17 16:17:05,517:INFO:Uploading results into container
- 2022-01-17 16:17:05,518:INFO:Uploading model into container now
- 2022-01-17 16:17:05,518:INFO:create_model_container: 10
- 2022-01-17 16:17:05,518:INFO:master_model_container: 10
- 2022-01-17 16:17:05,518:INFO:display_container: 2
- 2022-01-17 16:17:05,518:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=2932, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 16:17:05,519:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:05,594:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:05,594:INFO:Creating metrics dataframe
- 2022-01-17 16:17:05,607:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 16:17:05,607:INFO:Total runtime is 1.218723444143931 minutes
- 2022-01-17 16:17:05,612:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:17:05,612:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:05,613:INFO:Checking exceptions
- 2022-01-17 16:17:05,613:INFO:Importing libraries
- 2022-01-17 16:17:05,613:INFO:Copying training dataset
- 2022-01-17 16:17:05,614:INFO:Defining folds
- 2022-01-17 16:17:05,614:INFO:Declaring metric variables
- 2022-01-17 16:17:05,619:INFO:Importing untrained model
- 2022-01-17 16:17:05,624:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 16:17:05,634:INFO:Starting cross validation
- 2022-01-17 16:17:05,635:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:07,409:INFO:Calculating mean and std
- 2022-01-17 16:17:07,410:INFO:Creating metrics dataframe
- 2022-01-17 16:17:07,414:INFO:Uploading results into container
- 2022-01-17 16:17:07,414:INFO:Uploading model into container now
- 2022-01-17 16:17:07,414:INFO:create_model_container: 11
- 2022-01-17 16:17:07,415:INFO:master_model_container: 11
- 2022-01-17 16:17:07,415:INFO:display_container: 2
- 2022-01-17 16:17:07,415:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 16:17:07,415:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:07,513:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:07,513:INFO:Creating metrics dataframe
- 2022-01-17 16:17:07,526:INFO:Initializing Extra Trees Classifier
- 2022-01-17 16:17:07,526:INFO:Total runtime is 1.2507105032602945 minutes
- 2022-01-17 16:17:07,531:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:17:07,531:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:07,532:INFO:Checking exceptions
- 2022-01-17 16:17:07,532:INFO:Importing libraries
- 2022-01-17 16:17:07,532:INFO:Copying training dataset
- 2022-01-17 16:17:07,533:INFO:Defining folds
- 2022-01-17 16:17:07,534:INFO:Declaring metric variables
- 2022-01-17 16:17:07,538:INFO:Importing untrained model
- 2022-01-17 16:17:07,543:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 16:17:07,554:INFO:Starting cross validation
- 2022-01-17 16:17:07,555:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:14,192:INFO:Calculating mean and std
- 2022-01-17 16:17:14,193:INFO:Creating metrics dataframe
- 2022-01-17 16:17:14,196:INFO:Uploading results into container
- 2022-01-17 16:17:14,196:INFO:Uploading model into container now
- 2022-01-17 16:17:14,196:INFO:create_model_container: 12
- 2022-01-17 16:17:14,196:INFO:master_model_container: 12
- 2022-01-17 16:17:14,196:INFO:display_container: 2
- 2022-01-17 16:17:14,197:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=2932, verbose=0,
- warm_start=False)
- 2022-01-17 16:17:14,197:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:14,274:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:14,275:INFO:Creating metrics dataframe
- 2022-01-17 16:17:14,288:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 16:17:14,289:INFO:Total runtime is 1.3634196678797403 minutes
- 2022-01-17 16:17:14,295:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:17:14,295:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:14,295:INFO:Checking exceptions
- 2022-01-17 16:17:14,296:INFO:Importing libraries
- 2022-01-17 16:17:14,296:INFO:Copying training dataset
- 2022-01-17 16:17:14,297:INFO:Defining folds
- 2022-01-17 16:17:14,297:INFO:Declaring metric variables
- 2022-01-17 16:17:14,302:INFO:Importing untrained model
- 2022-01-17 16:17:14,307:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 16:17:14,319:INFO:Starting cross validation
- 2022-01-17 16:17:14,319:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:18,130:INFO:Calculating mean and std
- 2022-01-17 16:17:18,131:INFO:Creating metrics dataframe
- 2022-01-17 16:17:18,134:INFO:Uploading results into container
- 2022-01-17 16:17:18,134:INFO:Uploading model into container now
- 2022-01-17 16:17:18,134:INFO:create_model_container: 13
- 2022-01-17 16:17:18,134:INFO:master_model_container: 13
- 2022-01-17 16:17:18,135:INFO:display_container: 2
- 2022-01-17 16:17:18,135:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=2932, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 16:17:18,135:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:18,218:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:18,218:INFO:Creating metrics dataframe
- 2022-01-17 16:17:18,231:INFO:Initializing Dummy Classifier
- 2022-01-17 16:17:18,231:INFO:Total runtime is 1.429133172829946 minutes
- 2022-01-17 16:17:18,237:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:17:18,237:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:18,238:INFO:Checking exceptions
- 2022-01-17 16:17:18,238:INFO:Importing libraries
- 2022-01-17 16:17:18,238:INFO:Copying training dataset
- 2022-01-17 16:17:18,239:INFO:Defining folds
- 2022-01-17 16:17:18,240:INFO:Declaring metric variables
- 2022-01-17 16:17:18,245:INFO:Importing untrained model
- 2022-01-17 16:17:18,250:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 16:17:18,260:INFO:Starting cross validation
- 2022-01-17 16:17:18,260:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:18,373:INFO:Calculating mean and std
- 2022-01-17 16:17:18,374:INFO:Creating metrics dataframe
- 2022-01-17 16:17:18,377:INFO:Uploading results into container
- 2022-01-17 16:17:18,377:INFO:Uploading model into container now
- 2022-01-17 16:17:18,378:INFO:create_model_container: 14
- 2022-01-17 16:17:18,378:INFO:master_model_container: 14
- 2022-01-17 16:17:18,378:INFO:display_container: 2
- 2022-01-17 16:17:18,378:INFO:DummyClassifier(constant=None, random_state=2932, strategy='prior')
- 2022-01-17 16:17:18,378:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:18,447:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:17:18,447:INFO:Creating metrics dataframe
- 2022-01-17 16:17:18,472:INFO:Initializing create_model()
- 2022-01-17 16:17:18,472:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
- 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={})
- 2022-01-17 16:17:18,472:INFO:Checking exceptions
- 2022-01-17 16:17:18,472:INFO:Importing libraries
- 2022-01-17 16:17:18,473:INFO:Copying training dataset
- 2022-01-17 16:17:18,473:INFO:Defining folds
- 2022-01-17 16:17:18,474:INFO:Declaring metric variables
- 2022-01-17 16:17:18,474:INFO:Importing untrained model
- 2022-01-17 16:17:18,474:INFO:Declaring custom model
- 2022-01-17 16:17:18,474:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:17:18,475:INFO:Cross validation set to False
- 2022-01-17 16:17:18,475:INFO:Fitting Model
- 2022-01-17 16:17:18,854:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
- warm_start=False)
- 2022-01-17 16:17:18,854:INFO:create_models() succesfully completed......................................
- 2022-01-17 16:17:18,955:INFO:create_model_container: 14
- 2022-01-17 16:17:18,956:INFO:master_model_container: 14
- 2022-01-17 16:17:18,956:INFO:display_container: 2
- 2022-01-17 16:17:18,956:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=2932, verbose=0,
- warm_start=False)
- 2022-01-17 16:17:18,956:INFO:compare_models() succesfully completed......................................
- 2022-01-17 16:17:33,729:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:17:33,729:INFO:Checking exceptions
- 2022-01-17 16:17:33,730:INFO:Preparing display monitor
- 2022-01-17 16:17:33,741:INFO:Importing libraries
- 2022-01-17 16:17:33,741:INFO:Copying training dataset
- 2022-01-17 16:17:33,742:INFO:Defining folds
- 2022-01-17 16:17:33,742:INFO:Declaring metric variables
- 2022-01-17 16:17:33,747:INFO:Importing untrained model
- 2022-01-17 16:17:33,753:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:17:33,764:INFO:Starting cross validation
- 2022-01-17 16:17:33,764:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:17:34,955:INFO:Calculating mean and std
- 2022-01-17 16:17:34,956:INFO:Creating metrics dataframe
- 2022-01-17 16:17:34,964:INFO:Finalizing model
- 2022-01-17 16:17:35,090:INFO:Uploading results into container
- 2022-01-17 16:17:35,091:INFO:Uploading model into container now
- 2022-01-17 16:17:35,101:INFO:create_model_container: 15
- 2022-01-17 16:17:35,101:INFO:master_model_container: 15
- 2022-01-17 16:17:35,101:INFO:display_container: 3
- 2022-01-17 16:17:35,102:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best')
- 2022-01-17 16:17:35,102:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:17:48,039:INFO:Initializing evaluate_model()
- 2022-01-17 16:17:48,039:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:17:48,051:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:17:48,051:INFO:Checking exceptions
- 2022-01-17 16:17:48,052:INFO:Preparing display monitor
- 2022-01-17 16:17:48,056:INFO:Preloading libraries
- 2022-01-17 16:17:48,057:INFO:Copying training dataset
- 2022-01-17 16:17:48,058:INFO:Copying test dataset
- 2022-01-17 16:17:48,059:INFO:Plot type: parameter
- 2022-01-17 16:17:48,064:INFO:Visual Rendered Successfully
- 2022-01-17 16:17:48,141:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:17:50,658:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:17:50,658:INFO:Checking exceptions
- 2022-01-17 16:17:50,659:INFO:Preparing display monitor
- 2022-01-17 16:17:50,664:INFO:Preloading libraries
- 2022-01-17 16:17:50,665:INFO:Copying training dataset
- 2022-01-17 16:17:50,666:INFO:Copying test dataset
- 2022-01-17 16:17:50,667:INFO:Plot type: confusion_matrix
- 2022-01-17 16:17:50,668:INFO:Initializing get_config()
- 2022-01-17 16:17:50,668:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:17:50,672:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:17:50,672:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:17:50,673:INFO:Fitting Model
- 2022-01-17 16:17:50,674:INFO:Scoring test/hold-out set
- 2022-01-17 16:17:50,761:INFO:Visual Rendered Successfully
- 2022-01-17 16:17:50,831:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:01,358:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:18:01,358:INFO:Checking exceptions
- 2022-01-17 16:18:01,359:INFO:Preparing display monitor
- 2022-01-17 16:18:01,363:INFO:Preloading libraries
- 2022-01-17 16:18:01,364:INFO:Copying training dataset
- 2022-01-17 16:18:01,365:INFO:Copying test dataset
- 2022-01-17 16:18:01,365:INFO:Plot type: pr
- 2022-01-17 16:18:01,366:INFO:Fitting Model
- 2022-01-17 16:18:01,368:INFO:Scoring test/hold-out set
- 2022-01-17 16:18:01,454:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:01,529:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:03,783:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:18:03,784:INFO:Checking exceptions
- 2022-01-17 16:18:03,785:INFO:Preparing display monitor
- 2022-01-17 16:18:03,788:INFO:Preloading libraries
- 2022-01-17 16:18:03,789:INFO:Copying training dataset
- 2022-01-17 16:18:03,790:INFO:Copying test dataset
- 2022-01-17 16:18:03,790:INFO:Plot type: error
- 2022-01-17 16:18:03,791:INFO:Initializing get_config()
- 2022-01-17 16:18:03,791:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:18:03,794:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:18:03,795:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:18:03,795:INFO:Fitting Model
- 2022-01-17 16:18:03,796:INFO:Scoring test/hold-out set
- 2022-01-17 16:18:03,890:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:03,965:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:07,067:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:18:07,068:INFO:Checking exceptions
- 2022-01-17 16:18:07,068:INFO:Preparing display monitor
- 2022-01-17 16:18:07,073:INFO:Preloading libraries
- 2022-01-17 16:18:07,074:INFO:Copying training dataset
- 2022-01-17 16:18:07,075:INFO:Copying test dataset
- 2022-01-17 16:18:07,075:INFO:Plot type: class_report
- 2022-01-17 16:18:07,076:INFO:Initializing get_config()
- 2022-01-17 16:18:07,076:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:18:07,079:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:18:07,079:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:18:07,080:INFO:Fitting Model
- 2022-01-17 16:18:07,081:INFO:Scoring test/hold-out set
- 2022-01-17 16:18:07,197:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:07,277:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:12,516:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=2932, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:18:12,517:INFO:Checking exceptions
- 2022-01-17 16:18:12,517:INFO:Preparing display monitor
- 2022-01-17 16:18:12,521:INFO:Preloading libraries
- 2022-01-17 16:18:12,522:INFO:Copying training dataset
- 2022-01-17 16:18:12,523:INFO:Copying test dataset
- 2022-01-17 16:18:12,523:INFO:Plot type: feature
- 2022-01-17 16:18:12,524:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:18:12,600:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:12,672:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:16,408:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:18:16,408:INFO:Checking exceptions
- 2022-01-17 16:18:16,409:INFO:Preparing display monitor
- 2022-01-17 16:18:16,413:INFO:Preloading libraries
- 2022-01-17 16:18:16,414:INFO:Copying training dataset
- 2022-01-17 16:18:16,415:INFO:Copying test dataset
- 2022-01-17 16:18:16,416:INFO:Plot type: feature_all
- 2022-01-17 16:18:16,417:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:18:16,649:INFO:Visual Rendered Successfully
- 2022-01-17 16:18:16,725:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:18:54,542:INFO:PyCaret Supervised Module
- 2022-01-17 16:18:54,543:INFO:ML Usecase: classification
- 2022-01-17 16:18:54,543:INFO:version 2.3.6
- 2022-01-17 16:18:54,543:INFO:Initializing setup()
- 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)
- 2022-01-17 16:18:54,543:INFO:Checking environment
- 2022-01-17 16:18:54,543:INFO:python_version: 3.8.8
- 2022-01-17 16:18:54,543:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-17 16:18:54,544:INFO:machine: x86_64
- 2022-01-17 16:18:54,544:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-17 16:18:54,545:INFO:Physical Core: 16
- 2022-01-17 16:18:54,545:INFO:Logical Core: 32
- 2022-01-17 16:18:54,545:INFO:Checking libraries
- 2022-01-17 16:18:54,545:INFO:pd==1.2.4
- 2022-01-17 16:18:54,545:INFO:numpy==1.19.5
- 2022-01-17 16:18:54,545:INFO:sklearn==0.23.2
- 2022-01-17 16:18:54,546:INFO:lightgbm==3.3.2
- 2022-01-17 16:18:54,546:WARNING:catboost not found
- 2022-01-17 16:18:54,546:WARNING:xgboost not found
- 2022-01-17 16:18:54,547:INFO:mlflow==1.22.0
- 2022-01-17 16:18:54,547:INFO:Checking Exceptions
- 2022-01-17 16:18:54,547:INFO:Declaring global variables
- 2022-01-17 16:18:54,547:INFO:USI: 2819
- 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'}
- 2022-01-17 16:18:54,547:INFO:Preparing display monitor
- 2022-01-17 16:18:54,548:INFO:Preparing display monitor
- 2022-01-17 16:18:54,555:INFO:Importing libraries
- 2022-01-17 16:18:54,555:INFO:Copying data for preprocessing
- 2022-01-17 16:18:54,561:INFO:Declaring preprocessing parameters
- 2022-01-17 16:18:54,562:WARNING:cuML not found
- 2022-01-17 16:18:54,562:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-17 16:18:54,564:INFO:Creating preprocessing pipeline
- 2022-01-17 16:18:54,594:INFO:Preprocessing pipeline created successfully
- 2022-01-17 16:18:54,595:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-17 16:18:54,595:INFO:Creating global containers
- 2022-01-17 16:18:54,595:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-17 16:19:11,428:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:19:11,455:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:19:11,456:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:19:11,457:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:19:11,470:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:19:11,474:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:19:11,475:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:19:11,480:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:19:11,481:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-17 16:19:11,512:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-17 16:19:11,512:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-17 16:19:11,513:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-17 16:19:11,527:WARNING:Couldn't import cuml.linear_model
- 2022-01-17 16:19:11,530:WARNING:Couldn't import cuml.ensemble
- 2022-01-17 16:19:11,531:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-17 16:19:11,534:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-17 16:19:11,535:INFO:Creating grid variables
- 2022-01-17 16:19:11,548:INFO:create_model_container: 0
- 2022-01-17 16:19:11,548:INFO:master_model_container: 0
- 2022-01-17 16:19:11,548:INFO:display_container: 1
- 2022-01-17 16:19:11,551:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:19:11,551:INFO:setup() succesfully completed......................................
- 2022-01-17 16:19:50,281:INFO:Initializing compare_models()
- 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)
- 2022-01-17 16:19:50,282:INFO:Checking exceptions
- 2022-01-17 16:19:50,282:INFO:Preparing display monitor
- 2022-01-17 16:19:50,283:INFO:Preparing display monitor
- 2022-01-17 16:19:50,298:INFO:Initializing Logistic Regression
- 2022-01-17 16:19:50,299:INFO:Total runtime is 4.923343658447265e-06 minutes
- 2022-01-17 16:19:50,304:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:19:50,304:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:19:50,305:INFO:Checking exceptions
- 2022-01-17 16:19:50,305:INFO:Importing libraries
- 2022-01-17 16:19:50,305:INFO:Copying training dataset
- 2022-01-17 16:19:50,306:INFO:Defining folds
- 2022-01-17 16:19:50,306:INFO:Declaring metric variables
- 2022-01-17 16:19:50,311:INFO:Importing untrained model
- 2022-01-17 16:19:50,316:INFO:Logistic Regression Imported succesfully
- 2022-01-17 16:19:50,327:INFO:Starting cross validation
- 2022-01-17 16:19:50,327:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:19:56,519:INFO:Calculating mean and std
- 2022-01-17 16:19:56,520:INFO:Creating metrics dataframe
- 2022-01-17 16:19:56,526:INFO:Uploading results into container
- 2022-01-17 16:19:56,528:INFO:Uploading model into container now
- 2022-01-17 16:19:56,528:INFO:create_model_container: 1
- 2022-01-17 16:19:56,528:INFO:master_model_container: 1
- 2022-01-17 16:19:56,528:INFO:display_container: 2
- 2022-01-17 16:19:56,529:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=424, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-17 16:19:56,529:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:19:56,615:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:19:56,616:INFO:Creating metrics dataframe
- 2022-01-17 16:19:56,625:INFO:Initializing K Neighbors Classifier
- 2022-01-17 16:19:56,625:INFO:Total runtime is 0.10544798374176026 minutes
- 2022-01-17 16:19:56,631:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:19:56,631:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:19:56,632:INFO:Checking exceptions
- 2022-01-17 16:19:56,632:INFO:Importing libraries
- 2022-01-17 16:19:56,632:INFO:Copying training dataset
- 2022-01-17 16:19:56,633:INFO:Defining folds
- 2022-01-17 16:19:56,633:INFO:Declaring metric variables
- 2022-01-17 16:19:56,638:INFO:Importing untrained model
- 2022-01-17 16:19:56,643:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 16:19:56,654:INFO:Starting cross validation
- 2022-01-17 16:19:56,654:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:13,378:INFO:Calculating mean and std
- 2022-01-17 16:20:13,379:INFO:Creating metrics dataframe
- 2022-01-17 16:20:13,382:INFO:Uploading results into container
- 2022-01-17 16:20:13,382:INFO:Uploading model into container now
- 2022-01-17 16:20:13,382:INFO:create_model_container: 2
- 2022-01-17 16:20:13,382:INFO:master_model_container: 2
- 2022-01-17 16:20:13,382:INFO:display_container: 2
- 2022-01-17 16:20:13,383:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 16:20:13,383:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:13,454:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:13,455:INFO:Creating metrics dataframe
- 2022-01-17 16:20:13,465:INFO:Initializing Naive Bayes
- 2022-01-17 16:20:13,466:INFO:Total runtime is 0.38611943721771236 minutes
- 2022-01-17 16:20:13,471:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:13,471:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:13,471:INFO:Checking exceptions
- 2022-01-17 16:20:13,471:INFO:Importing libraries
- 2022-01-17 16:20:13,472:INFO:Copying training dataset
- 2022-01-17 16:20:13,473:INFO:Defining folds
- 2022-01-17 16:20:13,473:INFO:Declaring metric variables
- 2022-01-17 16:20:13,478:INFO:Importing untrained model
- 2022-01-17 16:20:13,483:INFO:Naive Bayes Imported succesfully
- 2022-01-17 16:20:13,492:INFO:Starting cross validation
- 2022-01-17 16:20:13,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:13,717:INFO:Calculating mean and std
- 2022-01-17 16:20:13,718:INFO:Creating metrics dataframe
- 2022-01-17 16:20:13,721:INFO:Uploading results into container
- 2022-01-17 16:20:13,721:INFO:Uploading model into container now
- 2022-01-17 16:20:13,721:INFO:create_model_container: 3
- 2022-01-17 16:20:13,721:INFO:master_model_container: 3
- 2022-01-17 16:20:13,721:INFO:display_container: 2
- 2022-01-17 16:20:13,722:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-17 16:20:13,722:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:13,792:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:13,793:INFO:Creating metrics dataframe
- 2022-01-17 16:20:13,803:INFO:Initializing Decision Tree Classifier
- 2022-01-17 16:20:13,804:INFO:Total runtime is 0.39175337553024286 minutes
- 2022-01-17 16:20:13,809:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:13,809:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:13,809:INFO:Checking exceptions
- 2022-01-17 16:20:13,809:INFO:Importing libraries
- 2022-01-17 16:20:13,810:INFO:Copying training dataset
- 2022-01-17 16:20:13,811:INFO:Defining folds
- 2022-01-17 16:20:13,811:INFO:Declaring metric variables
- 2022-01-17 16:20:13,816:INFO:Importing untrained model
- 2022-01-17 16:20:13,820:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:20:13,831:INFO:Starting cross validation
- 2022-01-17 16:20:13,831:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:14,772:INFO:Calculating mean and std
- 2022-01-17 16:20:14,773:INFO:Creating metrics dataframe
- 2022-01-17 16:20:14,775:INFO:Uploading results into container
- 2022-01-17 16:20:14,776:INFO:Uploading model into container now
- 2022-01-17 16:20:14,776:INFO:create_model_container: 4
- 2022-01-17 16:20:14,776:INFO:master_model_container: 4
- 2022-01-17 16:20:14,776:INFO:display_container: 2
- 2022-01-17 16:20:14,776:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:20:14,777:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:14,845:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:14,846:INFO:Creating metrics dataframe
- 2022-01-17 16:20:14,856:INFO:Initializing SVM - Linear Kernel
- 2022-01-17 16:20:14,856:INFO:Total runtime is 0.4093016187349955 minutes
- 2022-01-17 16:20:14,862:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:14,862:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:14,862:INFO:Checking exceptions
- 2022-01-17 16:20:14,863:INFO:Importing libraries
- 2022-01-17 16:20:14,863:INFO:Copying training dataset
- 2022-01-17 16:20:14,864:INFO:Defining folds
- 2022-01-17 16:20:14,864:INFO:Declaring metric variables
- 2022-01-17 16:20:14,869:INFO:Importing untrained model
- 2022-01-17 16:20:14,874:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-17 16:20:14,885:INFO:Starting cross validation
- 2022-01-17 16:20:14,886:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:16,016:INFO:Calculating mean and std
- 2022-01-17 16:20:16,017:INFO:Creating metrics dataframe
- 2022-01-17 16:20:16,022:INFO:Uploading results into container
- 2022-01-17 16:20:16,022:INFO:Uploading model into container now
- 2022-01-17 16:20:16,022:INFO:create_model_container: 5
- 2022-01-17 16:20:16,024:INFO:master_model_container: 5
- 2022-01-17 16:20:16,025:INFO:display_container: 2
- 2022-01-17 16:20:16,028:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=424, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-17 16:20:16,028:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:16,122:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:16,122:INFO:Creating metrics dataframe
- 2022-01-17 16:20:16,133:INFO:Initializing Ridge Classifier
- 2022-01-17 16:20:16,134:INFO:Total runtime is 0.43058832089106236 minutes
- 2022-01-17 16:20:16,141:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:16,142:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:16,142:INFO:Checking exceptions
- 2022-01-17 16:20:16,142:INFO:Importing libraries
- 2022-01-17 16:20:16,142:INFO:Copying training dataset
- 2022-01-17 16:20:16,144:INFO:Defining folds
- 2022-01-17 16:20:16,144:INFO:Declaring metric variables
- 2022-01-17 16:20:16,153:INFO:Importing untrained model
- 2022-01-17 16:20:16,159:INFO:Ridge Classifier Imported succesfully
- 2022-01-17 16:20:16,173:INFO:Starting cross validation
- 2022-01-17 16:20:16,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:16,879:INFO:Calculating mean and std
- 2022-01-17 16:20:16,892:INFO:Creating metrics dataframe
- 2022-01-17 16:20:16,897:INFO:Uploading results into container
- 2022-01-17 16:20:16,900:INFO:Uploading model into container now
- 2022-01-17 16:20:16,900:INFO:create_model_container: 6
- 2022-01-17 16:20:16,900:INFO:master_model_container: 6
- 2022-01-17 16:20:16,901:INFO:display_container: 2
- 2022-01-17 16:20:16,901:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=424, solver='auto',
- tol=0.001)
- 2022-01-17 16:20:16,901:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:16,994:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:16,994:INFO:Creating metrics dataframe
- 2022-01-17 16:20:17,005:INFO:Initializing Random Forest Classifier
- 2022-01-17 16:20:17,005:INFO:Total runtime is 0.44511662721633904 minutes
- 2022-01-17 16:20:17,011:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:17,011:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:17,011:INFO:Checking exceptions
- 2022-01-17 16:20:17,011:INFO:Importing libraries
- 2022-01-17 16:20:17,012:INFO:Copying training dataset
- 2022-01-17 16:20:17,013:INFO:Defining folds
- 2022-01-17 16:20:17,013:INFO:Declaring metric variables
- 2022-01-17 16:20:17,018:INFO:Importing untrained model
- 2022-01-17 16:20:17,022:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:20:17,033:INFO:Starting cross validation
- 2022-01-17 16:20:17,033:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:23,517:INFO:Calculating mean and std
- 2022-01-17 16:20:23,518:INFO:Creating metrics dataframe
- 2022-01-17 16:20:23,520:INFO:Uploading results into container
- 2022-01-17 16:20:23,520:INFO:Uploading model into container now
- 2022-01-17 16:20:23,521:INFO:create_model_container: 7
- 2022-01-17 16:20:23,521:INFO:master_model_container: 7
- 2022-01-17 16:20:23,521:INFO:display_container: 2
- 2022-01-17 16:20:23,521:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-17 16:20:23,521:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:23,600:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:23,600:INFO:Creating metrics dataframe
- 2022-01-17 16:20:23,612:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-17 16:20:23,612:INFO:Total runtime is 0.555225106080373 minutes
- 2022-01-17 16:20:23,617:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:23,617:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:23,618:INFO:Checking exceptions
- 2022-01-17 16:20:23,618:INFO:Importing libraries
- 2022-01-17 16:20:23,618:INFO:Copying training dataset
- 2022-01-17 16:20:23,619:INFO:Defining folds
- 2022-01-17 16:20:23,619:INFO:Declaring metric variables
- 2022-01-17 16:20:23,624:INFO:Importing untrained model
- 2022-01-17 16:20:23,630:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-17 16:20:23,640:INFO:Starting cross validation
- 2022-01-17 16:20:23,641:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:24,483:INFO:Calculating mean and std
- 2022-01-17 16:20:24,484:INFO:Creating metrics dataframe
- 2022-01-17 16:20:24,489:INFO:Uploading results into container
- 2022-01-17 16:20:24,492:INFO:Uploading model into container now
- 2022-01-17 16:20:24,493:INFO:create_model_container: 8
- 2022-01-17 16:20:24,494:INFO:master_model_container: 8
- 2022-01-17 16:20:24,494:INFO:display_container: 2
- 2022-01-17 16:20:24,495:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-17 16:20:24,495:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:24,582:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:24,583:INFO:Creating metrics dataframe
- 2022-01-17 16:20:24,594:INFO:Initializing Ada Boost Classifier
- 2022-01-17 16:20:24,594:INFO:Total runtime is 0.5716010252634683 minutes
- 2022-01-17 16:20:24,600:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:24,600:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:24,600:INFO:Checking exceptions
- 2022-01-17 16:20:24,600:INFO:Importing libraries
- 2022-01-17 16:20:24,601:INFO:Copying training dataset
- 2022-01-17 16:20:24,602:INFO:Defining folds
- 2022-01-17 16:20:24,602:INFO:Declaring metric variables
- 2022-01-17 16:20:24,607:INFO:Importing untrained model
- 2022-01-17 16:20:24,612:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-17 16:20:24,622:INFO:Starting cross validation
- 2022-01-17 16:20:24,623:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:31,369:INFO:Calculating mean and std
- 2022-01-17 16:20:31,370:INFO:Creating metrics dataframe
- 2022-01-17 16:20:31,373:INFO:Uploading results into container
- 2022-01-17 16:20:31,373:INFO:Uploading model into container now
- 2022-01-17 16:20:31,373:INFO:create_model_container: 9
- 2022-01-17 16:20:31,373:INFO:master_model_container: 9
- 2022-01-17 16:20:31,373:INFO:display_container: 2
- 2022-01-17 16:20:31,374:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=424)
- 2022-01-17 16:20:31,374:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:31,444:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:31,445:INFO:Creating metrics dataframe
- 2022-01-17 16:20:31,457:INFO:Initializing Gradient Boosting Classifier
- 2022-01-17 16:20:31,457:INFO:Total runtime is 0.6859723726908366 minutes
- 2022-01-17 16:20:31,462:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:31,462:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:31,463:INFO:Checking exceptions
- 2022-01-17 16:20:31,463:INFO:Importing libraries
- 2022-01-17 16:20:31,463:INFO:Copying training dataset
- 2022-01-17 16:20:31,464:INFO:Defining folds
- 2022-01-17 16:20:31,464:INFO:Declaring metric variables
- 2022-01-17 16:20:31,469:INFO:Importing untrained model
- 2022-01-17 16:20:31,473:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-17 16:20:31,484:INFO:Starting cross validation
- 2022-01-17 16:20:31,484:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:53,555:INFO:Calculating mean and std
- 2022-01-17 16:20:53,555:INFO:Creating metrics dataframe
- 2022-01-17 16:20:53,558:INFO:Uploading results into container
- 2022-01-17 16:20:53,558:INFO:Uploading model into container now
- 2022-01-17 16:20:53,558:INFO:create_model_container: 10
- 2022-01-17 16:20:53,559:INFO:master_model_container: 10
- 2022-01-17 16:20:53,559:INFO:display_container: 2
- 2022-01-17 16:20:53,559:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=424, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-17 16:20:53,560:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:53,627:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:53,627:INFO:Creating metrics dataframe
- 2022-01-17 16:20:53,640:INFO:Initializing Linear Discriminant Analysis
- 2022-01-17 16:20:53,640:INFO:Total runtime is 1.0557005564371744 minutes
- 2022-01-17 16:20:53,646:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:53,646:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:53,646:INFO:Checking exceptions
- 2022-01-17 16:20:53,647:INFO:Importing libraries
- 2022-01-17 16:20:53,647:INFO:Copying training dataset
- 2022-01-17 16:20:53,648:INFO:Defining folds
- 2022-01-17 16:20:53,648:INFO:Declaring metric variables
- 2022-01-17 16:20:53,653:INFO:Importing untrained model
- 2022-01-17 16:20:53,657:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-17 16:20:53,668:INFO:Starting cross validation
- 2022-01-17 16:20:53,668:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:20:55,366:INFO:Calculating mean and std
- 2022-01-17 16:20:55,367:INFO:Creating metrics dataframe
- 2022-01-17 16:20:55,371:INFO:Uploading results into container
- 2022-01-17 16:20:55,371:INFO:Uploading model into container now
- 2022-01-17 16:20:55,371:INFO:create_model_container: 11
- 2022-01-17 16:20:55,371:INFO:master_model_container: 11
- 2022-01-17 16:20:55,371:INFO:display_container: 2
- 2022-01-17 16:20:55,372:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-17 16:20:55,372:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:20:55,470:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:20:55,470:INFO:Creating metrics dataframe
- 2022-01-17 16:20:55,483:INFO:Initializing Extra Trees Classifier
- 2022-01-17 16:20:55,483:INFO:Total runtime is 1.0864083329836527 minutes
- 2022-01-17 16:20:55,488:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:20:55,488:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:20:55,489:INFO:Checking exceptions
- 2022-01-17 16:20:55,489:INFO:Importing libraries
- 2022-01-17 16:20:55,489:INFO:Copying training dataset
- 2022-01-17 16:20:55,490:INFO:Defining folds
- 2022-01-17 16:20:55,490:INFO:Declaring metric variables
- 2022-01-17 16:20:55,495:INFO:Importing untrained model
- 2022-01-17 16:20:55,500:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-17 16:20:55,509:INFO:Starting cross validation
- 2022-01-17 16:20:55,510:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:02,191:INFO:Calculating mean and std
- 2022-01-17 16:21:02,191:INFO:Creating metrics dataframe
- 2022-01-17 16:21:02,194:INFO:Uploading results into container
- 2022-01-17 16:21:02,194:INFO:Uploading model into container now
- 2022-01-17 16:21:02,195:INFO:create_model_container: 12
- 2022-01-17 16:21:02,195:INFO:master_model_container: 12
- 2022-01-17 16:21:02,195:INFO:display_container: 2
- 2022-01-17 16:21:02,195:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-17 16:21:02,195:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:21:02,273:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:21:02,274:INFO:Creating metrics dataframe
- 2022-01-17 16:21:02,287:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-17 16:21:02,287:INFO:Total runtime is 1.199817915757497 minutes
- 2022-01-17 16:21:02,293:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:21:02,293:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:21:02,294:INFO:Checking exceptions
- 2022-01-17 16:21:02,294:INFO:Importing libraries
- 2022-01-17 16:21:02,294:INFO:Copying training dataset
- 2022-01-17 16:21:02,295:INFO:Defining folds
- 2022-01-17 16:21:02,295:INFO:Declaring metric variables
- 2022-01-17 16:21:02,300:INFO:Importing untrained model
- 2022-01-17 16:21:02,305:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-17 16:21:02,315:INFO:Starting cross validation
- 2022-01-17 16:21:02,316:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:05,313:INFO:Calculating mean and std
- 2022-01-17 16:21:05,313:INFO:Creating metrics dataframe
- 2022-01-17 16:21:05,316:INFO:Uploading results into container
- 2022-01-17 16:21:05,316:INFO:Uploading model into container now
- 2022-01-17 16:21:05,316:INFO:create_model_container: 13
- 2022-01-17 16:21:05,316:INFO:master_model_container: 13
- 2022-01-17 16:21:05,317:INFO:display_container: 2
- 2022-01-17 16:21:05,317:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=424, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-17 16:21:05,317:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:21:05,387:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:21:05,387:INFO:Creating metrics dataframe
- 2022-01-17 16:21:05,401:INFO:Initializing Dummy Classifier
- 2022-01-17 16:21:05,401:INFO:Total runtime is 1.2517123500506082 minutes
- 2022-01-17 16:21:05,406:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:21:05,407:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:21:05,407:INFO:Checking exceptions
- 2022-01-17 16:21:05,407:INFO:Importing libraries
- 2022-01-17 16:21:05,407:INFO:Copying training dataset
- 2022-01-17 16:21:05,409:INFO:Defining folds
- 2022-01-17 16:21:05,409:INFO:Declaring metric variables
- 2022-01-17 16:21:05,414:INFO:Importing untrained model
- 2022-01-17 16:21:05,418:INFO:Dummy Classifier Imported succesfully
- 2022-01-17 16:21:05,428:INFO:Starting cross validation
- 2022-01-17 16:21:05,429:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:05,540:INFO:Calculating mean and std
- 2022-01-17 16:21:05,540:INFO:Creating metrics dataframe
- 2022-01-17 16:21:05,543:INFO:Uploading results into container
- 2022-01-17 16:21:05,543:INFO:Uploading model into container now
- 2022-01-17 16:21:05,543:INFO:create_model_container: 14
- 2022-01-17 16:21:05,544:INFO:master_model_container: 14
- 2022-01-17 16:21:05,544:INFO:display_container: 2
- 2022-01-17 16:21:05,544:INFO:DummyClassifier(constant=None, random_state=424, strategy='prior')
- 2022-01-17 16:21:05,544:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:21:05,616:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:21:05,616:INFO:Creating metrics dataframe
- 2022-01-17 16:21:05,641:INFO:Initializing create_model()
- 2022-01-17 16:21:05,641:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- 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={})
- 2022-01-17 16:21:05,642:INFO:Checking exceptions
- 2022-01-17 16:21:05,642:INFO:Importing libraries
- 2022-01-17 16:21:05,642:INFO:Copying training dataset
- 2022-01-17 16:21:05,643:INFO:Defining folds
- 2022-01-17 16:21:05,643:INFO:Declaring metric variables
- 2022-01-17 16:21:05,643:INFO:Importing untrained model
- 2022-01-17 16:21:05,643:INFO:Declaring custom model
- 2022-01-17 16:21:05,644:INFO:Random Forest Classifier Imported succesfully
- 2022-01-17 16:21:05,644:INFO:Cross validation set to False
- 2022-01-17 16:21:05,644:INFO:Fitting Model
- 2022-01-17 16:21:06,028:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-17 16:21:06,028:INFO:create_models() succesfully completed......................................
- 2022-01-17 16:21:06,141:INFO:create_model_container: 14
- 2022-01-17 16:21:06,142:INFO:master_model_container: 14
- 2022-01-17 16:21:06,142:INFO:display_container: 2
- 2022-01-17 16:21:06,142:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-17 16:21:06,142:INFO:compare_models() succesfully completed......................................
- 2022-01-17 16:21:25,578:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:21:25,578:INFO:Checking exceptions
- 2022-01-17 16:21:25,578:INFO:Preparing display monitor
- 2022-01-17 16:21:25,589:INFO:Importing libraries
- 2022-01-17 16:21:25,589:INFO:Copying training dataset
- 2022-01-17 16:21:25,590:INFO:Defining folds
- 2022-01-17 16:21:25,591:INFO:Declaring metric variables
- 2022-01-17 16:21:25,595:INFO:Importing untrained model
- 2022-01-17 16:21:25,600:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:21:25,610:INFO:Starting cross validation
- 2022-01-17 16:21:25,611:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:26,551:INFO:Calculating mean and std
- 2022-01-17 16:21:26,552:INFO:Creating metrics dataframe
- 2022-01-17 16:21:26,559:INFO:Finalizing model
- 2022-01-17 16:21:26,651:INFO:Uploading results into container
- 2022-01-17 16:21:26,651:INFO:Uploading model into container now
- 2022-01-17 16:21:26,661:INFO:create_model_container: 15
- 2022-01-17 16:21:26,661:INFO:master_model_container: 15
- 2022-01-17 16:21:26,661:INFO:display_container: 3
- 2022-01-17 16:21:26,662:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:21:26,662:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:21:31,473:INFO:Initializing evaluate_model()
- 2022-01-17 16:21:31,473:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:21:31,484:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:21:31,484:INFO:Checking exceptions
- 2022-01-17 16:21:31,485:INFO:Preparing display monitor
- 2022-01-17 16:21:31,489:INFO:Preloading libraries
- 2022-01-17 16:21:31,490:INFO:Copying training dataset
- 2022-01-17 16:21:31,491:INFO:Copying test dataset
- 2022-01-17 16:21:31,491:INFO:Plot type: parameter
- 2022-01-17 16:21:31,496:INFO:Visual Rendered Successfully
- 2022-01-17 16:21:31,577:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:21:40,997:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:21:40,998:INFO:Checking exceptions
- 2022-01-17 16:21:40,999:INFO:Preparing display monitor
- 2022-01-17 16:21:41,003:INFO:Preloading libraries
- 2022-01-17 16:21:41,004:INFO:Copying training dataset
- 2022-01-17 16:21:41,005:INFO:Copying test dataset
- 2022-01-17 16:21:41,006:INFO:Plot type: feature
- 2022-01-17 16:21:41,007:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:21:41,081:INFO:Visual Rendered Successfully
- 2022-01-17 16:21:41,162:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:21:57,784:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:21:57,785:INFO:Checking exceptions
- 2022-01-17 16:21:57,785:INFO:Preparing display monitor
- 2022-01-17 16:21:57,796:INFO:Importing libraries
- 2022-01-17 16:21:57,796:INFO:Copying training dataset
- 2022-01-17 16:21:57,797:INFO:Defining folds
- 2022-01-17 16:21:57,798:INFO:Declaring metric variables
- 2022-01-17 16:21:57,803:INFO:Importing untrained model
- 2022-01-17 16:21:57,807:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:21:57,817:INFO:Starting cross validation
- 2022-01-17 16:21:57,818:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:21:58,752:INFO:Calculating mean and std
- 2022-01-17 16:21:58,753:INFO:Creating metrics dataframe
- 2022-01-17 16:21:58,759:INFO:Finalizing model
- 2022-01-17 16:21:58,850:INFO:Uploading results into container
- 2022-01-17 16:21:58,851:INFO:Uploading model into container now
- 2022-01-17 16:21:58,860:INFO:create_model_container: 16
- 2022-01-17 16:21:58,860:INFO:master_model_container: 16
- 2022-01-17 16:21:58,861:INFO:display_container: 4
- 2022-01-17 16:21:58,861:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:21:58,861:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:22:01,309:INFO:Initializing tune_model()
- 2022-01-17 16:22:01,309:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-17 16:22:01,310:INFO:Checking exceptions
- 2022-01-17 16:22:01,311:INFO:Preparing display monitor
- 2022-01-17 16:22:01,324:INFO:Copying training dataset
- 2022-01-17 16:22:01,325:INFO:Checking base model
- 2022-01-17 16:22:01,325:INFO:Base model : Decision Tree Classifier
- 2022-01-17 16:22:01,331:INFO:Declaring metric variables
- 2022-01-17 16:22:01,337:INFO:Defining Hyperparameters
- 2022-01-17 16:22:01,419:INFO:Tuning with n_jobs=-1
- 2022-01-17 16:22:01,420:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-17 16:22:02,742:INFO:Hyperparameter search completed
- 2022-01-17 16:22:02,742:INFO:SubProcess create_model() called ==================================
- 2022-01-17 16:22:02,742:INFO:Initializing create_model()
- 2022-01-17 16:22:02,742:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-17 16:22:02,743:INFO:Checking exceptions
- 2022-01-17 16:22:02,743:INFO:Importing libraries
- 2022-01-17 16:22:02,743:INFO:Copying training dataset
- 2022-01-17 16:22:02,744:INFO:Defining folds
- 2022-01-17 16:22:02,744:INFO:Declaring metric variables
- 2022-01-17 16:22:02,749:INFO:Importing untrained model
- 2022-01-17 16:22:02,749:INFO:Declaring custom model
- 2022-01-17 16:22:02,754:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:22:02,765:INFO:Starting cross validation
- 2022-01-17 16:22:02,765:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:22:03,022:INFO:Calculating mean and std
- 2022-01-17 16:22:03,022:INFO:Creating metrics dataframe
- 2022-01-17 16:22:03,029:INFO:Finalizing model
- 2022-01-17 16:22:03,047:INFO:Uploading results into container
- 2022-01-17 16:22:03,048:INFO:Uploading model into container now
- 2022-01-17 16:22:03,048:INFO:create_model_container: 17
- 2022-01-17 16:22:03,048:INFO:master_model_container: 17
- 2022-01-17 16:22:03,048:INFO:display_container: 5
- 2022-01-17 16:22:03,049:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:22:03,049:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:22:03,129:INFO:SubProcess create_model() end ==================================
- 2022-01-17 16:22:03,138:INFO:create_model_container: 17
- 2022-01-17 16:22:03,139:INFO:master_model_container: 17
- 2022-01-17 16:22:03,139:INFO:display_container: 5
- 2022-01-17 16:22:03,139:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:22:03,139:INFO:tune_model() succesfully completed......................................
- 2022-01-17 16:22:20,303:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:22:20,304:INFO:Checking exceptions
- 2022-01-17 16:22:20,304:INFO:Preparing display monitor
- 2022-01-17 16:22:20,315:INFO:Importing libraries
- 2022-01-17 16:22:20,315:INFO:Copying training dataset
- 2022-01-17 16:22:20,316:INFO:Defining folds
- 2022-01-17 16:22:20,316:INFO:Declaring metric variables
- 2022-01-17 16:22:20,321:INFO:Importing untrained model
- 2022-01-17 16:22:20,326:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:22:20,336:INFO:Starting cross validation
- 2022-01-17 16:22:20,336:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:22:21,284:INFO:Calculating mean and std
- 2022-01-17 16:22:21,285:INFO:Creating metrics dataframe
- 2022-01-17 16:22:21,291:INFO:Finalizing model
- 2022-01-17 16:22:21,386:INFO:Uploading results into container
- 2022-01-17 16:22:21,386:INFO:Uploading model into container now
- 2022-01-17 16:22:21,396:INFO:create_model_container: 18
- 2022-01-17 16:22:21,396:INFO:master_model_container: 18
- 2022-01-17 16:22:21,396:INFO:display_container: 6
- 2022-01-17 16:22:21,396:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:22:21,396:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:22:25,374:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:22:25,374:INFO:Checking exceptions
- 2022-01-17 16:22:25,374:INFO:Preparing display monitor
- 2022-01-17 16:22:25,385:INFO:Importing libraries
- 2022-01-17 16:22:25,386:INFO:Copying training dataset
- 2022-01-17 16:22:25,387:INFO:Defining folds
- 2022-01-17 16:22:25,387:INFO:Declaring metric variables
- 2022-01-17 16:22:25,393:INFO:Importing untrained model
- 2022-01-17 16:22:25,398:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-17 16:22:25,408:INFO:Starting cross validation
- 2022-01-17 16:22:25,409:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:22:41,934:INFO:Calculating mean and std
- 2022-01-17 16:22:41,935:INFO:Creating metrics dataframe
- 2022-01-17 16:22:41,942:INFO:Finalizing model
- 2022-01-17 16:22:43,431:INFO:Uploading results into container
- 2022-01-17 16:22:43,431:INFO:Uploading model into container now
- 2022-01-17 16:22:43,440:INFO:create_model_container: 19
- 2022-01-17 16:22:43,440:INFO:master_model_container: 19
- 2022-01-17 16:22:43,440:INFO:display_container: 7
- 2022-01-17 16:22:43,441:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-17 16:22:43,441:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:22:51,041:INFO:Initializing evaluate_model()
- 2022-01-17 16:22:51,041:INFO:evaluate_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:22:51,053:INFO:Initializing plot_model()
- 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',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:22:51,054:INFO:Checking exceptions
- 2022-01-17 16:22:51,055:INFO:Preparing display monitor
- 2022-01-17 16:22:51,060:INFO:Preloading libraries
- 2022-01-17 16:22:51,063:INFO:Copying training dataset
- 2022-01-17 16:22:51,064:INFO:Copying test dataset
- 2022-01-17 16:22:51,064:INFO:Plot type: parameter
- 2022-01-17 16:22:51,068:INFO:Visual Rendered Successfully
- 2022-01-17 16:22:51,155:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:22:53,286:INFO:Initializing plot_model()
- 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',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:22:53,287:INFO:Checking exceptions
- 2022-01-17 16:22:53,288:INFO:Preparing display monitor
- 2022-01-17 16:22:53,291:INFO:Preloading libraries
- 2022-01-17 16:22:53,294:INFO:Copying training dataset
- 2022-01-17 16:22:53,295:INFO:Copying test dataset
- 2022-01-17 16:22:53,295:INFO:Plot type: confusion_matrix
- 2022-01-17 16:22:53,296:INFO:Initializing get_config()
- 2022-01-17 16:22:53,296:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:22:53,299:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:22:53,299:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:22:53,300:INFO:Fitting Model
- 2022-01-17 16:22:53,306:INFO:Scoring test/hold-out set
- 2022-01-17 16:22:58,388:INFO:Visual Rendered Successfully
- 2022-01-17 16:22:58,458:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:23:02,216:INFO:Initializing plot_model()
- 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',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:02,216:INFO:Checking exceptions
- 2022-01-17 16:23:04,690:INFO:Initializing plot_model()
- 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',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:04,691:INFO:Checking exceptions
- 2022-01-17 16:23:10,866:INFO:Initializing create_model()
- 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={})
- 2022-01-17 16:23:10,866:INFO:Checking exceptions
- 2022-01-17 16:23:10,867:INFO:Preparing display monitor
- 2022-01-17 16:23:10,877:INFO:Importing libraries
- 2022-01-17 16:23:10,878:INFO:Copying training dataset
- 2022-01-17 16:23:10,879:INFO:Defining folds
- 2022-01-17 16:23:10,879:INFO:Declaring metric variables
- 2022-01-17 16:23:10,884:INFO:Importing untrained model
- 2022-01-17 16:23:10,889:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-17 16:23:10,899:INFO:Starting cross validation
- 2022-01-17 16:23:10,900:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-17 16:23:11,844:INFO:Calculating mean and std
- 2022-01-17 16:23:11,845:INFO:Creating metrics dataframe
- 2022-01-17 16:23:11,852:INFO:Finalizing model
- 2022-01-17 16:23:11,947:INFO:Uploading results into container
- 2022-01-17 16:23:11,947:INFO:Uploading model into container now
- 2022-01-17 16:23:11,957:INFO:create_model_container: 20
- 2022-01-17 16:23:11,957:INFO:master_model_container: 20
- 2022-01-17 16:23:11,957:INFO:display_container: 8
- 2022-01-17 16:23:11,957:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-17 16:23:11,957:INFO:create_model() succesfully completed......................................
- 2022-01-17 16:23:16,238:INFO:Initializing evaluate_model()
- 2022-01-17 16:23:16,238:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-17 16:23:16,249:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:16,249:INFO:Checking exceptions
- 2022-01-17 16:23:16,250:INFO:Preparing display monitor
- 2022-01-17 16:23:16,254:INFO:Preloading libraries
- 2022-01-17 16:23:16,255:INFO:Copying training dataset
- 2022-01-17 16:23:16,256:INFO:Copying test dataset
- 2022-01-17 16:23:16,256:INFO:Plot type: parameter
- 2022-01-17 16:23:16,261:INFO:Visual Rendered Successfully
- 2022-01-17 16:23:16,339:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:23:18,308:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:18,308:INFO:Checking exceptions
- 2022-01-17 16:23:18,309:INFO:Preparing display monitor
- 2022-01-17 16:23:18,313:INFO:Preloading libraries
- 2022-01-17 16:23:18,314:INFO:Copying training dataset
- 2022-01-17 16:23:18,315:INFO:Copying test dataset
- 2022-01-17 16:23:18,315:INFO:Plot type: feature
- 2022-01-17 16:23:18,316:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:23:18,390:INFO:Visual Rendered Successfully
- 2022-01-17 16:23:18,465:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:23:20,332:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:23:20,333:INFO:Checking exceptions
- 2022-01-17 16:23:20,333:INFO:Preparing display monitor
- 2022-01-17 16:23:20,338:INFO:Preloading libraries
- 2022-01-17 16:23:20,338:INFO:Copying training dataset
- 2022-01-17 16:23:20,339:INFO:Copying test dataset
- 2022-01-17 16:23:20,340:INFO:Plot type: feature_all
- 2022-01-17 16:23:20,341:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:23:20,551:INFO:Visual Rendered Successfully
- 2022-01-17 16:23:20,630:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:23:23,527:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:23:23,527:INFO:Checking exceptions
- 2022-01-17 16:23:23,528:INFO:Preparing display monitor
- 2022-01-17 16:23:23,532:INFO:Preloading libraries
- 2022-01-17 16:23:23,533:INFO:Copying training dataset
- 2022-01-17 16:23:23,534:INFO:Copying test dataset
- 2022-01-17 16:23:23,534:INFO:Plot type: feature
- 2022-01-17 16:23:23,535:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:23:23,608:INFO:Visual Rendered Successfully
- 2022-01-17 16:23:23,685:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:25:43,316:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:25:43,316:INFO:Checking exceptions
- 2022-01-17 16:25:43,317:INFO:Preparing display monitor
- 2022-01-17 16:25:43,321:INFO:Preloading libraries
- 2022-01-17 16:25:43,322:INFO:Copying training dataset
- 2022-01-17 16:25:43,322:INFO:Copying test dataset
- 2022-01-17 16:25:43,323:INFO:Plot type: feature_all
- 2022-01-17 16:25:43,324:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:25:43,535:INFO:Visual Rendered Successfully
- 2022-01-17 16:25:43,610:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:29:27,421:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:29:27,421:INFO:Checking exceptions
- 2022-01-17 16:29:27,422:INFO:Preparing display monitor
- 2022-01-17 16:29:27,426:INFO:Preloading libraries
- 2022-01-17 16:29:27,427:INFO:Copying training dataset
- 2022-01-17 16:29:27,428:INFO:Copying test dataset
- 2022-01-17 16:29:27,428:INFO:Plot type: feature
- 2022-01-17 16:29:27,429:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:29:27,505:INFO:Visual Rendered Successfully
- 2022-01-17 16:29:27,591:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:30:26,479:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:30:26,480:INFO:Checking exceptions
- 2022-01-17 16:30:26,481:INFO:Preparing display monitor
- 2022-01-17 16:30:26,484:INFO:Preloading libraries
- 2022-01-17 16:30:26,485:INFO:Copying training dataset
- 2022-01-17 16:30:26,486:INFO:Copying test dataset
- 2022-01-17 16:30:26,486:INFO:Plot type: confusion_matrix
- 2022-01-17 16:30:26,487:INFO:Initializing get_config()
- 2022-01-17 16:30:26,487:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:30:26,491:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:30:26,491:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:30:26,491:INFO:Fitting Model
- 2022-01-17 16:30:26,492:INFO:Scoring test/hold-out set
- 2022-01-17 16:30:26,577:INFO:Visual Rendered Successfully
- 2022-01-17 16:30:26,650:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:30:54,379:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:30:54,379:INFO:Checking exceptions
- 2022-01-17 16:30:54,380:INFO:Preparing display monitor
- 2022-01-17 16:30:54,384:INFO:Preloading libraries
- 2022-01-17 16:30:54,385:INFO:Copying training dataset
- 2022-01-17 16:30:54,386:INFO:Copying test dataset
- 2022-01-17 16:30:54,386:INFO:Plot type: feature
- 2022-01-17 16:30:54,387:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:30:54,461:INFO:Visual Rendered Successfully
- 2022-01-17 16:30:54,542:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:30:58,346:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:30:58,346:INFO:Checking exceptions
- 2022-01-17 16:30:58,347:INFO:Preparing display monitor
- 2022-01-17 16:30:58,351:INFO:Preloading libraries
- 2022-01-17 16:30:58,352:INFO:Copying training dataset
- 2022-01-17 16:30:58,352:INFO:Copying test dataset
- 2022-01-17 16:30:58,353:INFO:Plot type: feature_all
- 2022-01-17 16:30:58,354:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:30:58,568:INFO:Visual Rendered Successfully
- 2022-01-17 16:30:58,648:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:31:23,578:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:31:23,578:INFO:Checking exceptions
- 2022-01-17 16:31:23,579:INFO:Preparing display monitor
- 2022-01-17 16:31:23,583:INFO:Preloading libraries
- 2022-01-17 16:31:23,584:INFO:Copying training dataset
- 2022-01-17 16:31:23,585:INFO:Copying test dataset
- 2022-01-17 16:31:23,586:INFO:Plot type: feature
- 2022-01-17 16:31:23,587:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:31:23,662:INFO:Visual Rendered Successfully
- 2022-01-17 16:31:23,741:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:33:31,624:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:33:31,624:INFO:Checking exceptions
- 2022-01-17 16:33:31,625:INFO:Preparing display monitor
- 2022-01-17 16:33:31,630:INFO:Preloading libraries
- 2022-01-17 16:33:31,631:INFO:Copying training dataset
- 2022-01-17 16:33:31,632:INFO:Copying test dataset
- 2022-01-17 16:33:31,632:INFO:Plot type: feature_all
- 2022-01-17 16:33:31,633:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-17 16:33:31,871:INFO:Visual Rendered Successfully
- 2022-01-17 16:33:31,956:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:42:17,265:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=boundary, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:42:17,265:INFO:Checking exceptions
- 2022-01-17 16:42:17,266:INFO:Preparing display monitor
- 2022-01-17 16:42:17,271:INFO:Preloading libraries
- 2022-01-17 16:42:17,271:INFO:Copying training dataset
- 2022-01-17 16:42:17,272:INFO:Copying test dataset
- 2022-01-17 16:42:17,273:INFO:Plot type: boundary
- 2022-01-17 16:42:17,277:INFO:Fitting StandardScaler()
- 2022-01-17 16:42:17,296:INFO:Fitting PCA()
- 2022-01-17 16:42:17,487:INFO:Initializing get_config()
- 2022-01-17 16:42:17,490:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:42:17,495:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:42:17,501:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:42:17,502:INFO:Fitting Model
- 2022-01-17 16:42:18,546:INFO:Visual Rendered Successfully
- 2022-01-17 16:42:18,654:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:47:25,336:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=gain, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:47:25,336:INFO:Checking exceptions
- 2022-01-17 16:47:25,337:INFO:Preparing display monitor
- 2022-01-17 16:47:25,341:INFO:Preloading libraries
- 2022-01-17 16:47:25,342:INFO:Copying training dataset
- 2022-01-17 16:47:25,343:INFO:Copying test dataset
- 2022-01-17 16:47:25,343:INFO:Plot type: gain
- 2022-01-17 16:47:25,344:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 16:47:25,438:INFO:Visual Rendered Successfully
- 2022-01-17 16:47:25,525:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:47:27,740:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:47:27,740:INFO:Checking exceptions
- 2022-01-17 16:47:27,741:INFO:Preparing display monitor
- 2022-01-17 16:47:27,745:INFO:Preloading libraries
- 2022-01-17 16:47:27,746:INFO:Copying training dataset
- 2022-01-17 16:47:27,747:INFO:Copying test dataset
- 2022-01-17 16:47:27,747:INFO:Plot type: tree
- 2022-01-17 16:47:27,756:INFO:Plotting decision trees
- 2022-01-17 16:47:27,756:INFO:Plotting tree 0
- 2022-01-17 16:48:17,096:INFO:Visual Rendered Successfully
- 2022-01-17 16:48:17,209:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:51:12,283:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:51:12,283:INFO:Checking exceptions
- 2022-01-17 16:51:12,284:INFO:Preparing display monitor
- 2022-01-17 16:51:12,288:INFO:Preloading libraries
- 2022-01-17 16:51:12,289:INFO:Copying training dataset
- 2022-01-17 16:51:12,290:INFO:Copying test dataset
- 2022-01-17 16:51:12,290:INFO:Plot type: ks
- 2022-01-17 16:51:12,291:INFO:Generating predictions / predict_proba on X_test
- 2022-01-17 16:51:12,401:INFO:Visual Rendered Successfully
- 2022-01-17 16:51:12,488:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:51:17,944:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-17 16:51:17,944:INFO:Checking exceptions
- 2022-01-17 16:51:17,945:INFO:Preparing display monitor
- 2022-01-17 16:51:17,949:INFO:Preloading libraries
- 2022-01-17 16:51:17,950:INFO:Copying training dataset
- 2022-01-17 16:51:17,951:INFO:Copying test dataset
- 2022-01-17 16:51:17,952:INFO:Plot type: class_report
- 2022-01-17 16:51:17,953:INFO:Initializing get_config()
- 2022-01-17 16:51:17,953:INFO:get_config(variable=prep_pipe)
- 2022-01-17 16:51:17,956:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-17 16:51:17,956:INFO:get_config() succesfully completed......................................
- 2022-01-17 16:51:17,956:INFO:Fitting Model
- 2022-01-17 16:51:17,957:INFO:Scoring test/hold-out set
- 2022-01-17 16:51:18,078:INFO:Visual Rendered Successfully
- 2022-01-17 16:51:18,148:INFO:plot_model() succesfully completed......................................
- 2022-01-17 16:51:20,295:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-17 16:51:20,296:INFO:Checking exceptions
- 2022-01-17 16:51:20,297:INFO:Preparing display monitor
- 2022-01-17 16:51:20,300:INFO:Preloading libraries
- 2022-01-17 16:51:20,301:INFO:Copying training dataset
- 2022-01-17 16:51:20,302:INFO:Copying test dataset
- 2022-01-17 16:51:20,303:INFO:Plot type: rfe
- 2022-01-17 16:51:20,305:INFO:Fitting Model
- 2022-01-17 17:00:37,512:INFO:Visual Rendered Successfully
- 2022-01-17 17:00:37,586:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:14:57,081:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:14:57,082:INFO:Checking exceptions
- 2022-01-18 14:15:10,182:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:15:10,183:INFO:Checking exceptions
- 2022-01-18 14:15:10,183:INFO:Preparing display monitor
- 2022-01-18 14:15:10,197:INFO:Importing libraries
- 2022-01-18 14:15:10,197:INFO:Copying training dataset
- 2022-01-18 14:15:10,199:INFO:Defining folds
- 2022-01-18 14:15:10,199:INFO:Declaring metric variables
- 2022-01-18 14:15:10,205:INFO:Importing untrained model
- 2022-01-18 14:15:10,210:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:15:10,220:INFO:Starting cross validation
- 2022-01-18 14:15:10,221:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:15:17,630:INFO:Calculating mean and std
- 2022-01-18 14:15:17,631:INFO:Creating metrics dataframe
- 2022-01-18 14:15:17,639:INFO:Finalizing model
- 2022-01-18 14:15:18,022:INFO:Uploading results into container
- 2022-01-18 14:15:18,022:INFO:Uploading model into container now
- 2022-01-18 14:15:18,033:INFO:create_model_container: 21
- 2022-01-18 14:15:18,033:INFO:master_model_container: 21
- 2022-01-18 14:15:18,033:INFO:display_container: 9
- 2022-01-18 14:15:18,034:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-18 14:15:18,034:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:17:27,784:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:17:27,785:INFO:Checking exceptions
- 2022-01-18 14:18:02,077:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:18:02,078:INFO:Checking exceptions
- 2022-01-18 14:18:02,078:INFO:Preparing display monitor
- 2022-01-18 14:18:02,089:INFO:Importing libraries
- 2022-01-18 14:18:02,090:INFO:Copying training dataset
- 2022-01-18 14:18:02,092:INFO:Defining folds
- 2022-01-18 14:18:02,092:INFO:Declaring metric variables
- 2022-01-18 14:18:02,096:INFO:Importing untrained model
- 2022-01-18 14:18:02,101:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:18:02,112:INFO:Starting cross validation
- 2022-01-18 14:18:02,112:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:18:08,661:INFO:Calculating mean and std
- 2022-01-18 14:18:08,662:INFO:Creating metrics dataframe
- 2022-01-18 14:18:08,669:INFO:Finalizing model
- 2022-01-18 14:18:09,045:INFO:Uploading results into container
- 2022-01-18 14:18:09,045:INFO:Uploading model into container now
- 2022-01-18 14:18:09,055:INFO:create_model_container: 22
- 2022-01-18 14:18:09,055:INFO:master_model_container: 22
- 2022-01-18 14:18:09,056:INFO:display_container: 10
- 2022-01-18 14:18:09,056:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- warm_start=False)
- 2022-01-18 14:18:09,056:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:21:49,983:INFO:Initializing tune_model()
- 2022-01-18 14:21:49,983:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, verbose=0,
- 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={})
- 2022-01-18 14:21:49,984:INFO:Checking exceptions
- 2022-01-18 14:21:49,985:INFO:Preparing display monitor
- 2022-01-18 14:21:49,996:INFO:Copying training dataset
- 2022-01-18 14:21:49,997:INFO:Checking base model
- 2022-01-18 14:21:49,997:INFO:Base model : Random Forest Classifier
- 2022-01-18 14:21:50,002:INFO:Declaring metric variables
- 2022-01-18 14:21:50,007:INFO:Defining Hyperparameters
- 2022-01-18 14:21:50,099:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:21:50,099:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 14:22:05,925:INFO:Hyperparameter search completed
- 2022-01-18 14:22:05,925:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:22:05,925:INFO:Initializing create_model()
- 2022-01-18 14:22:05,926:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=424, 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 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})
- 2022-01-18 14:22:05,926:INFO:Checking exceptions
- 2022-01-18 14:22:05,926:INFO:Importing libraries
- 2022-01-18 14:22:05,926:INFO:Copying training dataset
- 2022-01-18 14:22:05,927:INFO:Defining folds
- 2022-01-18 14:22:05,927:INFO:Declaring metric variables
- 2022-01-18 14:22:05,933:INFO:Importing untrained model
- 2022-01-18 14:22:05,933:INFO:Declaring custom model
- 2022-01-18 14:22:05,938:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:22:05,948:INFO:Starting cross validation
- 2022-01-18 14:22:05,949:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:22:08,767:INFO:Calculating mean and std
- 2022-01-18 14:22:08,768:INFO:Creating metrics dataframe
- 2022-01-18 14:22:08,776:INFO:Finalizing model
- 2022-01-18 14:22:08,998:INFO:Uploading results into container
- 2022-01-18 14:22:08,999:INFO:Uploading model into container now
- 2022-01-18 14:22:08,999:INFO:create_model_container: 23
- 2022-01-18 14:22:08,999:INFO:master_model_container: 23
- 2022-01-18 14:22:08,999:INFO:display_container: 11
- 2022-01-18 14:22:09,000:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
- class_weight='balanced_subsample', criterion='entropy',
- max_depth=10, max_features='sqrt', max_leaf_nodes=None,
- max_samples=None, min_impurity_decrease=0.002,
- min_impurity_split=None, min_samples_leaf=3,
- min_samples_split=10, min_weight_fraction_leaf=0.0,
- n_estimators=30, n_jobs=-1, oob_score=False,
- random_state=424, verbose=0, warm_start=False)
- 2022-01-18 14:22:09,000:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:22:09,072:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:22:09,082:INFO:create_model_container: 23
- 2022-01-18 14:22:09,082:INFO:master_model_container: 23
- 2022-01-18 14:22:09,082:INFO:display_container: 11
- 2022-01-18 14:22:09,083:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
- class_weight='balanced_subsample', criterion='entropy',
- max_depth=10, max_features='sqrt', max_leaf_nodes=None,
- max_samples=None, min_impurity_decrease=0.002,
- min_impurity_split=None, min_samples_leaf=3,
- min_samples_split=10, min_weight_fraction_leaf=0.0,
- n_estimators=30, n_jobs=-1, oob_score=False,
- random_state=424, verbose=0, warm_start=False)
- 2022-01-18 14:22:09,083:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:22:41,168:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:22:41,169:INFO:Checking exceptions
- 2022-01-18 14:22:41,169:INFO:Preparing display monitor
- 2022-01-18 14:22:41,180:INFO:Importing libraries
- 2022-01-18 14:22:41,180:INFO:Copying training dataset
- 2022-01-18 14:22:41,182:INFO:Defining folds
- 2022-01-18 14:22:41,182:INFO:Declaring metric variables
- 2022-01-18 14:22:41,187:INFO:Importing untrained model
- 2022-01-18 14:22:41,192:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:22:41,203:INFO:Starting cross validation
- 2022-01-18 14:22:41,204:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:22:42,162:INFO:Calculating mean and std
- 2022-01-18 14:22:42,163:INFO:Creating metrics dataframe
- 2022-01-18 14:22:42,170:INFO:Finalizing model
- 2022-01-18 14:22:42,263:INFO:Uploading results into container
- 2022-01-18 14:22:42,264:INFO:Uploading model into container now
- 2022-01-18 14:22:42,273:INFO:create_model_container: 24
- 2022-01-18 14:22:42,273:INFO:master_model_container: 24
- 2022-01-18 14:22:42,273:INFO:display_container: 12
- 2022-01-18 14:22:42,274:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:22:42,274:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:22:45,644:INFO:Initializing tune_model()
- 2022-01-18 14:22:45,645:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:22:45,645:INFO:Checking exceptions
- 2022-01-18 14:22:45,646:INFO:Preparing display monitor
- 2022-01-18 14:22:45,657:INFO:Copying training dataset
- 2022-01-18 14:22:45,658:INFO:Checking base model
- 2022-01-18 14:22:45,658:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:22:45,663:INFO:Declaring metric variables
- 2022-01-18 14:22:45,668:INFO:Defining Hyperparameters
- 2022-01-18 14:22:45,746:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:22:45,746:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:22:46,171:INFO:Hyperparameter search completed
- 2022-01-18 14:22:46,172:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:22:46,172:INFO:Initializing create_model()
- 2022-01-18 14:22:46,172:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:22:46,173:INFO:Checking exceptions
- 2022-01-18 14:22:46,173:INFO:Importing libraries
- 2022-01-18 14:22:46,173:INFO:Copying training dataset
- 2022-01-18 14:22:46,174:INFO:Defining folds
- 2022-01-18 14:22:46,174:INFO:Declaring metric variables
- 2022-01-18 14:22:46,180:INFO:Importing untrained model
- 2022-01-18 14:22:46,180:INFO:Declaring custom model
- 2022-01-18 14:22:46,186:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:22:46,196:INFO:Starting cross validation
- 2022-01-18 14:22:46,196:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:22:46,517:INFO:Calculating mean and std
- 2022-01-18 14:22:46,518:INFO:Creating metrics dataframe
- 2022-01-18 14:22:46,525:INFO:Finalizing model
- 2022-01-18 14:22:46,548:INFO:Uploading results into container
- 2022-01-18 14:22:46,549:INFO:Uploading model into container now
- 2022-01-18 14:22:46,549:INFO:create_model_container: 25
- 2022-01-18 14:22:46,549:INFO:master_model_container: 25
- 2022-01-18 14:22:46,549:INFO:display_container: 13
- 2022-01-18 14:22:46,550:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=4, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.01, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=9,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:22:46,550:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:22:46,631:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:22:46,640:INFO:create_model_container: 25
- 2022-01-18 14:22:46,640:INFO:master_model_container: 25
- 2022-01-18 14:22:46,641:INFO:display_container: 13
- 2022-01-18 14:22:46,641:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=4, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.01, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=9,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:22:46,641:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:00,551:INFO:Initializing tune_model()
- 2022-01-18 14:23:00,552:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:00,552:INFO:Checking exceptions
- 2022-01-18 14:23:04,002:INFO:Initializing tune_model()
- 2022-01-18 14:23:04,002:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:04,002:INFO:Checking exceptions
- 2022-01-18 14:23:08,098:INFO:Initializing tune_model()
- 2022-01-18 14:23:08,098:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:08,099:INFO:Checking exceptions
- 2022-01-18 14:23:08,100:INFO:Preparing display monitor
- 2022-01-18 14:23:08,112:INFO:Copying training dataset
- 2022-01-18 14:23:08,113:INFO:Checking base model
- 2022-01-18 14:23:08,113:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:08,119:INFO:Declaring metric variables
- 2022-01-18 14:23:08,124:INFO:Defining Hyperparameters
- 2022-01-18 14:23:08,207:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:08,207:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:08,636:INFO:Hyperparameter search completed
- 2022-01-18 14:23:08,636:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:08,637:INFO:Initializing create_model()
- 2022-01-18 14:23:08,637:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:08,637:INFO:Checking exceptions
- 2022-01-18 14:23:08,637:INFO:Importing libraries
- 2022-01-18 14:23:08,637:INFO:Copying training dataset
- 2022-01-18 14:23:08,639:INFO:Defining folds
- 2022-01-18 14:23:08,639:INFO:Declaring metric variables
- 2022-01-18 14:23:08,644:INFO:Importing untrained model
- 2022-01-18 14:23:08,644:INFO:Declaring custom model
- 2022-01-18 14:23:08,649:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:08,658:INFO:Starting cross validation
- 2022-01-18 14:23:08,659:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:08,921:INFO:Calculating mean and std
- 2022-01-18 14:23:08,921:INFO:Creating metrics dataframe
- 2022-01-18 14:23:08,928:INFO:Finalizing model
- 2022-01-18 14:23:08,944:INFO:Uploading results into container
- 2022-01-18 14:23:08,944:INFO:Uploading model into container now
- 2022-01-18 14:23:08,944:INFO:create_model_container: 26
- 2022-01-18 14:23:08,944:INFO:master_model_container: 26
- 2022-01-18 14:23:08,944:INFO:display_container: 14
- 2022-01-18 14:23:08,945:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:08,945:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:09,029:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:09,039:INFO:create_model_container: 26
- 2022-01-18 14:23:09,039:INFO:master_model_container: 26
- 2022-01-18 14:23:09,039:INFO:display_container: 14
- 2022-01-18 14:23:09,040:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:09,040:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:19,531:INFO:Initializing tune_model()
- 2022-01-18 14:23:19,531:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:19,532:INFO:Checking exceptions
- 2022-01-18 14:23:19,532:INFO:Preparing display monitor
- 2022-01-18 14:23:19,544:INFO:Copying training dataset
- 2022-01-18 14:23:19,545:INFO:Checking base model
- 2022-01-18 14:23:19,545:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:19,551:INFO:Declaring metric variables
- 2022-01-18 14:23:19,557:INFO:Defining Hyperparameters
- 2022-01-18 14:23:19,640:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:19,641:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:20,079:INFO:Hyperparameter search completed
- 2022-01-18 14:23:20,079:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:20,079:INFO:Initializing create_model()
- 2022-01-18 14:23:20,080:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:20,080:INFO:Checking exceptions
- 2022-01-18 14:23:20,080:INFO:Importing libraries
- 2022-01-18 14:23:20,080:INFO:Copying training dataset
- 2022-01-18 14:23:20,081:INFO:Defining folds
- 2022-01-18 14:23:20,081:INFO:Declaring metric variables
- 2022-01-18 14:23:20,087:INFO:Importing untrained model
- 2022-01-18 14:23:20,087:INFO:Declaring custom model
- 2022-01-18 14:23:20,092:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:20,102:INFO:Starting cross validation
- 2022-01-18 14:23:20,103:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:20,376:INFO:Calculating mean and std
- 2022-01-18 14:23:20,377:INFO:Creating metrics dataframe
- 2022-01-18 14:23:20,384:INFO:Finalizing model
- 2022-01-18 14:23:20,400:INFO:Uploading results into container
- 2022-01-18 14:23:20,400:INFO:Uploading model into container now
- 2022-01-18 14:23:20,400:INFO:create_model_container: 27
- 2022-01-18 14:23:20,401:INFO:master_model_container: 27
- 2022-01-18 14:23:20,401:INFO:display_container: 15
- 2022-01-18 14:23:20,401:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features='sqrt', max_leaf_nodes=None,
- min_impurity_decrease=0.0001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:20,401:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:20,478:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:20,487:INFO:create_model_container: 27
- 2022-01-18 14:23:20,488:INFO:master_model_container: 27
- 2022-01-18 14:23:20,488:INFO:display_container: 15
- 2022-01-18 14:23:20,488:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features='sqrt', max_leaf_nodes=None,
- min_impurity_decrease=0.0001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:20,488:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:32,000:INFO:Initializing tune_model()
- 2022-01-18 14:23:32,001:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:32,001:INFO:Checking exceptions
- 2022-01-18 14:23:32,002:INFO:Preparing display monitor
- 2022-01-18 14:23:32,014:INFO:Copying training dataset
- 2022-01-18 14:23:32,015:INFO:Checking base model
- 2022-01-18 14:23:32,015:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:32,021:INFO:Declaring metric variables
- 2022-01-18 14:23:32,026:INFO:Defining Hyperparameters
- 2022-01-18 14:23:32,109:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:32,109:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:32,533:INFO:Hyperparameter search completed
- 2022-01-18 14:23:32,533:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:32,534:INFO:Initializing create_model()
- 2022-01-18 14:23:32,534:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:32,534:INFO:Checking exceptions
- 2022-01-18 14:23:32,534:INFO:Importing libraries
- 2022-01-18 14:23:32,534:INFO:Copying training dataset
- 2022-01-18 14:23:32,536:INFO:Defining folds
- 2022-01-18 14:23:32,536:INFO:Declaring metric variables
- 2022-01-18 14:23:32,541:INFO:Importing untrained model
- 2022-01-18 14:23:32,541:INFO:Declaring custom model
- 2022-01-18 14:23:32,546:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:32,557:INFO:Starting cross validation
- 2022-01-18 14:23:32,558:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:32,827:INFO:Calculating mean and std
- 2022-01-18 14:23:32,828:INFO:Creating metrics dataframe
- 2022-01-18 14:23:32,835:INFO:Finalizing model
- 2022-01-18 14:23:32,851:INFO:Uploading results into container
- 2022-01-18 14:23:32,851:INFO:Uploading model into container now
- 2022-01-18 14:23:32,851:INFO:create_model_container: 28
- 2022-01-18 14:23:32,851:INFO:master_model_container: 28
- 2022-01-18 14:23:32,851:INFO:display_container: 16
- 2022-01-18 14:23:32,852:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:32,852:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:32,936:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:32,946:INFO:create_model_container: 28
- 2022-01-18 14:23:32,946:INFO:master_model_container: 28
- 2022-01-18 14:23:32,946:INFO:display_container: 16
- 2022-01-18 14:23:32,946:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=14, max_features='log2', max_leaf_nodes=None,
- min_impurity_decrease=0, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:32,947:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:38,968:INFO:Initializing tune_model()
- 2022-01-18 14:23:38,968:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:38,969:INFO:Checking exceptions
- 2022-01-18 14:23:38,970:INFO:Preparing display monitor
- 2022-01-18 14:23:38,980:INFO:Copying training dataset
- 2022-01-18 14:23:38,982:INFO:Checking base model
- 2022-01-18 14:23:38,982:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:38,988:INFO:Declaring metric variables
- 2022-01-18 14:23:38,992:INFO:Defining Hyperparameters
- 2022-01-18 14:23:39,072:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:39,072:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:39,511:INFO:Hyperparameter search completed
- 2022-01-18 14:23:39,511:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:39,512:INFO:Initializing create_model()
- 2022-01-18 14:23:39,512:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:39,512:INFO:Checking exceptions
- 2022-01-18 14:23:39,512:INFO:Importing libraries
- 2022-01-18 14:23:39,512:INFO:Copying training dataset
- 2022-01-18 14:23:39,513:INFO:Defining folds
- 2022-01-18 14:23:39,514:INFO:Declaring metric variables
- 2022-01-18 14:23:39,519:INFO:Importing untrained model
- 2022-01-18 14:23:39,519:INFO:Declaring custom model
- 2022-01-18 14:23:39,525:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:39,535:INFO:Starting cross validation
- 2022-01-18 14:23:39,535:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:39,858:INFO:Calculating mean and std
- 2022-01-18 14:23:39,858:INFO:Creating metrics dataframe
- 2022-01-18 14:23:39,865:INFO:Finalizing model
- 2022-01-18 14:23:39,889:INFO:Uploading results into container
- 2022-01-18 14:23:39,890:INFO:Uploading model into container now
- 2022-01-18 14:23:39,890:INFO:create_model_container: 29
- 2022-01-18 14:23:39,890:INFO:master_model_container: 29
- 2022-01-18 14:23:39,890:INFO:display_container: 17
- 2022-01-18 14:23:39,890:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=4, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.01, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=9,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:39,891:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:39,976:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:39,987:INFO:create_model_container: 29
- 2022-01-18 14:23:39,987:INFO:master_model_container: 29
- 2022-01-18 14:23:39,987:INFO:display_container: 17
- 2022-01-18 14:23:39,988:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=4, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.01, min_impurity_split=None,
- min_samples_leaf=4, min_samples_split=9,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:39,988:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:46,047:INFO:Initializing tune_model()
- 2022-01-18 14:23:46,047:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 14:23:46,048:INFO:Checking exceptions
- 2022-01-18 14:23:46,049:INFO:Preparing display monitor
- 2022-01-18 14:23:46,059:INFO:Copying training dataset
- 2022-01-18 14:23:46,060:INFO:Checking base model
- 2022-01-18 14:23:46,060:INFO:Base model : Decision Tree Classifier
- 2022-01-18 14:23:46,066:INFO:Declaring metric variables
- 2022-01-18 14:23:46,070:INFO:Defining Hyperparameters
- 2022-01-18 14:23:46,150:INFO:Tuning with n_jobs=-1
- 2022-01-18 14:23:46,150:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 14:23:46,583:INFO:Hyperparameter search completed
- 2022-01-18 14:23:46,584:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:23:46,584:INFO:Initializing create_model()
- 2022-01-18 14:23:46,584:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 14:23:46,584:INFO:Checking exceptions
- 2022-01-18 14:23:46,585:INFO:Importing libraries
- 2022-01-18 14:23:46,585:INFO:Copying training dataset
- 2022-01-18 14:23:46,586:INFO:Defining folds
- 2022-01-18 14:23:46,586:INFO:Declaring metric variables
- 2022-01-18 14:23:46,592:INFO:Importing untrained model
- 2022-01-18 14:23:46,592:INFO:Declaring custom model
- 2022-01-18 14:23:46,597:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:46,607:INFO:Starting cross validation
- 2022-01-18 14:23:46,608:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:46,871:INFO:Calculating mean and std
- 2022-01-18 14:23:46,872:INFO:Creating metrics dataframe
- 2022-01-18 14:23:46,879:INFO:Finalizing model
- 2022-01-18 14:23:46,894:INFO:Uploading results into container
- 2022-01-18 14:23:46,894:INFO:Uploading model into container now
- 2022-01-18 14:23:46,894:INFO:create_model_container: 30
- 2022-01-18 14:23:46,894:INFO:master_model_container: 30
- 2022-01-18 14:23:46,895:INFO:display_container: 18
- 2022-01-18 14:23:46,895:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features='sqrt', max_leaf_nodes=None,
- min_impurity_decrease=0.0001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:46,895:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:23:46,985:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:23:46,995:INFO:create_model_container: 30
- 2022-01-18 14:23:46,995:INFO:master_model_container: 30
- 2022-01-18 14:23:46,996:INFO:display_container: 18
- 2022-01-18 14:23:46,996:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
- max_depth=13, max_features='sqrt', max_leaf_nodes=None,
- min_impurity_decrease=0.0001, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=5,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:46,996:INFO:tune_model() succesfully completed......................................
- 2022-01-18 14:23:53,610:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:23:53,610:INFO:Checking exceptions
- 2022-01-18 14:23:53,611:INFO:Preparing display monitor
- 2022-01-18 14:23:53,621:INFO:Importing libraries
- 2022-01-18 14:23:53,622:INFO:Copying training dataset
- 2022-01-18 14:23:53,623:INFO:Defining folds
- 2022-01-18 14:23:53,623:INFO:Declaring metric variables
- 2022-01-18 14:23:53,628:INFO:Importing untrained model
- 2022-01-18 14:23:53,632:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:23:53,643:INFO:Starting cross validation
- 2022-01-18 14:23:53,643:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:23:54,577:INFO:Calculating mean and std
- 2022-01-18 14:23:54,578:INFO:Creating metrics dataframe
- 2022-01-18 14:23:54,585:INFO:Finalizing model
- 2022-01-18 14:23:54,678:INFO:Uploading results into container
- 2022-01-18 14:23:54,678:INFO:Uploading model into container now
- 2022-01-18 14:23:54,688:INFO:create_model_container: 31
- 2022-01-18 14:23:54,688:INFO:master_model_container: 31
- 2022-01-18 14:23:54,688:INFO:display_container: 19
- 2022-01-18 14:23:54,689:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=424, splitter='best')
- 2022-01-18 14:23:54,689:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:11,874:INFO:PyCaret Supervised Module
- 2022-01-18 14:38:11,874:INFO:ML Usecase: classification
- 2022-01-18 14:38:11,874:INFO:version 2.3.6
- 2022-01-18 14:38:11,875:INFO:Initializing setup()
- 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)
- 2022-01-18 14:38:11,875:INFO:Checking environment
- 2022-01-18 14:38:11,875:INFO:python_version: 3.8.8
- 2022-01-18 14:38:11,875:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 14:38:11,875:INFO:machine: x86_64
- 2022-01-18 14:38:11,875:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 14:38:11,876:INFO:Physical Core: 16
- 2022-01-18 14:38:11,876:INFO:Logical Core: 32
- 2022-01-18 14:38:11,877:INFO:Checking libraries
- 2022-01-18 14:38:11,877:INFO:pd==1.2.4
- 2022-01-18 14:38:11,877:INFO:numpy==1.19.5
- 2022-01-18 14:38:11,877:INFO:sklearn==0.23.2
- 2022-01-18 14:38:11,877:INFO:lightgbm==3.3.2
- 2022-01-18 14:38:11,878:WARNING:catboost not found
- 2022-01-18 14:38:11,878:WARNING:xgboost not found
- 2022-01-18 14:38:11,878:INFO:mlflow==1.22.0
- 2022-01-18 14:38:11,878:INFO:Checking Exceptions
- 2022-01-18 14:38:11,879:INFO:Declaring global variables
- 2022-01-18 14:38:11,879:INFO:USI: b2d4
- 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'}
- 2022-01-18 14:38:11,879:INFO:Preparing display monitor
- 2022-01-18 14:38:11,879:INFO:Preparing display monitor
- 2022-01-18 14:38:11,886:INFO:Importing libraries
- 2022-01-18 14:38:11,886:INFO:Copying data for preprocessing
- 2022-01-18 14:38:11,892:INFO:Declaring preprocessing parameters
- 2022-01-18 14:38:11,893:WARNING:cuML not found
- 2022-01-18 14:38:11,893:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 14:38:11,897:INFO:Creating preprocessing pipeline
- 2022-01-18 14:38:11,928:INFO:Preprocessing pipeline created successfully
- 2022-01-18 14:38:11,928:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 14:38:11,928:INFO:Creating global containers
- 2022-01-18 14:38:11,928:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 14:38:17,510:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 14:38:17,539:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 14:38:17,540:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 14:38:17,540:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 14:38:17,555:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 14:38:17,558:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 14:38:17,559:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 14:38:17,562:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 14:38:17,563:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 14:38:17,593:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 14:38:17,594:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 14:38:17,595:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 14:38:17,609:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 14:38:17,612:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 14:38:17,613:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 14:38:17,618:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 14:38:17,618:INFO:Creating grid variables
- 2022-01-18 14:38:17,631:INFO:create_model_container: 0
- 2022-01-18 14:38:17,631:INFO:master_model_container: 0
- 2022-01-18 14:38:17,631:INFO:display_container: 1
- 2022-01-18 14:38:17,634:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply'],
- ml_usecase='classification', n_jobs=-1,
- random_state=3582, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 14:38:17,635:INFO:setup() succesfully completed......................................
- 2022-01-18 14:38:24,983:INFO:Initializing compare_models()
- 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)
- 2022-01-18 14:38:24,983:INFO:Checking exceptions
- 2022-01-18 14:38:24,985:INFO:Preparing display monitor
- 2022-01-18 14:38:24,985:INFO:Preparing display monitor
- 2022-01-18 14:38:25,002:INFO:Initializing Logistic Regression
- 2022-01-18 14:38:25,002:INFO:Total runtime is 5.404154459635417e-06 minutes
- 2022-01-18 14:38:25,008:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:25,008:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:25,009:INFO:Checking exceptions
- 2022-01-18 14:38:25,009:INFO:Importing libraries
- 2022-01-18 14:38:25,009:INFO:Copying training dataset
- 2022-01-18 14:38:25,011:INFO:Defining folds
- 2022-01-18 14:38:25,011:INFO:Declaring metric variables
- 2022-01-18 14:38:25,016:INFO:Importing untrained model
- 2022-01-18 14:38:25,021:INFO:Logistic Regression Imported succesfully
- 2022-01-18 14:38:25,031:INFO:Starting cross validation
- 2022-01-18 14:38:25,032:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:41,771:INFO:Calculating mean and std
- 2022-01-18 14:38:41,772:INFO:Creating metrics dataframe
- 2022-01-18 14:38:41,778:INFO:Uploading results into container
- 2022-01-18 14:38:41,779:INFO:Uploading model into container now
- 2022-01-18 14:38:41,780:INFO:create_model_container: 1
- 2022-01-18 14:38:41,780:INFO:master_model_container: 1
- 2022-01-18 14:38:41,780:INFO:display_container: 2
- 2022-01-18 14:38:41,781:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=3582, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 14:38:41,781:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:41,891:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:41,892:INFO:Creating metrics dataframe
- 2022-01-18 14:38:41,901:INFO:Initializing K Neighbors Classifier
- 2022-01-18 14:38:41,901:INFO:Total runtime is 0.2816558917363485 minutes
- 2022-01-18 14:38:41,907:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:41,907:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:41,907:INFO:Checking exceptions
- 2022-01-18 14:38:41,907:INFO:Importing libraries
- 2022-01-18 14:38:41,908:INFO:Copying training dataset
- 2022-01-18 14:38:41,909:INFO:Defining folds
- 2022-01-18 14:38:41,909:INFO:Declaring metric variables
- 2022-01-18 14:38:41,913:INFO:Importing untrained model
- 2022-01-18 14:38:41,919:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 14:38:41,929:INFO:Starting cross validation
- 2022-01-18 14:38:41,929:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:49,643:INFO:Calculating mean and std
- 2022-01-18 14:38:49,644:INFO:Creating metrics dataframe
- 2022-01-18 14:38:49,647:INFO:Uploading results into container
- 2022-01-18 14:38:49,647:INFO:Uploading model into container now
- 2022-01-18 14:38:49,648:INFO:create_model_container: 2
- 2022-01-18 14:38:49,648:INFO:master_model_container: 2
- 2022-01-18 14:38:49,648:INFO:display_container: 2
- 2022-01-18 14:38:49,648:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 14:38:49,648:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:49,728:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:49,728:INFO:Creating metrics dataframe
- 2022-01-18 14:38:49,739:INFO:Initializing Naive Bayes
- 2022-01-18 14:38:49,739:INFO:Total runtime is 0.4122879465421041 minutes
- 2022-01-18 14:38:49,744:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:49,745:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:49,745:INFO:Checking exceptions
- 2022-01-18 14:38:49,745:INFO:Importing libraries
- 2022-01-18 14:38:49,745:INFO:Copying training dataset
- 2022-01-18 14:38:49,747:INFO:Defining folds
- 2022-01-18 14:38:49,747:INFO:Declaring metric variables
- 2022-01-18 14:38:49,752:INFO:Importing untrained model
- 2022-01-18 14:38:49,757:INFO:Naive Bayes Imported succesfully
- 2022-01-18 14:38:49,767:INFO:Starting cross validation
- 2022-01-18 14:38:49,767:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:50,052:INFO:Calculating mean and std
- 2022-01-18 14:38:50,052:INFO:Creating metrics dataframe
- 2022-01-18 14:38:50,055:INFO:Uploading results into container
- 2022-01-18 14:38:50,055:INFO:Uploading model into container now
- 2022-01-18 14:38:50,055:INFO:create_model_container: 3
- 2022-01-18 14:38:50,055:INFO:master_model_container: 3
- 2022-01-18 14:38:50,056:INFO:display_container: 2
- 2022-01-18 14:38:50,056:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 14:38:50,056:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:50,127:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:50,128:INFO:Creating metrics dataframe
- 2022-01-18 14:38:50,138:INFO:Initializing Decision Tree Classifier
- 2022-01-18 14:38:50,139:INFO:Total runtime is 0.4189460674921672 minutes
- 2022-01-18 14:38:50,144:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:50,144:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:50,144:INFO:Checking exceptions
- 2022-01-18 14:38:50,145:INFO:Importing libraries
- 2022-01-18 14:38:50,145:INFO:Copying training dataset
- 2022-01-18 14:38:50,146:INFO:Defining folds
- 2022-01-18 14:38:50,146:INFO:Declaring metric variables
- 2022-01-18 14:38:50,151:INFO:Importing untrained model
- 2022-01-18 14:38:50,156:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:38:50,167:INFO:Starting cross validation
- 2022-01-18 14:38:50,167:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:52,978:INFO:Calculating mean and std
- 2022-01-18 14:38:52,979:INFO:Creating metrics dataframe
- 2022-01-18 14:38:52,982:INFO:Uploading results into container
- 2022-01-18 14:38:52,982:INFO:Uploading model into container now
- 2022-01-18 14:38:52,982:INFO:create_model_container: 4
- 2022-01-18 14:38:52,982:INFO:master_model_container: 4
- 2022-01-18 14:38:52,982:INFO:display_container: 2
- 2022-01-18 14:38:52,983:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best')
- 2022-01-18 14:38:52,983:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:53,057:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:53,058:INFO:Creating metrics dataframe
- 2022-01-18 14:38:53,069:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 14:38:53,069:INFO:Total runtime is 0.4677824258804322 minutes
- 2022-01-18 14:38:53,074:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:53,074:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:53,075:INFO:Checking exceptions
- 2022-01-18 14:38:53,075:INFO:Importing libraries
- 2022-01-18 14:38:53,075:INFO:Copying training dataset
- 2022-01-18 14:38:53,076:INFO:Defining folds
- 2022-01-18 14:38:53,076:INFO:Declaring metric variables
- 2022-01-18 14:38:53,081:INFO:Importing untrained model
- 2022-01-18 14:38:53,086:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 14:38:53,098:INFO:Starting cross validation
- 2022-01-18 14:38:53,098:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:55,192:INFO:Calculating mean and std
- 2022-01-18 14:38:55,193:INFO:Creating metrics dataframe
- 2022-01-18 14:38:55,197:INFO:Uploading results into container
- 2022-01-18 14:38:55,199:INFO:Uploading model into container now
- 2022-01-18 14:38:55,201:INFO:create_model_container: 5
- 2022-01-18 14:38:55,204:INFO:master_model_container: 5
- 2022-01-18 14:38:55,205:INFO:display_container: 2
- 2022-01-18 14:38:55,208:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=3582, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 14:38:55,209:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:55,296:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:55,296:INFO:Creating metrics dataframe
- 2022-01-18 14:38:55,308:INFO:Initializing Ridge Classifier
- 2022-01-18 14:38:55,308:INFO:Total runtime is 0.5051049113273621 minutes
- 2022-01-18 14:38:55,314:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:55,314:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:55,314:INFO:Checking exceptions
- 2022-01-18 14:38:55,315:INFO:Importing libraries
- 2022-01-18 14:38:55,315:INFO:Copying training dataset
- 2022-01-18 14:38:55,316:INFO:Defining folds
- 2022-01-18 14:38:55,317:INFO:Declaring metric variables
- 2022-01-18 14:38:55,322:INFO:Importing untrained model
- 2022-01-18 14:38:55,327:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 14:38:55,338:INFO:Starting cross validation
- 2022-01-18 14:38:55,338:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:38:56,106:INFO:Calculating mean and std
- 2022-01-18 14:38:56,107:INFO:Creating metrics dataframe
- 2022-01-18 14:38:56,111:INFO:Uploading results into container
- 2022-01-18 14:38:56,112:INFO:Uploading model into container now
- 2022-01-18 14:38:56,113:INFO:create_model_container: 6
- 2022-01-18 14:38:56,113:INFO:master_model_container: 6
- 2022-01-18 14:38:56,113:INFO:display_container: 2
- 2022-01-18 14:38:56,114:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=3582,
- solver='auto', tol=0.001)
- 2022-01-18 14:38:56,114:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:38:56,216:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:38:56,217:INFO:Creating metrics dataframe
- 2022-01-18 14:38:56,228:INFO:Initializing Random Forest Classifier
- 2022-01-18 14:38:56,228:INFO:Total runtime is 0.5204451243082683 minutes
- 2022-01-18 14:38:56,234:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:38:56,234:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:38:56,234:INFO:Checking exceptions
- 2022-01-18 14:38:56,235:INFO:Importing libraries
- 2022-01-18 14:38:56,235:INFO:Copying training dataset
- 2022-01-18 14:38:56,236:INFO:Defining folds
- 2022-01-18 14:38:56,237:INFO:Declaring metric variables
- 2022-01-18 14:38:56,241:INFO:Importing untrained model
- 2022-01-18 14:38:56,246:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:38:56,255:INFO:Starting cross validation
- 2022-01-18 14:38:56,256:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:39:03,247:INFO:Calculating mean and std
- 2022-01-18 14:39:03,248:INFO:Creating metrics dataframe
- 2022-01-18 14:39:03,251:INFO:Uploading results into container
- 2022-01-18 14:39:03,251:INFO:Uploading model into container now
- 2022-01-18 14:39:03,251:INFO:create_model_container: 7
- 2022-01-18 14:39:03,252:INFO:master_model_container: 7
- 2022-01-18 14:39:03,252:INFO:display_container: 2
- 2022-01-18 14:39:03,252:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:39:03,252:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:39:03,329:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:39:03,329:INFO:Creating metrics dataframe
- 2022-01-18 14:39:03,341:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 14:39:03,341:INFO:Total runtime is 0.6389830907185873 minutes
- 2022-01-18 14:39:03,346:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:39:03,346:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:39:03,347:INFO:Checking exceptions
- 2022-01-18 14:39:03,347:INFO:Importing libraries
- 2022-01-18 14:39:03,347:INFO:Copying training dataset
- 2022-01-18 14:39:03,348:INFO:Defining folds
- 2022-01-18 14:39:03,348:INFO:Declaring metric variables
- 2022-01-18 14:39:03,354:INFO:Importing untrained model
- 2022-01-18 14:39:03,359:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 14:39:03,369:INFO:Starting cross validation
- 2022-01-18 14:39:03,370:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:39:04,734:INFO:Calculating mean and std
- 2022-01-18 14:39:04,735:INFO:Creating metrics dataframe
- 2022-01-18 14:39:04,745:INFO:Uploading results into container
- 2022-01-18 14:39:04,746:INFO:Uploading model into container now
- 2022-01-18 14:39:04,749:INFO:create_model_container: 8
- 2022-01-18 14:39:04,749:INFO:master_model_container: 8
- 2022-01-18 14:39:04,749:INFO:display_container: 2
- 2022-01-18 14:39:04,750:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 14:39:04,750:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:39:04,833:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:39:04,833:INFO:Creating metrics dataframe
- 2022-01-18 14:39:04,845:INFO:Initializing Ada Boost Classifier
- 2022-01-18 14:39:04,845:INFO:Total runtime is 0.6640598138173421 minutes
- 2022-01-18 14:39:04,851:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:39:04,851:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:39:04,852:INFO:Checking exceptions
- 2022-01-18 14:39:04,852:INFO:Importing libraries
- 2022-01-18 14:39:04,852:INFO:Copying training dataset
- 2022-01-18 14:39:04,854:INFO:Defining folds
- 2022-01-18 14:39:04,854:INFO:Declaring metric variables
- 2022-01-18 14:39:04,859:INFO:Importing untrained model
- 2022-01-18 14:39:04,864:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 14:39:04,874:INFO:Starting cross validation
- 2022-01-18 14:39:04,875:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:39:17,712:INFO:Calculating mean and std
- 2022-01-18 14:39:17,713:INFO:Creating metrics dataframe
- 2022-01-18 14:39:17,716:INFO:Uploading results into container
- 2022-01-18 14:39:17,716:INFO:Uploading model into container now
- 2022-01-18 14:39:17,716:INFO:create_model_container: 9
- 2022-01-18 14:39:17,716:INFO:master_model_container: 9
- 2022-01-18 14:39:17,716:INFO:display_container: 2
- 2022-01-18 14:39:17,717:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=3582)
- 2022-01-18 14:39:17,717:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:39:17,787:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:39:17,788:INFO:Creating metrics dataframe
- 2022-01-18 14:39:17,800:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 14:39:17,800:INFO:Total runtime is 0.8799694895744323 minutes
- 2022-01-18 14:39:17,805:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:39:17,806:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:39:17,806:INFO:Checking exceptions
- 2022-01-18 14:39:17,806:INFO:Importing libraries
- 2022-01-18 14:39:17,806:INFO:Copying training dataset
- 2022-01-18 14:39:17,808:INFO:Defining folds
- 2022-01-18 14:39:17,808:INFO:Declaring metric variables
- 2022-01-18 14:39:17,813:INFO:Importing untrained model
- 2022-01-18 14:39:17,818:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 14:39:17,828:INFO:Starting cross validation
- 2022-01-18 14:39:17,829:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:11,468:INFO:Calculating mean and std
- 2022-01-18 14:40:11,469:INFO:Creating metrics dataframe
- 2022-01-18 14:40:11,471:INFO:Uploading results into container
- 2022-01-18 14:40:11,471:INFO:Uploading model into container now
- 2022-01-18 14:40:11,472:INFO:create_model_container: 10
- 2022-01-18 14:40:11,472:INFO:master_model_container: 10
- 2022-01-18 14:40:11,472:INFO:display_container: 2
- 2022-01-18 14:40:11,472:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=3582, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 14:40:11,472:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:11,543:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:11,544:INFO:Creating metrics dataframe
- 2022-01-18 14:40:11,556:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 14:40:11,556:INFO:Total runtime is 1.7759081284205118 minutes
- 2022-01-18 14:40:11,562:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:40:11,562:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:40:11,562:INFO:Checking exceptions
- 2022-01-18 14:40:11,562:INFO:Importing libraries
- 2022-01-18 14:40:11,562:INFO:Copying training dataset
- 2022-01-18 14:40:11,564:INFO:Defining folds
- 2022-01-18 14:40:11,564:INFO:Declaring metric variables
- 2022-01-18 14:40:11,569:INFO:Importing untrained model
- 2022-01-18 14:40:11,576:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 14:40:11,586:INFO:Starting cross validation
- 2022-01-18 14:40:11,586:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:14,122:INFO:Calculating mean and std
- 2022-01-18 14:40:14,123:INFO:Creating metrics dataframe
- 2022-01-18 14:40:14,127:INFO:Uploading results into container
- 2022-01-18 14:40:14,131:INFO:Uploading model into container now
- 2022-01-18 14:40:14,132:INFO:create_model_container: 11
- 2022-01-18 14:40:14,132:INFO:master_model_container: 11
- 2022-01-18 14:40:14,132:INFO:display_container: 2
- 2022-01-18 14:40:14,133:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 14:40:14,133:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:14,218:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:14,219:INFO:Creating metrics dataframe
- 2022-01-18 14:40:14,231:INFO:Initializing Extra Trees Classifier
- 2022-01-18 14:40:14,232:INFO:Total runtime is 1.8204961260159809 minutes
- 2022-01-18 14:40:14,237:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:40:14,237:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:40:14,237:INFO:Checking exceptions
- 2022-01-18 14:40:14,238:INFO:Importing libraries
- 2022-01-18 14:40:14,238:INFO:Copying training dataset
- 2022-01-18 14:40:14,239:INFO:Defining folds
- 2022-01-18 14:40:14,239:INFO:Declaring metric variables
- 2022-01-18 14:40:14,244:INFO:Importing untrained model
- 2022-01-18 14:40:14,249:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 14:40:14,259:INFO:Starting cross validation
- 2022-01-18 14:40:14,260:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:21,111:INFO:Calculating mean and std
- 2022-01-18 14:40:21,112:INFO:Creating metrics dataframe
- 2022-01-18 14:40:21,115:INFO:Uploading results into container
- 2022-01-18 14:40:21,115:INFO:Uploading model into container now
- 2022-01-18 14:40:21,115:INFO:create_model_container: 12
- 2022-01-18 14:40:21,115:INFO:master_model_container: 12
- 2022-01-18 14:40:21,115:INFO:display_container: 2
- 2022-01-18 14:40:21,116:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:40:21,116:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:21,201:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:21,201:INFO:Creating metrics dataframe
- 2022-01-18 14:40:21,214:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 14:40:21,214:INFO:Total runtime is 1.936876054604848 minutes
- 2022-01-18 14:40:21,220:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:40:21,220:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:40:21,221:INFO:Checking exceptions
- 2022-01-18 14:40:21,221:INFO:Importing libraries
- 2022-01-18 14:40:21,221:INFO:Copying training dataset
- 2022-01-18 14:40:21,222:INFO:Defining folds
- 2022-01-18 14:40:21,223:INFO:Declaring metric variables
- 2022-01-18 14:40:21,228:INFO:Importing untrained model
- 2022-01-18 14:40:21,232:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 14:40:21,242:INFO:Starting cross validation
- 2022-01-18 14:40:21,243:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:26,314:INFO:Calculating mean and std
- 2022-01-18 14:40:26,315:INFO:Creating metrics dataframe
- 2022-01-18 14:40:26,318:INFO:Uploading results into container
- 2022-01-18 14:40:26,318:INFO:Uploading model into container now
- 2022-01-18 14:40:26,318:INFO:create_model_container: 13
- 2022-01-18 14:40:26,319:INFO:master_model_container: 13
- 2022-01-18 14:40:26,319:INFO:display_container: 2
- 2022-01-18 14:40:26,319:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=3582, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 14:40:26,319:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:26,390:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:26,390:INFO:Creating metrics dataframe
- 2022-01-18 14:40:26,404:INFO:Initializing Dummy Classifier
- 2022-01-18 14:40:26,404:INFO:Total runtime is 2.023368187745412 minutes
- 2022-01-18 14:40:26,409:INFO:SubProcess create_model() called ==================================
- 2022-01-18 14:40:26,409:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:40:26,410:INFO:Checking exceptions
- 2022-01-18 14:40:26,410:INFO:Importing libraries
- 2022-01-18 14:40:26,410:INFO:Copying training dataset
- 2022-01-18 14:40:26,411:INFO:Defining folds
- 2022-01-18 14:40:26,411:INFO:Declaring metric variables
- 2022-01-18 14:40:26,416:INFO:Importing untrained model
- 2022-01-18 14:40:26,421:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 14:40:26,431:INFO:Starting cross validation
- 2022-01-18 14:40:26,432:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:40:26,555:INFO:Calculating mean and std
- 2022-01-18 14:40:26,556:INFO:Creating metrics dataframe
- 2022-01-18 14:40:26,559:INFO:Uploading results into container
- 2022-01-18 14:40:26,559:INFO:Uploading model into container now
- 2022-01-18 14:40:26,559:INFO:create_model_container: 14
- 2022-01-18 14:40:26,559:INFO:master_model_container: 14
- 2022-01-18 14:40:26,559:INFO:display_container: 2
- 2022-01-18 14:40:26,560:INFO:DummyClassifier(constant=None, random_state=3582, strategy='prior')
- 2022-01-18 14:40:26,560:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:40:26,648:INFO:SubProcess create_model() end ==================================
- 2022-01-18 14:40:26,649:INFO:Creating metrics dataframe
- 2022-01-18 14:40:26,675:INFO:Initializing create_model()
- 2022-01-18 14:40:26,676:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- 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={})
- 2022-01-18 14:40:26,676:INFO:Checking exceptions
- 2022-01-18 14:40:26,676:INFO:Importing libraries
- 2022-01-18 14:40:26,676:INFO:Copying training dataset
- 2022-01-18 14:40:26,677:INFO:Defining folds
- 2022-01-18 14:40:26,678:INFO:Declaring metric variables
- 2022-01-18 14:40:26,678:INFO:Importing untrained model
- 2022-01-18 14:40:26,678:INFO:Declaring custom model
- 2022-01-18 14:40:26,678:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:40:26,679:INFO:Cross validation set to False
- 2022-01-18 14:40:26,679:INFO:Fitting Model
- 2022-01-18 14:40:27,072:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:40:27,073:INFO:create_models() succesfully completed......................................
- 2022-01-18 14:40:27,175:INFO:create_model_container: 14
- 2022-01-18 14:40:27,175:INFO:master_model_container: 14
- 2022-01-18 14:40:27,175:INFO:display_container: 2
- 2022-01-18 14:40:27,176:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:40:27,176:INFO:compare_models() succesfully completed......................................
- 2022-01-18 14:41:08,681:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:41:08,682:INFO:Checking exceptions
- 2022-01-18 14:41:08,682:INFO:Preparing display monitor
- 2022-01-18 14:41:08,694:INFO:Importing libraries
- 2022-01-18 14:41:08,694:INFO:Copying training dataset
- 2022-01-18 14:41:08,695:INFO:Defining folds
- 2022-01-18 14:41:08,696:INFO:Declaring metric variables
- 2022-01-18 14:41:08,701:INFO:Importing untrained model
- 2022-01-18 14:41:08,706:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 14:41:08,716:INFO:Starting cross validation
- 2022-01-18 14:41:08,717:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:41:11,604:INFO:Calculating mean and std
- 2022-01-18 14:41:11,605:INFO:Creating metrics dataframe
- 2022-01-18 14:41:11,612:INFO:Finalizing model
- 2022-01-18 14:41:11,926:INFO:Uploading results into container
- 2022-01-18 14:41:11,926:INFO:Uploading model into container now
- 2022-01-18 14:41:11,936:INFO:create_model_container: 15
- 2022-01-18 14:41:11,937:INFO:master_model_container: 15
- 2022-01-18 14:41:11,937:INFO:display_container: 3
- 2022-01-18 14:41:11,937:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best')
- 2022-01-18 14:41:11,937:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:41:22,556:INFO:Initializing evaluate_model()
- 2022-01-18 14:41:22,556:INFO:evaluate_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best'), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-18 14:41:22,567:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:41:22,568:INFO:Checking exceptions
- 2022-01-18 14:41:22,569:INFO:Preparing display monitor
- 2022-01-18 14:41:22,573:INFO:Preloading libraries
- 2022-01-18 14:41:22,574:INFO:Copying training dataset
- 2022-01-18 14:41:22,575:INFO:Copying test dataset
- 2022-01-18 14:41:22,576:INFO:Plot type: parameter
- 2022-01-18 14:41:22,580:INFO:Visual Rendered Successfully
- 2022-01-18 14:41:22,662:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:41:24,609:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=3582, splitter='best'), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:41:24,610:INFO:Checking exceptions
- 2022-01-18 14:41:24,610:INFO:Preparing display monitor
- 2022-01-18 14:41:24,614:INFO:Preloading libraries
- 2022-01-18 14:41:24,615:INFO:Copying training dataset
- 2022-01-18 14:41:24,616:INFO:Copying test dataset
- 2022-01-18 14:41:24,617:INFO:Plot type: auc
- 2022-01-18 14:41:24,618:INFO:Initializing get_config()
- 2022-01-18 14:41:24,618:INFO:get_config(variable=prep_pipe)
- 2022-01-18 14:41:24,622:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply'],
- ml_usecase='classification', n_jobs=-1,
- random_state=3582, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 14:41:24,622:INFO:get_config() succesfully completed......................................
- 2022-01-18 14:41:24,623:INFO:Fitting Model
- 2022-01-18 14:41:24,624:INFO:Scoring test/hold-out set
- 2022-01-18 14:41:24,726:INFO:Visual Rendered Successfully
- 2022-01-18 14:41:24,803:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:41:27,522:INFO:Initializing plot_model()
- 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',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-18 14:41:27,523:INFO:Checking exceptions
- 2022-01-18 14:41:27,524:INFO:Preparing display monitor
- 2022-01-18 14:41:27,528:INFO:Preloading libraries
- 2022-01-18 14:41:27,530:INFO:Copying training dataset
- 2022-01-18 14:41:27,531:INFO:Copying test dataset
- 2022-01-18 14:41:27,532:INFO:Plot type: feature_all
- 2022-01-18 14:41:27,533:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-18 14:41:28,026:INFO:Visual Rendered Successfully
- 2022-01-18 14:41:28,106:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:42:20,889:INFO:Initializing create_model()
- 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={})
- 2022-01-18 14:42:20,889:INFO:Checking exceptions
- 2022-01-18 14:42:20,889:INFO:Preparing display monitor
- 2022-01-18 14:42:20,901:INFO:Importing libraries
- 2022-01-18 14:42:20,901:INFO:Copying training dataset
- 2022-01-18 14:42:20,903:INFO:Defining folds
- 2022-01-18 14:42:20,903:INFO:Declaring metric variables
- 2022-01-18 14:42:20,908:INFO:Importing untrained model
- 2022-01-18 14:42:20,913:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 14:42:20,925:INFO:Starting cross validation
- 2022-01-18 14:42:20,926:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 14:42:27,863:INFO:Calculating mean and std
- 2022-01-18 14:42:27,864:INFO:Creating metrics dataframe
- 2022-01-18 14:42:27,872:INFO:Finalizing model
- 2022-01-18 14:42:28,265:INFO:Uploading results into container
- 2022-01-18 14:42:28,266:INFO:Uploading model into container now
- 2022-01-18 14:42:28,276:INFO:create_model_container: 16
- 2022-01-18 14:42:28,277:INFO:master_model_container: 16
- 2022-01-18 14:42:28,277:INFO:display_container: 4
- 2022-01-18 14:42:28,277:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 14:42:28,278:INFO:create_model() succesfully completed......................................
- 2022-01-18 14:42:33,938:INFO:Initializing evaluate_model()
- 2022-01-18 14:42:33,938:INFO:evaluate_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-01-18 14:42:33,949:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:42:33,949:INFO:Checking exceptions
- 2022-01-18 14:42:33,965:INFO:Preparing display monitor
- 2022-01-18 14:42:33,970:INFO:Preloading libraries
- 2022-01-18 14:42:33,980:INFO:Copying training dataset
- 2022-01-18 14:42:33,981:INFO:Copying test dataset
- 2022-01-18 14:42:33,982:INFO:Plot type: parameter
- 2022-01-18 14:42:34,017:INFO:Visual Rendered Successfully
- 2022-01-18 14:42:34,097:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:42:36,916:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:42:36,917:INFO:Checking exceptions
- 2022-01-18 14:42:36,933:INFO:Preparing display monitor
- 2022-01-18 14:42:36,938:INFO:Preloading libraries
- 2022-01-18 14:42:36,947:INFO:Copying training dataset
- 2022-01-18 14:42:36,948:INFO:Copying test dataset
- 2022-01-18 14:42:36,949:INFO:Plot type: feature
- 2022-01-18 14:42:36,977:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-18 14:42:37,076:INFO:Visual Rendered Successfully
- 2022-01-18 14:42:37,151:INFO:plot_model() succesfully completed......................................
- 2022-01-18 14:42:46,976:INFO:Initializing plot_model()
- 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,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature_all, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-01-18 14:42:46,977:INFO:Checking exceptions
- 2022-01-18 14:42:46,993:INFO:Preparing display monitor
- 2022-01-18 14:42:46,998:INFO:Preloading libraries
- 2022-01-18 14:42:47,008:INFO:Copying training dataset
- 2022-01-18 14:42:47,009:INFO:Copying test dataset
- 2022-01-18 14:42:47,010:INFO:Plot type: feature_all
- 2022-01-18 14:42:47,043:WARNING:No coef_ found. Trying feature_importances_
- 2022-01-18 14:42:47,566:INFO:Visual Rendered Successfully
- 2022-01-18 14:42:47,648:INFO:plot_model() succesfully completed......................................
- 2022-01-18 15:11:14,651:INFO:Initializing tune_model()
- 2022-01-18 15:11:14,651:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- 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={})
- 2022-01-18 15:11:14,652:INFO:Checking exceptions
- 2022-01-18 15:11:14,653:INFO:Preparing display monitor
- 2022-01-18 15:11:14,663:INFO:Copying training dataset
- 2022-01-18 15:11:14,664:INFO:Checking base model
- 2022-01-18 15:11:14,665:INFO:Base model : Random Forest Classifier
- 2022-01-18 15:11:14,670:INFO:Declaring metric variables
- 2022-01-18 15:11:14,675:INFO:Defining Hyperparameters
- 2022-01-18 15:11:14,757:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:11:14,757:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:11:53,324:INFO:Hyperparameter search completed
- 2022-01-18 15:11:53,324:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:11:53,325:INFO:Initializing create_model()
- 2022-01-18 15:11:53,325:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=3582, 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 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})
- 2022-01-18 15:11:53,325:INFO:Checking exceptions
- 2022-01-18 15:11:53,325:INFO:Importing libraries
- 2022-01-18 15:11:53,325:INFO:Copying training dataset
- 2022-01-18 15:11:53,328:INFO:Defining folds
- 2022-01-18 15:11:53,328:INFO:Declaring metric variables
- 2022-01-18 15:11:53,334:INFO:Importing untrained model
- 2022-01-18 15:11:53,334:INFO:Declaring custom model
- 2022-01-18 15:11:53,340:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:11:53,351:INFO:Starting cross validation
- 2022-01-18 15:11:53,352:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:12:14,789:INFO:Calculating mean and std
- 2022-01-18 15:12:14,790:INFO:Creating metrics dataframe
- 2022-01-18 15:12:14,797:INFO:Finalizing model
- 2022-01-18 15:12:16,314:INFO:Uploading results into container
- 2022-01-18 15:12:16,315:INFO:Uploading model into container now
- 2022-01-18 15:12:16,315:INFO:create_model_container: 17
- 2022-01-18 15:12:16,315:INFO:master_model_container: 17
- 2022-01-18 15:12:16,315:INFO:display_container: 5
- 2022-01-18 15:12:16,316:INFO:RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='gini', max_depth=11, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, n_estimators=240,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 15:12:16,316:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:12:16,412:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:12:16,423:INFO:create_model_container: 17
- 2022-01-18 15:12:16,423:INFO:master_model_container: 17
- 2022-01-18 15:12:16,423:INFO:display_container: 5
- 2022-01-18 15:12:16,424:INFO:RandomForestClassifier(bootstrap=False, ccp_alpha=0.0, class_weight={},
- criterion='gini', max_depth=11, max_features=1.0,
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=2, min_samples_split=5,
- min_weight_fraction_leaf=0.0, n_estimators=240,
- n_jobs=-1, oob_score=False, random_state=3582, verbose=0,
- warm_start=False)
- 2022-01-18 15:12:16,424:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:13:14,147:INFO:PyCaret Supervised Module
- 2022-01-18 15:13:14,148:INFO:ML Usecase: classification
- 2022-01-18 15:13:14,148:INFO:version 2.3.6
- 2022-01-18 15:13:14,148:INFO:Initializing setup()
- 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)
- 2022-01-18 15:13:14,148:INFO:Checking environment
- 2022-01-18 15:13:14,149:INFO:python_version: 3.8.8
- 2022-01-18 15:13:14,149:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:13:14,149:INFO:machine: x86_64
- 2022-01-18 15:13:14,149:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:13:14,150:INFO:Physical Core: 16
- 2022-01-18 15:13:14,150:INFO:Logical Core: 32
- 2022-01-18 15:13:14,150:INFO:Checking libraries
- 2022-01-18 15:13:14,150:INFO:pd==1.2.4
- 2022-01-18 15:13:14,151:INFO:numpy==1.19.5
- 2022-01-18 15:13:14,151:INFO:sklearn==0.23.2
- 2022-01-18 15:13:14,151:INFO:lightgbm==3.3.2
- 2022-01-18 15:13:14,151:WARNING:catboost not found
- 2022-01-18 15:13:14,152:WARNING:xgboost not found
- 2022-01-18 15:13:14,152:INFO:mlflow==1.22.0
- 2022-01-18 15:13:14,152:INFO:Checking Exceptions
- 2022-01-18 15:13:14,153:INFO:Declaring global variables
- 2022-01-18 15:13:14,153:INFO:USI: c638
- 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'}
- 2022-01-18 15:13:14,153:INFO:Preparing display monitor
- 2022-01-18 15:13:14,153:INFO:Preparing display monitor
- 2022-01-18 15:13:14,161:INFO:Importing libraries
- 2022-01-18 15:13:14,161:INFO:Copying data for preprocessing
- 2022-01-18 15:13:14,166:INFO:Declaring preprocessing parameters
- 2022-01-18 15:13:14,167:WARNING:cuML not found
- 2022-01-18 15:13:14,168:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:13:14,171:INFO:Creating preprocessing pipeline
- 2022-01-18 15:13:14,202:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:13:14,202:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:13:14,202:INFO:Creating global containers
- 2022-01-18 15:13:14,203:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:13:19,745:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:13:19,775:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:13:19,776:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:13:19,776:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:13:19,791:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:13:19,795:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:13:19,796:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:13:19,799:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:13:19,799:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:13:19,830:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:13:19,831:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:13:19,832:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:13:19,847:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:13:19,850:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:13:19,852:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:13:19,856:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:13:19,857:INFO:Creating grid variables
- 2022-01-18 15:13:19,870:INFO:create_model_container: 0
- 2022-01-18 15:13:19,871:INFO:master_model_container: 0
- 2022-01-18 15:13:19,871:INFO:display_container: 1
- 2022-01-18 15:13:19,874:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=654, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:13:19,874:INFO:setup() succesfully completed......................................
- 2022-01-18 15:13:54,849:INFO:PyCaret Supervised Module
- 2022-01-18 15:13:54,850:INFO:ML Usecase: classification
- 2022-01-18 15:13:54,850:INFO:version 2.3.6
- 2022-01-18 15:13:54,850:INFO:Initializing setup()
- 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)
- 2022-01-18 15:13:54,851:INFO:Checking environment
- 2022-01-18 15:13:54,851:INFO:python_version: 3.8.8
- 2022-01-18 15:13:54,851:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:13:54,851:INFO:machine: x86_64
- 2022-01-18 15:13:54,851:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:13:54,852:INFO:Physical Core: 16
- 2022-01-18 15:13:54,852:INFO:Logical Core: 32
- 2022-01-18 15:13:54,852:INFO:Checking libraries
- 2022-01-18 15:13:54,853:INFO:pd==1.2.4
- 2022-01-18 15:13:54,853:INFO:numpy==1.19.5
- 2022-01-18 15:13:54,853:INFO:sklearn==0.23.2
- 2022-01-18 15:13:54,853:INFO:lightgbm==3.3.2
- 2022-01-18 15:13:54,853:WARNING:catboost not found
- 2022-01-18 15:13:54,854:WARNING:xgboost not found
- 2022-01-18 15:13:54,854:INFO:mlflow==1.22.0
- 2022-01-18 15:13:54,854:INFO:Checking Exceptions
- 2022-01-18 15:13:54,854:INFO:Declaring global variables
- 2022-01-18 15:13:54,854:INFO:USI: 3c9d
- 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'}
- 2022-01-18 15:13:54,855:INFO:Preparing display monitor
- 2022-01-18 15:13:54,855:INFO:Preparing display monitor
- 2022-01-18 15:13:54,862:INFO:Importing libraries
- 2022-01-18 15:13:54,862:INFO:Copying data for preprocessing
- 2022-01-18 15:13:54,868:INFO:Declaring preprocessing parameters
- 2022-01-18 15:13:54,869:WARNING:cuML not found
- 2022-01-18 15:13:54,869:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:13:54,872:INFO:Creating preprocessing pipeline
- 2022-01-18 15:13:54,901:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:13:54,901:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:13:54,902:INFO:Creating global containers
- 2022-01-18 15:13:54,902:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:13:59,373:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:13:59,401:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:13:59,402:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:13:59,403:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:13:59,417:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:13:59,421:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:13:59,422:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:13:59,425:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:13:59,426:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:13:59,458:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:13:59,459:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:13:59,460:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:13:59,474:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:13:59,477:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:13:59,479:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:13:59,484:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:13:59,485:INFO:Creating grid variables
- 2022-01-18 15:13:59,498:INFO:create_model_container: 0
- 2022-01-18 15:13:59,499:INFO:master_model_container: 0
- 2022-01-18 15:13:59,499:INFO:display_container: 1
- 2022-01-18 15:13:59,502:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=4084, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:13:59,502:INFO:setup() succesfully completed......................................
- 2022-01-18 15:14:05,396:INFO:Initializing compare_models()
- 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)
- 2022-01-18 15:14:05,397:INFO:Checking exceptions
- 2022-01-18 15:14:05,398:INFO:Preparing display monitor
- 2022-01-18 15:14:05,398:INFO:Preparing display monitor
- 2022-01-18 15:14:05,414:INFO:Initializing Logistic Regression
- 2022-01-18 15:14:05,414:INFO:Total runtime is 5.638599395751953e-06 minutes
- 2022-01-18 15:14:05,420:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:05,420:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:05,421:INFO:Checking exceptions
- 2022-01-18 15:14:05,421:INFO:Importing libraries
- 2022-01-18 15:14:05,421:INFO:Copying training dataset
- 2022-01-18 15:14:05,423:INFO:Defining folds
- 2022-01-18 15:14:05,423:INFO:Declaring metric variables
- 2022-01-18 15:14:05,428:INFO:Importing untrained model
- 2022-01-18 15:14:05,433:INFO:Logistic Regression Imported succesfully
- 2022-01-18 15:14:05,443:INFO:Starting cross validation
- 2022-01-18 15:14:05,444:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:41,073:INFO:Calculating mean and std
- 2022-01-18 15:14:41,074:INFO:Creating metrics dataframe
- 2022-01-18 15:14:41,080:INFO:Uploading results into container
- 2022-01-18 15:14:41,081:INFO:Uploading model into container now
- 2022-01-18 15:14:41,083:INFO:create_model_container: 1
- 2022-01-18 15:14:41,087:INFO:master_model_container: 1
- 2022-01-18 15:14:41,087:INFO:display_container: 2
- 2022-01-18 15:14:41,088:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4084, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 15:14:41,088:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:41,176:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:41,176:INFO:Creating metrics dataframe
- 2022-01-18 15:14:41,186:INFO:Initializing K Neighbors Classifier
- 2022-01-18 15:14:41,186:INFO:Total runtime is 0.5961978197097778 minutes
- 2022-01-18 15:14:41,191:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:41,191:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:41,192:INFO:Checking exceptions
- 2022-01-18 15:14:41,192:INFO:Importing libraries
- 2022-01-18 15:14:41,192:INFO:Copying training dataset
- 2022-01-18 15:14:41,193:INFO:Defining folds
- 2022-01-18 15:14:41,194:INFO:Declaring metric variables
- 2022-01-18 15:14:41,198:INFO:Importing untrained model
- 2022-01-18 15:14:41,203:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:14:41,213:INFO:Starting cross validation
- 2022-01-18 15:14:41,214:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:47,283:INFO:Calculating mean and std
- 2022-01-18 15:14:47,284:INFO:Creating metrics dataframe
- 2022-01-18 15:14:47,287:INFO:Uploading results into container
- 2022-01-18 15:14:47,287:INFO:Uploading model into container now
- 2022-01-18 15:14:47,287:INFO:create_model_container: 2
- 2022-01-18 15:14:47,288:INFO:master_model_container: 2
- 2022-01-18 15:14:47,288:INFO:display_container: 2
- 2022-01-18 15:14:47,288:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:14:47,288:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:47,362:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:47,363:INFO:Creating metrics dataframe
- 2022-01-18 15:14:47,373:INFO:Initializing Naive Bayes
- 2022-01-18 15:14:47,373:INFO:Total runtime is 0.6993180314699808 minutes
- 2022-01-18 15:14:47,378:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:47,379:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:47,379:INFO:Checking exceptions
- 2022-01-18 15:14:47,379:INFO:Importing libraries
- 2022-01-18 15:14:47,379:INFO:Copying training dataset
- 2022-01-18 15:14:47,381:INFO:Defining folds
- 2022-01-18 15:14:47,381:INFO:Declaring metric variables
- 2022-01-18 15:14:47,387:INFO:Importing untrained model
- 2022-01-18 15:14:47,391:INFO:Naive Bayes Imported succesfully
- 2022-01-18 15:14:47,401:INFO:Starting cross validation
- 2022-01-18 15:14:47,402:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:47,721:INFO:Calculating mean and std
- 2022-01-18 15:14:47,722:INFO:Creating metrics dataframe
- 2022-01-18 15:14:47,725:INFO:Uploading results into container
- 2022-01-18 15:14:47,725:INFO:Uploading model into container now
- 2022-01-18 15:14:47,725:INFO:create_model_container: 3
- 2022-01-18 15:14:47,725:INFO:master_model_container: 3
- 2022-01-18 15:14:47,726:INFO:display_container: 2
- 2022-01-18 15:14:47,726:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 15:14:47,726:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:47,799:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:47,799:INFO:Creating metrics dataframe
- 2022-01-18 15:14:47,810:INFO:Initializing Decision Tree Classifier
- 2022-01-18 15:14:47,810:INFO:Total runtime is 0.7066030661265055 minutes
- 2022-01-18 15:14:47,815:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:47,816:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:47,816:INFO:Checking exceptions
- 2022-01-18 15:14:47,816:INFO:Importing libraries
- 2022-01-18 15:14:47,816:INFO:Copying training dataset
- 2022-01-18 15:14:47,818:INFO:Defining folds
- 2022-01-18 15:14:47,818:INFO:Declaring metric variables
- 2022-01-18 15:14:47,824:INFO:Importing untrained model
- 2022-01-18 15:14:47,829:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:14:47,840:INFO:Starting cross validation
- 2022-01-18 15:14:47,841:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:50,645:INFO:Calculating mean and std
- 2022-01-18 15:14:50,646:INFO:Creating metrics dataframe
- 2022-01-18 15:14:50,648:INFO:Uploading results into container
- 2022-01-18 15:14:50,649:INFO:Uploading model into container now
- 2022-01-18 15:14:50,649:INFO:create_model_container: 4
- 2022-01-18 15:14:50,649:INFO:master_model_container: 4
- 2022-01-18 15:14:50,649:INFO:display_container: 2
- 2022-01-18 15:14:50,650:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4084, splitter='best')
- 2022-01-18 15:14:50,650:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:50,721:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:50,721:INFO:Creating metrics dataframe
- 2022-01-18 15:14:50,732:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 15:14:50,733:INFO:Total runtime is 0.7553091088930766 minutes
- 2022-01-18 15:14:50,738:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:50,739:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:50,739:INFO:Checking exceptions
- 2022-01-18 15:14:50,739:INFO:Importing libraries
- 2022-01-18 15:14:50,740:INFO:Copying training dataset
- 2022-01-18 15:14:50,741:INFO:Defining folds
- 2022-01-18 15:14:50,742:INFO:Declaring metric variables
- 2022-01-18 15:14:50,747:INFO:Importing untrained model
- 2022-01-18 15:14:50,753:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 15:14:50,764:INFO:Starting cross validation
- 2022-01-18 15:14:50,765:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:52,948:INFO:Calculating mean and std
- 2022-01-18 15:14:52,949:INFO:Creating metrics dataframe
- 2022-01-18 15:14:52,953:INFO:Uploading results into container
- 2022-01-18 15:14:52,954:INFO:Uploading model into container now
- 2022-01-18 15:14:52,955:INFO:create_model_container: 5
- 2022-01-18 15:14:52,960:INFO:master_model_container: 5
- 2022-01-18 15:14:52,961:INFO:display_container: 2
- 2022-01-18 15:14:52,962:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4084, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 15:14:52,962:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:53,064:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:53,065:INFO:Creating metrics dataframe
- 2022-01-18 15:14:53,077:INFO:Initializing Ridge Classifier
- 2022-01-18 15:14:53,077:INFO:Total runtime is 0.7943800727526347 minutes
- 2022-01-18 15:14:53,082:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:53,082:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:53,083:INFO:Checking exceptions
- 2022-01-18 15:14:53,083:INFO:Importing libraries
- 2022-01-18 15:14:53,083:INFO:Copying training dataset
- 2022-01-18 15:14:53,085:INFO:Defining folds
- 2022-01-18 15:14:53,085:INFO:Declaring metric variables
- 2022-01-18 15:14:53,090:INFO:Importing untrained model
- 2022-01-18 15:14:53,095:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 15:14:53,105:INFO:Starting cross validation
- 2022-01-18 15:14:53,105:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:14:53,722:INFO:Calculating mean and std
- 2022-01-18 15:14:53,723:INFO:Creating metrics dataframe
- 2022-01-18 15:14:53,727:INFO:Uploading results into container
- 2022-01-18 15:14:53,728:INFO:Uploading model into container now
- 2022-01-18 15:14:53,730:INFO:create_model_container: 6
- 2022-01-18 15:14:53,731:INFO:master_model_container: 6
- 2022-01-18 15:14:53,734:INFO:display_container: 2
- 2022-01-18 15:14:53,736:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4084,
- solver='auto', tol=0.001)
- 2022-01-18 15:14:53,736:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:14:53,839:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:14:53,839:INFO:Creating metrics dataframe
- 2022-01-18 15:14:53,851:INFO:Initializing Random Forest Classifier
- 2022-01-18 15:14:53,851:INFO:Total runtime is 0.8072850068410238 minutes
- 2022-01-18 15:14:53,857:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:14:53,857:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:14:53,857:INFO:Checking exceptions
- 2022-01-18 15:14:53,857:INFO:Importing libraries
- 2022-01-18 15:14:53,858:INFO:Copying training dataset
- 2022-01-18 15:14:53,859:INFO:Defining folds
- 2022-01-18 15:14:53,859:INFO:Declaring metric variables
- 2022-01-18 15:14:53,864:INFO:Importing untrained model
- 2022-01-18 15:14:53,869:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:14:53,879:INFO:Starting cross validation
- 2022-01-18 15:14:53,880:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:15:00,996:INFO:Calculating mean and std
- 2022-01-18 15:15:00,997:INFO:Creating metrics dataframe
- 2022-01-18 15:15:00,999:INFO:Uploading results into container
- 2022-01-18 15:15:00,999:INFO:Uploading model into container now
- 2022-01-18 15:15:01,000:INFO:create_model_container: 7
- 2022-01-18 15:15:01,000:INFO:master_model_container: 7
- 2022-01-18 15:15:01,000:INFO:display_container: 2
- 2022-01-18 15:15:01,001:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
- warm_start=False)
- 2022-01-18 15:15:01,001:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:15:01,081:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:15:01,081:INFO:Creating metrics dataframe
- 2022-01-18 15:15:01,092:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 15:15:01,092:INFO:Total runtime is 0.927973997592926 minutes
- 2022-01-18 15:15:01,097:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:15:01,098:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:15:01,098:INFO:Checking exceptions
- 2022-01-18 15:15:01,098:INFO:Importing libraries
- 2022-01-18 15:15:01,098:INFO:Copying training dataset
- 2022-01-18 15:15:01,100:INFO:Defining folds
- 2022-01-18 15:15:01,100:INFO:Declaring metric variables
- 2022-01-18 15:15:01,105:INFO:Importing untrained model
- 2022-01-18 15:15:01,110:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 15:15:01,119:INFO:Starting cross validation
- 2022-01-18 15:15:01,120:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:15:02,652:INFO:Calculating mean and std
- 2022-01-18 15:15:02,653:INFO:Creating metrics dataframe
- 2022-01-18 15:15:02,657:INFO:Uploading results into container
- 2022-01-18 15:15:02,658:INFO:Uploading model into container now
- 2022-01-18 15:15:02,658:INFO:create_model_container: 8
- 2022-01-18 15:15:02,658:INFO:master_model_container: 8
- 2022-01-18 15:15:02,658:INFO:display_container: 2
- 2022-01-18 15:15:02,659:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 15:15:02,659:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:15:02,748:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:15:02,749:INFO:Creating metrics dataframe
- 2022-01-18 15:15:02,761:INFO:Initializing Ada Boost Classifier
- 2022-01-18 15:15:02,761:INFO:Total runtime is 0.9557802319526671 minutes
- 2022-01-18 15:15:02,766:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:15:02,766:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:15:02,767:INFO:Checking exceptions
- 2022-01-18 15:15:02,767:INFO:Importing libraries
- 2022-01-18 15:15:02,767:INFO:Copying training dataset
- 2022-01-18 15:15:02,769:INFO:Defining folds
- 2022-01-18 15:15:02,769:INFO:Declaring metric variables
- 2022-01-18 15:15:02,774:INFO:Importing untrained model
- 2022-01-18 15:15:02,779:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 15:15:02,790:INFO:Starting cross validation
- 2022-01-18 15:15:02,790:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:15:17,483:INFO:Calculating mean and std
- 2022-01-18 15:15:17,484:INFO:Creating metrics dataframe
- 2022-01-18 15:15:17,487:INFO:Uploading results into container
- 2022-01-18 15:15:17,487:INFO:Uploading model into container now
- 2022-01-18 15:15:17,487:INFO:create_model_container: 9
- 2022-01-18 15:15:17,487:INFO:master_model_container: 9
- 2022-01-18 15:15:17,488:INFO:display_container: 2
- 2022-01-18 15:15:17,488:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4084)
- 2022-01-18 15:15:17,488:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:15:17,561:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:15:17,561:INFO:Creating metrics dataframe
- 2022-01-18 15:15:17,573:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 15:15:17,573:INFO:Total runtime is 1.2026562372843423 minutes
- 2022-01-18 15:15:17,579:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:15:17,579:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:15:17,579:INFO:Checking exceptions
- 2022-01-18 15:15:17,580:INFO:Importing libraries
- 2022-01-18 15:15:17,580:INFO:Copying training dataset
- 2022-01-18 15:15:17,581:INFO:Defining folds
- 2022-01-18 15:15:17,581:INFO:Declaring metric variables
- 2022-01-18 15:15:17,587:INFO:Importing untrained model
- 2022-01-18 15:15:17,592:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:15:17,604:INFO:Starting cross validation
- 2022-01-18 15:15:17,604:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:20,030:INFO:Calculating mean and std
- 2022-01-18 15:16:20,031:INFO:Creating metrics dataframe
- 2022-01-18 15:16:20,034:INFO:Uploading results into container
- 2022-01-18 15:16:20,034:INFO:Uploading model into container now
- 2022-01-18 15:16:20,034:INFO:create_model_container: 10
- 2022-01-18 15:16:20,034:INFO:master_model_container: 10
- 2022-01-18 15:16:20,035:INFO:display_container: 2
- 2022-01-18 15:16:20,035:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4084, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:16:20,035:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:20,117:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:20,117:INFO:Creating metrics dataframe
- 2022-01-18 15:16:20,129:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 15:16:20,130:INFO:Total runtime is 2.2452584147453307 minutes
- 2022-01-18 15:16:20,135:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:16:20,135:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:16:20,136:INFO:Checking exceptions
- 2022-01-18 15:16:20,136:INFO:Importing libraries
- 2022-01-18 15:16:20,136:INFO:Copying training dataset
- 2022-01-18 15:16:20,137:INFO:Defining folds
- 2022-01-18 15:16:20,138:INFO:Declaring metric variables
- 2022-01-18 15:16:20,143:INFO:Importing untrained model
- 2022-01-18 15:16:20,147:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 15:16:20,158:INFO:Starting cross validation
- 2022-01-18 15:16:20,158:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:22,678:INFO:Calculating mean and std
- 2022-01-18 15:16:22,680:INFO:Creating metrics dataframe
- 2022-01-18 15:16:22,684:INFO:Uploading results into container
- 2022-01-18 15:16:22,685:INFO:Uploading model into container now
- 2022-01-18 15:16:22,686:INFO:create_model_container: 11
- 2022-01-18 15:16:22,686:INFO:master_model_container: 11
- 2022-01-18 15:16:22,686:INFO:display_container: 2
- 2022-01-18 15:16:22,687:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 15:16:22,687:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:22,776:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:22,776:INFO:Creating metrics dataframe
- 2022-01-18 15:16:22,789:INFO:Initializing Extra Trees Classifier
- 2022-01-18 15:16:22,790:INFO:Total runtime is 2.289591606458028 minutes
- 2022-01-18 15:16:22,795:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:16:22,795:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:16:22,796:INFO:Checking exceptions
- 2022-01-18 15:16:22,796:INFO:Importing libraries
- 2022-01-18 15:16:22,796:INFO:Copying training dataset
- 2022-01-18 15:16:22,798:INFO:Defining folds
- 2022-01-18 15:16:22,798:INFO:Declaring metric variables
- 2022-01-18 15:16:22,803:INFO:Importing untrained model
- 2022-01-18 15:16:22,808:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:16:22,818:INFO:Starting cross validation
- 2022-01-18 15:16:22,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:29,748:INFO:Calculating mean and std
- 2022-01-18 15:16:29,749:INFO:Creating metrics dataframe
- 2022-01-18 15:16:29,752:INFO:Uploading results into container
- 2022-01-18 15:16:29,752:INFO:Uploading model into container now
- 2022-01-18 15:16:29,752:INFO:create_model_container: 12
- 2022-01-18 15:16:29,753:INFO:master_model_container: 12
- 2022-01-18 15:16:29,753:INFO:display_container: 2
- 2022-01-18 15:16:29,753:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4084, verbose=0,
- warm_start=False)
- 2022-01-18 15:16:29,753:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:29,842:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:29,843:INFO:Creating metrics dataframe
- 2022-01-18 15:16:29,856:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 15:16:29,856:INFO:Total runtime is 2.4073742190996805 minutes
- 2022-01-18 15:16:29,862:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:16:29,862:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:16:29,862:INFO:Checking exceptions
- 2022-01-18 15:16:29,863:INFO:Importing libraries
- 2022-01-18 15:16:29,863:INFO:Copying training dataset
- 2022-01-18 15:16:29,864:INFO:Defining folds
- 2022-01-18 15:16:29,864:INFO:Declaring metric variables
- 2022-01-18 15:16:29,869:INFO:Importing untrained model
- 2022-01-18 15:16:29,875:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:16:29,886:INFO:Starting cross validation
- 2022-01-18 15:16:29,886:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:35,728:INFO:Calculating mean and std
- 2022-01-18 15:16:35,729:INFO:Creating metrics dataframe
- 2022-01-18 15:16:35,732:INFO:Uploading results into container
- 2022-01-18 15:16:35,732:INFO:Uploading model into container now
- 2022-01-18 15:16:35,732:INFO:create_model_container: 13
- 2022-01-18 15:16:35,732:INFO:master_model_container: 13
- 2022-01-18 15:16:35,733:INFO:display_container: 2
- 2022-01-18 15:16:35,733:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4084, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:16:35,733:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:35,811:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:35,812:INFO:Creating metrics dataframe
- 2022-01-18 15:16:35,825:INFO:Initializing Dummy Classifier
- 2022-01-18 15:16:35,825:INFO:Total runtime is 2.506855265299479 minutes
- 2022-01-18 15:16:35,831:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:16:35,831:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:16:35,831:INFO:Checking exceptions
- 2022-01-18 15:16:35,832:INFO:Importing libraries
- 2022-01-18 15:16:35,832:INFO:Copying training dataset
- 2022-01-18 15:16:35,834:INFO:Defining folds
- 2022-01-18 15:16:35,834:INFO:Declaring metric variables
- 2022-01-18 15:16:35,839:INFO:Importing untrained model
- 2022-01-18 15:16:35,844:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 15:16:35,854:INFO:Starting cross validation
- 2022-01-18 15:16:35,855:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:16:35,986:INFO:Calculating mean and std
- 2022-01-18 15:16:35,987:INFO:Creating metrics dataframe
- 2022-01-18 15:16:35,990:INFO:Uploading results into container
- 2022-01-18 15:16:35,990:INFO:Uploading model into container now
- 2022-01-18 15:16:35,990:INFO:create_model_container: 14
- 2022-01-18 15:16:35,990:INFO:master_model_container: 14
- 2022-01-18 15:16:35,990:INFO:display_container: 2
- 2022-01-18 15:16:35,991:INFO:DummyClassifier(constant=None, random_state=4084, strategy='prior')
- 2022-01-18 15:16:35,991:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:16:36,072:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:16:36,073:INFO:Creating metrics dataframe
- 2022-01-18 15:16:36,100:INFO:Initializing create_model()
- 2022-01-18 15:16:36,100:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
- 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={})
- 2022-01-18 15:16:36,100:INFO:Checking exceptions
- 2022-01-18 15:16:36,101:INFO:Importing libraries
- 2022-01-18 15:16:36,101:INFO:Copying training dataset
- 2022-01-18 15:16:36,102:INFO:Defining folds
- 2022-01-18 15:16:36,103:INFO:Declaring metric variables
- 2022-01-18 15:16:36,103:INFO:Importing untrained model
- 2022-01-18 15:16:36,103:INFO:Declaring custom model
- 2022-01-18 15:16:36,104:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:16:36,104:INFO:Cross validation set to False
- 2022-01-18 15:16:36,104:INFO:Fitting Model
- 2022-01-18 15:16:36,529:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
- warm_start=False)
- 2022-01-18 15:16:36,529:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:16:36,635:INFO:create_model_container: 14
- 2022-01-18 15:16:36,636:INFO:master_model_container: 14
- 2022-01-18 15:16:36,636:INFO:display_container: 2
- 2022-01-18 15:16:36,636:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4084, verbose=0,
- warm_start=False)
- 2022-01-18 15:16:36,636:INFO:compare_models() succesfully completed......................................
- 2022-01-18 15:17:05,159:INFO:PyCaret Supervised Module
- 2022-01-18 15:17:05,159:INFO:ML Usecase: classification
- 2022-01-18 15:17:05,159:INFO:version 2.3.6
- 2022-01-18 15:17:05,159:INFO:Initializing setup()
- 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)
- 2022-01-18 15:17:05,160:INFO:Checking environment
- 2022-01-18 15:17:05,160:INFO:python_version: 3.8.8
- 2022-01-18 15:17:05,160:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:17:05,160:INFO:machine: x86_64
- 2022-01-18 15:17:05,160:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:17:05,162:INFO:Physical Core: 16
- 2022-01-18 15:17:05,162:INFO:Logical Core: 32
- 2022-01-18 15:17:05,162:INFO:Checking libraries
- 2022-01-18 15:17:05,162:INFO:pd==1.2.4
- 2022-01-18 15:17:05,162:INFO:numpy==1.19.5
- 2022-01-18 15:17:05,162:INFO:sklearn==0.23.2
- 2022-01-18 15:17:05,163:INFO:lightgbm==3.3.2
- 2022-01-18 15:17:05,163:WARNING:catboost not found
- 2022-01-18 15:17:05,164:WARNING:xgboost not found
- 2022-01-18 15:17:05,164:INFO:mlflow==1.22.0
- 2022-01-18 15:17:05,164:INFO:Checking Exceptions
- 2022-01-18 15:17:05,164:INFO:Declaring global variables
- 2022-01-18 15:17:05,164:INFO:USI: 7a56
- 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'}
- 2022-01-18 15:17:05,165:INFO:Preparing display monitor
- 2022-01-18 15:17:05,165:INFO:Preparing display monitor
- 2022-01-18 15:17:05,176:INFO:Importing libraries
- 2022-01-18 15:17:05,176:INFO:Copying data for preprocessing
- 2022-01-18 15:17:05,184:INFO:Declaring preprocessing parameters
- 2022-01-18 15:17:05,184:WARNING:cuML not found
- 2022-01-18 15:17:05,185:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:17:05,191:INFO:Creating preprocessing pipeline
- 2022-01-18 15:17:05,235:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:17:05,236:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:17:05,236:INFO:Creating global containers
- 2022-01-18 15:17:05,236:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:17:10,966:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:17:10,996:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:17:10,997:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:17:10,998:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:17:11,012:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:17:11,016:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:17:11,017:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:17:11,021:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:17:11,022:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:17:11,053:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:17:11,054:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:17:11,055:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:17:11,069:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:17:11,073:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:17:11,074:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:17:11,077:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:17:11,077:INFO:Creating grid variables
- 2022-01-18 15:17:11,091:INFO:create_model_container: 0
- 2022-01-18 15:17:11,091:INFO:master_model_container: 0
- 2022-01-18 15:17:11,091:INFO:display_container: 1
- 2022-01-18 15:17:11,095:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=695, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:17:11,095:INFO:setup() succesfully completed......................................
- 2022-01-18 15:17:27,163:INFO:Initializing compare_models()
- 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)
- 2022-01-18 15:17:27,164:INFO:Checking exceptions
- 2022-01-18 15:17:27,165:INFO:Preparing display monitor
- 2022-01-18 15:17:27,165:INFO:Preparing display monitor
- 2022-01-18 15:17:27,181:INFO:Initializing Logistic Regression
- 2022-01-18 15:17:27,181:INFO:Total runtime is 5.185604095458984e-06 minutes
- 2022-01-18 15:17:27,187:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:17:27,187:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:17:27,188:INFO:Checking exceptions
- 2022-01-18 15:17:27,188:INFO:Importing libraries
- 2022-01-18 15:17:27,188:INFO:Copying training dataset
- 2022-01-18 15:17:27,189:INFO:Defining folds
- 2022-01-18 15:17:27,189:INFO:Declaring metric variables
- 2022-01-18 15:17:27,194:INFO:Importing untrained model
- 2022-01-18 15:17:27,199:INFO:Logistic Regression Imported succesfully
- 2022-01-18 15:17:27,210:INFO:Starting cross validation
- 2022-01-18 15:17:27,211:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:04,486:INFO:Calculating mean and std
- 2022-01-18 15:18:04,487:INFO:Creating metrics dataframe
- 2022-01-18 15:18:04,493:INFO:Uploading results into container
- 2022-01-18 15:18:04,493:INFO:Uploading model into container now
- 2022-01-18 15:18:04,493:INFO:create_model_container: 1
- 2022-01-18 15:18:04,494:INFO:master_model_container: 1
- 2022-01-18 15:18:04,494:INFO:display_container: 2
- 2022-01-18 15:18:04,495:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=695, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 15:18:04,495:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:04,602:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:04,603:INFO:Creating metrics dataframe
- 2022-01-18 15:18:04,612:INFO:Initializing K Neighbors Classifier
- 2022-01-18 15:18:04,612:INFO:Total runtime is 0.6238506356875102 minutes
- 2022-01-18 15:18:04,617:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:04,618:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:04,618:INFO:Checking exceptions
- 2022-01-18 15:18:04,618:INFO:Importing libraries
- 2022-01-18 15:18:04,618:INFO:Copying training dataset
- 2022-01-18 15:18:04,620:INFO:Defining folds
- 2022-01-18 15:18:04,620:INFO:Declaring metric variables
- 2022-01-18 15:18:04,625:INFO:Importing untrained model
- 2022-01-18 15:18:04,631:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:18:04,643:INFO:Starting cross validation
- 2022-01-18 15:18:04,643:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:10,604:INFO:Calculating mean and std
- 2022-01-18 15:18:10,605:INFO:Creating metrics dataframe
- 2022-01-18 15:18:10,608:INFO:Uploading results into container
- 2022-01-18 15:18:10,608:INFO:Uploading model into container now
- 2022-01-18 15:18:10,608:INFO:create_model_container: 2
- 2022-01-18 15:18:10,608:INFO:master_model_container: 2
- 2022-01-18 15:18:10,608:INFO:display_container: 2
- 2022-01-18 15:18:10,609:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:18:10,609:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:10,687:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:10,687:INFO:Creating metrics dataframe
- 2022-01-18 15:18:10,698:INFO:Initializing Naive Bayes
- 2022-01-18 15:18:10,698:INFO:Total runtime is 0.7252870837847392 minutes
- 2022-01-18 15:18:10,704:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:10,704:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:10,705:INFO:Checking exceptions
- 2022-01-18 15:18:10,705:INFO:Importing libraries
- 2022-01-18 15:18:10,705:INFO:Copying training dataset
- 2022-01-18 15:18:10,707:INFO:Defining folds
- 2022-01-18 15:18:10,707:INFO:Declaring metric variables
- 2022-01-18 15:18:10,711:INFO:Importing untrained model
- 2022-01-18 15:18:10,716:INFO:Naive Bayes Imported succesfully
- 2022-01-18 15:18:10,726:INFO:Starting cross validation
- 2022-01-18 15:18:10,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:11,054:INFO:Calculating mean and std
- 2022-01-18 15:18:11,055:INFO:Creating metrics dataframe
- 2022-01-18 15:18:11,058:INFO:Uploading results into container
- 2022-01-18 15:18:11,058:INFO:Uploading model into container now
- 2022-01-18 15:18:11,058:INFO:create_model_container: 3
- 2022-01-18 15:18:11,058:INFO:master_model_container: 3
- 2022-01-18 15:18:11,058:INFO:display_container: 2
- 2022-01-18 15:18:11,059:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 15:18:11,059:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:11,138:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:11,139:INFO:Creating metrics dataframe
- 2022-01-18 15:18:11,149:INFO:Initializing Decision Tree Classifier
- 2022-01-18 15:18:11,149:INFO:Total runtime is 0.7328077356020609 minutes
- 2022-01-18 15:18:11,155:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:11,155:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:11,155:INFO:Checking exceptions
- 2022-01-18 15:18:11,155:INFO:Importing libraries
- 2022-01-18 15:18:11,156:INFO:Copying training dataset
- 2022-01-18 15:18:11,157:INFO:Defining folds
- 2022-01-18 15:18:11,157:INFO:Declaring metric variables
- 2022-01-18 15:18:11,162:INFO:Importing untrained model
- 2022-01-18 15:18:11,167:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:18:11,177:INFO:Starting cross validation
- 2022-01-18 15:18:11,178:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:14,351:INFO:Calculating mean and std
- 2022-01-18 15:18:14,352:INFO:Creating metrics dataframe
- 2022-01-18 15:18:14,355:INFO:Uploading results into container
- 2022-01-18 15:18:14,355:INFO:Uploading model into container now
- 2022-01-18 15:18:14,355:INFO:create_model_container: 4
- 2022-01-18 15:18:14,355:INFO:master_model_container: 4
- 2022-01-18 15:18:14,356:INFO:display_container: 2
- 2022-01-18 15:18:14,356:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=695, splitter='best')
- 2022-01-18 15:18:14,356:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:14,429:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:14,430:INFO:Creating metrics dataframe
- 2022-01-18 15:18:14,440:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 15:18:14,441:INFO:Total runtime is 0.7876601576805115 minutes
- 2022-01-18 15:18:14,446:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:14,446:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:14,446:INFO:Checking exceptions
- 2022-01-18 15:18:14,447:INFO:Importing libraries
- 2022-01-18 15:18:14,447:INFO:Copying training dataset
- 2022-01-18 15:18:14,448:INFO:Defining folds
- 2022-01-18 15:18:14,448:INFO:Declaring metric variables
- 2022-01-18 15:18:14,454:INFO:Importing untrained model
- 2022-01-18 15:18:14,458:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 15:18:14,469:INFO:Starting cross validation
- 2022-01-18 15:18:14,470:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:16,001:INFO:Calculating mean and std
- 2022-01-18 15:18:16,005:INFO:Creating metrics dataframe
- 2022-01-18 15:18:16,010:INFO:Uploading results into container
- 2022-01-18 15:18:16,011:INFO:Uploading model into container now
- 2022-01-18 15:18:16,011:INFO:create_model_container: 5
- 2022-01-18 15:18:16,011:INFO:master_model_container: 5
- 2022-01-18 15:18:16,011:INFO:display_container: 2
- 2022-01-18 15:18:16,012:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=695, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 15:18:16,012:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:16,104:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:16,105:INFO:Creating metrics dataframe
- 2022-01-18 15:18:16,115:INFO:Initializing Ridge Classifier
- 2022-01-18 15:18:16,116:INFO:Total runtime is 0.8155773639678955 minutes
- 2022-01-18 15:18:16,121:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:16,121:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:16,122:INFO:Checking exceptions
- 2022-01-18 15:18:16,122:INFO:Importing libraries
- 2022-01-18 15:18:16,122:INFO:Copying training dataset
- 2022-01-18 15:18:16,124:INFO:Defining folds
- 2022-01-18 15:18:16,124:INFO:Declaring metric variables
- 2022-01-18 15:18:16,129:INFO:Importing untrained model
- 2022-01-18 15:18:16,135:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 15:18:16,145:INFO:Starting cross validation
- 2022-01-18 15:18:16,145:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:17,035:INFO:Calculating mean and std
- 2022-01-18 15:18:17,049:INFO:Creating metrics dataframe
- 2022-01-18 15:18:17,058:INFO:Uploading results into container
- 2022-01-18 15:18:17,058:INFO:Uploading model into container now
- 2022-01-18 15:18:17,059:INFO:create_model_container: 6
- 2022-01-18 15:18:17,059:INFO:master_model_container: 6
- 2022-01-18 15:18:17,059:INFO:display_container: 2
- 2022-01-18 15:18:17,059:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=695, solver='auto',
- tol=0.001)
- 2022-01-18 15:18:17,060:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:17,143:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:17,144:INFO:Creating metrics dataframe
- 2022-01-18 15:18:17,156:INFO:Initializing Random Forest Classifier
- 2022-01-18 15:18:17,156:INFO:Total runtime is 0.8329163511594136 minutes
- 2022-01-18 15:18:17,161:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:17,162:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:17,162:INFO:Checking exceptions
- 2022-01-18 15:18:17,162:INFO:Importing libraries
- 2022-01-18 15:18:17,162:INFO:Copying training dataset
- 2022-01-18 15:18:17,164:INFO:Defining folds
- 2022-01-18 15:18:17,164:INFO:Declaring metric variables
- 2022-01-18 15:18:17,170:INFO:Importing untrained model
- 2022-01-18 15:18:17,174:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:18:17,185:INFO:Starting cross validation
- 2022-01-18 15:18:17,185:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:24,439:INFO:Calculating mean and std
- 2022-01-18 15:18:24,440:INFO:Creating metrics dataframe
- 2022-01-18 15:18:24,442:INFO:Uploading results into container
- 2022-01-18 15:18:24,442:INFO:Uploading model into container now
- 2022-01-18 15:18:24,443:INFO:create_model_container: 7
- 2022-01-18 15:18:24,443:INFO:master_model_container: 7
- 2022-01-18 15:18:24,443:INFO:display_container: 2
- 2022-01-18 15:18:24,443:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=695, verbose=0,
- warm_start=False)
- 2022-01-18 15:18:24,444:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:24,529:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:24,529:INFO:Creating metrics dataframe
- 2022-01-18 15:18:24,541:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 15:18:24,541:INFO:Total runtime is 0.95600665807724 minutes
- 2022-01-18 15:18:24,547:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:24,547:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:24,547:INFO:Checking exceptions
- 2022-01-18 15:18:24,547:INFO:Importing libraries
- 2022-01-18 15:18:24,548:INFO:Copying training dataset
- 2022-01-18 15:18:24,549:INFO:Defining folds
- 2022-01-18 15:18:24,549:INFO:Declaring metric variables
- 2022-01-18 15:18:24,555:INFO:Importing untrained model
- 2022-01-18 15:18:24,559:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 15:18:24,570:INFO:Starting cross validation
- 2022-01-18 15:18:24,571:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:25,969:INFO:Calculating mean and std
- 2022-01-18 15:18:25,970:INFO:Creating metrics dataframe
- 2022-01-18 15:18:25,976:INFO:Uploading results into container
- 2022-01-18 15:18:25,976:INFO:Uploading model into container now
- 2022-01-18 15:18:25,976:INFO:create_model_container: 8
- 2022-01-18 15:18:25,976:INFO:master_model_container: 8
- 2022-01-18 15:18:25,976:INFO:display_container: 2
- 2022-01-18 15:18:25,977:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 15:18:25,977:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:26,070:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:26,070:INFO:Creating metrics dataframe
- 2022-01-18 15:18:26,083:INFO:Initializing Ada Boost Classifier
- 2022-01-18 15:18:26,083:INFO:Total runtime is 0.9816992163658141 minutes
- 2022-01-18 15:18:26,089:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:26,089:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:26,090:INFO:Checking exceptions
- 2022-01-18 15:18:26,090:INFO:Importing libraries
- 2022-01-18 15:18:26,090:INFO:Copying training dataset
- 2022-01-18 15:18:26,091:INFO:Defining folds
- 2022-01-18 15:18:26,092:INFO:Declaring metric variables
- 2022-01-18 15:18:26,096:INFO:Importing untrained model
- 2022-01-18 15:18:26,101:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 15:18:26,114:INFO:Starting cross validation
- 2022-01-18 15:18:26,114:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:18:41,878:INFO:Calculating mean and std
- 2022-01-18 15:18:41,879:INFO:Creating metrics dataframe
- 2022-01-18 15:18:41,881:INFO:Uploading results into container
- 2022-01-18 15:18:41,882:INFO:Uploading model into container now
- 2022-01-18 15:18:41,882:INFO:create_model_container: 9
- 2022-01-18 15:18:41,882:INFO:master_model_container: 9
- 2022-01-18 15:18:41,882:INFO:display_container: 2
- 2022-01-18 15:18:41,882:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=695)
- 2022-01-18 15:18:41,883:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:18:41,956:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:18:41,956:INFO:Creating metrics dataframe
- 2022-01-18 15:18:41,969:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 15:18:41,969:INFO:Total runtime is 1.2464656352996826 minutes
- 2022-01-18 15:18:41,974:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:18:41,975:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:18:41,975:INFO:Checking exceptions
- 2022-01-18 15:18:41,975:INFO:Importing libraries
- 2022-01-18 15:18:41,975:INFO:Copying training dataset
- 2022-01-18 15:18:41,977:INFO:Defining folds
- 2022-01-18 15:18:41,977:INFO:Declaring metric variables
- 2022-01-18 15:18:41,981:INFO:Importing untrained model
- 2022-01-18 15:18:41,986:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:18:41,996:INFO:Starting cross validation
- 2022-01-18 15:18:41,997:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:19:49,755:INFO:Calculating mean and std
- 2022-01-18 15:19:49,756:INFO:Creating metrics dataframe
- 2022-01-18 15:19:49,759:INFO:Uploading results into container
- 2022-01-18 15:19:49,759:INFO:Uploading model into container now
- 2022-01-18 15:19:49,759:INFO:create_model_container: 10
- 2022-01-18 15:19:49,759:INFO:master_model_container: 10
- 2022-01-18 15:19:49,759:INFO:display_container: 2
- 2022-01-18 15:19:49,760:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=695, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:19:49,760:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:19:49,835:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:19:49,836:INFO:Creating metrics dataframe
- 2022-01-18 15:19:49,848:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 15:19:49,848:INFO:Total runtime is 2.377783437569936 minutes
- 2022-01-18 15:19:49,853:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:19:49,854:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:19:49,854:INFO:Checking exceptions
- 2022-01-18 15:19:49,854:INFO:Importing libraries
- 2022-01-18 15:19:49,854:INFO:Copying training dataset
- 2022-01-18 15:19:49,856:INFO:Defining folds
- 2022-01-18 15:19:49,856:INFO:Declaring metric variables
- 2022-01-18 15:19:49,861:INFO:Importing untrained model
- 2022-01-18 15:19:49,865:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 15:19:49,876:INFO:Starting cross validation
- 2022-01-18 15:19:49,876:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:19:52,429:INFO:Calculating mean and std
- 2022-01-18 15:19:52,431:INFO:Creating metrics dataframe
- 2022-01-18 15:19:52,437:INFO:Uploading results into container
- 2022-01-18 15:19:52,437:INFO:Uploading model into container now
- 2022-01-18 15:19:52,437:INFO:create_model_container: 11
- 2022-01-18 15:19:52,439:INFO:master_model_container: 11
- 2022-01-18 15:19:52,439:INFO:display_container: 2
- 2022-01-18 15:19:52,440:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 15:19:52,440:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:19:52,532:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:19:52,532:INFO:Creating metrics dataframe
- 2022-01-18 15:19:52,546:INFO:Initializing Extra Trees Classifier
- 2022-01-18 15:19:52,546:INFO:Total runtime is 2.422754371166229 minutes
- 2022-01-18 15:19:52,552:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:19:52,552:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:19:52,553:INFO:Checking exceptions
- 2022-01-18 15:19:52,553:INFO:Importing libraries
- 2022-01-18 15:19:52,553:INFO:Copying training dataset
- 2022-01-18 15:19:52,554:INFO:Defining folds
- 2022-01-18 15:19:52,555:INFO:Declaring metric variables
- 2022-01-18 15:19:52,560:INFO:Importing untrained model
- 2022-01-18 15:19:52,564:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:19:52,574:INFO:Starting cross validation
- 2022-01-18 15:19:52,575:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:19:59,467:INFO:Calculating mean and std
- 2022-01-18 15:19:59,468:INFO:Creating metrics dataframe
- 2022-01-18 15:19:59,471:INFO:Uploading results into container
- 2022-01-18 15:19:59,471:INFO:Uploading model into container now
- 2022-01-18 15:19:59,471:INFO:create_model_container: 12
- 2022-01-18 15:19:59,471:INFO:master_model_container: 12
- 2022-01-18 15:19:59,472:INFO:display_container: 2
- 2022-01-18 15:19:59,472:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=695, verbose=0,
- warm_start=False)
- 2022-01-18 15:19:59,472:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:19:59,552:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:19:59,552:INFO:Creating metrics dataframe
- 2022-01-18 15:19:59,565:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 15:19:59,566:INFO:Total runtime is 2.5397435386975604 minutes
- 2022-01-18 15:19:59,571:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:19:59,571:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:19:59,571:INFO:Checking exceptions
- 2022-01-18 15:19:59,572:INFO:Importing libraries
- 2022-01-18 15:19:59,572:INFO:Copying training dataset
- 2022-01-18 15:19:59,574:INFO:Defining folds
- 2022-01-18 15:19:59,574:INFO:Declaring metric variables
- 2022-01-18 15:19:59,579:INFO:Importing untrained model
- 2022-01-18 15:19:59,584:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:19:59,596:INFO:Starting cross validation
- 2022-01-18 15:19:59,597:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:20:04,722:INFO:Calculating mean and std
- 2022-01-18 15:20:04,723:INFO:Creating metrics dataframe
- 2022-01-18 15:20:04,726:INFO:Uploading results into container
- 2022-01-18 15:20:04,726:INFO:Uploading model into container now
- 2022-01-18 15:20:04,726:INFO:create_model_container: 13
- 2022-01-18 15:20:04,726:INFO:master_model_container: 13
- 2022-01-18 15:20:04,726:INFO:display_container: 2
- 2022-01-18 15:20:04,727:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=695, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:20:04,727:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:20:04,794:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:20:04,795:INFO:Creating metrics dataframe
- 2022-01-18 15:20:04,808:INFO:Initializing Dummy Classifier
- 2022-01-18 15:20:04,808:INFO:Total runtime is 2.627113389968872 minutes
- 2022-01-18 15:20:04,813:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:20:04,813:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:20:04,814:INFO:Checking exceptions
- 2022-01-18 15:20:04,814:INFO:Importing libraries
- 2022-01-18 15:20:04,814:INFO:Copying training dataset
- 2022-01-18 15:20:04,816:INFO:Defining folds
- 2022-01-18 15:20:04,816:INFO:Declaring metric variables
- 2022-01-18 15:20:04,821:INFO:Importing untrained model
- 2022-01-18 15:20:04,826:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 15:20:04,836:INFO:Starting cross validation
- 2022-01-18 15:20:04,837:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:20:04,957:INFO:Calculating mean and std
- 2022-01-18 15:20:04,958:INFO:Creating metrics dataframe
- 2022-01-18 15:20:04,960:INFO:Uploading results into container
- 2022-01-18 15:20:04,961:INFO:Uploading model into container now
- 2022-01-18 15:20:04,961:INFO:create_model_container: 14
- 2022-01-18 15:20:04,961:INFO:master_model_container: 14
- 2022-01-18 15:20:04,961:INFO:display_container: 2
- 2022-01-18 15:20:04,961:INFO:DummyClassifier(constant=None, random_state=695, strategy='prior')
- 2022-01-18 15:20:04,961:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:20:05,030:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:20:05,030:INFO:Creating metrics dataframe
- 2022-01-18 15:20:05,056:INFO:Initializing create_model()
- 2022-01-18 15:20:05,056:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=695, verbose=0,
- 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={})
- 2022-01-18 15:20:05,056:INFO:Checking exceptions
- 2022-01-18 15:20:05,056:INFO:Importing libraries
- 2022-01-18 15:20:05,057:INFO:Copying training dataset
- 2022-01-18 15:20:05,058:INFO:Defining folds
- 2022-01-18 15:20:05,058:INFO:Declaring metric variables
- 2022-01-18 15:20:05,058:INFO:Importing untrained model
- 2022-01-18 15:20:05,058:INFO:Declaring custom model
- 2022-01-18 15:20:05,059:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:20:05,059:INFO:Cross validation set to False
- 2022-01-18 15:20:05,060:INFO:Fitting Model
- 2022-01-18 15:20:05,482:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=695, verbose=0,
- warm_start=False)
- 2022-01-18 15:20:05,483:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:20:05,583:INFO:create_model_container: 14
- 2022-01-18 15:20:05,583:INFO:master_model_container: 14
- 2022-01-18 15:20:05,583:INFO:display_container: 2
- 2022-01-18 15:20:05,584:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=695, verbose=0,
- warm_start=False)
- 2022-01-18 15:20:05,584:INFO:compare_models() succesfully completed......................................
- 2022-01-18 15:21:50,815:INFO:PyCaret Supervised Module
- 2022-01-18 15:21:50,816:INFO:ML Usecase: classification
- 2022-01-18 15:21:50,816:INFO:version 2.3.6
- 2022-01-18 15:21:50,816:INFO:Initializing setup()
- 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)
- 2022-01-18 15:21:50,816:INFO:Checking environment
- 2022-01-18 15:21:50,817:INFO:python_version: 3.8.8
- 2022-01-18 15:21:50,817:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:21:50,817:INFO:machine: x86_64
- 2022-01-18 15:21:50,817:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:21:50,818:INFO:Physical Core: 16
- 2022-01-18 15:21:50,818:INFO:Logical Core: 32
- 2022-01-18 15:21:50,818:INFO:Checking libraries
- 2022-01-18 15:21:50,818:INFO:pd==1.2.4
- 2022-01-18 15:21:50,819:INFO:numpy==1.19.5
- 2022-01-18 15:21:50,819:INFO:sklearn==0.23.2
- 2022-01-18 15:21:50,819:INFO:lightgbm==3.3.2
- 2022-01-18 15:21:50,820:WARNING:catboost not found
- 2022-01-18 15:21:50,820:WARNING:xgboost not found
- 2022-01-18 15:21:50,820:INFO:mlflow==1.22.0
- 2022-01-18 15:21:50,821:INFO:Checking Exceptions
- 2022-01-18 15:21:50,821:INFO:Declaring global variables
- 2022-01-18 15:21:50,821:INFO:USI: 3dbb
- 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'}
- 2022-01-18 15:21:50,821:INFO:Preparing display monitor
- 2022-01-18 15:21:50,821:INFO:Preparing display monitor
- 2022-01-18 15:21:50,828:INFO:Importing libraries
- 2022-01-18 15:21:50,829:INFO:Copying data for preprocessing
- 2022-01-18 15:21:50,834:INFO:Declaring preprocessing parameters
- 2022-01-18 15:21:50,835:WARNING:cuML not found
- 2022-01-18 15:21:50,835:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:21:50,838:INFO:Creating preprocessing pipeline
- 2022-01-18 15:21:50,867:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:21:50,867:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:21:50,867:INFO:Creating global containers
- 2022-01-18 15:21:50,867:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:22:17,940:INFO:PyCaret Supervised Module
- 2022-01-18 15:22:17,940:INFO:ML Usecase: classification
- 2022-01-18 15:22:17,940:INFO:version 2.3.6
- 2022-01-18 15:22:17,941:INFO:Initializing setup()
- 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)
- 2022-01-18 15:22:17,941:INFO:Checking environment
- 2022-01-18 15:22:17,941:INFO:python_version: 3.8.8
- 2022-01-18 15:22:17,942:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:22:17,942:INFO:machine: x86_64
- 2022-01-18 15:22:17,942:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:22:17,943:INFO:Physical Core: 16
- 2022-01-18 15:22:17,943:INFO:Logical Core: 32
- 2022-01-18 15:22:17,943:INFO:Checking libraries
- 2022-01-18 15:22:17,943:INFO:pd==1.2.4
- 2022-01-18 15:22:17,943:INFO:numpy==1.19.5
- 2022-01-18 15:22:17,944:INFO:sklearn==0.23.2
- 2022-01-18 15:22:17,944:INFO:lightgbm==3.3.2
- 2022-01-18 15:22:17,944:WARNING:catboost not found
- 2022-01-18 15:22:17,945:WARNING:xgboost not found
- 2022-01-18 15:22:17,945:INFO:mlflow==1.22.0
- 2022-01-18 15:22:17,945:INFO:Checking Exceptions
- 2022-01-18 15:22:17,945:INFO:Declaring global variables
- 2022-01-18 15:22:17,945:INFO:USI: 32fb
- 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'}
- 2022-01-18 15:22:17,946:INFO:Preparing display monitor
- 2022-01-18 15:22:17,946:INFO:Preparing display monitor
- 2022-01-18 15:22:17,955:INFO:Importing libraries
- 2022-01-18 15:22:17,956:INFO:Copying data for preprocessing
- 2022-01-18 15:22:17,962:INFO:Declaring preprocessing parameters
- 2022-01-18 15:22:17,963:WARNING:cuML not found
- 2022-01-18 15:22:17,963:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:22:17,967:INFO:Creating preprocessing pipeline
- 2022-01-18 15:22:18,001:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:22:18,002:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:22:18,002:INFO:Creating global containers
- 2022-01-18 15:22:18,003:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:22:43,448:INFO:PyCaret Supervised Module
- 2022-01-18 15:22:43,448:INFO:ML Usecase: classification
- 2022-01-18 15:22:43,449:INFO:version 2.3.6
- 2022-01-18 15:22:43,449:INFO:Initializing setup()
- 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)
- 2022-01-18 15:22:43,449:INFO:Checking environment
- 2022-01-18 15:22:43,449:INFO:python_version: 3.8.8
- 2022-01-18 15:22:43,449:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:22:43,449:INFO:machine: x86_64
- 2022-01-18 15:22:43,450:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:22:43,451:INFO:Physical Core: 16
- 2022-01-18 15:22:43,451:INFO:Logical Core: 32
- 2022-01-18 15:22:43,451:INFO:Checking libraries
- 2022-01-18 15:22:43,451:INFO:pd==1.2.4
- 2022-01-18 15:22:43,451:INFO:numpy==1.19.5
- 2022-01-18 15:22:43,451:INFO:sklearn==0.23.2
- 2022-01-18 15:22:43,451:INFO:lightgbm==3.3.2
- 2022-01-18 15:22:43,452:WARNING:catboost not found
- 2022-01-18 15:22:43,452:WARNING:xgboost not found
- 2022-01-18 15:22:43,452:INFO:mlflow==1.22.0
- 2022-01-18 15:22:43,453:INFO:Checking Exceptions
- 2022-01-18 15:22:43,453:INFO:Declaring global variables
- 2022-01-18 15:22:43,453:INFO:USI: 3074
- 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'}
- 2022-01-18 15:22:43,453:INFO:Preparing display monitor
- 2022-01-18 15:22:43,454:INFO:Preparing display monitor
- 2022-01-18 15:22:43,461:INFO:Importing libraries
- 2022-01-18 15:22:43,462:INFO:Copying data for preprocessing
- 2022-01-18 15:22:43,468:INFO:Declaring preprocessing parameters
- 2022-01-18 15:22:43,469:WARNING:cuML not found
- 2022-01-18 15:22:43,469:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:22:43,472:INFO:Creating preprocessing pipeline
- 2022-01-18 15:22:43,501:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:22:43,501:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:22:43,502:INFO:Creating global containers
- 2022-01-18 15:22:43,502:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:23:03,219:INFO:PyCaret Supervised Module
- 2022-01-18 15:23:03,219:INFO:ML Usecase: classification
- 2022-01-18 15:23:03,219:INFO:version 2.3.6
- 2022-01-18 15:23:03,220:INFO:Initializing setup()
- 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)
- 2022-01-18 15:23:03,220:INFO:Checking environment
- 2022-01-18 15:23:03,220:INFO:python_version: 3.8.8
- 2022-01-18 15:23:03,220:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:23:03,220:INFO:machine: x86_64
- 2022-01-18 15:23:03,221:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:23:03,221:INFO:Physical Core: 16
- 2022-01-18 15:23:03,222:INFO:Logical Core: 32
- 2022-01-18 15:23:03,222:INFO:Checking libraries
- 2022-01-18 15:23:03,222:INFO:pd==1.2.4
- 2022-01-18 15:23:03,222:INFO:numpy==1.19.5
- 2022-01-18 15:23:03,222:INFO:sklearn==0.23.2
- 2022-01-18 15:23:03,222:INFO:lightgbm==3.3.2
- 2022-01-18 15:23:03,223:WARNING:catboost not found
- 2022-01-18 15:23:03,224:WARNING:xgboost not found
- 2022-01-18 15:23:03,224:INFO:mlflow==1.22.0
- 2022-01-18 15:23:03,224:INFO:Checking Exceptions
- 2022-01-18 15:23:03,224:INFO:Declaring global variables
- 2022-01-18 15:23:03,224:INFO:USI: 7d33
- 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'}
- 2022-01-18 15:23:03,225:INFO:Preparing display monitor
- 2022-01-18 15:23:03,225:INFO:Preparing display monitor
- 2022-01-18 15:23:03,234:INFO:Importing libraries
- 2022-01-18 15:23:03,235:INFO:Copying data for preprocessing
- 2022-01-18 15:23:03,241:INFO:Declaring preprocessing parameters
- 2022-01-18 15:23:03,241:WARNING:cuML not found
- 2022-01-18 15:23:03,241:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:23:03,244:INFO:Creating preprocessing pipeline
- 2022-01-18 15:23:03,273:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:23:03,273:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:23:03,273:INFO:Creating global containers
- 2022-01-18 15:23:03,273:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:23:11,088:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:23:11,116:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:23:11,117:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:23:11,118:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:23:11,132:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:23:11,135:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:23:11,136:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:23:11,139:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:23:11,140:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:23:11,171:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:23:11,172:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:23:11,173:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:23:11,187:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:23:11,190:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:23:11,191:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:23:11,194:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:23:11,195:INFO:Creating grid variables
- 2022-01-18 15:23:11,208:INFO:create_model_container: 0
- 2022-01-18 15:23:11,208:INFO:master_model_container: 0
- 2022-01-18 15:23:11,208:INFO:display_container: 1
- 2022-01-18 15:23:11,212:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=1797, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:23:11,212:INFO:setup() succesfully completed......................................
- 2022-01-18 15:27:40,371:INFO:PyCaret Supervised Module
- 2022-01-18 15:27:40,371:INFO:ML Usecase: classification
- 2022-01-18 15:27:40,371:INFO:version 2.3.6
- 2022-01-18 15:27:40,372:INFO:Initializing setup()
- 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)
- 2022-01-18 15:27:40,372:INFO:Checking environment
- 2022-01-18 15:27:40,372:INFO:python_version: 3.8.8
- 2022-01-18 15:27:40,372:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:27:40,373:INFO:machine: x86_64
- 2022-01-18 15:27:40,373:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:27:40,374:INFO:Physical Core: 16
- 2022-01-18 15:27:40,374:INFO:Logical Core: 32
- 2022-01-18 15:27:40,374:INFO:Checking libraries
- 2022-01-18 15:27:40,374:INFO:pd==1.2.4
- 2022-01-18 15:27:40,374:INFO:numpy==1.19.5
- 2022-01-18 15:27:40,374:INFO:sklearn==0.23.2
- 2022-01-18 15:27:40,375:INFO:lightgbm==3.3.2
- 2022-01-18 15:27:40,375:WARNING:catboost not found
- 2022-01-18 15:27:40,376:WARNING:xgboost not found
- 2022-01-18 15:27:40,376:INFO:mlflow==1.22.0
- 2022-01-18 15:27:40,376:INFO:Checking Exceptions
- 2022-01-18 15:27:40,376:INFO:Declaring global variables
- 2022-01-18 15:27:40,376:INFO:USI: aef0
- 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'}
- 2022-01-18 15:27:40,377:INFO:Preparing display monitor
- 2022-01-18 15:27:40,377:INFO:Preparing display monitor
- 2022-01-18 15:27:40,385:INFO:Importing libraries
- 2022-01-18 15:27:40,385:INFO:Copying data for preprocessing
- 2022-01-18 15:27:40,392:INFO:Declaring preprocessing parameters
- 2022-01-18 15:27:40,393:WARNING:cuML not found
- 2022-01-18 15:27:40,393:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:27:40,396:INFO:Creating preprocessing pipeline
- 2022-01-18 15:27:40,428:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:27:40,428:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:27:40,428:INFO:Creating global containers
- 2022-01-18 15:27:40,429:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:30:12,715:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:30:12,743:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:30:12,743:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:30:12,744:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:30:12,759:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:30:12,762:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:30:12,763:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:30:12,766:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:30:12,766:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:30:12,797:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:30:12,797:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:30:12,798:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:30:12,812:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:30:12,815:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:30:12,817:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:30:12,821:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:30:12,821:INFO:Creating grid variables
- 2022-01-18 15:30:12,834:INFO:create_model_container: 0
- 2022-01-18 15:30:12,834:INFO:master_model_container: 0
- 2022-01-18 15:30:12,834:INFO:display_container: 1
- 2022-01-18 15:30:12,838:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs',
- DFS_Classic(interactions=['multiply', 'divide'],
- ml_usecase='classification', n_jobs=-1,
- random_state=2651, subclass='binary',
- target='label',
- top_features_to_pick_percentage=None)),
- ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:30:12,838:INFO:setup() succesfully completed......................................
- 2022-01-18 15:31:50,249:INFO:PyCaret Supervised Module
- 2022-01-18 15:31:50,249:INFO:ML Usecase: classification
- 2022-01-18 15:31:50,249:INFO:version 2.3.6
- 2022-01-18 15:31:50,249:INFO:Initializing setup()
- 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)
- 2022-01-18 15:31:50,250:INFO:Checking environment
- 2022-01-18 15:31:50,250:INFO:python_version: 3.8.8
- 2022-01-18 15:31:50,250:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:31:50,250:INFO:machine: x86_64
- 2022-01-18 15:31:50,250:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:31:50,251:INFO:Physical Core: 16
- 2022-01-18 15:31:50,251:INFO:Logical Core: 32
- 2022-01-18 15:31:50,251:INFO:Checking libraries
- 2022-01-18 15:31:50,252:INFO:pd==1.2.4
- 2022-01-18 15:31:50,252:INFO:numpy==1.19.5
- 2022-01-18 15:31:50,252:INFO:sklearn==0.23.2
- 2022-01-18 15:31:50,252:INFO:lightgbm==3.3.2
- 2022-01-18 15:31:50,253:WARNING:catboost not found
- 2022-01-18 15:31:50,253:WARNING:xgboost not found
- 2022-01-18 15:31:50,253:INFO:mlflow==1.22.0
- 2022-01-18 15:31:50,253:INFO:Checking Exceptions
- 2022-01-18 15:31:50,254:INFO:Declaring global variables
- 2022-01-18 15:31:50,254:INFO:USI: 8799
- 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'}
- 2022-01-18 15:31:50,254:INFO:Preparing display monitor
- 2022-01-18 15:31:50,254:INFO:Preparing display monitor
- 2022-01-18 15:31:50,261:INFO:Importing libraries
- 2022-01-18 15:31:50,262:INFO:Copying data for preprocessing
- 2022-01-18 15:31:50,268:INFO:Declaring preprocessing parameters
- 2022-01-18 15:31:50,269:WARNING:cuML not found
- 2022-01-18 15:31:50,269:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:31:50,272:INFO:Creating preprocessing pipeline
- 2022-01-18 15:31:50,301:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:31:50,301:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:31:50,301:INFO:Creating global containers
- 2022-01-18 15:31:50,302:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:31:52,904:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:31:52,935:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:31:52,935:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:31:52,936:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:31:52,951:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:31:52,955:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:31:52,956:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:31:52,991:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:31:52,992:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:31:53,022:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:31:53,023:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:31:53,024:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:31:53,039:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:31:53,043:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:31:53,044:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:31:53,048:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:31:53,048:INFO:Creating grid variables
- 2022-01-18 15:31:53,062:INFO:create_model_container: 0
- 2022-01-18 15:31:53,063:INFO:master_model_container: 0
- 2022-01-18 15:31:53,063:INFO:display_container: 1
- 2022-01-18 15:31:53,066:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:31:53,066:INFO:setup() succesfully completed......................................
- 2022-01-18 15:41:05,679:INFO:PyCaret Supervised Module
- 2022-01-18 15:41:05,679:INFO:ML Usecase: classification
- 2022-01-18 15:41:05,679:INFO:version 2.3.6
- 2022-01-18 15:41:05,680:INFO:Initializing setup()
- 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)
- 2022-01-18 15:41:05,680:INFO:Checking environment
- 2022-01-18 15:41:05,680:INFO:python_version: 3.8.8
- 2022-01-18 15:41:05,680:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-18 15:41:05,680:INFO:machine: x86_64
- 2022-01-18 15:41:05,680:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-18 15:41:05,681:INFO:Physical Core: 16
- 2022-01-18 15:41:05,681:INFO:Logical Core: 32
- 2022-01-18 15:41:05,682:INFO:Checking libraries
- 2022-01-18 15:41:05,682:INFO:pd==1.2.4
- 2022-01-18 15:41:05,682:INFO:numpy==1.19.5
- 2022-01-18 15:41:05,682:INFO:sklearn==0.23.2
- 2022-01-18 15:41:05,682:INFO:lightgbm==3.3.2
- 2022-01-18 15:41:05,683:WARNING:catboost not found
- 2022-01-18 15:41:05,683:WARNING:xgboost not found
- 2022-01-18 15:41:05,683:INFO:mlflow==1.22.0
- 2022-01-18 15:41:05,684:INFO:Checking Exceptions
- 2022-01-18 15:41:05,684:INFO:Declaring global variables
- 2022-01-18 15:41:05,684:INFO:USI: ab39
- 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'}
- 2022-01-18 15:41:05,684:INFO:Preparing display monitor
- 2022-01-18 15:41:05,684:INFO:Preparing display monitor
- 2022-01-18 15:41:05,692:INFO:Importing libraries
- 2022-01-18 15:41:05,693:INFO:Copying data for preprocessing
- 2022-01-18 15:41:05,698:INFO:Declaring preprocessing parameters
- 2022-01-18 15:41:05,699:WARNING:cuML not found
- 2022-01-18 15:41:05,699:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-18 15:41:05,701:INFO:Creating preprocessing pipeline
- 2022-01-18 15:41:05,730:INFO:Preprocessing pipeline created successfully
- 2022-01-18 15:41:05,730:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-18 15:41:05,730:INFO:Creating global containers
- 2022-01-18 15:41:05,731:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-18 15:41:07,474:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:41:07,502:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:41:07,503:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:41:07,504:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:41:07,518:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:41:07,521:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:41:07,522:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:41:07,525:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:41:07,526:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-18 15:41:07,556:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-18 15:41:07,557:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-18 15:41:07,557:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-18 15:41:07,572:WARNING:Couldn't import cuml.linear_model
- 2022-01-18 15:41:07,576:WARNING:Couldn't import cuml.ensemble
- 2022-01-18 15:41:07,577:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-18 15:41:07,580:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-18 15:41:07,580:INFO:Creating grid variables
- 2022-01-18 15:41:07,593:INFO:create_model_container: 0
- 2022-01-18 15:41:07,593:INFO:master_model_container: 0
- 2022-01-18 15:41:07,594:INFO:display_container: 1
- 2022-01-18 15:41:07,597:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-18 15:41:07,597:INFO:setup() succesfully completed......................................
- 2022-01-18 15:41:13,467:INFO:Initializing compare_models()
- 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)
- 2022-01-18 15:41:13,467:INFO:Checking exceptions
- 2022-01-18 15:41:13,468:INFO:Preparing display monitor
- 2022-01-18 15:41:13,469:INFO:Preparing display monitor
- 2022-01-18 15:41:13,485:INFO:Initializing Logistic Regression
- 2022-01-18 15:41:13,485:INFO:Total runtime is 5.93264897664388e-06 minutes
- 2022-01-18 15:41:13,491:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:13,491:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:13,491:INFO:Checking exceptions
- 2022-01-18 15:41:13,492:INFO:Importing libraries
- 2022-01-18 15:41:13,492:INFO:Copying training dataset
- 2022-01-18 15:41:13,493:INFO:Defining folds
- 2022-01-18 15:41:13,493:INFO:Declaring metric variables
- 2022-01-18 15:41:13,498:INFO:Importing untrained model
- 2022-01-18 15:41:13,503:INFO:Logistic Regression Imported succesfully
- 2022-01-18 15:41:13,514:INFO:Starting cross validation
- 2022-01-18 15:41:13,515:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:20,325:INFO:Calculating mean and std
- 2022-01-18 15:41:20,330:INFO:Creating metrics dataframe
- 2022-01-18 15:41:20,343:INFO:Uploading results into container
- 2022-01-18 15:41:20,343:INFO:Uploading model into container now
- 2022-01-18 15:41:20,344:INFO:create_model_container: 1
- 2022-01-18 15:41:20,347:INFO:master_model_container: 1
- 2022-01-18 15:41:20,348:INFO:display_container: 2
- 2022-01-18 15:41:20,350:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=7473, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 15:41:20,351:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:20,444:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:20,444:INFO:Creating metrics dataframe
- 2022-01-18 15:41:20,453:INFO:Initializing K Neighbors Classifier
- 2022-01-18 15:41:20,453:INFO:Total runtime is 0.11613946358362834 minutes
- 2022-01-18 15:41:20,458:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:20,459:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:20,459:INFO:Checking exceptions
- 2022-01-18 15:41:20,459:INFO:Importing libraries
- 2022-01-18 15:41:20,459:INFO:Copying training dataset
- 2022-01-18 15:41:20,460:INFO:Defining folds
- 2022-01-18 15:41:20,460:INFO:Declaring metric variables
- 2022-01-18 15:41:20,465:INFO:Importing untrained model
- 2022-01-18 15:41:20,470:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:41:20,480:INFO:Starting cross validation
- 2022-01-18 15:41:20,480:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:37,977:INFO:Calculating mean and std
- 2022-01-18 15:41:37,978:INFO:Creating metrics dataframe
- 2022-01-18 15:41:37,981:INFO:Uploading results into container
- 2022-01-18 15:41:37,981:INFO:Uploading model into container now
- 2022-01-18 15:41:37,981:INFO:create_model_container: 2
- 2022-01-18 15:41:37,981:INFO:master_model_container: 2
- 2022-01-18 15:41:37,981:INFO:display_container: 2
- 2022-01-18 15:41:37,982:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:41:37,982:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:38,066:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:38,066:INFO:Creating metrics dataframe
- 2022-01-18 15:41:38,076:INFO:Initializing Naive Bayes
- 2022-01-18 15:41:38,077:INFO:Total runtime is 0.40986427466074626 minutes
- 2022-01-18 15:41:38,082:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:38,082:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:38,083:INFO:Checking exceptions
- 2022-01-18 15:41:38,083:INFO:Importing libraries
- 2022-01-18 15:41:38,083:INFO:Copying training dataset
- 2022-01-18 15:41:38,086:INFO:Defining folds
- 2022-01-18 15:41:38,086:INFO:Declaring metric variables
- 2022-01-18 15:41:38,091:INFO:Importing untrained model
- 2022-01-18 15:41:38,096:INFO:Naive Bayes Imported succesfully
- 2022-01-18 15:41:38,105:INFO:Starting cross validation
- 2022-01-18 15:41:38,106:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:38,359:INFO:Calculating mean and std
- 2022-01-18 15:41:38,360:INFO:Creating metrics dataframe
- 2022-01-18 15:41:38,363:INFO:Uploading results into container
- 2022-01-18 15:41:38,363:INFO:Uploading model into container now
- 2022-01-18 15:41:38,363:INFO:create_model_container: 3
- 2022-01-18 15:41:38,363:INFO:master_model_container: 3
- 2022-01-18 15:41:38,363:INFO:display_container: 2
- 2022-01-18 15:41:38,364:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 15:41:38,364:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:38,453:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:38,453:INFO:Creating metrics dataframe
- 2022-01-18 15:41:38,464:INFO:Initializing Decision Tree Classifier
- 2022-01-18 15:41:38,464:INFO:Total runtime is 0.41632137695948285 minutes
- 2022-01-18 15:41:38,470:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:38,470:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:38,470:INFO:Checking exceptions
- 2022-01-18 15:41:38,471:INFO:Importing libraries
- 2022-01-18 15:41:38,471:INFO:Copying training dataset
- 2022-01-18 15:41:38,472:INFO:Defining folds
- 2022-01-18 15:41:38,472:INFO:Declaring metric variables
- 2022-01-18 15:41:38,477:INFO:Importing untrained model
- 2022-01-18 15:41:38,482:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:41:38,492:INFO:Starting cross validation
- 2022-01-18 15:41:38,493:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:39,401:INFO:Calculating mean and std
- 2022-01-18 15:41:39,402:INFO:Creating metrics dataframe
- 2022-01-18 15:41:39,404:INFO:Uploading results into container
- 2022-01-18 15:41:39,405:INFO:Uploading model into container now
- 2022-01-18 15:41:39,405:INFO:create_model_container: 4
- 2022-01-18 15:41:39,405:INFO:master_model_container: 4
- 2022-01-18 15:41:39,405:INFO:display_container: 2
- 2022-01-18 15:41:39,406:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:41:39,406:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:39,482:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:39,482:INFO:Creating metrics dataframe
- 2022-01-18 15:41:39,493:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 15:41:39,494:INFO:Total runtime is 0.433481498559316 minutes
- 2022-01-18 15:41:39,499:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:39,500:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:39,500:INFO:Checking exceptions
- 2022-01-18 15:41:39,500:INFO:Importing libraries
- 2022-01-18 15:41:39,500:INFO:Copying training dataset
- 2022-01-18 15:41:39,502:INFO:Defining folds
- 2022-01-18 15:41:39,502:INFO:Declaring metric variables
- 2022-01-18 15:41:39,507:INFO:Importing untrained model
- 2022-01-18 15:41:39,512:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 15:41:39,524:INFO:Starting cross validation
- 2022-01-18 15:41:39,524:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:40,722:INFO:Calculating mean and std
- 2022-01-18 15:41:40,725:INFO:Creating metrics dataframe
- 2022-01-18 15:41:40,729:INFO:Uploading results into container
- 2022-01-18 15:41:40,729:INFO:Uploading model into container now
- 2022-01-18 15:41:40,733:INFO:create_model_container: 5
- 2022-01-18 15:41:40,734:INFO:master_model_container: 5
- 2022-01-18 15:41:40,734:INFO:display_container: 2
- 2022-01-18 15:41:40,735:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=7473, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 15:41:40,735:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:40,827:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:40,827:INFO:Creating metrics dataframe
- 2022-01-18 15:41:40,838:INFO:Initializing Ridge Classifier
- 2022-01-18 15:41:40,838:INFO:Total runtime is 0.45589210987091067 minutes
- 2022-01-18 15:41:40,843:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:40,844:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:40,844:INFO:Checking exceptions
- 2022-01-18 15:41:40,844:INFO:Importing libraries
- 2022-01-18 15:41:40,844:INFO:Copying training dataset
- 2022-01-18 15:41:40,846:INFO:Defining folds
- 2022-01-18 15:41:40,846:INFO:Declaring metric variables
- 2022-01-18 15:41:40,851:INFO:Importing untrained model
- 2022-01-18 15:41:40,856:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 15:41:40,866:INFO:Starting cross validation
- 2022-01-18 15:41:40,866:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:41,493:INFO:Calculating mean and std
- 2022-01-18 15:41:41,494:INFO:Creating metrics dataframe
- 2022-01-18 15:41:41,500:INFO:Uploading results into container
- 2022-01-18 15:41:41,500:INFO:Uploading model into container now
- 2022-01-18 15:41:41,500:INFO:create_model_container: 6
- 2022-01-18 15:41:41,500:INFO:master_model_container: 6
- 2022-01-18 15:41:41,501:INFO:display_container: 2
- 2022-01-18 15:41:41,501:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=7473,
- solver='auto', tol=0.001)
- 2022-01-18 15:41:41,501:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:41,598:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:41,598:INFO:Creating metrics dataframe
- 2022-01-18 15:41:41,610:INFO:Initializing Random Forest Classifier
- 2022-01-18 15:41:41,610:INFO:Total runtime is 0.4687506755193075 minutes
- 2022-01-18 15:41:41,615:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:41,615:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:41,615:INFO:Checking exceptions
- 2022-01-18 15:41:41,616:INFO:Importing libraries
- 2022-01-18 15:41:41,616:INFO:Copying training dataset
- 2022-01-18 15:41:41,617:INFO:Defining folds
- 2022-01-18 15:41:41,617:INFO:Declaring metric variables
- 2022-01-18 15:41:41,623:INFO:Importing untrained model
- 2022-01-18 15:41:41,627:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:41:41,638:INFO:Starting cross validation
- 2022-01-18 15:41:41,638:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:48,145:INFO:Calculating mean and std
- 2022-01-18 15:41:48,146:INFO:Creating metrics dataframe
- 2022-01-18 15:41:48,148:INFO:Uploading results into container
- 2022-01-18 15:41:48,149:INFO:Uploading model into container now
- 2022-01-18 15:41:48,149:INFO:create_model_container: 7
- 2022-01-18 15:41:48,149:INFO:master_model_container: 7
- 2022-01-18 15:41:48,149:INFO:display_container: 2
- 2022-01-18 15:41:48,150:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:41:48,150:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:48,237:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:48,237:INFO:Creating metrics dataframe
- 2022-01-18 15:41:48,248:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 15:41:48,248:INFO:Total runtime is 0.5793914993604025 minutes
- 2022-01-18 15:41:48,253:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:48,254:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:48,254:INFO:Checking exceptions
- 2022-01-18 15:41:48,254:INFO:Importing libraries
- 2022-01-18 15:41:48,254:INFO:Copying training dataset
- 2022-01-18 15:41:48,256:INFO:Defining folds
- 2022-01-18 15:41:48,256:INFO:Declaring metric variables
- 2022-01-18 15:41:48,261:INFO:Importing untrained model
- 2022-01-18 15:41:48,266:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 15:41:48,276:INFO:Starting cross validation
- 2022-01-18 15:41:48,276:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:49,361:INFO:Calculating mean and std
- 2022-01-18 15:41:49,362:INFO:Creating metrics dataframe
- 2022-01-18 15:41:49,369:INFO:Uploading results into container
- 2022-01-18 15:41:49,371:INFO:Uploading model into container now
- 2022-01-18 15:41:49,371:INFO:create_model_container: 8
- 2022-01-18 15:41:49,372:INFO:master_model_container: 8
- 2022-01-18 15:41:49,372:INFO:display_container: 2
- 2022-01-18 15:41:49,373:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 15:41:49,373:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:49,472:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:49,472:INFO:Creating metrics dataframe
- 2022-01-18 15:41:49,484:INFO:Initializing Ada Boost Classifier
- 2022-01-18 15:41:49,484:INFO:Total runtime is 0.5999911546707154 minutes
- 2022-01-18 15:41:49,490:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:49,490:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:49,491:INFO:Checking exceptions
- 2022-01-18 15:41:49,491:INFO:Importing libraries
- 2022-01-18 15:41:49,491:INFO:Copying training dataset
- 2022-01-18 15:41:49,493:INFO:Defining folds
- 2022-01-18 15:41:49,493:INFO:Declaring metric variables
- 2022-01-18 15:41:49,498:INFO:Importing untrained model
- 2022-01-18 15:41:49,503:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 15:41:49,513:INFO:Starting cross validation
- 2022-01-18 15:41:49,514:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:41:56,412:INFO:Calculating mean and std
- 2022-01-18 15:41:56,413:INFO:Creating metrics dataframe
- 2022-01-18 15:41:56,416:INFO:Uploading results into container
- 2022-01-18 15:41:56,416:INFO:Uploading model into container now
- 2022-01-18 15:41:56,416:INFO:create_model_container: 9
- 2022-01-18 15:41:56,416:INFO:master_model_container: 9
- 2022-01-18 15:41:56,417:INFO:display_container: 2
- 2022-01-18 15:41:56,417:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=7473)
- 2022-01-18 15:41:56,417:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:41:56,500:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:41:56,501:INFO:Creating metrics dataframe
- 2022-01-18 15:41:56,514:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 15:41:56,514:INFO:Total runtime is 0.7171598156293234 minutes
- 2022-01-18 15:41:56,521:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:41:56,522:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:41:56,522:INFO:Checking exceptions
- 2022-01-18 15:41:56,522:INFO:Importing libraries
- 2022-01-18 15:41:56,522:INFO:Copying training dataset
- 2022-01-18 15:41:56,524:INFO:Defining folds
- 2022-01-18 15:41:56,524:INFO:Declaring metric variables
- 2022-01-18 15:41:56,529:INFO:Importing untrained model
- 2022-01-18 15:41:56,534:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:41:56,544:INFO:Starting cross validation
- 2022-01-18 15:41:56,545:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:18,613:INFO:Calculating mean and std
- 2022-01-18 15:42:18,614:INFO:Creating metrics dataframe
- 2022-01-18 15:42:18,616:INFO:Uploading results into container
- 2022-01-18 15:42:18,616:INFO:Uploading model into container now
- 2022-01-18 15:42:18,617:INFO:create_model_container: 10
- 2022-01-18 15:42:18,617:INFO:master_model_container: 10
- 2022-01-18 15:42:18,617:INFO:display_container: 2
- 2022-01-18 15:42:18,618:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:42:18,618:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:18,700:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:18,701:INFO:Creating metrics dataframe
- 2022-01-18 15:42:18,713:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 15:42:18,713:INFO:Total runtime is 1.0871387481689454 minutes
- 2022-01-18 15:42:18,719:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:42:18,719:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:42:18,719:INFO:Checking exceptions
- 2022-01-18 15:42:18,720:INFO:Importing libraries
- 2022-01-18 15:42:18,720:INFO:Copying training dataset
- 2022-01-18 15:42:18,721:INFO:Defining folds
- 2022-01-18 15:42:18,721:INFO:Declaring metric variables
- 2022-01-18 15:42:18,726:INFO:Importing untrained model
- 2022-01-18 15:42:18,731:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 15:42:18,741:INFO:Starting cross validation
- 2022-01-18 15:42:18,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:20,528:INFO:Calculating mean and std
- 2022-01-18 15:42:20,529:INFO:Creating metrics dataframe
- 2022-01-18 15:42:20,536:INFO:Uploading results into container
- 2022-01-18 15:42:20,537:INFO:Uploading model into container now
- 2022-01-18 15:42:20,538:INFO:create_model_container: 11
- 2022-01-18 15:42:20,538:INFO:master_model_container: 11
- 2022-01-18 15:42:20,538:INFO:display_container: 2
- 2022-01-18 15:42:20,538:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 15:42:20,539:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:20,639:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:20,639:INFO:Creating metrics dataframe
- 2022-01-18 15:42:20,652:INFO:Initializing Extra Trees Classifier
- 2022-01-18 15:42:20,652:INFO:Total runtime is 1.1194572885831198 minutes
- 2022-01-18 15:42:20,657:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:42:20,658:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:42:20,658:INFO:Checking exceptions
- 2022-01-18 15:42:20,658:INFO:Importing libraries
- 2022-01-18 15:42:20,658:INFO:Copying training dataset
- 2022-01-18 15:42:20,660:INFO:Defining folds
- 2022-01-18 15:42:20,660:INFO:Declaring metric variables
- 2022-01-18 15:42:20,665:INFO:Importing untrained model
- 2022-01-18 15:42:20,669:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:42:20,679:INFO:Starting cross validation
- 2022-01-18 15:42:20,680:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:27,358:INFO:Calculating mean and std
- 2022-01-18 15:42:27,359:INFO:Creating metrics dataframe
- 2022-01-18 15:42:27,361:INFO:Uploading results into container
- 2022-01-18 15:42:27,361:INFO:Uploading model into container now
- 2022-01-18 15:42:27,362:INFO:create_model_container: 12
- 2022-01-18 15:42:27,362:INFO:master_model_container: 12
- 2022-01-18 15:42:27,362:INFO:display_container: 2
- 2022-01-18 15:42:27,362:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:42:27,363:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:27,457:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:27,457:INFO:Creating metrics dataframe
- 2022-01-18 15:42:27,471:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 15:42:27,471:INFO:Total runtime is 1.2331105828285218 minutes
- 2022-01-18 15:42:27,477:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:42:27,478:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:42:27,478:INFO:Checking exceptions
- 2022-01-18 15:42:27,478:INFO:Importing libraries
- 2022-01-18 15:42:27,478:INFO:Copying training dataset
- 2022-01-18 15:42:27,480:INFO:Defining folds
- 2022-01-18 15:42:27,480:INFO:Declaring metric variables
- 2022-01-18 15:42:27,485:INFO:Importing untrained model
- 2022-01-18 15:42:27,491:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:42:27,501:INFO:Starting cross validation
- 2022-01-18 15:42:27,502:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:31,599:INFO:Calculating mean and std
- 2022-01-18 15:42:31,600:INFO:Creating metrics dataframe
- 2022-01-18 15:42:31,603:INFO:Uploading results into container
- 2022-01-18 15:42:31,603:INFO:Uploading model into container now
- 2022-01-18 15:42:31,603:INFO:create_model_container: 13
- 2022-01-18 15:42:31,603:INFO:master_model_container: 13
- 2022-01-18 15:42:31,603:INFO:display_container: 2
- 2022-01-18 15:42:31,604:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:42:31,604:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:31,685:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:31,685:INFO:Creating metrics dataframe
- 2022-01-18 15:42:31,699:INFO:Initializing Dummy Classifier
- 2022-01-18 15:42:31,699:INFO:Total runtime is 1.3035667260487875 minutes
- 2022-01-18 15:42:31,704:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:42:31,705:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:42:31,705:INFO:Checking exceptions
- 2022-01-18 15:42:31,705:INFO:Importing libraries
- 2022-01-18 15:42:31,705:INFO:Copying training dataset
- 2022-01-18 15:42:31,707:INFO:Defining folds
- 2022-01-18 15:42:31,707:INFO:Declaring metric variables
- 2022-01-18 15:42:31,712:INFO:Importing untrained model
- 2022-01-18 15:42:31,717:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 15:42:31,730:INFO:Starting cross validation
- 2022-01-18 15:42:31,731:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:42:31,859:INFO:Calculating mean and std
- 2022-01-18 15:42:31,860:INFO:Creating metrics dataframe
- 2022-01-18 15:42:31,863:INFO:Uploading results into container
- 2022-01-18 15:42:31,863:INFO:Uploading model into container now
- 2022-01-18 15:42:31,863:INFO:create_model_container: 14
- 2022-01-18 15:42:31,863:INFO:master_model_container: 14
- 2022-01-18 15:42:31,863:INFO:display_container: 2
- 2022-01-18 15:42:31,864:INFO:DummyClassifier(constant=None, random_state=7473, strategy='prior')
- 2022-01-18 15:42:31,864:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:42:31,951:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:42:31,951:INFO:Creating metrics dataframe
- 2022-01-18 15:42:31,976:INFO:Initializing create_model()
- 2022-01-18 15:42:31,976:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:42:31,976:INFO:Checking exceptions
- 2022-01-18 15:42:31,976:INFO:Importing libraries
- 2022-01-18 15:42:31,977:INFO:Copying training dataset
- 2022-01-18 15:42:31,977:INFO:Defining folds
- 2022-01-18 15:42:31,978:INFO:Declaring metric variables
- 2022-01-18 15:42:31,978:INFO:Importing untrained model
- 2022-01-18 15:42:31,978:INFO:Declaring custom model
- 2022-01-18 15:42:31,979:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:42:31,979:INFO:Cross validation set to False
- 2022-01-18 15:42:31,979:INFO:Fitting Model
- 2022-01-18 15:42:32,363:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:42:32,364:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:42:32,473:INFO:create_model_container: 14
- 2022-01-18 15:42:32,474:INFO:master_model_container: 14
- 2022-01-18 15:42:32,474:INFO:display_container: 2
- 2022-01-18 15:42:32,474:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:42:32,474:INFO:compare_models() succesfully completed......................................
- 2022-01-18 15:44:30,879:INFO:Initializing compare_models()
- 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)
- 2022-01-18 15:44:30,879:INFO:Checking exceptions
- 2022-01-18 15:44:30,880:INFO:Preparing display monitor
- 2022-01-18 15:44:30,881:INFO:Preparing display monitor
- 2022-01-18 15:44:30,897:INFO:Initializing Logistic Regression
- 2022-01-18 15:44:30,897:INFO:Total runtime is 5.618731180826823e-06 minutes
- 2022-01-18 15:44:30,903:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:30,903:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:30,904:INFO:Checking exceptions
- 2022-01-18 15:44:30,904:INFO:Importing libraries
- 2022-01-18 15:44:30,904:INFO:Copying training dataset
- 2022-01-18 15:44:30,905:INFO:Defining folds
- 2022-01-18 15:44:30,906:INFO:Declaring metric variables
- 2022-01-18 15:44:30,911:INFO:Importing untrained model
- 2022-01-18 15:44:30,916:INFO:Logistic Regression Imported succesfully
- 2022-01-18 15:44:30,926:INFO:Starting cross validation
- 2022-01-18 15:44:30,927:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:37,887:INFO:Calculating mean and std
- 2022-01-18 15:44:37,888:INFO:Creating metrics dataframe
- 2022-01-18 15:44:37,893:INFO:Uploading results into container
- 2022-01-18 15:44:37,893:INFO:Uploading model into container now
- 2022-01-18 15:44:37,893:INFO:create_model_container: 15
- 2022-01-18 15:44:37,894:INFO:master_model_container: 15
- 2022-01-18 15:44:37,894:INFO:display_container: 3
- 2022-01-18 15:44:37,895:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=7473, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-18 15:44:37,895:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:37,993:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:37,993:INFO:Creating metrics dataframe
- 2022-01-18 15:44:38,003:INFO:Initializing K Neighbors Classifier
- 2022-01-18 15:44:38,003:INFO:Total runtime is 0.11843294302622477 minutes
- 2022-01-18 15:44:38,008:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:38,009:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:38,009:INFO:Checking exceptions
- 2022-01-18 15:44:38,009:INFO:Importing libraries
- 2022-01-18 15:44:38,009:INFO:Copying training dataset
- 2022-01-18 15:44:38,011:INFO:Defining folds
- 2022-01-18 15:44:38,011:INFO:Declaring metric variables
- 2022-01-18 15:44:38,016:INFO:Importing untrained model
- 2022-01-18 15:44:38,021:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:44:38,031:INFO:Starting cross validation
- 2022-01-18 15:44:38,032:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:54,098:INFO:Calculating mean and std
- 2022-01-18 15:44:54,099:INFO:Creating metrics dataframe
- 2022-01-18 15:44:54,102:INFO:Uploading results into container
- 2022-01-18 15:44:54,102:INFO:Uploading model into container now
- 2022-01-18 15:44:54,102:INFO:create_model_container: 16
- 2022-01-18 15:44:54,102:INFO:master_model_container: 16
- 2022-01-18 15:44:54,102:INFO:display_container: 3
- 2022-01-18 15:44:54,103:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:44:54,103:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:54,180:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:54,180:INFO:Creating metrics dataframe
- 2022-01-18 15:44:54,191:INFO:Initializing Naive Bayes
- 2022-01-18 15:44:54,191:INFO:Total runtime is 0.3882308006286621 minutes
- 2022-01-18 15:44:54,196:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:54,196:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:54,197:INFO:Checking exceptions
- 2022-01-18 15:44:54,197:INFO:Importing libraries
- 2022-01-18 15:44:54,197:INFO:Copying training dataset
- 2022-01-18 15:44:54,198:INFO:Defining folds
- 2022-01-18 15:44:54,198:INFO:Declaring metric variables
- 2022-01-18 15:44:54,203:INFO:Importing untrained model
- 2022-01-18 15:44:54,208:INFO:Naive Bayes Imported succesfully
- 2022-01-18 15:44:54,218:INFO:Starting cross validation
- 2022-01-18 15:44:54,219:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:54,482:INFO:Calculating mean and std
- 2022-01-18 15:44:54,482:INFO:Creating metrics dataframe
- 2022-01-18 15:44:54,485:INFO:Uploading results into container
- 2022-01-18 15:44:54,485:INFO:Uploading model into container now
- 2022-01-18 15:44:54,485:INFO:create_model_container: 17
- 2022-01-18 15:44:54,485:INFO:master_model_container: 17
- 2022-01-18 15:44:54,486:INFO:display_container: 3
- 2022-01-18 15:44:54,486:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-18 15:44:54,486:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:54,568:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:54,568:INFO:Creating metrics dataframe
- 2022-01-18 15:44:54,579:INFO:Initializing Decision Tree Classifier
- 2022-01-18 15:44:54,580:INFO:Total runtime is 0.3947117765744527 minutes
- 2022-01-18 15:44:54,585:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:54,586:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:54,586:INFO:Checking exceptions
- 2022-01-18 15:44:54,586:INFO:Importing libraries
- 2022-01-18 15:44:54,587:INFO:Copying training dataset
- 2022-01-18 15:44:54,588:INFO:Defining folds
- 2022-01-18 15:44:54,588:INFO:Declaring metric variables
- 2022-01-18 15:44:54,593:INFO:Importing untrained model
- 2022-01-18 15:44:54,598:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:44:54,609:INFO:Starting cross validation
- 2022-01-18 15:44:54,609:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:55,506:INFO:Calculating mean and std
- 2022-01-18 15:44:55,507:INFO:Creating metrics dataframe
- 2022-01-18 15:44:55,510:INFO:Uploading results into container
- 2022-01-18 15:44:55,510:INFO:Uploading model into container now
- 2022-01-18 15:44:55,510:INFO:create_model_container: 18
- 2022-01-18 15:44:55,510:INFO:master_model_container: 18
- 2022-01-18 15:44:55,511:INFO:display_container: 3
- 2022-01-18 15:44:55,511:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:44:55,511:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:55,591:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:55,591:INFO:Creating metrics dataframe
- 2022-01-18 15:44:55,602:INFO:Initializing SVM - Linear Kernel
- 2022-01-18 15:44:55,602:INFO:Total runtime is 0.41175559361775715 minutes
- 2022-01-18 15:44:55,608:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:55,608:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:55,608:INFO:Checking exceptions
- 2022-01-18 15:44:55,609:INFO:Importing libraries
- 2022-01-18 15:44:55,609:INFO:Copying training dataset
- 2022-01-18 15:44:55,610:INFO:Defining folds
- 2022-01-18 15:44:55,610:INFO:Declaring metric variables
- 2022-01-18 15:44:55,615:INFO:Importing untrained model
- 2022-01-18 15:44:55,620:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-18 15:44:55,629:INFO:Starting cross validation
- 2022-01-18 15:44:55,630:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:56,888:INFO:Calculating mean and std
- 2022-01-18 15:44:56,889:INFO:Creating metrics dataframe
- 2022-01-18 15:44:56,893:INFO:Uploading results into container
- 2022-01-18 15:44:56,897:INFO:Uploading model into container now
- 2022-01-18 15:44:56,899:INFO:create_model_container: 19
- 2022-01-18 15:44:56,899:INFO:master_model_container: 19
- 2022-01-18 15:44:56,899:INFO:display_container: 3
- 2022-01-18 15:44:56,900:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=7473, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-18 15:44:56,902:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:56,999:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:56,999:INFO:Creating metrics dataframe
- 2022-01-18 15:44:57,011:INFO:Initializing Ridge Classifier
- 2022-01-18 15:44:57,011:INFO:Total runtime is 0.43523983160654706 minutes
- 2022-01-18 15:44:57,018:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:57,018:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:57,019:INFO:Checking exceptions
- 2022-01-18 15:44:57,019:INFO:Importing libraries
- 2022-01-18 15:44:57,019:INFO:Copying training dataset
- 2022-01-18 15:44:57,021:INFO:Defining folds
- 2022-01-18 15:44:57,021:INFO:Declaring metric variables
- 2022-01-18 15:44:57,029:INFO:Importing untrained model
- 2022-01-18 15:44:57,036:INFO:Ridge Classifier Imported succesfully
- 2022-01-18 15:44:57,053:INFO:Starting cross validation
- 2022-01-18 15:44:57,054:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:44:57,608:INFO:Calculating mean and std
- 2022-01-18 15:44:57,611:INFO:Creating metrics dataframe
- 2022-01-18 15:44:57,616:INFO:Uploading results into container
- 2022-01-18 15:44:57,617:INFO:Uploading model into container now
- 2022-01-18 15:44:57,622:INFO:create_model_container: 20
- 2022-01-18 15:44:57,624:INFO:master_model_container: 20
- 2022-01-18 15:44:57,627:INFO:display_container: 3
- 2022-01-18 15:44:57,629:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=7473,
- solver='auto', tol=0.001)
- 2022-01-18 15:44:57,631:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:44:57,730:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:44:57,730:INFO:Creating metrics dataframe
- 2022-01-18 15:44:57,741:INFO:Initializing Random Forest Classifier
- 2022-01-18 15:44:57,741:INFO:Total runtime is 0.4474069118499756 minutes
- 2022-01-18 15:44:57,747:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:44:57,747:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:44:57,747:INFO:Checking exceptions
- 2022-01-18 15:44:57,748:INFO:Importing libraries
- 2022-01-18 15:44:57,748:INFO:Copying training dataset
- 2022-01-18 15:44:57,749:INFO:Defining folds
- 2022-01-18 15:44:57,749:INFO:Declaring metric variables
- 2022-01-18 15:44:57,755:INFO:Importing untrained model
- 2022-01-18 15:44:57,760:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:44:57,769:INFO:Starting cross validation
- 2022-01-18 15:44:57,770:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:04,305:INFO:Calculating mean and std
- 2022-01-18 15:45:04,307:INFO:Creating metrics dataframe
- 2022-01-18 15:45:04,309:INFO:Uploading results into container
- 2022-01-18 15:45:04,310:INFO:Uploading model into container now
- 2022-01-18 15:45:04,310:INFO:create_model_container: 21
- 2022-01-18 15:45:04,310:INFO:master_model_container: 21
- 2022-01-18 15:45:04,310:INFO:display_container: 3
- 2022-01-18 15:45:04,311:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:04,311:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:04,398:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:04,399:INFO:Creating metrics dataframe
- 2022-01-18 15:45:04,410:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-18 15:45:04,410:INFO:Total runtime is 0.5585548082987468 minutes
- 2022-01-18 15:45:04,416:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:04,416:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:04,416:INFO:Checking exceptions
- 2022-01-18 15:45:04,416:INFO:Importing libraries
- 2022-01-18 15:45:04,416:INFO:Copying training dataset
- 2022-01-18 15:45:04,418:INFO:Defining folds
- 2022-01-18 15:45:04,418:INFO:Declaring metric variables
- 2022-01-18 15:45:04,422:INFO:Importing untrained model
- 2022-01-18 15:45:04,427:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-18 15:45:04,437:INFO:Starting cross validation
- 2022-01-18 15:45:04,437:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:05,629:INFO:Calculating mean and std
- 2022-01-18 15:45:05,630:INFO:Creating metrics dataframe
- 2022-01-18 15:45:05,635:INFO:Uploading results into container
- 2022-01-18 15:45:05,635:INFO:Uploading model into container now
- 2022-01-18 15:45:05,636:INFO:create_model_container: 22
- 2022-01-18 15:45:05,636:INFO:master_model_container: 22
- 2022-01-18 15:45:05,637:INFO:display_container: 3
- 2022-01-18 15:45:05,638:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-18 15:45:05,641:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:05,734:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:05,734:INFO:Creating metrics dataframe
- 2022-01-18 15:45:05,747:INFO:Initializing Ada Boost Classifier
- 2022-01-18 15:45:05,747:INFO:Total runtime is 0.5808298667271933 minutes
- 2022-01-18 15:45:05,752:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:05,753:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:05,753:INFO:Checking exceptions
- 2022-01-18 15:45:05,754:INFO:Importing libraries
- 2022-01-18 15:45:05,754:INFO:Copying training dataset
- 2022-01-18 15:45:05,755:INFO:Defining folds
- 2022-01-18 15:45:05,755:INFO:Declaring metric variables
- 2022-01-18 15:45:05,761:INFO:Importing untrained model
- 2022-01-18 15:45:05,766:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-18 15:45:05,778:INFO:Starting cross validation
- 2022-01-18 15:45:05,779:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:12,606:INFO:Calculating mean and std
- 2022-01-18 15:45:12,607:INFO:Creating metrics dataframe
- 2022-01-18 15:45:12,610:INFO:Uploading results into container
- 2022-01-18 15:45:12,610:INFO:Uploading model into container now
- 2022-01-18 15:45:12,610:INFO:create_model_container: 23
- 2022-01-18 15:45:12,610:INFO:master_model_container: 23
- 2022-01-18 15:45:12,610:INFO:display_container: 3
- 2022-01-18 15:45:12,610:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=7473)
- 2022-01-18 15:45:12,611:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:12,687:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:12,687:INFO:Creating metrics dataframe
- 2022-01-18 15:45:12,699:INFO:Initializing Gradient Boosting Classifier
- 2022-01-18 15:45:12,699:INFO:Total runtime is 0.6967039148012798 minutes
- 2022-01-18 15:45:12,705:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:12,705:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:12,706:INFO:Checking exceptions
- 2022-01-18 15:45:12,706:INFO:Importing libraries
- 2022-01-18 15:45:12,706:INFO:Copying training dataset
- 2022-01-18 15:45:12,707:INFO:Defining folds
- 2022-01-18 15:45:12,707:INFO:Declaring metric variables
- 2022-01-18 15:45:12,712:INFO:Importing untrained model
- 2022-01-18 15:45:12,717:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:45:12,727:INFO:Starting cross validation
- 2022-01-18 15:45:12,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:34,929:INFO:Calculating mean and std
- 2022-01-18 15:45:34,930:INFO:Creating metrics dataframe
- 2022-01-18 15:45:34,932:INFO:Uploading results into container
- 2022-01-18 15:45:34,932:INFO:Uploading model into container now
- 2022-01-18 15:45:34,932:INFO:create_model_container: 24
- 2022-01-18 15:45:34,932:INFO:master_model_container: 24
- 2022-01-18 15:45:34,933:INFO:display_container: 3
- 2022-01-18 15:45:34,933:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:34,933:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:35,009:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:35,009:INFO:Creating metrics dataframe
- 2022-01-18 15:45:35,021:INFO:Initializing Linear Discriminant Analysis
- 2022-01-18 15:45:35,021:INFO:Total runtime is 1.0687391678492228 minutes
- 2022-01-18 15:45:35,027:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:35,027:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:35,027:INFO:Checking exceptions
- 2022-01-18 15:45:35,028:INFO:Importing libraries
- 2022-01-18 15:45:35,028:INFO:Copying training dataset
- 2022-01-18 15:45:35,029:INFO:Defining folds
- 2022-01-18 15:45:35,029:INFO:Declaring metric variables
- 2022-01-18 15:45:35,035:INFO:Importing untrained model
- 2022-01-18 15:45:35,040:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-18 15:45:35,049:INFO:Starting cross validation
- 2022-01-18 15:45:35,050:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:36,973:INFO:Calculating mean and std
- 2022-01-18 15:45:36,975:INFO:Creating metrics dataframe
- 2022-01-18 15:45:36,978:INFO:Uploading results into container
- 2022-01-18 15:45:36,982:INFO:Uploading model into container now
- 2022-01-18 15:45:36,982:INFO:create_model_container: 25
- 2022-01-18 15:45:36,982:INFO:master_model_container: 25
- 2022-01-18 15:45:36,982:INFO:display_container: 3
- 2022-01-18 15:45:36,983:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-18 15:45:36,983:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:37,091:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:37,091:INFO:Creating metrics dataframe
- 2022-01-18 15:45:37,104:INFO:Initializing Extra Trees Classifier
- 2022-01-18 15:45:37,104:INFO:Total runtime is 1.103451669216156 minutes
- 2022-01-18 15:45:37,110:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:37,110:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:37,110:INFO:Checking exceptions
- 2022-01-18 15:45:37,110:INFO:Importing libraries
- 2022-01-18 15:45:37,110:INFO:Copying training dataset
- 2022-01-18 15:45:37,112:INFO:Defining folds
- 2022-01-18 15:45:37,112:INFO:Declaring metric variables
- 2022-01-18 15:45:37,117:INFO:Importing untrained model
- 2022-01-18 15:45:37,122:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:45:37,132:INFO:Starting cross validation
- 2022-01-18 15:45:37,133:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:43,860:INFO:Calculating mean and std
- 2022-01-18 15:45:43,860:INFO:Creating metrics dataframe
- 2022-01-18 15:45:43,863:INFO:Uploading results into container
- 2022-01-18 15:45:43,863:INFO:Uploading model into container now
- 2022-01-18 15:45:43,863:INFO:create_model_container: 26
- 2022-01-18 15:45:43,863:INFO:master_model_container: 26
- 2022-01-18 15:45:43,864:INFO:display_container: 3
- 2022-01-18 15:45:43,864:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:43,864:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:43,951:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:43,952:INFO:Creating metrics dataframe
- 2022-01-18 15:45:43,965:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-18 15:45:43,965:INFO:Total runtime is 1.2178025285402934 minutes
- 2022-01-18 15:45:43,970:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:43,971:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:43,971:INFO:Checking exceptions
- 2022-01-18 15:45:43,971:INFO:Importing libraries
- 2022-01-18 15:45:43,971:INFO:Copying training dataset
- 2022-01-18 15:45:43,973:INFO:Defining folds
- 2022-01-18 15:45:43,973:INFO:Declaring metric variables
- 2022-01-18 15:45:43,978:INFO:Importing untrained model
- 2022-01-18 15:45:43,983:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:45:43,993:INFO:Starting cross validation
- 2022-01-18 15:45:43,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:47,319:INFO:Calculating mean and std
- 2022-01-18 15:45:47,320:INFO:Creating metrics dataframe
- 2022-01-18 15:45:47,323:INFO:Uploading results into container
- 2022-01-18 15:45:47,323:INFO:Uploading model into container now
- 2022-01-18 15:45:47,323:INFO:create_model_container: 27
- 2022-01-18 15:45:47,323:INFO:master_model_container: 27
- 2022-01-18 15:45:47,324:INFO:display_container: 3
- 2022-01-18 15:45:47,324:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:45:47,324:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:47,400:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:47,401:INFO:Creating metrics dataframe
- 2022-01-18 15:45:47,414:INFO:Initializing Dummy Classifier
- 2022-01-18 15:45:47,414:INFO:Total runtime is 1.275287119547526 minutes
- 2022-01-18 15:45:47,420:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:45:47,420:INFO:Initializing create_model()
- 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={})
- 2022-01-18 15:45:47,420:INFO:Checking exceptions
- 2022-01-18 15:45:47,421:INFO:Importing libraries
- 2022-01-18 15:45:47,421:INFO:Copying training dataset
- 2022-01-18 15:45:47,422:INFO:Defining folds
- 2022-01-18 15:45:47,422:INFO:Declaring metric variables
- 2022-01-18 15:45:47,427:INFO:Importing untrained model
- 2022-01-18 15:45:47,432:INFO:Dummy Classifier Imported succesfully
- 2022-01-18 15:45:47,442:INFO:Starting cross validation
- 2022-01-18 15:45:47,442:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:45:47,561:INFO:Calculating mean and std
- 2022-01-18 15:45:47,561:INFO:Creating metrics dataframe
- 2022-01-18 15:45:47,564:INFO:Uploading results into container
- 2022-01-18 15:45:47,564:INFO:Uploading model into container now
- 2022-01-18 15:45:47,564:INFO:create_model_container: 28
- 2022-01-18 15:45:47,564:INFO:master_model_container: 28
- 2022-01-18 15:45:47,565:INFO:display_container: 3
- 2022-01-18 15:45:47,565:INFO:DummyClassifier(constant=None, random_state=7473, strategy='prior')
- 2022-01-18 15:45:47,565:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:45:47,649:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:45:47,649:INFO:Creating metrics dataframe
- 2022-01-18 15:45:47,676:INFO:Initializing create_model()
- 2022-01-18 15:45:47,676:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:45:47,676:INFO:Checking exceptions
- 2022-01-18 15:45:47,676:INFO:Importing libraries
- 2022-01-18 15:45:47,677:INFO:Copying training dataset
- 2022-01-18 15:45:47,678:INFO:Defining folds
- 2022-01-18 15:45:47,678:INFO:Declaring metric variables
- 2022-01-18 15:45:47,678:INFO:Importing untrained model
- 2022-01-18 15:45:47,678:INFO:Declaring custom model
- 2022-01-18 15:45:47,679:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:45:47,679:INFO:Cross validation set to False
- 2022-01-18 15:45:47,679:INFO:Fitting Model
- 2022-01-18 15:45:48,093:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:48,093:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:48,180:INFO:Initializing create_model()
- 2022-01-18 15:45:48,180:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:45:48,180:INFO:Checking exceptions
- 2022-01-18 15:45:48,181:INFO:Importing libraries
- 2022-01-18 15:45:48,181:INFO:Copying training dataset
- 2022-01-18 15:45:48,182:INFO:Defining folds
- 2022-01-18 15:45:48,182:INFO:Declaring metric variables
- 2022-01-18 15:45:48,182:INFO:Importing untrained model
- 2022-01-18 15:45:48,182:INFO:Declaring custom model
- 2022-01-18 15:45:48,183:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:45:48,183:INFO:Cross validation set to False
- 2022-01-18 15:45:48,183:INFO:Fitting Model
- 2022-01-18 15:45:48,504:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:48,504:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:48,587:INFO:Initializing create_model()
- 2022-01-18 15:45:48,587:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 15:45:48,588:INFO:Checking exceptions
- 2022-01-18 15:45:48,588:INFO:Importing libraries
- 2022-01-18 15:45:48,588:INFO:Copying training dataset
- 2022-01-18 15:45:48,589:INFO:Defining folds
- 2022-01-18 15:45:48,589:INFO:Declaring metric variables
- 2022-01-18 15:45:48,589:INFO:Importing untrained model
- 2022-01-18 15:45:48,589:INFO:Declaring custom model
- 2022-01-18 15:45:48,590:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:45:48,590:INFO:Cross validation set to False
- 2022-01-18 15:45:48,590:INFO:Fitting Model
- 2022-01-18 15:45:48,676:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:45:48,676:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:48,759:INFO:Initializing create_model()
- 2022-01-18 15:45:48,759:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-18 15:45:48,759:INFO:Checking exceptions
- 2022-01-18 15:45:48,759:INFO:Importing libraries
- 2022-01-18 15:45:48,760:INFO:Copying training dataset
- 2022-01-18 15:45:48,760:INFO:Defining folds
- 2022-01-18 15:45:48,761:INFO:Declaring metric variables
- 2022-01-18 15:45:48,761:INFO:Importing untrained model
- 2022-01-18 15:45:48,761:INFO:Declaring custom model
- 2022-01-18 15:45:48,761:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:45:48,762:INFO:Cross validation set to False
- 2022-01-18 15:45:48,762:INFO:Fitting Model
- 2022-01-18 15:45:50,213:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-18 15:45:50,213:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:50,295:INFO:Initializing create_model()
- 2022-01-18 15:45:50,295:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-18 15:45:50,296:INFO:Checking exceptions
- 2022-01-18 15:45:50,296:INFO:Importing libraries
- 2022-01-18 15:45:50,296:INFO:Copying training dataset
- 2022-01-18 15:45:50,297:INFO:Defining folds
- 2022-01-18 15:45:50,297:INFO:Declaring metric variables
- 2022-01-18 15:45:50,297:INFO:Importing untrained model
- 2022-01-18 15:45:50,297:INFO:Declaring custom model
- 2022-01-18 15:45:50,298:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:45:50,298:INFO:Cross validation set to False
- 2022-01-18 15:45:50,298:INFO:Fitting Model
- 2022-01-18 15:45:50,656:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-18 15:45:50,657:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:50,739:INFO:Initializing create_model()
- 2022-01-18 15:45:50,740:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-18 15:45:50,740:INFO:Checking exceptions
- 2022-01-18 15:45:50,740:INFO:Importing libraries
- 2022-01-18 15:45:50,740:INFO:Copying training dataset
- 2022-01-18 15:45:50,741:INFO:Defining folds
- 2022-01-18 15:45:50,741:INFO:Declaring metric variables
- 2022-01-18 15:45:50,741:INFO:Importing untrained model
- 2022-01-18 15:45:50,742:INFO:Declaring custom model
- 2022-01-18 15:45:50,742:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:45:50,742:INFO:Cross validation set to False
- 2022-01-18 15:45:50,743:INFO:Fitting Model
- 2022-01-18 15:45:53,222:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:45:53,223:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:45:53,331:INFO:create_model_container: 28
- 2022-01-18 15:45:53,331:INFO:master_model_container: 28
- 2022-01-18 15:45:53,331:INFO:display_container: 3
- 2022-01-18 15:45:53,332:INFO:[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-18 15:45:53,332:INFO:compare_models() succesfully completed......................................
- 2022-01-18 15:47:39,933:INFO:Initializing tune_model()
- 2022-01-18 15:47:39,933:INFO:tune_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:47:39,933:INFO:Checking exceptions
- 2022-01-18 15:47:39,934:INFO:Preparing display monitor
- 2022-01-18 15:47:39,945:INFO:Copying training dataset
- 2022-01-18 15:47:39,946:INFO:Checking base model
- 2022-01-18 15:47:39,947:INFO:Base model : Random Forest Classifier
- 2022-01-18 15:47:39,952:INFO:Declaring metric variables
- 2022-01-18 15:47:39,956:INFO:Defining Hyperparameters
- 2022-01-18 15:47:40,044:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:47:40,044:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:48:00,237:INFO:Hyperparameter search completed
- 2022-01-18 15:48:00,237:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:48:00,238:INFO:Initializing create_model()
- 2022-01-18 15:48:00,238:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, 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 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})
- 2022-01-18 15:48:00,238:INFO:Checking exceptions
- 2022-01-18 15:48:00,238:INFO:Importing libraries
- 2022-01-18 15:48:00,239:INFO:Copying training dataset
- 2022-01-18 15:48:00,240:INFO:Defining folds
- 2022-01-18 15:48:00,240:INFO:Declaring metric variables
- 2022-01-18 15:48:00,245:INFO:Importing untrained model
- 2022-01-18 15:48:00,245:INFO:Declaring custom model
- 2022-01-18 15:48:00,251:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:48:00,264:INFO:Starting cross validation
- 2022-01-18 15:48:00,265:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:48:03,098:INFO:Calculating mean and std
- 2022-01-18 15:48:03,099:INFO:Creating metrics dataframe
- 2022-01-18 15:48:03,106:INFO:Finalizing model
- 2022-01-18 15:48:03,220:INFO:Uploading results into container
- 2022-01-18 15:48:03,220:INFO:Uploading model into container now
- 2022-01-18 15:48:03,220:INFO:create_model_container: 29
- 2022-01-18 15:48:03,221:INFO:master_model_container: 29
- 2022-01-18 15:48:03,221:INFO:display_container: 4
- 2022-01-18 15:48:03,221:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:48:03,222:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:48:03,302:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:48:03,312:INFO:create_model_container: 29
- 2022-01-18 15:48:03,312:INFO:master_model_container: 29
- 2022-01-18 15:48:03,312:INFO:display_container: 4
- 2022-01-18 15:48:03,312:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:48:03,313:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:48:03,398:INFO:Initializing tune_model()
- 2022-01-18 15:48:03,398:INFO:tune_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- 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={})
- 2022-01-18 15:48:03,398:INFO:Checking exceptions
- 2022-01-18 15:48:03,399:INFO:Preparing display monitor
- 2022-01-18 15:48:03,410:INFO:Copying training dataset
- 2022-01-18 15:48:03,411:INFO:Checking base model
- 2022-01-18 15:48:03,411:INFO:Base model : Extra Trees Classifier
- 2022-01-18 15:48:03,416:INFO:Declaring metric variables
- 2022-01-18 15:48:03,421:INFO:Defining Hyperparameters
- 2022-01-18 15:48:03,510:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:48:03,510:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:48:21,992:INFO:Hyperparameter search completed
- 2022-01-18 15:48:21,992:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:48:21,993:INFO:Initializing create_model()
- 2022-01-18 15:48:21,993:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, 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 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})
- 2022-01-18 15:48:21,993:INFO:Checking exceptions
- 2022-01-18 15:48:21,993:INFO:Importing libraries
- 2022-01-18 15:48:21,993:INFO:Copying training dataset
- 2022-01-18 15:48:21,995:INFO:Defining folds
- 2022-01-18 15:48:21,995:INFO:Declaring metric variables
- 2022-01-18 15:48:22,000:INFO:Importing untrained model
- 2022-01-18 15:48:22,000:INFO:Declaring custom model
- 2022-01-18 15:48:22,005:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:48:22,015:INFO:Starting cross validation
- 2022-01-18 15:48:22,016:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:48:24,852:INFO:Calculating mean and std
- 2022-01-18 15:48:24,853:INFO:Creating metrics dataframe
- 2022-01-18 15:48:24,861:INFO:Finalizing model
- 2022-01-18 15:48:24,977:INFO:Uploading results into container
- 2022-01-18 15:48:24,978:INFO:Uploading model into container now
- 2022-01-18 15:48:24,978:INFO:create_model_container: 30
- 2022-01-18 15:48:24,978:INFO:master_model_container: 30
- 2022-01-18 15:48:24,978:INFO:display_container: 5
- 2022-01-18 15:48:24,979:INFO:ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:48:24,979:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:48:25,057:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:48:25,067:INFO:create_model_container: 30
- 2022-01-18 15:48:25,067:INFO:master_model_container: 30
- 2022-01-18 15:48:25,067:INFO:display_container: 5
- 2022-01-18 15:48:25,068:INFO:ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False)
- 2022-01-18 15:48:25,068:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:48:25,150:INFO:Initializing tune_model()
- 2022-01-18 15:48:25,150:INFO:tune_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-18 15:48:25,151:INFO:Checking exceptions
- 2022-01-18 15:48:25,152:INFO:Preparing display monitor
- 2022-01-18 15:48:25,163:INFO:Copying training dataset
- 2022-01-18 15:48:25,164:INFO:Checking base model
- 2022-01-18 15:48:25,164:INFO:Base model : Decision Tree Classifier
- 2022-01-18 15:48:25,169:INFO:Declaring metric variables
- 2022-01-18 15:48:25,173:INFO:Defining Hyperparameters
- 2022-01-18 15:48:25,273:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:48:25,274:INFO:Initializing RandomizedSearchCV
- 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'}
- 2022-01-18 15:48:25,733:INFO:Hyperparameter search completed
- 2022-01-18 15:48:25,734:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:48:25,734:INFO:Initializing create_model()
- 2022-01-18 15:48:25,734:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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'})
- 2022-01-18 15:48:25,734:INFO:Checking exceptions
- 2022-01-18 15:48:25,735:INFO:Importing libraries
- 2022-01-18 15:48:25,735:INFO:Copying training dataset
- 2022-01-18 15:48:25,736:INFO:Defining folds
- 2022-01-18 15:48:25,736:INFO:Declaring metric variables
- 2022-01-18 15:48:25,741:INFO:Importing untrained model
- 2022-01-18 15:48:25,741:INFO:Declaring custom model
- 2022-01-18 15:48:25,746:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:48:25,756:INFO:Starting cross validation
- 2022-01-18 15:48:25,757:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:48:26,246:INFO:Calculating mean and std
- 2022-01-18 15:48:26,246:INFO:Creating metrics dataframe
- 2022-01-18 15:48:26,253:INFO:Finalizing model
- 2022-01-18 15:48:26,298:INFO:Uploading results into container
- 2022-01-18 15:48:26,298:INFO:Uploading model into container now
- 2022-01-18 15:48:26,299:INFO:create_model_container: 31
- 2022-01-18 15:48:26,299:INFO:master_model_container: 31
- 2022-01-18 15:48:26,299:INFO:display_container: 6
- 2022-01-18 15:48:26,299:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=11, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=6, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:48:26,299:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:48:26,385:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:48:26,395:INFO:create_model_container: 31
- 2022-01-18 15:48:26,396:INFO:master_model_container: 31
- 2022-01-18 15:48:26,396:INFO:display_container: 6
- 2022-01-18 15:48:26,396:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=11, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=6, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best')
- 2022-01-18 15:48:26,396:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:48:26,481:INFO:Initializing tune_model()
- 2022-01-18 15:48:26,482:INFO:tune_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-18 15:48:26,482:INFO:Checking exceptions
- 2022-01-18 15:48:26,483:INFO:Preparing display monitor
- 2022-01-18 15:48:26,494:INFO:Copying training dataset
- 2022-01-18 15:48:26,495:INFO:Checking base model
- 2022-01-18 15:48:26,495:INFO:Base model : K Neighbors Classifier
- 2022-01-18 15:48:26,500:INFO:Declaring metric variables
- 2022-01-18 15:48:26,505:INFO:Defining Hyperparameters
- 2022-01-18 15:48:26,594:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:48:26,595:INFO:Initializing RandomizedSearchCV
- 2022-01-18 15:49:12,011:INFO:best_params: {'actual_estimator__weights': 'distance', 'actual_estimator__n_neighbors': 32, 'actual_estimator__metric': 'manhattan'}
- 2022-01-18 15:49:12,012:INFO:Hyperparameter search completed
- 2022-01-18 15:49:12,012:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:49:12,013:INFO:Initializing create_model()
- 2022-01-18 15:49:12,013:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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'})
- 2022-01-18 15:49:12,013:INFO:Checking exceptions
- 2022-01-18 15:49:12,014:INFO:Importing libraries
- 2022-01-18 15:49:12,014:INFO:Copying training dataset
- 2022-01-18 15:49:12,016:INFO:Defining folds
- 2022-01-18 15:49:12,016:INFO:Declaring metric variables
- 2022-01-18 15:49:12,024:INFO:Importing untrained model
- 2022-01-18 15:49:12,024:INFO:Declaring custom model
- 2022-01-18 15:49:12,030:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:49:12,043:INFO:Starting cross validation
- 2022-01-18 15:49:12,044:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:49:31,378:INFO:Calculating mean and std
- 2022-01-18 15:49:31,379:INFO:Creating metrics dataframe
- 2022-01-18 15:49:31,386:INFO:Finalizing model
- 2022-01-18 15:49:32,865:INFO:Uploading results into container
- 2022-01-18 15:49:32,866:INFO:Uploading model into container now
- 2022-01-18 15:49:32,866:INFO:create_model_container: 32
- 2022-01-18 15:49:32,866:INFO:master_model_container: 32
- 2022-01-18 15:49:32,866:INFO:display_container: 7
- 2022-01-18 15:49:32,867:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
- metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
- weights='distance')
- 2022-01-18 15:49:32,867:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:49:32,961:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:49:32,971:INFO:create_model_container: 32
- 2022-01-18 15:49:32,971:INFO:master_model_container: 32
- 2022-01-18 15:49:32,971:INFO:display_container: 7
- 2022-01-18 15:49:32,972:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
- metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
- weights='distance')
- 2022-01-18 15:49:32,972:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:49:33,065:INFO:Initializing tune_model()
- 2022-01-18 15:49:33,065:INFO:tune_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-18 15:49:33,065:INFO:Checking exceptions
- 2022-01-18 15:49:33,066:INFO:Preparing display monitor
- 2022-01-18 15:49:33,077:INFO:Copying training dataset
- 2022-01-18 15:49:33,079:INFO:Checking base model
- 2022-01-18 15:49:33,079:INFO:Base model : Light Gradient Boosting Machine
- 2022-01-18 15:49:33,084:INFO:Declaring metric variables
- 2022-01-18 15:49:33,089:INFO:Defining Hyperparameters
- 2022-01-18 15:49:33,178:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:49:33,178:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:49:38,670:INFO:Hyperparameter search completed
- 2022-01-18 15:49:38,671:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:49:38,671:INFO:Initializing create_model()
- 2022-01-18 15:49:38,671:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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})
- 2022-01-18 15:49:38,672:INFO:Checking exceptions
- 2022-01-18 15:49:38,672:INFO:Importing libraries
- 2022-01-18 15:49:38,672:INFO:Copying training dataset
- 2022-01-18 15:49:38,674:INFO:Defining folds
- 2022-01-18 15:49:38,674:INFO:Declaring metric variables
- 2022-01-18 15:49:38,680:INFO:Importing untrained model
- 2022-01-18 15:49:38,680:INFO:Declaring custom model
- 2022-01-18 15:49:38,685:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:49:38,695:INFO:Starting cross validation
- 2022-01-18 15:49:38,696:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:49:45,456:INFO:Calculating mean and std
- 2022-01-18 15:49:45,457:INFO:Creating metrics dataframe
- 2022-01-18 15:49:45,465:INFO:Finalizing model
- 2022-01-18 15:49:46,425:INFO:Uploading results into container
- 2022-01-18 15:49:46,426:INFO:Uploading model into container now
- 2022-01-18 15:49:46,426:INFO:create_model_container: 33
- 2022-01-18 15:49:46,426:INFO:master_model_container: 33
- 2022-01-18 15:49:46,427:INFO:display_container: 8
- 2022-01-18 15:49:46,428:INFO:LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
- class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
- importance_type='split', learning_rate=0.15, max_depth=-1,
- min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
- n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
- random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0)
- 2022-01-18 15:49:46,428:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:49:46,515:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:49:46,525:INFO:create_model_container: 33
- 2022-01-18 15:49:46,526:INFO:master_model_container: 33
- 2022-01-18 15:49:46,526:INFO:display_container: 8
- 2022-01-18 15:49:46,527:INFO:LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
- class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
- importance_type='split', learning_rate=0.15, max_depth=-1,
- min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
- n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
- random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0)
- 2022-01-18 15:49:46,527:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:49:46,612:INFO:Initializing tune_model()
- 2022-01-18 15:49:46,612:INFO:tune_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-18 15:49:46,612:INFO:Checking exceptions
- 2022-01-18 15:49:46,613:INFO:Preparing display monitor
- 2022-01-18 15:49:46,624:INFO:Copying training dataset
- 2022-01-18 15:49:46,625:INFO:Checking base model
- 2022-01-18 15:49:46,625:INFO:Base model : Gradient Boosting Classifier
- 2022-01-18 15:49:46,631:INFO:Declaring metric variables
- 2022-01-18 15:49:46,636:INFO:Defining Hyperparameters
- 2022-01-18 15:49:46,726:INFO:Tuning with n_jobs=-1
- 2022-01-18 15:49:46,726:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-01-18 15:50:10,794:INFO:Hyperparameter search completed
- 2022-01-18 15:50:10,794:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:50:10,795:INFO:Initializing create_model()
- 2022-01-18 15:50:10,795:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, 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 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})
- 2022-01-18 15:50:10,795:INFO:Checking exceptions
- 2022-01-18 15:50:10,796:INFO:Importing libraries
- 2022-01-18 15:50:10,796:INFO:Copying training dataset
- 2022-01-18 15:50:10,798:INFO:Defining folds
- 2022-01-18 15:50:10,798:INFO:Declaring metric variables
- 2022-01-18 15:50:10,804:INFO:Importing untrained model
- 2022-01-18 15:50:10,804:INFO:Declaring custom model
- 2022-01-18 15:50:10,810:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:50:10,821:INFO:Starting cross validation
- 2022-01-18 15:50:10,821:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:50:28,561:INFO:Calculating mean and std
- 2022-01-18 15:50:28,562:INFO:Creating metrics dataframe
- 2022-01-18 15:50:28,569:INFO:Finalizing model
- 2022-01-18 15:50:30,563:INFO:Uploading results into container
- 2022-01-18 15:50:30,563:INFO:Uploading model into container now
- 2022-01-18 15:50:30,563:INFO:create_model_container: 34
- 2022-01-18 15:50:30,564:INFO:master_model_container: 34
- 2022-01-18 15:50:30,564:INFO:display_container: 9
- 2022-01-18 15:50:30,564:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.2, loss='deviance', max_depth=11,
- max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.1, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=60,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=0.75, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:50:30,564:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:50:30,648:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:50:30,658:INFO:create_model_container: 34
- 2022-01-18 15:50:30,658:INFO:master_model_container: 34
- 2022-01-18 15:50:30,659:INFO:display_container: 9
- 2022-01-18 15:50:30,659:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.2, loss='deviance', max_depth=11,
- max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.1, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=60,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=0.75, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-18 15:50:30,659:INFO:tune_model() succesfully completed......................................
- 2022-01-18 15:51:00,750:INFO:Initializing ensemble_model()
- 2022-01-18 15:51:00,751:INFO:ensemble_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- 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)
- 2022-01-18 15:51:00,751:INFO:Checking exceptions
- 2022-01-18 15:51:00,752:INFO:Preparing display monitor
- 2022-01-18 15:51:00,764:INFO:Importing libraries
- 2022-01-18 15:51:00,764:INFO:Copying training dataset
- 2022-01-18 15:51:00,766:INFO:Checking base model
- 2022-01-18 15:51:00,766:INFO:Base model : Random Forest Classifier
- 2022-01-18 15:51:00,776:INFO:Importing untrained ensembler
- 2022-01-18 15:51:00,777:INFO:Ensemble method set to Bagging
- 2022-01-18 15:51:00,777:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:51:00,778:INFO:Initializing create_model()
- 2022-01-18 15:51:00,778:INFO:create_model(estimator=BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:51:00,778:INFO:Checking exceptions
- 2022-01-18 15:51:00,779:INFO:Importing libraries
- 2022-01-18 15:51:00,779:INFO:Copying training dataset
- 2022-01-18 15:51:00,780:INFO:Defining folds
- 2022-01-18 15:51:00,780:INFO:Declaring metric variables
- 2022-01-18 15:51:00,785:INFO:Importing untrained model
- 2022-01-18 15:51:00,786:INFO:Declaring custom model
- 2022-01-18 15:51:00,791:INFO:Random Forest Classifier Imported succesfully
- 2022-01-18 15:51:00,804:INFO:Starting cross validation
- 2022-01-18 15:51:00,805:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:51:19,688:INFO:Calculating mean and std
- 2022-01-18 15:51:19,689:INFO:Creating metrics dataframe
- 2022-01-18 15:51:19,696:INFO:Finalizing model
- 2022-01-18 15:51:21,400:INFO:Uploading results into container
- 2022-01-18 15:51:21,400:INFO:Uploading model into container now
- 2022-01-18 15:51:21,400:INFO:create_model_container: 35
- 2022-01-18 15:51:21,400:INFO:master_model_container: 35
- 2022-01-18 15:51:21,401:INFO:display_container: 10
- 2022-01-18 15:51:21,401:INFO:BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:21,402:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:51:21,487:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:51:21,497:INFO:create_model_container: 35
- 2022-01-18 15:51:21,497:INFO:master_model_container: 35
- 2022-01-18 15:51:21,497:INFO:display_container: 10
- 2022-01-18 15:51:21,498:INFO:BaggingClassifier(base_estimator=RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:21,498:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:51:21,585:INFO:Initializing ensemble_model()
- 2022-01-18 15:51:21,585:INFO:ensemble_model(estimator=ExtraTreesClassifier(bootstrap=True, ccp_alpha=0.0, class_weight={},
- criterion='entropy', max_depth=11, max_features='sqrt',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.002, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=9,
- min_weight_fraction_leaf=0.0, n_estimators=30, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- 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)
- 2022-01-18 15:51:21,585:INFO:Checking exceptions
- 2022-01-18 15:51:21,586:INFO:Preparing display monitor
- 2022-01-18 15:51:21,597:INFO:Importing libraries
- 2022-01-18 15:51:21,597:INFO:Copying training dataset
- 2022-01-18 15:51:21,598:INFO:Checking base model
- 2022-01-18 15:51:21,598:INFO:Base model : Extra Trees Classifier
- 2022-01-18 15:51:21,608:INFO:Importing untrained ensembler
- 2022-01-18 15:51:21,608:INFO:Ensemble method set to Bagging
- 2022-01-18 15:51:21,609:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:51:21,610:INFO:Initializing create_model()
- 2022-01-18 15:51:21,610:INFO:create_model(estimator=BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:51:21,610:INFO:Checking exceptions
- 2022-01-18 15:51:21,610:INFO:Importing libraries
- 2022-01-18 15:51:21,610:INFO:Copying training dataset
- 2022-01-18 15:51:21,611:INFO:Defining folds
- 2022-01-18 15:51:21,612:INFO:Declaring metric variables
- 2022-01-18 15:51:21,616:INFO:Importing untrained model
- 2022-01-18 15:51:21,617:INFO:Declaring custom model
- 2022-01-18 15:51:21,622:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-18 15:51:21,632:INFO:Starting cross validation
- 2022-01-18 15:51:21,633:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:51:40,344:INFO:Calculating mean and std
- 2022-01-18 15:51:40,345:INFO:Creating metrics dataframe
- 2022-01-18 15:51:40,352:INFO:Finalizing model
- 2022-01-18 15:51:42,023:INFO:Uploading results into container
- 2022-01-18 15:51:42,024:INFO:Uploading model into container now
- 2022-01-18 15:51:42,024:INFO:create_model_container: 36
- 2022-01-18 15:51:42,024:INFO:master_model_container: 36
- 2022-01-18 15:51:42,024:INFO:display_container: 11
- 2022-01-18 15:51:42,025:INFO:BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:42,025:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:51:42,108:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:51:42,117:INFO:create_model_container: 36
- 2022-01-18 15:51:42,118:INFO:master_model_container: 36
- 2022-01-18 15:51:42,118:INFO:display_container: 11
- 2022-01-18 15:51:42,119:INFO:BaggingClassifier(base_estimator=ExtraTreesClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight={},
- criterion='entropy',
- max_depth=11,
- max_features='sqrt',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.002,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=9,
- min_weight_fraction_leaf=0.0,
- n_estimators=30,
- n_jobs=-1,
- oob_score=False,
- random_state=7473,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:42,119:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:51:42,205:INFO:Initializing ensemble_model()
- 2022-01-18 15:51:42,205:INFO:ensemble_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=11, max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.0005, min_impurity_split=None,
- min_samples_leaf=6, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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)
- 2022-01-18 15:51:42,205:INFO:Checking exceptions
- 2022-01-18 15:51:42,206:INFO:Preparing display monitor
- 2022-01-18 15:51:42,217:INFO:Importing libraries
- 2022-01-18 15:51:42,217:INFO:Copying training dataset
- 2022-01-18 15:51:42,218:INFO:Checking base model
- 2022-01-18 15:51:42,218:INFO:Base model : Decision Tree Classifier
- 2022-01-18 15:51:42,228:INFO:Importing untrained ensembler
- 2022-01-18 15:51:42,228:INFO:Ensemble method set to Bagging
- 2022-01-18 15:51:42,228:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:51:42,229:INFO:Initializing create_model()
- 2022-01-18 15:51:42,229:INFO:create_model(estimator=BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.0005,
- min_impurity_split=None,
- min_samples_leaf=6,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- presort='deprecated',
- random_state=7473,
- splitter='best'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:51:42,229:INFO:Checking exceptions
- 2022-01-18 15:51:42,229:INFO:Importing libraries
- 2022-01-18 15:51:42,230:INFO:Copying training dataset
- 2022-01-18 15:51:42,231:INFO:Defining folds
- 2022-01-18 15:51:42,231:INFO:Declaring metric variables
- 2022-01-18 15:51:42,236:INFO:Importing untrained model
- 2022-01-18 15:51:42,236:INFO:Declaring custom model
- 2022-01-18 15:51:42,241:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-18 15:51:42,252:INFO:Starting cross validation
- 2022-01-18 15:51:42,252:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:51:45,143:INFO:Calculating mean and std
- 2022-01-18 15:51:45,143:INFO:Creating metrics dataframe
- 2022-01-18 15:51:45,150:INFO:Finalizing model
- 2022-01-18 15:51:45,443:INFO:Uploading results into container
- 2022-01-18 15:51:45,443:INFO:Uploading model into container now
- 2022-01-18 15:51:45,443:INFO:create_model_container: 37
- 2022-01-18 15:51:45,443:INFO:master_model_container: 37
- 2022-01-18 15:51:45,444:INFO:display_container: 12
- 2022-01-18 15:51:45,444:INFO:BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.0005,
- min_impurity_split=None,
- min_samples_leaf=6,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- presort='deprecated',
- random_state=7473,
- splitter='best'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:45,445:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:51:45,528:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:51:45,539:INFO:create_model_container: 37
- 2022-01-18 15:51:45,539:INFO:master_model_container: 37
- 2022-01-18 15:51:45,539:INFO:display_container: 12
- 2022-01-18 15:51:45,540:INFO:BaggingClassifier(base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.0005,
- min_impurity_split=None,
- min_samples_leaf=6,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- presort='deprecated',
- random_state=7473,
- splitter='best'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:51:45,540:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:51:45,624:INFO:Initializing ensemble_model()
- 2022-01-18 15:51:45,625:INFO:ensemble_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='manhattan',
- metric_params=None, n_jobs=-1, n_neighbors=32, p=2,
- 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)
- 2022-01-18 15:51:45,625:INFO:Checking exceptions
- 2022-01-18 15:51:45,626:INFO:Preparing display monitor
- 2022-01-18 15:51:45,636:INFO:Importing libraries
- 2022-01-18 15:51:45,637:INFO:Copying training dataset
- 2022-01-18 15:51:45,638:INFO:Checking base model
- 2022-01-18 15:51:45,638:INFO:Base model : K Neighbors Classifier
- 2022-01-18 15:51:45,647:INFO:Importing untrained ensembler
- 2022-01-18 15:51:45,648:INFO:Ensemble method set to Bagging
- 2022-01-18 15:51:45,648:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:51:45,649:INFO:Initializing create_model()
- 2022-01-18 15:51:45,649:INFO:create_model(estimator=BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
- leaf_size=30,
- metric='manhattan',
- metric_params=None,
- n_jobs=-1, n_neighbors=32,
- p=2, weights='distance'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:51:45,649:INFO:Checking exceptions
- 2022-01-18 15:51:45,649:INFO:Importing libraries
- 2022-01-18 15:51:45,650:INFO:Copying training dataset
- 2022-01-18 15:51:45,651:INFO:Defining folds
- 2022-01-18 15:51:45,651:INFO:Declaring metric variables
- 2022-01-18 15:51:45,656:INFO:Importing untrained model
- 2022-01-18 15:51:45,656:INFO:Declaring custom model
- 2022-01-18 15:51:45,662:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-18 15:51:45,673:INFO:Starting cross validation
- 2022-01-18 15:51:45,673:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:54:41,160:INFO:Calculating mean and std
- 2022-01-18 15:54:41,161:INFO:Creating metrics dataframe
- 2022-01-18 15:54:41,168:INFO:Finalizing model
- 2022-01-18 15:54:55,488:INFO:Uploading results into container
- 2022-01-18 15:54:55,489:INFO:Uploading model into container now
- 2022-01-18 15:54:55,489:INFO:create_model_container: 38
- 2022-01-18 15:54:55,489:INFO:master_model_container: 38
- 2022-01-18 15:54:55,489:INFO:display_container: 13
- 2022-01-18 15:54:55,490:INFO:BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
- leaf_size=30,
- metric='manhattan',
- metric_params=None,
- n_jobs=-1, n_neighbors=32,
- p=2, weights='distance'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:54:55,490:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:54:55,575:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:54:55,585:INFO:create_model_container: 38
- 2022-01-18 15:54:55,585:INFO:master_model_container: 38
- 2022-01-18 15:54:55,586:INFO:display_container: 13
- 2022-01-18 15:54:55,586:INFO:BaggingClassifier(base_estimator=KNeighborsClassifier(algorithm='auto',
- leaf_size=30,
- metric='manhattan',
- metric_params=None,
- n_jobs=-1, n_neighbors=32,
- p=2, weights='distance'),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:54:55,586:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:54:55,680:INFO:Initializing ensemble_model()
- 2022-01-18 15:54:55,681:INFO:ensemble_model(estimator=LGBMClassifier(bagging_fraction=0.5, bagging_freq=3, boosting_type='gbdt',
- class_weight=None, colsample_bytree=1.0, feature_fraction=0.9,
- importance_type='split', learning_rate=0.15, max_depth=-1,
- min_child_samples=61, min_child_weight=0.001, min_split_gain=0.5,
- n_estimators=120, n_jobs=-1, num_leaves=90, objective=None,
- random_state=7473, reg_alpha=0.4, reg_lambda=0.0005,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- 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)
- 2022-01-18 15:54:55,681:INFO:Checking exceptions
- 2022-01-18 15:54:55,682:INFO:Preparing display monitor
- 2022-01-18 15:54:55,692:INFO:Importing libraries
- 2022-01-18 15:54:55,692:INFO:Copying training dataset
- 2022-01-18 15:54:55,694:INFO:Checking base model
- 2022-01-18 15:54:55,694:INFO:Base model : Light Gradient Boosting Machine
- 2022-01-18 15:54:55,704:INFO:Importing untrained ensembler
- 2022-01-18 15:54:55,704:INFO:Ensemble method set to Bagging
- 2022-01-18 15:54:55,705:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:54:55,706:INFO:Initializing create_model()
- 2022-01-18 15:54:55,706:INFO:create_model(estimator=BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
- bagging_freq=3,
- boosting_type='gbdt',
- class_weight=None,
- colsample_bytree=1.0,
- feature_fraction=0.9,
- importance_type='split',
- learning_rate=0.15,
- max_depth=-1,
- min_child_samples=61,
- min_child_weight=0.001,
- min_split_gain=0.5,
- n_estimators=120, n_jobs=-1,
- num_leaves=90, objective=None,
- random_state=7473,
- reg_alpha=0.4,
- reg_lambda=0.0005,
- silent='warn', subsample=1.0,
- subsample_for_bin=200000,
- subsample_freq=0),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:54:55,706:INFO:Checking exceptions
- 2022-01-18 15:54:55,707:INFO:Importing libraries
- 2022-01-18 15:54:55,707:INFO:Copying training dataset
- 2022-01-18 15:54:55,708:INFO:Defining folds
- 2022-01-18 15:54:55,708:INFO:Declaring metric variables
- 2022-01-18 15:54:55,713:INFO:Importing untrained model
- 2022-01-18 15:54:55,713:INFO:Declaring custom model
- 2022-01-18 15:54:55,719:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-18 15:54:55,729:INFO:Starting cross validation
- 2022-01-18 15:54:55,730:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:55:56,691:INFO:Calculating mean and std
- 2022-01-18 15:55:56,692:INFO:Creating metrics dataframe
- 2022-01-18 15:55:56,699:INFO:Finalizing model
- 2022-01-18 15:56:03,239:INFO:Uploading results into container
- 2022-01-18 15:56:03,239:INFO:Uploading model into container now
- 2022-01-18 15:56:03,240:INFO:create_model_container: 39
- 2022-01-18 15:56:03,240:INFO:master_model_container: 39
- 2022-01-18 15:56:03,240:INFO:display_container: 14
- 2022-01-18 15:56:03,241:INFO:BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
- bagging_freq=3,
- boosting_type='gbdt',
- class_weight=None,
- colsample_bytree=1.0,
- feature_fraction=0.9,
- importance_type='split',
- learning_rate=0.15,
- max_depth=-1,
- min_child_samples=61,
- min_child_weight=0.001,
- min_split_gain=0.5,
- n_estimators=120, n_jobs=-1,
- num_leaves=90, objective=None,
- random_state=7473,
- reg_alpha=0.4,
- reg_lambda=0.0005,
- silent='warn', subsample=1.0,
- subsample_for_bin=200000,
- subsample_freq=0),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:56:03,241:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:56:03,320:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:56:03,330:INFO:create_model_container: 39
- 2022-01-18 15:56:03,330:INFO:master_model_container: 39
- 2022-01-18 15:56:03,330:INFO:display_container: 14
- 2022-01-18 15:56:03,331:INFO:BaggingClassifier(base_estimator=LGBMClassifier(bagging_fraction=0.5,
- bagging_freq=3,
- boosting_type='gbdt',
- class_weight=None,
- colsample_bytree=1.0,
- feature_fraction=0.9,
- importance_type='split',
- learning_rate=0.15,
- max_depth=-1,
- min_child_samples=61,
- min_child_weight=0.001,
- min_split_gain=0.5,
- n_estimators=120, n_jobs=-1,
- num_leaves=90, objective=None,
- random_state=7473,
- reg_alpha=0.4,
- reg_lambda=0.0005,
- silent='warn', subsample=1.0,
- subsample_for_bin=200000,
- subsample_freq=0),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:56:03,331:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:56:03,430:INFO:Initializing ensemble_model()
- 2022-01-18 15:56:03,430:INFO:ensemble_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.2, loss='deviance', max_depth=11,
- max_features=1.0, max_leaf_nodes=None,
- min_impurity_decrease=0.1, min_impurity_split=None,
- min_samples_leaf=5, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=60,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=0.75, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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)
- 2022-01-18 15:56:03,431:INFO:Checking exceptions
- 2022-01-18 15:56:03,432:INFO:Preparing display monitor
- 2022-01-18 15:56:03,442:INFO:Importing libraries
- 2022-01-18 15:56:03,443:INFO:Copying training dataset
- 2022-01-18 15:56:03,444:INFO:Checking base model
- 2022-01-18 15:56:03,444:INFO:Base model : Gradient Boosting Classifier
- 2022-01-18 15:56:03,454:INFO:Importing untrained ensembler
- 2022-01-18 15:56:03,454:INFO:Ensemble method set to Bagging
- 2022-01-18 15:56:03,454:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:56:03,455:INFO:Initializing create_model()
- 2022-01-18 15:56:03,456:INFO:create_model(estimator=BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
- criterion='friedman_mse',
- init=None,
- learning_rate=0.2,
- loss='deviance',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.1,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=60,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=0.75,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- 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={})
- 2022-01-18 15:56:03,456:INFO:Checking exceptions
- 2022-01-18 15:56:03,456:INFO:Importing libraries
- 2022-01-18 15:56:03,456:INFO:Copying training dataset
- 2022-01-18 15:56:03,457:INFO:Defining folds
- 2022-01-18 15:56:03,458:INFO:Declaring metric variables
- 2022-01-18 15:56:03,463:INFO:Importing untrained model
- 2022-01-18 15:56:03,463:INFO:Declaring custom model
- 2022-01-18 15:56:03,468:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-18 15:56:03,479:INFO:Starting cross validation
- 2022-01-18 15:56:03,479:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:58:16,629:INFO:Calculating mean and std
- 2022-01-18 15:58:16,630:INFO:Creating metrics dataframe
- 2022-01-18 15:58:16,637:INFO:Finalizing model
- 2022-01-18 15:58:31,795:INFO:Uploading results into container
- 2022-01-18 15:58:31,796:INFO:Uploading model into container now
- 2022-01-18 15:58:31,796:INFO:create_model_container: 40
- 2022-01-18 15:58:31,796:INFO:master_model_container: 40
- 2022-01-18 15:58:31,796:INFO:display_container: 15
- 2022-01-18 15:58:31,797:INFO:BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
- criterion='friedman_mse',
- init=None,
- learning_rate=0.2,
- loss='deviance',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.1,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=60,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=0.75,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:58:31,797:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:58:31,876:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:58:31,885:INFO:create_model_container: 40
- 2022-01-18 15:58:31,886:INFO:master_model_container: 40
- 2022-01-18 15:58:31,886:INFO:display_container: 15
- 2022-01-18 15:58:31,887:INFO:BaggingClassifier(base_estimator=GradientBoostingClassifier(ccp_alpha=0.0,
- criterion='friedman_mse',
- init=None,
- learning_rate=0.2,
- loss='deviance',
- max_depth=11,
- max_features=1.0,
- max_leaf_nodes=None,
- min_impurity_decrease=0.1,
- min_impurity_split=None,
- min_samples_leaf=5,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=60,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=0.75,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False),
- bootstrap=True, bootstrap_features=False, max_features=1.0,
- max_samples=1.0, n_estimators=10, n_jobs=1, oob_score=False,
- random_state=7473, verbose=0, warm_start=False)
- 2022-01-18 15:58:31,887:INFO:ensemble_model() succesfully completed......................................
- 2022-01-18 15:58:31,977:INFO:Initializing blend_models()
- 2022-01-18 15:58:31,977:INFO:blend_models(estimator_list=[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=7473, verbose=0,
- warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=7473, verbose=0,
- warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=7473, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=7473, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=7473, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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)
- 2022-01-18 15:58:31,977:INFO:Checking exceptions
- 2022-01-18 15:58:31,978:INFO:Preparing display monitor
- 2022-01-18 15:58:31,988:INFO:Importing libraries
- 2022-01-18 15:58:31,989:INFO:Copying training dataset
- 2022-01-18 15:58:31,995:INFO:Getting model names
- 2022-01-18 15:58:32,000:INFO:SubProcess create_model() called ==================================
- 2022-01-18 15:58:32,004:INFO:Initializing create_model()
- 2022-01-18 15:58:32,005:INFO:create_model(estimator=VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- 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={})
- 2022-01-18 15:58:32,005:INFO:Checking exceptions
- 2022-01-18 15:58:32,005:INFO:Importing libraries
- 2022-01-18 15:58:32,005:INFO:Copying training dataset
- 2022-01-18 15:58:32,007:INFO:Defining folds
- 2022-01-18 15:58:32,007:INFO:Declaring metric variables
- 2022-01-18 15:58:32,012:INFO:Importing untrained model
- 2022-01-18 15:58:32,013:INFO:Declaring custom model
- 2022-01-18 15:58:32,020:INFO:Voting Classifier Imported succesfully
- 2022-01-18 15:58:32,031:INFO:Starting cross validation
- 2022-01-18 15:58:32,031:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-18 15:59:19,663:INFO:Calculating mean and std
- 2022-01-18 15:59:19,664:INFO:Creating metrics dataframe
- 2022-01-18 15:59:19,671:INFO:Finalizing model
- 2022-01-18 15:59:24,372:INFO:Uploading results into container
- 2022-01-18 15:59:24,373:INFO:Uploading model into container now
- 2022-01-18 15:59:24,373:INFO:create_model_container: 41
- 2022-01-18 15:59:24,373:INFO:master_model_container: 41
- 2022-01-18 15:59:24,373:INFO:display_container: 16
- 2022-01-18 15:59:24,377:INFO:VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- weights=None)
- 2022-01-18 15:59:24,378:INFO:create_model() succesfully completed......................................
- 2022-01-18 15:59:24,458:INFO:SubProcess create_model() end ==================================
- 2022-01-18 15:59:24,468:INFO:create_model_container: 41
- 2022-01-18 15:59:24,468:INFO:master_model_container: 41
- 2022-01-18 15:59:24,468:INFO:display_container: 16
- 2022-01-18 15:59:24,473:INFO:VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- weights=None)
- 2022-01-18 15:59:24,473:INFO:blend_models() succesfully completed......................................
- 2022-01-18 15:59:24,557:INFO:Initializing automl()
- 2022-01-18 15:59:24,557:INFO:automl(optimize=F1, use_holdout=False)
- 2022-01-18 15:59:24,558:INFO:Model Selection Basis : CV Results on Training set
- 2022-01-18 15:59:24,565:INFO:Initializing create_model()
- 2022-01-18 15:59:24,565:INFO:create_model(estimator=VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- 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={})
- 2022-01-18 15:59:24,566:INFO:Checking exceptions
- 2022-01-18 15:59:24,566:INFO:Importing libraries
- 2022-01-18 15:59:24,566:INFO:Copying training dataset
- 2022-01-18 15:59:24,567:INFO:Defining folds
- 2022-01-18 15:59:24,567:INFO:Declaring metric variables
- 2022-01-18 15:59:24,567:INFO:Importing untrained model
- 2022-01-18 15:59:24,567:INFO:Declaring custom model
- 2022-01-18 15:59:24,569:INFO:Voting Classifier Imported succesfully
- 2022-01-18 15:59:24,569:INFO:Cross validation set to False
- 2022-01-18 15:59:24,570:INFO:Fitting Model
- 2022-01-18 15:59:29,312:INFO:VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- weights=None)
- 2022-01-18 15:59:29,312:INFO:create_models() succesfully completed......................................
- 2022-01-18 15:59:29,395:INFO:VotingClassifier(estimators=[('rf',
- RandomForestClassifier(bootstrap=True,
- ccp_alpha=0.0,
- class_weight=None,
- criterion='gini',
- max_depth=None,
- max_features='auto',
- max_leaf_nodes=None,
- max_samples=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_jobs=-1, oob_score=F...
- max_leaf_nodes=None,
- min_impurity_decrease=0.0,
- min_impurity_split=None,
- min_samples_leaf=1,
- min_samples_split=2,
- min_weight_fraction_leaf=0.0,
- n_estimators=100,
- n_iter_no_change=None,
- presort='deprecated',
- random_state=7473,
- subsample=1.0,
- tol=0.0001,
- validation_fraction=0.1,
- verbose=0,
- warm_start=False))],
- flatten_transform=True, n_jobs=1, verbose=False, voting='soft',
- weights=None)
- 2022-01-18 15:59:29,395:INFO:automl() succesfully completed......................................
- 2022-01-24 17:00:57,351:INFO:PyCaret Supervised Module
- 2022-01-24 17:00:57,352:INFO:ML Usecase: classification
- 2022-01-24 17:00:57,352:INFO:version 2.3.6
- 2022-01-24 17:00:57,352:INFO:Initializing setup()
- 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)
- 2022-01-24 17:00:57,353:INFO:Checking environment
- 2022-01-24 17:00:57,353:INFO:python_version: 3.8.8
- 2022-01-24 17:00:57,353:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-24 17:00:57,353:INFO:machine: x86_64
- 2022-01-24 17:00:57,353:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-24 17:00:57,354:INFO:Physical Core: 16
- 2022-01-24 17:00:57,354:INFO:Logical Core: 32
- 2022-01-24 17:00:57,354:INFO:Checking libraries
- 2022-01-24 17:00:57,355:INFO:pd==1.2.4
- 2022-01-24 17:00:57,355:INFO:numpy==1.19.5
- 2022-01-24 17:00:57,355:INFO:sklearn==0.23.2
- 2022-01-24 17:00:57,355:INFO:lightgbm==3.3.2
- 2022-01-24 17:00:57,356:WARNING:catboost not found
- 2022-01-24 17:00:57,356:WARNING:xgboost not found
- 2022-01-24 17:00:57,356:INFO:mlflow==1.22.0
- 2022-01-24 17:00:57,356:INFO:Checking Exceptions
- 2022-01-24 17:00:57,357:INFO:Declaring global variables
- 2022-01-24 17:00:57,357:INFO:USI: 5f8a
- 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'}
- 2022-01-24 17:00:57,357:INFO:Preparing display monitor
- 2022-01-24 17:00:57,357:INFO:Preparing display monitor
- 2022-01-24 17:00:57,365:INFO:Importing libraries
- 2022-01-24 17:00:57,366:INFO:Copying data for preprocessing
- 2022-01-24 17:00:57,372:INFO:Declaring preprocessing parameters
- 2022-01-24 17:00:57,372:WARNING:cuML not found
- 2022-01-24 17:00:57,372:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-24 17:00:57,375:INFO:Creating preprocessing pipeline
- 2022-01-24 17:00:57,404:INFO:Preprocessing pipeline created successfully
- 2022-01-24 17:00:57,404:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-24 17:00:57,405:INFO:Creating global containers
- 2022-01-24 17:00:57,405:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-24 17:01:00,466:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-24 17:01:00,493:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-24 17:01:00,494:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-24 17:01:00,495:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-24 17:01:00,509:WARNING:Couldn't import cuml.linear_model
- 2022-01-24 17:01:00,512:WARNING:Couldn't import cuml.ensemble
- 2022-01-24 17:01:00,513:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-24 17:01:00,516:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-24 17:01:00,517:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-24 17:01:00,551:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-24 17:01:00,552:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-24 17:01:00,553:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-24 17:01:00,567:WARNING:Couldn't import cuml.linear_model
- 2022-01-24 17:01:00,571:WARNING:Couldn't import cuml.ensemble
- 2022-01-24 17:01:00,572:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-24 17:01:00,576:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-24 17:01:00,577:INFO:Creating grid variables
- 2022-01-24 17:01:00,590:INFO:create_model_container: 0
- 2022-01-24 17:01:00,590:INFO:master_model_container: 0
- 2022-01-24 17:01:00,591:INFO:display_container: 1
- 2022-01-24 17:01:00,593:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-24 17:01:00,594:INFO:setup() succesfully completed......................................
- 2022-01-24 17:08:20,805:INFO:Initializing compare_models()
- 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)
- 2022-01-24 17:08:20,806:INFO:Checking exceptions
- 2022-01-24 17:08:20,807:INFO:Preparing display monitor
- 2022-01-24 17:08:20,807:INFO:Preparing display monitor
- 2022-01-24 17:08:20,823:INFO:Initializing Logistic Regression
- 2022-01-24 17:08:20,823:INFO:Total runtime is 6.004174550374349e-06 minutes
- 2022-01-24 17:08:20,829:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:20,829:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:20,829:INFO:Checking exceptions
- 2022-01-24 17:08:20,829:INFO:Importing libraries
- 2022-01-24 17:08:20,830:INFO:Copying training dataset
- 2022-01-24 17:08:20,832:INFO:Defining folds
- 2022-01-24 17:08:20,832:INFO:Declaring metric variables
- 2022-01-24 17:08:20,837:INFO:Importing untrained model
- 2022-01-24 17:08:20,842:INFO:Logistic Regression Imported succesfully
- 2022-01-24 17:08:20,852:INFO:Starting cross validation
- 2022-01-24 17:08:20,853:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:28,104:INFO:Calculating mean and std
- 2022-01-24 17:08:28,107:INFO:Creating metrics dataframe
- 2022-01-24 17:08:28,115:INFO:Uploading results into container
- 2022-01-24 17:08:28,116:INFO:Uploading model into container now
- 2022-01-24 17:08:28,117:INFO:create_model_container: 1
- 2022-01-24 17:08:28,117:INFO:master_model_container: 1
- 2022-01-24 17:08:28,117:INFO:display_container: 2
- 2022-01-24 17:08:28,118:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=6174, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-24 17:08:28,118:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:28,216:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:28,216:INFO:Creating metrics dataframe
- 2022-01-24 17:08:28,225:INFO:Initializing K Neighbors Classifier
- 2022-01-24 17:08:28,225:INFO:Total runtime is 0.12337379852930705 minutes
- 2022-01-24 17:08:28,231:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:28,231:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:28,231:INFO:Checking exceptions
- 2022-01-24 17:08:28,232:INFO:Importing libraries
- 2022-01-24 17:08:28,232:INFO:Copying training dataset
- 2022-01-24 17:08:28,233:INFO:Defining folds
- 2022-01-24 17:08:28,233:INFO:Declaring metric variables
- 2022-01-24 17:08:28,238:INFO:Importing untrained model
- 2022-01-24 17:08:28,242:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-24 17:08:28,252:INFO:Starting cross validation
- 2022-01-24 17:08:28,253:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:46,894:INFO:Calculating mean and std
- 2022-01-24 17:08:46,895:INFO:Creating metrics dataframe
- 2022-01-24 17:08:46,898:INFO:Uploading results into container
- 2022-01-24 17:08:46,898:INFO:Uploading model into container now
- 2022-01-24 17:08:46,898:INFO:create_model_container: 2
- 2022-01-24 17:08:46,898:INFO:master_model_container: 2
- 2022-01-24 17:08:46,898:INFO:display_container: 2
- 2022-01-24 17:08:46,899:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-24 17:08:46,899:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:46,995:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:46,996:INFO:Creating metrics dataframe
- 2022-01-24 17:08:47,006:INFO:Initializing Naive Bayes
- 2022-01-24 17:08:47,007:INFO:Total runtime is 0.43639185825983684 minutes
- 2022-01-24 17:08:47,012:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:47,013:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:47,013:INFO:Checking exceptions
- 2022-01-24 17:08:47,013:INFO:Importing libraries
- 2022-01-24 17:08:47,013:INFO:Copying training dataset
- 2022-01-24 17:08:47,016:INFO:Defining folds
- 2022-01-24 17:08:47,016:INFO:Declaring metric variables
- 2022-01-24 17:08:47,022:INFO:Importing untrained model
- 2022-01-24 17:08:47,026:INFO:Naive Bayes Imported succesfully
- 2022-01-24 17:08:47,038:INFO:Starting cross validation
- 2022-01-24 17:08:47,038:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:47,286:INFO:Calculating mean and std
- 2022-01-24 17:08:47,287:INFO:Creating metrics dataframe
- 2022-01-24 17:08:47,290:INFO:Uploading results into container
- 2022-01-24 17:08:47,290:INFO:Uploading model into container now
- 2022-01-24 17:08:47,290:INFO:create_model_container: 3
- 2022-01-24 17:08:47,290:INFO:master_model_container: 3
- 2022-01-24 17:08:47,291:INFO:display_container: 2
- 2022-01-24 17:08:47,291:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-24 17:08:47,291:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:47,374:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:47,374:INFO:Creating metrics dataframe
- 2022-01-24 17:08:47,385:INFO:Initializing Decision Tree Classifier
- 2022-01-24 17:08:47,385:INFO:Total runtime is 0.442702062924703 minutes
- 2022-01-24 17:08:47,390:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:47,391:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:47,391:INFO:Checking exceptions
- 2022-01-24 17:08:47,391:INFO:Importing libraries
- 2022-01-24 17:08:47,391:INFO:Copying training dataset
- 2022-01-24 17:08:47,393:INFO:Defining folds
- 2022-01-24 17:08:47,393:INFO:Declaring metric variables
- 2022-01-24 17:08:47,397:INFO:Importing untrained model
- 2022-01-24 17:08:47,403:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-24 17:08:47,413:INFO:Starting cross validation
- 2022-01-24 17:08:47,414:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:48,371:INFO:Calculating mean and std
- 2022-01-24 17:08:48,372:INFO:Creating metrics dataframe
- 2022-01-24 17:08:48,374:INFO:Uploading results into container
- 2022-01-24 17:08:48,374:INFO:Uploading model into container now
- 2022-01-24 17:08:48,375:INFO:create_model_container: 4
- 2022-01-24 17:08:48,375:INFO:master_model_container: 4
- 2022-01-24 17:08:48,375:INFO:display_container: 2
- 2022-01-24 17:08:48,375:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6174, splitter='best')
- 2022-01-24 17:08:48,376:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:48,452:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:48,452:INFO:Creating metrics dataframe
- 2022-01-24 17:08:48,463:INFO:Initializing SVM - Linear Kernel
- 2022-01-24 17:08:48,464:INFO:Total runtime is 0.46067760785420736 minutes
- 2022-01-24 17:08:48,469:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:48,469:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:48,470:INFO:Checking exceptions
- 2022-01-24 17:08:48,470:INFO:Importing libraries
- 2022-01-24 17:08:48,470:INFO:Copying training dataset
- 2022-01-24 17:08:48,471:INFO:Defining folds
- 2022-01-24 17:08:48,471:INFO:Declaring metric variables
- 2022-01-24 17:08:48,476:INFO:Importing untrained model
- 2022-01-24 17:08:48,481:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-24 17:08:48,491:INFO:Starting cross validation
- 2022-01-24 17:08:48,491:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:49,731:INFO:Calculating mean and std
- 2022-01-24 17:08:49,732:INFO:Creating metrics dataframe
- 2022-01-24 17:08:49,736:INFO:Uploading results into container
- 2022-01-24 17:08:49,737:INFO:Uploading model into container now
- 2022-01-24 17:08:49,738:INFO:create_model_container: 5
- 2022-01-24 17:08:49,738:INFO:master_model_container: 5
- 2022-01-24 17:08:49,738:INFO:display_container: 2
- 2022-01-24 17:08:49,739:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=6174, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-24 17:08:49,739:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:49,847:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:49,847:INFO:Creating metrics dataframe
- 2022-01-24 17:08:49,858:INFO:Initializing Ridge Classifier
- 2022-01-24 17:08:49,858:INFO:Total runtime is 0.48392358620961506 minutes
- 2022-01-24 17:08:49,864:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:49,864:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:49,865:INFO:Checking exceptions
- 2022-01-24 17:08:49,865:INFO:Importing libraries
- 2022-01-24 17:08:49,865:INFO:Copying training dataset
- 2022-01-24 17:08:49,866:INFO:Defining folds
- 2022-01-24 17:08:49,866:INFO:Declaring metric variables
- 2022-01-24 17:08:49,871:INFO:Importing untrained model
- 2022-01-24 17:08:49,877:INFO:Ridge Classifier Imported succesfully
- 2022-01-24 17:08:49,887:INFO:Starting cross validation
- 2022-01-24 17:08:49,887:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:50,464:INFO:Calculating mean and std
- 2022-01-24 17:08:50,465:INFO:Creating metrics dataframe
- 2022-01-24 17:08:50,475:INFO:Uploading results into container
- 2022-01-24 17:08:50,475:INFO:Uploading model into container now
- 2022-01-24 17:08:50,475:INFO:create_model_container: 6
- 2022-01-24 17:08:50,475:INFO:master_model_container: 6
- 2022-01-24 17:08:50,475:INFO:display_container: 2
- 2022-01-24 17:08:50,476:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=6174,
- solver='auto', tol=0.001)
- 2022-01-24 17:08:50,476:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:50,576:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:50,576:INFO:Creating metrics dataframe
- 2022-01-24 17:08:50,588:INFO:Initializing Random Forest Classifier
- 2022-01-24 17:08:50,588:INFO:Total runtime is 0.49608110984166465 minutes
- 2022-01-24 17:08:50,593:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:50,593:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:50,594:INFO:Checking exceptions
- 2022-01-24 17:08:50,594:INFO:Importing libraries
- 2022-01-24 17:08:50,594:INFO:Copying training dataset
- 2022-01-24 17:08:50,595:INFO:Defining folds
- 2022-01-24 17:08:50,595:INFO:Declaring metric variables
- 2022-01-24 17:08:50,600:INFO:Importing untrained model
- 2022-01-24 17:08:50,605:INFO:Random Forest Classifier Imported succesfully
- 2022-01-24 17:08:50,615:INFO:Starting cross validation
- 2022-01-24 17:08:50,616:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:57,023:INFO:Calculating mean and std
- 2022-01-24 17:08:57,024:INFO:Creating metrics dataframe
- 2022-01-24 17:08:57,027:INFO:Uploading results into container
- 2022-01-24 17:08:57,027:INFO:Uploading model into container now
- 2022-01-24 17:08:57,027:INFO:create_model_container: 7
- 2022-01-24 17:08:57,027:INFO:master_model_container: 7
- 2022-01-24 17:08:57,027:INFO:display_container: 2
- 2022-01-24 17:08:57,028:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:08:57,028:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:57,113:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:57,113:INFO:Creating metrics dataframe
- 2022-01-24 17:08:57,125:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-24 17:08:57,125:INFO:Total runtime is 0.6050358931223552 minutes
- 2022-01-24 17:08:57,131:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:57,131:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:57,131:INFO:Checking exceptions
- 2022-01-24 17:08:57,131:INFO:Importing libraries
- 2022-01-24 17:08:57,132:INFO:Copying training dataset
- 2022-01-24 17:08:57,133:INFO:Defining folds
- 2022-01-24 17:08:57,133:INFO:Declaring metric variables
- 2022-01-24 17:08:57,137:INFO:Importing untrained model
- 2022-01-24 17:08:57,142:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-24 17:08:57,153:INFO:Starting cross validation
- 2022-01-24 17:08:57,153:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:08:58,319:INFO:Calculating mean and std
- 2022-01-24 17:08:58,320:INFO:Creating metrics dataframe
- 2022-01-24 17:08:58,324:INFO:Uploading results into container
- 2022-01-24 17:08:58,328:INFO:Uploading model into container now
- 2022-01-24 17:08:58,329:INFO:create_model_container: 8
- 2022-01-24 17:08:58,330:INFO:master_model_container: 8
- 2022-01-24 17:08:58,331:INFO:display_container: 2
- 2022-01-24 17:08:58,331:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-24 17:08:58,331:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:08:58,427:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:08:58,427:INFO:Creating metrics dataframe
- 2022-01-24 17:08:58,439:INFO:Initializing Ada Boost Classifier
- 2022-01-24 17:08:58,439:INFO:Total runtime is 0.6269395073254903 minutes
- 2022-01-24 17:08:58,445:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:08:58,445:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:08:58,446:INFO:Checking exceptions
- 2022-01-24 17:08:58,446:INFO:Importing libraries
- 2022-01-24 17:08:58,446:INFO:Copying training dataset
- 2022-01-24 17:08:58,447:INFO:Defining folds
- 2022-01-24 17:08:58,447:INFO:Declaring metric variables
- 2022-01-24 17:08:58,453:INFO:Importing untrained model
- 2022-01-24 17:08:58,458:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-24 17:08:58,469:INFO:Starting cross validation
- 2022-01-24 17:08:58,470:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:05,168:INFO:Calculating mean and std
- 2022-01-24 17:09:05,169:INFO:Creating metrics dataframe
- 2022-01-24 17:09:05,171:INFO:Uploading results into container
- 2022-01-24 17:09:05,171:INFO:Uploading model into container now
- 2022-01-24 17:09:05,171:INFO:create_model_container: 9
- 2022-01-24 17:09:05,172:INFO:master_model_container: 9
- 2022-01-24 17:09:05,172:INFO:display_container: 2
- 2022-01-24 17:09:05,172:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=6174)
- 2022-01-24 17:09:05,172:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:05,261:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:05,262:INFO:Creating metrics dataframe
- 2022-01-24 17:09:05,274:INFO:Initializing Gradient Boosting Classifier
- 2022-01-24 17:09:05,274:INFO:Total runtime is 0.7408567150433858 minutes
- 2022-01-24 17:09:05,280:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:05,280:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:05,280:INFO:Checking exceptions
- 2022-01-24 17:09:05,280:INFO:Importing libraries
- 2022-01-24 17:09:05,281:INFO:Copying training dataset
- 2022-01-24 17:09:05,282:INFO:Defining folds
- 2022-01-24 17:09:05,282:INFO:Declaring metric variables
- 2022-01-24 17:09:05,287:INFO:Importing untrained model
- 2022-01-24 17:09:05,292:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-24 17:09:05,302:INFO:Starting cross validation
- 2022-01-24 17:09:05,302:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:27,312:INFO:Calculating mean and std
- 2022-01-24 17:09:27,313:INFO:Creating metrics dataframe
- 2022-01-24 17:09:27,315:INFO:Uploading results into container
- 2022-01-24 17:09:27,315:INFO:Uploading model into container now
- 2022-01-24 17:09:27,316:INFO:create_model_container: 10
- 2022-01-24 17:09:27,316:INFO:master_model_container: 10
- 2022-01-24 17:09:27,316:INFO:display_container: 2
- 2022-01-24 17:09:27,316:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6174, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:27,316:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:27,395:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:27,396:INFO:Creating metrics dataframe
- 2022-01-24 17:09:27,409:INFO:Initializing Linear Discriminant Analysis
- 2022-01-24 17:09:27,409:INFO:Total runtime is 1.1097664793332418 minutes
- 2022-01-24 17:09:27,415:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:27,415:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:27,415:INFO:Checking exceptions
- 2022-01-24 17:09:27,415:INFO:Importing libraries
- 2022-01-24 17:09:27,416:INFO:Copying training dataset
- 2022-01-24 17:09:27,417:INFO:Defining folds
- 2022-01-24 17:09:27,417:INFO:Declaring metric variables
- 2022-01-24 17:09:27,422:INFO:Importing untrained model
- 2022-01-24 17:09:27,427:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-24 17:09:27,437:INFO:Starting cross validation
- 2022-01-24 17:09:27,437:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:29,313:INFO:Calculating mean and std
- 2022-01-24 17:09:29,316:INFO:Creating metrics dataframe
- 2022-01-24 17:09:29,320:INFO:Uploading results into container
- 2022-01-24 17:09:29,324:INFO:Uploading model into container now
- 2022-01-24 17:09:29,325:INFO:create_model_container: 11
- 2022-01-24 17:09:29,325:INFO:master_model_container: 11
- 2022-01-24 17:09:29,329:INFO:display_container: 2
- 2022-01-24 17:09:29,329:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-24 17:09:29,330:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:29,428:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:29,429:INFO:Creating metrics dataframe
- 2022-01-24 17:09:29,441:INFO:Initializing Extra Trees Classifier
- 2022-01-24 17:09:29,441:INFO:Total runtime is 1.1436361789703369 minutes
- 2022-01-24 17:09:29,447:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:29,447:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:29,447:INFO:Checking exceptions
- 2022-01-24 17:09:29,448:INFO:Importing libraries
- 2022-01-24 17:09:29,448:INFO:Copying training dataset
- 2022-01-24 17:09:29,449:INFO:Defining folds
- 2022-01-24 17:09:29,449:INFO:Declaring metric variables
- 2022-01-24 17:09:29,454:INFO:Importing untrained model
- 2022-01-24 17:09:29,459:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-24 17:09:29,469:INFO:Starting cross validation
- 2022-01-24 17:09:29,469:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:36,068:INFO:Calculating mean and std
- 2022-01-24 17:09:36,069:INFO:Creating metrics dataframe
- 2022-01-24 17:09:36,071:INFO:Uploading results into container
- 2022-01-24 17:09:36,071:INFO:Uploading model into container now
- 2022-01-24 17:09:36,071:INFO:create_model_container: 12
- 2022-01-24 17:09:36,072:INFO:master_model_container: 12
- 2022-01-24 17:09:36,072:INFO:display_container: 2
- 2022-01-24 17:09:36,072:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:36,072:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:36,158:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:36,158:INFO:Creating metrics dataframe
- 2022-01-24 17:09:36,171:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-24 17:09:36,171:INFO:Total runtime is 1.2558028976122537 minutes
- 2022-01-24 17:09:36,176:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:36,177:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:36,177:INFO:Checking exceptions
- 2022-01-24 17:09:36,177:INFO:Importing libraries
- 2022-01-24 17:09:36,177:INFO:Copying training dataset
- 2022-01-24 17:09:36,179:INFO:Defining folds
- 2022-01-24 17:09:36,179:INFO:Declaring metric variables
- 2022-01-24 17:09:36,184:INFO:Importing untrained model
- 2022-01-24 17:09:36,188:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-24 17:09:36,198:INFO:Starting cross validation
- 2022-01-24 17:09:36,199:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:39,308:INFO:Calculating mean and std
- 2022-01-24 17:09:39,309:INFO:Creating metrics dataframe
- 2022-01-24 17:09:39,312:INFO:Uploading results into container
- 2022-01-24 17:09:39,312:INFO:Uploading model into container now
- 2022-01-24 17:09:39,312:INFO:create_model_container: 13
- 2022-01-24 17:09:39,312:INFO:master_model_container: 13
- 2022-01-24 17:09:39,312:INFO:display_container: 2
- 2022-01-24 17:09:39,313:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-24 17:09:39,313:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:39,403:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:39,404:INFO:Creating metrics dataframe
- 2022-01-24 17:09:39,417:INFO:Initializing Dummy Classifier
- 2022-01-24 17:09:39,417:INFO:Total runtime is 1.309907301266988 minutes
- 2022-01-24 17:09:39,423:INFO:SubProcess create_model() called ==================================
- 2022-01-24 17:09:39,423:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:09:39,423:INFO:Checking exceptions
- 2022-01-24 17:09:39,423:INFO:Importing libraries
- 2022-01-24 17:09:39,424:INFO:Copying training dataset
- 2022-01-24 17:09:39,425:INFO:Defining folds
- 2022-01-24 17:09:39,425:INFO:Declaring metric variables
- 2022-01-24 17:09:39,430:INFO:Importing untrained model
- 2022-01-24 17:09:39,435:INFO:Dummy Classifier Imported succesfully
- 2022-01-24 17:09:39,445:INFO:Starting cross validation
- 2022-01-24 17:09:39,445:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:09:39,558:INFO:Calculating mean and std
- 2022-01-24 17:09:39,559:INFO:Creating metrics dataframe
- 2022-01-24 17:09:39,561:INFO:Uploading results into container
- 2022-01-24 17:09:39,562:INFO:Uploading model into container now
- 2022-01-24 17:09:39,562:INFO:create_model_container: 14
- 2022-01-24 17:09:39,562:INFO:master_model_container: 14
- 2022-01-24 17:09:39,562:INFO:display_container: 2
- 2022-01-24 17:09:39,562:INFO:DummyClassifier(constant=None, random_state=6174, strategy='prior')
- 2022-01-24 17:09:39,562:INFO:create_model() succesfully completed......................................
- 2022-01-24 17:09:39,646:INFO:SubProcess create_model() end ==================================
- 2022-01-24 17:09:39,646:INFO:Creating metrics dataframe
- 2022-01-24 17:09:39,671:INFO:Initializing create_model()
- 2022-01-24 17:09:39,672:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- 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={})
- 2022-01-24 17:09:39,672:INFO:Checking exceptions
- 2022-01-24 17:09:39,672:INFO:Importing libraries
- 2022-01-24 17:09:39,672:INFO:Copying training dataset
- 2022-01-24 17:09:39,674:INFO:Defining folds
- 2022-01-24 17:09:39,674:INFO:Declaring metric variables
- 2022-01-24 17:09:39,674:INFO:Importing untrained model
- 2022-01-24 17:09:39,674:INFO:Declaring custom model
- 2022-01-24 17:09:39,675:INFO:Random Forest Classifier Imported succesfully
- 2022-01-24 17:09:39,675:INFO:Cross validation set to False
- 2022-01-24 17:09:39,675:INFO:Fitting Model
- 2022-01-24 17:09:40,059:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:40,060:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:40,155:INFO:Initializing create_model()
- 2022-01-24 17:09:40,155:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6174, verbose=0,
- 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={})
- 2022-01-24 17:09:40,155:INFO:Checking exceptions
- 2022-01-24 17:09:40,155:INFO:Importing libraries
- 2022-01-24 17:09:40,156:INFO:Copying training dataset
- 2022-01-24 17:09:40,157:INFO:Defining folds
- 2022-01-24 17:09:40,157:INFO:Declaring metric variables
- 2022-01-24 17:09:40,157:INFO:Importing untrained model
- 2022-01-24 17:09:40,157:INFO:Declaring custom model
- 2022-01-24 17:09:40,158:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-24 17:09:40,158:INFO:Cross validation set to False
- 2022-01-24 17:09:40,158:INFO:Fitting Model
- 2022-01-24 17:09:40,478:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:40,478:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:40,583:INFO:Initializing create_model()
- 2022-01-24 17:09:40,583:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-24 17:09:40,583:INFO:Checking exceptions
- 2022-01-24 17:09:40,584:INFO:Importing libraries
- 2022-01-24 17:09:40,584:INFO:Copying training dataset
- 2022-01-24 17:09:40,585:INFO:Defining folds
- 2022-01-24 17:09:40,585:INFO:Declaring metric variables
- 2022-01-24 17:09:40,585:INFO:Importing untrained model
- 2022-01-24 17:09:40,585:INFO:Declaring custom model
- 2022-01-24 17:09:40,586:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-24 17:09:40,586:INFO:Cross validation set to False
- 2022-01-24 17:09:40,587:INFO:Fitting Model
- 2022-01-24 17:09:40,683:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6174, splitter='best')
- 2022-01-24 17:09:40,684:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:40,769:INFO:Initializing create_model()
- 2022-01-24 17:09:40,770:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-24 17:09:40,770:INFO:Checking exceptions
- 2022-01-24 17:09:40,770:INFO:Importing libraries
- 2022-01-24 17:09:40,770:INFO:Copying training dataset
- 2022-01-24 17:09:40,771:INFO:Defining folds
- 2022-01-24 17:09:40,771:INFO:Declaring metric variables
- 2022-01-24 17:09:40,772:INFO:Importing untrained model
- 2022-01-24 17:09:40,772:INFO:Declaring custom model
- 2022-01-24 17:09:40,772:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-24 17:09:40,772:INFO:Cross validation set to False
- 2022-01-24 17:09:40,773:INFO:Fitting Model
- 2022-01-24 17:09:42,392:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-24 17:09:42,392:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:42,474:INFO:Initializing create_model()
- 2022-01-24 17:09:42,474:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-24 17:09:42,475:INFO:Checking exceptions
- 2022-01-24 17:09:42,475:INFO:Importing libraries
- 2022-01-24 17:09:42,475:INFO:Copying training dataset
- 2022-01-24 17:09:42,476:INFO:Defining folds
- 2022-01-24 17:09:42,476:INFO:Declaring metric variables
- 2022-01-24 17:09:42,476:INFO:Importing untrained model
- 2022-01-24 17:09:42,477:INFO:Declaring custom model
- 2022-01-24 17:09:42,477:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-24 17:09:42,477:INFO:Cross validation set to False
- 2022-01-24 17:09:42,478:INFO:Fitting Model
- 2022-01-24 17:09:42,693:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-24 17:09:42,693:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:42,779:INFO:Initializing create_model()
- 2022-01-24 17:09:42,780:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6174, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-24 17:09:42,780:INFO:Checking exceptions
- 2022-01-24 17:09:42,780:INFO:Importing libraries
- 2022-01-24 17:09:42,780:INFO:Copying training dataset
- 2022-01-24 17:09:42,781:INFO:Defining folds
- 2022-01-24 17:09:42,781:INFO:Declaring metric variables
- 2022-01-24 17:09:42,781:INFO:Importing untrained model
- 2022-01-24 17:09:42,782:INFO:Declaring custom model
- 2022-01-24 17:09:42,782:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-24 17:09:42,782:INFO:Cross validation set to False
- 2022-01-24 17:09:42,783:INFO:Fitting Model
- 2022-01-24 17:09:45,257:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6174, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-24 17:09:45,258:INFO:create_models() succesfully completed......................................
- 2022-01-24 17:09:45,362:INFO:create_model_container: 14
- 2022-01-24 17:09:45,362:INFO:master_model_container: 14
- 2022-01-24 17:09:45,363:INFO:display_container: 2
- 2022-01-24 17:09:45,364:INFO:[RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- warm_start=False), ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6174, verbose=0,
- warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6174, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6174, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6174, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-24 17:09:45,364:INFO:compare_models() succesfully completed......................................
- 2022-01-24 17:48:37,127:INFO:Initializing create_model()
- 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={})
- 2022-01-24 17:48:37,127:INFO:Checking exceptions
- 2022-01-24 17:48:37,128:INFO:Preparing display monitor
- 2022-01-24 17:48:37,139:INFO:Importing libraries
- 2022-01-24 17:48:37,139:INFO:Copying training dataset
- 2022-01-24 17:48:37,142:INFO:Defining folds
- 2022-01-24 17:48:37,143:INFO:Declaring metric variables
- 2022-01-24 17:48:37,148:INFO:Importing untrained model
- 2022-01-24 17:48:37,153:INFO:Random Forest Classifier Imported succesfully
- 2022-01-24 17:48:37,163:INFO:Starting cross validation
- 2022-01-24 17:48:37,163:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-24 17:48:44,746:INFO:Calculating mean and std
- 2022-01-24 17:48:44,747:INFO:Creating metrics dataframe
- 2022-01-24 17:48:44,754:INFO:Finalizing model
- 2022-01-24 17:48:45,135:INFO:Uploading results into container
- 2022-01-24 17:48:45,136:INFO:Uploading model into container now
- 2022-01-24 17:48:45,147:INFO:create_model_container: 15
- 2022-01-24 17:48:45,147:INFO:master_model_container: 15
- 2022-01-24 17:48:45,147:INFO:display_container: 3
- 2022-01-24 17:48:45,148:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6174, verbose=0,
- warm_start=False)
- 2022-01-24 17:48:45,148:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:16,053:INFO:PyCaret Supervised Module
- 2022-01-26 09:07:16,054:INFO:ML Usecase: classification
- 2022-01-26 09:07:16,054:INFO:version 2.3.6
- 2022-01-26 09:07:16,054:INFO:Initializing setup()
- 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)
- 2022-01-26 09:07:16,054:INFO:Checking environment
- 2022-01-26 09:07:16,055:INFO:python_version: 3.8.8
- 2022-01-26 09:07:16,055:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 09:07:16,055:INFO:machine: x86_64
- 2022-01-26 09:07:16,055:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 09:07:16,056:INFO:Physical Core: 16
- 2022-01-26 09:07:16,056:INFO:Logical Core: 32
- 2022-01-26 09:07:16,056:INFO:Checking libraries
- 2022-01-26 09:07:16,057:INFO:pd==1.2.4
- 2022-01-26 09:07:16,057:INFO:numpy==1.19.5
- 2022-01-26 09:07:16,057:INFO:sklearn==0.23.2
- 2022-01-26 09:07:16,057:INFO:lightgbm==3.3.2
- 2022-01-26 09:07:16,059:WARNING:catboost not found
- 2022-01-26 09:07:16,059:WARNING:xgboost not found
- 2022-01-26 09:07:16,186:INFO:mlflow==1.22.0
- 2022-01-26 09:07:16,187:INFO:Checking Exceptions
- 2022-01-26 09:07:16,187:INFO:Declaring global variables
- 2022-01-26 09:07:16,187:INFO:USI: f395
- 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'}
- 2022-01-26 09:07:16,188:INFO:Preparing display monitor
- 2022-01-26 09:07:16,188:INFO:Preparing display monitor
- 2022-01-26 09:07:16,198:INFO:Importing libraries
- 2022-01-26 09:07:16,198:INFO:Copying data for preprocessing
- 2022-01-26 09:07:16,205:INFO:Declaring preprocessing parameters
- 2022-01-26 09:07:16,206:WARNING:cuML not found
- 2022-01-26 09:07:16,206:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-26 09:07:16,210:INFO:Creating preprocessing pipeline
- 2022-01-26 09:07:16,264:INFO:Preprocessing pipeline created successfully
- 2022-01-26 09:07:16,264:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 09:07:16,265:INFO:Creating global containers
- 2022-01-26 09:07:16,265:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 09:07:19,269:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 09:07:19,296:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 09:07:19,297:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 09:07:19,298:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 09:07:19,313:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 09:07:19,316:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 09:07:19,319:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 09:07:19,324:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 09:07:19,325:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 09:07:19,354:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 09:07:19,355:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 09:07:19,356:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 09:07:19,369:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 09:07:19,372:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 09:07:19,374:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 09:07:19,377:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 09:07:19,378:INFO:Creating grid variables
- 2022-01-26 09:07:19,391:INFO:create_model_container: 0
- 2022-01-26 09:07:19,391:INFO:master_model_container: 0
- 2022-01-26 09:07:19,391:INFO:display_container: 1
- 2022-01-26 09:07:19,394:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=['Unnamed: 0'],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- num...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 09:07:19,395:INFO:setup() succesfully completed......................................
- 2022-01-26 09:07:29,383:INFO:Initializing compare_models()
- 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)
- 2022-01-26 09:07:29,383:INFO:Checking exceptions
- 2022-01-26 09:07:29,384:INFO:Preparing display monitor
- 2022-01-26 09:07:29,384:INFO:Preparing display monitor
- 2022-01-26 09:07:29,402:INFO:Initializing Logistic Regression
- 2022-01-26 09:07:29,402:INFO:Total runtime is 5.821386973063151e-06 minutes
- 2022-01-26 09:07:29,408:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:29,408:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:29,409:INFO:Checking exceptions
- 2022-01-26 09:07:29,409:INFO:Importing libraries
- 2022-01-26 09:07:29,409:INFO:Copying training dataset
- 2022-01-26 09:07:29,410:INFO:Defining folds
- 2022-01-26 09:07:29,411:INFO:Declaring metric variables
- 2022-01-26 09:07:29,416:INFO:Importing untrained model
- 2022-01-26 09:07:29,421:INFO:Logistic Regression Imported succesfully
- 2022-01-26 09:07:29,432:INFO:Starting cross validation
- 2022-01-26 09:07:29,433:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:35,669:INFO:Calculating mean and std
- 2022-01-26 09:07:35,670:INFO:Creating metrics dataframe
- 2022-01-26 09:07:35,676:INFO:Uploading results into container
- 2022-01-26 09:07:35,679:INFO:Uploading model into container now
- 2022-01-26 09:07:35,679:INFO:create_model_container: 1
- 2022-01-26 09:07:35,682:INFO:master_model_container: 1
- 2022-01-26 09:07:35,683:INFO:display_container: 2
- 2022-01-26 09:07:35,684:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4718, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-26 09:07:35,684:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:35,766:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:35,766:INFO:Creating metrics dataframe
- 2022-01-26 09:07:35,775:INFO:Initializing K Neighbors Classifier
- 2022-01-26 09:07:35,775:INFO:Total runtime is 0.1062253475189209 minutes
- 2022-01-26 09:07:35,781:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:35,781:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:35,781:INFO:Checking exceptions
- 2022-01-26 09:07:35,782:INFO:Importing libraries
- 2022-01-26 09:07:35,782:INFO:Copying training dataset
- 2022-01-26 09:07:35,783:INFO:Defining folds
- 2022-01-26 09:07:35,783:INFO:Declaring metric variables
- 2022-01-26 09:07:35,788:INFO:Importing untrained model
- 2022-01-26 09:07:35,793:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 09:07:35,804:INFO:Starting cross validation
- 2022-01-26 09:07:35,805:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:49,942:INFO:Calculating mean and std
- 2022-01-26 09:07:49,943:INFO:Creating metrics dataframe
- 2022-01-26 09:07:49,946:INFO:Uploading results into container
- 2022-01-26 09:07:49,946:INFO:Uploading model into container now
- 2022-01-26 09:07:49,946:INFO:create_model_container: 2
- 2022-01-26 09:07:49,946:INFO:master_model_container: 2
- 2022-01-26 09:07:49,947:INFO:display_container: 2
- 2022-01-26 09:07:49,947:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 09:07:49,947:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:50,023:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:50,024:INFO:Creating metrics dataframe
- 2022-01-26 09:07:50,034:INFO:Initializing Naive Bayes
- 2022-01-26 09:07:50,034:INFO:Total runtime is 0.34387213389078775 minutes
- 2022-01-26 09:07:50,040:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:50,040:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:50,040:INFO:Checking exceptions
- 2022-01-26 09:07:50,040:INFO:Importing libraries
- 2022-01-26 09:07:50,040:INFO:Copying training dataset
- 2022-01-26 09:07:50,043:INFO:Defining folds
- 2022-01-26 09:07:50,044:INFO:Declaring metric variables
- 2022-01-26 09:07:50,049:INFO:Importing untrained model
- 2022-01-26 09:07:50,054:INFO:Naive Bayes Imported succesfully
- 2022-01-26 09:07:50,064:INFO:Starting cross validation
- 2022-01-26 09:07:50,065:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:50,298:INFO:Calculating mean and std
- 2022-01-26 09:07:50,299:INFO:Creating metrics dataframe
- 2022-01-26 09:07:50,302:INFO:Uploading results into container
- 2022-01-26 09:07:50,302:INFO:Uploading model into container now
- 2022-01-26 09:07:50,302:INFO:create_model_container: 3
- 2022-01-26 09:07:50,302:INFO:master_model_container: 3
- 2022-01-26 09:07:50,303:INFO:display_container: 2
- 2022-01-26 09:07:50,303:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-26 09:07:50,303:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:50,367:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:50,368:INFO:Creating metrics dataframe
- 2022-01-26 09:07:50,379:INFO:Initializing Decision Tree Classifier
- 2022-01-26 09:07:50,379:INFO:Total runtime is 0.3496158758799235 minutes
- 2022-01-26 09:07:50,385:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:50,385:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:50,385:INFO:Checking exceptions
- 2022-01-26 09:07:50,385:INFO:Importing libraries
- 2022-01-26 09:07:50,386:INFO:Copying training dataset
- 2022-01-26 09:07:50,387:INFO:Defining folds
- 2022-01-26 09:07:50,387:INFO:Declaring metric variables
- 2022-01-26 09:07:50,392:INFO:Importing untrained model
- 2022-01-26 09:07:50,397:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 09:07:50,407:INFO:Starting cross validation
- 2022-01-26 09:07:50,408:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:51,665:INFO:Calculating mean and std
- 2022-01-26 09:07:51,666:INFO:Creating metrics dataframe
- 2022-01-26 09:07:51,669:INFO:Uploading results into container
- 2022-01-26 09:07:51,669:INFO:Uploading model into container now
- 2022-01-26 09:07:51,669:INFO:create_model_container: 4
- 2022-01-26 09:07:51,669:INFO:master_model_container: 4
- 2022-01-26 09:07:51,669:INFO:display_container: 2
- 2022-01-26 09:07:51,670:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4718, splitter='best')
- 2022-01-26 09:07:51,670:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:51,744:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:51,744:INFO:Creating metrics dataframe
- 2022-01-26 09:07:51,755:INFO:Initializing SVM - Linear Kernel
- 2022-01-26 09:07:51,755:INFO:Total runtime is 0.3725543657938639 minutes
- 2022-01-26 09:07:51,760:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:51,761:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:51,761:INFO:Checking exceptions
- 2022-01-26 09:07:51,761:INFO:Importing libraries
- 2022-01-26 09:07:51,762:INFO:Copying training dataset
- 2022-01-26 09:07:51,763:INFO:Defining folds
- 2022-01-26 09:07:51,763:INFO:Declaring metric variables
- 2022-01-26 09:07:51,768:INFO:Importing untrained model
- 2022-01-26 09:07:51,773:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-26 09:07:51,783:INFO:Starting cross validation
- 2022-01-26 09:07:51,784:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:52,996:INFO:Calculating mean and std
- 2022-01-26 09:07:52,998:INFO:Creating metrics dataframe
- 2022-01-26 09:07:53,006:INFO:Uploading results into container
- 2022-01-26 09:07:53,006:INFO:Uploading model into container now
- 2022-01-26 09:07:53,007:INFO:create_model_container: 5
- 2022-01-26 09:07:53,007:INFO:master_model_container: 5
- 2022-01-26 09:07:53,007:INFO:display_container: 2
- 2022-01-26 09:07:53,008:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4718, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-26 09:07:53,008:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:53,091:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:53,091:INFO:Creating metrics dataframe
- 2022-01-26 09:07:53,102:INFO:Initializing Ridge Classifier
- 2022-01-26 09:07:53,103:INFO:Total runtime is 0.3950118064880371 minutes
- 2022-01-26 09:07:53,108:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:53,108:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:53,108:INFO:Checking exceptions
- 2022-01-26 09:07:53,109:INFO:Importing libraries
- 2022-01-26 09:07:53,109:INFO:Copying training dataset
- 2022-01-26 09:07:53,110:INFO:Defining folds
- 2022-01-26 09:07:53,110:INFO:Declaring metric variables
- 2022-01-26 09:07:53,115:INFO:Importing untrained model
- 2022-01-26 09:07:53,120:INFO:Ridge Classifier Imported succesfully
- 2022-01-26 09:07:53,130:INFO:Starting cross validation
- 2022-01-26 09:07:53,131:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:07:53,845:INFO:Calculating mean and std
- 2022-01-26 09:07:53,849:INFO:Creating metrics dataframe
- 2022-01-26 09:07:53,856:INFO:Uploading results into container
- 2022-01-26 09:07:53,857:INFO:Uploading model into container now
- 2022-01-26 09:07:53,857:INFO:create_model_container: 6
- 2022-01-26 09:07:53,857:INFO:master_model_container: 6
- 2022-01-26 09:07:53,857:INFO:display_container: 2
- 2022-01-26 09:07:53,858:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4718,
- solver='auto', tol=0.001)
- 2022-01-26 09:07:53,858:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:07:53,945:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:07:53,945:INFO:Creating metrics dataframe
- 2022-01-26 09:07:53,957:INFO:Initializing Random Forest Classifier
- 2022-01-26 09:07:53,957:INFO:Total runtime is 0.409252389272054 minutes
- 2022-01-26 09:07:53,963:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:07:53,963:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:07:53,964:INFO:Checking exceptions
- 2022-01-26 09:07:53,964:INFO:Importing libraries
- 2022-01-26 09:07:53,964:INFO:Copying training dataset
- 2022-01-26 09:07:53,966:INFO:Defining folds
- 2022-01-26 09:07:53,966:INFO:Declaring metric variables
- 2022-01-26 09:07:53,971:INFO:Importing untrained model
- 2022-01-26 09:07:53,976:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 09:07:53,986:INFO:Starting cross validation
- 2022-01-26 09:07:53,986:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:00,672:INFO:Calculating mean and std
- 2022-01-26 09:08:00,673:INFO:Creating metrics dataframe
- 2022-01-26 09:08:00,676:INFO:Uploading results into container
- 2022-01-26 09:08:00,677:INFO:Uploading model into container now
- 2022-01-26 09:08:00,677:INFO:create_model_container: 7
- 2022-01-26 09:08:00,677:INFO:master_model_container: 7
- 2022-01-26 09:08:00,677:INFO:display_container: 2
- 2022-01-26 09:08:00,678:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:00,678:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:00,749:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:00,749:INFO:Creating metrics dataframe
- 2022-01-26 09:08:00,762:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-26 09:08:00,762:INFO:Total runtime is 0.5226710319519042 minutes
- 2022-01-26 09:08:00,768:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:00,768:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:00,768:INFO:Checking exceptions
- 2022-01-26 09:08:00,769:INFO:Importing libraries
- 2022-01-26 09:08:00,769:INFO:Copying training dataset
- 2022-01-26 09:08:00,770:INFO:Defining folds
- 2022-01-26 09:08:00,770:INFO:Declaring metric variables
- 2022-01-26 09:08:00,775:INFO:Importing untrained model
- 2022-01-26 09:08:00,780:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-26 09:08:00,791:INFO:Starting cross validation
- 2022-01-26 09:08:00,791:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:01,619:INFO:Calculating mean and std
- 2022-01-26 09:08:01,620:INFO:Creating metrics dataframe
- 2022-01-26 09:08:01,625:INFO:Uploading results into container
- 2022-01-26 09:08:01,626:INFO:Uploading model into container now
- 2022-01-26 09:08:01,626:INFO:create_model_container: 8
- 2022-01-26 09:08:01,627:INFO:master_model_container: 8
- 2022-01-26 09:08:01,627:INFO:display_container: 2
- 2022-01-26 09:08:01,627:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-26 09:08:01,628:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:01,710:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:01,710:INFO:Creating metrics dataframe
- 2022-01-26 09:08:01,722:INFO:Initializing Ada Boost Classifier
- 2022-01-26 09:08:01,723:INFO:Total runtime is 0.5386785705884297 minutes
- 2022-01-26 09:08:01,728:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:01,729:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:01,729:INFO:Checking exceptions
- 2022-01-26 09:08:01,729:INFO:Importing libraries
- 2022-01-26 09:08:01,730:INFO:Copying training dataset
- 2022-01-26 09:08:01,731:INFO:Defining folds
- 2022-01-26 09:08:01,731:INFO:Declaring metric variables
- 2022-01-26 09:08:01,736:INFO:Importing untrained model
- 2022-01-26 09:08:01,741:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-26 09:08:01,751:INFO:Starting cross validation
- 2022-01-26 09:08:01,752:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:09,099:INFO:Calculating mean and std
- 2022-01-26 09:08:09,100:INFO:Creating metrics dataframe
- 2022-01-26 09:08:09,102:INFO:Uploading results into container
- 2022-01-26 09:08:09,102:INFO:Uploading model into container now
- 2022-01-26 09:08:09,103:INFO:create_model_container: 9
- 2022-01-26 09:08:09,103:INFO:master_model_container: 9
- 2022-01-26 09:08:09,103:INFO:display_container: 2
- 2022-01-26 09:08:09,103:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4718)
- 2022-01-26 09:08:09,103:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:09,172:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:09,173:INFO:Creating metrics dataframe
- 2022-01-26 09:08:09,185:INFO:Initializing Gradient Boosting Classifier
- 2022-01-26 09:08:09,186:INFO:Total runtime is 0.6630625208218892 minutes
- 2022-01-26 09:08:09,191:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:09,192:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:09,192:INFO:Checking exceptions
- 2022-01-26 09:08:09,192:INFO:Importing libraries
- 2022-01-26 09:08:09,193:INFO:Copying training dataset
- 2022-01-26 09:08:09,195:INFO:Defining folds
- 2022-01-26 09:08:09,195:INFO:Declaring metric variables
- 2022-01-26 09:08:09,200:INFO:Importing untrained model
- 2022-01-26 09:08:09,205:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 09:08:09,216:INFO:Starting cross validation
- 2022-01-26 09:08:09,216:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:35,087:INFO:Calculating mean and std
- 2022-01-26 09:08:35,088:INFO:Creating metrics dataframe
- 2022-01-26 09:08:35,091:INFO:Uploading results into container
- 2022-01-26 09:08:35,091:INFO:Uploading model into container now
- 2022-01-26 09:08:35,091:INFO:create_model_container: 10
- 2022-01-26 09:08:35,091:INFO:master_model_container: 10
- 2022-01-26 09:08:35,091:INFO:display_container: 2
- 2022-01-26 09:08:35,092:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4718, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:35,092:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:35,157:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:35,158:INFO:Creating metrics dataframe
- 2022-01-26 09:08:35,170:INFO:Initializing Linear Discriminant Analysis
- 2022-01-26 09:08:35,170:INFO:Total runtime is 1.0961407860120138 minutes
- 2022-01-26 09:08:35,176:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:35,176:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:35,176:INFO:Checking exceptions
- 2022-01-26 09:08:35,177:INFO:Importing libraries
- 2022-01-26 09:08:35,177:INFO:Copying training dataset
- 2022-01-26 09:08:35,178:INFO:Defining folds
- 2022-01-26 09:08:35,178:INFO:Declaring metric variables
- 2022-01-26 09:08:35,183:INFO:Importing untrained model
- 2022-01-26 09:08:35,188:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-26 09:08:35,198:INFO:Starting cross validation
- 2022-01-26 09:08:35,199:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:37,142:INFO:Calculating mean and std
- 2022-01-26 09:08:37,143:INFO:Creating metrics dataframe
- 2022-01-26 09:08:37,147:INFO:Uploading results into container
- 2022-01-26 09:08:37,147:INFO:Uploading model into container now
- 2022-01-26 09:08:37,147:INFO:create_model_container: 11
- 2022-01-26 09:08:37,148:INFO:master_model_container: 11
- 2022-01-26 09:08:37,148:INFO:display_container: 2
- 2022-01-26 09:08:37,148:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-26 09:08:37,148:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:37,228:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:37,228:INFO:Creating metrics dataframe
- 2022-01-26 09:08:37,241:INFO:Initializing Extra Trees Classifier
- 2022-01-26 09:08:37,241:INFO:Total runtime is 1.1306507190068564 minutes
- 2022-01-26 09:08:37,246:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:37,247:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:37,247:INFO:Checking exceptions
- 2022-01-26 09:08:37,247:INFO:Importing libraries
- 2022-01-26 09:08:37,247:INFO:Copying training dataset
- 2022-01-26 09:08:37,249:INFO:Defining folds
- 2022-01-26 09:08:37,249:INFO:Declaring metric variables
- 2022-01-26 09:08:37,254:INFO:Importing untrained model
- 2022-01-26 09:08:37,259:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 09:08:37,270:INFO:Starting cross validation
- 2022-01-26 09:08:37,270:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:44,256:INFO:Calculating mean and std
- 2022-01-26 09:08:44,257:INFO:Creating metrics dataframe
- 2022-01-26 09:08:44,259:INFO:Uploading results into container
- 2022-01-26 09:08:44,260:INFO:Uploading model into container now
- 2022-01-26 09:08:44,260:INFO:create_model_container: 12
- 2022-01-26 09:08:44,260:INFO:master_model_container: 12
- 2022-01-26 09:08:44,260:INFO:display_container: 2
- 2022-01-26 09:08:44,261:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4718, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:44,261:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:44,332:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:44,332:INFO:Creating metrics dataframe
- 2022-01-26 09:08:44,345:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-26 09:08:44,345:INFO:Total runtime is 1.2490598758061728 minutes
- 2022-01-26 09:08:44,351:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:44,351:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:44,352:INFO:Checking exceptions
- 2022-01-26 09:08:44,352:INFO:Importing libraries
- 2022-01-26 09:08:44,352:INFO:Copying training dataset
- 2022-01-26 09:08:44,353:INFO:Defining folds
- 2022-01-26 09:08:44,353:INFO:Declaring metric variables
- 2022-01-26 09:08:44,358:INFO:Importing untrained model
- 2022-01-26 09:08:44,363:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 09:08:44,375:INFO:Starting cross validation
- 2022-01-26 09:08:44,375:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:47,510:INFO:Calculating mean and std
- 2022-01-26 09:08:47,511:INFO:Creating metrics dataframe
- 2022-01-26 09:08:47,514:INFO:Uploading results into container
- 2022-01-26 09:08:47,514:INFO:Uploading model into container now
- 2022-01-26 09:08:47,515:INFO:create_model_container: 13
- 2022-01-26 09:08:47,515:INFO:master_model_container: 13
- 2022-01-26 09:08:47,515:INFO:display_container: 2
- 2022-01-26 09:08:47,515:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 09:08:47,516:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:47,582:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:47,582:INFO:Creating metrics dataframe
- 2022-01-26 09:08:47,596:INFO:Initializing Dummy Classifier
- 2022-01-26 09:08:47,596:INFO:Total runtime is 1.3032345215479535 minutes
- 2022-01-26 09:08:47,601:INFO:SubProcess create_model() called ==================================
- 2022-01-26 09:08:47,602:INFO:Initializing create_model()
- 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={})
- 2022-01-26 09:08:47,602:INFO:Checking exceptions
- 2022-01-26 09:08:47,602:INFO:Importing libraries
- 2022-01-26 09:08:47,602:INFO:Copying training dataset
- 2022-01-26 09:08:47,604:INFO:Defining folds
- 2022-01-26 09:08:47,604:INFO:Declaring metric variables
- 2022-01-26 09:08:47,608:INFO:Importing untrained model
- 2022-01-26 09:08:47,613:INFO:Dummy Classifier Imported succesfully
- 2022-01-26 09:08:47,623:INFO:Starting cross validation
- 2022-01-26 09:08:47,624:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 09:08:47,740:INFO:Calculating mean and std
- 2022-01-26 09:08:47,741:INFO:Creating metrics dataframe
- 2022-01-26 09:08:47,743:INFO:Uploading results into container
- 2022-01-26 09:08:47,743:INFO:Uploading model into container now
- 2022-01-26 09:08:47,744:INFO:create_model_container: 14
- 2022-01-26 09:08:47,744:INFO:master_model_container: 14
- 2022-01-26 09:08:47,744:INFO:display_container: 2
- 2022-01-26 09:08:47,744:INFO:DummyClassifier(constant=None, random_state=4718, strategy='prior')
- 2022-01-26 09:08:47,745:INFO:create_model() succesfully completed......................................
- 2022-01-26 09:08:47,814:INFO:SubProcess create_model() end ==================================
- 2022-01-26 09:08:47,815:INFO:Creating metrics dataframe
- 2022-01-26 09:08:47,840:INFO:Initializing create_model()
- 2022-01-26 09:08:47,840:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4718, verbose=0,
- 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={})
- 2022-01-26 09:08:47,841:INFO:Checking exceptions
- 2022-01-26 09:08:47,841:INFO:Importing libraries
- 2022-01-26 09:08:47,841:INFO:Copying training dataset
- 2022-01-26 09:08:47,842:INFO:Defining folds
- 2022-01-26 09:08:47,842:INFO:Declaring metric variables
- 2022-01-26 09:08:47,842:INFO:Importing untrained model
- 2022-01-26 09:08:47,842:INFO:Declaring custom model
- 2022-01-26 09:08:47,843:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 09:08:47,843:INFO:Cross validation set to False
- 2022-01-26 09:08:47,844:INFO:Fitting Model
- 2022-01-26 09:08:48,190:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4718, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:48,190:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:48,270:INFO:Initializing create_model()
- 2022-01-26 09:08:48,271:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
- 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={})
- 2022-01-26 09:08:48,271:INFO:Checking exceptions
- 2022-01-26 09:08:48,271:INFO:Importing libraries
- 2022-01-26 09:08:48,271:INFO:Copying training dataset
- 2022-01-26 09:08:48,272:INFO:Defining folds
- 2022-01-26 09:08:48,272:INFO:Declaring metric variables
- 2022-01-26 09:08:48,272:INFO:Importing untrained model
- 2022-01-26 09:08:48,273:INFO:Declaring custom model
- 2022-01-26 09:08:48,273:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 09:08:48,273:INFO:Cross validation set to False
- 2022-01-26 09:08:48,273:INFO:Fitting Model
- 2022-01-26 09:08:48,648:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:48,648:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:48,722:INFO:Initializing create_model()
- 2022-01-26 09:08:48,722:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-26 09:08:48,723:INFO:Checking exceptions
- 2022-01-26 09:08:48,723:INFO:Importing libraries
- 2022-01-26 09:08:48,723:INFO:Copying training dataset
- 2022-01-26 09:08:48,724:INFO:Defining folds
- 2022-01-26 09:08:48,724:INFO:Declaring metric variables
- 2022-01-26 09:08:48,724:INFO:Importing untrained model
- 2022-01-26 09:08:48,724:INFO:Declaring custom model
- 2022-01-26 09:08:48,725:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 09:08:48,725:INFO:Cross validation set to False
- 2022-01-26 09:08:48,725:INFO:Fitting Model
- 2022-01-26 09:08:48,856:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4718, splitter='best')
- 2022-01-26 09:08:48,857:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:48,929:INFO:Initializing create_model()
- 2022-01-26 09:08:48,929:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-26 09:08:48,930:INFO:Checking exceptions
- 2022-01-26 09:08:48,930:INFO:Importing libraries
- 2022-01-26 09:08:48,930:INFO:Copying training dataset
- 2022-01-26 09:08:48,931:INFO:Defining folds
- 2022-01-26 09:08:48,931:INFO:Declaring metric variables
- 2022-01-26 09:08:48,931:INFO:Importing untrained model
- 2022-01-26 09:08:48,931:INFO:Declaring custom model
- 2022-01-26 09:08:48,932:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 09:08:48,932:INFO:Cross validation set to False
- 2022-01-26 09:08:48,932:INFO:Fitting Model
- 2022-01-26 09:08:49,387:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 09:08:49,387:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:49,465:INFO:Initializing create_model()
- 2022-01-26 09:08:49,466:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-26 09:08:49,466:INFO:Checking exceptions
- 2022-01-26 09:08:49,466:INFO:Importing libraries
- 2022-01-26 09:08:49,466:INFO:Copying training dataset
- 2022-01-26 09:08:49,467:INFO:Defining folds
- 2022-01-26 09:08:49,468:INFO:Declaring metric variables
- 2022-01-26 09:08:49,468:INFO:Importing untrained model
- 2022-01-26 09:08:49,468:INFO:Declaring custom model
- 2022-01-26 09:08:49,468:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 09:08:49,469:INFO:Cross validation set to False
- 2022-01-26 09:08:49,469:INFO:Fitting Model
- 2022-01-26 09:08:50,371:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 09:08:50,371:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:50,442:INFO:Initializing create_model()
- 2022-01-26 09:08:50,442:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4718, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-26 09:08:50,442:INFO:Checking exceptions
- 2022-01-26 09:08:50,442:INFO:Importing libraries
- 2022-01-26 09:08:50,443:INFO:Copying training dataset
- 2022-01-26 09:08:50,444:INFO:Defining folds
- 2022-01-26 09:08:50,444:INFO:Declaring metric variables
- 2022-01-26 09:08:50,444:INFO:Importing untrained model
- 2022-01-26 09:08:50,444:INFO:Declaring custom model
- 2022-01-26 09:08:50,445:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 09:08:50,445:INFO:Cross validation set to False
- 2022-01-26 09:08:50,445:INFO:Fitting Model
- 2022-01-26 09:08:53,309:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4718, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 09:08:53,309:INFO:create_models() succesfully completed......................................
- 2022-01-26 09:08:53,409:INFO:create_model_container: 14
- 2022-01-26 09:08:53,409:INFO:master_model_container: 14
- 2022-01-26 09:08:53,409:INFO:display_container: 2
- 2022-01-26 09:08:53,411:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4718, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4718, verbose=0,
- warm_start=False), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4718, splitter='best'), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4718, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4718, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-26 09:08:53,411:INFO:compare_models() succesfully completed......................................
- 2022-01-26 10:33:44,922:INFO:PyCaret Supervised Module
- 2022-01-26 10:33:44,922:INFO:ML Usecase: classification
- 2022-01-26 10:33:44,923:INFO:version 2.3.6
- 2022-01-26 10:33:44,923:INFO:Initializing setup()
- 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)
- 2022-01-26 10:33:44,923:INFO:Checking environment
- 2022-01-26 10:33:44,923:INFO:python_version: 3.8.8
- 2022-01-26 10:33:44,924:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 10:33:44,924:INFO:machine: x86_64
- 2022-01-26 10:33:44,924:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 10:33:44,925:INFO:Physical Core: 16
- 2022-01-26 10:33:44,925:INFO:Logical Core: 32
- 2022-01-26 10:33:44,925:INFO:Checking libraries
- 2022-01-26 10:33:44,925:INFO:pd==1.2.4
- 2022-01-26 10:33:44,925:INFO:numpy==1.19.5
- 2022-01-26 10:33:44,926:INFO:sklearn==0.23.2
- 2022-01-26 10:33:44,926:INFO:lightgbm==3.3.2
- 2022-01-26 10:33:44,926:WARNING:catboost not found
- 2022-01-26 10:33:44,927:WARNING:xgboost not found
- 2022-01-26 10:33:44,927:INFO:mlflow==1.22.0
- 2022-01-26 10:33:44,927:INFO:Checking Exceptions
- 2022-01-26 10:33:44,927:INFO:Declaring global variables
- 2022-01-26 10:33:44,927:INFO:USI: 8c35
- 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'}
- 2022-01-26 10:33:44,928:INFO:Preparing display monitor
- 2022-01-26 10:33:44,928:INFO:Preparing display monitor
- 2022-01-26 10:33:44,936:INFO:Importing libraries
- 2022-01-26 10:33:44,936:INFO:Copying data for preprocessing
- 2022-01-26 10:33:44,943:INFO:Declaring preprocessing parameters
- 2022-01-26 10:33:44,944:WARNING:cuML not found
- 2022-01-26 10:33:44,944:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-26 10:33:44,948:INFO:Creating preprocessing pipeline
- 2022-01-26 10:33:45,004:INFO:Preprocessing pipeline created successfully
- 2022-01-26 10:33:45,005:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 10:33:45,005:INFO:Creating global containers
- 2022-01-26 10:33:45,005:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 10:33:46,890:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 10:33:46,918:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 10:33:46,919:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 10:33:46,920:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 10:33:46,935:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 10:33:46,938:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 10:33:46,940:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 10:33:46,944:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 10:33:46,945:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 10:33:46,977:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 10:33:46,978:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 10:33:46,979:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 10:33:46,995:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 10:33:46,999:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 10:33:47,000:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 10:33:47,004:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 10:33:47,005:INFO:Creating grid variables
- 2022-01-26 10:33:47,019:INFO:create_model_container: 0
- 2022-01-26 10:33:47,019:INFO:master_model_container: 0
- 2022-01-26 10:33:47,020:INFO:display_container: 1
- 2022-01-26 10:33:47,023:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=['Unnamed: 0'],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- num...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 10:33:47,023:INFO:setup() succesfully completed......................................
- 2022-01-26 10:33:57,190:INFO:Initializing compare_models()
- 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)
- 2022-01-26 10:33:57,191:INFO:Checking exceptions
- 2022-01-26 10:33:57,192:INFO:Preparing display monitor
- 2022-01-26 10:33:57,192:INFO:Preparing display monitor
- 2022-01-26 10:33:57,211:INFO:Initializing Logistic Regression
- 2022-01-26 10:33:57,211:INFO:Total runtime is 5.690256754557292e-06 minutes
- 2022-01-26 10:33:57,217:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:33:57,218:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:33:57,218:INFO:Checking exceptions
- 2022-01-26 10:33:57,218:INFO:Importing libraries
- 2022-01-26 10:33:57,218:INFO:Copying training dataset
- 2022-01-26 10:33:57,220:INFO:Defining folds
- 2022-01-26 10:33:57,220:INFO:Declaring metric variables
- 2022-01-26 10:33:57,226:INFO:Importing untrained model
- 2022-01-26 10:33:57,231:INFO:Logistic Regression Imported succesfully
- 2022-01-26 10:33:57,242:INFO:Starting cross validation
- 2022-01-26 10:33:57,242:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:07,932:INFO:Calculating mean and std
- 2022-01-26 10:34:07,935:INFO:Creating metrics dataframe
- 2022-01-26 10:34:07,940:INFO:Uploading results into container
- 2022-01-26 10:34:07,940:INFO:Uploading model into container now
- 2022-01-26 10:34:07,941:INFO:create_model_container: 1
- 2022-01-26 10:34:07,941:INFO:master_model_container: 1
- 2022-01-26 10:34:07,941:INFO:display_container: 2
- 2022-01-26 10:34:07,942:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4851, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-26 10:34:07,942:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:08,039:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:08,039:INFO:Creating metrics dataframe
- 2022-01-26 10:34:08,049:INFO:Initializing K Neighbors Classifier
- 2022-01-26 10:34:08,049:INFO:Total runtime is 0.18064369757970175 minutes
- 2022-01-26 10:34:08,055:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:08,056:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:08,056:INFO:Checking exceptions
- 2022-01-26 10:34:08,056:INFO:Importing libraries
- 2022-01-26 10:34:08,056:INFO:Copying training dataset
- 2022-01-26 10:34:08,058:INFO:Defining folds
- 2022-01-26 10:34:08,058:INFO:Declaring metric variables
- 2022-01-26 10:34:08,063:INFO:Importing untrained model
- 2022-01-26 10:34:08,068:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 10:34:08,079:INFO:Starting cross validation
- 2022-01-26 10:34:08,080:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:24,090:INFO:Calculating mean and std
- 2022-01-26 10:34:24,091:INFO:Creating metrics dataframe
- 2022-01-26 10:34:24,094:INFO:Uploading results into container
- 2022-01-26 10:34:24,094:INFO:Uploading model into container now
- 2022-01-26 10:34:24,094:INFO:create_model_container: 2
- 2022-01-26 10:34:24,094:INFO:master_model_container: 2
- 2022-01-26 10:34:24,094:INFO:display_container: 2
- 2022-01-26 10:34:24,095:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 10:34:24,095:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:24,170:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:24,170:INFO:Creating metrics dataframe
- 2022-01-26 10:34:24,181:INFO:Initializing Naive Bayes
- 2022-01-26 10:34:24,181:INFO:Total runtime is 0.4495099743207296 minutes
- 2022-01-26 10:34:24,187:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:24,187:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:24,187:INFO:Checking exceptions
- 2022-01-26 10:34:24,188:INFO:Importing libraries
- 2022-01-26 10:34:24,188:INFO:Copying training dataset
- 2022-01-26 10:34:24,191:INFO:Defining folds
- 2022-01-26 10:34:24,191:INFO:Declaring metric variables
- 2022-01-26 10:34:24,196:INFO:Importing untrained model
- 2022-01-26 10:34:24,201:INFO:Naive Bayes Imported succesfully
- 2022-01-26 10:34:24,213:INFO:Starting cross validation
- 2022-01-26 10:34:24,214:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:24,464:INFO:Calculating mean and std
- 2022-01-26 10:34:24,464:INFO:Creating metrics dataframe
- 2022-01-26 10:34:24,467:INFO:Uploading results into container
- 2022-01-26 10:34:24,467:INFO:Uploading model into container now
- 2022-01-26 10:34:24,467:INFO:create_model_container: 3
- 2022-01-26 10:34:24,468:INFO:master_model_container: 3
- 2022-01-26 10:34:24,468:INFO:display_container: 2
- 2022-01-26 10:34:24,468:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-26 10:34:24,468:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:24,537:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:24,538:INFO:Creating metrics dataframe
- 2022-01-26 10:34:24,549:INFO:Initializing Decision Tree Classifier
- 2022-01-26 10:34:24,549:INFO:Total runtime is 0.4556432445844015 minutes
- 2022-01-26 10:34:24,555:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:24,555:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:24,556:INFO:Checking exceptions
- 2022-01-26 10:34:24,556:INFO:Importing libraries
- 2022-01-26 10:34:24,556:INFO:Copying training dataset
- 2022-01-26 10:34:24,558:INFO:Defining folds
- 2022-01-26 10:34:24,558:INFO:Declaring metric variables
- 2022-01-26 10:34:24,563:INFO:Importing untrained model
- 2022-01-26 10:34:24,568:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 10:34:24,579:INFO:Starting cross validation
- 2022-01-26 10:34:24,580:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:26,163:INFO:Calculating mean and std
- 2022-01-26 10:34:26,163:INFO:Creating metrics dataframe
- 2022-01-26 10:34:26,166:INFO:Uploading results into container
- 2022-01-26 10:34:26,166:INFO:Uploading model into container now
- 2022-01-26 10:34:26,167:INFO:create_model_container: 4
- 2022-01-26 10:34:26,167:INFO:master_model_container: 4
- 2022-01-26 10:34:26,167:INFO:display_container: 2
- 2022-01-26 10:34:26,167:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4851, splitter='best')
- 2022-01-26 10:34:26,167:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:26,239:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:26,240:INFO:Creating metrics dataframe
- 2022-01-26 10:34:26,251:INFO:Initializing SVM - Linear Kernel
- 2022-01-26 10:34:26,251:INFO:Total runtime is 0.4840099096298218 minutes
- 2022-01-26 10:34:26,257:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:26,257:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:26,258:INFO:Checking exceptions
- 2022-01-26 10:34:26,258:INFO:Importing libraries
- 2022-01-26 10:34:26,258:INFO:Copying training dataset
- 2022-01-26 10:34:26,259:INFO:Defining folds
- 2022-01-26 10:34:26,259:INFO:Declaring metric variables
- 2022-01-26 10:34:26,264:INFO:Importing untrained model
- 2022-01-26 10:34:26,270:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-26 10:34:26,282:INFO:Starting cross validation
- 2022-01-26 10:34:26,283:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:27,744:INFO:Calculating mean and std
- 2022-01-26 10:34:27,747:INFO:Creating metrics dataframe
- 2022-01-26 10:34:27,755:INFO:Uploading results into container
- 2022-01-26 10:34:27,757:INFO:Uploading model into container now
- 2022-01-26 10:34:27,758:INFO:create_model_container: 5
- 2022-01-26 10:34:27,760:INFO:master_model_container: 5
- 2022-01-26 10:34:27,760:INFO:display_container: 2
- 2022-01-26 10:34:27,761:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4851, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-26 10:34:27,762:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:27,843:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:27,843:INFO:Creating metrics dataframe
- 2022-01-26 10:34:27,855:INFO:Initializing Ridge Classifier
- 2022-01-26 10:34:27,855:INFO:Total runtime is 0.5107457280158997 minutes
- 2022-01-26 10:34:27,861:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:27,862:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:27,862:INFO:Checking exceptions
- 2022-01-26 10:34:27,862:INFO:Importing libraries
- 2022-01-26 10:34:27,862:INFO:Copying training dataset
- 2022-01-26 10:34:27,864:INFO:Defining folds
- 2022-01-26 10:34:27,864:INFO:Declaring metric variables
- 2022-01-26 10:34:27,869:INFO:Importing untrained model
- 2022-01-26 10:34:27,874:INFO:Ridge Classifier Imported succesfully
- 2022-01-26 10:34:27,884:INFO:Starting cross validation
- 2022-01-26 10:34:27,885:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:28,517:INFO:Calculating mean and std
- 2022-01-26 10:34:28,519:INFO:Creating metrics dataframe
- 2022-01-26 10:34:28,524:INFO:Uploading results into container
- 2022-01-26 10:34:28,524:INFO:Uploading model into container now
- 2022-01-26 10:34:28,525:INFO:create_model_container: 6
- 2022-01-26 10:34:28,525:INFO:master_model_container: 6
- 2022-01-26 10:34:28,525:INFO:display_container: 2
- 2022-01-26 10:34:28,526:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4851,
- solver='auto', tol=0.001)
- 2022-01-26 10:34:28,526:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:28,623:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:28,623:INFO:Creating metrics dataframe
- 2022-01-26 10:34:28,635:INFO:Initializing Random Forest Classifier
- 2022-01-26 10:34:28,636:INFO:Total runtime is 0.5237489740053813 minutes
- 2022-01-26 10:34:28,642:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:28,642:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:28,642:INFO:Checking exceptions
- 2022-01-26 10:34:28,643:INFO:Importing libraries
- 2022-01-26 10:34:28,643:INFO:Copying training dataset
- 2022-01-26 10:34:28,644:INFO:Defining folds
- 2022-01-26 10:34:28,644:INFO:Declaring metric variables
- 2022-01-26 10:34:28,650:INFO:Importing untrained model
- 2022-01-26 10:34:28,655:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 10:34:28,667:INFO:Starting cross validation
- 2022-01-26 10:34:28,667:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:35,647:INFO:Calculating mean and std
- 2022-01-26 10:34:35,648:INFO:Creating metrics dataframe
- 2022-01-26 10:34:35,651:INFO:Uploading results into container
- 2022-01-26 10:34:35,651:INFO:Uploading model into container now
- 2022-01-26 10:34:35,651:INFO:create_model_container: 7
- 2022-01-26 10:34:35,651:INFO:master_model_container: 7
- 2022-01-26 10:34:35,652:INFO:display_container: 2
- 2022-01-26 10:34:35,652:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
- warm_start=False)
- 2022-01-26 10:34:35,652:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:35,738:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:35,738:INFO:Creating metrics dataframe
- 2022-01-26 10:34:35,750:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-26 10:34:35,751:INFO:Total runtime is 0.6423328280448914 minutes
- 2022-01-26 10:34:35,756:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:35,756:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:35,757:INFO:Checking exceptions
- 2022-01-26 10:34:35,757:INFO:Importing libraries
- 2022-01-26 10:34:35,757:INFO:Copying training dataset
- 2022-01-26 10:34:35,758:INFO:Defining folds
- 2022-01-26 10:34:35,758:INFO:Declaring metric variables
- 2022-01-26 10:34:35,763:INFO:Importing untrained model
- 2022-01-26 10:34:35,768:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-26 10:34:35,779:INFO:Starting cross validation
- 2022-01-26 10:34:35,780:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:36,551:INFO:Calculating mean and std
- 2022-01-26 10:34:36,552:INFO:Creating metrics dataframe
- 2022-01-26 10:34:36,558:INFO:Uploading results into container
- 2022-01-26 10:34:36,558:INFO:Uploading model into container now
- 2022-01-26 10:34:36,559:INFO:create_model_container: 8
- 2022-01-26 10:34:36,559:INFO:master_model_container: 8
- 2022-01-26 10:34:36,559:INFO:display_container: 2
- 2022-01-26 10:34:36,559:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-26 10:34:36,560:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:36,642:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:36,642:INFO:Creating metrics dataframe
- 2022-01-26 10:34:36,654:INFO:Initializing Ada Boost Classifier
- 2022-01-26 10:34:36,654:INFO:Total runtime is 0.6573969364166261 minutes
- 2022-01-26 10:34:36,660:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:36,660:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:36,661:INFO:Checking exceptions
- 2022-01-26 10:34:36,661:INFO:Importing libraries
- 2022-01-26 10:34:36,661:INFO:Copying training dataset
- 2022-01-26 10:34:36,662:INFO:Defining folds
- 2022-01-26 10:34:36,663:INFO:Declaring metric variables
- 2022-01-26 10:34:36,667:INFO:Importing untrained model
- 2022-01-26 10:34:36,672:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-26 10:34:36,683:INFO:Starting cross validation
- 2022-01-26 10:34:36,683:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:34:45,037:INFO:Calculating mean and std
- 2022-01-26 10:34:45,038:INFO:Creating metrics dataframe
- 2022-01-26 10:34:45,041:INFO:Uploading results into container
- 2022-01-26 10:34:45,041:INFO:Uploading model into container now
- 2022-01-26 10:34:45,041:INFO:create_model_container: 9
- 2022-01-26 10:34:45,042:INFO:master_model_container: 9
- 2022-01-26 10:34:45,042:INFO:display_container: 2
- 2022-01-26 10:34:45,042:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4851)
- 2022-01-26 10:34:45,042:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:34:45,113:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:34:45,114:INFO:Creating metrics dataframe
- 2022-01-26 10:34:45,126:INFO:Initializing Gradient Boosting Classifier
- 2022-01-26 10:34:45,127:INFO:Total runtime is 0.7985983053843182 minutes
- 2022-01-26 10:34:45,132:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:34:45,132:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:34:45,133:INFO:Checking exceptions
- 2022-01-26 10:34:45,133:INFO:Importing libraries
- 2022-01-26 10:34:45,133:INFO:Copying training dataset
- 2022-01-26 10:34:45,134:INFO:Defining folds
- 2022-01-26 10:34:45,135:INFO:Declaring metric variables
- 2022-01-26 10:34:45,140:INFO:Importing untrained model
- 2022-01-26 10:34:45,145:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 10:34:45,155:INFO:Starting cross validation
- 2022-01-26 10:34:45,156:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:16,199:INFO:Calculating mean and std
- 2022-01-26 10:35:16,200:INFO:Creating metrics dataframe
- 2022-01-26 10:35:16,203:INFO:Uploading results into container
- 2022-01-26 10:35:16,203:INFO:Uploading model into container now
- 2022-01-26 10:35:16,203:INFO:create_model_container: 10
- 2022-01-26 10:35:16,203:INFO:master_model_container: 10
- 2022-01-26 10:35:16,203:INFO:display_container: 2
- 2022-01-26 10:35:16,204:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4851, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:16,204:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:16,271:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:16,272:INFO:Creating metrics dataframe
- 2022-01-26 10:35:16,284:INFO:Initializing Linear Discriminant Analysis
- 2022-01-26 10:35:16,284:INFO:Total runtime is 1.3178923209508262 minutes
- 2022-01-26 10:35:16,290:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:35:16,290:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:35:16,291:INFO:Checking exceptions
- 2022-01-26 10:35:16,291:INFO:Importing libraries
- 2022-01-26 10:35:16,291:INFO:Copying training dataset
- 2022-01-26 10:35:16,292:INFO:Defining folds
- 2022-01-26 10:35:16,292:INFO:Declaring metric variables
- 2022-01-26 10:35:16,297:INFO:Importing untrained model
- 2022-01-26 10:35:16,302:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-26 10:35:16,313:INFO:Starting cross validation
- 2022-01-26 10:35:16,313:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:18,196:INFO:Calculating mean and std
- 2022-01-26 10:35:18,199:INFO:Creating metrics dataframe
- 2022-01-26 10:35:18,204:INFO:Uploading results into container
- 2022-01-26 10:35:18,205:INFO:Uploading model into container now
- 2022-01-26 10:35:18,205:INFO:create_model_container: 11
- 2022-01-26 10:35:18,205:INFO:master_model_container: 11
- 2022-01-26 10:35:18,206:INFO:display_container: 2
- 2022-01-26 10:35:18,206:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-26 10:35:18,206:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:18,289:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:18,289:INFO:Creating metrics dataframe
- 2022-01-26 10:35:18,302:INFO:Initializing Extra Trees Classifier
- 2022-01-26 10:35:18,302:INFO:Total runtime is 1.3515202363332115 minutes
- 2022-01-26 10:35:18,307:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:35:18,308:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:35:18,308:INFO:Checking exceptions
- 2022-01-26 10:35:18,308:INFO:Importing libraries
- 2022-01-26 10:35:18,308:INFO:Copying training dataset
- 2022-01-26 10:35:18,310:INFO:Defining folds
- 2022-01-26 10:35:18,310:INFO:Declaring metric variables
- 2022-01-26 10:35:18,315:INFO:Importing untrained model
- 2022-01-26 10:35:18,319:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 10:35:18,330:INFO:Starting cross validation
- 2022-01-26 10:35:18,331:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:25,476:INFO:Calculating mean and std
- 2022-01-26 10:35:25,477:INFO:Creating metrics dataframe
- 2022-01-26 10:35:25,480:INFO:Uploading results into container
- 2022-01-26 10:35:25,480:INFO:Uploading model into container now
- 2022-01-26 10:35:25,480:INFO:create_model_container: 12
- 2022-01-26 10:35:25,480:INFO:master_model_container: 12
- 2022-01-26 10:35:25,480:INFO:display_container: 2
- 2022-01-26 10:35:25,481:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4851, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:25,481:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:25,551:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:25,552:INFO:Creating metrics dataframe
- 2022-01-26 10:35:25,565:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-26 10:35:25,565:INFO:Total runtime is 1.4725696206092838 minutes
- 2022-01-26 10:35:25,570:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:35:25,571:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:35:25,571:INFO:Checking exceptions
- 2022-01-26 10:35:25,571:INFO:Importing libraries
- 2022-01-26 10:35:25,571:INFO:Copying training dataset
- 2022-01-26 10:35:25,573:INFO:Defining folds
- 2022-01-26 10:35:25,573:INFO:Declaring metric variables
- 2022-01-26 10:35:25,578:INFO:Importing untrained model
- 2022-01-26 10:35:25,583:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 10:35:25,594:INFO:Starting cross validation
- 2022-01-26 10:35:25,594:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:28,844:INFO:Calculating mean and std
- 2022-01-26 10:35:28,845:INFO:Creating metrics dataframe
- 2022-01-26 10:35:28,848:INFO:Uploading results into container
- 2022-01-26 10:35:28,848:INFO:Uploading model into container now
- 2022-01-26 10:35:28,848:INFO:create_model_container: 13
- 2022-01-26 10:35:28,849:INFO:master_model_container: 13
- 2022-01-26 10:35:28,849:INFO:display_container: 2
- 2022-01-26 10:35:28,849:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 10:35:28,850:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:28,917:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:28,917:INFO:Creating metrics dataframe
- 2022-01-26 10:35:28,931:INFO:Initializing Dummy Classifier
- 2022-01-26 10:35:28,931:INFO:Total runtime is 1.5286695639292402 minutes
- 2022-01-26 10:35:28,936:INFO:SubProcess create_model() called ==================================
- 2022-01-26 10:35:28,936:INFO:Initializing create_model()
- 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={})
- 2022-01-26 10:35:28,937:INFO:Checking exceptions
- 2022-01-26 10:35:28,937:INFO:Importing libraries
- 2022-01-26 10:35:28,937:INFO:Copying training dataset
- 2022-01-26 10:35:28,939:INFO:Defining folds
- 2022-01-26 10:35:28,939:INFO:Declaring metric variables
- 2022-01-26 10:35:28,944:INFO:Importing untrained model
- 2022-01-26 10:35:28,948:INFO:Dummy Classifier Imported succesfully
- 2022-01-26 10:35:28,959:INFO:Starting cross validation
- 2022-01-26 10:35:28,959:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 10:35:29,074:INFO:Calculating mean and std
- 2022-01-26 10:35:29,075:INFO:Creating metrics dataframe
- 2022-01-26 10:35:29,077:INFO:Uploading results into container
- 2022-01-26 10:35:29,077:INFO:Uploading model into container now
- 2022-01-26 10:35:29,078:INFO:create_model_container: 14
- 2022-01-26 10:35:29,078:INFO:master_model_container: 14
- 2022-01-26 10:35:29,078:INFO:display_container: 2
- 2022-01-26 10:35:29,078:INFO:DummyClassifier(constant=None, random_state=4851, strategy='prior')
- 2022-01-26 10:35:29,079:INFO:create_model() succesfully completed......................................
- 2022-01-26 10:35:29,151:INFO:SubProcess create_model() end ==================================
- 2022-01-26 10:35:29,151:INFO:Creating metrics dataframe
- 2022-01-26 10:35:29,178:INFO:Initializing create_model()
- 2022-01-26 10:35:29,178:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4851, verbose=0,
- 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={})
- 2022-01-26 10:35:29,178:INFO:Checking exceptions
- 2022-01-26 10:35:29,178:INFO:Importing libraries
- 2022-01-26 10:35:29,179:INFO:Copying training dataset
- 2022-01-26 10:35:29,180:INFO:Defining folds
- 2022-01-26 10:35:29,180:INFO:Declaring metric variables
- 2022-01-26 10:35:29,180:INFO:Importing untrained model
- 2022-01-26 10:35:29,180:INFO:Declaring custom model
- 2022-01-26 10:35:29,181:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 10:35:29,181:INFO:Cross validation set to False
- 2022-01-26 10:35:29,181:INFO:Fitting Model
- 2022-01-26 10:35:29,517:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4851, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:29,517:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:29,595:INFO:Initializing create_model()
- 2022-01-26 10:35:29,595:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
- 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={})
- 2022-01-26 10:35:29,595:INFO:Checking exceptions
- 2022-01-26 10:35:29,595:INFO:Importing libraries
- 2022-01-26 10:35:29,595:INFO:Copying training dataset
- 2022-01-26 10:35:29,596:INFO:Defining folds
- 2022-01-26 10:35:29,596:INFO:Declaring metric variables
- 2022-01-26 10:35:29,597:INFO:Importing untrained model
- 2022-01-26 10:35:29,597:INFO:Declaring custom model
- 2022-01-26 10:35:29,597:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 10:35:29,598:INFO:Cross validation set to False
- 2022-01-26 10:35:29,598:INFO:Fitting Model
- 2022-01-26 10:35:29,982:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:29,983:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:30,057:INFO:Initializing create_model()
- 2022-01-26 10:35:30,057:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-26 10:35:30,057:INFO:Checking exceptions
- 2022-01-26 10:35:30,057:INFO:Importing libraries
- 2022-01-26 10:35:30,058:INFO:Copying training dataset
- 2022-01-26 10:35:30,059:INFO:Defining folds
- 2022-01-26 10:35:30,059:INFO:Declaring metric variables
- 2022-01-26 10:35:30,059:INFO:Importing untrained model
- 2022-01-26 10:35:30,059:INFO:Declaring custom model
- 2022-01-26 10:35:30,060:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 10:35:30,060:INFO:Cross validation set to False
- 2022-01-26 10:35:30,060:INFO:Fitting Model
- 2022-01-26 10:35:30,399:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 10:35:30,400:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:30,471:INFO:Initializing create_model()
- 2022-01-26 10:35:30,472:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-26 10:35:30,472:INFO:Checking exceptions
- 2022-01-26 10:35:30,472:INFO:Importing libraries
- 2022-01-26 10:35:30,472:INFO:Copying training dataset
- 2022-01-26 10:35:30,473:INFO:Defining folds
- 2022-01-26 10:35:30,473:INFO:Declaring metric variables
- 2022-01-26 10:35:30,473:INFO:Importing untrained model
- 2022-01-26 10:35:30,474:INFO:Declaring custom model
- 2022-01-26 10:35:30,474:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 10:35:30,474:INFO:Cross validation set to False
- 2022-01-26 10:35:30,474:INFO:Fitting Model
- 2022-01-26 10:35:30,635:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4851, splitter='best')
- 2022-01-26 10:35:30,635:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:30,708:INFO:Initializing create_model()
- 2022-01-26 10:35:30,708:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-26 10:35:30,708:INFO:Checking exceptions
- 2022-01-26 10:35:30,708:INFO:Importing libraries
- 2022-01-26 10:35:30,709:INFO:Copying training dataset
- 2022-01-26 10:35:30,710:INFO:Defining folds
- 2022-01-26 10:35:30,710:INFO:Declaring metric variables
- 2022-01-26 10:35:30,710:INFO:Importing untrained model
- 2022-01-26 10:35:30,710:INFO:Declaring custom model
- 2022-01-26 10:35:30,710:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 10:35:30,711:INFO:Cross validation set to False
- 2022-01-26 10:35:30,711:INFO:Fitting Model
- 2022-01-26 10:35:31,482:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 10:35:31,482:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:31,557:INFO:Initializing create_model()
- 2022-01-26 10:35:31,558:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4851, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-26 10:35:31,558:INFO:Checking exceptions
- 2022-01-26 10:35:31,558:INFO:Importing libraries
- 2022-01-26 10:35:31,558:INFO:Copying training dataset
- 2022-01-26 10:35:31,559:INFO:Defining folds
- 2022-01-26 10:35:31,560:INFO:Declaring metric variables
- 2022-01-26 10:35:31,560:INFO:Importing untrained model
- 2022-01-26 10:35:31,560:INFO:Declaring custom model
- 2022-01-26 10:35:31,560:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 10:35:31,561:INFO:Cross validation set to False
- 2022-01-26 10:35:31,561:INFO:Fitting Model
- 2022-01-26 10:35:35,011:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4851, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 10:35:35,012:INFO:create_models() succesfully completed......................................
- 2022-01-26 10:35:35,104:INFO:create_model_container: 14
- 2022-01-26 10:35:35,104:INFO:master_model_container: 14
- 2022-01-26 10:35:35,105:INFO:display_container: 2
- 2022-01-26 10:35:35,106:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4851, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4851, verbose=0,
- warm_start=False), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=4851, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4851, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4851, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-26 10:35:35,106:INFO:compare_models() succesfully completed......................................
- 2022-01-26 11:16:49,076:INFO:PyCaret Supervised Module
- 2022-01-26 11:16:49,076:INFO:ML Usecase: classification
- 2022-01-26 11:16:49,076:INFO:version 2.3.6
- 2022-01-26 11:16:49,077:INFO:Initializing setup()
- 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)
- 2022-01-26 11:16:49,077:INFO:Checking environment
- 2022-01-26 11:16:49,077:INFO:python_version: 3.8.8
- 2022-01-26 11:16:49,077:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 11:16:49,077:INFO:machine: x86_64
- 2022-01-26 11:16:49,078:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 11:16:49,078:INFO:Physical Core: 16
- 2022-01-26 11:16:49,079:INFO:Logical Core: 32
- 2022-01-26 11:16:49,079:INFO:Checking libraries
- 2022-01-26 11:16:49,079:INFO:pd==1.2.4
- 2022-01-26 11:16:49,079:INFO:numpy==1.19.5
- 2022-01-26 11:16:49,079:INFO:sklearn==0.23.2
- 2022-01-26 11:16:49,079:INFO:lightgbm==3.3.2
- 2022-01-26 11:16:49,080:WARNING:catboost not found
- 2022-01-26 11:16:49,080:WARNING:xgboost not found
- 2022-01-26 11:16:49,081:INFO:mlflow==1.22.0
- 2022-01-26 11:16:49,081:INFO:Checking Exceptions
- 2022-01-26 11:16:49,081:INFO:Declaring global variables
- 2022-01-26 11:16:49,081:INFO:USI: 0901
- 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'}
- 2022-01-26 11:16:49,081:INFO:Preparing display monitor
- 2022-01-26 11:16:49,081:INFO:Preparing display monitor
- 2022-01-26 11:16:49,090:INFO:Importing libraries
- 2022-01-26 11:16:49,090:INFO:Copying data for preprocessing
- 2022-01-26 11:16:49,096:INFO:Declaring preprocessing parameters
- 2022-01-26 11:16:49,097:WARNING:cuML not found
- 2022-01-26 11:16:49,097:WARNING:cuML is outdated or not found. Required version is >=0.15, got 3.3.2
- 2022-01-26 11:16:49,099:INFO:Creating preprocessing pipeline
- 2022-01-26 11:16:49,146:INFO:Preprocessing pipeline created successfully
- 2022-01-26 11:16:49,146:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 11:16:49,147:INFO:Creating global containers
- 2022-01-26 11:16:49,147:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 11:16:51,131:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 11:16:51,161:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 11:16:51,162:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 11:16:51,162:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 11:16:51,178:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 11:16:51,181:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 11:16:51,182:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 11:16:51,193:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 11:16:51,194:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 11:16:51,225:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 11:16:51,226:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 11:16:51,227:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 11:16:51,242:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 11:16:51,246:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 11:16:51,247:WARNING:Couldn't import xgboost.XGBClassifier
- 2022-01-26 11:16:51,251:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 11:16:51,252:INFO:Creating grid variables
- 2022-01-26 11:16:51,263:INFO:create_model_container: 0
- 2022-01-26 11:16:51,264:INFO:master_model_container: 0
- 2022-01-26 11:16:51,264:INFO:display_container: 1
- 2022-01-26 11:16:51,267:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 11:16:51,267:INFO:setup() succesfully completed......................................
- 2022-01-26 11:16:59,004:INFO:Initializing compare_models()
- 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)
- 2022-01-26 11:16:59,004:INFO:Checking exceptions
- 2022-01-26 11:16:59,005:INFO:Preparing display monitor
- 2022-01-26 11:16:59,006:INFO:Preparing display monitor
- 2022-01-26 11:16:59,023:INFO:Initializing Logistic Regression
- 2022-01-26 11:16:59,023:INFO:Total runtime is 5.316734313964844e-06 minutes
- 2022-01-26 11:16:59,028:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:16:59,029:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:16:59,029:INFO:Checking exceptions
- 2022-01-26 11:16:59,029:INFO:Importing libraries
- 2022-01-26 11:16:59,029:INFO:Copying training dataset
- 2022-01-26 11:16:59,030:INFO:Defining folds
- 2022-01-26 11:16:59,030:INFO:Declaring metric variables
- 2022-01-26 11:16:59,035:INFO:Importing untrained model
- 2022-01-26 11:16:59,040:INFO:Logistic Regression Imported succesfully
- 2022-01-26 11:16:59,051:INFO:Starting cross validation
- 2022-01-26 11:16:59,052:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:04,419:INFO:Calculating mean and std
- 2022-01-26 11:17:04,420:INFO:Creating metrics dataframe
- 2022-01-26 11:17:04,425:INFO:Uploading results into container
- 2022-01-26 11:17:04,426:INFO:Uploading model into container now
- 2022-01-26 11:17:04,426:INFO:create_model_container: 1
- 2022-01-26 11:17:04,426:INFO:master_model_container: 1
- 2022-01-26 11:17:04,426:INFO:display_container: 2
- 2022-01-26 11:17:04,427:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=6208, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-26 11:17:04,427:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:04,510:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:04,510:INFO:Creating metrics dataframe
- 2022-01-26 11:17:04,520:INFO:Initializing K Neighbors Classifier
- 2022-01-26 11:17:04,520:INFO:Total runtime is 0.09162770907084147 minutes
- 2022-01-26 11:17:04,526:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:04,526:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:04,527:INFO:Checking exceptions
- 2022-01-26 11:17:04,527:INFO:Importing libraries
- 2022-01-26 11:17:04,527:INFO:Copying training dataset
- 2022-01-26 11:17:04,528:INFO:Defining folds
- 2022-01-26 11:17:04,528:INFO:Declaring metric variables
- 2022-01-26 11:17:04,534:INFO:Importing untrained model
- 2022-01-26 11:17:04,539:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 11:17:04,550:INFO:Starting cross validation
- 2022-01-26 11:17:04,550:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:17,138:INFO:Calculating mean and std
- 2022-01-26 11:17:17,139:INFO:Creating metrics dataframe
- 2022-01-26 11:17:17,142:INFO:Uploading results into container
- 2022-01-26 11:17:17,142:INFO:Uploading model into container now
- 2022-01-26 11:17:17,142:INFO:create_model_container: 2
- 2022-01-26 11:17:17,142:INFO:master_model_container: 2
- 2022-01-26 11:17:17,143:INFO:display_container: 2
- 2022-01-26 11:17:17,143:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 11:17:17,143:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:17,226:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:17,227:INFO:Creating metrics dataframe
- 2022-01-26 11:17:17,238:INFO:Initializing Naive Bayes
- 2022-01-26 11:17:17,238:INFO:Total runtime is 0.30358940760294595 minutes
- 2022-01-26 11:17:17,244:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:17,245:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:17,245:INFO:Checking exceptions
- 2022-01-26 11:17:17,245:INFO:Importing libraries
- 2022-01-26 11:17:17,246:INFO:Copying training dataset
- 2022-01-26 11:17:17,247:INFO:Defining folds
- 2022-01-26 11:17:17,247:INFO:Declaring metric variables
- 2022-01-26 11:17:17,253:INFO:Importing untrained model
- 2022-01-26 11:17:17,258:INFO:Naive Bayes Imported succesfully
- 2022-01-26 11:17:17,269:INFO:Starting cross validation
- 2022-01-26 11:17:17,269:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:17,455:INFO:Calculating mean and std
- 2022-01-26 11:17:17,456:INFO:Creating metrics dataframe
- 2022-01-26 11:17:17,458:INFO:Uploading results into container
- 2022-01-26 11:17:17,459:INFO:Uploading model into container now
- 2022-01-26 11:17:17,459:INFO:create_model_container: 3
- 2022-01-26 11:17:17,459:INFO:master_model_container: 3
- 2022-01-26 11:17:17,459:INFO:display_container: 2
- 2022-01-26 11:17:17,460:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-26 11:17:17,460:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:17,526:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:17,526:INFO:Creating metrics dataframe
- 2022-01-26 11:17:17,537:INFO:Initializing Decision Tree Classifier
- 2022-01-26 11:17:17,537:INFO:Total runtime is 0.30857091347376503 minutes
- 2022-01-26 11:17:17,542:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:17,543:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:17,543:INFO:Checking exceptions
- 2022-01-26 11:17:17,543:INFO:Importing libraries
- 2022-01-26 11:17:17,543:INFO:Copying training dataset
- 2022-01-26 11:17:17,544:INFO:Defining folds
- 2022-01-26 11:17:17,544:INFO:Declaring metric variables
- 2022-01-26 11:17:17,549:INFO:Importing untrained model
- 2022-01-26 11:17:17,554:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 11:17:17,565:INFO:Starting cross validation
- 2022-01-26 11:17:17,565:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:18,622:INFO:Calculating mean and std
- 2022-01-26 11:17:18,623:INFO:Creating metrics dataframe
- 2022-01-26 11:17:18,625:INFO:Uploading results into container
- 2022-01-26 11:17:18,625:INFO:Uploading model into container now
- 2022-01-26 11:17:18,626:INFO:create_model_container: 4
- 2022-01-26 11:17:18,626:INFO:master_model_container: 4
- 2022-01-26 11:17:18,626:INFO:display_container: 2
- 2022-01-26 11:17:18,626:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6208, splitter='best')
- 2022-01-26 11:17:18,627:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:18,705:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:18,705:INFO:Creating metrics dataframe
- 2022-01-26 11:17:18,717:INFO:Initializing SVM - Linear Kernel
- 2022-01-26 11:17:18,717:INFO:Total runtime is 0.3282352526982625 minutes
- 2022-01-26 11:17:18,722:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:18,722:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:18,723:INFO:Checking exceptions
- 2022-01-26 11:17:18,723:INFO:Importing libraries
- 2022-01-26 11:17:18,723:INFO:Copying training dataset
- 2022-01-26 11:17:18,724:INFO:Defining folds
- 2022-01-26 11:17:18,724:INFO:Declaring metric variables
- 2022-01-26 11:17:18,730:INFO:Importing untrained model
- 2022-01-26 11:17:18,735:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-26 11:17:18,745:INFO:Starting cross validation
- 2022-01-26 11:17:18,746:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:19,762:INFO:Calculating mean and std
- 2022-01-26 11:17:19,763:INFO:Creating metrics dataframe
- 2022-01-26 11:17:19,768:INFO:Uploading results into container
- 2022-01-26 11:17:19,768:INFO:Uploading model into container now
- 2022-01-26 11:17:19,769:INFO:create_model_container: 5
- 2022-01-26 11:17:19,770:INFO:master_model_container: 5
- 2022-01-26 11:17:19,771:INFO:display_container: 2
- 2022-01-26 11:17:19,772:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=6208, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-26 11:17:19,774:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:19,865:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:19,865:INFO:Creating metrics dataframe
- 2022-01-26 11:17:19,876:INFO:Initializing Ridge Classifier
- 2022-01-26 11:17:19,876:INFO:Total runtime is 0.34756100575129184 minutes
- 2022-01-26 11:17:19,882:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:19,882:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:19,883:INFO:Checking exceptions
- 2022-01-26 11:17:19,883:INFO:Importing libraries
- 2022-01-26 11:17:19,883:INFO:Copying training dataset
- 2022-01-26 11:17:19,884:INFO:Defining folds
- 2022-01-26 11:17:19,884:INFO:Declaring metric variables
- 2022-01-26 11:17:19,889:INFO:Importing untrained model
- 2022-01-26 11:17:19,894:INFO:Ridge Classifier Imported succesfully
- 2022-01-26 11:17:19,905:INFO:Starting cross validation
- 2022-01-26 11:17:19,905:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:20,206:INFO:Calculating mean and std
- 2022-01-26 11:17:20,208:INFO:Creating metrics dataframe
- 2022-01-26 11:17:20,213:INFO:Uploading results into container
- 2022-01-26 11:17:20,213:INFO:Uploading model into container now
- 2022-01-26 11:17:20,215:INFO:create_model_container: 6
- 2022-01-26 11:17:20,215:INFO:master_model_container: 6
- 2022-01-26 11:17:20,215:INFO:display_container: 2
- 2022-01-26 11:17:20,216:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=6208,
- solver='auto', tol=0.001)
- 2022-01-26 11:17:20,217:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:20,304:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:20,304:INFO:Creating metrics dataframe
- 2022-01-26 11:17:20,317:INFO:Initializing Random Forest Classifier
- 2022-01-26 11:17:20,317:INFO:Total runtime is 0.3549059748649597 minutes
- 2022-01-26 11:17:20,323:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:20,324:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:20,324:INFO:Checking exceptions
- 2022-01-26 11:17:20,324:INFO:Importing libraries
- 2022-01-26 11:17:20,324:INFO:Copying training dataset
- 2022-01-26 11:17:20,326:INFO:Defining folds
- 2022-01-26 11:17:20,326:INFO:Declaring metric variables
- 2022-01-26 11:17:20,332:INFO:Importing untrained model
- 2022-01-26 11:17:20,337:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 11:17:20,348:INFO:Starting cross validation
- 2022-01-26 11:17:20,349:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:26,934:INFO:Calculating mean and std
- 2022-01-26 11:17:26,935:INFO:Creating metrics dataframe
- 2022-01-26 11:17:26,938:INFO:Uploading results into container
- 2022-01-26 11:17:26,938:INFO:Uploading model into container now
- 2022-01-26 11:17:26,938:INFO:create_model_container: 7
- 2022-01-26 11:17:26,939:INFO:master_model_container: 7
- 2022-01-26 11:17:26,939:INFO:display_container: 2
- 2022-01-26 11:17:26,939:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
- warm_start=False)
- 2022-01-26 11:17:26,939:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:27,020:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:27,020:INFO:Creating metrics dataframe
- 2022-01-26 11:17:27,032:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-26 11:17:27,032:INFO:Total runtime is 0.46681727965672803 minutes
- 2022-01-26 11:17:27,037:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:27,037:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:27,038:INFO:Checking exceptions
- 2022-01-26 11:17:27,038:INFO:Importing libraries
- 2022-01-26 11:17:27,038:INFO:Copying training dataset
- 2022-01-26 11:17:27,039:INFO:Defining folds
- 2022-01-26 11:17:27,039:INFO:Declaring metric variables
- 2022-01-26 11:17:27,044:INFO:Importing untrained model
- 2022-01-26 11:17:27,049:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-26 11:17:27,060:INFO:Starting cross validation
- 2022-01-26 11:17:27,061:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:27,594:INFO:Calculating mean and std
- 2022-01-26 11:17:27,595:INFO:Creating metrics dataframe
- 2022-01-26 11:17:27,603:INFO:Uploading results into container
- 2022-01-26 11:17:27,603:INFO:Uploading model into container now
- 2022-01-26 11:17:27,604:INFO:create_model_container: 8
- 2022-01-26 11:17:27,604:INFO:master_model_container: 8
- 2022-01-26 11:17:27,605:INFO:display_container: 2
- 2022-01-26 11:17:27,606:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-26 11:17:27,606:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:27,685:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:27,686:INFO:Creating metrics dataframe
- 2022-01-26 11:17:27,697:INFO:Initializing Ada Boost Classifier
- 2022-01-26 11:17:27,698:INFO:Total runtime is 0.477915334701538 minutes
- 2022-01-26 11:17:27,703:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:27,703:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:27,704:INFO:Checking exceptions
- 2022-01-26 11:17:27,704:INFO:Importing libraries
- 2022-01-26 11:17:27,704:INFO:Copying training dataset
- 2022-01-26 11:17:27,705:INFO:Defining folds
- 2022-01-26 11:17:27,705:INFO:Declaring metric variables
- 2022-01-26 11:17:27,710:INFO:Importing untrained model
- 2022-01-26 11:17:27,715:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-26 11:17:27,725:INFO:Starting cross validation
- 2022-01-26 11:17:27,726:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:17:35,012:INFO:Calculating mean and std
- 2022-01-26 11:17:35,013:INFO:Creating metrics dataframe
- 2022-01-26 11:17:35,015:INFO:Uploading results into container
- 2022-01-26 11:17:35,015:INFO:Uploading model into container now
- 2022-01-26 11:17:35,016:INFO:create_model_container: 9
- 2022-01-26 11:17:35,016:INFO:master_model_container: 9
- 2022-01-26 11:17:35,016:INFO:display_container: 2
- 2022-01-26 11:17:35,016:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=6208)
- 2022-01-26 11:17:35,016:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:17:35,085:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:17:35,085:INFO:Creating metrics dataframe
- 2022-01-26 11:17:35,097:INFO:Initializing Gradient Boosting Classifier
- 2022-01-26 11:17:35,097:INFO:Total runtime is 0.6012375831604003 minutes
- 2022-01-26 11:17:35,102:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:17:35,103:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:17:35,103:INFO:Checking exceptions
- 2022-01-26 11:17:35,103:INFO:Importing libraries
- 2022-01-26 11:17:35,103:INFO:Copying training dataset
- 2022-01-26 11:17:35,104:INFO:Defining folds
- 2022-01-26 11:17:35,105:INFO:Declaring metric variables
- 2022-01-26 11:17:35,110:INFO:Importing untrained model
- 2022-01-26 11:17:35,116:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 11:17:35,126:INFO:Starting cross validation
- 2022-01-26 11:17:35,127:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:01,620:INFO:Calculating mean and std
- 2022-01-26 11:18:01,621:INFO:Creating metrics dataframe
- 2022-01-26 11:18:01,624:INFO:Uploading results into container
- 2022-01-26 11:18:01,624:INFO:Uploading model into container now
- 2022-01-26 11:18:01,624:INFO:create_model_container: 10
- 2022-01-26 11:18:01,624:INFO:master_model_container: 10
- 2022-01-26 11:18:01,625:INFO:display_container: 2
- 2022-01-26 11:18:01,625:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6208, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:01,626:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:01,701:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:01,701:INFO:Creating metrics dataframe
- 2022-01-26 11:18:01,714:INFO:Initializing Linear Discriminant Analysis
- 2022-01-26 11:18:01,714:INFO:Total runtime is 1.0448512911796568 minutes
- 2022-01-26 11:18:01,719:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:18:01,719:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:18:01,720:INFO:Checking exceptions
- 2022-01-26 11:18:01,720:INFO:Importing libraries
- 2022-01-26 11:18:01,720:INFO:Copying training dataset
- 2022-01-26 11:18:01,721:INFO:Defining folds
- 2022-01-26 11:18:01,722:INFO:Declaring metric variables
- 2022-01-26 11:18:01,727:INFO:Importing untrained model
- 2022-01-26 11:18:01,732:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-26 11:18:01,742:INFO:Starting cross validation
- 2022-01-26 11:18:01,742:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:03,060:INFO:Calculating mean and std
- 2022-01-26 11:18:03,062:INFO:Creating metrics dataframe
- 2022-01-26 11:18:03,068:INFO:Uploading results into container
- 2022-01-26 11:18:03,068:INFO:Uploading model into container now
- 2022-01-26 11:18:03,069:INFO:create_model_container: 11
- 2022-01-26 11:18:03,069:INFO:master_model_container: 11
- 2022-01-26 11:18:03,070:INFO:display_container: 2
- 2022-01-26 11:18:03,071:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-26 11:18:03,072:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:03,171:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:03,171:INFO:Creating metrics dataframe
- 2022-01-26 11:18:03,184:INFO:Initializing Extra Trees Classifier
- 2022-01-26 11:18:03,184:INFO:Total runtime is 1.0693549036979673 minutes
- 2022-01-26 11:18:03,189:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:18:03,190:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:18:03,190:INFO:Checking exceptions
- 2022-01-26 11:18:03,190:INFO:Importing libraries
- 2022-01-26 11:18:03,190:INFO:Copying training dataset
- 2022-01-26 11:18:03,191:INFO:Defining folds
- 2022-01-26 11:18:03,191:INFO:Declaring metric variables
- 2022-01-26 11:18:03,197:INFO:Importing untrained model
- 2022-01-26 11:18:03,202:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 11:18:03,212:INFO:Starting cross validation
- 2022-01-26 11:18:03,213:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:10,156:INFO:Calculating mean and std
- 2022-01-26 11:18:10,157:INFO:Creating metrics dataframe
- 2022-01-26 11:18:10,160:INFO:Uploading results into container
- 2022-01-26 11:18:10,160:INFO:Uploading model into container now
- 2022-01-26 11:18:10,160:INFO:create_model_container: 12
- 2022-01-26 11:18:10,160:INFO:master_model_container: 12
- 2022-01-26 11:18:10,161:INFO:display_container: 2
- 2022-01-26 11:18:10,161:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6208, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:10,161:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:10,232:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:10,232:INFO:Creating metrics dataframe
- 2022-01-26 11:18:10,245:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-26 11:18:10,245:INFO:Total runtime is 1.1870358864466346 minutes
- 2022-01-26 11:18:10,250:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:18:10,251:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:18:10,251:INFO:Checking exceptions
- 2022-01-26 11:18:10,251:INFO:Importing libraries
- 2022-01-26 11:18:10,252:INFO:Copying training dataset
- 2022-01-26 11:18:10,253:INFO:Defining folds
- 2022-01-26 11:18:10,253:INFO:Declaring metric variables
- 2022-01-26 11:18:10,257:INFO:Importing untrained model
- 2022-01-26 11:18:10,262:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 11:18:10,273:INFO:Starting cross validation
- 2022-01-26 11:18:10,274:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:13,268:INFO:Calculating mean and std
- 2022-01-26 11:18:13,269:INFO:Creating metrics dataframe
- 2022-01-26 11:18:13,271:INFO:Uploading results into container
- 2022-01-26 11:18:13,271:INFO:Uploading model into container now
- 2022-01-26 11:18:13,271:INFO:create_model_container: 13
- 2022-01-26 11:18:13,271:INFO:master_model_container: 13
- 2022-01-26 11:18:13,272:INFO:display_container: 2
- 2022-01-26 11:18:13,272:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 11:18:13,272:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:13,342:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:13,342:INFO:Creating metrics dataframe
- 2022-01-26 11:18:13,355:INFO:Initializing Dummy Classifier
- 2022-01-26 11:18:13,355:INFO:Total runtime is 1.2388765295346575 minutes
- 2022-01-26 11:18:13,361:INFO:SubProcess create_model() called ==================================
- 2022-01-26 11:18:13,361:INFO:Initializing create_model()
- 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={})
- 2022-01-26 11:18:13,362:INFO:Checking exceptions
- 2022-01-26 11:18:13,362:INFO:Importing libraries
- 2022-01-26 11:18:13,362:INFO:Copying training dataset
- 2022-01-26 11:18:13,363:INFO:Defining folds
- 2022-01-26 11:18:13,363:INFO:Declaring metric variables
- 2022-01-26 11:18:13,368:INFO:Importing untrained model
- 2022-01-26 11:18:13,373:INFO:Dummy Classifier Imported succesfully
- 2022-01-26 11:18:13,384:INFO:Starting cross validation
- 2022-01-26 11:18:13,384:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 11:18:13,491:INFO:Calculating mean and std
- 2022-01-26 11:18:13,492:INFO:Creating metrics dataframe
- 2022-01-26 11:18:13,495:INFO:Uploading results into container
- 2022-01-26 11:18:13,495:INFO:Uploading model into container now
- 2022-01-26 11:18:13,495:INFO:create_model_container: 14
- 2022-01-26 11:18:13,495:INFO:master_model_container: 14
- 2022-01-26 11:18:13,495:INFO:display_container: 2
- 2022-01-26 11:18:13,496:INFO:DummyClassifier(constant=None, random_state=6208, strategy='prior')
- 2022-01-26 11:18:13,496:INFO:create_model() succesfully completed......................................
- 2022-01-26 11:18:13,577:INFO:SubProcess create_model() end ==================================
- 2022-01-26 11:18:13,577:INFO:Creating metrics dataframe
- 2022-01-26 11:18:13,604:INFO:Initializing create_model()
- 2022-01-26 11:18:13,604:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6208, verbose=0,
- 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={})
- 2022-01-26 11:18:13,604:INFO:Checking exceptions
- 2022-01-26 11:18:13,604:INFO:Importing libraries
- 2022-01-26 11:18:13,605:INFO:Copying training dataset
- 2022-01-26 11:18:13,605:INFO:Defining folds
- 2022-01-26 11:18:13,606:INFO:Declaring metric variables
- 2022-01-26 11:18:13,606:INFO:Importing untrained model
- 2022-01-26 11:18:13,606:INFO:Declaring custom model
- 2022-01-26 11:18:13,607:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-26 11:18:13,607:INFO:Cross validation set to False
- 2022-01-26 11:18:13,607:INFO:Fitting Model
- 2022-01-26 11:18:13,937:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6208, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:13,937:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:14,008:INFO:Initializing create_model()
- 2022-01-26 11:18:14,009:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
- 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={})
- 2022-01-26 11:18:14,009:INFO:Checking exceptions
- 2022-01-26 11:18:14,009:INFO:Importing libraries
- 2022-01-26 11:18:14,009:INFO:Copying training dataset
- 2022-01-26 11:18:14,010:INFO:Defining folds
- 2022-01-26 11:18:14,010:INFO:Declaring metric variables
- 2022-01-26 11:18:14,010:INFO:Importing untrained model
- 2022-01-26 11:18:14,011:INFO:Declaring custom model
- 2022-01-26 11:18:14,011:INFO:Random Forest Classifier Imported succesfully
- 2022-01-26 11:18:14,011:INFO:Cross validation set to False
- 2022-01-26 11:18:14,012:INFO:Fitting Model
- 2022-01-26 11:18:14,378:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:14,378:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:14,455:INFO:Initializing create_model()
- 2022-01-26 11:18:14,455:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-26 11:18:14,455:INFO:Checking exceptions
- 2022-01-26 11:18:14,456:INFO:Importing libraries
- 2022-01-26 11:18:14,456:INFO:Copying training dataset
- 2022-01-26 11:18:14,457:INFO:Defining folds
- 2022-01-26 11:18:14,457:INFO:Declaring metric variables
- 2022-01-26 11:18:14,457:INFO:Importing untrained model
- 2022-01-26 11:18:14,457:INFO:Declaring custom model
- 2022-01-26 11:18:14,457:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-26 11:18:14,458:INFO:Cross validation set to False
- 2022-01-26 11:18:14,458:INFO:Fitting Model
- 2022-01-26 11:18:14,709:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-26 11:18:14,709:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:14,785:INFO:Initializing create_model()
- 2022-01-26 11:18:14,785:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-26 11:18:14,785:INFO:Checking exceptions
- 2022-01-26 11:18:14,786:INFO:Importing libraries
- 2022-01-26 11:18:14,786:INFO:Copying training dataset
- 2022-01-26 11:18:14,786:INFO:Defining folds
- 2022-01-26 11:18:14,787:INFO:Declaring metric variables
- 2022-01-26 11:18:14,787:INFO:Importing untrained model
- 2022-01-26 11:18:14,787:INFO:Declaring custom model
- 2022-01-26 11:18:14,787:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-26 11:18:14,788:INFO:Cross validation set to False
- 2022-01-26 11:18:14,788:INFO:Fitting Model
- 2022-01-26 11:18:14,890:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6208, splitter='best')
- 2022-01-26 11:18:14,890:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:14,978:INFO:Initializing create_model()
- 2022-01-26 11:18:14,978:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-26 11:18:14,978:INFO:Checking exceptions
- 2022-01-26 11:18:14,979:INFO:Importing libraries
- 2022-01-26 11:18:14,979:INFO:Copying training dataset
- 2022-01-26 11:18:14,979:INFO:Defining folds
- 2022-01-26 11:18:14,979:INFO:Declaring metric variables
- 2022-01-26 11:18:14,980:INFO:Importing untrained model
- 2022-01-26 11:18:14,980:INFO:Declaring custom model
- 2022-01-26 11:18:14,980:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-26 11:18:14,981:INFO:Cross validation set to False
- 2022-01-26 11:18:14,981:INFO:Fitting Model
- 2022-01-26 11:18:15,731:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-26 11:18:15,732:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:15,805:INFO:Initializing create_model()
- 2022-01-26 11:18:15,805:INFO:create_model(estimator=GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6208, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- 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={})
- 2022-01-26 11:18:15,806:INFO:Checking exceptions
- 2022-01-26 11:18:15,806:INFO:Importing libraries
- 2022-01-26 11:18:15,806:INFO:Copying training dataset
- 2022-01-26 11:18:15,806:INFO:Defining folds
- 2022-01-26 11:18:15,807:INFO:Declaring metric variables
- 2022-01-26 11:18:15,807:INFO:Importing untrained model
- 2022-01-26 11:18:15,807:INFO:Declaring custom model
- 2022-01-26 11:18:15,807:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-26 11:18:15,808:INFO:Cross validation set to False
- 2022-01-26 11:18:15,808:INFO:Fitting Model
- 2022-01-26 11:18:18,766:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6208, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-26 11:18:18,767:INFO:create_models() succesfully completed......................................
- 2022-01-26 11:18:18,872:INFO:create_model_container: 14
- 2022-01-26 11:18:18,873:INFO:master_model_container: 14
- 2022-01-26 11:18:18,873:INFO:display_container: 2
- 2022-01-26 11:18:18,874:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=6208, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=6208, verbose=0,
- warm_start=False), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=6208, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=6208, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform'), GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=6208, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)]
- 2022-01-26 11:18:18,874:INFO:compare_models() succesfully completed......................................
- 2022-01-26 13:16:01,191:INFO:PyCaret Supervised Module
- 2022-01-26 13:16:01,191:INFO:ML Usecase: classification
- 2022-01-26 13:16:01,192:INFO:version 2.3.6
- 2022-01-26 13:16:01,192:INFO:Initializing setup()
- 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)
- 2022-01-26 13:16:01,192:INFO:Checking environment
- 2022-01-26 13:16:01,193:INFO:python_version: 3.8.8
- 2022-01-26 13:16:01,193:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 13:16:01,193:INFO:machine: x86_64
- 2022-01-26 13:16:01,193:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 13:16:01,194:INFO:Physical Core: 16
- 2022-01-26 13:16:01,195:INFO:Logical Core: 32
- 2022-01-26 13:16:01,195:INFO:Checking libraries
- 2022-01-26 13:16:01,195:INFO:pd==1.2.4
- 2022-01-26 13:16:01,195:INFO:numpy==1.19.5
- 2022-01-26 13:16:01,195:INFO:sklearn==0.23.2
- 2022-01-26 13:16:01,196:INFO:lightgbm==3.3.2
- 2022-01-26 13:16:01,196:WARNING:catboost not found
- 2022-01-26 13:16:01,207:INFO:xgboost==1.5.2
- 2022-01-26 13:16:01,337:INFO:mlflow==1.22.0
- 2022-01-26 13:16:01,337:INFO:Checking Exceptions
- 2022-01-26 13:16:01,338:INFO:Declaring global variables
- 2022-01-26 13:16:01,338:INFO:USI: 4809
- 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'}
- 2022-01-26 13:16:01,338:INFO:Preparing display monitor
- 2022-01-26 13:16:01,338:INFO:Preparing display monitor
- 2022-01-26 13:16:01,348:INFO:Importing libraries
- 2022-01-26 13:16:01,349:INFO:Copying data for preprocessing
- 2022-01-26 13:16:01,355:INFO:Declaring preprocessing parameters
- 2022-01-26 13:16:01,356:WARNING:cuML not found
- 2022-01-26 13:16:01,356:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-26 13:16:01,360:INFO:Creating preprocessing pipeline
- 2022-01-26 13:16:01,409:INFO:Preprocessing pipeline created successfully
- 2022-01-26 13:16:01,409:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 13:16:01,409:INFO:Creating global containers
- 2022-01-26 13:16:01,410:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 13:16:03,310:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:16:03,340:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:16:03,341:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:16:03,342:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:16:03,359:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:16:03,363:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:16:03,374:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:16:03,375:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:16:03,407:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:16:03,408:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:16:03,409:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:16:03,424:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:16:03,428:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:16:03,437:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:16:03,437:INFO:Creating grid variables
- 2022-01-26 13:16:03,450:INFO:create_model_container: 0
- 2022-01-26 13:16:03,450:INFO:master_model_container: 0
- 2022-01-26 13:16:03,450:INFO:display_container: 1
- 2022-01-26 13:16:03,453:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 13:16:03,453:INFO:setup() succesfully completed......................................
- 2022-01-26 13:16:38,840:INFO:Initializing create_model()
- 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={})
- 2022-01-26 13:16:38,841:INFO:Checking exceptions
- 2022-01-26 13:16:38,841:INFO:Preparing display monitor
- 2022-01-26 13:16:38,853:INFO:Importing libraries
- 2022-01-26 13:16:38,853:INFO:Copying training dataset
- 2022-01-26 13:16:38,855:INFO:Defining folds
- 2022-01-26 13:16:38,855:INFO:Declaring metric variables
- 2022-01-26 13:16:38,863:INFO:Importing untrained model
- 2022-01-26 13:16:38,869:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-26 13:16:38,881:INFO:Starting cross validation
- 2022-01-26 13:16:38,882:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 13:17:58,037:INFO:Calculating mean and std
- 2022-01-26 13:17:58,038:INFO:Creating metrics dataframe
- 2022-01-26 13:17:58,046:INFO:Finalizing model
- 2022-01-26 13:18:42,822:INFO:PyCaret Supervised Module
- 2022-01-26 13:18:42,822:INFO:ML Usecase: classification
- 2022-01-26 13:18:42,823:INFO:version 2.3.6
- 2022-01-26 13:18:42,823:INFO:Initializing setup()
- 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)
- 2022-01-26 13:18:42,823:INFO:Checking environment
- 2022-01-26 13:18:42,823:INFO:python_version: 3.8.8
- 2022-01-26 13:18:42,823:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 13:18:42,824:INFO:machine: x86_64
- 2022-01-26 13:18:42,824:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 13:18:42,825:INFO:Physical Core: 16
- 2022-01-26 13:18:42,825:INFO:Logical Core: 32
- 2022-01-26 13:18:42,825:INFO:Checking libraries
- 2022-01-26 13:18:42,825:INFO:pd==1.2.4
- 2022-01-26 13:18:42,825:INFO:numpy==1.19.5
- 2022-01-26 13:18:42,825:INFO:sklearn==0.23.2
- 2022-01-26 13:18:42,825:INFO:lightgbm==3.3.2
- 2022-01-26 13:18:42,826:WARNING:catboost not found
- 2022-01-26 13:18:42,826:INFO:xgboost==1.5.2
- 2022-01-26 13:18:42,826:INFO:mlflow==1.22.0
- 2022-01-26 13:18:42,826:INFO:Checking Exceptions
- 2022-01-26 13:18:42,826:INFO:Declaring global variables
- 2022-01-26 13:18:42,827:INFO:USI: f139
- 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'}
- 2022-01-26 13:18:42,827:INFO:Preparing display monitor
- 2022-01-26 13:18:42,827:INFO:Preparing display monitor
- 2022-01-26 13:18:42,835:INFO:Importing libraries
- 2022-01-26 13:18:42,835:INFO:Copying data for preprocessing
- 2022-01-26 13:18:42,841:INFO:Declaring preprocessing parameters
- 2022-01-26 13:18:42,843:INFO:Creating preprocessing pipeline
- 2022-01-26 13:18:42,887:INFO:Preprocessing pipeline created successfully
- 2022-01-26 13:18:42,887:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 13:18:42,888:INFO:Creating global containers
- 2022-01-26 13:18:42,888:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 13:18:44,507:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:18:44,556:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:18:44,556:INFO:Creating grid variables
- 2022-01-26 13:18:44,566:INFO:create_model_container: 0
- 2022-01-26 13:18:44,566:INFO:master_model_container: 0
- 2022-01-26 13:18:44,567:INFO:display_container: 1
- 2022-01-26 13:18:44,569:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 13:18:44,569:INFO:setup() succesfully completed......................................
- 2022-01-26 13:18:49,170:INFO:Initializing create_model()
- 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={})
- 2022-01-26 13:18:49,171:INFO:Checking exceptions
- 2022-01-26 13:18:49,171:INFO:Preparing display monitor
- 2022-01-26 13:18:49,182:INFO:Importing libraries
- 2022-01-26 13:18:49,182:INFO:Copying training dataset
- 2022-01-26 13:18:49,183:INFO:Defining folds
- 2022-01-26 13:18:49,183:INFO:Declaring metric variables
- 2022-01-26 13:18:49,189:INFO:Importing untrained model
- 2022-01-26 13:18:49,195:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-26 13:18:49,206:INFO:Starting cross validation
- 2022-01-26 13:18:49,207:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-26 13:27:30,798:INFO:Calculating mean and std
- 2022-01-26 13:27:30,799:INFO:Creating metrics dataframe
- 2022-01-26 13:27:30,809:INFO:Finalizing model
- 2022-01-26 13:27:31,527:INFO:Uploading results into container
- 2022-01-26 13:27:31,527:INFO:Uploading model into container now
- 2022-01-26 13:27:31,538:INFO:create_model_container: 1
- 2022-01-26 13:27:31,539:INFO:master_model_container: 1
- 2022-01-26 13:27:31,539:INFO:display_container: 2
- 2022-01-26 13:27:31,540:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1642, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-01-26 13:27:31,540:INFO:create_model() succesfully completed......................................
- 2022-01-26 13:28:23,554:INFO:Initializing tune_model()
- 2022-01-26 13:28:23,554:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1642, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- 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={})
- 2022-01-26 13:28:23,554:INFO:Checking exceptions
- 2022-01-26 13:28:23,556:INFO:Preparing display monitor
- 2022-01-26 13:28:23,569:INFO:Copying training dataset
- 2022-01-26 13:28:23,572:INFO:Checking base model
- 2022-01-26 13:28:23,573:INFO:Base model : Extreme Gradient Boosting
- 2022-01-26 13:28:23,589:INFO:Declaring metric variables
- 2022-01-26 13:28:23,596:INFO:Defining Hyperparameters
- 2022-01-26 13:28:23,687:INFO:Tuning with n_jobs=-1
- 2022-01-26 13:28:23,687:INFO:Initializing RandomizedSearchCV
- 2022-01-26 13:55:52,606:INFO:PyCaret Supervised Module
- 2022-01-26 13:55:52,606:INFO:ML Usecase: classification
- 2022-01-26 13:55:52,606:INFO:version 2.3.6
- 2022-01-26 13:55:52,606:INFO:Initializing setup()
- 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)
- 2022-01-26 13:55:52,607:INFO:Checking environment
- 2022-01-26 13:55:52,607:INFO:python_version: 3.8.8
- 2022-01-26 13:55:52,607:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 13:55:52,607:INFO:machine: x86_64
- 2022-01-26 13:55:52,607:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 13:55:52,608:INFO:Physical Core: 16
- 2022-01-26 13:55:52,608:INFO:Logical Core: 32
- 2022-01-26 13:55:52,609:INFO:Checking libraries
- 2022-01-26 13:55:52,609:INFO:pd==1.2.4
- 2022-01-26 13:55:52,609:INFO:numpy==1.19.5
- 2022-01-26 13:55:52,609:INFO:sklearn==0.23.2
- 2022-01-26 13:55:52,609:INFO:lightgbm==3.3.2
- 2022-01-26 13:55:52,610:WARNING:catboost not found
- 2022-01-26 13:55:52,619:INFO:xgboost==1.5.2
- 2022-01-26 13:55:52,744:INFO:mlflow==1.22.0
- 2022-01-26 13:55:52,745:INFO:Checking Exceptions
- 2022-01-26 13:55:52,745:INFO:Declaring global variables
- 2022-01-26 13:55:52,745:INFO:USI: 074c
- 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'}
- 2022-01-26 13:55:52,745:INFO:Preparing display monitor
- 2022-01-26 13:55:52,746:INFO:Preparing display monitor
- 2022-01-26 13:55:52,755:INFO:Importing libraries
- 2022-01-26 13:55:52,755:INFO:Copying data for preprocessing
- 2022-01-26 13:55:52,761:INFO:Declaring preprocessing parameters
- 2022-01-26 13:55:52,762:WARNING:cuML not found
- 2022-01-26 13:55:52,762:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-26 13:55:52,768:INFO:Creating preprocessing pipeline
- 2022-01-26 13:55:52,815:INFO:Preprocessing pipeline created successfully
- 2022-01-26 13:55:52,816:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 13:55:52,816:INFO:Creating global containers
- 2022-01-26 13:55:52,817:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 13:55:54,788:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:55:54,818:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:55:54,820:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:55:54,821:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:55:54,836:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:55:54,839:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:55:54,849:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:55:54,849:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:55:54,879:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:55:54,879:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:55:54,880:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:55:54,894:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:55:54,897:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:55:54,904:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:55:54,904:INFO:Creating grid variables
- 2022-01-26 13:55:54,916:INFO:create_model_container: 0
- 2022-01-26 13:55:54,916:INFO:master_model_container: 0
- 2022-01-26 13:55:54,916:INFO:display_container: 1
- 2022-01-26 13:55:54,919:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 13:55:54,919:INFO:setup() succesfully completed......................................
- 2022-01-26 13:56:08,045:INFO:Initializing create_model()
- 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={})
- 2022-01-26 13:56:08,045:INFO:Checking exceptions
- 2022-01-26 13:56:08,046:INFO:Preparing display monitor
- 2022-01-26 13:56:08,056:INFO:Importing libraries
- 2022-01-26 13:56:08,056:INFO:Copying training dataset
- 2022-01-26 13:56:08,058:INFO:Defining folds
- 2022-01-26 13:56:08,058:INFO:Declaring metric variables
- 2022-01-26 13:56:08,063:INFO:Importing untrained model
- 2022-01-26 13:56:08,068:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-26 13:56:08,078:INFO:Starting cross validation
- 2022-01-26 13:56:08,079:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 13:56:08,880:INFO:Calculating mean and std
- 2022-01-26 13:56:08,881:INFO:Creating metrics dataframe
- 2022-01-26 13:56:08,889:INFO:Finalizing model
- 2022-01-26 13:59:37,418:INFO:PyCaret Supervised Module
- 2022-01-26 13:59:37,419:INFO:ML Usecase: classification
- 2022-01-26 13:59:37,419:INFO:version 2.3.6
- 2022-01-26 13:59:37,419:INFO:Initializing setup()
- 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)
- 2022-01-26 13:59:37,420:INFO:Checking environment
- 2022-01-26 13:59:37,420:INFO:python_version: 3.8.8
- 2022-01-26 13:59:37,420:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-26 13:59:37,420:INFO:machine: x86_64
- 2022-01-26 13:59:37,420:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-26 13:59:37,421:INFO:Physical Core: 16
- 2022-01-26 13:59:37,421:INFO:Logical Core: 32
- 2022-01-26 13:59:37,422:INFO:Checking libraries
- 2022-01-26 13:59:37,422:INFO:pd==1.2.4
- 2022-01-26 13:59:37,422:INFO:numpy==1.19.5
- 2022-01-26 13:59:37,422:INFO:sklearn==0.23.2
- 2022-01-26 13:59:37,422:INFO:lightgbm==3.3.2
- 2022-01-26 13:59:37,423:WARNING:catboost not found
- 2022-01-26 13:59:37,431:INFO:xgboost==1.5.2
- 2022-01-26 13:59:37,555:INFO:mlflow==1.22.0
- 2022-01-26 13:59:37,556:INFO:Checking Exceptions
- 2022-01-26 13:59:37,556:INFO:Declaring global variables
- 2022-01-26 13:59:37,556:INFO:USI: 5282
- 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'}
- 2022-01-26 13:59:37,557:INFO:Preparing display monitor
- 2022-01-26 13:59:37,557:INFO:Preparing display monitor
- 2022-01-26 13:59:37,567:INFO:Importing libraries
- 2022-01-26 13:59:37,567:INFO:Copying data for preprocessing
- 2022-01-26 13:59:37,573:INFO:Declaring preprocessing parameters
- 2022-01-26 13:59:37,574:WARNING:cuML not found
- 2022-01-26 13:59:37,574:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-26 13:59:37,578:INFO:Creating preprocessing pipeline
- 2022-01-26 13:59:37,625:INFO:Preprocessing pipeline created successfully
- 2022-01-26 13:59:37,625:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-26 13:59:37,626:INFO:Creating global containers
- 2022-01-26 13:59:37,627:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-26 13:59:39,625:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:59:39,653:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:59:39,655:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:59:39,656:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:59:39,671:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:59:39,674:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:59:39,683:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:59:39,684:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-26 13:59:39,715:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-26 13:59:39,716:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-26 13:59:39,717:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-26 13:59:39,730:WARNING:Couldn't import cuml.linear_model
- 2022-01-26 13:59:39,734:WARNING:Couldn't import cuml.ensemble
- 2022-01-26 13:59:39,740:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-26 13:59:39,741:INFO:Creating grid variables
- 2022-01-26 13:59:39,752:INFO:create_model_container: 0
- 2022-01-26 13:59:39,752:INFO:master_model_container: 0
- 2022-01-26 13:59:39,753:INFO:display_container: 1
- 2022-01-26 13:59:39,756:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-26 13:59:39,756:INFO:setup() succesfully completed......................................
- 2022-01-26 13:59:44,429:INFO:Initializing create_model()
- 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={})
- 2022-01-26 13:59:44,430:INFO:Checking exceptions
- 2022-01-26 13:59:44,430:INFO:Preparing display monitor
- 2022-01-26 13:59:44,443:INFO:Importing libraries
- 2022-01-26 13:59:44,443:INFO:Copying training dataset
- 2022-01-26 13:59:44,444:INFO:Defining folds
- 2022-01-26 13:59:44,444:INFO:Declaring metric variables
- 2022-01-26 13:59:44,449:INFO:Importing untrained model
- 2022-01-26 13:59:44,455:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-26 13:59:44,466:INFO:Starting cross validation
- 2022-01-26 13:59:44,467:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-26 13:59:45,233:INFO:Calculating mean and std
- 2022-01-26 13:59:45,234:INFO:Creating metrics dataframe
- 2022-01-26 13:59:45,243:INFO:Finalizing model
- 2022-01-27 14:24:49,942:INFO:PyCaret Supervised Module
- 2022-01-27 14:24:49,943:INFO:ML Usecase: classification
- 2022-01-27 14:24:49,943:INFO:version 2.3.6
- 2022-01-27 14:24:49,943:INFO:Initializing setup()
- 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)
- 2022-01-27 14:24:49,943:INFO:Checking environment
- 2022-01-27 14:24:49,944:INFO:python_version: 3.8.8
- 2022-01-27 14:24:49,944:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-27 14:24:49,944:INFO:machine: x86_64
- 2022-01-27 14:24:49,944:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-27 14:24:49,945:INFO:Physical Core: 16
- 2022-01-27 14:24:49,946:INFO:Logical Core: 32
- 2022-01-27 14:24:49,946:INFO:Checking libraries
- 2022-01-27 14:24:49,946:INFO:pd==1.2.4
- 2022-01-27 14:24:49,946:INFO:numpy==1.19.5
- 2022-01-27 14:24:49,946:INFO:sklearn==0.23.2
- 2022-01-27 14:24:49,947:INFO:lightgbm==3.3.2
- 2022-01-27 14:24:49,947:WARNING:catboost not found
- 2022-01-27 14:24:49,963:INFO:xgboost==1.5.2
- 2022-01-27 14:24:50,101:INFO:mlflow==1.22.0
- 2022-01-27 14:24:50,102:INFO:Checking Exceptions
- 2022-01-27 14:24:50,102:INFO:Declaring global variables
- 2022-01-27 14:24:50,102:INFO:USI: 2cd4
- 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'}
- 2022-01-27 14:24:50,103:INFO:Preparing display monitor
- 2022-01-27 14:24:50,103:INFO:Preparing display monitor
- 2022-01-27 14:24:50,115:INFO:Importing libraries
- 2022-01-27 14:24:50,115:INFO:Copying data for preprocessing
- 2022-01-27 14:24:50,124:INFO:Declaring preprocessing parameters
- 2022-01-27 14:24:50,124:WARNING:cuML not found
- 2022-01-27 14:24:50,125:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-27 14:24:50,131:INFO:Creating preprocessing pipeline
- 2022-01-27 14:24:50,183:INFO:Preprocessing pipeline created successfully
- 2022-01-27 14:24:50,183:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-27 14:24:50,183:INFO:Creating global containers
- 2022-01-27 14:24:50,184:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-27 14:24:52,473:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 14:24:52,503:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 14:24:52,504:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 14:24:52,505:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 14:24:52,521:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 14:24:52,524:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 14:24:52,534:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 14:24:52,535:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 14:24:52,563:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 14:24:52,564:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 14:24:52,565:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 14:24:52,579:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 14:24:52,583:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 14:24:52,591:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 14:24:52,592:INFO:Creating grid variables
- 2022-01-27 14:24:52,604:INFO:create_model_container: 0
- 2022-01-27 14:24:52,604:INFO:master_model_container: 0
- 2022-01-27 14:24:52,604:INFO:display_container: 1
- 2022-01-27 14:24:52,607:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-27 14:24:52,607:INFO:setup() succesfully completed......................................
- 2022-01-27 14:25:10,781:INFO:Initializing create_model()
- 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={})
- 2022-01-27 14:25:10,781:INFO:Checking exceptions
- 2022-01-27 14:25:10,781:INFO:Preparing display monitor
- 2022-01-27 14:25:10,793:INFO:Importing libraries
- 2022-01-27 14:25:10,793:INFO:Copying training dataset
- 2022-01-27 14:25:10,795:INFO:Defining folds
- 2022-01-27 14:25:10,795:INFO:Declaring metric variables
- 2022-01-27 14:25:10,800:INFO:Importing untrained model
- 2022-01-27 14:25:10,805:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 14:25:10,818:INFO:Starting cross validation
- 2022-01-27 14:25:10,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-27 14:25:11,981:INFO:Calculating mean and std
- 2022-01-27 14:25:11,982:INFO:Creating metrics dataframe
- 2022-01-27 14:25:11,991:INFO:Finalizing model
- 2022-01-27 14:36:04,746:INFO:PyCaret Supervised Module
- 2022-01-27 14:36:04,747:INFO:ML Usecase: classification
- 2022-01-27 14:36:04,747:INFO:version 2.3.6
- 2022-01-27 14:36:04,747:INFO:Initializing setup()
- 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)
- 2022-01-27 14:36:04,747:INFO:Checking environment
- 2022-01-27 14:36:04,748:INFO:python_version: 3.8.8
- 2022-01-27 14:36:04,748:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-27 14:36:04,748:INFO:machine: x86_64
- 2022-01-27 14:36:04,748:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-27 14:36:04,749:INFO:Physical Core: 16
- 2022-01-27 14:36:04,749:INFO:Logical Core: 32
- 2022-01-27 14:36:04,750:INFO:Checking libraries
- 2022-01-27 14:36:04,750:INFO:pd==1.2.4
- 2022-01-27 14:36:04,750:INFO:numpy==1.19.5
- 2022-01-27 14:36:04,750:INFO:sklearn==0.23.2
- 2022-01-27 14:36:04,750:INFO:lightgbm==3.3.2
- 2022-01-27 14:36:04,751:WARNING:catboost not found
- 2022-01-27 14:36:04,810:INFO:xgboost==1.5.2
- 2022-01-27 14:36:05,045:INFO:mlflow==1.22.0
- 2022-01-27 14:36:05,046:INFO:Checking Exceptions
- 2022-01-27 14:36:05,047:INFO:Declaring global variables
- 2022-01-27 14:36:05,047:INFO:USI: d7ed
- 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'}
- 2022-01-27 14:36:05,048:INFO:Preparing display monitor
- 2022-01-27 14:36:05,048:INFO:Preparing display monitor
- 2022-01-27 14:36:05,062:INFO:Importing libraries
- 2022-01-27 14:36:05,062:INFO:Copying data for preprocessing
- 2022-01-27 14:36:05,068:INFO:Declaring preprocessing parameters
- 2022-01-27 14:36:05,068:WARNING:cuML not found
- 2022-01-27 14:36:05,069:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-27 14:36:05,074:INFO:Creating preprocessing pipeline
- 2022-01-27 14:36:05,120:INFO:Preprocessing pipeline created successfully
- 2022-01-27 14:36:05,121:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-27 14:36:05,121:INFO:Creating global containers
- 2022-01-27 14:36:05,122:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-27 14:36:06,433:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 14:36:06,461:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 14:36:06,463:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 14:36:06,464:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 14:36:06,482:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 14:36:06,485:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 14:36:06,518:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 14:36:06,519:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 14:36:06,548:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 14:36:06,549:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 14:36:06,550:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 14:36:06,563:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 14:36:06,566:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 14:36:06,574:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 14:36:06,575:INFO:Creating grid variables
- 2022-01-27 14:36:06,586:INFO:create_model_container: 0
- 2022-01-27 14:36:06,587:INFO:master_model_container: 0
- 2022-01-27 14:36:06,587:INFO:display_container: 1
- 2022-01-27 14:36:06,590:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-27 14:36:06,590:INFO:setup() succesfully completed......................................
- 2022-01-27 14:36:12,465:INFO:Initializing create_model()
- 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={})
- 2022-01-27 14:36:12,466:INFO:Checking exceptions
- 2022-01-27 14:36:12,466:INFO:Preparing display monitor
- 2022-01-27 14:36:12,478:INFO:Importing libraries
- 2022-01-27 14:36:12,478:INFO:Copying training dataset
- 2022-01-27 14:36:12,479:INFO:Defining folds
- 2022-01-27 14:36:12,479:INFO:Declaring metric variables
- 2022-01-27 14:36:12,484:INFO:Importing untrained model
- 2022-01-27 14:36:12,489:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 14:36:12,500:INFO:Starting cross validation
- 2022-01-27 14:36:12,501:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-27 14:36:14,284:INFO:Calculating mean and std
- 2022-01-27 14:36:14,285:INFO:Creating metrics dataframe
- 2022-01-27 14:36:14,294:INFO:Finalizing model
- 2022-01-27 15:30:49,472:INFO:PyCaret Supervised Module
- 2022-01-27 15:30:49,472:INFO:ML Usecase: classification
- 2022-01-27 15:30:49,473:INFO:version 2.3.6
- 2022-01-27 15:30:49,473:INFO:Initializing setup()
- 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)
- 2022-01-27 15:30:49,473:INFO:Checking environment
- 2022-01-27 15:30:49,473:INFO:python_version: 3.8.8
- 2022-01-27 15:30:49,474:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-27 15:30:49,474:INFO:machine: x86_64
- 2022-01-27 15:30:49,474:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-27 15:30:49,475:INFO:Physical Core: 16
- 2022-01-27 15:30:49,475:INFO:Logical Core: 32
- 2022-01-27 15:30:49,475:INFO:Checking libraries
- 2022-01-27 15:30:49,475:INFO:pd==1.2.4
- 2022-01-27 15:30:49,476:INFO:numpy==1.19.5
- 2022-01-27 15:30:49,476:INFO:sklearn==0.23.2
- 2022-01-27 15:30:49,476:INFO:lightgbm==3.3.2
- 2022-01-27 15:30:49,477:WARNING:catboost not found
- 2022-01-27 15:30:49,486:INFO:xgboost==1.5.2
- 2022-01-27 15:30:49,609:INFO:mlflow==1.22.0
- 2022-01-27 15:30:49,610:INFO:Checking Exceptions
- 2022-01-27 15:30:49,610:INFO:Declaring global variables
- 2022-01-27 15:30:49,610:INFO:USI: 915f
- 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'}
- 2022-01-27 15:30:49,610:INFO:Preparing display monitor
- 2022-01-27 15:30:49,611:INFO:Preparing display monitor
- 2022-01-27 15:30:49,620:INFO:Importing libraries
- 2022-01-27 15:30:49,620:INFO:Copying data for preprocessing
- 2022-01-27 15:30:49,626:INFO:Declaring preprocessing parameters
- 2022-01-27 15:30:49,629:INFO:Creating preprocessing pipeline
- 2022-01-27 15:30:49,677:INFO:Preprocessing pipeline created successfully
- 2022-01-27 15:30:49,677:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-27 15:30:49,677:INFO:Creating global containers
- 2022-01-27 15:30:49,678:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-27 15:31:02,084:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 15:31:02,130:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 15:31:02,130:INFO:Creating grid variables
- 2022-01-27 15:31:02,140:INFO:create_model_container: 0
- 2022-01-27 15:31:02,140:INFO:master_model_container: 0
- 2022-01-27 15:31:02,140:INFO:display_container: 1
- 2022-01-27 15:31:02,143:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-27 15:31:02,143:INFO:setup() succesfully completed......................................
- 2022-01-27 15:31:02,291:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:31:02,292:INFO:Checking exceptions
- 2022-01-27 15:31:02,292:INFO:Preparing display monitor
- 2022-01-27 15:31:02,304:INFO:Importing libraries
- 2022-01-27 15:31:02,304:INFO:Copying training dataset
- 2022-01-27 15:31:02,305:INFO:Defining folds
- 2022-01-27 15:31:02,305:INFO:Declaring metric variables
- 2022-01-27 15:31:02,310:INFO:Importing untrained model
- 2022-01-27 15:31:02,316:INFO:Random Forest Classifier Imported succesfully
- 2022-01-27 15:31:02,327:INFO:Starting cross validation
- 2022-01-27 15:31:02,328:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:31:05,582:INFO:Calculating mean and std
- 2022-01-27 15:31:05,583:INFO:Creating metrics dataframe
- 2022-01-27 15:31:05,591:INFO:Finalizing model
- 2022-01-27 15:31:05,956:INFO:Uploading results into container
- 2022-01-27 15:31:05,957:INFO:Uploading model into container now
- 2022-01-27 15:31:05,968:INFO:create_model_container: 1
- 2022-01-27 15:31:05,968:INFO:master_model_container: 1
- 2022-01-27 15:31:05,968:INFO:display_container: 2
- 2022-01-27 15:31:05,968:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:31:05,969:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:28,474:INFO:Initializing compare_models()
- 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)
- 2022-01-27 15:35:28,475:INFO:Checking exceptions
- 2022-01-27 15:35:28,476:INFO:Preparing display monitor
- 2022-01-27 15:35:28,476:INFO:Preparing display monitor
- 2022-01-27 15:35:28,492:INFO:Initializing Logistic Regression
- 2022-01-27 15:35:28,493:INFO:Total runtime is 5.0067901611328125e-06 minutes
- 2022-01-27 15:35:28,498:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:28,498:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:28,499:INFO:Checking exceptions
- 2022-01-27 15:35:28,499:INFO:Importing libraries
- 2022-01-27 15:35:28,499:INFO:Copying training dataset
- 2022-01-27 15:35:28,501:INFO:Defining folds
- 2022-01-27 15:35:28,501:INFO:Declaring metric variables
- 2022-01-27 15:35:28,507:INFO:Importing untrained model
- 2022-01-27 15:35:28,512:INFO:Logistic Regression Imported succesfully
- 2022-01-27 15:35:28,522:INFO:Starting cross validation
- 2022-01-27 15:35:28,523:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:29,907:INFO:Calculating mean and std
- 2022-01-27 15:35:29,908:INFO:Creating metrics dataframe
- 2022-01-27 15:35:29,911:INFO:Uploading results into container
- 2022-01-27 15:35:29,911:INFO:Uploading model into container now
- 2022-01-27 15:35:29,911:INFO:create_model_container: 2
- 2022-01-27 15:35:29,912:INFO:master_model_container: 2
- 2022-01-27 15:35:29,912:INFO:display_container: 3
- 2022-01-27 15:35:29,912:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=8782, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-01-27 15:35:29,912:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:29,989:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:29,990:INFO:Creating metrics dataframe
- 2022-01-27 15:35:30,000:INFO:Initializing K Neighbors Classifier
- 2022-01-27 15:35:30,000:INFO:Total runtime is 0.025128372510274253 minutes
- 2022-01-27 15:35:30,006:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:30,006:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:30,006:INFO:Checking exceptions
- 2022-01-27 15:35:30,007:INFO:Importing libraries
- 2022-01-27 15:35:30,007:INFO:Copying training dataset
- 2022-01-27 15:35:30,008:INFO:Defining folds
- 2022-01-27 15:35:30,008:INFO:Declaring metric variables
- 2022-01-27 15:35:30,013:INFO:Importing untrained model
- 2022-01-27 15:35:30,018:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-27 15:35:30,027:INFO:Starting cross validation
- 2022-01-27 15:35:30,028:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:36,622:INFO:Calculating mean and std
- 2022-01-27 15:35:36,623:INFO:Creating metrics dataframe
- 2022-01-27 15:35:36,626:INFO:Uploading results into container
- 2022-01-27 15:35:36,626:INFO:Uploading model into container now
- 2022-01-27 15:35:36,626:INFO:create_model_container: 3
- 2022-01-27 15:35:36,626:INFO:master_model_container: 3
- 2022-01-27 15:35:36,626:INFO:display_container: 3
- 2022-01-27 15:35:36,627:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-27 15:35:36,627:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:36,697:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:36,697:INFO:Creating metrics dataframe
- 2022-01-27 15:35:36,707:INFO:Initializing Naive Bayes
- 2022-01-27 15:35:36,707:INFO:Total runtime is 0.13691695928573608 minutes
- 2022-01-27 15:35:36,713:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:36,713:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:36,714:INFO:Checking exceptions
- 2022-01-27 15:35:36,714:INFO:Importing libraries
- 2022-01-27 15:35:36,714:INFO:Copying training dataset
- 2022-01-27 15:35:36,715:INFO:Defining folds
- 2022-01-27 15:35:36,715:INFO:Declaring metric variables
- 2022-01-27 15:35:36,720:INFO:Importing untrained model
- 2022-01-27 15:35:36,725:INFO:Naive Bayes Imported succesfully
- 2022-01-27 15:35:36,736:INFO:Starting cross validation
- 2022-01-27 15:35:36,736:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:37,538:INFO:Calculating mean and std
- 2022-01-27 15:35:37,539:INFO:Creating metrics dataframe
- 2022-01-27 15:35:37,541:INFO:Uploading results into container
- 2022-01-27 15:35:37,542:INFO:Uploading model into container now
- 2022-01-27 15:35:37,542:INFO:create_model_container: 4
- 2022-01-27 15:35:37,542:INFO:master_model_container: 4
- 2022-01-27 15:35:37,542:INFO:display_container: 3
- 2022-01-27 15:35:37,542:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-01-27 15:35:37,542:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:37,612:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:37,613:INFO:Creating metrics dataframe
- 2022-01-27 15:35:37,623:INFO:Initializing Decision Tree Classifier
- 2022-01-27 15:35:37,623:INFO:Total runtime is 0.15218078692754108 minutes
- 2022-01-27 15:35:37,629:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:37,629:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:37,629:INFO:Checking exceptions
- 2022-01-27 15:35:37,630:INFO:Importing libraries
- 2022-01-27 15:35:37,630:INFO:Copying training dataset
- 2022-01-27 15:35:37,631:INFO:Defining folds
- 2022-01-27 15:35:37,631:INFO:Declaring metric variables
- 2022-01-27 15:35:37,636:INFO:Importing untrained model
- 2022-01-27 15:35:37,641:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-27 15:35:37,652:INFO:Starting cross validation
- 2022-01-27 15:35:37,652:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:37,909:INFO:Calculating mean and std
- 2022-01-27 15:35:37,910:INFO:Creating metrics dataframe
- 2022-01-27 15:35:37,913:INFO:Uploading results into container
- 2022-01-27 15:35:37,913:INFO:Uploading model into container now
- 2022-01-27 15:35:37,913:INFO:create_model_container: 5
- 2022-01-27 15:35:37,913:INFO:master_model_container: 5
- 2022-01-27 15:35:37,913:INFO:display_container: 3
- 2022-01-27 15:35:37,914:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=8782, splitter='best')
- 2022-01-27 15:35:37,914:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:37,983:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:37,984:INFO:Creating metrics dataframe
- 2022-01-27 15:35:37,994:INFO:Initializing SVM - Linear Kernel
- 2022-01-27 15:35:37,995:INFO:Total runtime is 0.15836788018544515 minutes
- 2022-01-27 15:35:38,000:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:38,000:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:38,000:INFO:Checking exceptions
- 2022-01-27 15:35:38,001:INFO:Importing libraries
- 2022-01-27 15:35:38,001:INFO:Copying training dataset
- 2022-01-27 15:35:38,002:INFO:Defining folds
- 2022-01-27 15:35:38,002:INFO:Declaring metric variables
- 2022-01-27 15:35:38,006:INFO:Importing untrained model
- 2022-01-27 15:35:38,011:INFO:SVM - Linear Kernel Imported succesfully
- 2022-01-27 15:35:38,021:INFO:Starting cross validation
- 2022-01-27 15:35:38,022:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:38,345:INFO:Calculating mean and std
- 2022-01-27 15:35:38,346:INFO:Creating metrics dataframe
- 2022-01-27 15:35:38,348:INFO:Uploading results into container
- 2022-01-27 15:35:38,348:INFO:Uploading model into container now
- 2022-01-27 15:35:38,349:INFO:create_model_container: 6
- 2022-01-27 15:35:38,349:INFO:master_model_container: 6
- 2022-01-27 15:35:38,349:INFO:display_container: 3
- 2022-01-27 15:35:38,349:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=8782, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-01-27 15:35:38,349:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:38,420:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:38,420:INFO:Creating metrics dataframe
- 2022-01-27 15:35:38,432:INFO:Initializing Ridge Classifier
- 2022-01-27 15:35:38,432:INFO:Total runtime is 0.16565462350845336 minutes
- 2022-01-27 15:35:38,437:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:38,437:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:38,438:INFO:Checking exceptions
- 2022-01-27 15:35:38,438:INFO:Importing libraries
- 2022-01-27 15:35:38,438:INFO:Copying training dataset
- 2022-01-27 15:35:38,439:INFO:Defining folds
- 2022-01-27 15:35:38,439:INFO:Declaring metric variables
- 2022-01-27 15:35:38,444:INFO:Importing untrained model
- 2022-01-27 15:35:38,449:INFO:Ridge Classifier Imported succesfully
- 2022-01-27 15:35:38,458:INFO:Starting cross validation
- 2022-01-27 15:35:38,458:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:38,614:INFO:Calculating mean and std
- 2022-01-27 15:35:38,615:INFO:Creating metrics dataframe
- 2022-01-27 15:35:38,617:INFO:Uploading results into container
- 2022-01-27 15:35:38,618:INFO:Uploading model into container now
- 2022-01-27 15:35:38,618:INFO:create_model_container: 7
- 2022-01-27 15:35:38,618:INFO:master_model_container: 7
- 2022-01-27 15:35:38,618:INFO:display_container: 3
- 2022-01-27 15:35:38,618:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=8782,
- solver='auto', tol=0.001)
- 2022-01-27 15:35:38,619:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:38,689:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:38,689:INFO:Creating metrics dataframe
- 2022-01-27 15:35:38,700:INFO:Initializing Random Forest Classifier
- 2022-01-27 15:35:38,700:INFO:Total runtime is 0.17012946605682372 minutes
- 2022-01-27 15:35:38,705:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:38,706:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:38,706:INFO:Checking exceptions
- 2022-01-27 15:35:38,706:INFO:Importing libraries
- 2022-01-27 15:35:38,706:INFO:Copying training dataset
- 2022-01-27 15:35:38,707:INFO:Defining folds
- 2022-01-27 15:35:38,707:INFO:Declaring metric variables
- 2022-01-27 15:35:38,712:INFO:Importing untrained model
- 2022-01-27 15:35:38,717:INFO:Random Forest Classifier Imported succesfully
- 2022-01-27 15:35:38,726:INFO:Starting cross validation
- 2022-01-27 15:35:38,727:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:40,748:INFO:Calculating mean and std
- 2022-01-27 15:35:40,749:INFO:Creating metrics dataframe
- 2022-01-27 15:35:40,751:INFO:Uploading results into container
- 2022-01-27 15:35:40,751:INFO:Uploading model into container now
- 2022-01-27 15:35:40,751:INFO:create_model_container: 8
- 2022-01-27 15:35:40,752:INFO:master_model_container: 8
- 2022-01-27 15:35:40,752:INFO:display_container: 3
- 2022-01-27 15:35:40,752:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:35:40,752:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:40,817:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:40,818:INFO:Creating metrics dataframe
- 2022-01-27 15:35:40,829:INFO:Initializing Quadratic Discriminant Analysis
- 2022-01-27 15:35:40,829:INFO:Total runtime is 0.20561089118321735 minutes
- 2022-01-27 15:35:40,834:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:40,835:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:40,835:INFO:Checking exceptions
- 2022-01-27 15:35:40,835:INFO:Importing libraries
- 2022-01-27 15:35:40,835:INFO:Copying training dataset
- 2022-01-27 15:35:40,836:INFO:Defining folds
- 2022-01-27 15:35:40,836:INFO:Declaring metric variables
- 2022-01-27 15:35:40,841:INFO:Importing untrained model
- 2022-01-27 15:35:40,846:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-01-27 15:35:40,856:INFO:Starting cross validation
- 2022-01-27 15:35:40,856:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:41,064:INFO:Calculating mean and std
- 2022-01-27 15:35:41,065:INFO:Creating metrics dataframe
- 2022-01-27 15:35:41,068:INFO:Uploading results into container
- 2022-01-27 15:35:41,068:INFO:Uploading model into container now
- 2022-01-27 15:35:41,068:INFO:create_model_container: 9
- 2022-01-27 15:35:41,068:INFO:master_model_container: 9
- 2022-01-27 15:35:41,068:INFO:display_container: 3
- 2022-01-27 15:35:41,069:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-01-27 15:35:41,069:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:41,136:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:41,136:INFO:Creating metrics dataframe
- 2022-01-27 15:35:41,147:INFO:Initializing Ada Boost Classifier
- 2022-01-27 15:35:41,148:INFO:Total runtime is 0.21091970205307006 minutes
- 2022-01-27 15:35:41,153:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:41,153:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:41,153:INFO:Checking exceptions
- 2022-01-27 15:35:41,154:INFO:Importing libraries
- 2022-01-27 15:35:41,154:INFO:Copying training dataset
- 2022-01-27 15:35:41,155:INFO:Defining folds
- 2022-01-27 15:35:41,155:INFO:Declaring metric variables
- 2022-01-27 15:35:41,159:INFO:Importing untrained model
- 2022-01-27 15:35:41,164:INFO:Ada Boost Classifier Imported succesfully
- 2022-01-27 15:35:41,174:INFO:Starting cross validation
- 2022-01-27 15:35:41,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:42,235:INFO:Calculating mean and std
- 2022-01-27 15:35:42,236:INFO:Creating metrics dataframe
- 2022-01-27 15:35:42,238:INFO:Uploading results into container
- 2022-01-27 15:35:42,239:INFO:Uploading model into container now
- 2022-01-27 15:35:42,239:INFO:create_model_container: 10
- 2022-01-27 15:35:42,239:INFO:master_model_container: 10
- 2022-01-27 15:35:42,239:INFO:display_container: 3
- 2022-01-27 15:35:42,239:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=8782)
- 2022-01-27 15:35:42,240:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:42,305:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:42,305:INFO:Creating metrics dataframe
- 2022-01-27 15:35:42,317:INFO:Initializing Gradient Boosting Classifier
- 2022-01-27 15:35:42,317:INFO:Total runtime is 0.23041016658147176 minutes
- 2022-01-27 15:35:42,322:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:42,323:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:42,323:INFO:Checking exceptions
- 2022-01-27 15:35:42,323:INFO:Importing libraries
- 2022-01-27 15:35:42,323:INFO:Copying training dataset
- 2022-01-27 15:35:42,324:INFO:Defining folds
- 2022-01-27 15:35:42,324:INFO:Declaring metric variables
- 2022-01-27 15:35:42,329:INFO:Importing untrained model
- 2022-01-27 15:35:42,334:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-01-27 15:35:42,343:INFO:Starting cross validation
- 2022-01-27 15:35:42,344:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:45,760:INFO:Calculating mean and std
- 2022-01-27 15:35:45,761:INFO:Creating metrics dataframe
- 2022-01-27 15:35:45,764:INFO:Uploading results into container
- 2022-01-27 15:35:45,764:INFO:Uploading model into container now
- 2022-01-27 15:35:45,764:INFO:create_model_container: 11
- 2022-01-27 15:35:45,764:INFO:master_model_container: 11
- 2022-01-27 15:35:45,765:INFO:display_container: 3
- 2022-01-27 15:35:45,765:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=8782, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-01-27 15:35:45,765:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:45,832:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:45,832:INFO:Creating metrics dataframe
- 2022-01-27 15:35:45,844:INFO:Initializing Linear Discriminant Analysis
- 2022-01-27 15:35:45,844:INFO:Total runtime is 0.2891955057779948 minutes
- 2022-01-27 15:35:45,849:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:45,850:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:45,850:INFO:Checking exceptions
- 2022-01-27 15:35:45,850:INFO:Importing libraries
- 2022-01-27 15:35:45,850:INFO:Copying training dataset
- 2022-01-27 15:35:45,851:INFO:Defining folds
- 2022-01-27 15:35:45,851:INFO:Declaring metric variables
- 2022-01-27 15:35:45,856:INFO:Importing untrained model
- 2022-01-27 15:35:45,860:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-01-27 15:35:45,871:INFO:Starting cross validation
- 2022-01-27 15:35:45,871:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:46,122:INFO:Calculating mean and std
- 2022-01-27 15:35:46,123:INFO:Creating metrics dataframe
- 2022-01-27 15:35:46,126:INFO:Uploading results into container
- 2022-01-27 15:35:46,126:INFO:Uploading model into container now
- 2022-01-27 15:35:46,126:INFO:create_model_container: 12
- 2022-01-27 15:35:46,126:INFO:master_model_container: 12
- 2022-01-27 15:35:46,126:INFO:display_container: 3
- 2022-01-27 15:35:46,127:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-01-27 15:35:46,127:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:46,196:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:46,197:INFO:Creating metrics dataframe
- 2022-01-27 15:35:46,209:INFO:Initializing Extra Trees Classifier
- 2022-01-27 15:35:46,210:INFO:Total runtime is 0.2952850619951884 minutes
- 2022-01-27 15:35:46,215:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:46,215:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:46,216:INFO:Checking exceptions
- 2022-01-27 15:35:46,216:INFO:Importing libraries
- 2022-01-27 15:35:46,216:INFO:Copying training dataset
- 2022-01-27 15:35:46,217:INFO:Defining folds
- 2022-01-27 15:35:46,217:INFO:Declaring metric variables
- 2022-01-27 15:35:46,222:INFO:Importing untrained model
- 2022-01-27 15:35:46,227:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-27 15:35:46,238:INFO:Starting cross validation
- 2022-01-27 15:35:46,239:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:35:48,104:INFO:Calculating mean and std
- 2022-01-27 15:35:48,105:INFO:Creating metrics dataframe
- 2022-01-27 15:35:48,108:INFO:Uploading results into container
- 2022-01-27 15:35:48,109:INFO:Uploading model into container now
- 2022-01-27 15:35:48,109:INFO:create_model_container: 13
- 2022-01-27 15:35:48,109:INFO:master_model_container: 13
- 2022-01-27 15:35:48,109:INFO:display_container: 3
- 2022-01-27 15:35:48,110:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:35:48,110:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:35:48,192:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:35:48,192:INFO:Creating metrics dataframe
- 2022-01-27 15:35:48,208:INFO:Initializing Extreme Gradient Boosting
- 2022-01-27 15:35:48,209:INFO:Total runtime is 0.32860164642333983 minutes
- 2022-01-27 15:35:48,215:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:35:48,216:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:35:48,216:INFO:Checking exceptions
- 2022-01-27 15:35:48,216:INFO:Importing libraries
- 2022-01-27 15:35:48,216:INFO:Copying training dataset
- 2022-01-27 15:35:48,217:INFO:Defining folds
- 2022-01-27 15:35:48,218:INFO:Declaring metric variables
- 2022-01-27 15:35:48,223:INFO:Importing untrained model
- 2022-01-27 15:35:48,229:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 15:35:48,241:INFO:Starting cross validation
- 2022-01-27 15:35:48,242:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:44:33,915:INFO:Calculating mean and std
- 2022-01-27 15:44:33,917:INFO:Creating metrics dataframe
- 2022-01-27 15:44:33,923:INFO:Uploading results into container
- 2022-01-27 15:44:33,923:INFO:Uploading model into container now
- 2022-01-27 15:44:33,924:INFO:create_model_container: 14
- 2022-01-27 15:44:33,924:INFO:master_model_container: 14
- 2022-01-27 15:44:33,925:INFO:display_container: 3
- 2022-01-27 15:44:33,926:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
- colsample_bynode=None, colsample_bytree=None,
- enable_categorical=False, gamma=None, gpu_id=None,
- importance_type=None, interaction_constraints=None,
- learning_rate=None, max_delta_step=None, max_depth=None,
- min_child_weight=None, missing=nan, monotone_constraints=None,
- n_estimators=100, n_jobs=-1, num_parallel_tree=None,
- objective='binary:logistic', predictor=None, random_state=8782,
- reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
- subsample=None, tree_method='auto', use_label_encoder=True,
- validate_parameters=None, verbosity=0)
- 2022-01-27 15:44:33,926:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:44:34,032:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:44:34,032:INFO:Creating metrics dataframe
- 2022-01-27 15:44:34,045:INFO:Initializing Light Gradient Boosting Machine
- 2022-01-27 15:44:34,045:INFO:Total runtime is 9.092548799514772 minutes
- 2022-01-27 15:44:34,051:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:44:34,051:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:44:34,052:INFO:Checking exceptions
- 2022-01-27 15:44:34,052:INFO:Importing libraries
- 2022-01-27 15:44:34,052:INFO:Copying training dataset
- 2022-01-27 15:44:34,053:INFO:Defining folds
- 2022-01-27 15:44:34,053:INFO:Declaring metric variables
- 2022-01-27 15:44:34,057:INFO:Importing untrained model
- 2022-01-27 15:44:34,063:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-27 15:44:34,073:INFO:Starting cross validation
- 2022-01-27 15:44:34,074:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:44:35,101:INFO:Calculating mean and std
- 2022-01-27 15:44:35,102:INFO:Creating metrics dataframe
- 2022-01-27 15:44:35,105:INFO:Uploading results into container
- 2022-01-27 15:44:35,105:INFO:Uploading model into container now
- 2022-01-27 15:44:35,105:INFO:create_model_container: 15
- 2022-01-27 15:44:35,106:INFO:master_model_container: 15
- 2022-01-27 15:44:35,106:INFO:display_container: 3
- 2022-01-27 15:44:35,106:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-27 15:44:35,106:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:44:35,187:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:44:35,188:INFO:Creating metrics dataframe
- 2022-01-27 15:44:35,202:INFO:Initializing Dummy Classifier
- 2022-01-27 15:44:35,203:INFO:Total runtime is 9.111837255954743 minutes
- 2022-01-27 15:44:35,208:INFO:SubProcess create_model() called ==================================
- 2022-01-27 15:44:35,209:INFO:Initializing create_model()
- 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={})
- 2022-01-27 15:44:35,209:INFO:Checking exceptions
- 2022-01-27 15:44:35,209:INFO:Importing libraries
- 2022-01-27 15:44:35,209:INFO:Copying training dataset
- 2022-01-27 15:44:35,211:INFO:Defining folds
- 2022-01-27 15:44:35,212:INFO:Declaring metric variables
- 2022-01-27 15:44:35,217:INFO:Importing untrained model
- 2022-01-27 15:44:35,221:INFO:Dummy Classifier Imported succesfully
- 2022-01-27 15:44:35,232:INFO:Starting cross validation
- 2022-01-27 15:44:35,233:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-01-27 15:44:36,285:INFO:Calculating mean and std
- 2022-01-27 15:44:36,286:INFO:Creating metrics dataframe
- 2022-01-27 15:44:36,289:INFO:Uploading results into container
- 2022-01-27 15:44:36,289:INFO:Uploading model into container now
- 2022-01-27 15:44:36,290:INFO:create_model_container: 16
- 2022-01-27 15:44:36,290:INFO:master_model_container: 16
- 2022-01-27 15:44:36,290:INFO:display_container: 3
- 2022-01-27 15:44:36,290:INFO:DummyClassifier(constant=None, random_state=8782, strategy='prior')
- 2022-01-27 15:44:36,290:INFO:create_model() succesfully completed......................................
- 2022-01-27 15:44:36,365:INFO:SubProcess create_model() end ==================================
- 2022-01-27 15:44:36,366:INFO:Creating metrics dataframe
- 2022-01-27 15:44:36,392:INFO:Initializing create_model()
- 2022-01-27 15:44:36,392:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=8782, verbose=0,
- 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={})
- 2022-01-27 15:44:36,392:INFO:Checking exceptions
- 2022-01-27 15:44:36,393:INFO:Importing libraries
- 2022-01-27 15:44:36,393:INFO:Copying training dataset
- 2022-01-27 15:44:36,394:INFO:Defining folds
- 2022-01-27 15:44:36,394:INFO:Declaring metric variables
- 2022-01-27 15:44:36,394:INFO:Importing untrained model
- 2022-01-27 15:44:36,394:INFO:Declaring custom model
- 2022-01-27 15:44:36,395:INFO:Extra Trees Classifier Imported succesfully
- 2022-01-27 15:44:36,395:INFO:Cross validation set to False
- 2022-01-27 15:44:36,395:INFO:Fitting Model
- 2022-01-27 15:44:36,713:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:44:36,714:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:36,797:INFO:Initializing create_model()
- 2022-01-27 15:44:36,798:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- 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={})
- 2022-01-27 15:44:36,798:INFO:Checking exceptions
- 2022-01-27 15:44:36,798:INFO:Importing libraries
- 2022-01-27 15:44:36,798:INFO:Copying training dataset
- 2022-01-27 15:44:36,799:INFO:Defining folds
- 2022-01-27 15:44:36,799:INFO:Declaring metric variables
- 2022-01-27 15:44:36,799:INFO:Importing untrained model
- 2022-01-27 15:44:36,800:INFO:Declaring custom model
- 2022-01-27 15:44:36,800:INFO:Random Forest Classifier Imported succesfully
- 2022-01-27 15:44:36,800:INFO:Cross validation set to False
- 2022-01-27 15:44:36,801:INFO:Fitting Model
- 2022-01-27 15:44:37,199:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- warm_start=False)
- 2022-01-27 15:44:37,199:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:37,277:INFO:Initializing create_model()
- 2022-01-27 15:44:37,278:INFO:create_model(estimator=XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
- colsample_bynode=None, colsample_bytree=None,
- enable_categorical=False, gamma=None, gpu_id=None,
- importance_type=None, interaction_constraints=None,
- learning_rate=None, max_delta_step=None, max_depth=None,
- min_child_weight=None, missing=nan, monotone_constraints=None,
- n_estimators=100, n_jobs=-1, num_parallel_tree=None,
- objective='binary:logistic', predictor=None, random_state=8782,
- reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
- subsample=None, tree_method='auto', use_label_encoder=True,
- 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={})
- 2022-01-27 15:44:37,278:INFO:Checking exceptions
- 2022-01-27 15:44:37,278:INFO:Importing libraries
- 2022-01-27 15:44:37,278:INFO:Copying training dataset
- 2022-01-27 15:44:37,279:INFO:Defining folds
- 2022-01-27 15:44:37,279:INFO:Declaring metric variables
- 2022-01-27 15:44:37,279:INFO:Importing untrained model
- 2022-01-27 15:44:37,279:INFO:Declaring custom model
- 2022-01-27 15:44:37,280:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 15:44:37,281:INFO:Cross validation set to False
- 2022-01-27 15:44:37,281:INFO:Fitting Model
- 2022-01-27 15:44:37,826:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8782, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-01-27 15:44:37,826:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:37,897:INFO:Initializing create_model()
- 2022-01-27 15:44:37,897:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- 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={})
- 2022-01-27 15:44:37,897:INFO:Checking exceptions
- 2022-01-27 15:44:37,897:INFO:Importing libraries
- 2022-01-27 15:44:37,897:INFO:Copying training dataset
- 2022-01-27 15:44:37,898:INFO:Defining folds
- 2022-01-27 15:44:37,898:INFO:Declaring metric variables
- 2022-01-27 15:44:37,898:INFO:Importing untrained model
- 2022-01-27 15:44:37,898:INFO:Declaring custom model
- 2022-01-27 15:44:37,899:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-01-27 15:44:37,900:INFO:Cross validation set to False
- 2022-01-27 15:44:37,900:INFO:Fitting Model
- 2022-01-27 15:44:38,355:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0)
- 2022-01-27 15:44:38,355:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:38,428:INFO:Initializing create_model()
- 2022-01-27 15:44:38,428:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-01-27 15:44:38,428:INFO:Checking exceptions
- 2022-01-27 15:44:38,428:INFO:Importing libraries
- 2022-01-27 15:44:38,428:INFO:Copying training dataset
- 2022-01-27 15:44:38,429:INFO:Defining folds
- 2022-01-27 15:44:38,429:INFO:Declaring metric variables
- 2022-01-27 15:44:38,429:INFO:Importing untrained model
- 2022-01-27 15:44:38,430:INFO:Declaring custom model
- 2022-01-27 15:44:38,430:INFO:Decision Tree Classifier Imported succesfully
- 2022-01-27 15:44:38,430:INFO:Cross validation set to False
- 2022-01-27 15:44:38,431:INFO:Fitting Model
- 2022-01-27 15:44:38,538:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=8782, splitter='best')
- 2022-01-27 15:44:38,538:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:38,613:INFO:Initializing create_model()
- 2022-01-27 15:44:38,613:INFO:create_model(estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- 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={})
- 2022-01-27 15:44:38,613:INFO:Checking exceptions
- 2022-01-27 15:44:38,614:INFO:Importing libraries
- 2022-01-27 15:44:38,614:INFO:Copying training dataset
- 2022-01-27 15:44:38,614:INFO:Defining folds
- 2022-01-27 15:44:38,614:INFO:Declaring metric variables
- 2022-01-27 15:44:38,615:INFO:Importing untrained model
- 2022-01-27 15:44:38,615:INFO:Declaring custom model
- 2022-01-27 15:44:38,615:INFO:K Neighbors Classifier Imported succesfully
- 2022-01-27 15:44:38,615:INFO:Cross validation set to False
- 2022-01-27 15:44:38,616:INFO:Fitting Model
- 2022-01-27 15:44:39,477:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-01-27 15:44:39,478:INFO:create_models() succesfully completed......................................
- 2022-01-27 15:44:39,571:INFO:create_model_container: 16
- 2022-01-27 15:44:39,572:INFO:master_model_container: 16
- 2022-01-27 15:44:39,572:INFO:display_container: 3
- 2022-01-27 15:44:39,574:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=8782, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=8782, verbose=0,
- warm_start=False), XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8782, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- use_label_encoder=True, validate_parameters=1, verbosity=0), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- importance_type='split', learning_rate=0.1, max_depth=-1,
- min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,
- n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,
- random_state=8782, reg_alpha=0.0, reg_lambda=0.0, silent='warn',
- subsample=1.0, subsample_for_bin=200000, subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=8782, splitter='best'), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')]
- 2022-01-27 15:44:39,574:INFO:compare_models() succesfully completed......................................
- 2022-01-27 17:09:17,601:INFO:PyCaret Supervised Module
- 2022-01-27 17:09:17,601:INFO:ML Usecase: classification
- 2022-01-27 17:09:17,602:INFO:version 2.3.6
- 2022-01-27 17:09:17,602:INFO:Initializing setup()
- 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)
- 2022-01-27 17:09:17,602:INFO:Checking environment
- 2022-01-27 17:09:17,602:INFO:python_version: 3.8.8
- 2022-01-27 17:09:17,603:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-01-27 17:09:17,603:INFO:machine: x86_64
- 2022-01-27 17:09:17,603:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-01-27 17:09:17,604:INFO:Physical Core: 16
- 2022-01-27 17:09:17,604:INFO:Logical Core: 32
- 2022-01-27 17:09:17,604:INFO:Checking libraries
- 2022-01-27 17:09:17,604:INFO:pd==1.2.4
- 2022-01-27 17:09:17,605:INFO:numpy==1.19.5
- 2022-01-27 17:09:17,605:INFO:sklearn==0.23.2
- 2022-01-27 17:09:17,605:INFO:lightgbm==3.3.2
- 2022-01-27 17:09:17,605:WARNING:catboost not found
- 2022-01-27 17:09:17,614:INFO:xgboost==1.5.2
- 2022-01-27 17:09:17,739:INFO:mlflow==1.22.0
- 2022-01-27 17:09:17,740:INFO:Checking Exceptions
- 2022-01-27 17:09:17,740:INFO:Declaring global variables
- 2022-01-27 17:09:17,740:INFO:USI: b2ab
- 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'}
- 2022-01-27 17:09:17,741:INFO:Preparing display monitor
- 2022-01-27 17:09:17,741:INFO:Preparing display monitor
- 2022-01-27 17:09:17,751:INFO:Importing libraries
- 2022-01-27 17:09:17,752:INFO:Copying data for preprocessing
- 2022-01-27 17:09:17,758:INFO:Declaring preprocessing parameters
- 2022-01-27 17:09:17,759:WARNING:cuML not found
- 2022-01-27 17:09:17,759:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-01-27 17:09:17,763:INFO:Creating preprocessing pipeline
- 2022-01-27 17:09:17,809:INFO:Preprocessing pipeline created successfully
- 2022-01-27 17:09:17,809:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-01-27 17:09:17,809:INFO:Creating global containers
- 2022-01-27 17:09:17,810:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-01-27 17:09:19,896:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 17:09:19,924:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 17:09:19,925:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 17:09:19,926:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 17:09:19,943:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 17:09:19,946:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 17:09:19,957:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 17:09:19,958:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-01-27 17:09:19,988:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-01-27 17:09:19,988:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-01-27 17:09:19,989:WARNING:Couldn't import cuml.svm.SVC
- 2022-01-27 17:09:20,003:WARNING:Couldn't import cuml.linear_model
- 2022-01-27 17:09:20,006:WARNING:Couldn't import cuml.ensemble
- 2022-01-27 17:09:20,013:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-01-27 17:09:20,014:INFO:Creating grid variables
- 2022-01-27 17:09:20,025:INFO:create_model_container: 0
- 2022-01-27 17:09:20,026:INFO:master_model_container: 0
- 2022-01-27 17:09:20,026:INFO:display_container: 1
- 2022-01-27 17:09:20,029:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-01-27 17:09:20,029:INFO:setup() succesfully completed......................................
- 2022-01-27 17:09:26,719:INFO:Initializing create_model()
- 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={})
- 2022-01-27 17:09:26,720:INFO:Checking exceptions
- 2022-01-27 17:09:26,720:INFO:Preparing display monitor
- 2022-01-27 17:09:26,730:INFO:Importing libraries
- 2022-01-27 17:09:26,731:INFO:Copying training dataset
- 2022-01-27 17:09:26,732:INFO:Defining folds
- 2022-01-27 17:09:26,732:INFO:Declaring metric variables
- 2022-01-27 17:09:26,737:INFO:Importing untrained model
- 2022-01-27 17:09:26,742:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-01-27 17:09:26,752:INFO:Starting cross validation
- 2022-01-27 17:09:26,753:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-01-27 17:09:27,273:INFO:Calculating mean and std
- 2022-01-27 17:09:27,274:INFO:Creating metrics dataframe
- 2022-01-27 17:09:27,282:INFO:Finalizing model
- 2022-02-04 13:23:28,725:INFO:PyCaret Supervised Module
- 2022-02-04 13:23:28,725:INFO:ML Usecase: classification
- 2022-02-04 13:23:28,725:INFO:version 2.3.6
- 2022-02-04 13:23:28,726:INFO:Initializing setup()
- 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)
- 2022-02-04 13:23:28,726:INFO:Checking environment
- 2022-02-04 13:23:28,726:INFO:python_version: 3.8.8
- 2022-02-04 13:23:28,726:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-04 13:23:28,726:INFO:machine: x86_64
- 2022-02-04 13:23:28,727:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-04 13:23:28,729:INFO:Physical Core: 16
- 2022-02-04 13:23:28,729:INFO:Logical Core: 32
- 2022-02-04 13:23:28,729:INFO:Checking libraries
- 2022-02-04 13:23:28,729:INFO:pd==1.2.4
- 2022-02-04 13:23:28,729:INFO:numpy==1.19.5
- 2022-02-04 13:23:28,729:INFO:sklearn==0.23.2
- 2022-02-04 13:23:28,730:INFO:lightgbm==3.3.2
- 2022-02-04 13:23:28,730:WARNING:catboost not found
- 2022-02-04 13:23:28,779:INFO:xgboost==1.5.2
- 2022-02-04 13:23:28,980:INFO:mlflow==1.22.0
- 2022-02-04 13:23:28,981:INFO:Checking Exceptions
- 2022-02-04 13:23:28,981:INFO:Declaring global variables
- 2022-02-04 13:23:28,981:INFO:USI: f076
- 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'}
- 2022-02-04 13:23:28,982:INFO:Preparing display monitor
- 2022-02-04 13:23:28,982:INFO:Preparing display monitor
- 2022-02-04 13:23:28,992:INFO:Importing libraries
- 2022-02-04 13:23:28,992:INFO:Copying data for preprocessing
- 2022-02-04 13:23:29,000:INFO:Declaring preprocessing parameters
- 2022-02-04 13:23:29,001:WARNING:cuML not found
- 2022-02-04 13:23:29,001:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 13:23:29,008:INFO:Creating preprocessing pipeline
- 2022-02-04 13:23:29,115:INFO:Preprocessing pipeline created successfully
- 2022-02-04 13:23:29,115:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 13:23:29,116:INFO:Creating global containers
- 2022-02-04 13:23:29,117:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 13:23:39,201:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 13:23:39,227:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 13:23:39,229:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 13:23:39,230:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 13:23:39,247:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 13:23:39,250:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 13:23:39,275:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-04 13:23:39,276:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 13:23:39,305:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 13:23:39,306:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 13:23:39,307:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 13:23:39,320:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 13:23:39,323:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 13:23:39,330:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-04 13:23:39,331:INFO:Creating grid variables
- 2022-02-04 13:23:39,344:INFO:create_model_container: 0
- 2022-02-04 13:23:39,344:INFO:master_model_container: 0
- 2022-02-04 13:23:39,345:INFO:display_container: 1
- 2022-02-04 13:23:39,347:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 13:23:39,348:INFO:setup() succesfully completed......................................
- 2022-02-04 13:23:57,781:INFO:Initializing create_model()
- 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={})
- 2022-02-04 13:23:57,781:INFO:Checking exceptions
- 2022-02-04 13:23:57,782:INFO:Preparing display monitor
- 2022-02-04 13:23:57,793:INFO:Importing libraries
- 2022-02-04 13:23:57,793:INFO:Copying training dataset
- 2022-02-04 13:23:57,794:INFO:Defining folds
- 2022-02-04 13:23:57,795:INFO:Declaring metric variables
- 2022-02-04 13:23:57,799:INFO:Importing untrained model
- 2022-02-04 13:23:57,805:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 13:23:57,817:INFO:Starting cross validation
- 2022-02-04 13:23:57,818:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 13:23:59,549:INFO:Calculating mean and std
- 2022-02-04 13:23:59,550:INFO:Creating metrics dataframe
- 2022-02-04 13:23:59,558:INFO:Finalizing model
- 2022-02-04 13:24:13,940:INFO:PyCaret Supervised Module
- 2022-02-04 13:24:13,941:INFO:ML Usecase: classification
- 2022-02-04 13:24:13,941:INFO:version 2.3.6
- 2022-02-04 13:24:13,941:INFO:Initializing setup()
- 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)
- 2022-02-04 13:24:13,942:INFO:Checking environment
- 2022-02-04 13:24:13,942:INFO:python_version: 3.8.8
- 2022-02-04 13:24:13,942:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-04 13:24:13,942:INFO:machine: x86_64
- 2022-02-04 13:24:13,942:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-04 13:24:13,943:INFO:Physical Core: 16
- 2022-02-04 13:24:13,943:INFO:Logical Core: 32
- 2022-02-04 13:24:13,943:INFO:Checking libraries
- 2022-02-04 13:24:13,944:INFO:pd==1.2.4
- 2022-02-04 13:24:13,944:INFO:numpy==1.19.5
- 2022-02-04 13:24:13,944:INFO:sklearn==0.23.2
- 2022-02-04 13:24:13,944:INFO:lightgbm==3.3.2
- 2022-02-04 13:24:13,945:WARNING:catboost not found
- 2022-02-04 13:24:13,945:INFO:xgboost==1.5.2
- 2022-02-04 13:24:13,945:INFO:mlflow==1.22.0
- 2022-02-04 13:24:13,945:INFO:Checking Exceptions
- 2022-02-04 13:24:13,945:INFO:Declaring global variables
- 2022-02-04 13:24:13,946:INFO:USI: af72
- 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'}
- 2022-02-04 13:24:13,946:INFO:Preparing display monitor
- 2022-02-04 13:24:13,946:INFO:Preparing display monitor
- 2022-02-04 13:24:13,953:INFO:Importing libraries
- 2022-02-04 13:24:13,954:INFO:Copying data for preprocessing
- 2022-02-04 13:24:13,963:INFO:Declaring preprocessing parameters
- 2022-02-04 13:24:13,970:INFO:Creating preprocessing pipeline
- 2022-02-04 13:24:14,078:INFO:Preprocessing pipeline created successfully
- 2022-02-04 13:24:14,078:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 13:24:14,079:INFO:Creating global containers
- 2022-02-04 13:24:14,079:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 13:24:16,488:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-04 13:24:16,533:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-04 13:24:16,534:INFO:Creating grid variables
- 2022-02-04 13:24:16,544:INFO:create_model_container: 0
- 2022-02-04 13:24:16,545:INFO:master_model_container: 0
- 2022-02-04 13:24:16,545:INFO:display_container: 1
- 2022-02-04 13:24:16,547:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 13:24:16,548:INFO:setup() succesfully completed......................................
- 2022-02-04 13:24:19,470:INFO:Initializing create_model()
- 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={})
- 2022-02-04 13:24:19,470:INFO:Checking exceptions
- 2022-02-04 13:24:19,470:INFO:Preparing display monitor
- 2022-02-04 13:24:19,481:INFO:Importing libraries
- 2022-02-04 13:24:19,481:INFO:Copying training dataset
- 2022-02-04 13:24:19,482:INFO:Defining folds
- 2022-02-04 13:24:19,482:INFO:Declaring metric variables
- 2022-02-04 13:24:19,487:INFO:Importing untrained model
- 2022-02-04 13:24:19,493:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 13:24:19,503:INFO:Starting cross validation
- 2022-02-04 13:24:19,504:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-02-04 13:32:39,897:INFO:Calculating mean and std
- 2022-02-04 13:32:39,898:INFO:Creating metrics dataframe
- 2022-02-04 13:32:39,907:INFO:Finalizing model
- 2022-02-04 13:32:40,434:INFO:Uploading results into container
- 2022-02-04 13:32:40,435:INFO:Uploading model into container now
- 2022-02-04 13:32:40,446:INFO:create_model_container: 1
- 2022-02-04 13:32:40,446:INFO:master_model_container: 1
- 2022-02-04 13:32:40,446:INFO:display_container: 2
- 2022-02-04 13:32:40,447:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=-1, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1638, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='auto',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-02-04 13:32:40,448:INFO:create_model() succesfully completed......................................
- 2022-02-04 14:56:39,483:INFO:PyCaret Supervised Module
- 2022-02-04 14:56:39,484:INFO:ML Usecase: classification
- 2022-02-04 14:56:39,484:INFO:version 2.3.6
- 2022-02-04 14:56:39,484:INFO:Initializing setup()
- 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)
- 2022-02-04 14:56:39,484:INFO:Checking environment
- 2022-02-04 14:56:39,484:INFO:python_version: 3.8.12
- 2022-02-04 14:56:39,484:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 14:56:39,484:INFO:machine: AMD64
- 2022-02-04 14:56:39,484:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 14:56:39,484:INFO:Memory: svmem(total=68629372928, available=45983227904, percent=33.0, used=22646145024, free=45983227904)
- 2022-02-04 14:56:39,484:INFO:Physical Core: 16
- 2022-02-04 14:56:39,484:INFO:Logical Core: 32
- 2022-02-04 14:56:39,484:INFO:Checking libraries
- 2022-02-04 14:56:39,484:INFO:pd==1.3.5
- 2022-02-04 14:56:39,484:INFO:numpy==1.21.5
- 2022-02-04 14:56:39,484:INFO:sklearn==0.23.2
- 2022-02-04 14:56:39,485:INFO:lightgbm==3.3.2
- 2022-02-04 14:56:39,675:INFO:catboost==1.0.4
- 2022-02-04 14:56:39,983:INFO:xgboost==1.5.2
- 2022-02-04 14:56:40,534:INFO:mlflow==1.23.1
- 2022-02-04 14:56:40,534:INFO:Checking Exceptions
- 2022-02-04 14:56:40,534:INFO:Declaring global variables
- 2022-02-04 14:56:40,534:INFO:USI: afb4
- 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'}
- 2022-02-04 14:56:40,535:INFO:Preparing display monitor
- 2022-02-04 14:56:40,535:INFO:Preparing display monitor
- 2022-02-04 14:56:40,546:INFO:Importing libraries
- 2022-02-04 14:56:40,546:INFO:Copying data for preprocessing
- 2022-02-04 14:56:40,552:INFO:Declaring preprocessing parameters
- 2022-02-04 14:56:40,553:WARNING:cuML not found
- 2022-02-04 14:56:40,553:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 14:56:40,559:INFO:Creating preprocessing pipeline
- 2022-02-04 14:56:40,687:INFO:Preprocessing pipeline created successfully
- 2022-02-04 14:56:40,687:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 14:56:40,687:INFO:Creating global containers
- 2022-02-04 14:56:40,688:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 14:56:42,302:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 14:56:42,335:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 14:56:42,337:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 14:56:42,338:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 14:56:42,358:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 14:56:42,363:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 14:56:45,062:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 14:56:45,123:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 14:56:45,124:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 14:56:45,125:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 14:56:45,155:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 14:56:45,160:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 14:56:45,382:INFO:Creating grid variables
- 2022-02-04 14:56:45,399:INFO:create_model_container: 0
- 2022-02-04 14:56:45,399:INFO:master_model_container: 0
- 2022-02-04 14:56:45,399:INFO:display_container: 1
- 2022-02-04 14:56:45,406:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 14:56:45,406:INFO:setup() succesfully completed......................................
- 2022-02-04 14:56:53,408:INFO:Initializing create_model()
- 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={})
- 2022-02-04 14:56:53,409:INFO:Checking exceptions
- 2022-02-04 14:56:53,409:INFO:Preparing display monitor
- 2022-02-04 14:56:53,419:INFO:Importing libraries
- 2022-02-04 14:56:53,419:INFO:Copying training dataset
- 2022-02-04 14:56:53,420:INFO:Defining folds
- 2022-02-04 14:56:53,421:INFO:Declaring metric variables
- 2022-02-04 14:56:53,425:INFO:Importing untrained model
- 2022-02-04 14:56:53,430:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 14:56:53,440:INFO:Starting cross validation
- 2022-02-04 14:56:53,441:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 14:57:44,023:INFO:Calculating mean and std
- 2022-02-04 14:57:44,024:INFO:Creating metrics dataframe
- 2022-02-04 14:57:44,034:INFO:Finalizing model
- 2022-02-04 14:57:44,521:INFO:Uploading results into container
- 2022-02-04 14:57:44,521:INFO:Uploading model into container now
- 2022-02-04 14:57:44,529:INFO:create_model_container: 1
- 2022-02-04 14:57:44,529:INFO:master_model_container: 1
- 2022-02-04 14:57:44,529:INFO:display_container: 2
- 2022-02-04 14:57:44,531:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-02-04 14:57:44,531:INFO:create_model() succesfully completed......................................
- 2022-02-04 14:57:56,245:INFO:Initializing tune_model()
- 2022-02-04 14:57:56,246:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-04 14:57:56,246:INFO:Checking exceptions
- 2022-02-04 14:57:56,247:INFO:Preparing display monitor
- 2022-02-04 14:57:56,257:INFO:Copying training dataset
- 2022-02-04 14:57:56,258:INFO:Checking base model
- 2022-02-04 14:57:56,258:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 14:57:56,265:INFO:Declaring metric variables
- 2022-02-04 14:57:56,270:INFO:Defining Hyperparameters
- 2022-02-04 14:57:56,367:INFO:Tuning with n_jobs=1
- 2022-02-04 14:57:56,367:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 14:59:13,395:INFO:Hyperparameter search completed
- 2022-02-04 14:59:13,395:INFO:SubProcess create_model() called ==================================
- 2022-02-04 14:59:13,396:INFO:Initializing create_model()
- 2022-02-04 14:59:13,396:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-04 14:59:13,396:INFO:Checking exceptions
- 2022-02-04 14:59:13,396:INFO:Importing libraries
- 2022-02-04 14:59:13,396:INFO:Copying training dataset
- 2022-02-04 14:59:13,397:INFO:Defining folds
- 2022-02-04 14:59:13,397:INFO:Declaring metric variables
- 2022-02-04 14:59:13,404:INFO:Importing untrained model
- 2022-02-04 14:59:13,404:INFO:Declaring custom model
- 2022-02-04 14:59:13,412:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 14:59:13,425:INFO:Starting cross validation
- 2022-02-04 14:59:13,426:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 14:59:29,670:INFO:Calculating mean and std
- 2022-02-04 14:59:29,671:INFO:Creating metrics dataframe
- 2022-02-04 14:59:29,681:INFO:Finalizing model
- 2022-02-04 14:59:31,288:INFO:Uploading results into container
- 2022-02-04 14:59:31,288:INFO:Uploading model into container now
- 2022-02-04 14:59:31,288:INFO:create_model_container: 2
- 2022-02-04 14:59:31,288:INFO:master_model_container: 2
- 2022-02-04 14:59:31,288:INFO:display_container: 3
- 2022-02-04 14:59:31,289:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0)
- 2022-02-04 14:59:31,289:INFO:create_model() succesfully completed......................................
- 2022-02-04 14:59:31,383:INFO:SubProcess create_model() end ==================================
- 2022-02-04 14:59:31,391:INFO:create_model_container: 2
- 2022-02-04 14:59:31,391:INFO:master_model_container: 2
- 2022-02-04 14:59:31,391:INFO:display_container: 3
- 2022-02-04 14:59:31,392:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0)
- 2022-02-04 14:59:31,392:INFO:tune_model() succesfully completed......................................
- 2022-02-04 15:00:22,756:INFO:Initializing evaluate_model()
- 2022-02-04 15:00:22,756:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-04 15:00:22,770:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:00:22,770:INFO:Checking exceptions
- 2022-02-04 15:00:22,772:INFO:Preparing display monitor
- 2022-02-04 15:00:22,776:INFO:Preloading libraries
- 2022-02-04 15:00:22,834:INFO:Copying training dataset
- 2022-02-04 15:00:22,835:INFO:Copying test dataset
- 2022-02-04 15:00:22,835:INFO:Plot type: parameter
- 2022-02-04 15:00:22,843:INFO:Visual Rendered Successfully
- 2022-02-04 15:00:22,946:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:00:26,885:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:00:26,885:INFO:Checking exceptions
- 2022-02-04 15:00:26,886:INFO:Preparing display monitor
- 2022-02-04 15:00:26,890:INFO:Preloading libraries
- 2022-02-04 15:00:26,946:INFO:Copying training dataset
- 2022-02-04 15:00:26,947:INFO:Copying test dataset
- 2022-02-04 15:00:26,947:INFO:Plot type: auc
- 2022-02-04 15:00:26,950:INFO:Initializing get_config()
- 2022-02-04 15:00:26,950:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:00:26,954:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:00:26,954:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:00:26,966:INFO:Fitting Model
- 2022-02-04 15:00:26,967:INFO:Scoring test/hold-out set
- 2022-02-04 15:00:27,133:INFO:Visual Rendered Successfully
- 2022-02-04 15:00:27,226:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:00:29,437:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- 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)
- 2022-02-04 15:00:29,437:INFO:Checking exceptions
- 2022-02-04 15:00:29,439:INFO:Preparing display monitor
- 2022-02-04 15:00:29,443:INFO:Preloading libraries
- 2022-02-04 15:00:29,498:INFO:Copying training dataset
- 2022-02-04 15:00:29,499:INFO:Copying test dataset
- 2022-02-04 15:00:29,499:INFO:Plot type: confusion_matrix
- 2022-02-04 15:00:29,503:INFO:Initializing get_config()
- 2022-02-04 15:00:29,503:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:00:29,506:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:00:29,506:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:00:29,515:INFO:Fitting Model
- 2022-02-04 15:00:29,516:INFO:Scoring test/hold-out set
- 2022-02-04 15:00:29,660:INFO:Visual Rendered Successfully
- 2022-02-04 15:00:29,758:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:00:31,562:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=threshold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:00:31,562:INFO:Checking exceptions
- 2022-02-04 15:00:31,563:INFO:Preparing display monitor
- 2022-02-04 15:00:31,567:INFO:Preloading libraries
- 2022-02-04 15:00:31,624:INFO:Copying training dataset
- 2022-02-04 15:00:31,624:INFO:Copying test dataset
- 2022-02-04 15:00:31,625:INFO:Plot type: threshold
- 2022-02-04 15:00:31,636:INFO:Fitting Model
- 2022-02-04 15:01:50,474:INFO:Scoring test/hold-out set
- 2022-02-04 15:01:50,804:INFO:Visual Rendered Successfully
- 2022-02-04 15:01:50,901:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:02:39,447:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=pr, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:02:39,447:INFO:Checking exceptions
- 2022-02-04 15:02:39,448:INFO:Preparing display monitor
- 2022-02-04 15:02:39,452:INFO:Preloading libraries
- 2022-02-04 15:02:39,509:INFO:Copying training dataset
- 2022-02-04 15:02:39,510:INFO:Copying test dataset
- 2022-02-04 15:02:39,510:INFO:Plot type: pr
- 2022-02-04 15:02:39,521:INFO:Fitting Model
- 2022-02-04 15:02:39,523:INFO:Scoring test/hold-out set
- 2022-02-04 15:02:39,663:INFO:Visual Rendered Successfully
- 2022-02-04 15:02:39,761:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:02:43,303:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, verbosity=0), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=error, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:02:43,303:INFO:Checking exceptions
- 2022-02-04 15:02:43,304:INFO:Preparing display monitor
- 2022-02-04 15:02:43,308:INFO:Preloading libraries
- 2022-02-04 15:02:43,364:INFO:Copying training dataset
- 2022-02-04 15:02:43,365:INFO:Copying test dataset
- 2022-02-04 15:02:43,366:INFO:Plot type: error
- 2022-02-04 15:02:43,369:INFO:Initializing get_config()
- 2022-02-04 15:02:43,369:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:02:43,372:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:02:43,372:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:02:43,380:INFO:Fitting Model
- 2022-02-04 15:02:43,382:INFO:Scoring test/hold-out set
- 2022-02-04 15:02:43,517:INFO:Visual Rendered Successfully
- 2022-02-04 15:02:43,618:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:03:07,546:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.3, max_delta_step=0,
- max_depth=7, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=200, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=3, reg_lambda=0.15,
- scale_pos_weight=38.400000000000006, subsample=0.2,
- tree_method='gpu_hist', use_label_encoder=True,
- 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)
- 2022-02-04 15:03:07,546:INFO:Checking exceptions
- 2022-02-04 15:03:07,548:INFO:Preparing display monitor
- 2022-02-04 15:03:07,553:INFO:Preloading libraries
- 2022-02-04 15:03:07,611:INFO:Copying training dataset
- 2022-02-04 15:03:07,612:INFO:Copying test dataset
- 2022-02-04 15:03:07,612:INFO:Plot type: class_report
- 2022-02-04 15:03:07,616:INFO:Initializing get_config()
- 2022-02-04 15:03:07,616:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:03:07,619:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:03:07,619:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:03:07,629:INFO:Fitting Model
- 2022-02-04 15:03:07,630:INFO:Scoring test/hold-out set
- 2022-02-04 15:03:07,803:INFO:Visual Rendered Successfully
- 2022-02-04 15:03:07,910:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:03:34,192:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:03:34,193:INFO:Checking exceptions
- 2022-02-04 15:03:34,193:INFO:Preparing display monitor
- 2022-02-04 15:03:34,204:INFO:Importing libraries
- 2022-02-04 15:03:34,204:INFO:Copying training dataset
- 2022-02-04 15:03:34,205:INFO:Defining folds
- 2022-02-04 15:03:34,205:INFO:Declaring metric variables
- 2022-02-04 15:03:34,209:INFO:Importing untrained model
- 2022-02-04 15:03:34,215:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:03:34,224:INFO:Starting cross validation
- 2022-02-04 15:03:34,225:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:04:13,863:INFO:Calculating mean and std
- 2022-02-04 15:04:13,864:INFO:Creating metrics dataframe
- 2022-02-04 15:04:13,873:INFO:Finalizing model
- 2022-02-04 15:04:18,573:INFO:Uploading results into container
- 2022-02-04 15:04:18,573:INFO:Uploading model into container now
- 2022-02-04 15:04:18,581:INFO:create_model_container: 3
- 2022-02-04 15:04:18,581:INFO:master_model_container: 3
- 2022-02-04 15:04:18,582:INFO:display_container: 4
- 2022-02-04 15:04:18,583:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=4409,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:04:18,583:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:05:46,592:INFO:Initializing compare_models()
- 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)
- 2022-02-04 15:05:46,592:INFO:Checking exceptions
- 2022-02-04 15:05:46,593:INFO:Preparing display monitor
- 2022-02-04 15:05:46,593:INFO:Preparing display monitor
- 2022-02-04 15:05:46,610:INFO:Initializing Logistic Regression
- 2022-02-04 15:05:46,610:INFO:Total runtime is 0.0 minutes
- 2022-02-04 15:05:46,615:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:05:46,615:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:05:46,616:INFO:Checking exceptions
- 2022-02-04 15:05:46,616:INFO:Importing libraries
- 2022-02-04 15:05:46,616:INFO:Copying training dataset
- 2022-02-04 15:05:46,617:INFO:Defining folds
- 2022-02-04 15:05:46,617:INFO:Declaring metric variables
- 2022-02-04 15:05:46,621:INFO:Importing untrained model
- 2022-02-04 15:05:46,626:INFO:Logistic Regression Imported succesfully
- 2022-02-04 15:05:46,638:INFO:Starting cross validation
- 2022-02-04 15:05:46,638:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:05:47,871:INFO:Calculating mean and std
- 2022-02-04 15:05:47,872:INFO:Creating metrics dataframe
- 2022-02-04 15:05:47,876:INFO:Uploading results into container
- 2022-02-04 15:05:47,876:INFO:Uploading model into container now
- 2022-02-04 15:05:47,876:INFO:create_model_container: 4
- 2022-02-04 15:05:47,877:INFO:master_model_container: 4
- 2022-02-04 15:05:47,877:INFO:display_container: 5
- 2022-02-04 15:05:47,877:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
- intercept_scaling=1, l1_ratio=None, max_iter=1000,
- multi_class='auto', n_jobs=None, penalty='l2',
- random_state=4409, solver='lbfgs', tol=0.0001, verbose=0,
- warm_start=False)
- 2022-02-04 15:05:47,877:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:05:47,972:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:05:47,972:INFO:Creating metrics dataframe
- 2022-02-04 15:05:47,982:INFO:Initializing K Neighbors Classifier
- 2022-02-04 15:05:47,982:INFO:Total runtime is 0.022866658369700112 minutes
- 2022-02-04 15:05:47,987:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:05:47,987:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:05:47,988:INFO:Checking exceptions
- 2022-02-04 15:05:47,988:INFO:Importing libraries
- 2022-02-04 15:05:47,988:INFO:Copying training dataset
- 2022-02-04 15:05:47,989:INFO:Defining folds
- 2022-02-04 15:05:47,989:INFO:Declaring metric variables
- 2022-02-04 15:05:47,994:INFO:Importing untrained model
- 2022-02-04 15:05:47,999:INFO:K Neighbors Classifier Imported succesfully
- 2022-02-04 15:05:48,008:INFO:Starting cross validation
- 2022-02-04 15:05:48,008:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:07,415:INFO:Calculating mean and std
- 2022-02-04 15:06:07,416:INFO:Creating metrics dataframe
- 2022-02-04 15:06:07,418:INFO:Uploading results into container
- 2022-02-04 15:06:07,418:INFO:Uploading model into container now
- 2022-02-04 15:06:07,418:INFO:create_model_container: 5
- 2022-02-04 15:06:07,418:INFO:master_model_container: 5
- 2022-02-04 15:06:07,419:INFO:display_container: 5
- 2022-02-04 15:06:07,419:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
- metric_params=None, n_jobs=-1, n_neighbors=5, p=2,
- weights='uniform')
- 2022-02-04 15:06:07,419:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:07,516:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:07,516:INFO:Creating metrics dataframe
- 2022-02-04 15:06:07,527:INFO:Initializing Naive Bayes
- 2022-02-04 15:06:07,527:INFO:Total runtime is 0.3486156860987345 minutes
- 2022-02-04 15:06:07,532:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:07,533:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:07,533:INFO:Checking exceptions
- 2022-02-04 15:06:07,533:INFO:Importing libraries
- 2022-02-04 15:06:07,533:INFO:Copying training dataset
- 2022-02-04 15:06:07,534:INFO:Defining folds
- 2022-02-04 15:06:07,534:INFO:Declaring metric variables
- 2022-02-04 15:06:07,538:INFO:Importing untrained model
- 2022-02-04 15:06:07,543:INFO:Naive Bayes Imported succesfully
- 2022-02-04 15:06:07,552:INFO:Starting cross validation
- 2022-02-04 15:06:07,553:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:07,770:INFO:Calculating mean and std
- 2022-02-04 15:06:07,771:INFO:Creating metrics dataframe
- 2022-02-04 15:06:07,774:INFO:Uploading results into container
- 2022-02-04 15:06:07,774:INFO:Uploading model into container now
- 2022-02-04 15:06:07,774:INFO:create_model_container: 6
- 2022-02-04 15:06:07,774:INFO:master_model_container: 6
- 2022-02-04 15:06:07,774:INFO:display_container: 5
- 2022-02-04 15:06:07,774:INFO:GaussianNB(priors=None, var_smoothing=1e-09)
- 2022-02-04 15:06:07,774:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:07,871:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:07,871:INFO:Creating metrics dataframe
- 2022-02-04 15:06:07,881:INFO:Initializing Decision Tree Classifier
- 2022-02-04 15:06:07,881:INFO:Total runtime is 0.35451567173004145 minutes
- 2022-02-04 15:06:07,886:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:07,886:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:07,887:INFO:Checking exceptions
- 2022-02-04 15:06:07,887:INFO:Importing libraries
- 2022-02-04 15:06:07,887:INFO:Copying training dataset
- 2022-02-04 15:06:07,888:INFO:Defining folds
- 2022-02-04 15:06:07,888:INFO:Declaring metric variables
- 2022-02-04 15:06:07,894:INFO:Importing untrained model
- 2022-02-04 15:06:07,899:INFO:Decision Tree Classifier Imported succesfully
- 2022-02-04 15:06:07,909:INFO:Starting cross validation
- 2022-02-04 15:06:07,910:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:08,821:INFO:Calculating mean and std
- 2022-02-04 15:06:08,822:INFO:Creating metrics dataframe
- 2022-02-04 15:06:08,825:INFO:Uploading results into container
- 2022-02-04 15:06:08,825:INFO:Uploading model into container now
- 2022-02-04 15:06:08,825:INFO:create_model_container: 7
- 2022-02-04 15:06:08,825:INFO:master_model_container: 7
- 2022-02-04 15:06:08,825:INFO:display_container: 5
- 2022-02-04 15:06:08,825:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4409, splitter='best')
- 2022-02-04 15:06:08,825:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:08,923:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:08,923:INFO:Creating metrics dataframe
- 2022-02-04 15:06:08,934:INFO:Initializing SVM - Linear Kernel
- 2022-02-04 15:06:08,934:INFO:Total runtime is 0.3720656991004943 minutes
- 2022-02-04 15:06:08,939:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:08,939:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:08,939:INFO:Checking exceptions
- 2022-02-04 15:06:08,940:INFO:Importing libraries
- 2022-02-04 15:06:08,940:INFO:Copying training dataset
- 2022-02-04 15:06:08,940:INFO:Defining folds
- 2022-02-04 15:06:08,941:INFO:Declaring metric variables
- 2022-02-04 15:06:08,945:INFO:Importing untrained model
- 2022-02-04 15:06:08,950:INFO:SVM - Linear Kernel Imported succesfully
- 2022-02-04 15:06:08,960:INFO:Starting cross validation
- 2022-02-04 15:06:08,960:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:09,595:INFO:Calculating mean and std
- 2022-02-04 15:06:09,595:INFO:Creating metrics dataframe
- 2022-02-04 15:06:09,598:INFO:Uploading results into container
- 2022-02-04 15:06:09,598:INFO:Uploading model into container now
- 2022-02-04 15:06:09,598:INFO:create_model_container: 8
- 2022-02-04 15:06:09,598:INFO:master_model_container: 8
- 2022-02-04 15:06:09,598:INFO:display_container: 5
- 2022-02-04 15:06:09,599:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None,
- early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True,
- l1_ratio=0.15, learning_rate='optimal', loss='hinge',
- max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2',
- power_t=0.5, random_state=4409, shuffle=True, tol=0.001,
- validation_fraction=0.1, verbose=0, warm_start=False)
- 2022-02-04 15:06:09,599:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:09,692:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:09,692:INFO:Creating metrics dataframe
- 2022-02-04 15:06:09,703:INFO:Initializing Ridge Classifier
- 2022-02-04 15:06:09,703:INFO:Total runtime is 0.384882374604543 minutes
- 2022-02-04 15:06:09,708:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:09,708:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:09,708:INFO:Checking exceptions
- 2022-02-04 15:06:09,709:INFO:Importing libraries
- 2022-02-04 15:06:09,709:INFO:Copying training dataset
- 2022-02-04 15:06:09,710:INFO:Defining folds
- 2022-02-04 15:06:09,710:INFO:Declaring metric variables
- 2022-02-04 15:06:09,714:INFO:Importing untrained model
- 2022-02-04 15:06:09,719:INFO:Ridge Classifier Imported succesfully
- 2022-02-04 15:06:09,729:INFO:Starting cross validation
- 2022-02-04 15:06:09,730:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:09,954:INFO:Calculating mean and std
- 2022-02-04 15:06:09,954:INFO:Creating metrics dataframe
- 2022-02-04 15:06:09,957:INFO:Uploading results into container
- 2022-02-04 15:06:09,957:INFO:Uploading model into container now
- 2022-02-04 15:06:09,957:INFO:create_model_container: 9
- 2022-02-04 15:06:09,957:INFO:master_model_container: 9
- 2022-02-04 15:06:09,957:INFO:display_container: 5
- 2022-02-04 15:06:09,957:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True,
- max_iter=None, normalize=False, random_state=4409,
- solver='auto', tol=0.001)
- 2022-02-04 15:06:09,958:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:10,055:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:10,055:INFO:Creating metrics dataframe
- 2022-02-04 15:06:10,066:INFO:Initializing Random Forest Classifier
- 2022-02-04 15:06:10,066:INFO:Total runtime is 0.3909323612848917 minutes
- 2022-02-04 15:06:10,071:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:10,071:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:10,072:INFO:Checking exceptions
- 2022-02-04 15:06:10,072:INFO:Importing libraries
- 2022-02-04 15:06:10,072:INFO:Copying training dataset
- 2022-02-04 15:06:10,072:INFO:Defining folds
- 2022-02-04 15:06:10,073:INFO:Declaring metric variables
- 2022-02-04 15:06:10,078:INFO:Importing untrained model
- 2022-02-04 15:06:10,083:INFO:Random Forest Classifier Imported succesfully
- 2022-02-04 15:06:10,092:INFO:Starting cross validation
- 2022-02-04 15:06:10,092:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:16,557:INFO:Calculating mean and std
- 2022-02-04 15:06:16,557:INFO:Creating metrics dataframe
- 2022-02-04 15:06:16,561:INFO:Uploading results into container
- 2022-02-04 15:06:16,561:INFO:Uploading model into container now
- 2022-02-04 15:06:16,561:INFO:create_model_container: 10
- 2022-02-04 15:06:16,561:INFO:master_model_container: 10
- 2022-02-04 15:06:16,561:INFO:display_container: 5
- 2022-02-04 15:06:16,562:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
- warm_start=False)
- 2022-02-04 15:06:16,562:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:16,667:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:16,667:INFO:Creating metrics dataframe
- 2022-02-04 15:06:16,678:INFO:Initializing Quadratic Discriminant Analysis
- 2022-02-04 15:06:16,678:INFO:Total runtime is 0.5011307676633199 minutes
- 2022-02-04 15:06:16,684:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:16,684:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:16,684:INFO:Checking exceptions
- 2022-02-04 15:06:16,684:INFO:Importing libraries
- 2022-02-04 15:06:16,684:INFO:Copying training dataset
- 2022-02-04 15:06:16,685:INFO:Defining folds
- 2022-02-04 15:06:16,685:INFO:Declaring metric variables
- 2022-02-04 15:06:16,690:INFO:Importing untrained model
- 2022-02-04 15:06:16,695:INFO:Quadratic Discriminant Analysis Imported succesfully
- 2022-02-04 15:06:16,704:INFO:Starting cross validation
- 2022-02-04 15:06:16,705:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:17,050:INFO:Calculating mean and std
- 2022-02-04 15:06:17,050:INFO:Creating metrics dataframe
- 2022-02-04 15:06:17,053:INFO:Uploading results into container
- 2022-02-04 15:06:17,053:INFO:Uploading model into container now
- 2022-02-04 15:06:17,053:INFO:create_model_container: 11
- 2022-02-04 15:06:17,053:INFO:master_model_container: 11
- 2022-02-04 15:06:17,053:INFO:display_container: 5
- 2022-02-04 15:06:17,053:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,
- store_covariance=False, tol=0.0001)
- 2022-02-04 15:06:17,054:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:17,149:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:17,150:INFO:Creating metrics dataframe
- 2022-02-04 15:06:17,161:INFO:Initializing Ada Boost Classifier
- 2022-02-04 15:06:17,161:INFO:Total runtime is 0.5091807285944621 minutes
- 2022-02-04 15:06:17,166:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:17,166:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:17,166:INFO:Checking exceptions
- 2022-02-04 15:06:17,166:INFO:Importing libraries
- 2022-02-04 15:06:17,166:INFO:Copying training dataset
- 2022-02-04 15:06:17,167:INFO:Defining folds
- 2022-02-04 15:06:17,167:INFO:Declaring metric variables
- 2022-02-04 15:06:17,172:INFO:Importing untrained model
- 2022-02-04 15:06:17,176:INFO:Ada Boost Classifier Imported succesfully
- 2022-02-04 15:06:17,185:INFO:Starting cross validation
- 2022-02-04 15:06:17,186:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:23,878:INFO:Calculating mean and std
- 2022-02-04 15:06:23,878:INFO:Creating metrics dataframe
- 2022-02-04 15:06:23,881:INFO:Uploading results into container
- 2022-02-04 15:06:23,881:INFO:Uploading model into container now
- 2022-02-04 15:06:23,881:INFO:create_model_container: 12
- 2022-02-04 15:06:23,881:INFO:master_model_container: 12
- 2022-02-04 15:06:23,881:INFO:display_container: 5
- 2022-02-04 15:06:23,882:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,
- n_estimators=50, random_state=4409)
- 2022-02-04 15:06:23,882:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:23,979:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:23,979:INFO:Creating metrics dataframe
- 2022-02-04 15:06:23,990:INFO:Initializing Gradient Boosting Classifier
- 2022-02-04 15:06:23,991:INFO:Total runtime is 0.6230140884717306 minutes
- 2022-02-04 15:06:23,996:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:23,996:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:23,996:INFO:Checking exceptions
- 2022-02-04 15:06:23,996:INFO:Importing libraries
- 2022-02-04 15:06:23,996:INFO:Copying training dataset
- 2022-02-04 15:06:23,997:INFO:Defining folds
- 2022-02-04 15:06:23,998:INFO:Declaring metric variables
- 2022-02-04 15:06:24,002:INFO:Importing untrained model
- 2022-02-04 15:06:24,008:INFO:Gradient Boosting Classifier Imported succesfully
- 2022-02-04 15:06:24,017:INFO:Starting cross validation
- 2022-02-04 15:06:24,017:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:45,572:INFO:Calculating mean and std
- 2022-02-04 15:06:45,573:INFO:Creating metrics dataframe
- 2022-02-04 15:06:45,575:INFO:Uploading results into container
- 2022-02-04 15:06:45,576:INFO:Uploading model into container now
- 2022-02-04 15:06:45,576:INFO:create_model_container: 13
- 2022-02-04 15:06:45,576:INFO:master_model_container: 13
- 2022-02-04 15:06:45,576:INFO:display_container: 5
- 2022-02-04 15:06:45,576:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,
- learning_rate=0.1, loss='deviance', max_depth=3,
- max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_iter_no_change=None, presort='deprecated',
- random_state=4409, subsample=1.0, tol=0.0001,
- validation_fraction=0.1, verbose=0,
- warm_start=False)
- 2022-02-04 15:06:45,576:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:45,671:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:45,671:INFO:Creating metrics dataframe
- 2022-02-04 15:06:45,683:INFO:Initializing Linear Discriminant Analysis
- 2022-02-04 15:06:45,683:INFO:Total runtime is 0.9845474243164063 minutes
- 2022-02-04 15:06:45,688:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:45,688:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:45,688:INFO:Checking exceptions
- 2022-02-04 15:06:45,689:INFO:Importing libraries
- 2022-02-04 15:06:45,689:INFO:Copying training dataset
- 2022-02-04 15:06:45,689:INFO:Defining folds
- 2022-02-04 15:06:45,690:INFO:Declaring metric variables
- 2022-02-04 15:06:45,694:INFO:Importing untrained model
- 2022-02-04 15:06:45,699:INFO:Linear Discriminant Analysis Imported succesfully
- 2022-02-04 15:06:45,708:INFO:Starting cross validation
- 2022-02-04 15:06:45,709:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:46,414:INFO:Calculating mean and std
- 2022-02-04 15:06:46,415:INFO:Creating metrics dataframe
- 2022-02-04 15:06:46,418:INFO:Uploading results into container
- 2022-02-04 15:06:46,418:INFO:Uploading model into container now
- 2022-02-04 15:06:46,418:INFO:create_model_container: 14
- 2022-02-04 15:06:46,418:INFO:master_model_container: 14
- 2022-02-04 15:06:46,418:INFO:display_container: 5
- 2022-02-04 15:06:46,419:INFO:LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,
- solver='svd', store_covariance=False, tol=0.0001)
- 2022-02-04 15:06:46,419:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:46,515:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:46,515:INFO:Creating metrics dataframe
- 2022-02-04 15:06:46,527:INFO:Initializing Extra Trees Classifier
- 2022-02-04 15:06:46,527:INFO:Total runtime is 0.9986141165097555 minutes
- 2022-02-04 15:06:46,532:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:46,532:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:46,532:INFO:Checking exceptions
- 2022-02-04 15:06:46,532:INFO:Importing libraries
- 2022-02-04 15:06:46,532:INFO:Copying training dataset
- 2022-02-04 15:06:46,533:INFO:Defining folds
- 2022-02-04 15:06:46,534:INFO:Declaring metric variables
- 2022-02-04 15:06:46,538:INFO:Importing untrained model
- 2022-02-04 15:06:46,543:INFO:Extra Trees Classifier Imported succesfully
- 2022-02-04 15:06:46,553:INFO:Starting cross validation
- 2022-02-04 15:06:46,553:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:06:54,031:INFO:Calculating mean and std
- 2022-02-04 15:06:54,032:INFO:Creating metrics dataframe
- 2022-02-04 15:06:54,034:INFO:Uploading results into container
- 2022-02-04 15:06:54,034:INFO:Uploading model into container now
- 2022-02-04 15:06:54,034:INFO:create_model_container: 15
- 2022-02-04 15:06:54,035:INFO:master_model_container: 15
- 2022-02-04 15:06:54,035:INFO:display_container: 5
- 2022-02-04 15:06:54,035:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4409, verbose=0,
- warm_start=False)
- 2022-02-04 15:06:54,035:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:06:54,141:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:06:54,141:INFO:Creating metrics dataframe
- 2022-02-04 15:06:54,153:INFO:Initializing Extreme Gradient Boosting
- 2022-02-04 15:06:54,154:INFO:Total runtime is 1.1257275780042013 minutes
- 2022-02-04 15:06:54,159:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:06:54,159:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:06:54,159:INFO:Checking exceptions
- 2022-02-04 15:06:54,159:INFO:Importing libraries
- 2022-02-04 15:06:54,159:INFO:Copying training dataset
- 2022-02-04 15:06:54,160:INFO:Defining folds
- 2022-02-04 15:06:54,160:INFO:Declaring metric variables
- 2022-02-04 15:06:54,165:INFO:Importing untrained model
- 2022-02-04 15:06:54,169:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:06:54,179:INFO:Starting cross validation
- 2022-02-04 15:06:54,180:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:07:00,013:INFO:Calculating mean and std
- 2022-02-04 15:07:00,014:INFO:Creating metrics dataframe
- 2022-02-04 15:07:00,018:INFO:Uploading results into container
- 2022-02-04 15:07:00,018:INFO:Uploading model into container now
- 2022-02-04 15:07:00,018:INFO:create_model_container: 16
- 2022-02-04 15:07:00,018:INFO:master_model_container: 16
- 2022-02-04 15:07:00,018:INFO:display_container: 5
- 2022-02-04 15:07:00,019:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
- colsample_bynode=None, colsample_bytree=None,
- enable_categorical=False, gamma=None, gpu_id=None,
- importance_type=None, interaction_constraints=None,
- learning_rate=None, max_delta_step=None, max_depth=None,
- min_child_weight=None, missing=nan, monotone_constraints=None,
- n_estimators=100, n_jobs=-1, num_parallel_tree=None,
- objective='binary:logistic', predictor=None, random_state=4409,
- reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
- subsample=None, tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=None, verbosity=0)
- 2022-02-04 15:07:00,019:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:07:00,137:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:07:00,137:INFO:Creating metrics dataframe
- 2022-02-04 15:07:00,149:INFO:Initializing Light Gradient Boosting Machine
- 2022-02-04 15:07:00,149:INFO:Total runtime is 1.2256452123324078 minutes
- 2022-02-04 15:07:00,155:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:07:00,155:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:07:00,155:INFO:Checking exceptions
- 2022-02-04 15:07:00,155:INFO:Importing libraries
- 2022-02-04 15:07:00,155:INFO:Copying training dataset
- 2022-02-04 15:07:00,156:INFO:Defining folds
- 2022-02-04 15:07:00,156:INFO:Declaring metric variables
- 2022-02-04 15:07:00,161:INFO:Importing untrained model
- 2022-02-04 15:07:00,165:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-02-04 15:07:00,175:INFO:Starting cross validation
- 2022-02-04 15:07:00,175:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:07:15,358:INFO:Calculating mean and std
- 2022-02-04 15:07:15,359:INFO:Creating metrics dataframe
- 2022-02-04 15:07:15,363:INFO:Uploading results into container
- 2022-02-04 15:07:15,363:INFO:Uploading model into container now
- 2022-02-04 15:07:15,363:INFO:create_model_container: 17
- 2022-02-04 15:07:15,363:INFO:master_model_container: 17
- 2022-02-04 15:07:15,363:INFO:display_container: 5
- 2022-02-04 15:07:15,364:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- device='gpu', importance_type='split', learning_rate=0.1,
- max_depth=-1, min_child_samples=20, min_child_weight=0.001,
- min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
- objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0)
- 2022-02-04 15:07:15,364:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:07:15,486:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:07:15,486:INFO:Creating metrics dataframe
- 2022-02-04 15:07:15,500:INFO:Initializing CatBoost Classifier
- 2022-02-04 15:07:15,500:INFO:Total runtime is 1.4814952055613202 minutes
- 2022-02-04 15:07:15,505:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:07:15,505:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:07:15,506:INFO:Checking exceptions
- 2022-02-04 15:07:15,506:INFO:Importing libraries
- 2022-02-04 15:07:15,506:INFO:Copying training dataset
- 2022-02-04 15:07:15,507:INFO:Defining folds
- 2022-02-04 15:07:15,507:INFO:Declaring metric variables
- 2022-02-04 15:07:15,511:INFO:Importing untrained model
- 2022-02-04 15:07:15,516:INFO:CatBoost Classifier Imported succesfully
- 2022-02-04 15:07:15,526:INFO:Starting cross validation
- 2022-02-04 15:07:15,526:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:08:36,311:INFO:Calculating mean and std
- 2022-02-04 15:08:36,312:INFO:Creating metrics dataframe
- 2022-02-04 15:08:36,315:INFO:Uploading results into container
- 2022-02-04 15:08:36,315:INFO:Uploading model into container now
- 2022-02-04 15:08:36,315:INFO:create_model_container: 18
- 2022-02-04 15:08:36,315:INFO:master_model_container: 18
- 2022-02-04 15:08:36,315:INFO:display_container: 5
- 2022-02-04 15:08:36,315:INFO:<catboost.core.CatBoostClassifier object at 0x0000019A490FDDC0>
- 2022-02-04 15:08:36,315:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:08:36,421:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:08:36,422:INFO:Creating metrics dataframe
- 2022-02-04 15:08:36,435:INFO:Initializing Dummy Classifier
- 2022-02-04 15:08:36,435:INFO:Total runtime is 2.830419460932414 minutes
- 2022-02-04 15:08:36,440:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:08:36,440:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:08:36,440:INFO:Checking exceptions
- 2022-02-04 15:08:36,440:INFO:Importing libraries
- 2022-02-04 15:08:36,440:INFO:Copying training dataset
- 2022-02-04 15:08:36,441:INFO:Defining folds
- 2022-02-04 15:08:36,442:INFO:Declaring metric variables
- 2022-02-04 15:08:36,446:INFO:Importing untrained model
- 2022-02-04 15:08:36,452:INFO:Dummy Classifier Imported succesfully
- 2022-02-04 15:08:36,464:INFO:Starting cross validation
- 2022-02-04 15:08:36,464:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:08:36,598:INFO:Calculating mean and std
- 2022-02-04 15:08:36,598:INFO:Creating metrics dataframe
- 2022-02-04 15:08:36,602:INFO:Uploading results into container
- 2022-02-04 15:08:36,602:INFO:Uploading model into container now
- 2022-02-04 15:08:36,602:INFO:create_model_container: 19
- 2022-02-04 15:08:36,602:INFO:master_model_container: 19
- 2022-02-04 15:08:36,602:INFO:display_container: 5
- 2022-02-04 15:08:36,602:INFO:DummyClassifier(constant=None, random_state=4409, strategy='prior')
- 2022-02-04 15:08:36,602:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:08:36,703:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:08:36,704:INFO:Creating metrics dataframe
- 2022-02-04 15:08:36,728:INFO:Initializing create_model()
- 2022-02-04 15:08:36,728:INFO:create_model(estimator=ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4409, verbose=0,
- 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={})
- 2022-02-04 15:08:36,728:INFO:Checking exceptions
- 2022-02-04 15:08:36,728:INFO:Importing libraries
- 2022-02-04 15:08:36,729:INFO:Copying training dataset
- 2022-02-04 15:08:36,729:INFO:Defining folds
- 2022-02-04 15:08:36,729:INFO:Declaring metric variables
- 2022-02-04 15:08:36,729:INFO:Importing untrained model
- 2022-02-04 15:08:36,729:INFO:Declaring custom model
- 2022-02-04 15:08:36,730:INFO:Extra Trees Classifier Imported succesfully
- 2022-02-04 15:08:36,730:INFO:Cross validation set to False
- 2022-02-04 15:08:36,730:INFO:Fitting Model
- 2022-02-04 15:08:36,996:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4409, verbose=0,
- warm_start=False)
- 2022-02-04 15:08:36,996:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:37,106:INFO:Initializing create_model()
- 2022-02-04 15:08:37,107:INFO:create_model(estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
- 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={})
- 2022-02-04 15:08:37,107:INFO:Checking exceptions
- 2022-02-04 15:08:37,107:INFO:Importing libraries
- 2022-02-04 15:08:37,107:INFO:Copying training dataset
- 2022-02-04 15:08:37,108:INFO:Defining folds
- 2022-02-04 15:08:37,108:INFO:Declaring metric variables
- 2022-02-04 15:08:37,108:INFO:Importing untrained model
- 2022-02-04 15:08:37,108:INFO:Declaring custom model
- 2022-02-04 15:08:37,108:INFO:Random Forest Classifier Imported succesfully
- 2022-02-04 15:08:37,109:INFO:Cross validation set to False
- 2022-02-04 15:08:37,109:INFO:Fitting Model
- 2022-02-04 15:08:37,418:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
- warm_start=False)
- 2022-02-04 15:08:37,418:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:37,525:INFO:Initializing create_model()
- 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={})
- 2022-02-04 15:08:37,525:INFO:Checking exceptions
- 2022-02-04 15:08:37,525:INFO:Importing libraries
- 2022-02-04 15:08:37,525:INFO:Copying training dataset
- 2022-02-04 15:08:37,526:INFO:Defining folds
- 2022-02-04 15:08:37,526:INFO:Declaring metric variables
- 2022-02-04 15:08:37,526:INFO:Importing untrained model
- 2022-02-04 15:08:37,526:INFO:Declaring custom model
- 2022-02-04 15:08:37,526:INFO:CatBoost Classifier Imported succesfully
- 2022-02-04 15:08:37,527:INFO:Cross validation set to False
- 2022-02-04 15:08:37,527:INFO:Fitting Model
- 2022-02-04 15:08:45,340:INFO:<catboost.core.CatBoostClassifier object at 0x0000019A491A57C0>
- 2022-02-04 15:08:45,340:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:45,442:INFO:Initializing create_model()
- 2022-02-04 15:08:45,442:INFO:create_model(estimator=XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None,
- colsample_bynode=None, colsample_bytree=None,
- enable_categorical=False, gamma=None, gpu_id=None,
- importance_type=None, interaction_constraints=None,
- learning_rate=None, max_delta_step=None, max_depth=None,
- min_child_weight=None, missing=nan, monotone_constraints=None,
- n_estimators=100, n_jobs=-1, num_parallel_tree=None,
- objective='binary:logistic', predictor=None, random_state=4409,
- reg_alpha=None, reg_lambda=None, scale_pos_weight=None,
- subsample=None, tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 15:08:45,442:INFO:Checking exceptions
- 2022-02-04 15:08:45,442:INFO:Importing libraries
- 2022-02-04 15:08:45,442:INFO:Copying training dataset
- 2022-02-04 15:08:45,443:INFO:Defining folds
- 2022-02-04 15:08:45,443:INFO:Declaring metric variables
- 2022-02-04 15:08:45,443:INFO:Importing untrained model
- 2022-02-04 15:08:45,443:INFO:Declaring custom model
- 2022-02-04 15:08:45,444:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:08:45,445:INFO:Cross validation set to False
- 2022-02-04 15:08:45,445:INFO:Fitting Model
- 2022-02-04 15:08:46,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, verbosity=0)
- 2022-02-04 15:08:46,436:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:46,545:INFO:Initializing create_model()
- 2022-02-04 15:08:46,545:INFO:create_model(estimator=LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- device='gpu', importance_type='split', learning_rate=0.1,
- max_depth=-1, min_child_samples=20, min_child_weight=0.001,
- min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
- objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
- silent='warn', 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={})
- 2022-02-04 15:08:46,546:INFO:Checking exceptions
- 2022-02-04 15:08:46,546:INFO:Importing libraries
- 2022-02-04 15:08:46,546:INFO:Copying training dataset
- 2022-02-04 15:08:46,546:INFO:Defining folds
- 2022-02-04 15:08:46,546:INFO:Declaring metric variables
- 2022-02-04 15:08:46,546:INFO:Importing untrained model
- 2022-02-04 15:08:46,547:INFO:Declaring custom model
- 2022-02-04 15:08:46,547:INFO:Light Gradient Boosting Machine Imported succesfully
- 2022-02-04 15:08:46,547:INFO:Cross validation set to False
- 2022-02-04 15:08:46,547:INFO:Fitting Model
- 2022-02-04 15:08:47,475:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- device='gpu', importance_type='split', learning_rate=0.1,
- max_depth=-1, min_child_samples=20, min_child_weight=0.001,
- min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
- objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0)
- 2022-02-04 15:08:47,476:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:47,604:INFO:Initializing create_model()
- 2022-02-04 15:08:47,605:INFO:create_model(estimator=DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- 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={})
- 2022-02-04 15:08:47,605:INFO:Checking exceptions
- 2022-02-04 15:08:47,605:INFO:Importing libraries
- 2022-02-04 15:08:47,605:INFO:Copying training dataset
- 2022-02-04 15:08:47,606:INFO:Defining folds
- 2022-02-04 15:08:47,606:INFO:Declaring metric variables
- 2022-02-04 15:08:47,606:INFO:Importing untrained model
- 2022-02-04 15:08:47,606:INFO:Declaring custom model
- 2022-02-04 15:08:47,606:INFO:Decision Tree Classifier Imported succesfully
- 2022-02-04 15:08:47,607:INFO:Cross validation set to False
- 2022-02-04 15:08:47,607:INFO:Fitting Model
- 2022-02-04 15:08:47,695:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4409, splitter='best')
- 2022-02-04 15:08:47,695:INFO:create_models() succesfully completed......................................
- 2022-02-04 15:08:47,815:INFO:create_model_container: 19
- 2022-02-04 15:08:47,815:INFO:master_model_container: 19
- 2022-02-04 15:08:47,815:INFO:display_container: 5
- 2022-02-04 15:08:47,817:INFO:[ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=-1,
- oob_score=False, random_state=4409, verbose=0,
- warm_start=False), RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,
- criterion='gini', max_depth=None, max_features='auto',
- max_leaf_nodes=None, max_samples=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, n_estimators=100,
- n_jobs=-1, oob_score=False, random_state=4409, verbose=0,
- warm_start=False), <catboost.core.CatBoostClassifier object at 0x0000019A491A57C0>, XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=4409, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, verbosity=0), LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
- device='gpu', importance_type='split', learning_rate=0.1,
- max_depth=-1, min_child_samples=20, min_child_weight=0.001,
- min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
- objective=None, random_state=4409, reg_alpha=0.0, reg_lambda=0.0,
- silent='warn', subsample=1.0, subsample_for_bin=200000,
- subsample_freq=0), DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
- max_depth=None, max_features=None, max_leaf_nodes=None,
- min_impurity_decrease=0.0, min_impurity_split=None,
- min_samples_leaf=1, min_samples_split=2,
- min_weight_fraction_leaf=0.0, presort='deprecated',
- random_state=4409, splitter='best')]
- 2022-02-04 15:08:47,817:INFO:compare_models() succesfully completed......................................
- 2022-02-04 15:12:54,460:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:12:54,460:INFO:Checking exceptions
- 2022-02-04 15:12:54,461:INFO:Preparing display monitor
- 2022-02-04 15:12:54,472:INFO:Importing libraries
- 2022-02-04 15:12:54,472:INFO:Copying training dataset
- 2022-02-04 15:12:54,473:INFO:Defining folds
- 2022-02-04 15:12:54,473:INFO:Declaring metric variables
- 2022-02-04 15:12:54,478:INFO:Importing untrained model
- 2022-02-04 15:12:54,483:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:12:54,493:INFO:Starting cross validation
- 2022-02-04 15:12:54,494:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:13:39,368:INFO:Calculating mean and std
- 2022-02-04 15:13:39,369:INFO:Creating metrics dataframe
- 2022-02-04 15:13:39,380:INFO:Finalizing model
- 2022-02-04 15:13:43,426:INFO:Uploading results into container
- 2022-02-04 15:13:43,426:INFO:Uploading model into container now
- 2022-02-04 15:13:43,434:INFO:create_model_container: 20
- 2022-02-04 15:13:43,435:INFO:master_model_container: 20
- 2022-02-04 15:13:43,435:INFO:display_container: 6
- 2022-02-04 15:13:43,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=4409,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:13:43,436:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:15:36,827:INFO:PyCaret Supervised Module
- 2022-02-04 15:15:36,827:INFO:ML Usecase: classification
- 2022-02-04 15:15:36,827:INFO:version 2.3.6
- 2022-02-04 15:15:36,827:INFO:Initializing setup()
- 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)
- 2022-02-04 15:15:36,827:INFO:Checking environment
- 2022-02-04 15:15:36,827:INFO:python_version: 3.8.12
- 2022-02-04 15:15:36,828:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 15:15:36,828:INFO:machine: AMD64
- 2022-02-04 15:15:36,828:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 15:15:36,828:INFO:Memory: svmem(total=68629372928, available=43907321856, percent=36.0, used=24722051072, free=43907321856)
- 2022-02-04 15:15:36,828:INFO:Physical Core: 16
- 2022-02-04 15:15:36,828:INFO:Logical Core: 32
- 2022-02-04 15:15:36,828:INFO:Checking libraries
- 2022-02-04 15:15:36,828:INFO:pd==1.3.5
- 2022-02-04 15:15:36,828:INFO:numpy==1.21.5
- 2022-02-04 15:15:36,828:INFO:sklearn==0.23.2
- 2022-02-04 15:15:36,828:INFO:lightgbm==3.3.2
- 2022-02-04 15:15:36,828:INFO:catboost==1.0.4
- 2022-02-04 15:15:36,828:INFO:xgboost==1.5.2
- 2022-02-04 15:15:36,828:INFO:mlflow==1.23.1
- 2022-02-04 15:15:36,828:INFO:Checking Exceptions
- 2022-02-04 15:15:36,828:INFO:Declaring global variables
- 2022-02-04 15:15:36,828:INFO:USI: a197
- 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'}
- 2022-02-04 15:15:36,828:INFO:Preparing display monitor
- 2022-02-04 15:15:36,828:INFO:Preparing display monitor
- 2022-02-04 15:15:36,836:INFO:Importing libraries
- 2022-02-04 15:15:36,837:INFO:Copying data for preprocessing
- 2022-02-04 15:15:36,842:INFO:Declaring preprocessing parameters
- 2022-02-04 15:15:36,843:WARNING:cuML not found
- 2022-02-04 15:15:36,843:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 15:15:36,846:INFO:Creating preprocessing pipeline
- 2022-02-04 15:15:36,900:INFO:Preprocessing pipeline created successfully
- 2022-02-04 15:15:36,901:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 15:15:36,901:INFO:Creating global containers
- 2022-02-04 15:15:36,901:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 15:15:38,527:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 15:15:38,563:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 15:15:38,564:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 15:15:38,565:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 15:15:38,584:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 15:15:38,588:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 15:15:38,745:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 15:15:38,805:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 15:15:38,807:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 15:15:38,808:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 15:15:38,838:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 15:15:38,845:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 15:15:39,014:INFO:Creating grid variables
- 2022-02-04 15:15:39,027:INFO:create_model_container: 0
- 2022-02-04 15:15:39,027:INFO:master_model_container: 0
- 2022-02-04 15:15:39,028:INFO:display_container: 1
- 2022-02-04 15:15:39,033:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:15:39,034:INFO:setup() succesfully completed......................................
- 2022-02-04 15:15:41,539:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:15:41,539:INFO:Checking exceptions
- 2022-02-04 15:15:41,539:INFO:Preparing display monitor
- 2022-02-04 15:15:41,550:INFO:Importing libraries
- 2022-02-04 15:15:41,551:INFO:Copying training dataset
- 2022-02-04 15:15:41,552:INFO:Defining folds
- 2022-02-04 15:15:41,552:INFO:Declaring metric variables
- 2022-02-04 15:15:41,557:INFO:Importing untrained model
- 2022-02-04 15:15:41,562:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:15:41,572:INFO:Starting cross validation
- 2022-02-04 15:15:41,573:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:16:16,847:INFO:Calculating mean and std
- 2022-02-04 15:16:16,848:INFO:Creating metrics dataframe
- 2022-02-04 15:16:16,857:INFO:Finalizing model
- 2022-02-04 15:16:20,218:INFO:Uploading results into container
- 2022-02-04 15:16:20,218:INFO:Uploading model into container now
- 2022-02-04 15:16:20,226:INFO:create_model_container: 1
- 2022-02-04 15:16:20,226:INFO:master_model_container: 1
- 2022-02-04 15:16:20,226:INFO:display_container: 2
- 2022-02-04 15:16:20,228:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:16:20,228:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:23:48,139:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:23:48,140:INFO:Checking exceptions
- 2022-02-04 15:23:48,140:INFO:Preparing display monitor
- 2022-02-04 15:23:48,151:INFO:Importing libraries
- 2022-02-04 15:23:48,151:INFO:Copying training dataset
- 2022-02-04 15:23:48,153:INFO:Defining folds
- 2022-02-04 15:23:48,153:INFO:Declaring metric variables
- 2022-02-04 15:23:48,158:INFO:Importing untrained model
- 2022-02-04 15:23:48,163:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:23:48,173:INFO:Starting cross validation
- 2022-02-04 15:23:48,174:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:24:23,826:INFO:Calculating mean and std
- 2022-02-04 15:24:23,827:INFO:Creating metrics dataframe
- 2022-02-04 15:24:23,836:INFO:Finalizing model
- 2022-02-04 15:24:28,116:INFO:Uploading results into container
- 2022-02-04 15:24:28,116:INFO:Uploading model into container now
- 2022-02-04 15:24:28,124:INFO:create_model_container: 2
- 2022-02-04 15:24:28,124:INFO:master_model_container: 2
- 2022-02-04 15:24:28,124:INFO:display_container: 3
- 2022-02-04 15:24:28,125:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:24:28,125:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:24:50,660:INFO:Initializing evaluate_model()
- 2022-02-04 15:24:50,660:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-04 15:24:50,672:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:24:50,672:INFO:Checking exceptions
- 2022-02-04 15:24:50,674:INFO:Preparing display monitor
- 2022-02-04 15:24:50,678:INFO:Preloading libraries
- 2022-02-04 15:24:50,778:INFO:Copying training dataset
- 2022-02-04 15:24:50,779:INFO:Copying test dataset
- 2022-02-04 15:24:50,780:INFO:Plot type: parameter
- 2022-02-04 15:24:50,788:INFO:Visual Rendered Successfully
- 2022-02-04 15:24:50,894:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:25:19,632:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:25:19,632:INFO:Checking exceptions
- 2022-02-04 15:25:19,634:INFO:Preparing display monitor
- 2022-02-04 15:25:19,638:INFO:Preloading libraries
- 2022-02-04 15:25:19,731:INFO:Copying training dataset
- 2022-02-04 15:25:19,732:INFO:Copying test dataset
- 2022-02-04 15:25:19,733:INFO:Plot type: error
- 2022-02-04 15:25:19,737:INFO:Initializing get_config()
- 2022-02-04 15:25:19,737:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:25:19,740:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:25:19,740:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:25:19,748:INFO:Fitting Model
- 2022-02-04 15:25:19,749:INFO:Scoring test/hold-out set
- 2022-02-04 15:25:19,890:INFO:Visual Rendered Successfully
- 2022-02-04 15:25:19,989:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:25:24,331:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:25:24,331:INFO:Checking exceptions
- 2022-02-04 15:25:24,333:INFO:Preparing display monitor
- 2022-02-04 15:25:24,337:INFO:Preloading libraries
- 2022-02-04 15:25:24,428:INFO:Copying training dataset
- 2022-02-04 15:25:24,430:INFO:Copying test dataset
- 2022-02-04 15:25:24,430:INFO:Plot type: class_report
- 2022-02-04 15:25:24,434:INFO:Initializing get_config()
- 2022-02-04 15:25:24,434:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:25:24,437:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:25:24,437:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:25:24,445:INFO:Fitting Model
- 2022-02-04 15:25:24,447:INFO:Scoring test/hold-out set
- 2022-02-04 15:25:24,612:INFO:Visual Rendered Successfully
- 2022-02-04 15:25:24,707:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:26:05,671:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:26:05,671:INFO:Checking exceptions
- 2022-02-04 15:26:05,673:INFO:Preparing display monitor
- 2022-02-04 15:26:05,677:INFO:Preloading libraries
- 2022-02-04 15:26:05,773:INFO:Copying training dataset
- 2022-02-04 15:26:05,774:INFO:Copying test dataset
- 2022-02-04 15:26:05,774:INFO:Plot type: feature_all
- 2022-02-04 15:26:05,779:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-04 15:26:05,889:INFO:Visual Rendered Successfully
- 2022-02-04 15:26:05,989:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:26:10,817:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=3750,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=rfe, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 15:26:10,817:INFO:Checking exceptions
- 2022-02-04 15:26:10,819:INFO:Preparing display monitor
- 2022-02-04 15:26:10,823:INFO:Preloading libraries
- 2022-02-04 15:26:10,915:INFO:Copying training dataset
- 2022-02-04 15:26:10,916:INFO:Copying test dataset
- 2022-02-04 15:26:10,916:INFO:Plot type: rfe
- 2022-02-04 15:26:10,931:INFO:Fitting Model
- 2022-02-04 15:33:43,230:INFO:PyCaret Supervised Module
- 2022-02-04 15:33:43,230:INFO:ML Usecase: classification
- 2022-02-04 15:33:43,230:INFO:version 2.3.6
- 2022-02-04 15:33:43,230:INFO:Initializing setup()
- 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)
- 2022-02-04 15:33:43,230:INFO:Checking environment
- 2022-02-04 15:33:43,230:INFO:python_version: 3.8.12
- 2022-02-04 15:33:43,230:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 15:33:43,230:INFO:machine: AMD64
- 2022-02-04 15:33:43,230:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 15:33:43,231:INFO:Memory: svmem(total=68629372928, available=44785848320, percent=34.7, used=23843524608, free=44785848320)
- 2022-02-04 15:33:43,231:INFO:Physical Core: 16
- 2022-02-04 15:33:43,231:INFO:Logical Core: 32
- 2022-02-04 15:33:43,231:INFO:Checking libraries
- 2022-02-04 15:33:43,231:INFO:pd==1.3.5
- 2022-02-04 15:33:43,231:INFO:numpy==1.21.5
- 2022-02-04 15:33:43,231:INFO:sklearn==0.23.2
- 2022-02-04 15:33:43,231:INFO:lightgbm==3.3.2
- 2022-02-04 15:33:43,243:INFO:catboost==1.0.4
- 2022-02-04 15:33:43,336:INFO:xgboost==1.5.2
- 2022-02-04 15:33:43,632:INFO:mlflow==1.23.1
- 2022-02-04 15:33:43,633:INFO:Checking Exceptions
- 2022-02-04 15:33:43,633:INFO:Declaring global variables
- 2022-02-04 15:33:43,633:INFO:USI: 229f
- 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'}
- 2022-02-04 15:33:43,633:INFO:Preparing display monitor
- 2022-02-04 15:33:43,633:INFO:Preparing display monitor
- 2022-02-04 15:33:43,642:INFO:Importing libraries
- 2022-02-04 15:33:43,643:INFO:Copying data for preprocessing
- 2022-02-04 15:33:43,648:INFO:Declaring preprocessing parameters
- 2022-02-04 15:33:43,649:WARNING:cuML not found
- 2022-02-04 15:33:43,649:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 15:33:43,652:INFO:Creating preprocessing pipeline
- 2022-02-04 15:33:43,704:INFO:Preprocessing pipeline created successfully
- 2022-02-04 15:33:43,704:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 15:33:43,704:INFO:Creating global containers
- 2022-02-04 15:33:43,706:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 15:33:45,997:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 15:33:46,032:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 15:33:46,034:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 15:33:46,035:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 15:33:46,055:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 15:33:46,059:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 15:33:46,251:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 15:33:46,312:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 15:33:46,313:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 15:33:46,314:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 15:33:46,348:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 15:33:46,353:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 15:33:46,473:INFO:Creating grid variables
- 2022-02-04 15:33:46,487:INFO:create_model_container: 0
- 2022-02-04 15:33:46,487:INFO:master_model_container: 0
- 2022-02-04 15:33:46,487:INFO:display_container: 1
- 2022-02-04 15:33:46,493:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:33:46,494:INFO:setup() succesfully completed......................................
- 2022-02-04 15:33:55,377:INFO:Initializing create_model()
- 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})
- 2022-02-04 15:33:55,378:INFO:Checking exceptions
- 2022-02-04 15:33:55,378:INFO:Preparing display monitor
- 2022-02-04 15:33:55,389:INFO:Importing libraries
- 2022-02-04 15:33:55,389:INFO:Copying training dataset
- 2022-02-04 15:33:55,390:INFO:Defining folds
- 2022-02-04 15:33:55,390:INFO:Declaring metric variables
- 2022-02-04 15:33:55,396:INFO:Importing untrained model
- 2022-02-04 15:33:55,401:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:33:55,410:INFO:Starting cross validation
- 2022-02-04 15:33:55,411:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:34:27,741:INFO:Calculating mean and std
- 2022-02-04 15:34:27,742:INFO:Creating metrics dataframe
- 2022-02-04 15:34:27,753:INFO:Finalizing model
- 2022-02-04 15:34:31,084:INFO:Uploading results into container
- 2022-02-04 15:34:31,085:INFO:Uploading model into container now
- 2022-02-04 15:34:31,093:INFO:create_model_container: 1
- 2022-02-04 15:34:31,093:INFO:master_model_container: 1
- 2022-02-04 15:34:31,093:INFO:display_container: 2
- 2022-02-04 15:34:31,094:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:34:31,094:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:34:51,425:INFO:Initializing tune_model()
- 2022-02-04 15:34:51,425:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 15:34:51,425:INFO:Checking exceptions
- 2022-02-04 15:34:51,426:INFO:Preparing display monitor
- 2022-02-04 15:34:51,437:INFO:Copying training dataset
- 2022-02-04 15:34:51,438:INFO:Checking base model
- 2022-02-04 15:34:51,438:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 15:34:51,445:INFO:Declaring metric variables
- 2022-02-04 15:34:51,450:INFO:Defining Hyperparameters
- 2022-02-04 15:34:51,547:INFO:custom_grid: {'actual_estimator__max_depth': [16, 15, 14, 13, 12]}
- 2022-02-04 15:34:51,547:INFO:Tuning with n_jobs=1
- 2022-02-04 15:34:51,547:INFO:Initializing RandomizedSearchCV
- 2022-02-04 15:37:16,408:INFO:best_params: {'actual_estimator__max_depth': 16}
- 2022-02-04 15:37:16,409:INFO:Hyperparameter search completed
- 2022-02-04 15:37:16,409:INFO:SubProcess create_model() called ==================================
- 2022-02-04 15:37:16,410:INFO:Initializing create_model()
- 2022-02-04 15:37:16,410:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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 0x0000014CC65C5FA0>, kwargs={'max_depth': 16})
- 2022-02-04 15:37:16,410:INFO:Checking exceptions
- 2022-02-04 15:37:16,410:INFO:Importing libraries
- 2022-02-04 15:37:16,410:INFO:Copying training dataset
- 2022-02-04 15:37:16,411:INFO:Defining folds
- 2022-02-04 15:37:16,412:INFO:Declaring metric variables
- 2022-02-04 15:37:16,418:INFO:Importing untrained model
- 2022-02-04 15:37:16,419:INFO:Declaring custom model
- 2022-02-04 15:37:16,426:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 15:37:16,442:INFO:Starting cross validation
- 2022-02-04 15:37:16,443:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 15:37:50,240:INFO:Calculating mean and std
- 2022-02-04 15:37:50,241:INFO:Creating metrics dataframe
- 2022-02-04 15:37:50,251:INFO:Finalizing model
- 2022-02-04 15:37:53,479:INFO:Uploading results into container
- 2022-02-04 15:37:53,479:INFO:Uploading model into container now
- 2022-02-04 15:37:53,479:INFO:create_model_container: 2
- 2022-02-04 15:37:53,480:INFO:master_model_container: 2
- 2022-02-04 15:37:53,480:INFO:display_container: 3
- 2022-02-04 15:37:53,481:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:37:53,481:INFO:create_model() succesfully completed......................................
- 2022-02-04 15:37:53,566:INFO:SubProcess create_model() end ==================================
- 2022-02-04 15:37:53,575:INFO:create_model_container: 2
- 2022-02-04 15:37:53,575:INFO:master_model_container: 2
- 2022-02-04 15:37:53,575:INFO:display_container: 3
- 2022-02-04 15:37:53,576:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 15:37:53,576:INFO:tune_model() succesfully completed......................................
- 2022-02-04 15:38:12,611:INFO:Initializing evaluate_model()
- 2022-02-04 15:38:12,611:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-04 15:38:12,625:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:38:12,625:INFO:Checking exceptions
- 2022-02-04 15:38:12,627:INFO:Preparing display monitor
- 2022-02-04 15:38:12,631:INFO:Preloading libraries
- 2022-02-04 15:38:12,724:INFO:Copying training dataset
- 2022-02-04 15:38:12,725:INFO:Copying test dataset
- 2022-02-04 15:38:12,725:INFO:Plot type: parameter
- 2022-02-04 15:38:12,733:INFO:Visual Rendered Successfully
- 2022-02-04 15:38:12,821:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:38:15,395:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:38:15,395:INFO:Checking exceptions
- 2022-02-04 15:38:15,397:INFO:Preparing display monitor
- 2022-02-04 15:38:15,401:INFO:Preloading libraries
- 2022-02-04 15:38:15,494:INFO:Copying training dataset
- 2022-02-04 15:38:15,495:INFO:Copying test dataset
- 2022-02-04 15:38:15,496:INFO:Plot type: confusion_matrix
- 2022-02-04 15:38:15,500:INFO:Initializing get_config()
- 2022-02-04 15:38:15,500:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:38:15,504:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:38:15,504:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:38:15,517:INFO:Fitting Model
- 2022-02-04 15:38:15,518:INFO:Scoring test/hold-out set
- 2022-02-04 15:38:15,681:INFO:Visual Rendered Successfully
- 2022-02-04 15:38:15,768:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:38:21,104:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:38:21,104:INFO:Checking exceptions
- 2022-02-04 15:38:21,106:INFO:Preparing display monitor
- 2022-02-04 15:38:21,109:INFO:Preloading libraries
- 2022-02-04 15:38:21,200:INFO:Copying training dataset
- 2022-02-04 15:38:21,201:INFO:Copying test dataset
- 2022-02-04 15:38:21,201:INFO:Plot type: class_report
- 2022-02-04 15:38:21,205:INFO:Initializing get_config()
- 2022-02-04 15:38:21,205:INFO:get_config(variable=prep_pipe)
- 2022-02-04 15:38:21,208:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 15:38:21,208:INFO:get_config() succesfully completed......................................
- 2022-02-04 15:38:21,216:INFO:Fitting Model
- 2022-02-04 15:38:21,217:INFO:Scoring test/hold-out set
- 2022-02-04 15:38:21,379:INFO:Visual Rendered Successfully
- 2022-02-04 15:38:21,472:INFO:plot_model() succesfully completed......................................
- 2022-02-04 15:38:31,617:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 15:38:31,617:INFO:Checking exceptions
- 2022-02-04 15:38:31,620:INFO:Preparing display monitor
- 2022-02-04 15:38:31,623:INFO:Preloading libraries
- 2022-02-04 15:38:31,713:INFO:Copying training dataset
- 2022-02-04 15:38:31,714:INFO:Copying test dataset
- 2022-02-04 15:38:31,715:INFO:Plot type: feature_all
- 2022-02-04 15:38:31,719:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-04 15:38:31,827:INFO:Visual Rendered Successfully
- 2022-02-04 15:38:31,915:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:03:12,528:INFO:Initializing create_model()
- 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})
- 2022-02-04 16:03:12,528:INFO:Checking exceptions
- 2022-02-04 16:03:12,528:INFO:Preparing display monitor
- 2022-02-04 16:03:12,541:INFO:Importing libraries
- 2022-02-04 16:03:12,541:INFO:Copying training dataset
- 2022-02-04 16:03:12,542:INFO:Defining folds
- 2022-02-04 16:03:12,542:INFO:Declaring metric variables
- 2022-02-04 16:03:12,547:INFO:Importing untrained model
- 2022-02-04 16:03:12,552:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:03:12,562:INFO:Starting cross validation
- 2022-02-04 16:03:12,563:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:03:50,223:INFO:Calculating mean and std
- 2022-02-04 16:03:50,224:INFO:Creating metrics dataframe
- 2022-02-04 16:03:50,234:INFO:Finalizing model
- 2022-02-04 16:03:54,493:INFO:Uploading results into container
- 2022-02-04 16:03:54,493:INFO:Uploading model into container now
- 2022-02-04 16:03:54,501:INFO:create_model_container: 3
- 2022-02-04 16:03:54,501:INFO:master_model_container: 3
- 2022-02-04 16:03:54,501:INFO:display_container: 4
- 2022-02-04 16:03:54,503:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 16:03:54,503:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:16:08,485:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=feature, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 16:16:08,485:INFO:Checking exceptions
- 2022-02-04 16:16:08,487:INFO:Preparing display monitor
- 2022-02-04 16:16:08,491:INFO:Preloading libraries
- 2022-02-04 16:16:08,581:INFO:Copying training dataset
- 2022-02-04 16:16:08,583:INFO:Copying test dataset
- 2022-02-04 16:16:08,583:INFO:Plot type: feature
- 2022-02-04 16:16:08,587:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-04 16:16:08,665:INFO:Visual Rendered Successfully
- 2022-02-04 16:16:08,769:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:16:14,942:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 16:16:14,942:INFO:Checking exceptions
- 2022-02-04 16:16:14,944:INFO:Preparing display monitor
- 2022-02-04 16:16:14,948:INFO:Preloading libraries
- 2022-02-04 16:16:15,039:INFO:Copying training dataset
- 2022-02-04 16:16:15,040:INFO:Copying test dataset
- 2022-02-04 16:16:15,040:INFO:Plot type: gain
- 2022-02-04 16:16:15,044:INFO:Generating predictions / predict_proba on X_test
- 2022-02-04 16:16:15,267:INFO:Visual Rendered Successfully
- 2022-02-04 16:16:15,350:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:16:19,871:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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)
- 2022-02-04 16:16:19,871:INFO:Checking exceptions
- 2022-02-04 16:16:19,873:INFO:Preparing display monitor
- 2022-02-04 16:16:19,877:INFO:Preloading libraries
- 2022-02-04 16:16:19,973:INFO:Copying training dataset
- 2022-02-04 16:16:19,974:INFO:Copying test dataset
- 2022-02-04 16:16:19,975:INFO:Plot type: lift
- 2022-02-04 16:16:19,979:INFO:Generating predictions / predict_proba on X_test
- 2022-02-04 16:16:20,211:INFO:Visual Rendered Successfully
- 2022-02-04 16:16:20,306:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:16:24,343:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=ks, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 16:16:24,343:INFO:Checking exceptions
- 2022-02-04 16:16:24,345:INFO:Preparing display monitor
- 2022-02-04 16:16:24,349:INFO:Preloading libraries
- 2022-02-04 16:16:24,442:INFO:Copying training dataset
- 2022-02-04 16:16:24,442:INFO:Copying test dataset
- 2022-02-04 16:16:24,443:INFO:Plot type: ks
- 2022-02-04 16:16:24,447:INFO:Generating predictions / predict_proba on X_test
- 2022-02-04 16:16:24,720:INFO:Visual Rendered Successfully
- 2022-02-04 16:16:24,805:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:16:26,680:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=tree, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 16:16:26,680:INFO:Checking exceptions
- 2022-02-04 16:16:39,192:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=manifold, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-04 16:16:39,193:INFO:Checking exceptions
- 2022-02-04 16:16:39,194:INFO:Preparing display monitor
- 2022-02-04 16:16:39,198:INFO:Preloading libraries
- 2022-02-04 16:16:39,288:INFO:Copying training dataset
- 2022-02-04 16:16:39,289:INFO:Copying test dataset
- 2022-02-04 16:16:39,289:INFO:Plot type: manifold
- 2022-02-04 16:16:39,347:INFO:Fitting & Transforming Model
- 2022-02-04 16:18:47,644:INFO:Visual Rendered Successfully
- 2022-02-04 16:18:47,762:INFO:plot_model() succesfully completed......................................
- 2022-02-04 16:19:32,640:INFO:Initializing tune_model()
- 2022-02-04 16:19:32,641:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:19:32,641:INFO:Checking exceptions
- 2022-02-04 16:19:32,641:INFO:Preparing display monitor
- 2022-02-04 16:19:32,652:INFO:Copying training dataset
- 2022-02-04 16:19:32,654:INFO:Checking base model
- 2022-02-04 16:19:32,654:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:19:32,659:INFO:Declaring metric variables
- 2022-02-04 16:19:32,664:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:19:32,784:INFO:Tuning with n_jobs=1
- 2022-02-04 16:19:32,784:INFO:Initializing RandomizedSearchCV
- 2022-02-04 16:22:48,394:INFO:best_params: {'actual_estimator__max_depth': 16, 'actual_estimator__learning_rate': 0.1}
- 2022-02-04 16:22:48,395:INFO:Hyperparameter search completed
- 2022-02-04 16:22:48,395:INFO:SubProcess create_model() called ==================================
- 2022-02-04 16:22:48,396:INFO:Initializing create_model()
- 2022-02-04 16:22:48,396:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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 0x0000014CADC07850>, kwargs={'max_depth': 16, 'learning_rate': 0.1})
- 2022-02-04 16:22:48,396:INFO:Checking exceptions
- 2022-02-04 16:22:48,396:INFO:Importing libraries
- 2022-02-04 16:22:48,396:INFO:Copying training dataset
- 2022-02-04 16:22:48,398:INFO:Defining folds
- 2022-02-04 16:22:48,398:INFO:Declaring metric variables
- 2022-02-04 16:22:48,405:INFO:Importing untrained model
- 2022-02-04 16:22:48,405:INFO:Declaring custom model
- 2022-02-04 16:22:48,413:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:22:48,426:INFO:Starting cross validation
- 2022-02-04 16:22:48,427:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:23:37,960:INFO:Calculating mean and std
- 2022-02-04 16:23:37,961:INFO:Creating metrics dataframe
- 2022-02-04 16:23:37,971:INFO:Finalizing model
- 2022-02-04 16:23:42,083:INFO:Uploading results into container
- 2022-02-04 16:23:42,084:INFO:Uploading model into container now
- 2022-02-04 16:23:42,084:INFO:create_model_container: 4
- 2022-02-04 16:23:42,084:INFO:master_model_container: 4
- 2022-02-04 16:23:42,084:INFO:display_container: 5
- 2022-02-04 16:23:42,085:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.1, max_delta_step=0,
- max_depth=16, max_leaves=255, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:23:42,085:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:23:42,208:INFO:SubProcess create_model() end ==================================
- 2022-02-04 16:23:42,216:INFO:create_model_container: 4
- 2022-02-04 16:23:42,216:INFO:master_model_container: 4
- 2022-02-04 16:23:42,216:INFO:display_container: 5
- 2022-02-04 16:23:42,218:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.1, max_delta_step=0,
- max_depth=16, max_leaves=255, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:23:42,218:INFO:tune_model() succesfully completed......................................
- 2022-02-04 16:25:40,710:INFO:Initializing tune_model()
- 2022-02-04 16:25:40,710:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:25:40,710:INFO:Checking exceptions
- 2022-02-04 16:25:40,711:INFO:Preparing display monitor
- 2022-02-04 16:25:40,721:INFO:Copying training dataset
- 2022-02-04 16:25:40,722:INFO:Checking base model
- 2022-02-04 16:25:40,722:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:25:40,728:INFO:Declaring metric variables
- 2022-02-04 16:25:40,733:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:25:40,859:INFO:Tuning with n_jobs=1
- 2022-02-04 16:25:40,859:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 16:32:19,442:INFO:Hyperparameter search completed
- 2022-02-04 16:32:19,443:INFO:SubProcess create_model() called ==================================
- 2022-02-04 16:32:19,444:INFO:Initializing create_model()
- 2022-02-04 16:32:19,444:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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 0x0000014CACE227F0>, kwargs={'max_leaves': 2048, 'max_depth': 13, 'learning_rate': 0.5})
- 2022-02-04 16:32:19,444:INFO:Checking exceptions
- 2022-02-04 16:32:19,444:INFO:Importing libraries
- 2022-02-04 16:32:19,444:INFO:Copying training dataset
- 2022-02-04 16:32:19,445:INFO:Defining folds
- 2022-02-04 16:32:19,445:INFO:Declaring metric variables
- 2022-02-04 16:32:19,452:INFO:Importing untrained model
- 2022-02-04 16:32:19,452:INFO:Declaring custom model
- 2022-02-04 16:32:19,460:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:32:19,473:INFO:Starting cross validation
- 2022-02-04 16:32:19,475:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:32:42,004:INFO:Calculating mean and std
- 2022-02-04 16:32:42,004:INFO:Creating metrics dataframe
- 2022-02-04 16:32:42,014:INFO:Finalizing model
- 2022-02-04 16:32:44,608:INFO:Uploading results into container
- 2022-02-04 16:32:44,609:INFO:Uploading model into container now
- 2022-02-04 16:32:44,609:INFO:create_model_container: 5
- 2022-02-04 16:32:44,609:INFO:master_model_container: 5
- 2022-02-04 16:32:44,609:INFO:display_container: 6
- 2022-02-04 16:32:44,610:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.5, max_delta_step=0,
- max_depth=13, max_leaves=2048, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:32:44,610:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:32:44,725:INFO:SubProcess create_model() end ==================================
- 2022-02-04 16:32:44,733:INFO:create_model_container: 5
- 2022-02-04 16:32:44,733:INFO:master_model_container: 5
- 2022-02-04 16:32:44,734:INFO:display_container: 6
- 2022-02-04 16:32:44,735:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.5, max_delta_step=0,
- max_depth=13, max_leaves=2048, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8974, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:32:44,735:INFO:tune_model() succesfully completed......................................
- 2022-02-04 16:37:06,383:INFO:Initializing tune_model()
- 2022-02-04 16:37:06,384:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=255,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=8974,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:37:06,384:INFO:Checking exceptions
- 2022-02-04 16:37:06,384:INFO:Preparing display monitor
- 2022-02-04 16:37:06,396:INFO:Copying training dataset
- 2022-02-04 16:37:06,397:INFO:Checking base model
- 2022-02-04 16:37:06,398:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:37:06,403:INFO:Declaring metric variables
- 2022-02-04 16:37:06,408:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:37:06,533:INFO:Tuning with n_jobs=1
- 2022-02-04 16:37:06,533:INFO:Initializing RandomizedSearchCV
- 2022-02-04 16:38:36,171:INFO:PyCaret Supervised Module
- 2022-02-04 16:38:36,172:INFO:ML Usecase: classification
- 2022-02-04 16:38:36,172:INFO:version 2.3.6
- 2022-02-04 16:38:36,172:INFO:Initializing setup()
- 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)
- 2022-02-04 16:38:36,172:INFO:Checking environment
- 2022-02-04 16:38:36,172:INFO:python_version: 3.8.12
- 2022-02-04 16:38:36,172:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 16:38:36,172:INFO:machine: AMD64
- 2022-02-04 16:38:36,172:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 16:38:36,172:INFO:Memory: svmem(total=68629372928, available=42952548352, percent=37.4, used=25676824576, free=42952548352)
- 2022-02-04 16:38:36,172:INFO:Physical Core: 16
- 2022-02-04 16:38:36,172:INFO:Logical Core: 32
- 2022-02-04 16:38:36,172:INFO:Checking libraries
- 2022-02-04 16:38:36,172:INFO:pd==1.3.5
- 2022-02-04 16:38:36,172:INFO:numpy==1.21.5
- 2022-02-04 16:38:36,173:INFO:sklearn==0.23.2
- 2022-02-04 16:38:36,173:INFO:lightgbm==3.3.2
- 2022-02-04 16:38:36,184:INFO:catboost==1.0.4
- 2022-02-04 16:38:36,277:INFO:xgboost==1.5.2
- 2022-02-04 16:38:36,602:INFO:mlflow==1.23.1
- 2022-02-04 16:38:36,603:INFO:Checking Exceptions
- 2022-02-04 16:38:36,603:INFO:Declaring global variables
- 2022-02-04 16:38:36,603:INFO:USI: 926f
- 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'}
- 2022-02-04 16:38:36,603:INFO:Preparing display monitor
- 2022-02-04 16:38:36,603:INFO:Preparing display monitor
- 2022-02-04 16:38:36,612:INFO:Importing libraries
- 2022-02-04 16:38:36,612:INFO:Copying data for preprocessing
- 2022-02-04 16:38:36,618:INFO:Declaring preprocessing parameters
- 2022-02-04 16:38:36,619:WARNING:cuML not found
- 2022-02-04 16:38:36,619:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 16:38:36,622:INFO:Creating preprocessing pipeline
- 2022-02-04 16:38:36,675:INFO:Preprocessing pipeline created successfully
- 2022-02-04 16:38:36,675:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 16:38:36,675:INFO:Creating global containers
- 2022-02-04 16:38:36,677:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 16:38:38,189:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 16:38:38,224:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 16:38:38,226:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 16:38:38,227:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 16:38:38,247:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 16:38:38,251:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 16:38:38,476:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 16:38:38,536:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 16:38:38,537:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 16:38:38,538:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 16:38:38,569:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 16:38:38,575:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 16:38:38,695:INFO:Creating grid variables
- 2022-02-04 16:38:38,708:INFO:create_model_container: 0
- 2022-02-04 16:38:38,708:INFO:master_model_container: 0
- 2022-02-04 16:38:38,709:INFO:display_container: 1
- 2022-02-04 16:38:38,715:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 16:38:38,715:INFO:setup() succesfully completed......................................
- 2022-02-04 16:38:55,897:INFO:Initializing create_model()
- 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})
- 2022-02-04 16:38:55,897:INFO:Checking exceptions
- 2022-02-04 16:38:55,897:INFO:Preparing display monitor
- 2022-02-04 16:38:55,910:INFO:Importing libraries
- 2022-02-04 16:38:55,910:INFO:Copying training dataset
- 2022-02-04 16:38:55,911:INFO:Defining folds
- 2022-02-04 16:38:55,911:INFO:Declaring metric variables
- 2022-02-04 16:38:55,916:INFO:Importing untrained model
- 2022-02-04 16:38:55,922:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:38:55,933:INFO:Starting cross validation
- 2022-02-04 16:38:55,934:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:39:31,668:INFO:Calculating mean and std
- 2022-02-04 16:39:31,669:INFO:Creating metrics dataframe
- 2022-02-04 16:39:31,679:INFO:Finalizing model
- 2022-02-04 16:39:35,427:INFO:Uploading results into container
- 2022-02-04 16:39:35,427:INFO:Uploading model into container now
- 2022-02-04 16:39:35,434:INFO:create_model_container: 1
- 2022-02-04 16:39:35,435:INFO:master_model_container: 1
- 2022-02-04 16:39:35,435:INFO:display_container: 2
- 2022-02-04 16:39:35,436:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-04 16:39:35,436:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:42:06,253:INFO:Initializing tune_model()
- 2022-02-04 16:42:06,253:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:42:06,253:INFO:Checking exceptions
- 2022-02-04 16:42:06,254:INFO:Preparing display monitor
- 2022-02-04 16:42:06,264:INFO:Copying training dataset
- 2022-02-04 16:42:06,265:INFO:Checking base model
- 2022-02-04 16:42:06,266:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:42:06,271:INFO:Declaring metric variables
- 2022-02-04 16:42:06,276:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:42:06,378:INFO:Tuning with n_jobs=1
- 2022-02-04 16:42:06,378:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 16:49:56,502:INFO:Hyperparameter search completed
- 2022-02-04 16:49:56,502:INFO:SubProcess create_model() called ==================================
- 2022-02-04 16:49:56,503:INFO:Initializing create_model()
- 2022-02-04 16:49:56,503:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', 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 0x0000027B25238160>, kwargs={'max_leaves': 2048, 'max_depth': 16, 'learning_rate': 0.1})
- 2022-02-04 16:49:56,503:INFO:Checking exceptions
- 2022-02-04 16:49:56,503:INFO:Importing libraries
- 2022-02-04 16:49:56,503:INFO:Copying training dataset
- 2022-02-04 16:49:56,504:INFO:Defining folds
- 2022-02-04 16:49:56,504:INFO:Declaring metric variables
- 2022-02-04 16:49:56,512:INFO:Importing untrained model
- 2022-02-04 16:49:56,512:INFO:Declaring custom model
- 2022-02-04 16:49:56,519:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 16:49:56,532:INFO:Starting cross validation
- 2022-02-04 16:49:56,534:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 16:50:50,765:INFO:Calculating mean and std
- 2022-02-04 16:50:50,766:INFO:Creating metrics dataframe
- 2022-02-04 16:50:50,775:INFO:Finalizing model
- 2022-02-04 16:50:56,474:INFO:Uploading results into container
- 2022-02-04 16:50:56,474:INFO:Uploading model into container now
- 2022-02-04 16:50:56,474:INFO:create_model_container: 2
- 2022-02-04 16:50:56,474:INFO:master_model_container: 2
- 2022-02-04 16:50:56,474:INFO:display_container: 3
- 2022-02-04 16:50:56,475:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.1, max_delta_step=0,
- max_depth=16, max_leaves=2048, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=524, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:50:56,475:INFO:create_model() succesfully completed......................................
- 2022-02-04 16:50:56,569:INFO:SubProcess create_model() end ==================================
- 2022-02-04 16:50:56,577:INFO:create_model_container: 2
- 2022-02-04 16:50:56,577:INFO:master_model_container: 2
- 2022-02-04 16:50:56,577:INFO:display_container: 3
- 2022-02-04 16:50:56,578:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.1, max_delta_step=0,
- max_depth=16, max_leaves=2048, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=524, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 16:50:56,579:INFO:tune_model() succesfully completed......................................
- 2022-02-04 16:55:20,965:INFO:Initializing tune_model()
- 2022-02-04 16:55:20,965:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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})
- 2022-02-04 16:55:20,965:INFO:Checking exceptions
- 2022-02-04 16:55:20,966:INFO:Preparing display monitor
- 2022-02-04 16:55:20,977:INFO:Copying training dataset
- 2022-02-04 16:55:20,978:INFO:Checking base model
- 2022-02-04 16:55:20,978:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:55:20,985:INFO:Declaring metric variables
- 2022-02-04 16:55:20,989:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:55:21,093:INFO:Tuning with n_jobs=1
- 2022-02-04 16:55:21,093:INFO:Initializing RandomizedSearchCV
- 2022-02-04 16:56:20,429:INFO:Initializing tune_model()
- 2022-02-04 16:56:20,429:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=2048,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=524,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- 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={})
- 2022-02-04 16:56:20,429:INFO:Checking exceptions
- 2022-02-04 16:56:20,430:INFO:Preparing display monitor
- 2022-02-04 16:56:20,440:INFO:Copying training dataset
- 2022-02-04 16:56:20,442:INFO:Checking base model
- 2022-02-04 16:56:20,442:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 16:56:20,448:INFO:Declaring metric variables
- 2022-02-04 16:56:20,453:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 16:56:20,586:INFO:Tuning with n_jobs=1
- 2022-02-04 16:56:20,586:INFO:Initializing RandomizedSearchCV
- 2022-02-04 17:00:31,953:INFO:PyCaret Supervised Module
- 2022-02-04 17:00:31,954:INFO:ML Usecase: classification
- 2022-02-04 17:00:31,954:INFO:version 2.3.6
- 2022-02-04 17:00:31,954:INFO:Initializing setup()
- 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)
- 2022-02-04 17:00:31,954:INFO:Checking environment
- 2022-02-04 17:00:31,954:INFO:python_version: 3.8.12
- 2022-02-04 17:00:31,954:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 17:00:31,954:INFO:machine: AMD64
- 2022-02-04 17:00:31,954:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 17:00:31,954:INFO:Memory: svmem(total=68629372928, available=42844643328, percent=37.6, used=25784729600, free=42844643328)
- 2022-02-04 17:00:31,954:INFO:Physical Core: 16
- 2022-02-04 17:00:31,954:INFO:Logical Core: 32
- 2022-02-04 17:00:31,954:INFO:Checking libraries
- 2022-02-04 17:00:31,954:INFO:pd==1.3.5
- 2022-02-04 17:00:31,954:INFO:numpy==1.21.5
- 2022-02-04 17:00:31,954:INFO:sklearn==0.23.2
- 2022-02-04 17:00:31,954:INFO:lightgbm==3.3.2
- 2022-02-04 17:00:31,966:INFO:catboost==1.0.4
- 2022-02-04 17:00:32,058:INFO:xgboost==1.5.2
- 2022-02-04 17:00:32,334:INFO:mlflow==1.23.1
- 2022-02-04 17:00:32,334:INFO:Checking Exceptions
- 2022-02-04 17:00:32,334:INFO:Declaring global variables
- 2022-02-04 17:00:32,334:INFO:USI: ec72
- 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'}
- 2022-02-04 17:00:32,334:INFO:Preparing display monitor
- 2022-02-04 17:00:32,334:INFO:Preparing display monitor
- 2022-02-04 17:00:32,343:INFO:Importing libraries
- 2022-02-04 17:00:32,344:INFO:Copying data for preprocessing
- 2022-02-04 17:00:32,349:INFO:Declaring preprocessing parameters
- 2022-02-04 17:00:32,350:WARNING:cuML not found
- 2022-02-04 17:00:32,350:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 17:00:32,353:INFO:Creating preprocessing pipeline
- 2022-02-04 17:00:32,407:INFO:Preprocessing pipeline created successfully
- 2022-02-04 17:00:32,407:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 17:00:32,408:INFO:Creating global containers
- 2022-02-04 17:00:32,409:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 17:00:34,319:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 17:00:34,354:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 17:00:34,356:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 17:00:34,357:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 17:00:34,377:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 17:00:34,381:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 17:00:34,606:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 17:00:34,668:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 17:00:34,669:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 17:00:34,671:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 17:00:34,701:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 17:00:34,707:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 17:00:34,825:INFO:Creating grid variables
- 2022-02-04 17:00:34,838:INFO:create_model_container: 0
- 2022-02-04 17:00:34,838:INFO:master_model_container: 0
- 2022-02-04 17:00:34,839:INFO:display_container: 1
- 2022-02-04 17:00:34,845:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 17:00:34,845:INFO:setup() succesfully completed......................................
- 2022-02-04 17:00:47,482:INFO:Initializing create_model()
- 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})
- 2022-02-04 17:00:47,482:INFO:Checking exceptions
- 2022-02-04 17:00:47,482:INFO:Preparing display monitor
- 2022-02-04 17:00:47,495:INFO:Importing libraries
- 2022-02-04 17:00:47,495:INFO:Copying training dataset
- 2022-02-04 17:00:47,496:INFO:Defining folds
- 2022-02-04 17:00:47,496:INFO:Declaring metric variables
- 2022-02-04 17:00:47,501:INFO:Importing untrained model
- 2022-02-04 17:00:47,506:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 17:00:47,515:INFO:Starting cross validation
- 2022-02-04 17:00:47,517:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 17:00:50,378:INFO:Calculating mean and std
- 2022-02-04 17:00:50,379:INFO:Creating metrics dataframe
- 2022-02-04 17:00:50,389:INFO:Finalizing model
- 2022-02-04 17:00:50,703:INFO:Uploading results into container
- 2022-02-04 17:00:50,703:INFO:Uploading model into container now
- 2022-02-04 17:00:50,712:INFO:create_model_container: 1
- 2022-02-04 17:00:50,712:INFO:master_model_container: 1
- 2022-02-04 17:00:50,712:INFO:display_container: 2
- 2022-02-04 17:00:50,713:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 17:00:50,713:INFO:create_model() succesfully completed......................................
- 2022-02-04 17:01:13,080:INFO:Initializing tune_model()
- 2022-02-04 17:01:13,081:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-04 17:01:13,081:INFO:Checking exceptions
- 2022-02-04 17:01:13,081:INFO:Preparing display monitor
- 2022-02-04 17:01:13,092:INFO:Copying training dataset
- 2022-02-04 17:01:13,093:INFO:Checking base model
- 2022-02-04 17:01:13,093:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 17:01:13,098:INFO:Declaring metric variables
- 2022-02-04 17:01:13,104:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 17:01:13,208:INFO:Tuning with n_jobs=1
- 2022-02-04 17:01:13,208:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 17:06:14,581:INFO:Hyperparameter search completed
- 2022-02-04 17:06:14,581:INFO:SubProcess create_model() called ==================================
- 2022-02-04 17:06:14,582:INFO:Initializing create_model()
- 2022-02-04 17:06:14,582:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-04 17:06:14,582:INFO:Checking exceptions
- 2022-02-04 17:06:14,582:INFO:Importing libraries
- 2022-02-04 17:06:14,582:INFO:Copying training dataset
- 2022-02-04 17:06:14,583:INFO:Defining folds
- 2022-02-04 17:06:14,584:INFO:Declaring metric variables
- 2022-02-04 17:06:14,590:INFO:Importing untrained model
- 2022-02-04 17:06:14,591:INFO:Declaring custom model
- 2022-02-04 17:06:14,599:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 17:06:14,611:INFO:Starting cross validation
- 2022-02-04 17:06:14,613:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 17:06:55,887:INFO:Calculating mean and std
- 2022-02-04 17:06:55,888:INFO:Creating metrics dataframe
- 2022-02-04 17:06:55,898:INFO:Finalizing model
- 2022-02-04 17:06:59,997:INFO:Uploading results into container
- 2022-02-04 17:06:59,998:INFO:Uploading model into container now
- 2022-02-04 17:06:59,998:INFO:create_model_container: 2
- 2022-02-04 17:06:59,998:INFO:master_model_container: 2
- 2022-02-04 17:06:59,998:INFO:display_container: 3
- 2022-02-04 17:06:59,999:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, eta=0.05, gamma=0, gpu_id=0,
- importance_type=None, interaction_constraints='',
- learning_rate=0.300000012, max_delta_step=0, max_depth=32,
- max_leaves=255, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, ...)
- 2022-02-04 17:06:59,999:INFO:create_model() succesfully completed......................................
- 2022-02-04 17:07:00,097:INFO:SubProcess create_model() end ==================================
- 2022-02-04 17:07:00,105:INFO:create_model_container: 2
- 2022-02-04 17:07:00,105:INFO:master_model_container: 2
- 2022-02-04 17:07:00,105:INFO:display_container: 3
- 2022-02-04 17:07:00,106:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, eta=0.05, gamma=0, gpu_id=0,
- importance_type=None, interaction_constraints='',
- learning_rate=0.300000012, max_delta_step=0, max_depth=32,
- max_leaves=255, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, ...)
- 2022-02-04 17:07:00,106:INFO:tune_model() succesfully completed......................................
- 2022-02-04 17:10:08,398:INFO:Initializing tune_model()
- 2022-02-04 17:10:08,398:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=4, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8684, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-04 17:10:08,398:INFO:Checking exceptions
- 2022-02-04 17:10:08,399:INFO:Preparing display monitor
- 2022-02-04 17:10:08,409:INFO:Copying training dataset
- 2022-02-04 17:10:08,410:INFO:Checking base model
- 2022-02-04 17:10:08,411:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 17:10:08,417:INFO:Declaring metric variables
- 2022-02-04 17:10:08,421:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 17:10:08,520:INFO:Tuning with n_jobs=1
- 2022-02-04 17:10:08,520:INFO:Initializing RandomizedSearchCV
- 2022-02-04 17:11:10,654:INFO:PyCaret Supervised Module
- 2022-02-04 17:11:10,654:INFO:ML Usecase: classification
- 2022-02-04 17:11:10,655:INFO:version 2.3.6
- 2022-02-04 17:11:10,655:INFO:Initializing setup()
- 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)
- 2022-02-04 17:11:10,655:INFO:Checking environment
- 2022-02-04 17:11:10,655:INFO:python_version: 3.8.12
- 2022-02-04 17:11:10,655:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-04 17:11:10,655:INFO:machine: AMD64
- 2022-02-04 17:11:10,655:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-04 17:11:10,655:INFO:Memory: svmem(total=68629372928, available=42797850624, percent=37.6, used=25831522304, free=42797850624)
- 2022-02-04 17:11:10,655:INFO:Physical Core: 16
- 2022-02-04 17:11:10,655:INFO:Logical Core: 32
- 2022-02-04 17:11:10,655:INFO:Checking libraries
- 2022-02-04 17:11:10,655:INFO:pd==1.3.5
- 2022-02-04 17:11:10,655:INFO:numpy==1.21.5
- 2022-02-04 17:11:10,655:INFO:sklearn==0.23.2
- 2022-02-04 17:11:10,655:INFO:lightgbm==3.3.2
- 2022-02-04 17:11:10,666:INFO:catboost==1.0.4
- 2022-02-04 17:11:10,761:INFO:xgboost==1.5.2
- 2022-02-04 17:11:11,035:INFO:mlflow==1.23.1
- 2022-02-04 17:11:11,035:INFO:Checking Exceptions
- 2022-02-04 17:11:11,035:INFO:Declaring global variables
- 2022-02-04 17:11:11,035:INFO:USI: 79bd
- 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'}
- 2022-02-04 17:11:11,035:INFO:Preparing display monitor
- 2022-02-04 17:11:11,035:INFO:Preparing display monitor
- 2022-02-04 17:11:11,045:INFO:Importing libraries
- 2022-02-04 17:11:11,045:INFO:Copying data for preprocessing
- 2022-02-04 17:11:11,050:INFO:Declaring preprocessing parameters
- 2022-02-04 17:11:11,051:WARNING:cuML not found
- 2022-02-04 17:11:11,051:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-04 17:11:11,054:INFO:Creating preprocessing pipeline
- 2022-02-04 17:11:11,106:INFO:Preprocessing pipeline created successfully
- 2022-02-04 17:11:11,106:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-04 17:11:11,106:INFO:Creating global containers
- 2022-02-04 17:11:11,108:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-04 17:11:12,168:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 17:11:12,202:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 17:11:12,204:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 17:11:12,205:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 17:11:12,225:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 17:11:12,229:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 17:11:12,380:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-04 17:11:12,443:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-04 17:11:12,444:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-04 17:11:12,445:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-04 17:11:12,478:WARNING:Couldn't import cuml.linear_model
- 2022-02-04 17:11:12,486:WARNING:Couldn't import cuml.ensemble
- 2022-02-04 17:11:12,606:INFO:Creating grid variables
- 2022-02-04 17:11:12,620:INFO:create_model_container: 0
- 2022-02-04 17:11:12,620:INFO:master_model_container: 0
- 2022-02-04 17:11:12,621:INFO:display_container: 1
- 2022-02-04 17:11:12,626:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-04 17:11:12,626:INFO:setup() succesfully completed......................................
- 2022-02-04 17:11:24,301:INFO:Initializing create_model()
- 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})
- 2022-02-04 17:11:24,301:INFO:Checking exceptions
- 2022-02-04 17:11:24,301:INFO:Preparing display monitor
- 2022-02-04 17:11:24,312:INFO:Importing libraries
- 2022-02-04 17:11:24,312:INFO:Copying training dataset
- 2022-02-04 17:11:24,313:INFO:Defining folds
- 2022-02-04 17:11:24,313:INFO:Declaring metric variables
- 2022-02-04 17:11:24,318:INFO:Importing untrained model
- 2022-02-04 17:11:24,324:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 17:11:24,334:INFO:Starting cross validation
- 2022-02-04 17:11:24,335:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 17:11:35,859:INFO:Calculating mean and std
- 2022-02-04 17:11:35,860:INFO:Creating metrics dataframe
- 2022-02-04 17:11:35,870:INFO:Finalizing model
- 2022-02-04 17:11:37,147:INFO:Uploading results into container
- 2022-02-04 17:11:37,147:INFO:Uploading model into container now
- 2022-02-04 17:11:37,155:INFO:create_model_container: 1
- 2022-02-04 17:11:37,155:INFO:master_model_container: 1
- 2022-02-04 17:11:37,155:INFO:display_container: 2
- 2022-02-04 17:11:37,157:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 17:11:37,157:INFO:create_model() succesfully completed......................................
- 2022-02-04 17:11:54,479:INFO:Initializing tune_model()
- 2022-02-04 17:11:54,479:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-04 17:11:54,479:INFO:Checking exceptions
- 2022-02-04 17:11:54,480:INFO:Preparing display monitor
- 2022-02-04 17:11:54,490:INFO:Copying training dataset
- 2022-02-04 17:11:54,491:INFO:Checking base model
- 2022-02-04 17:11:54,491:INFO:Base model : Extreme Gradient Boosting
- 2022-02-04 17:11:54,496:INFO:Declaring metric variables
- 2022-02-04 17:11:54,501:INFO:Defining Hyperparameters
- 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]}
- 2022-02-04 17:11:54,595:INFO:Tuning with n_jobs=1
- 2022-02-04 17:11:54,595:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-04 17:29:01,658:INFO:Hyperparameter search completed
- 2022-02-04 17:29:01,658:INFO:SubProcess create_model() called ==================================
- 2022-02-04 17:29:01,659:INFO:Initializing create_model()
- 2022-02-04 17:29:01,659:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=255, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-04 17:29:01,659:INFO:Checking exceptions
- 2022-02-04 17:29:01,659:INFO:Importing libraries
- 2022-02-04 17:29:01,659:INFO:Copying training dataset
- 2022-02-04 17:29:01,661:INFO:Defining folds
- 2022-02-04 17:29:01,661:INFO:Declaring metric variables
- 2022-02-04 17:29:01,667:INFO:Importing untrained model
- 2022-02-04 17:29:01,667:INFO:Declaring custom model
- 2022-02-04 17:29:01,675:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-04 17:29:01,688:INFO:Starting cross validation
- 2022-02-04 17:29:01,689:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-04 17:31:23,895:INFO:Calculating mean and std
- 2022-02-04 17:31:23,896:INFO:Creating metrics dataframe
- 2022-02-04 17:31:23,905:INFO:Finalizing model
- 2022-02-04 17:31:39,416:INFO:Uploading results into container
- 2022-02-04 17:31:39,417:INFO:Uploading model into container now
- 2022-02-04 17:31:39,417:INFO:create_model_container: 2
- 2022-02-04 17:31:39,417:INFO:master_model_container: 2
- 2022-02-04 17:31:39,417:INFO:display_container: 3
- 2022-02-04 17:31:39,418:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 17:31:39,418:INFO:create_model() succesfully completed......................................
- 2022-02-04 17:31:39,495:INFO:SubProcess create_model() end ==================================
- 2022-02-04 17:31:39,503:INFO:create_model_container: 2
- 2022-02-04 17:31:39,503:INFO:master_model_container: 2
- 2022-02-04 17:31:39,503:INFO:display_container: 3
- 2022-02-04 17:31:39,504:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-04 17:31:39,504:INFO:tune_model() succesfully completed......................................
- 2022-02-07 08:13:52,179:INFO:Initializing evaluate_model()
- 2022-02-07 08:13:52,179:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 08:13:52,192:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:13:52,192:INFO:Checking exceptions
- 2022-02-07 08:13:52,196:INFO:Preparing display monitor
- 2022-02-07 08:13:52,200:INFO:Preloading libraries
- 2022-02-07 08:13:52,487:INFO:Copying training dataset
- 2022-02-07 08:13:52,489:INFO:Copying test dataset
- 2022-02-07 08:13:52,489:INFO:Plot type: parameter
- 2022-02-07 08:13:52,499:INFO:Visual Rendered Successfully
- 2022-02-07 08:13:52,587:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:14:47,246:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:14:47,247:INFO:Checking exceptions
- 2022-02-07 08:14:47,250:INFO:Preparing display monitor
- 2022-02-07 08:14:47,254:INFO:Preloading libraries
- 2022-02-07 08:14:47,533:INFO:Copying training dataset
- 2022-02-07 08:14:47,535:INFO:Copying test dataset
- 2022-02-07 08:14:47,535:INFO:Plot type: confusion_matrix
- 2022-02-07 08:14:47,542:INFO:Initializing get_config()
- 2022-02-07 08:14:47,542:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:14:47,545:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:14:47,545:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:14:47,556:INFO:Fitting Model
- 2022-02-07 08:14:47,558:INFO:Scoring test/hold-out set
- 2022-02-07 08:14:47,710:INFO:Visual Rendered Successfully
- 2022-02-07 08:14:47,799:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:16:55,028:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:16:55,028:INFO:Checking exceptions
- 2022-02-07 08:16:55,031:INFO:Preparing display monitor
- 2022-02-07 08:16:55,035:INFO:Preloading libraries
- 2022-02-07 08:16:55,319:INFO:Copying training dataset
- 2022-02-07 08:16:55,320:INFO:Copying test dataset
- 2022-02-07 08:16:55,320:INFO:Plot type: feature_all
- 2022-02-07 08:16:55,327:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-07 08:16:55,440:INFO:Visual Rendered Successfully
- 2022-02-07 08:16:55,522:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:20:54,526:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:20:54,526:INFO:Checking exceptions
- 2022-02-07 08:20:54,530:INFO:Preparing display monitor
- 2022-02-07 08:20:54,534:INFO:Preloading libraries
- 2022-02-07 08:20:54,830:INFO:Copying training dataset
- 2022-02-07 08:20:54,831:INFO:Copying test dataset
- 2022-02-07 08:20:54,831:INFO:Plot type: pr
- 2022-02-07 08:20:54,845:INFO:Fitting Model
- 2022-02-07 08:20:54,847:INFO:Scoring test/hold-out set
- 2022-02-07 08:20:54,982:INFO:Visual Rendered Successfully
- 2022-02-07 08:20:55,062:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:01,780:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:01,780:INFO:Checking exceptions
- 2022-02-07 08:21:01,783:INFO:Preparing display monitor
- 2022-02-07 08:21:01,787:INFO:Preloading libraries
- 2022-02-07 08:21:02,066:INFO:Copying training dataset
- 2022-02-07 08:21:02,067:INFO:Copying test dataset
- 2022-02-07 08:21:02,067:INFO:Plot type: parameter
- 2022-02-07 08:21:02,078:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:02,168:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:05,461:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:05,462:INFO:Checking exceptions
- 2022-02-07 08:21:05,465:INFO:Preparing display monitor
- 2022-02-07 08:21:05,469:INFO:Preloading libraries
- 2022-02-07 08:21:05,753:INFO:Copying training dataset
- 2022-02-07 08:21:05,754:INFO:Copying test dataset
- 2022-02-07 08:21:05,754:INFO:Plot type: auc
- 2022-02-07 08:21:05,760:INFO:Initializing get_config()
- 2022-02-07 08:21:05,761:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:21:05,764:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:21:05,764:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:21:05,771:INFO:Fitting Model
- 2022-02-07 08:21:05,773:INFO:Scoring test/hold-out set
- 2022-02-07 08:21:05,922:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:06,012:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:12,582:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:12,582:INFO:Checking exceptions
- 2022-02-07 08:21:12,585:INFO:Preparing display monitor
- 2022-02-07 08:21:12,589:INFO:Preloading libraries
- 2022-02-07 08:21:12,875:INFO:Copying training dataset
- 2022-02-07 08:21:12,876:INFO:Copying test dataset
- 2022-02-07 08:21:12,877:INFO:Plot type: confusion_matrix
- 2022-02-07 08:21:12,883:INFO:Initializing get_config()
- 2022-02-07 08:21:12,883:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:21:12,886:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:21:12,886:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:21:12,894:INFO:Fitting Model
- 2022-02-07 08:21:12,895:INFO:Scoring test/hold-out set
- 2022-02-07 08:21:13,033:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:13,119:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:24,379:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:24,379:INFO:Checking exceptions
- 2022-02-07 08:21:24,382:INFO:Preparing display monitor
- 2022-02-07 08:21:24,386:INFO:Preloading libraries
- 2022-02-07 08:21:24,667:INFO:Copying training dataset
- 2022-02-07 08:21:24,668:INFO:Copying test dataset
- 2022-02-07 08:21:24,669:INFO:Plot type: error
- 2022-02-07 08:21:24,675:INFO:Initializing get_config()
- 2022-02-07 08:21:24,675:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:21:24,678:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:21:24,678:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:21:24,686:INFO:Fitting Model
- 2022-02-07 08:21:24,687:INFO:Scoring test/hold-out set
- 2022-02-07 08:21:24,817:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:24,903:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:21:31,482:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:21:31,482:INFO:Checking exceptions
- 2022-02-07 08:21:31,485:INFO:Preparing display monitor
- 2022-02-07 08:21:31,489:INFO:Preloading libraries
- 2022-02-07 08:21:31,775:INFO:Copying training dataset
- 2022-02-07 08:21:31,776:INFO:Copying test dataset
- 2022-02-07 08:21:31,776:INFO:Plot type: class_report
- 2022-02-07 08:21:31,783:INFO:Initializing get_config()
- 2022-02-07 08:21:31,783:INFO:get_config(variable=prep_pipe)
- 2022-02-07 08:21:31,786:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 08:21:31,786:INFO:get_config() succesfully completed......................................
- 2022-02-07 08:21:31,794:INFO:Fitting Model
- 2022-02-07 08:21:31,795:INFO:Scoring test/hold-out set
- 2022-02-07 08:21:31,967:INFO:Visual Rendered Successfully
- 2022-02-07 08:21:32,064:INFO:plot_model() succesfully completed......................................
- 2022-02-07 08:23:25,292:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 08:23:25,292:INFO:Checking exceptions
- 2022-02-07 08:23:25,296:INFO:Preparing display monitor
- 2022-02-07 08:23:25,299:INFO:Preloading libraries
- 2022-02-07 08:23:25,584:INFO:Copying training dataset
- 2022-02-07 08:23:25,585:INFO:Copying test dataset
- 2022-02-07 08:23:25,585:INFO:Plot type: learning
- 2022-02-07 08:23:25,605:INFO:Fitting Model
- 2022-02-07 08:37:54,463:INFO:Visual Rendered Successfully
- 2022-02-07 08:37:54,542:INFO:plot_model() succesfully completed......................................
- 2022-02-07 10:49:16,101:INFO:Initializing interpret_model()
- 2022-02-07 10:49:16,101:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.8,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=32, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=6868, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 10:49:16,101:INFO:Checking exceptions
- 2022-02-07 10:49:16,225:INFO:plot type: summary
- 2022-02-07 10:49:16,225:INFO:Creating TreeExplainer
- 2022-02-07 10:49:17,492:INFO:Compiling shap values
- 2022-02-07 10:49:20,098:INFO:Visual Rendered Successfully
- 2022-02-07 10:49:20,098:INFO:interpret_model() succesfully completed......................................
- 2022-02-07 10:54:39,848:INFO:PyCaret Supervised Module
- 2022-02-07 10:54:39,849:INFO:ML Usecase: classification
- 2022-02-07 10:54:39,849:INFO:version 2.3.6
- 2022-02-07 10:54:39,849:INFO:Initializing setup()
- 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)
- 2022-02-07 10:54:39,849:INFO:Checking environment
- 2022-02-07 10:54:39,849:INFO:python_version: 3.8.12
- 2022-02-07 10:54:39,849:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 10:54:39,849:INFO:machine: AMD64
- 2022-02-07 10:54:39,849:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 10:54:39,849:INFO:Memory: svmem(total=68629372928, available=56005222400, percent=18.4, used=12624150528, free=56005222400)
- 2022-02-07 10:54:39,849:INFO:Physical Core: 16
- 2022-02-07 10:54:39,849:INFO:Logical Core: 32
- 2022-02-07 10:54:39,849:INFO:Checking libraries
- 2022-02-07 10:54:39,849:INFO:pd==1.3.5
- 2022-02-07 10:54:39,849:INFO:numpy==1.21.5
- 2022-02-07 10:54:39,849:INFO:sklearn==0.23.2
- 2022-02-07 10:54:39,850:INFO:lightgbm==3.3.2
- 2022-02-07 10:54:40,131:INFO:catboost==1.0.4
- 2022-02-07 10:54:40,439:INFO:xgboost==1.5.2
- 2022-02-07 10:54:41,145:INFO:mlflow==1.23.1
- 2022-02-07 10:54:41,146:INFO:Checking Exceptions
- 2022-02-07 10:54:41,147:INFO:Declaring global variables
- 2022-02-07 10:54:41,147:INFO:USI: ece6
- 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'}
- 2022-02-07 10:54:41,147:INFO:Preparing display monitor
- 2022-02-07 10:54:41,147:INFO:Preparing display monitor
- 2022-02-07 10:54:41,157:INFO:Importing libraries
- 2022-02-07 10:54:41,157:INFO:Copying data for preprocessing
- 2022-02-07 10:54:41,163:INFO:Declaring preprocessing parameters
- 2022-02-07 10:54:41,163:WARNING:cuML not found
- 2022-02-07 10:54:41,163:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 10:54:41,167:INFO:Creating preprocessing pipeline
- 2022-02-07 10:54:41,221:INFO:Preprocessing pipeline created successfully
- 2022-02-07 10:54:41,221:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 10:54:41,222:INFO:Creating global containers
- 2022-02-07 10:54:41,224:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 10:55:08,904:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 10:55:08,938:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 10:55:08,940:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 10:55:08,941:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 10:55:08,962:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 10:55:08,966:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 10:55:09,417:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 10:55:09,478:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 10:55:09,479:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 10:55:09,481:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 10:55:09,513:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 10:55:09,517:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 10:55:09,637:INFO:Creating grid variables
- 2022-02-07 10:55:09,651:INFO:create_model_container: 0
- 2022-02-07 10:55:09,651:INFO:master_model_container: 0
- 2022-02-07 10:55:09,651:INFO:display_container: 1
- 2022-02-07 10:55:09,657:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 10:55:09,657:INFO:setup() succesfully completed......................................
- 2022-02-07 11:01:55,359:INFO:Initializing create_model()
- 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})
- 2022-02-07 11:01:55,359:INFO:Checking exceptions
- 2022-02-07 11:01:55,359:INFO:Preparing display monitor
- 2022-02-07 11:01:55,370:INFO:Importing libraries
- 2022-02-07 11:01:55,371:INFO:Copying training dataset
- 2022-02-07 11:01:55,372:INFO:Defining folds
- 2022-02-07 11:01:55,372:INFO:Declaring metric variables
- 2022-02-07 11:01:55,376:INFO:Importing untrained model
- 2022-02-07 11:01:55,382:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 11:01:55,392:INFO:Starting cross validation
- 2022-02-07 11:01:55,393:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 11:02:32,717:INFO:Calculating mean and std
- 2022-02-07 11:02:32,718:INFO:Creating metrics dataframe
- 2022-02-07 11:02:32,730:INFO:Finalizing model
- 2022-02-07 11:02:36,461:INFO:Uploading results into container
- 2022-02-07 11:02:36,461:INFO:Uploading model into container now
- 2022-02-07 11:02:36,469:INFO:create_model_container: 1
- 2022-02-07 11:02:36,470:INFO:master_model_container: 1
- 2022-02-07 11:02:36,470:INFO:display_container: 2
- 2022-02-07 11:02:36,471:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=16, max_leaves=1024,
- min_child_weight=1, missing=nan, monotone_constraints='()',
- n_estimators=100, n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto', random_state=1504,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)
- 2022-02-07 11:02:36,471:INFO:create_model() succesfully completed......................................
- 2022-02-07 11:03:16,205:INFO:Initializing create_model()
- 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})
- 2022-02-07 11:03:16,205:INFO:Checking exceptions
- 2022-02-07 11:03:16,205:INFO:Preparing display monitor
- 2022-02-07 11:03:16,217:INFO:Importing libraries
- 2022-02-07 11:03:16,217:INFO:Copying training dataset
- 2022-02-07 11:03:16,218:INFO:Defining folds
- 2022-02-07 11:03:16,218:INFO:Declaring metric variables
- 2022-02-07 11:03:16,223:INFO:Importing untrained model
- 2022-02-07 11:03:16,228:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 11:03:16,237:INFO:Starting cross validation
- 2022-02-07 11:03:16,238:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 11:03:27,978:INFO:Calculating mean and std
- 2022-02-07 11:03:27,979:INFO:Creating metrics dataframe
- 2022-02-07 11:03:27,990:INFO:Finalizing model
- 2022-02-07 11:03:28,919:INFO:Uploading results into container
- 2022-02-07 11:03:28,919:INFO:Uploading model into container now
- 2022-02-07 11:03:28,926:INFO:create_model_container: 2
- 2022-02-07 11:03:28,926:INFO:master_model_container: 2
- 2022-02-07 11:03:28,927:INFO:display_container: 3
- 2022-02-07 11:03:28,928:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 11:03:28,928:INFO:create_model() succesfully completed......................................
- 2022-02-07 11:05:44,992:INFO:Initializing get_config()
- 2022-02-07 11:05:44,992:INFO:get_config(variable=prep_pipe)
- 2022-02-07 11:05:44,995:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 11:05:44,995:INFO:get_config() succesfully completed......................................
- 2022-02-07 11:09:06,796:INFO:Initializing tune_model()
- 2022-02-07 11:09:06,796:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-07 11:09:06,796:INFO:Checking exceptions
- 2022-02-07 11:09:06,797:INFO:Preparing display monitor
- 2022-02-07 11:09:06,808:INFO:Copying training dataset
- 2022-02-07 11:09:06,809:INFO:Checking base model
- 2022-02-07 11:09:06,809:INFO:Base model : Extreme Gradient Boosting
- 2022-02-07 11:09:06,815:INFO:Declaring metric variables
- 2022-02-07 11:09:06,820:INFO:Defining Hyperparameters
- 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]}
- 2022-02-07 11:09:06,960:INFO:Tuning with n_jobs=1
- 2022-02-07 11:09:06,960:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-07 11:21:18,769:INFO:Hyperparameter search completed
- 2022-02-07 11:21:18,769:INFO:SubProcess create_model() called ==================================
- 2022-02-07 11:21:18,770:INFO:Initializing create_model()
- 2022-02-07 11:21:18,770:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-07 11:21:18,770:INFO:Checking exceptions
- 2022-02-07 11:21:18,770:INFO:Importing libraries
- 2022-02-07 11:21:18,770:INFO:Copying training dataset
- 2022-02-07 11:21:18,772:INFO:Defining folds
- 2022-02-07 11:21:18,772:INFO:Declaring metric variables
- 2022-02-07 11:21:18,779:INFO:Importing untrained model
- 2022-02-07 11:21:18,779:INFO:Declaring custom model
- 2022-02-07 11:21:18,787:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 11:21:18,800:INFO:Starting cross validation
- 2022-02-07 11:21:18,801:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 11:23:07,265:INFO:Calculating mean and std
- 2022-02-07 11:23:07,266:INFO:Creating metrics dataframe
- 2022-02-07 11:23:07,276:INFO:Finalizing model
- 2022-02-07 11:23:20,419:INFO:Uploading results into container
- 2022-02-07 11:23:20,420:INFO:Uploading model into container now
- 2022-02-07 11:23:20,420:INFO:create_model_container: 3
- 2022-02-07 11:23:20,420:INFO:master_model_container: 3
- 2022-02-07 11:23:20,420:INFO:display_container: 4
- 2022-02-07 11:23:20,421:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 11:23:20,421:INFO:create_model() succesfully completed......................................
- 2022-02-07 11:23:20,563:INFO:SubProcess create_model() end ==================================
- 2022-02-07 11:23:20,571:INFO:create_model_container: 3
- 2022-02-07 11:23:20,571:INFO:master_model_container: 3
- 2022-02-07 11:23:20,571:INFO:display_container: 4
- 2022-02-07 11:23:20,572:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 11:23:20,572:INFO:tune_model() succesfully completed......................................
- 2022-02-07 11:25:13,263:INFO:Initializing interpret_model()
- 2022-02-07 11:25:13,263:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 11:25:13,263:INFO:Checking exceptions
- 2022-02-07 11:25:13,380:INFO:plot type: summary
- 2022-02-07 11:25:13,380:INFO:Creating TreeExplainer
- 2022-02-07 11:25:14,729:INFO:Compiling shap values
- 2022-02-07 11:25:16,213:INFO:Visual Rendered Successfully
- 2022-02-07 11:25:16,213:INFO:interpret_model() succesfully completed......................................
- 2022-02-07 11:46:23,513:INFO:Initializing evaluate_model()
- 2022-02-07 11:46:23,513:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 11:46:23,528:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 11:46:23,528:INFO:Checking exceptions
- 2022-02-07 11:46:23,532:INFO:Preparing display monitor
- 2022-02-07 11:46:23,536:INFO:Preloading libraries
- 2022-02-07 11:46:23,843:INFO:Copying training dataset
- 2022-02-07 11:46:23,845:INFO:Copying test dataset
- 2022-02-07 11:46:23,845:INFO:Plot type: parameter
- 2022-02-07 11:46:23,856:INFO:Visual Rendered Successfully
- 2022-02-07 11:46:23,998:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:52:57,875:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:52:57,876:INFO:Checking exceptions
- 2022-02-07 12:52:57,879:INFO:Preparing display monitor
- 2022-02-07 12:52:57,883:INFO:Preloading libraries
- 2022-02-07 12:52:58,185:INFO:Copying training dataset
- 2022-02-07 12:52:58,186:INFO:Copying test dataset
- 2022-02-07 12:52:58,186:INFO:Plot type: lift
- 2022-02-07 12:52:58,193:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 12:52:58,513:INFO:Visual Rendered Successfully
- 2022-02-07 12:52:58,662:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:03,460:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:03,460:INFO:Checking exceptions
- 2022-02-07 12:53:03,463:INFO:Preparing display monitor
- 2022-02-07 12:53:03,468:INFO:Preloading libraries
- 2022-02-07 12:53:03,764:INFO:Copying training dataset
- 2022-02-07 12:53:03,765:INFO:Copying test dataset
- 2022-02-07 12:53:03,766:INFO:Plot type: gain
- 2022-02-07 12:53:03,772:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 12:53:04,096:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:04,241:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:06,997:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:06,997:INFO:Checking exceptions
- 2022-02-07 12:53:07,001:INFO:Preparing display monitor
- 2022-02-07 12:53:07,004:INFO:Preloading libraries
- 2022-02-07 12:53:07,294:INFO:Copying training dataset
- 2022-02-07 12:53:07,295:INFO:Copying test dataset
- 2022-02-07 12:53:07,296:INFO:Plot type: feature_all
- 2022-02-07 12:53:07,303:WARNING:No coef_ found. Trying feature_importances_
- 2022-02-07 12:53:07,328:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:07,461:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:19,722:INFO:Initializing evaluate_model()
- 2022-02-07 12:53:19,722:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 12:53:19,735:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:19,735:INFO:Checking exceptions
- 2022-02-07 12:53:19,738:INFO:Preparing display monitor
- 2022-02-07 12:53:19,742:INFO:Preloading libraries
- 2022-02-07 12:53:20,044:INFO:Copying training dataset
- 2022-02-07 12:53:20,045:INFO:Copying test dataset
- 2022-02-07 12:53:20,046:INFO:Plot type: parameter
- 2022-02-07 12:53:20,057:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:20,192:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:22,104:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:22,104:INFO:Checking exceptions
- 2022-02-07 12:53:22,108:INFO:Preparing display monitor
- 2022-02-07 12:53:22,111:INFO:Preloading libraries
- 2022-02-07 12:53:22,402:INFO:Copying training dataset
- 2022-02-07 12:53:22,403:INFO:Copying test dataset
- 2022-02-07 12:53:22,403:INFO:Plot type: lift
- 2022-02-07 12:53:22,410:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 12:53:22,738:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:22,880:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:24,534:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:24,534:INFO:Checking exceptions
- 2022-02-07 12:53:24,537:INFO:Preparing display monitor
- 2022-02-07 12:53:24,541:INFO:Preloading libraries
- 2022-02-07 12:53:24,832:INFO:Copying training dataset
- 2022-02-07 12:53:24,833:INFO:Copying test dataset
- 2022-02-07 12:53:24,834:INFO:Plot type: parameter
- 2022-02-07 12:53:24,845:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:24,972:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:27,064:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:27,064:INFO:Checking exceptions
- 2022-02-07 12:53:27,068:INFO:Preparing display monitor
- 2022-02-07 12:53:27,071:INFO:Preloading libraries
- 2022-02-07 12:53:27,355:INFO:Copying training dataset
- 2022-02-07 12:53:27,356:INFO:Copying test dataset
- 2022-02-07 12:53:27,357:INFO:Plot type: confusion_matrix
- 2022-02-07 12:53:27,364:INFO:Initializing get_config()
- 2022-02-07 12:53:27,364:INFO:get_config(variable=prep_pipe)
- 2022-02-07 12:53:27,367:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 12:53:27,367:INFO:get_config() succesfully completed......................................
- 2022-02-07 12:53:27,375:INFO:Fitting Model
- 2022-02-07 12:53:27,376:INFO:Scoring test/hold-out set
- 2022-02-07 12:53:27,495:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:27,627:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:53:36,704:INFO:Initializing interpret_model()
- 2022-02-07 12:53:36,704:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:36,704:INFO:Checking exceptions
- 2022-02-07 12:53:36,704:INFO:plot type: summary
- 2022-02-07 12:53:36,704:INFO:Creating TreeExplainer
- 2022-02-07 12:53:38,057:INFO:Compiling shap values
- 2022-02-07 12:53:39,525:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:39,525:INFO:interpret_model() succesfully completed......................................
- 2022-02-07 12:53:49,150:INFO:Initializing interpret_model()
- 2022-02-07 12:53:49,150:INFO:interpret_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:53:49,150:INFO:Checking exceptions
- 2022-02-07 12:53:49,150:INFO:plot type: summary
- 2022-02-07 12:53:49,150:INFO:Creating TreeExplainer
- 2022-02-07 12:53:50,482:INFO:Compiling shap values
- 2022-02-07 12:53:51,834:INFO:Visual Rendered Successfully
- 2022-02-07 12:53:51,834:INFO:interpret_model() succesfully completed......................................
- 2022-02-07 12:54:04,494:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:54:04,494:INFO:Checking exceptions
- 2022-02-07 12:54:04,498:INFO:Preparing display monitor
- 2022-02-07 12:54:04,502:INFO:Preloading libraries
- 2022-02-07 12:54:04,841:INFO:Copying training dataset
- 2022-02-07 12:54:04,842:INFO:Copying test dataset
- 2022-02-07 12:54:04,843:INFO:Plot type: parameter
- 2022-02-07 12:54:04,855:INFO:Visual Rendered Successfully
- 2022-02-07 12:54:05,002:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:54:06,693:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:54:06,693:INFO:Checking exceptions
- 2022-02-07 12:54:06,696:INFO:Preparing display monitor
- 2022-02-07 12:54:06,700:INFO:Preloading libraries
- 2022-02-07 12:54:06,990:INFO:Copying training dataset
- 2022-02-07 12:54:06,991:INFO:Copying test dataset
- 2022-02-07 12:54:06,992:INFO:Plot type: auc
- 2022-02-07 12:54:06,999:INFO:Initializing get_config()
- 2022-02-07 12:54:06,999:INFO:get_config(variable=prep_pipe)
- 2022-02-07 12:54:07,002:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 12:54:07,002:INFO:get_config() succesfully completed......................................
- 2022-02-07 12:54:07,010:INFO:Fitting Model
- 2022-02-07 12:54:07,012:INFO:Scoring test/hold-out set
- 2022-02-07 12:54:07,069:INFO:Visual Rendered Successfully
- 2022-02-07 12:54:07,218:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:54:24,937:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 12:54:24,937:INFO:Checking exceptions
- 2022-02-07 12:54:24,941:INFO:Preparing display monitor
- 2022-02-07 12:54:24,944:INFO:Preloading libraries
- 2022-02-07 12:54:25,236:INFO:Copying training dataset
- 2022-02-07 12:54:25,237:INFO:Copying test dataset
- 2022-02-07 12:54:25,238:INFO:Plot type: confusion_matrix
- 2022-02-07 12:54:25,245:INFO:Initializing get_config()
- 2022-02-07 12:54:25,245:INFO:get_config(variable=prep_pipe)
- 2022-02-07 12:54:25,248:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 12:54:25,249:INFO:get_config() succesfully completed......................................
- 2022-02-07 12:54:25,256:INFO:Fitting Model
- 2022-02-07 12:54:25,257:INFO:Scoring test/hold-out set
- 2022-02-07 12:54:25,363:INFO:Visual Rendered Successfully
- 2022-02-07 12:54:25,488:INFO:plot_model() succesfully completed......................................
- 2022-02-07 12:54:40,456:INFO:Initializing get_config()
- 2022-02-07 12:54:40,456:INFO:get_config(variable=prep_pipe)
- 2022-02-07 12:54:40,460:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 12:54:40,460:INFO:get_config() succesfully completed......................................
- 2022-02-07 12:55:49,610:INFO:Initializing save_model()
- 2022-02-07 12:55:49,610:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-02-07 12:55:49,611:INFO:Adding model into prep_pipe
- 2022-02-07 12:55:49,808:INFO:tuned_xgboost_0207.pkl saved in current working directory
- 2022-02-07 12:55:49,816:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-02-07 12:55:49,816:INFO:save_model() successfully completed......................................
- 2022-02-07 12:58:52,123:INFO:Initializing load_model()
- 2022-02-07 12:58:52,123:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 12:59:17,131:INFO:Initializing evaluate_model()
- 2022-02-07 12:59:17,131:INFO:evaluate_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 13:00:03,866:INFO:PyCaret Supervised Module
- 2022-02-07 13:00:03,866:INFO:ML Usecase: classification
- 2022-02-07 13:00:03,866:INFO:version 2.3.6
- 2022-02-07 13:00:03,866:INFO:Initializing setup()
- 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)
- 2022-02-07 13:00:03,866:INFO:Checking environment
- 2022-02-07 13:00:03,866:INFO:python_version: 3.8.12
- 2022-02-07 13:00:03,866:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 13:00:03,866:INFO:machine: AMD64
- 2022-02-07 13:00:03,866:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 13:00:03,866:INFO:Memory: svmem(total=68629372928, available=52282277888, percent=23.8, used=16347095040, free=52282277888)
- 2022-02-07 13:00:03,867:INFO:Physical Core: 16
- 2022-02-07 13:00:03,867:INFO:Logical Core: 32
- 2022-02-07 13:00:03,867:INFO:Checking libraries
- 2022-02-07 13:00:03,867:INFO:pd==1.3.5
- 2022-02-07 13:00:03,867:INFO:numpy==1.21.5
- 2022-02-07 13:00:03,867:INFO:sklearn==0.23.2
- 2022-02-07 13:00:03,867:INFO:lightgbm==3.3.2
- 2022-02-07 13:00:04,056:INFO:catboost==1.0.4
- 2022-02-07 13:00:04,056:INFO:xgboost==1.5.2
- 2022-02-07 13:00:04,667:INFO:mlflow==1.23.1
- 2022-02-07 13:00:04,667:INFO:Checking Exceptions
- 2022-02-07 13:00:04,667:INFO:Declaring global variables
- 2022-02-07 13:00:04,667:INFO:USI: dde2
- 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'}
- 2022-02-07 13:00:04,667:INFO:Preparing display monitor
- 2022-02-07 13:00:04,667:INFO:Preparing display monitor
- 2022-02-07 13:00:04,677:INFO:Importing libraries
- 2022-02-07 13:00:04,677:INFO:Copying data for preprocessing
- 2022-02-07 13:00:04,682:INFO:Declaring preprocessing parameters
- 2022-02-07 13:00:04,683:WARNING:cuML not found
- 2022-02-07 13:00:04,683:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 13:00:04,686:INFO:Creating preprocessing pipeline
- 2022-02-07 13:00:04,741:INFO:Preprocessing pipeline created successfully
- 2022-02-07 13:00:04,741:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 13:00:04,741:INFO:Creating global containers
- 2022-02-07 13:00:04,741:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 13:00:06,883:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:00:06,919:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:00:06,921:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:00:06,922:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:00:06,941:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:00:06,945:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:00:07,301:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:00:07,362:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:00:07,363:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:00:07,364:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:00:07,395:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:00:07,402:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:00:07,536:INFO:Creating grid variables
- 2022-02-07 13:00:07,550:INFO:create_model_container: 0
- 2022-02-07 13:00:07,551:INFO:master_model_container: 0
- 2022-02-07 13:00:07,551:INFO:display_container: 1
- 2022-02-07 13:00:07,557:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:00:07,557:INFO:setup() succesfully completed......................................
- 2022-02-07 13:00:12,038:INFO:Initializing load_model()
- 2022-02-07 13:00:12,038:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:00:15,388:INFO:Initializing evaluate_model()
- 2022-02-07 13:00:15,388:INFO:evaluate_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 13:00:15,408:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:00:15,408:INFO:Checking exceptions
- 2022-02-07 13:00:15,409:INFO:Preparing display monitor
- 2022-02-07 13:00:15,413:INFO:Preloading libraries
- 2022-02-07 13:00:15,735:INFO:Copying training dataset
- 2022-02-07 13:00:15,736:INFO:Copying test dataset
- 2022-02-07 13:00:15,737:INFO:Plot type: parameter
- 2022-02-07 13:00:15,743:INFO:Visual Rendered Successfully
- 2022-02-07 13:00:15,869:INFO:plot_model() succesfully completed......................................
- 2022-02-07 13:00:20,027:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:00:20,027:INFO:Checking exceptions
- 2022-02-07 13:00:20,028:INFO:Preparing display monitor
- 2022-02-07 13:00:20,032:INFO:Preloading libraries
- 2022-02-07 13:00:20,345:INFO:Copying training dataset
- 2022-02-07 13:00:20,347:INFO:Copying test dataset
- 2022-02-07 13:00:20,347:INFO:Plot type: auc
- 2022-02-07 13:00:20,349:INFO:Initializing get_config()
- 2022-02-07 13:00:20,349:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:00:20,353:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:00:20,353:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:00:20,365:INFO:Fitting Model
- 2022-02-07 13:01:30,029:INFO:PyCaret Supervised Module
- 2022-02-07 13:01:30,029:INFO:ML Usecase: classification
- 2022-02-07 13:01:30,029:INFO:version 2.3.6
- 2022-02-07 13:01:30,029:INFO:Initializing setup()
- 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)
- 2022-02-07 13:01:30,029:INFO:Checking environment
- 2022-02-07 13:01:30,029:INFO:python_version: 3.8.12
- 2022-02-07 13:01:30,029:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 13:01:30,029:INFO:machine: AMD64
- 2022-02-07 13:01:30,029:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 13:01:30,029:INFO:Memory: svmem(total=68629372928, available=52333809664, percent=23.7, used=16295563264, free=52333809664)
- 2022-02-07 13:01:30,029:INFO:Physical Core: 16
- 2022-02-07 13:01:30,030:INFO:Logical Core: 32
- 2022-02-07 13:01:30,030:INFO:Checking libraries
- 2022-02-07 13:01:30,030:INFO:pd==1.3.5
- 2022-02-07 13:01:30,030:INFO:numpy==1.21.5
- 2022-02-07 13:01:30,030:INFO:sklearn==0.23.2
- 2022-02-07 13:01:30,030:INFO:lightgbm==3.3.2
- 2022-02-07 13:01:30,040:INFO:catboost==1.0.4
- 2022-02-07 13:01:30,131:INFO:xgboost==1.5.2
- 2022-02-07 13:01:30,408:INFO:mlflow==1.23.1
- 2022-02-07 13:01:30,408:INFO:Checking Exceptions
- 2022-02-07 13:01:30,408:INFO:Declaring global variables
- 2022-02-07 13:01:30,408:INFO:USI: 6390
- 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'}
- 2022-02-07 13:01:30,408:INFO:Preparing display monitor
- 2022-02-07 13:01:30,408:INFO:Preparing display monitor
- 2022-02-07 13:01:30,418:INFO:Importing libraries
- 2022-02-07 13:01:30,418:INFO:Copying data for preprocessing
- 2022-02-07 13:01:30,423:INFO:Declaring preprocessing parameters
- 2022-02-07 13:01:30,424:WARNING:cuML not found
- 2022-02-07 13:01:30,424:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 13:01:30,427:INFO:Creating preprocessing pipeline
- 2022-02-07 13:01:30,478:INFO:Preprocessing pipeline created successfully
- 2022-02-07 13:01:30,479:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 13:01:30,479:INFO:Creating global containers
- 2022-02-07 13:01:30,481:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 13:01:31,676:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:01:31,710:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:01:31,712:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:01:31,712:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:01:31,732:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:01:31,736:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:01:31,901:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:01:31,962:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:01:31,963:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:01:31,964:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:01:31,994:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:01:32,000:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:01:32,124:INFO:Creating grid variables
- 2022-02-07 13:01:32,138:INFO:create_model_container: 0
- 2022-02-07 13:01:32,138:INFO:master_model_container: 0
- 2022-02-07 13:01:32,138:INFO:display_container: 1
- 2022-02-07 13:01:32,144:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:01:32,144:INFO:setup() succesfully completed......................................
- 2022-02-07 13:01:34,273:INFO:Initializing load_model()
- 2022-02-07 13:01:34,273:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:01:37,451:INFO:Initializing evaluate_model()
- 2022-02-07 13:01:37,451:INFO:evaluate_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 13:01:37,471:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:01:37,471:INFO:Checking exceptions
- 2022-02-07 13:01:37,472:INFO:Preparing display monitor
- 2022-02-07 13:01:37,476:INFO:Preloading libraries
- 2022-02-07 13:01:37,798:INFO:Copying training dataset
- 2022-02-07 13:01:37,800:INFO:Copying test dataset
- 2022-02-07 13:01:37,800:INFO:Plot type: parameter
- 2022-02-07 13:01:37,807:INFO:Visual Rendered Successfully
- 2022-02-07 13:01:37,894:INFO:plot_model() succesfully completed......................................
- 2022-02-07 13:01:43,401:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=confusion_matrix, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:01:43,401:INFO:Checking exceptions
- 2022-02-07 13:01:43,402:INFO:Preparing display monitor
- 2022-02-07 13:01:43,406:INFO:Preloading libraries
- 2022-02-07 13:01:43,727:INFO:Copying training dataset
- 2022-02-07 13:01:43,728:INFO:Copying test dataset
- 2022-02-07 13:01:43,728:INFO:Plot type: confusion_matrix
- 2022-02-07 13:01:43,730:INFO:Initializing get_config()
- 2022-02-07 13:01:43,731:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:01:43,734:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:01:43,734:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:01:43,746:INFO:Fitting Model
- 2022-02-07 13:02:39,038:INFO:PyCaret Supervised Module
- 2022-02-07 13:02:39,038:INFO:ML Usecase: classification
- 2022-02-07 13:02:39,038:INFO:version 2.3.6
- 2022-02-07 13:02:39,038:INFO:Initializing setup()
- 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)
- 2022-02-07 13:02:39,038:INFO:Checking environment
- 2022-02-07 13:02:39,038:INFO:python_version: 3.8.12
- 2022-02-07 13:02:39,038:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 13:02:39,038:INFO:machine: AMD64
- 2022-02-07 13:02:39,038:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 13:02:39,038:INFO:Memory: svmem(total=68629372928, available=52405063680, percent=23.6, used=16224309248, free=52405063680)
- 2022-02-07 13:02:39,038:INFO:Physical Core: 16
- 2022-02-07 13:02:39,039:INFO:Logical Core: 32
- 2022-02-07 13:02:39,039:INFO:Checking libraries
- 2022-02-07 13:02:39,039:INFO:pd==1.3.5
- 2022-02-07 13:02:39,039:INFO:numpy==1.21.5
- 2022-02-07 13:02:39,039:INFO:sklearn==0.23.2
- 2022-02-07 13:02:39,039:INFO:lightgbm==3.3.2
- 2022-02-07 13:02:39,049:INFO:catboost==1.0.4
- 2022-02-07 13:02:39,138:INFO:xgboost==1.5.2
- 2022-02-07 13:02:39,417:INFO:mlflow==1.23.1
- 2022-02-07 13:02:39,417:INFO:Checking Exceptions
- 2022-02-07 13:02:39,418:INFO:Declaring global variables
- 2022-02-07 13:02:39,418:INFO:USI: 8c64
- 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'}
- 2022-02-07 13:02:39,418:INFO:Preparing display monitor
- 2022-02-07 13:02:39,418:INFO:Preparing display monitor
- 2022-02-07 13:02:39,428:INFO:Importing libraries
- 2022-02-07 13:02:39,428:INFO:Copying data for preprocessing
- 2022-02-07 13:02:39,434:INFO:Declaring preprocessing parameters
- 2022-02-07 13:02:39,435:WARNING:cuML not found
- 2022-02-07 13:02:39,435:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 13:02:39,438:INFO:Creating preprocessing pipeline
- 2022-02-07 13:02:39,490:INFO:Preprocessing pipeline created successfully
- 2022-02-07 13:02:39,490:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 13:02:39,490:INFO:Creating global containers
- 2022-02-07 13:02:39,492:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 13:02:41,586:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:02:41,619:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:02:41,621:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:02:41,622:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:02:41,642:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:02:41,646:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:02:41,811:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:02:41,870:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:02:41,870:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:02:41,872:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:02:41,902:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:02:41,906:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:02:42,029:INFO:Creating grid variables
- 2022-02-07 13:02:42,042:INFO:create_model_container: 0
- 2022-02-07 13:02:42,042:INFO:master_model_container: 0
- 2022-02-07 13:02:42,042:INFO:display_container: 1
- 2022-02-07 13:02:42,048:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:02:42,048:INFO:setup() succesfully completed......................................
- 2022-02-07 13:02:44,391:INFO:Initializing load_model()
- 2022-02-07 13:02:44,392:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:02:52,323:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-02-07 13:02:52,323:INFO:Checking exceptions
- 2022-02-07 13:02:52,324:INFO:Preparing display monitor
- 2022-02-07 13:02:52,328:INFO:Preloading libraries
- 2022-02-07 13:02:52,650:INFO:Copying training dataset
- 2022-02-07 13:02:52,651:INFO:Copying test dataset
- 2022-02-07 13:02:52,652:INFO:Plot type: auc
- 2022-02-07 13:02:52,654:INFO:Initializing get_config()
- 2022-02-07 13:02:52,654:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:02:52,657:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:02:52,657:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:02:52,669:INFO:Fitting Model
- 2022-02-07 13:04:02,747:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:04:02,747:INFO:Checking exceptions
- 2022-02-07 13:04:02,751:INFO:Preparing display monitor
- 2022-02-07 13:04:02,755:INFO:Preloading libraries
- 2022-02-07 13:04:03,050:INFO:Copying training dataset
- 2022-02-07 13:04:03,051:INFO:Copying test dataset
- 2022-02-07 13:04:03,052:INFO:Plot type: parameter
- 2022-02-07 13:04:03,062:INFO:Visual Rendered Successfully
- 2022-02-07 13:04:03,198:INFO:plot_model() succesfully completed......................................
- 2022-02-07 13:04:36,782:INFO:Initializing predict_model()
- 2022-02-07 13:04:36,782:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:04:36,782:INFO:Checking exceptions
- 2022-02-07 13:04:36,782:INFO:Preloading libraries
- 2022-02-07 13:04:36,782:INFO:Preparing display monitor
- 2022-02-07 13:06:05,079:INFO:Initializing finalize_model()
- 2022-02-07 13:06:05,080:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
- 2022-02-07 13:06:05,081:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 13:06:05,082:INFO:Initializing create_model()
- 2022-02-07 13:06:05,082:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-07 13:06:05,082:INFO:Checking exceptions
- 2022-02-07 13:06:05,082:INFO:Importing libraries
- 2022-02-07 13:06:05,082:INFO:Copying training dataset
- 2022-02-07 13:06:05,084:INFO:Defining folds
- 2022-02-07 13:06:05,084:INFO:Declaring metric variables
- 2022-02-07 13:06:05,084:INFO:Importing untrained model
- 2022-02-07 13:06:05,084:INFO:Declaring custom model
- 2022-02-07 13:06:05,085:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 13:06:05,085:INFO:Starting cross validation
- 2022-02-07 13:06:05,086:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 13:08:16,281:INFO:Calculating mean and std
- 2022-02-07 13:08:16,281:INFO:Creating metrics dataframe
- 2022-02-07 13:08:16,284:INFO:Finalizing model
- 2022-02-07 13:08:30,142:INFO:create_model_container: 3
- 2022-02-07 13:08:30,142:INFO:master_model_container: 3
- 2022-02-07 13:08:30,142:INFO:display_container: 6
- 2022-02-07 13:08:30,143:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 13:08:30,143:INFO:create_model() succesfully completed......................................
- 2022-02-07 13:08:30,275:INFO:create_model_container: 3
- 2022-02-07 13:08:30,276:INFO:master_model_container: 3
- 2022-02-07 13:08:30,276:INFO:display_container: 5
- 2022-02-07 13:08:30,277:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 13:08:30,277:INFO:finalize_model() succesfully completed......................................
- 2022-02-07 13:08:30,415:INFO:Initializing predict_model()
- 2022-02-07 13:08:30,415:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:08:30,415:INFO:Checking exceptions
- 2022-02-07 13:08:30,415:INFO:Preloading libraries
- 2022-02-07 13:08:30,415:INFO:Preparing display monitor
- 2022-02-07 13:20:36,220:INFO:Initializing predict_model()
- 2022-02-07 13:20:36,220:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:20:36,220:INFO:Checking exceptions
- 2022-02-07 13:20:36,220:INFO:Preloading libraries
- 2022-02-07 13:20:36,220:INFO:Preparing display monitor
- 2022-02-07 13:20:48,036:INFO:Initializing predict_model()
- 2022-02-07 13:20:48,036:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:20:48,036:INFO:Checking exceptions
- 2022-02-07 13:20:48,036:INFO:Preloading libraries
- 2022-02-07 13:20:48,036:INFO:Preparing display monitor
- 2022-02-07 13:21:08,950:INFO:Initializing predict_model()
- 2022-02-07 13:21:08,951:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:21:08,951:INFO:Checking exceptions
- 2022-02-07 13:21:08,951:INFO:Preloading libraries
- 2022-02-07 13:21:08,951:INFO:Preparing display monitor
- 2022-02-07 13:21:19,375:INFO:Initializing predict_model()
- 2022-02-07 13:21:19,375:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 13:21:19,375:INFO:Checking exceptions
- 2022-02-07 13:21:19,375:INFO:Preloading libraries
- 2022-02-07 13:21:19,375:INFO:Preparing display monitor
- 2022-02-07 13:21:43,616:INFO:Initializing save_model()
- 2022-02-07 13:21:43,616:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-02-07 13:21:43,616:INFO:Adding model into prep_pipe
- 2022-02-07 13:21:43,870:INFO:tuned_xgboost_0207.pkl saved in current working directory
- 2022-02-07 13:21:43,877:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-02-07 13:21:43,877:INFO:save_model() successfully completed......................................
- 2022-02-07 13:22:16,465:INFO:Initializing load_model()
- 2022-02-07 13:22:16,465:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:22:20,404:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-02-07 13:22:20,404:INFO:Checking exceptions
- 2022-02-07 13:22:20,404:INFO:Preparing display monitor
- 2022-02-07 13:22:20,408:INFO:Preloading libraries
- 2022-02-07 13:22:20,827:INFO:Copying training dataset
- 2022-02-07 13:22:20,828:INFO:Copying test dataset
- 2022-02-07 13:22:20,829:INFO:Plot type: auc
- 2022-02-07 13:22:20,831:INFO:Initializing get_config()
- 2022-02-07 13:22:20,831:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:22:20,834:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:22:20,834:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:22:20,843:INFO:Fitting Model
- 2022-02-07 13:22:40,008:INFO:Initializing load_model()
- 2022-02-07 13:22:40,008:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:22:42,819:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-02-07 13:22:42,819:INFO:Checking exceptions
- 2022-02-07 13:22:42,820:INFO:Preparing display monitor
- 2022-02-07 13:22:42,824:INFO:Preloading libraries
- 2022-02-07 13:22:43,243:INFO:Copying training dataset
- 2022-02-07 13:22:43,245:INFO:Copying test dataset
- 2022-02-07 13:22:43,245:INFO:Plot type: auc
- 2022-02-07 13:22:43,247:INFO:Initializing get_config()
- 2022-02-07 13:22:43,247:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:22:43,250:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:22:43,250:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:22:43,259:INFO:Fitting Model
- 2022-02-07 13:25:13,172:INFO:PyCaret Supervised Module
- 2022-02-07 13:25:13,172:INFO:ML Usecase: classification
- 2022-02-07 13:25:13,172:INFO:version 2.3.6
- 2022-02-07 13:25:13,172:INFO:Initializing setup()
- 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)
- 2022-02-07 13:25:13,172:INFO:Checking environment
- 2022-02-07 13:25:13,172:INFO:python_version: 3.8.12
- 2022-02-07 13:25:13,172:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 13:25:13,172:INFO:machine: AMD64
- 2022-02-07 13:25:13,172:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 13:25:13,172:INFO:Memory: svmem(total=68629372928, available=51734814720, percent=24.6, used=16894558208, free=51734814720)
- 2022-02-07 13:25:13,173:INFO:Physical Core: 16
- 2022-02-07 13:25:13,173:INFO:Logical Core: 32
- 2022-02-07 13:25:13,173:INFO:Checking libraries
- 2022-02-07 13:25:13,173:INFO:pd==1.3.5
- 2022-02-07 13:25:13,173:INFO:numpy==1.21.5
- 2022-02-07 13:25:13,173:INFO:sklearn==0.23.2
- 2022-02-07 13:25:13,173:INFO:lightgbm==3.3.2
- 2022-02-07 13:25:13,173:INFO:catboost==1.0.4
- 2022-02-07 13:25:13,173:INFO:xgboost==1.5.2
- 2022-02-07 13:25:13,173:INFO:mlflow==1.23.1
- 2022-02-07 13:25:13,173:INFO:Checking Exceptions
- 2022-02-07 13:25:13,173:INFO:Declaring global variables
- 2022-02-07 13:25:13,173:INFO:USI: dcd1
- 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'}
- 2022-02-07 13:25:13,173:INFO:Preparing display monitor
- 2022-02-07 13:25:13,173:INFO:Preparing display monitor
- 2022-02-07 13:25:13,180:INFO:Importing libraries
- 2022-02-07 13:25:13,181:INFO:Copying data for preprocessing
- 2022-02-07 13:25:13,186:INFO:Declaring preprocessing parameters
- 2022-02-07 13:25:13,187:WARNING:cuML not found
- 2022-02-07 13:25:13,187:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 13:25:13,191:INFO:Creating preprocessing pipeline
- 2022-02-07 13:25:13,244:INFO:Preprocessing pipeline created successfully
- 2022-02-07 13:25:13,244:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 13:25:13,244:INFO:Creating global containers
- 2022-02-07 13:25:13,244:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 13:25:15,939:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:25:15,973:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:25:15,973:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:25:15,974:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:25:15,991:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:25:15,995:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:25:16,151:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 13:25:16,209:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 13:25:16,210:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 13:25:16,212:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 13:25:16,244:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 13:25:16,250:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 13:25:16,400:INFO:Creating grid variables
- 2022-02-07 13:25:16,414:INFO:create_model_container: 0
- 2022-02-07 13:25:16,414:INFO:master_model_container: 0
- 2022-02-07 13:25:16,414:INFO:display_container: 1
- 2022-02-07 13:25:16,419:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:25:16,420:INFO:setup() succesfully completed......................................
- 2022-02-07 13:25:18,279:INFO:Initializing load_model()
- 2022-02-07 13:25:18,279:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:25:22,638:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs=None, groups=None, label=False, plot=auc, plot_kwargs=None, save=False, scale=1, system=True)
- 2022-02-07 13:25:22,638:INFO:Checking exceptions
- 2022-02-07 13:25:22,638:INFO:Preparing display monitor
- 2022-02-07 13:25:22,642:INFO:Preloading libraries
- 2022-02-07 13:25:23,058:INFO:Copying training dataset
- 2022-02-07 13:25:23,059:INFO:Copying test dataset
- 2022-02-07 13:25:23,059:INFO:Plot type: auc
- 2022-02-07 13:25:23,061:INFO:Initializing get_config()
- 2022-02-07 13:25:23,061:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:25:23,064:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:25:23,064:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:25:23,073:INFO:Fitting Model
- 2022-02-07 13:25:50,593:INFO:Initializing evaluate_model()
- 2022-02-07 13:25:50,594:INFO:evaluate_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 13:25:50,613:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=parameter, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:25:50,613:INFO:Checking exceptions
- 2022-02-07 13:25:50,614:INFO:Preparing display monitor
- 2022-02-07 13:25:50,618:INFO:Preloading libraries
- 2022-02-07 13:25:51,029:INFO:Copying training dataset
- 2022-02-07 13:25:51,030:INFO:Copying test dataset
- 2022-02-07 13:25:51,031:INFO:Plot type: parameter
- 2022-02-07 13:25:51,037:INFO:Visual Rendered Successfully
- 2022-02-07 13:25:51,224:INFO:plot_model() succesfully completed......................................
- 2022-02-07 13:25:55,815:INFO:Initializing plot_model()
- 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,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), feature_name=None, fit_kwargs={}, groups=None, label=False, plot=auc, plot_kwargs={}, save=False, scale=1, system=True)
- 2022-02-07 13:25:55,815:INFO:Checking exceptions
- 2022-02-07 13:25:55,816:INFO:Preparing display monitor
- 2022-02-07 13:25:55,820:INFO:Preloading libraries
- 2022-02-07 13:25:56,228:INFO:Copying training dataset
- 2022-02-07 13:25:56,229:INFO:Copying test dataset
- 2022-02-07 13:25:56,229:INFO:Plot type: auc
- 2022-02-07 13:25:56,231:INFO:Initializing get_config()
- 2022-02-07 13:25:56,231:INFO:get_config(variable=prep_pipe)
- 2022-02-07 13:25:56,235:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 13:25:56,235:INFO:get_config() succesfully completed......................................
- 2022-02-07 13:25:56,243:INFO:Fitting Model
- 2022-02-07 13:26:36,710:INFO:Initializing load_model()
- 2022-02-07 13:26:36,711:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-07 13:26:52,718:INFO:Initializing predict_model()
- 2022-02-07 13:26:52,718:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-07 13:26:52,718:INFO:Checking exceptions
- 2022-02-07 13:26:52,718:INFO:Preloading libraries
- 2022-02-07 13:27:02,174:INFO:Initializing predict_model()
- 2022-02-07 13:27:02,174:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-07 13:27:02,175:INFO:Checking exceptions
- 2022-02-07 13:27:02,175:INFO:Preloading libraries
- 2022-02-07 13:27:55,631:INFO:Initializing predict_model()
- 2022-02-07 13:27:55,631:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-07 13:27:55,631:INFO:Checking exceptions
- 2022-02-07 13:27:55,631:INFO:Preloading libraries
- 2022-02-07 13:28:16,161:INFO:Initializing predict_model()
- 2022-02-07 13:28:16,161:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
- DataTypes_Auto_infer(ml_usecase='classification',
- target='label')),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strategy='mean',
- target_variable=None)),
- ('new_levels1',
- New_Catagorical_Levels_in_TestData(replacement_strategy='least '
- 'frequent',
- targe...
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05,
- max_delta_step=0, max_depth=64, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, predictor='auto',
- random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', validate_parameters=1,
- verbosity=0)]]), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-07 13:28:16,161:INFO:Checking exceptions
- 2022-02-07 13:28:16,162:INFO:Preloading libraries
- 2022-02-07 15:53:27,752:INFO:Initializing evaluate_model()
- 2022-02-07 15:53:27,753:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 15:53:27,765:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 15:53:27,766:INFO:Checking exceptions
- 2022-02-07 15:53:27,769:INFO:Preparing display monitor
- 2022-02-07 15:53:27,774:INFO:Preloading libraries
- 2022-02-07 15:53:28,079:INFO:Copying training dataset
- 2022-02-07 15:53:28,080:INFO:Copying test dataset
- 2022-02-07 15:53:28,081:INFO:Plot type: parameter
- 2022-02-07 15:53:28,093:INFO:Visual Rendered Successfully
- 2022-02-07 15:53:28,260:INFO:plot_model() succesfully completed......................................
- 2022-02-07 15:53:30,113:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=64, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=1504, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 15:53:30,115:INFO:Checking exceptions
- 2022-02-07 15:53:30,117:INFO:Preparing display monitor
- 2022-02-07 15:53:30,122:INFO:Preloading libraries
- 2022-02-07 15:53:30,420:INFO:Copying training dataset
- 2022-02-07 15:53:30,421:INFO:Copying test dataset
- 2022-02-07 15:53:30,421:INFO:Plot type: confusion_matrix
- 2022-02-07 15:53:30,427:INFO:Initializing get_config()
- 2022-02-07 15:53:30,427:INFO:get_config(variable=prep_pipe)
- 2022-02-07 15:53:30,430:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 15:53:30,430:INFO:get_config() succesfully completed......................................
- 2022-02-07 15:53:30,438:INFO:Fitting Model
- 2022-02-07 15:53:30,439:INFO:Scoring test/hold-out set
- 2022-02-07 15:53:30,545:INFO:Visual Rendered Successfully
- 2022-02-07 15:53:30,698:INFO:plot_model() succesfully completed......................................
- 2022-02-07 15:54:17,997:INFO:PyCaret Supervised Module
- 2022-02-07 15:54:17,997:INFO:ML Usecase: classification
- 2022-02-07 15:54:17,997:INFO:version 2.3.6
- 2022-02-07 15:54:17,997:INFO:Initializing setup()
- 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)
- 2022-02-07 15:54:17,997:INFO:Checking environment
- 2022-02-07 15:54:17,997:INFO:python_version: 3.8.12
- 2022-02-07 15:54:17,997:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-07 15:54:17,998:INFO:machine: AMD64
- 2022-02-07 15:54:17,998:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-07 15:54:17,998:INFO:Memory: svmem(total=68629372928, available=52433874944, percent=23.6, used=16195497984, free=52433874944)
- 2022-02-07 15:54:17,998:INFO:Physical Core: 16
- 2022-02-07 15:54:17,998:INFO:Logical Core: 32
- 2022-02-07 15:54:17,998:INFO:Checking libraries
- 2022-02-07 15:54:17,998:INFO:pd==1.3.5
- 2022-02-07 15:54:17,998:INFO:numpy==1.21.5
- 2022-02-07 15:54:17,998:INFO:sklearn==0.23.2
- 2022-02-07 15:54:17,998:INFO:lightgbm==3.3.2
- 2022-02-07 15:54:18,013:INFO:catboost==1.0.4
- 2022-02-07 15:54:18,113:INFO:xgboost==1.5.2
- 2022-02-07 15:54:18,449:INFO:mlflow==1.23.1
- 2022-02-07 15:54:18,449:INFO:Checking Exceptions
- 2022-02-07 15:54:18,450:INFO:Declaring global variables
- 2022-02-07 15:54:18,450:INFO:USI: 5a58
- 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'}
- 2022-02-07 15:54:18,450:INFO:Preparing display monitor
- 2022-02-07 15:54:18,450:INFO:Preparing display monitor
- 2022-02-07 15:54:18,460:INFO:Importing libraries
- 2022-02-07 15:54:18,460:INFO:Copying data for preprocessing
- 2022-02-07 15:54:18,466:INFO:Declaring preprocessing parameters
- 2022-02-07 15:54:18,467:WARNING:cuML not found
- 2022-02-07 15:54:18,467:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-07 15:54:18,470:INFO:Creating preprocessing pipeline
- 2022-02-07 15:54:18,525:INFO:Preprocessing pipeline created successfully
- 2022-02-07 15:54:18,525:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-07 15:54:18,525:INFO:Creating global containers
- 2022-02-07 15:54:18,527:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-07 15:54:20,800:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 15:54:20,833:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 15:54:20,835:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 15:54:20,836:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 15:54:20,857:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 15:54:20,861:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 15:54:21,028:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-07 15:54:21,088:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-07 15:54:21,089:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-07 15:54:21,091:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-07 15:54:21,121:WARNING:Couldn't import cuml.linear_model
- 2022-02-07 15:54:21,125:WARNING:Couldn't import cuml.ensemble
- 2022-02-07 15:54:21,256:INFO:Creating grid variables
- 2022-02-07 15:54:21,269:INFO:create_model_container: 0
- 2022-02-07 15:54:21,269:INFO:master_model_container: 0
- 2022-02-07 15:54:21,269:INFO:display_container: 1
- 2022-02-07 15:54:21,275:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 15:54:21,275:INFO:setup() succesfully completed......................................
- 2022-02-07 15:54:24,887:INFO:Initializing create_model()
- 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})
- 2022-02-07 15:54:24,888:INFO:Checking exceptions
- 2022-02-07 15:54:24,888:INFO:Preparing display monitor
- 2022-02-07 15:54:24,899:INFO:Importing libraries
- 2022-02-07 15:54:24,899:INFO:Copying training dataset
- 2022-02-07 15:54:24,900:INFO:Defining folds
- 2022-02-07 15:54:24,900:INFO:Declaring metric variables
- 2022-02-07 15:54:24,905:INFO:Importing untrained model
- 2022-02-07 15:54:24,910:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 15:54:24,920:INFO:Starting cross validation
- 2022-02-07 15:54:24,921:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 15:54:37,335:INFO:Calculating mean and std
- 2022-02-07 15:54:37,336:INFO:Creating metrics dataframe
- 2022-02-07 15:54:37,346:INFO:Finalizing model
- 2022-02-07 15:54:38,355:INFO:Uploading results into container
- 2022-02-07 15:54:38,355:INFO:Uploading model into container now
- 2022-02-07 15:54:38,363:INFO:create_model_container: 1
- 2022-02-07 15:54:38,363:INFO:master_model_container: 1
- 2022-02-07 15:54:38,363:INFO:display_container: 2
- 2022-02-07 15:54:38,364:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 15:54:38,364:INFO:create_model() succesfully completed......................................
- 2022-02-07 15:54:52,151:INFO:Initializing tune_model()
- 2022-02-07 15:54:52,152:INFO:tune_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-07 15:54:52,152:INFO:Checking exceptions
- 2022-02-07 15:54:52,152:INFO:Preparing display monitor
- 2022-02-07 15:54:52,163:INFO:Copying training dataset
- 2022-02-07 15:54:52,164:INFO:Checking base model
- 2022-02-07 15:54:52,164:INFO:Base model : Extreme Gradient Boosting
- 2022-02-07 15:54:52,170:INFO:Declaring metric variables
- 2022-02-07 15:54:52,175:INFO:Defining Hyperparameters
- 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]}
- 2022-02-07 15:54:52,264:INFO:Tuning with n_jobs=1
- 2022-02-07 15:54:52,264:INFO:Initializing RandomizedSearchCV
- 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}
- 2022-02-07 16:06:58,596:INFO:Hyperparameter search completed
- 2022-02-07 16:06:58,596:INFO:SubProcess create_model() called ==================================
- 2022-02-07 16:06:58,597:INFO:Initializing create_model()
- 2022-02-07 16:06:58,597:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
- gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.300000012,
- max_delta_step=0, max_depth=8, max_leaves=256, min_child_weight=1,
- missing=nan, monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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})
- 2022-02-07 16:06:58,597:INFO:Checking exceptions
- 2022-02-07 16:06:58,597:INFO:Importing libraries
- 2022-02-07 16:06:58,597:INFO:Copying training dataset
- 2022-02-07 16:06:58,599:INFO:Defining folds
- 2022-02-07 16:06:58,599:INFO:Declaring metric variables
- 2022-02-07 16:06:58,605:INFO:Importing untrained model
- 2022-02-07 16:06:58,605:INFO:Declaring custom model
- 2022-02-07 16:06:58,613:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 16:06:58,625:INFO:Starting cross validation
- 2022-02-07 16:06:58,626:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 16:08:54,655:INFO:Calculating mean and std
- 2022-02-07 16:08:54,656:INFO:Creating metrics dataframe
- 2022-02-07 16:08:54,666:INFO:Finalizing model
- 2022-02-07 16:09:06,436:INFO:Uploading results into container
- 2022-02-07 16:09:06,436:INFO:Uploading model into container now
- 2022-02-07 16:09:06,436:INFO:create_model_container: 2
- 2022-02-07 16:09:06,436:INFO:master_model_container: 2
- 2022-02-07 16:09:06,436:INFO:display_container: 3
- 2022-02-07 16:09:06,437:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:09:06,437:INFO:create_model() succesfully completed......................................
- 2022-02-07 16:09:06,513:INFO:SubProcess create_model() end ==================================
- 2022-02-07 16:09:06,521:INFO:create_model_container: 2
- 2022-02-07 16:09:06,521:INFO:master_model_container: 2
- 2022-02-07 16:09:06,521:INFO:display_container: 3
- 2022-02-07 16:09:06,522:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:09:06,522:INFO:tune_model() succesfully completed......................................
- 2022-02-07 16:27:22,917:INFO:Initializing finalize_model()
- 2022-02-07 16:27:22,917:INFO:finalize_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fit_kwargs=None, groups=None, model_only=True, display=None)
- 2022-02-07 16:27:22,918:INFO:Finalizing XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:27:22,919:INFO:Initializing create_model()
- 2022-02-07 16:27:22,919:INFO:create_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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={})
- 2022-02-07 16:27:22,919:INFO:Checking exceptions
- 2022-02-07 16:27:22,919:INFO:Importing libraries
- 2022-02-07 16:27:22,919:INFO:Copying training dataset
- 2022-02-07 16:27:22,921:INFO:Defining folds
- 2022-02-07 16:27:22,921:INFO:Declaring metric variables
- 2022-02-07 16:27:22,921:INFO:Importing untrained model
- 2022-02-07 16:27:22,921:INFO:Declaring custom model
- 2022-02-07 16:27:22,922:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-07 16:27:22,922:INFO:Starting cross validation
- 2022-02-07 16:27:22,923:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-07 16:29:34,627:INFO:Calculating mean and std
- 2022-02-07 16:29:34,628:INFO:Creating metrics dataframe
- 2022-02-07 16:29:34,630:INFO:Finalizing model
- 2022-02-07 16:29:48,339:INFO:create_model_container: 2
- 2022-02-07 16:29:48,340:INFO:master_model_container: 2
- 2022-02-07 16:29:48,340:INFO:display_container: 4
- 2022-02-07 16:29:48,341:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:29:48,341:INFO:create_model() succesfully completed......................................
- 2022-02-07 16:29:48,426:INFO:create_model_container: 2
- 2022-02-07 16:29:48,427:INFO:master_model_container: 2
- 2022-02-07 16:29:48,427:INFO:display_container: 3
- 2022-02-07 16:29:48,428:INFO:XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...)
- 2022-02-07 16:29:48,428:INFO:finalize_model() succesfully completed......................................
- 2022-02-07 16:29:48,524:INFO:Initializing save_model()
- 2022-02-07 16:29:48,524:INFO:save_model(model=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), model_name=tuned_xgboost_0207, prep_pipe_=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False), verbose=True, kwargs={})
- 2022-02-07 16:29:48,524:INFO:Adding model into prep_pipe
- 2022-02-07 16:29:48,771:INFO:tuned_xgboost_0207.pkl saved in current working directory
- 2022-02-07 16:29:48,778:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False)
- 2022-02-07 16:29:48,779:INFO:save_model() successfully completed......................................
- 2022-02-07 16:29:48,861:INFO:Initializing predict_model()
- 2022-02-07 16:29:48,861:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:29:48,861:INFO:Checking exceptions
- 2022-02-07 16:29:48,861:INFO:Preloading libraries
- 2022-02-07 16:29:48,861:INFO:Preparing display monitor
- 2022-02-07 16:40:58,715:INFO:Initializing predict_model()
- 2022-02-07 16:40:58,715:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:40:58,715:INFO:Checking exceptions
- 2022-02-07 16:40:58,716:INFO:Preloading libraries
- 2022-02-07 16:40:58,716:INFO:Preparing display monitor
- 2022-02-07 16:41:14,873:INFO:Initializing predict_model()
- 2022-02-07 16:41:14,873:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:41:14,873:INFO:Checking exceptions
- 2022-02-07 16:41:14,873:INFO:Preloading libraries
- 2022-02-07 16:41:14,873:INFO:Preparing display monitor
- 2022-02-07 16:42:02,306:INFO:Initializing predict_model()
- 2022-02-07 16:42:02,307:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:42:02,307:INFO:Checking exceptions
- 2022-02-07 16:42:02,307:INFO:Preloading libraries
- 2022-02-07 16:42:02,307:INFO:Preparing display monitor
- 2022-02-07 16:42:08,151:INFO:Initializing predict_model()
- 2022-02-07 16:42:08,151:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:42:08,151:INFO:Checking exceptions
- 2022-02-07 16:42:08,151:INFO:Preloading libraries
- 2022-02-07 16:42:08,151:INFO:Preparing display monitor
- 2022-02-07 16:42:12,479:INFO:Initializing predict_model()
- 2022-02-07 16:42:12,480:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:42:12,480:INFO:Checking exceptions
- 2022-02-07 16:42:12,480:INFO:Preloading libraries
- 2022-02-07 16:42:12,480:INFO:Preparing display monitor
- 2022-02-07 16:42:36,568:INFO:Initializing predict_model()
- 2022-02-07 16:42:36,568:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:42:36,568:INFO:Checking exceptions
- 2022-02-07 16:42:36,568:INFO:Preloading libraries
- 2022-02-07 16:42:36,568:INFO:Preparing display monitor
- 2022-02-07 16:45:18,004:INFO:Initializing predict_model()
- 2022-02-07 16:45:18,004:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:45:18,004:INFO:Checking exceptions
- 2022-02-07 16:45:18,004:INFO:Preloading libraries
- 2022-02-07 16:45:18,004:INFO:Preparing display monitor
- 2022-02-07 16:46:24,221:INFO:Initializing predict_model()
- 2022-02-07 16:46:24,221:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:46:24,221:INFO:Checking exceptions
- 2022-02-07 16:46:24,221:INFO:Preloading libraries
- 2022-02-07 16:46:24,221:INFO:Preparing display monitor
- 2022-02-07 16:47:05,594:INFO:Initializing predict_model()
- 2022-02-07 16:47:05,594:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:47:05,594:INFO:Checking exceptions
- 2022-02-07 16:47:05,594:INFO:Preloading libraries
- 2022-02-07 16:47:05,594:INFO:Preparing display monitor
- 2022-02-07 16:47:09,727:INFO:Initializing predict_model()
- 2022-02-07 16:47:09,728:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:47:09,728:INFO:Checking exceptions
- 2022-02-07 16:47:09,728:INFO:Preloading libraries
- 2022-02-07 16:47:09,728:INFO:Preparing display monitor
- 2022-02-07 16:47:20,301:INFO:Initializing predict_model()
- 2022-02-07 16:47:20,301:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 16:47:20,301:INFO:Checking exceptions
- 2022-02-07 16:47:20,301:INFO:Preloading libraries
- 2022-02-07 16:47:20,301:INFO:Preparing display monitor
- 2022-02-07 17:02:13,972:INFO:Initializing evaluate_model()
- 2022-02-07 17:02:13,972:INFO:evaluate_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1, ...), fold=None, fit_kwargs=None, plot_kwargs=None, feature_name=None, groups=None, use_train_data=False)
- 2022-02-07 17:02:13,986:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:13,987:INFO:Checking exceptions
- 2022-02-07 17:02:13,990:INFO:Preparing display monitor
- 2022-02-07 17:02:13,994:INFO:Preloading libraries
- 2022-02-07 17:02:14,290:INFO:Copying training dataset
- 2022-02-07 17:02:14,292:INFO:Copying test dataset
- 2022-02-07 17:02:14,292:INFO:Plot type: parameter
- 2022-02-07 17:02:14,303:INFO:Visual Rendered Successfully
- 2022-02-07 17:02:14,411:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:02:16,480:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:16,481:INFO:Checking exceptions
- 2022-02-07 17:02:16,484:INFO:Preparing display monitor
- 2022-02-07 17:02:16,488:INFO:Preloading libraries
- 2022-02-07 17:02:16,771:INFO:Copying training dataset
- 2022-02-07 17:02:16,772:INFO:Copying test dataset
- 2022-02-07 17:02:16,772:INFO:Plot type: confusion_matrix
- 2022-02-07 17:02:16,780:INFO:Initializing get_config()
- 2022-02-07 17:02:16,780:INFO:get_config(variable=prep_pipe)
- 2022-02-07 17:02:16,783:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 17:02:16,783:INFO:get_config() succesfully completed......................................
- 2022-02-07 17:02:16,794:INFO:Fitting Model
- 2022-02-07 17:02:16,796:INFO:Scoring test/hold-out set
- 2022-02-07 17:02:16,951:INFO:Visual Rendered Successfully
- 2022-02-07 17:02:17,051:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:02:25,458:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:25,458:INFO:Checking exceptions
- 2022-02-07 17:02:25,461:INFO:Preparing display monitor
- 2022-02-07 17:02:25,465:INFO:Preloading libraries
- 2022-02-07 17:02:25,767:INFO:Copying training dataset
- 2022-02-07 17:02:25,769:INFO:Copying test dataset
- 2022-02-07 17:02:25,769:INFO:Plot type: lift
- 2022-02-07 17:02:25,776:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 17:02:26,209:INFO:Visual Rendered Successfully
- 2022-02-07 17:02:26,319:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:02:29,212:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:29,212:INFO:Checking exceptions
- 2022-02-07 17:02:29,215:INFO:Preparing display monitor
- 2022-02-07 17:02:29,219:INFO:Preloading libraries
- 2022-02-07 17:02:29,519:INFO:Copying training dataset
- 2022-02-07 17:02:29,521:INFO:Copying test dataset
- 2022-02-07 17:02:29,521:INFO:Plot type: gain
- 2022-02-07 17:02:29,528:INFO:Generating predictions / predict_proba on X_test
- 2022-02-07 17:02:29,953:INFO:Visual Rendered Successfully
- 2022-02-07 17:02:30,057:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:02:40,994:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:02:40,994:INFO:Checking exceptions
- 2022-02-07 17:02:40,997:INFO:Preparing display monitor
- 2022-02-07 17:02:41,001:INFO:Preloading libraries
- 2022-02-07 17:02:41,302:INFO:Copying training dataset
- 2022-02-07 17:02:41,303:INFO:Copying test dataset
- 2022-02-07 17:02:41,303:INFO:Plot type: vc
- 2022-02-07 17:02:41,310:INFO:Determining param_name
- 2022-02-07 17:02:41,311:INFO:param_name: actual_estimator__max_depth
- 2022-02-07 17:02:41,324:INFO:Fitting Model
- 2022-02-07 17:04:10,018:INFO:Visual Rendered Successfully
- 2022-02-07 17:04:10,123:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:04:35,286:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:04:35,287:INFO:Checking exceptions
- 2022-02-07 17:04:35,290:INFO:Preparing display monitor
- 2022-02-07 17:04:35,294:INFO:Preloading libraries
- 2022-02-07 17:04:35,602:INFO:Copying training dataset
- 2022-02-07 17:04:35,603:INFO:Copying test dataset
- 2022-02-07 17:04:35,604:INFO:Plot type: auc
- 2022-02-07 17:04:35,610:INFO:Initializing get_config()
- 2022-02-07 17:04:35,610:INFO:get_config(variable=prep_pipe)
- 2022-02-07 17:04:35,614:INFO:Global variable: prep_pipe returned as Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-07 17:04:35,614:INFO:get_config() succesfully completed......................................
- 2022-02-07 17:04:35,622:INFO:Fitting Model
- 2022-02-07 17:04:35,623:INFO:Scoring test/hold-out set
- 2022-02-07 17:04:35,770:INFO:Visual Rendered Successfully
- 2022-02-07 17:04:35,870:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:04:38,824:INFO:Initializing plot_model()
- 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,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:04:38,824:INFO:Checking exceptions
- 2022-02-07 17:04:38,828:INFO:Preparing display monitor
- 2022-02-07 17:04:38,832:INFO:Preloading libraries
- 2022-02-07 17:04:39,127:INFO:Copying training dataset
- 2022-02-07 17:04:39,127:INFO:Copying test dataset
- 2022-02-07 17:04:39,128:INFO:Plot type: vc
- 2022-02-07 17:04:39,134:INFO:Determining param_name
- 2022-02-07 17:04:39,135:INFO:param_name: actual_estimator__max_depth
- 2022-02-07 17:04:39,143:INFO:Fitting Model
- 2022-02-07 17:06:06,017:INFO:Visual Rendered Successfully
- 2022-02-07 17:06:06,123:INFO:plot_model() succesfully completed......................................
- 2022-02-07 17:06:34,598:INFO:Initializing predict_model()
- 2022-02-07 17:06:34,598:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-07 17:06:34,598:INFO:Checking exceptions
- 2022-02-07 17:06:34,598:INFO:Preloading libraries
- 2022-02-07 17:06:34,598:INFO:Preparing display monitor
- 2022-02-08 09:39:59,359:INFO:Initializing predict_model()
- 2022-02-08 09:39:59,359:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:39:59,359:INFO:Checking exceptions
- 2022-02-08 09:39:59,359:INFO:Preloading libraries
- 2022-02-08 09:39:59,359:INFO:Preparing display monitor
- 2022-02-08 09:40:21,354:INFO:Initializing predict_model()
- 2022-02-08 09:40:21,355:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:40:21,355:INFO:Checking exceptions
- 2022-02-08 09:40:21,355:INFO:Preloading libraries
- 2022-02-08 09:40:21,355:INFO:Preparing display monitor
- 2022-02-08 09:41:04,152:INFO:Initializing predict_model()
- 2022-02-08 09:41:04,152:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:41:04,152:INFO:Checking exceptions
- 2022-02-08 09:41:04,153:INFO:Preloading libraries
- 2022-02-08 09:41:04,153:INFO:Preparing display monitor
- 2022-02-08 09:41:07,602:INFO:Initializing predict_model()
- 2022-02-08 09:41:07,602:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:41:07,602:INFO:Checking exceptions
- 2022-02-08 09:41:07,602:INFO:Preloading libraries
- 2022-02-08 09:41:07,603:INFO:Preparing display monitor
- 2022-02-08 09:41:35,620:INFO:Initializing predict_model()
- 2022-02-08 09:41:35,621:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:41:35,621:INFO:Checking exceptions
- 2022-02-08 09:41:35,621:INFO:Preloading libraries
- 2022-02-08 09:41:35,621:INFO:Preparing display monitor
- 2022-02-08 09:41:44,516:INFO:Initializing predict_model()
- 2022-02-08 09:41:44,516:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:41:44,516:INFO:Checking exceptions
- 2022-02-08 09:41:44,516:INFO:Preloading libraries
- 2022-02-08 09:41:44,516:INFO:Preparing display monitor
- 2022-02-08 09:42:08,746:INFO:Initializing predict_model()
- 2022-02-08 09:42:08,746:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:42:08,746:INFO:Checking exceptions
- 2022-02-08 09:42:08,746:INFO:Preloading libraries
- 2022-02-08 09:42:08,746:INFO:Preparing display monitor
- 2022-02-08 09:42:19,789:INFO:Initializing predict_model()
- 2022-02-08 09:42:19,789:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:42:19,789:INFO:Checking exceptions
- 2022-02-08 09:42:19,789:INFO:Preloading libraries
- 2022-02-08 09:42:19,789:INFO:Preparing display monitor
- 2022-02-08 09:42:26,235:INFO:Initializing predict_model()
- 2022-02-08 09:42:26,235:INFO:predict_model(estimator=XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
- colsample_bynode=1, colsample_bytree=0.6,
- enable_categorical=False, gamma=0, gpu_id=0, importance_type=None,
- interaction_constraints='', learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024, min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100, n_jobs=-1,
- num_parallel_tree=1, objective='binary:logistic',
- predictor='auto', random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1, tree_method='gpu_hist',
- 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)
- 2022-02-08 09:42:26,235:INFO:Checking exceptions
- 2022-02-08 09:42:26,235:INFO:Preloading libraries
- 2022-02-08 09:42:26,235:INFO:Preparing display monitor
- 2022-02-08 16:02:29,206:INFO:PyCaret Supervised Module
- 2022-02-08 16:02:29,206:INFO:ML Usecase: classification
- 2022-02-08 16:02:29,206:INFO:version 2.3.6
- 2022-02-08 16:02:29,206:INFO:Initializing setup()
- 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)
- 2022-02-08 16:02:29,206:INFO:Checking environment
- 2022-02-08 16:02:29,207:INFO:python_version: 3.8.12
- 2022-02-08 16:02:29,207:INFO:python_build: ('default', 'Oct 12 2021 21:19:05')
- 2022-02-08 16:02:29,207:INFO:machine: AMD64
- 2022-02-08 16:02:29,207:INFO:platform: Windows-10-10.0.22000-SP0
- 2022-02-08 16:02:29,207:INFO:Memory: svmem(total=68629372928, available=49740906496, percent=27.5, used=18888466432, free=49740906496)
- 2022-02-08 16:02:29,207:INFO:Physical Core: 16
- 2022-02-08 16:02:29,207:INFO:Logical Core: 32
- 2022-02-08 16:02:29,207:INFO:Checking libraries
- 2022-02-08 16:02:29,207:INFO:pd==1.3.5
- 2022-02-08 16:02:29,207:INFO:numpy==1.21.5
- 2022-02-08 16:02:29,207:INFO:sklearn==0.23.2
- 2022-02-08 16:02:29,207:INFO:lightgbm==3.3.2
- 2022-02-08 16:02:29,412:INFO:catboost==1.0.4
- 2022-02-08 16:02:29,748:INFO:xgboost==1.5.2
- 2022-02-08 16:02:30,046:INFO:mlflow==1.23.1
- 2022-02-08 16:02:30,047:INFO:Checking Exceptions
- 2022-02-08 16:02:30,047:INFO:Declaring global variables
- 2022-02-08 16:02:30,047:INFO:USI: a3a1
- 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'}
- 2022-02-08 16:02:30,047:INFO:Preparing display monitor
- 2022-02-08 16:02:30,047:INFO:Preparing display monitor
- 2022-02-08 16:02:30,057:INFO:Importing libraries
- 2022-02-08 16:02:30,057:INFO:Copying data for preprocessing
- 2022-02-08 16:02:30,062:INFO:Declaring preprocessing parameters
- 2022-02-08 16:02:30,063:WARNING:cuML not found
- 2022-02-08 16:02:30,063:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-08 16:02:30,066:INFO:Creating preprocessing pipeline
- 2022-02-08 16:02:30,118:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:02:30,118:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:02:30,118:INFO:Creating global containers
- 2022-02-08 16:02:30,121:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:02:31,384:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:02:31,419:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:02:31,421:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:02:31,422:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:02:31,443:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:02:31,447:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:02:31,855:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:02:31,917:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:02:31,918:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:02:31,919:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:02:31,952:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:02:31,956:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:02:32,098:INFO:Creating grid variables
- 2022-02-08 16:02:32,111:INFO:create_model_container: 0
- 2022-02-08 16:02:32,111:INFO:master_model_container: 0
- 2022-02-08 16:02:32,111:INFO:display_container: 1
- 2022-02-08 16:02:32,117:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:02:32,117:INFO:setup() succesfully completed......................................
- 2022-02-08 16:03:55,539:INFO:Initializing load_model()
- 2022-02-08 16:03:55,539:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:03:55,794:INFO:Initializing predict_model()
- 2022-02-08 16:03:55,794:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:03:55,794:INFO:Checking exceptions
- 2022-02-08 16:03:55,794:INFO:Preloading libraries
- 2022-02-08 16:03:55,794:INFO:Preparing display monitor
- 2022-02-08 16:04:11,126:INFO:Initializing load_model()
- 2022-02-08 16:04:11,126:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:04:11,305:INFO:Initializing predict_model()
- 2022-02-08 16:04:11,305:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:04:11,306:INFO:Checking exceptions
- 2022-02-08 16:04:11,306:INFO:Preloading libraries
- 2022-02-08 16:04:11,306:INFO:Preparing display monitor
- 2022-02-08 16:04:27,078:INFO:Initializing load_model()
- 2022-02-08 16:04:27,078:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:04:27,259:INFO:Initializing predict_model()
- 2022-02-08 16:04:27,259:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:04:27,259:INFO:Checking exceptions
- 2022-02-08 16:04:27,259:INFO:Preloading libraries
- 2022-02-08 16:04:27,259:INFO:Preparing display monitor
- 2022-02-08 16:04:59,823:INFO:Initializing load_model()
- 2022-02-08 16:04:59,823:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:05:00,016:INFO:Initializing predict_model()
- 2022-02-08 16:05:00,016:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:05:00,016:INFO:Checking exceptions
- 2022-02-08 16:05:00,016:INFO:Preloading libraries
- 2022-02-08 16:05:00,016:INFO:Preparing display monitor
- 2022-02-08 16:05:07,611:INFO:Initializing load_model()
- 2022-02-08 16:05:07,612:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:05:07,794:INFO:Initializing predict_model()
- 2022-02-08 16:05:07,794:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:05:07,794:INFO:Checking exceptions
- 2022-02-08 16:05:07,794:INFO:Preloading libraries
- 2022-02-08 16:05:07,794:INFO:Preparing display monitor
- 2022-02-08 16:05:12,357:INFO:Initializing load_model()
- 2022-02-08 16:05:12,357:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:05:12,540:INFO:Initializing predict_model()
- 2022-02-08 16:05:12,540:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:05:12,540:INFO:Checking exceptions
- 2022-02-08 16:05:12,540:INFO:Preloading libraries
- 2022-02-08 16:05:12,540:INFO:Preparing display monitor
- 2022-02-08 16:05:21,474:INFO:Initializing load_model()
- 2022-02-08 16:05:21,474:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:05:21,657:INFO:Initializing predict_model()
- 2022-02-08 16:05:21,657:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- max_delta_step=0, max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', predictor='auto',
- random_state=8985, reg_alpha=0, reg_lambda=1,
- scale_pos_weight=1, subsample=1,
- tree_method='gpu_hist', use_label_encoder=True,
- validate_parameters=1, ...)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 16:05:21,657:INFO:Checking exceptions
- 2022-02-08 16:05:21,657:INFO:Preloading libraries
- 2022-02-08 16:05:21,657:INFO:Preparing display monitor
- 2022-02-08 16:15:36,621:INFO:PyCaret Supervised Module
- 2022-02-08 16:15:36,621:INFO:ML Usecase: classification
- 2022-02-08 16:15:36,621:INFO:version 2.3.6
- 2022-02-08 16:15:36,621:INFO:Initializing setup()
- 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)
- 2022-02-08 16:15:36,622:INFO:Checking environment
- 2022-02-08 16:15:36,622:INFO:python_version: 3.8.8
- 2022-02-08 16:15:36,622:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 16:15:36,622:INFO:machine: x86_64
- 2022-02-08 16:15:36,622:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 16:15:36,623:INFO:Physical Core: 16
- 2022-02-08 16:15:36,624:INFO:Logical Core: 32
- 2022-02-08 16:15:36,624:INFO:Checking libraries
- 2022-02-08 16:15:36,624:INFO:pd==1.2.4
- 2022-02-08 16:15:36,624:INFO:numpy==1.19.5
- 2022-02-08 16:15:36,624:INFO:sklearn==0.23.2
- 2022-02-08 16:15:36,624:INFO:lightgbm==3.3.2
- 2022-02-08 16:15:36,625:WARNING:catboost not found
- 2022-02-08 16:15:36,661:INFO:xgboost==1.5.2
- 2022-02-08 16:15:36,788:INFO:mlflow==1.22.0
- 2022-02-08 16:15:36,789:INFO:Checking Exceptions
- 2022-02-08 16:15:36,790:INFO:Declaring global variables
- 2022-02-08 16:15:36,790:INFO:USI: 1750
- 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'}
- 2022-02-08 16:15:36,791:INFO:Preparing display monitor
- 2022-02-08 16:15:36,791:INFO:Preparing display monitor
- 2022-02-08 16:15:36,804:INFO:Importing libraries
- 2022-02-08 16:15:36,804:INFO:Copying data for preprocessing
- 2022-02-08 16:15:36,812:INFO:Declaring preprocessing parameters
- 2022-02-08 16:15:36,817:INFO:Creating preprocessing pipeline
- 2022-02-08 16:15:36,866:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:15:36,866:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:15:36,866:INFO:Creating global containers
- 2022-02-08 16:15:36,868:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:15:38,889:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:15:38,935:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:15:38,936:INFO:Creating grid variables
- 2022-02-08 16:15:38,946:INFO:create_model_container: 0
- 2022-02-08 16:15:38,946:INFO:master_model_container: 0
- 2022-02-08 16:15:38,946:INFO:display_container: 1
- 2022-02-08 16:15:38,949:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:15:38,949:INFO:setup() succesfully completed......................................
- 2022-02-08 16:15:47,477:INFO:Initializing load_model()
- 2022-02-08 16:15:47,477:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 16:16:34,967:INFO:PyCaret Supervised Module
- 2022-02-08 16:16:34,967:INFO:ML Usecase: classification
- 2022-02-08 16:16:34,968:INFO:version 2.3.6
- 2022-02-08 16:16:34,968:INFO:Initializing setup()
- 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)
- 2022-02-08 16:16:34,968:INFO:Checking environment
- 2022-02-08 16:16:34,969:INFO:python_version: 3.8.8
- 2022-02-08 16:16:34,969:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 16:16:34,969:INFO:machine: x86_64
- 2022-02-08 16:16:34,969:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 16:16:34,970:INFO:Physical Core: 16
- 2022-02-08 16:16:34,970:INFO:Logical Core: 32
- 2022-02-08 16:16:34,970:INFO:Checking libraries
- 2022-02-08 16:16:34,970:INFO:pd==1.2.4
- 2022-02-08 16:16:34,971:INFO:numpy==1.19.5
- 2022-02-08 16:16:34,971:INFO:sklearn==0.23.2
- 2022-02-08 16:16:34,971:INFO:lightgbm==3.3.2
- 2022-02-08 16:16:34,971:WARNING:catboost not found
- 2022-02-08 16:16:34,972:INFO:xgboost==1.5.2
- 2022-02-08 16:16:34,972:INFO:mlflow==1.22.0
- 2022-02-08 16:16:34,972:INFO:Checking Exceptions
- 2022-02-08 16:16:34,972:INFO:Declaring global variables
- 2022-02-08 16:16:34,972:INFO:USI: 841b
- 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'}
- 2022-02-08 16:16:34,972:INFO:Preparing display monitor
- 2022-02-08 16:16:34,973:INFO:Preparing display monitor
- 2022-02-08 16:16:34,980:INFO:Importing libraries
- 2022-02-08 16:16:34,980:INFO:Copying data for preprocessing
- 2022-02-08 16:16:34,986:INFO:Declaring preprocessing parameters
- 2022-02-08 16:16:34,986:WARNING:cuML not found
- 2022-02-08 16:16:34,987:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.5.2
- 2022-02-08 16:16:34,989:INFO:Creating preprocessing pipeline
- 2022-02-08 16:16:35,034:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:16:35,034:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:16:35,034:INFO:Creating global containers
- 2022-02-08 16:16:35,035:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:16:36,864:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:16:36,892:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:16:36,892:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:16:36,893:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:16:36,907:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:16:36,910:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:16:36,927:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:16:36,927:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:16:36,957:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:16:36,957:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:16:36,958:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:16:36,972:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:16:36,975:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:16:36,981:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:16:36,981:INFO:Creating grid variables
- 2022-02-08 16:16:36,992:INFO:create_model_container: 0
- 2022-02-08 16:16:36,992:INFO:master_model_container: 0
- 2022-02-08 16:16:36,992:INFO:display_container: 1
- 2022-02-08 16:16:36,995:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:16:36,995:INFO:setup() succesfully completed......................................
- 2022-02-08 16:16:46,664:INFO:Initializing create_model()
- 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})
- 2022-02-08 16:16:46,664:INFO:Checking exceptions
- 2022-02-08 16:16:46,664:INFO:Preparing display monitor
- 2022-02-08 16:16:46,675:INFO:Importing libraries
- 2022-02-08 16:16:46,676:INFO:Copying training dataset
- 2022-02-08 16:16:46,677:INFO:Defining folds
- 2022-02-08 16:16:46,677:INFO:Declaring metric variables
- 2022-02-08 16:16:46,682:INFO:Importing untrained model
- 2022-02-08 16:16:46,687:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-08 16:16:46,697:INFO:Starting cross validation
- 2022-02-08 16:16:46,698:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-08 16:16:48,405:INFO:Calculating mean and std
- 2022-02-08 16:16:48,406:INFO:Creating metrics dataframe
- 2022-02-08 16:16:48,414:INFO:Finalizing model
- 2022-02-08 16:38:00,304:INFO:PyCaret Supervised Module
- 2022-02-08 16:38:00,305:INFO:ML Usecase: classification
- 2022-02-08 16:38:00,305:INFO:version 2.3.6
- 2022-02-08 16:38:00,305:INFO:Initializing setup()
- 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)
- 2022-02-08 16:38:00,306:INFO:Checking environment
- 2022-02-08 16:38:00,306:INFO:python_version: 3.8.8
- 2022-02-08 16:38:00,306:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 16:38:00,306:INFO:machine: x86_64
- 2022-02-08 16:38:00,306:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 16:38:00,307:INFO:Physical Core: 16
- 2022-02-08 16:38:00,307:INFO:Logical Core: 32
- 2022-02-08 16:38:00,308:INFO:Checking libraries
- 2022-02-08 16:38:00,308:INFO:pd==1.2.4
- 2022-02-08 16:38:00,308:INFO:numpy==1.19.5
- 2022-02-08 16:38:00,308:INFO:sklearn==0.23.2
- 2022-02-08 16:38:00,308:INFO:lightgbm==3.3.2
- 2022-02-08 16:38:00,309:WARNING:catboost not found
- 2022-02-08 16:38:00,320:INFO:xgboost==1.4.2
- 2022-02-08 16:38:00,448:INFO:mlflow==1.22.0
- 2022-02-08 16:38:00,449:INFO:Checking Exceptions
- 2022-02-08 16:38:00,449:INFO:Declaring global variables
- 2022-02-08 16:38:00,450:INFO:USI: 452f
- 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'}
- 2022-02-08 16:38:00,450:INFO:Preparing display monitor
- 2022-02-08 16:38:00,450:INFO:Preparing display monitor
- 2022-02-08 16:38:00,460:INFO:Importing libraries
- 2022-02-08 16:38:00,460:INFO:Copying data for preprocessing
- 2022-02-08 16:38:00,467:INFO:Declaring preprocessing parameters
- 2022-02-08 16:38:00,468:WARNING:cuML not found
- 2022-02-08 16:38:00,468:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-02-08 16:38:00,474:INFO:Creating preprocessing pipeline
- 2022-02-08 16:38:00,520:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:38:00,520:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:38:00,521:INFO:Creating global containers
- 2022-02-08 16:38:00,521:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:38:02,380:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:38:02,409:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:38:02,410:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:38:02,411:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:38:02,428:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:38:02,431:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:38:02,441:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:38:02,442:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:38:02,473:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:38:02,474:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:38:02,475:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:38:02,490:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:38:02,493:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:38:02,501:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:38:02,502:INFO:Creating grid variables
- 2022-02-08 16:38:02,514:INFO:create_model_container: 0
- 2022-02-08 16:38:02,514:INFO:master_model_container: 0
- 2022-02-08 16:38:02,515:INFO:display_container: 1
- 2022-02-08 16:38:02,518:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:38:02,518:INFO:setup() succesfully completed......................................
- 2022-02-08 16:38:05,703:INFO:Initializing create_model()
- 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})
- 2022-02-08 16:38:05,704:INFO:Checking exceptions
- 2022-02-08 16:38:05,704:INFO:Preparing display monitor
- 2022-02-08 16:38:05,716:INFO:Importing libraries
- 2022-02-08 16:38:05,716:INFO:Copying training dataset
- 2022-02-08 16:38:05,718:INFO:Defining folds
- 2022-02-08 16:38:05,718:INFO:Declaring metric variables
- 2022-02-08 16:38:05,724:INFO:Importing untrained model
- 2022-02-08 16:38:05,730:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-08 16:38:05,743:INFO:Starting cross validation
- 2022-02-08 16:38:05,744:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-08 16:38:06,328:INFO:Calculating mean and std
- 2022-02-08 16:38:06,329:INFO:Creating metrics dataframe
- 2022-02-08 16:38:06,338:INFO:Finalizing model
- 2022-02-08 16:40:02,413:INFO:PyCaret Supervised Module
- 2022-02-08 16:40:02,413:INFO:ML Usecase: classification
- 2022-02-08 16:40:02,414:INFO:version 2.3.6
- 2022-02-08 16:40:02,414:INFO:Initializing setup()
- 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)
- 2022-02-08 16:40:02,414:INFO:Checking environment
- 2022-02-08 16:40:02,414:INFO:python_version: 3.8.8
- 2022-02-08 16:40:02,418:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 16:40:02,418:INFO:machine: x86_64
- 2022-02-08 16:40:02,418:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 16:40:02,420:INFO:Physical Core: 16
- 2022-02-08 16:40:02,420:INFO:Logical Core: 32
- 2022-02-08 16:40:02,420:INFO:Checking libraries
- 2022-02-08 16:40:02,420:INFO:pd==1.2.4
- 2022-02-08 16:40:02,425:INFO:numpy==1.19.5
- 2022-02-08 16:40:02,426:INFO:sklearn==0.23.2
- 2022-02-08 16:40:02,426:INFO:lightgbm==3.3.2
- 2022-02-08 16:40:02,427:WARNING:catboost not found
- 2022-02-08 16:40:02,438:INFO:xgboost==1.4.2
- 2022-02-08 16:40:02,570:INFO:mlflow==1.22.0
- 2022-02-08 16:40:02,570:INFO:Checking Exceptions
- 2022-02-08 16:40:02,571:INFO:Declaring global variables
- 2022-02-08 16:40:02,571:INFO:USI: d47a
- 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'}
- 2022-02-08 16:40:02,571:INFO:Preparing display monitor
- 2022-02-08 16:40:02,572:INFO:Preparing display monitor
- 2022-02-08 16:40:02,581:INFO:Importing libraries
- 2022-02-08 16:40:02,582:INFO:Copying data for preprocessing
- 2022-02-08 16:40:02,588:INFO:Declaring preprocessing parameters
- 2022-02-08 16:40:02,589:WARNING:cuML not found
- 2022-02-08 16:40:02,589:WARNING:cuML is outdated or not found. Required version is >=0.15, got 1.4.2
- 2022-02-08 16:40:02,594:INFO:Creating preprocessing pipeline
- 2022-02-08 16:40:02,645:INFO:Preprocessing pipeline created successfully
- 2022-02-08 16:40:02,645:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 16:40:02,646:INFO:Creating global containers
- 2022-02-08 16:40:02,646:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 16:40:03,806:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:40:03,835:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:40:03,837:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:40:03,838:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:40:03,856:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:40:03,859:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:40:03,868:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:40:03,869:WARNING:Couldn't import cuml.linear_model.LogisticRegression
- 2022-02-08 16:40:03,901:WARNING:Couldn't import cuml.neighbors.KNeighborsClassifier
- 2022-02-08 16:40:03,901:WARNING:Couldn't import cuml.MBSGDClassifier
- 2022-02-08 16:40:03,902:WARNING:Couldn't import cuml.svm.SVC
- 2022-02-08 16:40:03,917:WARNING:Couldn't import cuml.linear_model
- 2022-02-08 16:40:03,921:WARNING:Couldn't import cuml.ensemble
- 2022-02-08 16:40:03,933:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 16:40:03,934:INFO:Creating grid variables
- 2022-02-08 16:40:03,949:INFO:create_model_container: 0
- 2022-02-08 16:40:03,949:INFO:master_model_container: 0
- 2022-02-08 16:40:03,949:INFO:display_container: 1
- 2022-02-08 16:40:03,953:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 16:40:03,953:INFO:setup() succesfully completed......................................
- 2022-02-08 16:40:13,380:INFO:Initializing create_model()
- 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})
- 2022-02-08 16:40:13,380:INFO:Checking exceptions
- 2022-02-08 16:40:13,380:INFO:Preparing display monitor
- 2022-02-08 16:40:13,392:INFO:Importing libraries
- 2022-02-08 16:40:13,392:INFO:Copying training dataset
- 2022-02-08 16:40:13,393:INFO:Defining folds
- 2022-02-08 16:40:13,393:INFO:Declaring metric variables
- 2022-02-08 16:40:13,399:INFO:Importing untrained model
- 2022-02-08 16:40:13,404:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-08 16:40:13,415:INFO:Starting cross validation
- 2022-02-08 16:40:13,416:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=1
- 2022-02-08 16:40:13,963:INFO:Calculating mean and std
- 2022-02-08 16:40:13,964:INFO:Creating metrics dataframe
- 2022-02-08 16:40:13,972:INFO:Finalizing model
- 2022-02-08 17:04:46,485:INFO:PyCaret Supervised Module
- 2022-02-08 17:04:46,486:INFO:ML Usecase: classification
- 2022-02-08 17:04:46,486:INFO:version 2.3.6
- 2022-02-08 17:04:46,486:INFO:Initializing setup()
- 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)
- 2022-02-08 17:04:46,486:INFO:Checking environment
- 2022-02-08 17:04:46,487:INFO:python_version: 3.8.8
- 2022-02-08 17:04:46,487:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 17:04:46,487:INFO:machine: x86_64
- 2022-02-08 17:04:46,487:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 17:04:46,488:INFO:Physical Core: 16
- 2022-02-08 17:04:46,488:INFO:Logical Core: 32
- 2022-02-08 17:04:46,488:INFO:Checking libraries
- 2022-02-08 17:04:46,489:INFO:pd==1.2.4
- 2022-02-08 17:04:46,489:INFO:numpy==1.19.5
- 2022-02-08 17:04:46,489:INFO:sklearn==0.23.2
- 2022-02-08 17:04:46,489:INFO:lightgbm==3.3.2
- 2022-02-08 17:04:46,490:WARNING:catboost not found
- 2022-02-08 17:04:46,490:INFO:xgboost==1.4.2
- 2022-02-08 17:04:46,490:INFO:mlflow==1.22.0
- 2022-02-08 17:04:46,491:INFO:Checking Exceptions
- 2022-02-08 17:04:46,491:INFO:Declaring global variables
- 2022-02-08 17:04:46,491:INFO:USI: 2fe2
- 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'}
- 2022-02-08 17:04:46,491:INFO:Preparing display monitor
- 2022-02-08 17:04:46,491:INFO:Preparing display monitor
- 2022-02-08 17:04:46,501:INFO:Importing libraries
- 2022-02-08 17:04:46,501:INFO:Copying data for preprocessing
- 2022-02-08 17:04:46,510:INFO:Declaring preprocessing parameters
- 2022-02-08 17:04:46,512:INFO:Creating preprocessing pipeline
- 2022-02-08 17:04:46,557:INFO:Preprocessing pipeline created successfully
- 2022-02-08 17:04:46,557:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 17:04:46,557:INFO:Creating global containers
- 2022-02-08 17:04:46,558:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 17:04:48,394:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 17:04:48,441:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 17:04:48,441:INFO:Creating grid variables
- 2022-02-08 17:04:48,451:INFO:create_model_container: 0
- 2022-02-08 17:04:48,451:INFO:master_model_container: 0
- 2022-02-08 17:04:48,451:INFO:display_container: 1
- 2022-02-08 17:04:48,454:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 17:04:48,454:INFO:setup() succesfully completed......................................
- 2022-02-08 17:04:53,768:INFO:Initializing create_model()
- 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})
- 2022-02-08 17:04:53,769:INFO:Checking exceptions
- 2022-02-08 17:04:53,769:INFO:Preparing display monitor
- 2022-02-08 17:04:53,780:INFO:Importing libraries
- 2022-02-08 17:04:53,780:INFO:Copying training dataset
- 2022-02-08 17:04:53,781:INFO:Defining folds
- 2022-02-08 17:04:53,781:INFO:Declaring metric variables
- 2022-02-08 17:04:53,786:INFO:Importing untrained model
- 2022-02-08 17:04:53,792:INFO:Extreme Gradient Boosting Imported succesfully
- 2022-02-08 17:04:53,802:INFO:Starting cross validation
- 2022-02-08 17:04:53,803:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1
- 2022-02-08 17:10:57,927:INFO:Initializing load_model()
- 2022-02-08 17:10:57,928:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 17:16:46,082:INFO:PyCaret Supervised Module
- 2022-02-08 17:16:46,082:INFO:ML Usecase: classification
- 2022-02-08 17:16:46,083:INFO:version 2.3.6
- 2022-02-08 17:16:46,083:INFO:Initializing setup()
- 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)
- 2022-02-08 17:16:46,083:INFO:Checking environment
- 2022-02-08 17:16:46,083:INFO:python_version: 3.8.8
- 2022-02-08 17:16:46,083:INFO:python_build: ('default', 'Apr 13 2021 19:58:26')
- 2022-02-08 17:16:46,084:INFO:machine: x86_64
- 2022-02-08 17:16:46,084:INFO:platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- 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)
- 2022-02-08 17:16:46,085:INFO:Physical Core: 16
- 2022-02-08 17:16:46,085:INFO:Logical Core: 32
- 2022-02-08 17:16:46,085:INFO:Checking libraries
- 2022-02-08 17:16:46,085:INFO:pd==1.3.0
- 2022-02-08 17:16:46,085:INFO:numpy==1.19.5
- 2022-02-08 17:16:46,085:INFO:sklearn==0.23.2
- 2022-02-08 17:16:46,086:INFO:lightgbm==3.3.2
- 2022-02-08 17:16:46,086:WARNING:catboost not found
- 2022-02-08 17:16:46,096:INFO:xgboost==1.4.2
- 2022-02-08 17:16:46,218:INFO:mlflow==1.22.0
- 2022-02-08 17:16:46,219:INFO:Checking Exceptions
- 2022-02-08 17:16:46,219:INFO:Declaring global variables
- 2022-02-08 17:16:46,220:INFO:USI: e30c
- 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'}
- 2022-02-08 17:16:46,220:INFO:Preparing display monitor
- 2022-02-08 17:16:46,220:INFO:Preparing display monitor
- 2022-02-08 17:16:46,229:INFO:Importing libraries
- 2022-02-08 17:16:46,229:INFO:Copying data for preprocessing
- 2022-02-08 17:16:46,235:INFO:Declaring preprocessing parameters
- 2022-02-08 17:16:46,239:INFO:Creating preprocessing pipeline
- 2022-02-08 17:16:46,284:INFO:Preprocessing pipeline created successfully
- 2022-02-08 17:16:46,284:ERROR:(Process Exit): setup has been interupted with user command 'quit'. setup must rerun.
- 2022-02-08 17:16:46,284:INFO:Creating global containers
- 2022-02-08 17:16:46,285:INFO:Internal pipeline: Pipeline(memory=None, steps=[('empty_step', 'passthrough')], verbose=False)
- 2022-02-08 17:16:48,310:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 17:16:48,358:WARNING:Couldn't import catboost.CatBoostClassifier
- 2022-02-08 17:16:48,359:INFO:Creating grid variables
- 2022-02-08 17:16:48,367:INFO:create_model_container: 0
- 2022-02-08 17:16:48,367:INFO:master_model_container: 0
- 2022-02-08 17:16:48,367:INFO:display_container: 1
- 2022-02-08 17:16:48,370:INFO:Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- target='label')),
- ('P_transform', 'passthrough'), ('binn', 'passthrough'),
- ('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
- ('dummy', Dummify(target='label')),
- ('fix_perfect', Remove_100(target='label')),
- ('clean_names', Clean_Colum_Names()),
- ('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
- ('dfs', 'passthrough'), ('pca', 'passthrough')],
- verbose=False)
- 2022-02-08 17:16:48,370:INFO:setup() succesfully completed......................................
- 2022-02-08 17:16:53,614:INFO:Initializing load_model()
- 2022-02-08 17:16:53,615:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 17:16:53,889:INFO:Initializing predict_model()
- 2022-02-08 17:16:53,889:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 17:16:53,889:INFO:Checking exceptions
- 2022-02-08 17:16:53,890:INFO:Preloading libraries
- 2022-02-08 17:16:53,890:INFO:Preparing display monitor
- 2022-02-08 17:18:25,948:INFO:Initializing load_model()
- 2022-02-08 17:18:25,949:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 17:18:26,098:INFO:Initializing predict_model()
- 2022-02-08 17:18:26,098:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 17:18:26,098:INFO:Checking exceptions
- 2022-02-08 17:18:26,098:INFO:Preloading libraries
- 2022-02-08 17:18:26,098:INFO:Preparing display monitor
- 2022-02-08 17:18:39,712:INFO:Initializing load_model()
- 2022-02-08 17:18:39,713:INFO:load_model(model_name=tuned_xgboost_0207, platform=None, authentication=None, verbose=True)
- 2022-02-08 17:18:39,845:INFO:Initializing predict_model()
- 2022-02-08 17:18:39,845:INFO:predict_model(estimator=Pipeline(memory=None,
- steps=[('dtypes',
- DataTypes_Auto_infer(categorical_features=[],
- display_types=True, features_todrop=[],
- id_columns=[],
- ml_usecase='classification',
- numerical_features=[], target='label',
- time_features=[])),
- ('imputer',
- Simple_Imputer(categorical_strategy='not_available',
- fill_value_categorical=None,
- fill_value_numerical=None,
- numeric_strate...
- learning_rate=0.05, max_delta_step=0,
- max_depth=128, max_leaves=1024,
- min_child_weight=1, missing=nan,
- monotone_constraints='()', n_estimators=100,
- n_jobs=-1, num_parallel_tree=1,
- objective='binary:logistic', random_state=8985,
- reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
- subsample=1, tree_method='gpu_hist',
- use_label_encoder=True, validate_parameters=1,
- verbosity=0)]],
- verbose=False), probability_threshold=None, encoded_labels=False, drift_report=False, raw_score=False, round=4, verbose=True, ml_usecase=MLUsecase.CLASSIFICATION, display=None)
- 2022-02-08 17:18:39,846:INFO:Checking exceptions
- 2022-02-08 17:18:39,846:INFO:Preloading libraries
- 2022-02-08 17:18:39,846:INFO:Preparing display monitor
|