151 KiB
151 KiB
| 1 | iteration | model | params | avg_val_accuracy | test_accuracy | avg_val_f1_macro | test_f1_macro | avg_val_f2_macro | test_f2_macro | avg_val_recall_macro | test_recall_macro | avg_val_precision_macro | test_precision_macro | avg_val_f1_class0 | test_f1_class0 | avg_val_f1_class1 | test_f1_class1 | avg_val_f2_class0 | test_f2_class0 | avg_val_f2_class1 | test_f2_class1 | avg_val_recall_class0 | test_recall_class0 | avg_val_recall_class1 | test_recall_class1 | avg_val_precision_class0 | test_precision_class0 | avg_val_precision_class1 | test_precision_class1 | avg_val_TP | test_TP | avg_val_TN | test_TN | avg_val_FP | test_FP | avg_val_FN | test_FN |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 0 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9836959985918459 | 0.9818884818884819 | 0.8503833428328909 | 0.8311370850445974 | 0.8421460012891915 | 0.8208106409719313 | 0.8373086437903854 | 0.8143042243859682 | 0.8670305978904527 | 0.8500362385081488 | 0.9916120128599493 | 0.9906874542220362 | 0.7091546728058324 | 0.6715867158671587 | 0.9922722721012012 | 0.9916212819438626 | 0.692019730477182 | 0.65 | 0.9927140593007311 | 0.9922448124083001 | 0.6819032282800398 | 0.6363636363636364 | 0.9905180222167175 | 0.9891349770162975 | 0.7435431735641876 | 0.7109375 | 110.2 | 91 | 5368.2 | 4734 | 39.4 | 37 | 51.4 | 52 |
| 3 | 1 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9777704934310316 | 0.9861619861619861 | 0.833228302428493 | 0.8499051328858289 | 0.8671302415669343 | 0.8082749335304329 | 0.8942706966433456 | 0.7859796878870449 | 0.7898273786889105 | 0.9543529137800547 | 0.9884877444816569 | 0.9929137140475198 | 0.6779688603753289 | 0.7068965517241379 | 0.9851352071475208 | 0.9962775523861307 | 0.7491252759863476 | 0.6202723146747352 | 0.982912990556839 | 0.9985328023475163 | 0.805628402729852 | 0.5734265734265734 | 0.9941271433996267 | 0.9873575129533678 | 0.5855276139781941 | 0.9213483146067416 | 130.2 | 82 | 5315.2 | 4764 | 92.4 | 7 | 31.4 | 61 |
| 4 | 2 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9835164073498687 | 0.9818884818884819 | 0.8490581437874211 | 0.8311370850445974 | 0.8415838131705449 | 0.8208106409719313 | 0.8372085097859262 | 0.8143042243859682 | 0.8642175021285254 | 0.8500362385081488 | 0.9915190916955767 | 0.9906874542220362 | 0.7065971958792655 | 0.6715867158671587 | 0.9921242029264252 | 0.9916212819438626 | 0.6910434234146647 | 0.65 | 0.9925291275390329 | 0.9922448124083001 | 0.6818878920328195 | 0.6363636363636364 | 0.9905166269662289 | 0.9891349770162975 | 0.7379183772908221 | 0.7109375 | 110.2 | 91 | 5367.2 | 4734 | 40.4 | 37 | 51.4 | 52 |
| 5 | 3 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9792428656582848 | 0.9855514855514855 | 0.8426154736989677 | 0.8439396413099634 | 0.8748879195200697 | 0.8038417154985349 | 0.9004295319179321 | 0.7822735847259008 | 0.800633879546418 | 0.9435737976782753 | 0.989254353849541 | 0.9926003126628452 | 0.6959765935483945 | 0.6952789699570815 | 0.986153005125123 | 0.9959009536556801 | 0.7636228339150163 | 0.6117824773413897 | 0.9840965456240705 | 0.9981136030182352 | 0.8167625182117936 | 0.5664335664335665 | 0.9944681924419113 | 0.9871475953565506 | 0.6067995666509246 | 0.9 | 132.0 | 81 | 5321.6 | 4762 | 86.0 | 9 | 29.6 | 62 |
| 6 | 4 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9830854631611965 | 0.9806674806674807 | 0.8444466123357083 | 0.8247747610795253 | 0.8359448119437027 | 0.8201022404248155 | 0.8309910233274715 | 0.8170671290562299 | 0.8617840830986598 | 0.8328983330460691 | 0.9912983540257126 | 0.9900513142737459 | 0.6975948706457037 | 0.6594982078853047 | 0.9919913642963373 | 0.9904869667253373 | 0.6798982595910681 | 0.6497175141242938 | 0.9924551698816895 | 0.9907776147558164 | 0.6695268767732535 | 0.6433566433566433 | 0.9901505152964749 | 0.9893260778568439 | 0.7334176509008448 | 0.6764705882352942 | 108.2 | 92 | 5366.8 | 4727 | 40.8 | 44 | 53.4 | 51 |
| 7 | 5 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9766213003311162 | 0.9861619861619861 | 0.8282667296709023 | 0.8499051328858289 | 0.8655558235615745 | 0.8082749335304329 | 0.8960856336387624 | 0.7859796878870449 | 0.7818694784280174 | 0.9543529137800547 | 0.9878828804471741 | 0.9929137140475198 | 0.6686505788946306 | 0.7068965517241379 | 0.9840922083904875 | 0.9962775523861307 | 0.7470194387326615 | 0.6202723146747352 | 0.9815815885719037 | 0.9985328023475163 | 0.8105896787056208 | 0.5734265734265734 | 0.9942675424302492 | 0.9873575129533678 | 0.5694714144257854 | 0.9213483146067416 | 131.0 | 82 | 5308.0 | 4764 | 99.6 | 7 | 30.6 | 61 |
| 8 | 6 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9834445876168182 | 0.9814814814814815 | 0.8480565198950298 | 0.8273424127984086 | 0.8399982205343853 | 0.817134478424801 | 0.8353828069223974 | 0.8107029210571445 | 0.8648736951754852 | 0.8460255171333055 | 0.991482470473956 | 0.9904781835303965 | 0.7046305693161037 | 0.6642066420664207 | 0.9921315087105121 | 0.9914118139924591 | 0.6878649323582586 | 0.6428571428571429 | 0.9925660892684587 | 0.9920352127436596 | 0.6781995245763361 | 0.6293706293706294 | 0.9904082761921845 | 0.988926034266611 | 0.739339114158786 | 0.703125 | 109.6 | 90 | 5367.4 | 4733 | 40.2 | 38 | 52.0 | 53 |
| 9 | 7 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9772677101665316 | 0.9861619861619861 | 0.8335820375575876 | 0.8511569731081927 | 0.8723791821004074 | 0.8110472197412031 | 0.9042296019514786 | 0.789371391551228 | 0.7855109502194862 | 0.9498237611445158 | 0.9882165504467866 | 0.9929122368146759 | 0.6789475246683887 | 0.7094017094017094 | 0.9843362470693189 | 0.9961517547161919 | 0.760422117131496 | 0.6259426847662142 | 0.981766465616016 | 0.9983232026828757 | 0.8266927382869411 | 0.5804195804195804 | 0.9947529994233643 | 0.9875596102011196 | 0.5762689010156086 | 0.9120879120879121 | 133.6 | 83 | 5309.0 | 4763 | 98.6 | 8 | 28.0 | 60 |
| 10 | 8 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.985096544638456 | 0.9835164835164835 | 0.8585729444489173 | 0.8429347386448162 | 0.8434482396648738 | 0.8278311019035429 | 0.8344179216671094 | 0.8185343267087136 | 0.889046398570961 | 0.8717278113796217 | 0.9923402668444922 | 0.9915298546481229 | 0.7248056220533428 | 0.6943396226415094 | 0.993561646415106 | 0.9928379963142905 | 0.6933348329146416 | 0.6628242074927954 | 0.9943783630796371 | 0.9937120100607839 | 0.6744574802545816 | 0.6433566433566433 | 0.9903144308489432 | 0.9893572621035058 | 0.7877783662929788 | 0.7540983606557377 | 109.0 | 92 | 5377.2 | 4741 | 30.4 | 30 | 52.6 | 51 |
| 11 | 9 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9844141443416088 | 0.9861619861619861 | 0.860822728291027 | 0.8486315083758391 | 0.8591203649369745 | 0.8054854277835695 | 0.8580872070377591 | 0.7825879842228616 | 0.8640595706246244 | 0.959095032968289 | 0.9919755925243938 | 0.9929151906647218 | 0.7296698640576607 | 0.7043478260869566 | 0.992107799790999 | 0.9964033290117519 | 0.7261329300829503 | 0.6145675265553869 | 0.9921961915465707 | 0.9987424020121568 | 0.7239782225289472 | 0.5664335664335665 | 0.991756262138165 | 0.9871555831779574 | 0.7363628791110837 | 0.9310344827586207 | 117.0 | 81 | 5365.4 | 4765 | 42.2 | 6 | 44.6 | 62 |
| 12 | 10 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9849887795771217 | 0.9839234839234839 | 0.8592497644352056 | 0.8479285580818141 | 0.8454188939444627 | 0.8341042628974531 | 0.8373755895748365 | 0.8255273337017206 | 0.8879885654105774 | 0.8739174355175432 | 0.9922816875173123 | 0.9917372659763624 | 0.726217841353099 | 0.704119850187266 | 0.9933605268760685 | 0.992921169473067 | 0.697477261012857 | 0.6752873563218391 | 0.994082518770868 | 0.9937120100607839 | 0.6806686603788052 | 0.6573426573426573 | 0.9904946323445923 | 0.9897703549060543 | 0.7854824984765625 | 0.7580645161290323 | 110.0 | 94 | 5375.6 | 4741 | 32.0 | 30 | 51.6 | 49 |
| 13 | 11 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9848451272158361 | 0.9857549857549858 | 0.8633896572691946 | 0.844179493916305 | 0.8595086205883866 | 0.8015872466872441 | 0.8571115490746607 | 0.7789866808940379 | 0.870647713252939 | 0.953244322524878 | 0.9921996367898099 | 0.9927068139195666 | 0.734579677748579 | 0.6956521739130435 | 0.9925079856313637 | 0.9961942202333653 | 0.7265092555454098 | 0.6069802731411229 | 0.9927140114228432 | 0.9985328023475163 | 0.7215090867264781 | 0.5594405594405595 | 0.991687560074482 | 0.9869484151646986 | 0.7496078664313959 | 0.9195402298850575 | 116.6 | 80 | 5368.2 | 4764 | 39.4 | 7 | 45.0 | 63 |
| 14 | 12 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9845578482836348 | 0.9829059829059829 | 0.8563663299732726 | 0.8388902766502218 | 0.8454671199718229 | 0.8261528709939931 | 0.8389500335245936 | 0.8182199272117527 | 0.8780677288206494 | 0.8626752975569012 | 0.9920587232276177 | 0.9912133891213389 | 0.7206739367189277 | 0.6865671641791045 | 0.9929390378954386 | 0.9923344363925773 | 0.697995202048207 | 0.6599713055954088 | 0.993527702966678 | 0.9930832110668623 | 0.684372364082509 | 0.6433566433566433 | 0.99059865579935 | 0.9893505951138024 | 0.765536801841949 | 0.736 | 110.6 | 92 | 5372.6 | 4738 | 35.0 | 33 | 51.0 | 51 |
| 15 | 13 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9835881690545862 | 0.9861619861619861 | 0.8604440218282645 | 0.8499051328858289 | 0.8690024937032241 | 0.8082749335304329 | 0.8750690128468441 | 0.7859796878870449 | 0.8474268563811116 | 0.9543529137800547 | 0.9915373100710676 | 0.9929137140475198 | 0.7293507335854615 | 0.7068965517241379 | 0.9907781531251416 | 0.9962775523861307 | 0.7472268342813067 | 0.6202723146747352 | 0.9902729846692268 | 0.9985328023475163 | 0.7598650410244614 | 0.5734265734265734 | 0.9928063346703722 | 0.9873575129533678 | 0.7020473780918509 | 0.9213483146067416 | 122.8 | 82 | 5355.0 | 4764 | 52.6 | 7 | 38.8 | 61 |
| 16 | 14 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9843782892796202 | 0.9831094831094831 | 0.8548343786951275 | 0.842521101783164 | 0.8444363446947081 | 0.8318391286133222 | 0.8382511272128722 | 0.8251081343724396 | 0.875660568579242 | 0.8620684026326786 | 0.9919660968482618 | 0.9913152662969551 | 0.7177026605419935 | 0.6937269372693727 | 0.9928132306858364 | 0.9922496857980729 | 0.6960594587035798 | 0.6714285714285714 | 0.99337979449169 | 0.9928736114022217 | 0.6831224599340542 | 0.6573426573426573 | 0.9905614094093099 | 0.9897618052653573 | 0.7607597277491742 | 0.734375 | 110.4 | 94 | 5371.8 | 4737 | 35.8 | 34 | 51.2 | 49 |
| 17 | 15 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9834445231408931 | 0.9857549857549858 | 0.8585152131064107 | 0.844179493916305 | 0.8660243812195902 | 0.8015872466872441 | 0.871386989342932 | 0.7789866808940379 | 0.8472268537593868 | 0.953244322524878 | 0.9914645120649892 | 0.9927068139195666 | 0.7255659141478319 | 0.6956521739130435 | 0.990793456215173 | 0.9961942202333653 | 0.7412553062240076 | 0.6069802731411229 | 0.9903470175632508 | 0.9985328023475163 | 0.7524269611226132 | 0.5594405594405595 | 0.9925866849189425 | 0.9869484151646986 | 0.7018670225998311 | 0.9195402298850575 | 121.6 | 80 | 5355.4 | 4764 | 52.2 | 7 | 40.0 | 63 |
| 18 | 16 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9852042839094203 | 0.9829059829059829 | 0.8591013566121541 | 0.8377128766278801 | 0.843357341174432 | 0.8235684959885494 | 0.8338746022135336 | 0.8148282235475697 | 0.8903497870028734 | 0.8644918571915838 | 0.9923966195989122 | 0.9912152269399708 | 0.7258060936253962 | 0.6842105263157895 | 0.9936730069527971 | 0.9924607329842932 | 0.6930416753960669 | 0.6546762589928058 | 0.99452629207372 | 0.9932928107315029 | 0.6732229123533471 | 0.6363636363636364 | 0.990278694812452 | 0.9891463160091839 | 0.7904208791932946 | 0.7398373983739838 | 108.8 | 91 | 5378.0 | 4739 | 29.6 | 32 | 52.8 | 52 |
| 19 | 17 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9854556110657452 | 0.9861619861619861 | 0.8742479754482927 | 0.8486315083758391 | 0.8795206560822282 | 0.8054854277835695 | 0.8832314698688688 | 0.7825879842228616 | 0.8661556775500792 | 0.959095032968289 | 0.9925042501994371 | 0.9929151906647218 | 0.7559917006971485 | 0.7043478260869566 | 0.9920528534779128 | 0.9964033290117519 | 0.7669884586865434 | 0.6145675265553869 | 0.9917524114040205 | 0.9987424020121568 | 0.7747105283337167 | 0.5664335664335665 | 0.9932585419218753 | 0.9871555831779574 | 0.7390528131782832 | 0.9310344827586207 | 125.2 | 81 | 5363.0 | 4765 | 44.6 | 6 | 36.4 | 62 |
| 20 | 18 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.985527450141573 | 0.9829059829059829 | 0.8612353081714964 | 0.8411930908822298 | 0.8438576249283887 | 0.8312762678885206 | 0.8334345750613062 | 0.8250033345401193 | 0.8960232034579164 | 0.859220918082185 | 0.9925641484406432 | 0.9912097111762244 | 0.7299064679023494 | 0.6911764705882353 | 0.9939617348758512 | 0.9920817797142737 | 0.693753514980926 | 0.6704707560627675 | 0.99489614191772 | 0.9926640117375812 | 0.6719730082048921 | 0.6573426573426573 | 0.9902455045426208 | 0.9897596656217346 | 0.8018009023732121 | 0.7286821705426356 | 108.6 | 94 | 5380.0 | 4736 | 27.6 | 35 | 53.0 | 49 |
| 21 | 19 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9857069898028101 | 0.9867724867724867 | 0.875516842420696 | 0.857127840635882 | 0.8794196618303813 | 0.8154847231608375 | 0.8821479755792095 | 0.7930774947123721 | 0.8694794389240332 | 0.9605514096185739 | 0.9926355370392489 | 0.993225638353309 | 0.7583981478021433 | 0.721030042918455 | 0.9923051686408139 | 0.9965283587083821 | 0.7665341550199488 | 0.6344410876132931 | 0.9920852311216122 | 0.9987424020121568 | 0.772210720036807 | 0.5874125874125874 | 0.9931873864715641 | 0.9877694859038143 | 0.7457714913765023 | 0.9333333333333333 | 124.8 | 84 | 5364.8 | 4765 | 42.8 | 6 | 36.8 | 59 |
| 22 | 20 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9848451465586135 | 0.9831094831094831 | 0.8578980478544278 | 0.8413834487516582 | 0.8449995607616705 | 0.8292825585548906 | 0.8372862614717818 | 0.8217164307082563 | 0.8837164915524758 | 0.8638262322472849 | 0.9922082995744397 | 0.9913170833769223 | 0.7235877961344157 | 0.6914498141263941 | 0.9932427909686832 | 0.9923760053619303 | 0.696756330554658 | 0.666189111747851 | 0.993934535059199 | 0.9930832110668623 | 0.6806379878843647 | 0.6503496503496503 | 0.9904924365174654 | 0.9895572263993316 | 0.7769405465874861 | 0.7380952380952381 | 110.0 | 93 | 5374.8 | 4738 | 32.8 | 33 | 51.6 | 50 |
| 23 | 21 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9845219029553508 | 0.986975986975987 | 0.8698030164940406 | 0.8610706662331604 | 0.8811907091671406 | 0.8215303999383525 | 0.8893450351340496 | 0.7999657018730588 | 0.8527575233127962 | 0.9564539548079303 | 0.9920159371267733 | 0.9933277731442869 | 0.7475900958613078 | 0.7288135593220338 | 0.9910359053245955 | 0.9964442585233215 | 0.7713455130096858 | 0.6466165413533834 | 0.9903839587735819 | 0.9985328023475163 | 0.7883061114945173 | 0.6013986013986014 | 0.9936549838375447 | 0.9881767268201618 | 0.7118600627880478 | 0.9247311827956989 | 127.4 | 86 | 5355.6 | 4764 | 52.0 | 7 | 34.2 | 57 |
| 24 | 22 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9848810338585648 | 0.9839234839234839 | 0.8572385245926517 | 0.8490276198961566 | 0.8429098030071417 | 0.8366553327392703 | 0.8343031271803456 | 0.8289190373659039 | 0.885742499312083 | 0.8719715956558062 | 0.9922284455454948 | 0.9917355371900827 | 0.7222486036398086 | 0.7063197026022305 | 0.9933839125983333 | 0.9927949061662198 | 0.69243569341595 | 0.6805157593123209 | 0.9941564422297198 | 0.9935024103961434 | 0.6744498121309714 | 0.6643356643356644 | 0.9903114927254559 | 0.9899749373433584 | 0.7811735058987099 | 0.753968253968254 | 109.0 | 95 | 5376.0 | 4740 | 31.6 | 31 | 52.6 | 48 |
| 25 | 23 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9857788159834528 | 0.9867724867724867 | 0.8784839889543908 | 0.8583142406586364 | 0.8862776919629682 | 0.818231408861414 | 0.8918001496056867 | 0.7964691983765553 | 0.8666283579401423 | 0.9559424197067787 | 0.9926680110948627 | 0.9932242259981237 | 0.7642999668139189 | 0.723404255319149 | 0.9920072029043858 | 0.9964025767589726 | 0.7805481810215507 | 0.6400602409638554 | 0.9915674796423222 | 0.9985328023475163 | 0.7920328195690514 | 0.5944055944055944 | 0.9937726356177532 | 0.9879717959352966 | 0.7394840802625315 | 0.9239130434782609 | 128.0 | 85 | 5362.0 | 4764 | 45.6 | 7 | 33.6 | 58 |
| 26 | 24 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9862816185907304 | 0.9843304843304843 | 0.8672185689164964 | 0.8461719843544885 | 0.8480914656258485 | 0.8248690951845485 | 0.8368322095688734 | 0.8121701187096282 | 0.9070127106465492 | 0.8892160087719299 | 0.9929532733995377 | 0.9919548636506113 | 0.7414838644334552 | 0.7003891050583657 | 0.9944720032893819 | 0.9937615139842573 | 0.701710927962315 | 0.6559766763848397 | 0.9954878989322411 | 0.9949696080486271 | 0.6781765202055057 | 0.6293706293706294 | 0.9904355947940818 | 0.9889583333333334 | 0.8235898264990166 | 0.7894736842105263 | 109.6 | 90 | 5383.2 | 4747 | 24.4 | 24 | 52.0 | 53 |
| 27 | 25 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.987287146434175 | 0.9865689865689866 | 0.8793207329883772 | 0.8543196878009516 | 0.8640834480409524 | 0.8121616449258658 | 0.8547686025189922 | 0.7895809912158687 | 0.9088091992486815 | 0.9600745182511498 | 0.9934665390741285 | 0.9931221342225928 | 0.7651749269026261 | 0.7155172413793104 | 0.9946559996735264 | 0.9964866786565728 | 0.7335108964083782 | 0.6278366111951589 | 0.9954508619661343 | 0.9987424020121568 | 0.7140863430718503 | 0.5804195804195804 | 0.9914916199405575 | 0.9875647668393782 | 0.8261267785568057 | 0.9325842696629213 | 115.4 | 83 | 5383.0 | 4765 | 24.6 | 6 | 46.2 | 60 |
| 28 | 26 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9861379726770372 | 0.9845339845339846 | 0.8651922681807562 | 0.8498745819397994 | 0.8446678192218264 | 0.8306556171204234 | 0.8325513658798114 | 0.819058325870315 | 0.907594390231754 | 0.8878465707734 | 0.9928805856772964 | 0.992056856187291 | 0.7375039506842161 | 0.7076923076923077 | 0.9945094105669959 | 0.9936769817009338 | 0.6948262278766573 | 0.6676342525399129 | 0.9955988593571996 | 0.9947600083839866 | 0.669503872402423 | 0.6433566433566433 | 0.9901800408376109 | 0.9893683552220137 | 0.8250087396258972 | 0.7863247863247863 | 108.2 | 92 | 5383.8 | 4746 | 23.8 | 25 | 53.4 | 51 |
| 29 | 27 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9871434682825193 | 0.9853479853479854 | 0.8772254950574203 | 0.8369587456890434 | 0.8601915470973859 | 0.79201146554352 | 0.8498851456211648 | 0.7686019702368476 | 0.9108052533200063 | 0.9570245378117729 | 0.9933937755480089 | 0.992501562174547 | 0.7610572145668317 | 0.6814159292035398 | 0.9947154089698568 | 0.9962366715450554 | 0.7256676852249151 | 0.5877862595419847 | 0.9955988319984066 | 0.9987424020121568 | 0.704171459243923 | 0.5384615384615384 | 0.9912003368948475 | 0.9863382322500518 | 0.8304101697451646 | 0.927710843373494 | 113.8 | 77 | 5383.8 | 4765 | 23.8 | 6 | 47.8 | 66 |
| 30 | 28 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9856352216504998 | 0.9839234839234839 | 0.8621834548618892 | 0.8468128932461787 | 0.8445478827269894 | 0.8315381150352711 | 0.834096523063451 | 0.8221356300375373 | 0.8982795995583649 | 0.8759305126029722 | 0.9926194370380234 | 0.9917389940395274 | 0.7317474726857547 | 0.7018867924528301 | 0.9940280522006834 | 0.9930474116267382 | 0.6950677132532957 | 0.670028818443804 | 0.9949701337735546 | 0.9939216097254244 | 0.6732229123533471 | 0.6503496503496503 | 0.9902836860643168 | 0.9895659432387313 | 0.806275513052413 | 0.7622950819672131 | 108.8 | 93 | 5380.4 | 4742 | 27.2 | 29 | 52.8 | 50 |
| 31 | 29 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9869639157260973 | 0.9863654863654864 | 0.879550626347441 | 0.8514876808093439 | 0.870045213129119 | 0.8088285616516482 | 0.8642020071527432 | 0.7860844877193651 | 0.897702092283037 | 0.959589157216592 | 0.9932950376100683 | 0.9930186516619777 | 0.7658062150848136 | 0.70995670995671 | 0.9940330947590708 | 0.9964450020911753 | 0.7460573314991672 | 0.6212121212121212 | 0.994526244195832 | 0.9987424020121568 | 0.7338777701096542 | 0.5734265734265734 | 0.9920693690150953 | 0.9873601326150021 | 0.8033348155509786 | 0.9318181818181818 | 118.6 | 82 | 5378.0 | 4765 | 29.6 | 6 | 43.0 | 61 |
| 32 | 30 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9854197237657939 | 0.9829059829059829 | 0.8621105186516613 | 0.8388902766502218 | 0.846693305689033 | 0.8261528709939931 | 0.8375860013996403 | 0.8182199272117527 | 0.8936165471770329 | 0.8626752975569012 | 0.9925054143077741 | 0.9912133891213389 | 0.7317156229955486 | 0.6865671641791045 | 0.993716351450437 | 0.9923344363925773 | 0.6996702599276289 | 0.6599713055954088 | 0.994526346791306 | 0.9930832110668623 | 0.6806456560079748 | 0.6433566433566433 | 0.9904979402930485 | 0.9893505951138024 | 0.7967351540610174 | 0.736 | 110.0 | 92 | 5378.0 | 4738 | 29.6 | 33 | 51.6 | 51 |
| 33 | 31 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.986820269812404 | 0.9865689865689866 | 0.877563416771528 | 0.8530835228353733 | 0.8666347927365601 | 0.8093836088798947 | 0.8599211737232284 | 0.7861892875516854 | 0.8984707203871171 | 0.9649457434116999 | 0.993222240007103 | 0.9931235674098771 | 0.761904593535953 | 0.7130434782608696 | 0.994070459172379 | 0.9966124377901384 | 0.7391991263007414 | 0.622154779969651 | 0.9946372251398856 | 0.9989520016767973 | 0.7252051223065716 | 0.5734265734265734 | 0.9918136647874025 | 0.9873627511912161 | 0.8051277759868316 | 0.9425287356321839 | 117.2 | 82 | 5378.6 | 4766 | 29.0 | 5 | 44.4 | 61 |
| 34 | 32 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9860302269584803 | 0.9847374847374848 | 0.8651027328460819 | 0.8512934504156158 | 0.8461482899592221 | 0.8312246938922571 | 0.8348833820094514 | 0.8191631257026353 | 0.9038301388756894 | 0.8912370096735709 | 0.9928238353193806 | 0.9921621904065211 | 0.7373816303727831 | 0.7104247104247104 | 0.9943316327358351 | 0.9938447366217235 | 0.6979649471826092 | 0.6686046511627907 | 0.9953399562587617 | 0.9949696080486271 | 0.6744268077601411 | 0.6433566433566433 | 0.9903232558576776 | 0.9893705710712797 | 0.8173370218937013 | 0.7931034482758621 | 109.0 | 92 | 5382.4 | 4747 | 25.2 | 24 | 52.6 | 51 |
| 35 | 33 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9870357419067401 | 0.9863654863654864 | 0.8786661233843809 | 0.8539546788327481 | 0.8667789278141586 | 0.8143617723634435 | 0.8594179708761187 | 0.7928678950477315 | 0.9011809877992263 | 0.9504039456837321 | 0.9933345981413282 | 0.9930157406442197 | 0.7639976486274334 | 0.7148936170212766 | 0.9942707099948773 | 0.9961934242449594 | 0.7392871456334397 | 0.6325301204819277 | 0.9948960598413411 | 0.9983232026828757 | 0.7239398819108964 | 0.5874125874125874 | 0.9917794881967399 | 0.9877644131065948 | 0.8105824874017126 | 0.9130434782608695 | 117.0 | 84 | 5380.0 | 4763 | 27.6 | 8 | 44.6 | 59 |
| 36 | 34 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9865330166705728 | 0.9853479853479854 | 0.8704343336721141 | 0.8567033607931763 | 0.852055150641523 | 0.8355388633123595 | 0.8411646823093639 | 0.8228692288637793 | 0.9081963631229814 | 0.8991384074580755 | 0.993081291115929 | 0.9924764890282132 | 0.7477873762282993 | 0.7209302325581395 | 0.9945233940238916 | 0.9942218314282125 | 0.7095869072591549 | 0.6768558951965066 | 0.9954878647337498 | 0.9953888073779082 | 0.6868414998849781 | 0.6503496503496503 | 0.9906899772878018 | 0.989581162742238 | 0.825702748958161 | 0.808695652173913 | 111.0 | 93 | 5383.2 | 4749 | 24.4 | 22 | 50.6 | 50 |
| 37 | 35 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9874307923478683 | 0.9865689865689866 | 0.8833724692667442 | 0.8530835228353733 | 0.8728278631569448 | 0.8093836088798947 | 0.8662311089632866 | 0.7861892875516854 | 0.9029529252661203 | 0.9649457434116999 | 0.9935361451475371 | 0.9931235674098771 | 0.7732087933859508 | 0.7130434782608696 | 0.9943515316814654 | 0.9966124377901384 | 0.751304194632424 | 0.622154779969651 | 0.9948960803604358 | 0.9989520016767973 | 0.7375661375661376 | 0.5734265734265734 | 0.9921809828073729 | 0.9873627511912161 | 0.8137248677248676 | 0.9425287356321839 | 119.2 | 82 | 5380.0 | 4766 | 27.6 | 5 | 42.4 | 61 |
| 38 | 36 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9857429609214643 | 0.9839234839234839 | 0.8650141053127711 | 0.8479285580818141 | 0.8498542333542429 | 0.8341042628974531 | 0.8407578673160888 | 0.8255273337017206 | 0.8953063331916912 | 0.8739174355175432 | 0.992672097027782 | 0.9917372659763624 | 0.7373561135977603 | 0.704119850187266 | 0.993871994366882 | 0.992921169473067 | 0.705836472341604 | 0.6752873563218391 | 0.9946742347471993 | 0.9937120100607839 | 0.6868414998849781 | 0.6573426573426573 | 0.990681450194724 | 0.9897703549060543 | 0.7999312161886583 | 0.7580645161290323 | 111.0 | 94 | 5378.8 | 4741 | 28.8 | 30 | 50.6 | 49 |
| 39 | 37 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9872153009107547 | 0.9877899877899878 | 0.8840021491512114 | 0.8708213212292216 | 0.8785517766085202 | 0.8319516140352616 | 0.8751326963288768 | 0.8105600121948896 | 0.8940398080556416 | 0.9628182304693047 | 0.9934209104863886 | 0.9937434827945777 | 0.7745833878160344 | 0.7478991596638656 | 0.9938397106639043 | 0.996736811278919 | 0.7632638425531365 | 0.6671664167916042 | 0.9941193915842164 | 0.9987424020121568 | 0.7561460010735374 | 0.6223776223776224 | 0.9927248278719031 | 0.9887943556754514 | 0.7953547882393799 | 0.9368421052631579 | 122.2 | 89 | 5375.8 | 4765 | 31.8 | 6 | 39.4 | 54 |
| 40 | 38 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9855633761270793 | 0.9831094831094831 | 0.8624888276327795 | 0.8413834487516582 | 0.846188359313875 | 0.8292825585548906 | 0.8364585393424646 | 0.8217164307082563 | 0.8953115577195039 | 0.8638262322472849 | 0.9925810317523748 | 0.9913170833769223 | 0.7323966235131841 | 0.6914498141263941 | 0.9938797735534243 | 0.9923760053619303 | 0.6984969450743261 | 0.666189111747851 | 0.9947482266030339 | 0.9930832110668623 | 0.6781688520818955 | 0.6503496503496503 | 0.9904269019149098 | 0.9895572263993316 | 0.8001962135240982 | 0.7380952380952381 | 109.6 | 93 | 5379.2 | 4738 | 28.4 | 33 | 52.0 | 50 |
| 41 | 39 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.986856176455133 | 0.986975986975987 | 0.8806864843228681 | 0.8610706662331604 | 0.8745665899447239 | 0.8215303999383525 | 0.8707409161538002 | 0.7999657018730588 | 0.8920152122815285 | 0.9564539548079303 | 0.9932361759186245 | 0.9933277731442869 | 0.7681367927271119 | 0.7288135593220338 | 0.9936992162752227 | 0.9964442585233215 | 0.755433963614225 | 0.6466165413533834 | 0.9940084790371456 | 0.9985328023475163 | 0.7474733532704546 | 0.6013986013986014 | 0.9924667122644513 | 0.9881767268201618 | 0.7915637122986056 | 0.9247311827956989 | 120.8 | 86 | 5375.2 | 4764 | 32.4 | 7 | 40.8 | 57 |
| 42 | 40 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9864611904899301 | 0.9839234839234839 | 0.8661749313206123 | 0.8456802466215746 | 0.8423831655399336 | 0.8289567585128061 | 0.8285185886091406 | 0.8187439263733541 | 0.9165958997953855 | 0.8780141843971632 | 0.9930497307842637 | 0.9917407213800313 | 0.7393001318569612 | 0.6996197718631179 | 0.9949315438410389 | 0.9931736326325488 | 0.6898347872388285 | 0.6647398843930635 | 0.9961906163717206 | 0.9941312093900649 | 0.6608465608465609 | 0.6433566433566433 | 0.9899313600303314 | 0.9893617021276596 | 0.8432604395604395 | 0.7666666666666667 | 106.8 | 92 | 5387.0 | 4743 | 20.6 | 28 | 54.8 | 51 |
| 43 | 41 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9878976560744542 | 0.9857549857549858 | 0.8831295105137231 | 0.844179493916305 | 0.8637043515732932 | 0.8015872466872441 | 0.8520621969448859 | 0.7789866808940379 | 0.9221681057118445 | 0.953244322524878 | 0.9937832463875461 | 0.9927068139195666 | 0.7724757746399004 | 0.6956521739130435 | 0.9952703152767622 | 0.9961942202333653 | 0.7321383878698244 | 0.6069802731411229 | 0.9962645671893655 | 0.9985328023475163 | 0.7078598267004065 | 0.5594405594405595 | 0.9913162166003714 | 0.9869484151646986 | 0.8530199948233175 | 0.9195402298850575 | 114.4 | 80 | 5387.4 | 4764 | 20.2 | 7 | 47.2 | 63 |
| 44 | 42 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9862456926052239 | 0.9849409849409849 | 0.8669992450376824 | 0.8538252508361204 | 0.8476890859443065 | 0.834388749878525 | 0.836226417544124 | 0.8226596291991387 | 0.9064155407810034 | 0.8922243068584532 | 0.9929348018352687 | 0.9922658862876255 | 0.7410636882400962 | 0.7153846153846154 | 0.9944647211564472 | 0.9938863531677903 | 0.7009134507321659 | 0.6748911465892597 | 0.9954878784131462 | 0.9949696080486271 | 0.6769649566751015 | 0.6503496503496503 | 0.9903976970023715 | 0.9895768188451115 | 0.8224333845596353 | 0.7948717948717948 | 109.4 | 93 | 5383.2 | 4747 | 24.4 | 24 | 52.2 | 50 |
| 45 | 43 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9869280090833683 | 0.9855514855514855 | 0.8733416353384016 | 0.8399148032946274 | 0.8540518352792473 | 0.7953952629034529 | 0.8425426933169042 | 0.7720984737333512 | 0.9124716978233179 | 0.9575569358178053 | 0.9932857625110962 | 0.9926049369857306 | 0.7533975081657068 | 0.6872246696035242 | 0.9948049328325747 | 0.9962783306849544 | 0.71329873772592 | 0.5945121951219512 | 0.9958207596880222 | 0.9987424020121568 | 0.6892646269457863 | 0.5454545454545454 | 0.990765918059411 | 0.9865424430641822 | 0.8341774775872247 | 0.9285714285714286 | 111.4 | 78 | 5385.0 | 4765 | 22.6 | 6 | 50.2 | 65 |
| 46 | 44 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9862097988576801 | 0.9839234839234839 | 0.8667386962508832 | 0.8433624344377819 | 0.8474929512704872 | 0.8237478893318506 | 0.8361964447535432 | 0.8119605190449877 | 0.9068725501572557 | 0.8824078998433256 | 0.992915992849021 | 0.9917441738948688 | 0.7405613996527456 | 0.694980694980695 | 0.9944348633360782 | 0.9934260112218407 | 0.7005510392048959 | 0.6540697674418605 | 0.9954509372028151 | 0.9945504087193461 | 0.6769419523042711 | 0.6293706293706294 | 0.9903984180691285 | 0.9889537307211338 | 0.8233466822453825 | 0.7758620689655172 | 109.4 | 90 | 5383.0 | 4745 | 24.6 | 26 | 52.2 | 53 |
| 47 | 45 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9875385187236475 | 0.9865689865689866 | 0.8818473760069663 | 0.8543196878009516 | 0.8666113884382227 | 0.8121616449258658 | 0.8573085650407084 | 0.7895809912158687 | 0.911358823985703 | 0.9600745182511498 | 0.9935954869318611 | 0.9931221342225928 | 0.7700992650820717 | 0.7155172413793104 | 0.9947741585846203 | 0.9964866786565728 | 0.738448618291825 | 0.6278366111951589 | 0.9955618429101876 | 0.9987424020121568 | 0.7190552871712291 | 0.5804195804195804 | 0.991638608632873 | 0.9875647668393782 | 0.831079039338533 | 0.9325842696629213 | 116.2 | 83 | 5383.6 | 4765 | 24.0 | 6 | 45.4 | 60 |
| 48 | 46 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'} | 0.9849169533964789 | 0.9829059829059829 | 0.857781434054387 | 0.8365176229040721 | 0.844304223769899 | 0.8209688288843962 | 0.836133326191199 | 0.8114365198833864 | 0.8841541341909854 | 0.8663719301391664 | 0.9922467381814037 | 0.9912170639899623 | 0.7233161299273703 | 0.6818181818181818 | 0.9933470205947339 | 0.992587008418143 | 0.695261426945064 | 0.6493506493506493 | 0.9940824640532819 | 0.9935024103961434 | 0.6781841883291158 | 0.6293706293706294 | 0.9904205833879198 | 0.9889422073857709 | 0.7778876849940513 | 0.743801652892562 | 109.6 | 90 | 5375.6 | 4740 | 32.0 | 31 | 52.0 | 53 |
| 49 | 47 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'} | 0.9873589597196328 | 0.986975986975987 | 0.8811716945986273 | 0.8599124452782989 | 0.8674250110669686 | 0.8187978416363408 | 0.8589932970703573 | 0.7965739982088755 | 0.9076249537472911 | 0.9610201119635082 | 0.9935015709609486 | 0.9933291640608714 | 0.7688418182363058 | 0.7264957264957265 | 0.9945592266059802 | 0.9965700422470406 | 0.7402907955279572 | 0.6410256410256411 | 0.9952659438838323 | 0.9987424020121568 | 0.7227206502568821 | 0.5944055944055944 | 0.9917452330433599 | 0.9879742898610823 | 0.8235046744512223 | 0.9340659340659341 | 116.8 | 85 | 5382.0 | 4765 | 25.6 | 6 | 44.8 | 58 |
| 50 | 48 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.982654512524932 | 0.9794464794464794 | 0.8404271891994972 | 0.8175151805953109 | 0.8329745957227697 | 0.8168681204876317 | 0.8283393664784457 | 0.8164383300623083 | 0.8543775057592086 | 0.8185999905552341 | 0.9910774933869468 | 0.9894163261029026 | 0.6897768850120474 | 0.6456140350877193 | 0.9917259815399992 | 0.9894785378940308 | 0.6742232099055401 | 0.6442577030812325 | 0.9921591409010674 | 0.9895200167679732 | 0.6645195920558239 | 0.6433566433566433 | 0.9900000029126585 | 0.9893126571668064 | 0.7187550086057587 | 0.647887323943662 | 107.4 | 92 | 5365.2 | 4721 | 42.4 | 50 | 54.2 | 51 |
| 51 | 49 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9782014634100736 | 0.9857549857549858 | 0.8359189878862748 | 0.8454905779707063 | 0.8691457018101014 | 0.8043882221350002 | 0.8956940508871784 | 0.7823783845582211 | 0.793225782868173 | 0.9486313093089597 | 0.988712124752085 | 0.9927052938724469 | 0.6831258510204649 | 0.6982758620689655 | 0.9854471586724532 | 0.9960684261156887 | 0.7528442449477495 | 0.6127080181543116 | 0.9832828951184253 | 0.9983232026828757 | 0.8081052066559312 | 0.5664335664335665 | 0.9942038470772385 | 0.9871502590673575 | 0.5922477186591077 | 0.9101123595505618 | 130.6 | 81 | 5317.2 | 4763 | 90.4 | 8 | 31.0 | 62 |
| 52 | 50 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9834446069595959 | 0.9798534798534798 | 0.8473635122196328 | 0.8211287413756019 | 0.8391527985232671 | 0.8204743164871582 | 0.8341506497363043 | 0.820039633391132 | 0.8632678487668674 | 0.8222258951867112 | 0.9914842548047833 | 0.9896259038038353 | 0.7032427696344824 | 0.6526315789473685 | 0.9921769661715769 | 0.9896881287726358 | 0.6861286308749573 | 0.6512605042016807 | 0.9926399238112331 | 0.9897296164326137 | 0.6756613756613756 | 0.6503496503496503 | 0.9903343162178494 | 0.9895222129086337 | 0.7362013813158851 | 0.6549295774647887 | 109.2 | 93 | 5367.8 | 4722 | 39.8 | 49 | 52.4 | 50 |
| 53 | 51 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9790633259970475 | 0.9855514855514855 | 0.841153558692153 | 0.8412798640324161 | 0.8728679732342892 | 0.7982282553760953 | 0.8979457458927058 | 0.7754901773975343 | 0.7998293090663922 | 0.9526743222673937 | 0.9891615992948537 | 0.9926033961871028 | 0.6931455180894525 | 0.6899563318777293 | 0.9860938113144261 | 0.9961525593844095 | 0.759642135154152 | 0.6003039513677811 | 0.9840595770549463 | 0.9985328023475163 | 0.8118319147304656 | 0.5524475524475524 | 0.9943189059935005 | 0.9867439933719967 | 0.605339712139284 | 0.9186046511627907 | 131.2 | 79 | 5321.4 | 4764 | 86.2 | 7 | 30.4 | 64 |
| 54 | 52 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9827263838387225 | 0.9784289784289785 | 0.8418163921473443 | 0.8104166666666667 | 0.8353764587972152 | 0.8116765397263259 | 0.8313779980816068 | 0.8125226272365237 | 0.8539072570361388 | 0.8083412267445644 | 0.991113247427112 | 0.9888888888888889 | 0.6925195368675767 | 0.6319444444444444 | 0.9916737965384765 | 0.9887645159937953 | 0.6790791210559541 | 0.6345885634588564 | 0.9920482283539964 | 0.988681618109411 | 0.670707767809217 | 0.6363636363636364 | 0.9901819171527819 | 0.9890962465925771 | 0.7176325969194958 | 0.6275862068965518 | 108.4 | 91 | 5364.6 | 4717 | 43.0 | 54 | 53.2 | 52 |
| 55 | 53 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9768008980206858 | 0.985958485958486 | 0.8305599513833293 | 0.8470544772514138 | 0.8695046414109691 | 0.8049361241017452 | 0.9015787132032951 | 0.7824831843905413 | 0.7824943622383087 | 0.953803733564405 | 0.9879734315034959 | 0.9928102532041263 | 0.6731464712631625 | 0.7012987012987013 | 0.9840389769345291 | 0.9962358845671268 | 0.7549703058874089 | 0.6136363636363636 | 0.981433632219028 | 0.9985328023475163 | 0.8217237941875621 | 0.5664335664335665 | 0.9946023322383573 | 0.9871529216742644 | 0.5703863922382604 | 0.9204545454545454 | 132.8 | 81 | 5307.2 | 4764 | 100.4 | 7 | 28.8 | 62 |
| 56 | 54 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9831213698039255 | 0.9792429792429792 | 0.8447223836724437 | 0.816333530229988 | 0.8369491326576923 | 0.816333530229988 | 0.8321801864351294 | 0.816333530229988 | 0.8595700811750235 | 0.816333530229988 | 0.9913175035335252 | 0.9893104171033327 | 0.698127263811362 | 0.6433566433566433 | 0.9919772121585618 | 0.9893104171033327 | 0.6819210531568227 | 0.6433566433566433 | 0.9924180371598071 | 0.9893104171033327 | 0.6719423357104516 | 0.6433566433566433 | 0.9902220513308638 | 0.9893104171033327 | 0.7289181110191832 | 0.6433566433566433 | 108.6 | 92 | 5366.6 | 4720 | 41.0 | 51 | 53.0 | 51 |
| 57 | 55 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9771599644479748 | 0.9861619861619861 | 0.8324678617345456 | 0.8499051328858289 | 0.870549413977389 | 0.8082749335304329 | 0.9017712959893579 | 0.7859796878870449 | 0.7851671959357567 | 0.9543529137800547 | 0.9881614220659258 | 0.9929137140475198 | 0.6767743014031652 | 0.7068965517241379 | 0.9843365833666231 | 0.9962775523861307 | 0.756762244588155 | 0.6202723146747352 | 0.9818034615439333 | 0.9985328023475163 | 0.8217391304347826 | 0.5734265734265734 | 0.9946041530837781 | 0.9873575129533678 | 0.5757302387877352 | 0.9213483146067416 | 132.8 | 82 | 5309.2 | 4764 | 98.4 | 7 | 28.8 | 61 |
| 58 | 56 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9843423439513362 | 0.9816849816849816 | 0.8515962672957779 | 0.834572685379137 | 0.8376462906674249 | 0.8304526291168367 | 0.8292008427523566 | 0.8277662392103808 | 0.8790989434369951 | 0.8416912547807393 | 0.9919525680686949 | 0.9905739421868454 | 0.7112399665228607 | 0.6785714285714286 | 0.9931182592966671 | 0.9909475713507397 | 0.6821743220381824 | 0.6699576868829337 | 0.9938974296961096 | 0.9911968140850974 | 0.6645042558086036 | 0.6643356643356644 | 0.9900178739811054 | 0.9899518526271719 | 0.7681800128928846 | 0.6934306569343066 | 107.4 | 95 | 5374.6 | 4729 | 33.0 | 42 | 54.2 | 48 |
| 59 | 57 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9852760585093231 | 0.9857549857549858 | 0.8690263252819322 | 0.844179493916305 | 0.8680626058102767 | 0.8015872466872441 | 0.8675359181449849 | 0.7789866808940379 | 0.8710806048279599 | 0.953244322524878 | 0.9924184181081515 | 0.9927068139195666 | 0.7456342324557129 | 0.6956521739130435 | 0.9924846474229035 | 0.9961942202333653 | 0.7436405641976499 | 0.6069802731411229 | 0.9925290865008431 | 0.9985328023475163 | 0.7425427497891267 | 0.5594405594405595 | 0.9923091821368931 | 0.9869484151646986 | 0.7498520275190266 | 0.9195402298850575 | 120.0 | 80 | 5367.2 | 4764 | 40.4 | 7 | 41.6 | 63 |
| 60 | 58 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9852760778521008 | 0.9806674806674807 | 0.8588289088157204 | 0.8247747610795253 | 0.8425367115336586 | 0.8201022404248155 | 0.8326871159186661 | 0.8170671290562299 | 0.8910285271242447 | 0.8328983330460691 | 0.9924350729673485 | 0.9900513142737459 | 0.7252227446640921 | 0.6594982078853047 | 0.9937770765750521 | 0.9904869667253373 | 0.6912963464922651 | 0.6497175141242938 | 0.9946741321517253 | 0.9907776147558164 | 0.6707000996856068 | 0.6433566433566433 | 0.9902078908716071 | 0.9893260778568439 | 0.791849163376882 | 0.6764705882352942 | 108.4 | 92 | 5378.8 | 4727 | 28.8 | 44 | 53.2 | 51 |
| 61 | 59 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9848450949778735 | 0.9851444851444852 | 0.864924748110117 | 0.8368088742868502 | 0.8637435478344082 | 0.794324313262103 | 0.863110952164852 | 0.7718888740687105 | 0.8675147138883881 | 0.9467568062272402 | 0.9921969158992823 | 0.9923950411501198 | 0.7376525803209517 | 0.6812227074235808 | 0.9922850182278722 | 0.9959434593509535 | 0.7352020774409445 | 0.5927051671732523 | 0.9923441342200501 | 0.9983232026828757 | 0.7338777701096542 | 0.5454545454545454 | 0.9920516034399549 | 0.9865368682684341 | 0.7429778243368215 | 0.9069767441860465 | 118.6 | 78 | 5366.2 | 4763 | 41.4 | 8 | 43.0 | 65 |
| 62 | 60 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9845578482836347 | 0.9812779812779813 | 0.8544638250488494 | 0.8320606603634808 | 0.8418456097943446 | 0.8293423228556376 | 0.8341174922949385 | 0.8275566395457403 | 0.878823416125884 | 0.8367004406945647 | 0.9920621690653177 | 0.9903624554787346 | 0.7168654810323813 | 0.6737588652482269 | 0.9931179952045985 | 0.9906115092837084 | 0.6905732243840907 | 0.6680731364275668 | 0.9938235130769559 | 0.9907776147558164 | 0.6744114715129208 | 0.6643356643356644 | 0.9903089597867266 | 0.9899476439790575 | 0.7673378724650413 | 0.6834532374100719 | 109.0 | 95 | 5374.2 | 4727 | 33.4 | 44 | 52.6 | 48 |
| 63 | 61 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9835522624118573 | 0.985958485958486 | 0.859819400342022 | 0.8483357077519362 | 0.8680366512201619 | 0.8077227180526358 | 0.8738491122676122 | 0.7858748880547246 | 0.8472910886146134 | 0.9492330016583748 | 0.9915194211436823 | 0.9928087545596664 | 0.728119379540362 | 0.703862660944206 | 0.9907932411435187 | 0.9961100886732475 | 0.7452800612968052 | 0.6193353474320241 | 0.9903099874368422 | 0.9983232026828757 | 0.757388237098382 | 0.5734265734265734 | 0.9927332020467304 | 0.9873548922056384 | 0.7018489751824966 | 0.9111111111111111 | 122.4 | 82 | 5355.2 | 4763 | 52.4 | 8 | 39.2 | 61 |
| 64 | 62 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9849169533964789 | 0.9812779812779813 | 0.8568370718580118 | 0.8285175879396984 | 0.8424930432630889 | 0.8217366302472686 | 0.8337112822546443 | 0.8173815285531907 | 0.8845398308062051 | 0.8405310494391176 | 0.9922484245557757 | 0.9903685092127303 | 0.721425719160248 | 0.6666666666666666 | 0.993436457225814 | 0.990990990990991 | 0.6915496293003638 | 0.6524822695035462 | 0.9942303246503819 | 0.991406413749738 | 0.6731922398589065 | 0.6433566433566433 | 0.9902757144574993 | 0.9893327755699645 | 0.7788039471549112 | 0.6917293233082706 | 108.8 | 92 | 5376.4 | 4730 | 31.2 | 41 | 52.8 | 51 |
| 65 | 63 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9838036669392924 | 0.9861619861619861 | 0.8604389160803467 | 0.8499051328858289 | 0.866624624741457 | 0.8082749335304329 | 0.8709884337468516 | 0.7859796878870449 | 0.8509751031181848 | 0.9543529137800547 | 0.9916519798387302 | 0.9929137140475198 | 0.7292258523219634 | 0.7068965517241379 | 0.9911127080258915 | 0.9962775523861307 | 0.7421365414570225 | 0.6202723146747352 | 0.9907538017778839 | 0.9985328023475163 | 0.7512230657158193 | 0.5734265734265734 | 0.9925532094702245 | 0.9873575129533678 | 0.7093969967661451 | 0.9213483146067416 | 121.4 | 82 | 5357.6 | 4764 | 50.0 | 7 | 40.2 | 61 |
| 66 | 64 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9851683385811363 | 0.9812779812779813 | 0.8591179961982995 | 0.8273020510383544 | 0.8445197440278023 | 0.8191718080178915 | 0.8356447838263932 | 0.8139898248890074 | 0.8877174472607932 | 0.8418923253954448 | 0.9923776876435134 | 0.990370525434373 | 0.7258583047530854 | 0.6642335766423357 | 0.993576841426931 | 0.99111744249382 | 0.6954626466286732 | 0.647226173541963 | 0.9943782878429562 | 0.9916160134143785 | 0.6769112798098305 | 0.6363636363636364 | 0.9903870939919786 | 0.9891281622412712 | 0.7850478005296078 | 0.6946564885496184 | 109.4 | 91 | 5377.2 | 4731 | 30.4 | 40 | 52.2 | 52 |
| 67 | 65 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9853837719899172 | 0.9863654863654864 | 0.8725280542968576 | 0.8502218435235476 | 0.8759525471290383 | 0.8060361396040803 | 0.8783811337989637 | 0.7826927840551818 | 0.8673464341461543 | 0.9645093543477004 | 0.9924692639993612 | 0.9930201062610688 | 0.752586844594354 | 0.7074235807860262 | 0.9921720610102851 | 0.9965707594513216 | 0.7597330332477916 | 0.6155015197568389 | 0.9919742912157481 | 0.9989520016767973 | 0.7647879763821793 | 0.5664335664335665 | 0.9929660693106076 | 0.9871582435791217 | 0.7417267989817009 | 0.9418604651162791 | 123.6 | 81 | 5364.2 | 4766 | 43.4 | 5 | 38.0 | 62 |
| 68 | 66 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9850964995053084 | 0.9831094831094831 | 0.8576525200541152 | 0.842521101783164 | 0.842063047060007 | 0.8318391286133222 | 0.832594650037817 | 0.8251081343724396 | 0.8882257267855923 | 0.8620684026326786 | 0.9923419932250359 | 0.9913152662969551 | 0.7229630468831946 | 0.6937269372693727 | 0.993629004874472 | 0.9922496857980729 | 0.6904970892455421 | 0.6714285714285714 | 0.994489200390027 | 0.9928736114022217 | 0.670700099685607 | 0.6573426573426573 | 0.9902056750746582 | 0.9897618052653573 | 0.7862457784965265 | 0.734375 | 108.4 | 94 | 5377.8 | 4737 | 29.8 | 34 | 53.2 | 49 |
| 69 | 67 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9852042000907175 | 0.9861619861619861 | 0.8730358853177561 | 0.8499051328858289 | 0.8803921292499022 | 0.8082749335304329 | 0.8854856737602657 | 0.7859796878870449 | 0.8614778517514337 | 0.9543529137800547 | 0.9923730027905566 | 0.9929137140475198 | 0.7536987678449553 | 0.7068965517241379 | 0.9917562570094823 | 0.9962775523861307 | 0.7690280014903218 | 0.6202723146747352 | 0.9913455519527066 | 0.9985328023475163 | 0.7796257955678245 | 0.5734265734265734 | 0.9934027519900305 | 0.9873575129533678 | 0.7295529515128367 | 0.9213483146067416 | 126.0 | 82 | 5360.8 | 4764 | 46.8 | 7 | 35.6 | 61 |
| 70 | 68 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9847014941973278 | 0.9812779812779813 | 0.8557353238012355 | 0.8297156201740179 | 0.842765198755447 | 0.824286573148787 | 0.8347978938030028 | 0.8207732322173739 | 0.8806089029482849 | 0.839213224523959 | 0.9921361681250811 | 0.9903664921465969 | 0.7193344794773899 | 0.6690647482014388 | 0.9932141454457468 | 0.9908645182919164 | 0.6923162520651469 | 0.6577086280056577 | 0.9939344119446302 | 0.9911968140850974 | 0.6756613756613756 | 0.6503496503496503 | 0.9903459676116533 | 0.989537560159029 | 0.7708718382849167 | 0.6888888888888889 | 109.2 | 93 | 5374.8 | 4729 | 32.8 | 42 | 52.4 | 50 |
| 71 | 69 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9842704855327307 | 0.9863654863654864 | 0.8671555742255741 | 0.8527317741939091 | 0.8776116210780414 | 0.8116037206067368 | 0.885004873750854 | 0.7894761913835484 | 0.8512211535369596 | 0.9548922056384743 | 0.9918874487567392 | 0.9930171964564878 | 0.7424236996944087 | 0.7124463519313304 | 0.9909847148856322 | 0.9963192236908148 | 0.7642385272704508 | 0.6268882175226587 | 0.9903839519338836 | 0.9985328023475163 | 0.7796257955678245 | 0.5804195804195804 | 0.993396261073106 | 0.9875621890547264 | 0.7090460460008134 | 0.9222222222222223 | 126.0 | 83 | 5355.6 | 4764 | 52.0 | 7 | 35.6 | 60 |
| 72 | 70 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9845219287457209 | 0.9808709808709809 | 0.8548607402256367 | 0.8235477478000577 | 0.8431495700912798 | 0.8155108731107743 | 0.835910688538176 | 0.8103885215601837 | 0.8770858837367401 | 0.8379709946007887 | 0.9920426007517154 | 0.9901611890307724 | 0.7176788796995579 | 0.656934306569343 | 0.9930215423583247 | 0.9909079482130138 | 0.6932775978242349 | 0.6401137980085349 | 0.9936755293652869 | 0.991406413749738 | 0.678145847711065 | 0.6293706293706294 | 0.9904164429838973 | 0.9889190884382187 | 0.7637553244895826 | 0.6870229007633588 | 109.6 | 90 | 5373.4 | 4730 | 34.2 | 41 | 52.0 | 53 |
| 73 | 71 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9852760262713604 | 0.9865689865689866 | 0.8752596174245599 | 0.8567291245529467 | 0.8847507536162851 | 0.8176664208104449 | 0.8915297682607773 | 0.796364398544235 | 0.860991885008248 | 0.9509738977992787 | 0.9924066586867115 | 0.9931192660550459 | 0.7581125761624083 | 0.7203389830508474 | 0.9915918132668311 | 0.9962350972599875 | 0.777909693965739 | 0.6390977443609023 | 0.991049721323334 | 0.9983232026828757 | 0.792009815198221 | 0.5944055944055944 | 0.99376931115138 | 0.9879693009749014 | 0.7282144588651158 | 0.9139784946236559 | 128.0 | 85 | 5359.2 | 4763 | 48.4 | 8 | 33.6 | 58 |
| 74 | 72 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9853838106754724 | 0.9833129833129833 | 0.8587022547988894 | 0.8415768557557877 | 0.8406382408501287 | 0.8272703303325926 | 0.8297448116169523 | 0.8184295268763934 | 0.8945555549776092 | 0.8686612601880559 | 0.9924922730441008 | 0.9914243882033047 | 0.7249122365536782 | 0.6917293233082706 | 0.9939773059542493 | 0.9926701570680628 | 0.6872991757460081 | 0.6618705035971223 | 0.9949700311780806 | 0.9935024103961434 | 0.6645195920558239 | 0.6433566433566433 | 0.9900279680622888 | 0.989355040701315 | 0.7990831418929297 | 0.7479674796747967 | 107.4 | 92 | 5380.4 | 4740 | 27.2 | 31 | 54.2 | 51 |
| 75 | 73 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9874667247809672 | 0.9865689865689866 | 0.8808944679765357 | 0.8530835228353733 | 0.8654268421316349 | 0.8093836088798947 | 0.8560356633611214 | 0.7861892875516854 | 0.911259487188576 | 0.9649457434116999 | 0.9935589253362499 | 0.9931235674098771 | 0.7682300106168213 | 0.7130434782608696 | 0.994759451265719 | 0.9966124377901384 | 0.736094232997551 | 0.622154779969651 | 0.9955618565895842 | 0.9989520016767973 | 0.7165094701326586 | 0.5734265734265734 | 0.9915662202419405 | 0.9873627511912161 | 0.8309527541352113 | 0.9425287356321839 | 115.8 | 82 | 5383.6 | 4766 | 24.0 | 5 | 45.8 | 61 |
| 76 | 74 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9856351700697598 | 0.9829059829059829 | 0.861594553268447 | 0.8377128766278801 | 0.8440630937039144 | 0.8235684959885494 | 0.833470833667023 | 0.8148282235475697 | 0.896280376162564 | 0.8644918571915838 | 0.9926206592873459 | 0.9912152269399708 | 0.7305684472495483 | 0.6842105263157895 | 0.9940509272401421 | 0.9924607329842932 | 0.6940752601676868 | 0.6546762589928058 | 0.9950069997472047 | 0.9932928107315029 | 0.6719346675868414 | 0.6363636363636364 | 0.9902470619918973 | 0.9891463160091839 | 0.8023136903332307 | 0.7398373983739838 | 108.6 | 91 | 5380.6 | 4739 | 27.0 | 32 | 53.0 | 52 |
| 77 | 75 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9876821388469705 | 0.9863654863654864 | 0.8824481257185894 | 0.8527317741939091 | 0.8657090989204775 | 0.8116037206067368 | 0.8555593092061944 | 0.7894761913835484 | 0.9153499265289049 | 0.9548922056384743 | 0.9936704416866011 | 0.9930171964564878 | 0.7712258097505776 | 0.7124463519313304 | 0.9949592647185364 | 0.9963192236908148 | 0.7364589331224185 | 0.6268882175226587 | 0.9958207118101343 | 0.9985328023475163 | 0.7152979066022545 | 0.5804195804195804 | 0.9915312796956883 | 0.9875621890547264 | 0.8391685733621216 | 0.9222222222222223 | 115.6 | 83 | 5385.0 | 4764 | 22.6 | 7 | 46.0 | 60 |
| 78 | 76 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9851324190432222 | 0.9833129833129833 | 0.8584062804905994 | 0.84385854781335 | 0.8434541223782931 | 0.8324033525694168 | 0.8344095162212989 | 0.8252129342047598 | 0.8879972785848785 | 0.8649607121650007 | 0.9923597171974384 | 0.9914207993304038 | 0.7244528437837602 | 0.6962962962962963 | 0.9935917185938852 | 0.992417577814084 | 0.693316526162701 | 0.6723891273247496 | 0.9944152290532873 | 0.9930832110668623 | 0.6744038033893106 | 0.6573426573426573 | 0.990315033423508 | 0.9897639440150408 | 0.7856795237462493 | 0.7401574803149606 | 109.0 | 94 | 5377.4 | 4738 | 30.2 | 33 | 52.6 | 49 |
| 79 | 77 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9870357225639627 | 0.9865689865689866 | 0.8798050558534396 | 0.8567291245529467 | 0.8698662779881701 | 0.8176664208104449 | 0.8636401794756614 | 0.796364398544235 | 0.8982100252815538 | 0.9509738977992787 | 0.9933328198400833 | 0.9931192660550459 | 0.7662772918667957 | 0.7203389830508474 | 0.9941148806201131 | 0.9962350972599875 | 0.745617675356227 | 0.6390977443609023 | 0.9946371567429029 | 0.9983232026828757 | 0.7326432022084196 | 0.5944055944055944 | 0.9920329803869183 | 0.9879693009749014 | 0.8043870701761892 | 0.9139784946236559 | 118.4 | 85 | 5378.6 | 4763 | 29.0 | 8 | 43.2 | 58 |
| 80 | 78 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.985527475931943 | 0.9824989824989825 | 0.861442572251889 | 0.8385649607532444 | 0.8451410509401756 | 0.830154612739243 | 0.8352270579212874 | 0.8247937348754787 | 0.893287438450975 | 0.8536563177794128 | 0.9925640208925245 | 0.9909985346451748 | 0.7303211236112532 | 0.6861313868613139 | 0.9938953165563065 | 0.9917459253362383 | 0.6963867853240447 | 0.6685633001422475 | 0.9947850720575893 | 0.9922448124083001 | 0.6756690437849857 | 0.6573426573426573 | 0.9903540470495413 | 0.9897553836504286 | 0.7962208298524088 | 0.7175572519083969 | 109.2 | 94 | 5379.4 | 4734 | 28.2 | 37 | 52.4 | 49 |
| 81 | 79 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9869280026357758 | 0.9865689865689866 | 0.8787019179213326 | 0.8530835228353733 | 0.8682252121041018 | 0.8093836088798947 | 0.8617730118956839 | 0.7861892875516854 | 0.8986740607495708 | 0.9649457434116999 | 0.993277425306436 | 0.9931235674098771 | 0.7641264105362291 | 0.7130434782608696 | 0.9940925687027711 | 0.9966124377901384 | 0.7423578555054322 | 0.622154779969651 | 0.9946371977810925 | 0.9989520016767973 | 0.7289088260102753 | 0.5734265734265734 | 0.9919236322843235 | 0.9873627511912161 | 0.8054244892148184 | 0.9425287356321839 | 117.8 | 82 | 5378.6 | 4766 | 29.0 | 5 | 43.8 | 61 |
| 82 | 80 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9863534576665582 | 0.9831094831094831 | 0.8674259262522324 | 0.8402287382378553 | 0.8479481142920413 | 0.8267109219956497 | 0.8362511979033694 | 0.8183247270440731 | 0.9064151642130923 | 0.8656441511212876 | 0.992991297454395 | 0.9913188996966844 | 0.74186055505007 | 0.6891385767790262 | 0.9945540101913807 | 0.9925023037614141 | 0.7013422183927017 | 0.6609195402298851 | 0.9955987841205187 | 0.9932928107315029 | 0.6769036116862204 | 0.6433566433566433 | 0.9903985652830037 | 0.9893528183716075 | 0.8224317631431811 | 0.7419354838709677 | 109.4 | 92 | 5383.8 | 4739 | 23.8 | 32 | 52.2 | 51 |
| 83 | 81 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9871075487446055 | 0.9867724867724867 | 0.8790069366852771 | 0.8583142406586364 | 0.866173804471608 | 0.818231408861414 | 0.8582459063246997 | 0.7964691983765553 | 0.9033657949355869 | 0.9559424197067787 | 0.9933720613553818 | 0.9932242259981237 | 0.7646418120151725 | 0.723404255319149 | 0.9943744210297952 | 0.9964025767589726 | 0.7379731879134208 | 0.6400602409638554 | 0.9950440709118029 | 0.9985328023475163 | 0.7214477417375968 | 0.5944055944055944 | 0.9917070764292699 | 0.9879717959352966 | 0.8150245134419036 | 0.9239130434782609 | 116.6 | 85 | 5380.8 | 4764 | 26.8 | 7 | 45.0 | 58 |
| 84 | 82 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9862815928003602 | 0.9837199837199837 | 0.8672655258524721 | 0.8443024980038782 | 0.848994568796488 | 0.8283932426412637 | 0.8380105701949757 | 0.8186391265410339 | 0.9038070075160807 | 0.8748450305455787 | 0.9929535279033799 | 0.9916352990380594 | 0.7415775238015643 | 0.696969696969697 | 0.9944280443607486 | 0.9930058215018637 | 0.7035610932322273 | 0.6637806637806638 | 0.9954138250000273 | 0.9939216097254244 | 0.6806073153899241 | 0.6433566433566433 | 0.9905070103243874 | 0.9893594825787607 | 0.8171070047077738 | 0.7603305785123967 | 110.0 | 92 | 5382.8 | 4742 | 24.8 | 29 | 51.6 | 51 |
| 85 | 83 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9878616914033926 | 0.9863654863654864 | 0.8882433872015938 | 0.8539546788327481 | 0.8792732315001988 | 0.8143617723634435 | 0.8736615139018262 | 0.7928678950477315 | 0.9048913645687214 | 0.9504039456837321 | 0.993756270186615 | 0.9930157406442197 | 0.7827305042165724 | 0.7148936170212766 | 0.9944396638423738 | 0.9961934242449594 | 0.7641067991580239 | 0.6325301204819277 | 0.9948960666810391 | 0.9983232026828757 | 0.7524269611226133 | 0.5874125874125874 | 0.9926204964822525 | 0.9877644131065948 | 0.8171622326551903 | 0.9130434782608695 | 121.6 | 84 | 5380.0 | 4763 | 27.6 | 8 | 40.0 | 59 |
| 86 | 84 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9859943138681591 | 0.9829059829059829 | 0.8649774102836663 | 0.8411930908822298 | 0.8473115871981978 | 0.8312762678885206 | 0.8366573908444179 | 0.8250033345401193 | 0.9001315205110121 | 0.859220918082185 | 0.9928052425916853 | 0.9912097111762244 | 0.7371495779756474 | 0.6911764705882353 | 0.9942356983744481 | 0.9920817797142737 | 0.7003874760219477 | 0.6704707560627675 | 0.9951919383486014 | 0.9926640117375812 | 0.6781228433402346 | 0.6573426573426573 | 0.9904314967884258 | 0.9897596656217346 | 0.8098315442335986 | 0.7286821705426356 | 109.6 | 94 | 5381.6 | 4736 | 26.0 | 35 | 52.0 | 49 |
| 87 | 85 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9867843889600453 | 0.9873829873829874 | 0.8785119111214078 | 0.8642901813633521 | 0.8700226297866667 | 0.8226731525839097 | 0.8647044966165968 | 0.8001753015376993 | 0.8942347767857424 | 0.9666182873730043 | 0.9932018270737839 | 0.9935376276839691 | 0.7638219951690315 | 0.7350427350427351 | 0.9938628685047399 | 0.996779186012465 | 0.7461823910685934 | 0.6485671191553545 | 0.9943043233459147 | 0.9989520016767973 | 0.7351046698872786 | 0.6013986013986014 | 0.9921031218224202 | 0.9881816296910636 | 0.7963664317490646 | 0.945054945054945 | 118.8 | 86 | 5376.8 | 4766 | 30.8 | 5 | 42.8 | 57 |
| 88 | 86 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9853838106754724 | 0.9816849816849816 | 0.8608320644828911 | 0.8286252354048964 | 0.8460195719166173 | 0.8176782825713964 | 0.8369418071995559 | 0.8108077208894647 | 0.889377571584087 | 0.84879488246547 | 0.9924890562531894 | 0.9905838041431262 | 0.7291750727125927 | 0.6666666666666666 | 0.9937102146304163 | 0.9915797411084579 | 0.6983289292028184 | 0.6437768240343348 | 0.9945262031576426 | 0.9922448124083001 | 0.6793574112414691 | 0.6293706293706294 | 0.9904612858624674 | 0.9889283476081053 | 0.7882938573057066 | 0.7086614173228346 | 109.8 | 90 | 5378.0 | 4734 | 29.6 | 37 | 51.8 | 53 |
| 89 | 87 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.987323053076904 | 0.986975986975987 | 0.884598514469672 | 0.8610706662331604 | 0.8787856640754045 | 0.8215303999383525 | 0.8751728471338343 | 0.7999657018730588 | 0.8954908545017657 | 0.9564539548079303 | 0.9934769475740686 | 0.9933277731442869 | 0.775720081365275 | 0.7288135593220338 | 0.993928642865467 | 0.9964442585233215 | 0.7636426852853422 | 0.6466165413533834 | 0.9942303656885716 | 0.9985328023475163 | 0.7561153285790967 | 0.6013986013986014 | 0.9927264837778942 | 0.9881767268201618 | 0.7982552252256373 | 0.9247311827956989 | 122.2 | 86 | 5376.4 | 4764 | 31.2 | 7 | 39.4 | 57 |
| 90 | 88 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9862816121431379 | 0.9839234839234839 | 0.8660646344104338 | 0.8433624344377819 | 0.8458825049631292 | 0.8237478893318506 | 0.8338075284846095 | 0.8119605190449877 | 0.9067069512881453 | 0.8824078998433256 | 0.9929553768455538 | 0.9917441738948688 | 0.7391738919753138 | 0.694980694980695 | 0.9945838653873544 | 0.9934260112218407 | 0.6971811445389042 | 0.6540697674418605 | 0.995672721258767 | 0.9945504087193461 | 0.6719423357104516 | 0.6293706293706294 | 0.9902539371851116 | 0.9889537307211338 | 0.8231599653911792 | 0.7758620689655172 | 108.6 | 90 | 5384.2 | 4745 | 23.4 | 26 | 53.0 | 53 |
| 91 | 89 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9878976302840842 | 0.9857549857549858 | 0.8820709100771731 | 0.8454905779707063 | 0.8606902149712283 | 0.8043882221350002 | 0.8478629619375315 | 0.7823783845582211 | 0.9248508322510147 | 0.9486313093089597 | 0.9937849687886153 | 0.9927052938724469 | 0.7703568513657307 | 0.6982758620689655 | 0.9954261494332506 | 0.9960684261156887 | 0.7259542805092061 | 0.6127080181543116 | 0.9965234087305191 | 0.9983232026828757 | 0.6992025151445442 | 0.5664335664335665 | 0.9910621488085394 | 0.9871502590673575 | 0.8586395156934901 | 0.9101123595505618 | 113.0 | 81 | 5388.8 | 4763 | 18.8 | 8 | 48.6 | 62 |
| 92 | 90 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9864252902947935 | 0.9841269841269841 | 0.8680539850900562 | 0.8459239130434782 | 0.8485229087228111 | 0.8269224843623216 | 0.8368831320767439 | 0.8154570225414912 | 0.9078245542283788 | 0.8834688346883469 | 0.9930281395674434 | 0.9918478260869565 | 0.7430798306126688 | 0.7 | 0.9945908062669877 | 0.9934676102340773 | 0.7024550111786347 | 0.660377358490566 | 0.9956357526896429 | 0.9945504087193461 | 0.6781305114638447 | 0.6363636363636364 | 0.9904362833931349 | 0.989159891598916 | 0.8252128250636227 | 0.7777777777777778 | 109.6 | 91 | 5384.0 | 4745 | 23.6 | 26 | 52.0 | 52 |
| 93 | 91 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9877180777276621 | 0.9863654863654864 | 0.8816788103460759 | 0.8502218435235476 | 0.8635452070705993 | 0.8060361396040803 | 0.8525685204705444 | 0.7826927840551818 | 0.9174187901108943 | 0.9645093543477004 | 0.9936906624647277 | 0.9930201062610688 | 0.7696669582274238 | 0.7074235807860262 | 0.99510035731344 | 0.9965707594513216 | 0.7319900568277584 | 0.6155015197568389 | 0.9960426463394482 | 0.9989520016767973 | 0.709094394601641 | 0.5664335664335665 | 0.9913510840375738 | 0.9871582435791217 | 0.8434864961842148 | 0.9418604651162791 | 114.6 | 81 | 5386.2 | 4766 | 21.4 | 5 | 47.0 | 62 |
| 94 | 92 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9863893191761395 | 0.9843304843304843 | 0.8680289210749411 | 0.8528497054684058 | 0.8492896024182404 | 0.8403417198314602 | 0.8380507209999329 | 0.8325203406947277 | 0.9057032439439222 | 0.8760442773600667 | 0.9930092469363638 | 0.9919447640966629 | 0.7430485952135186 | 0.7137546468401487 | 0.9945168387330938 | 0.9930043565683646 | 0.7040623661033872 | 0.6876790830945558 | 0.9955247991043825 | 0.9937120100607839 | 0.6805766428954835 | 0.6713286713286714 | 0.9905081161865528 | 0.9901837928153717 | 0.8208983717012914 | 0.7619047619047619 | 110.0 | 96 | 5383.4 | 4741 | 24.2 | 30 | 51.6 | 47 |
| 95 | 93 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9878257976558489 | 0.985958485958486 | 0.8842208310702262 | 0.8444242454553421 | 0.8679280717325744 | 0.7993107797861034 | 0.8580322619712228 | 0.7756997770621749 | 0.9161820659574579 | 0.9636128364389234 | 0.993743636055135 | 0.9928132486199355 | 0.7746980260853175 | 0.6960352422907489 | 0.994988594249785 | 0.9964874132307435 | 0.7408675492153639 | 0.6021341463414634 | 0.9958206776116431 | 0.9989520016767973 | 0.720243846330803 | 0.5524475524475524 | 0.9916771024774368 | 0.9867494824016563 | 0.8406870294374788 | 0.9404761904761905 | 116.4 | 79 | 5385.0 | 4766 | 22.6 | 5 | 45.2 | 64 |
| 96 | 94 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'} | 0.9858147806545144 | 0.9835164835164835 | 0.8633515313617762 | 0.8417734174221208 | 0.8458983725899957 | 0.8252393428637965 | 0.8353750176940125 | 0.8151426230445304 | 0.8980425588895626 | 0.8737432206925323 | 0.9927128498824601 | 0.9915316257187663 | 0.7339902128410922 | 0.6920152091254753 | 0.9941321802199491 | 0.9929642348605411 | 0.6976645649600421 | 0.6575144508670521 | 0.9950809916030391 | 0.9939216097254244 | 0.6756690437849857 | 0.6363636363636364 | 0.9903576015580366 | 0.9891531080517313 | 0.8057275162210887 | 0.7583333333333333 | 109.2 | 91 | 5381.0 | 4742 | 26.6 | 29 | 52.4 | 52 |
| 97 | 95 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'} | 0.9872871270913974 | 0.986975986975987 | 0.8800631804638407 | 0.8599124452782989 | 0.8659171596888884 | 0.8187978416363408 | 0.8571752725899859 | 0.7965739982088755 | 0.9068781945378499 | 0.9610201119635082 | 0.9934654543252088 | 0.9933291640608714 | 0.7666609066024727 | 0.7264957264957265 | 0.9945670141824963 | 0.9965700422470406 | 0.7372673051952805 | 0.6410256410256411 | 0.995302926132353 | 0.9987424020121568 | 0.719047619047619 | 0.5944055944055944 | 0.9916356488755037 | 0.9879742898610823 | 0.8221207402001959 | 0.9340659340659341 | 116.2 | 85 | 5382.2 | 4765 | 25.4 | 6 | 45.4 | 58 |
| 98 | 96 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9849529696482806 | 0.9837199837199837 | 0.8594042495202323 | 0.8454408348836953 | 0.8483534317802419 | 0.8309721646766357 | 0.841560102542602 | 0.8220308302052171 | 0.8805834053942547 | 0.872830663184528 | 0.9922633264979815 | 0.9916335494666387 | 0.7265451725424832 | 0.6992481203007519 | 0.9931764562837204 | 0.9928795811518325 | 0.7035304072767634 | 0.6690647482014388 | 0.9937865650269266 | 0.9937120100607839 | 0.6893336400582777 | 0.6503496503496503 | 0.9907468388274416 | 0.989563765393446 | 0.7704199719610678 | 0.7560975609756098 | 111.4 | 93 | 5374.0 | 4741 | 33.6 | 30 | 50.2 | 50 |
| 99 | 97 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9778782327019959 | 0.9863654863654864 | 0.8350197757476673 | 0.8527317741939091 | 0.8698531015814683 | 0.8116037206067368 | 0.8979419723832882 | 0.7894761913835484 | 0.790794567017687 | 0.9548922056384743 | 0.9885408167984646 | 0.9930171964564878 | 0.6814987346968698 | 0.7124463519313304 | 0.985089308059325 | 0.9963192236908148 | 0.7546168951036119 | 0.6268882175226587 | 0.982802125887656 | 0.9985328023475163 | 0.8130818188789203 | 0.5804195804195804 | 0.9943493208522503 | 0.9875621890547264 | 0.5872398131831238 | 0.9222222222222223 | 131.4 | 83 | 5314.6 | 4764 | 93.0 | 7 | 30.2 | 60 |
| 100 | 98 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9844142797410518 | 0.9837199837199837 | 0.8556810116213459 | 0.8454408348836953 | 0.8467726219122605 | 0.8309721646766357 | 0.8412827049000546 | 0.8220308302052171 | 0.8726529608870319 | 0.872830663184528 | 0.9919842149544934 | 0.9916335494666387 | 0.7193778082881983 | 0.6992481203007519 | 0.992732101874178 | 0.9928795811518325 | 0.700813141950343 | 0.6690647482014388 | 0.9932317697418315 | 0.9937120100607839 | 0.6893336400582778 | 0.6503496503496503 | 0.9907420235310689 | 0.989563765393446 | 0.754563898242995 | 0.7560975609756098 | 111.4 | 93 | 5371.0 | 4741 | 36.6 | 30 | 50.2 | 50 |
| 101 | 99 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9784168968188546 | 0.9855514855514855 | 0.8365194719672171 | 0.8412798640324161 | 0.8685877485291 | 0.7982282553760953 | 0.8940047782521663 | 0.7754901773975343 | 0.7949030409312786 | 0.9526743222673937 | 0.9888263988166299 | 0.9926033961871028 | 0.6842125451178046 | 0.6899563318777293 | 0.9856932214385008 | 0.9961525593844095 | 0.7514822756196992 | 0.6003039513677811 | 0.9836157216757151 | 0.9985328023475163 | 0.8043938348286176 | 0.5524475524475524 | 0.9940940066159332 | 0.9867439933719967 | 0.5957120752466241 | 0.9186046511627907 | 130.0 | 79 | 5319.0 | 4764 | 88.6 | 7 | 31.6 | 64 |
| 102 | 100 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.984306559812865 | 0.9827024827024827 | 0.8559248759596414 | 0.836378828315876 | 0.8487277440374303 | 0.8230142515447478 | 0.8442212127583039 | 0.8147234237152493 | 0.8692349807209588 | 0.8615075089231599 | 0.9919268868035575 | 0.9911097165568455 | 0.7199228651157252 | 0.6816479400749064 | 0.9925318995838441 | 0.9922928709055877 | 0.7049235884910162 | 0.6537356321839081 | 0.9929359459521571 | 0.9930832110668623 | 0.6955064795644507 | 0.6363636363636364 | 0.9909213407706596 | 0.9891440501043841 | 0.7475486206712582 | 0.7338709677419355 | 112.4 | 91 | 5369.4 | 4738 | 38.2 | 33 | 49.2 | 52 |
| 103 | 101 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9764776350746454 | 0.9861619861619861 | 0.8276216350548902 | 0.8499051328858289 | 0.8651709670496952 | 0.8082749335304329 | 0.8960001669563056 | 0.7859796878870449 | 0.7810472290627162 | 0.9543529137800547 | 0.9878072033286456 | 0.9929137140475198 | 0.6674360667811348 | 0.7068965517241379 | 0.9839728921867813 | 0.9962775523861307 | 0.746369041912609 | 0.6202723146747352 | 0.9814336595778208 | 0.9985328023475163 | 0.8105666743347903 | 0.5734265734265734 | 0.9942665659958699 | 0.9873575129533678 | 0.5678278921295625 | 0.9213483146067416 | 131.0 | 82 | 5307.2 | 4764 | 100.4 | 7 | 30.6 | 61 |
| 104 | 102 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9842347336322224 | 0.9831094831094831 | 0.8561471866417026 | 0.842521101783164 | 0.8502680778441979 | 0.8318391286133222 | 0.846594707283789 | 0.8251081343724396 | 0.8670501051010182 | 0.8620684026326786 | 0.9918884395451671 | 0.9913152662969551 | 0.720405933738238 | 0.6937269372693727 | 0.9923834135783005 | 0.9922496857980729 | 0.7081527421100954 | 0.6714285714285714 | 0.9927139909037486 | 0.9928736114022217 | 0.7004754236638295 | 0.6573426573426573 | 0.9910658537647798 | 0.9897618052653573 | 0.7430343564372566 | 0.734375 | 113.2 | 94 | 5368.2 | 4737 | 39.4 | 34 | 48.4 | 49 |
| 105 | 103 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9773754816754584 | 0.9857549857549858 | 0.8338088988641548 | 0.8454905779707063 | 0.8719046413641168 | 0.8043882221350002 | 0.9030798489067287 | 0.7823783845582211 | 0.786403231099035 | 0.9486313093089597 | 0.9882738719118173 | 0.9927052938724469 | 0.6793439258164924 | 0.6982758620689655 | 0.9844705208627319 | 0.9960684261156887 | 0.7593387618655016 | 0.6127080181543116 | 0.9819514315762057 | 0.9983232026828757 | 0.8242082662372517 | 0.5664335664335665 | 0.9946795847839335 | 0.9871502590673575 | 0.5781268774141367 | 0.9101123595505618 | 133.2 | 81 | 5310.0 | 4763 | 97.6 | 8 | 28.4 | 62 |
| 106 | 104 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9855275533030532 | 0.9837199837199837 | 0.8620473152027145 | 0.8443024980038782 | 0.8469072502205531 | 0.8283932426412637 | 0.837652932499798 | 0.8186391265410339 | 0.8913633732693429 | 0.8748450305455787 | 0.992563146348559 | 0.9916352990380594 | 0.7315314840568701 | 0.696969696969697 | 0.9938063944856144 | 0.9930058215018637 | 0.7000081059554918 | 0.6637806637806638 | 0.9946372046207905 | 0.9939216097254244 | 0.6806686603788054 | 0.6433566433566433 | 0.9904989369385204 | 0.9893594825787607 | 0.7922278096001655 | 0.7603305785123967 | 110.0 | 92 | 5378.6 | 4742 | 29.0 | 29 | 51.6 | 51 |
| 107 | 105 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9847014426165878 | 0.9863654863654864 | 0.8632079102851252 | 0.8527317741939091 | 0.8612717703342152 | 0.8116037206067368 | 0.8600276838689567 | 0.7894761913835484 | 0.86662453445884 | 0.9548922056384743 | 0.9921239280877264 | 0.9930171964564878 | 0.7342918924825239 | 0.7124463519313304 | 0.9922781686451534 | 0.9963192236908148 | 0.730265372023277 | 0.6268882175226587 | 0.9923811096288725 | 0.9985328023475163 | 0.7276742581090407 | 0.5804195804195804 | 0.9918673160893929 | 0.9875621890547264 | 0.7413817528282872 | 0.9222222222222223 | 117.6 | 83 | 5366.4 | 4764 | 41.2 | 7 | 44.0 | 60 |
| 108 | 106 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.985168448190209 | 0.9849409849409849 | 0.8593919425146102 | 0.8549107605977276 | 0.8454002284319145 | 0.8369669345371191 | 0.836873048813246 | 0.8260513328633219 | 0.886667818898389 | 0.8898484941421825 | 0.9923773235653067 | 0.9922642692870584 | 0.7264065614639134 | 0.7175572519083969 | 0.9935323970335972 | 0.9937602077138908 | 0.697268059830232 | 0.6801736613603473 | 0.9943043370253113 | 0.9947600083839866 | 0.6794417606011809 | 0.6573426573426573 | 0.9904597230352182 | 0.9897810218978103 | 0.7828759147615595 | 0.7899159663865546 | 109.8 | 94 | 5376.8 | 4746 | 30.8 | 25 | 51.8 | 49 |
| 109 | 107 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9851683450287287 | 0.9853479853479854 | 0.867078731383568 | 0.8383552631578948 | 0.8647195853985246 | 0.7948591039779475 | 0.8632888847281579 | 0.7719936739010309 | 0.871587954768321 | 0.9520933575335291 | 0.9923646861628213 | 0.9925 | 0.741792776604315 | 0.6842105263157895 | 0.9925518659028729 | 0.9961109020198219 | 0.7368873048941765 | 0.593607305936073 | 0.9926769949758313 | 0.9985328023475163 | 0.7339007744804846 | 0.5454545454545454 | 0.9920540899148221 | 0.9865396562435287 | 0.7511218196218196 | 0.9176470588235294 | 118.6 | 78 | 5368.0 | 4764 | 39.6 | 7 | 43.0 | 65 |
| 110 | 108 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9850607089192449 | 0.9839234839234839 | 0.8607782809562249 | 0.8456802466215746 | 0.8504002566461626 | 0.8289567585128061 | 0.8440145778627667 | 0.8187439263733541 | 0.8806303642311141 | 0.8780141843971632 | 0.9923181157504943 | 0.9917407213800313 | 0.7292384461619557 | 0.6996197718631179 | 0.9931762343075448 | 0.9931736326325488 | 0.7076242789847803 | 0.6647398843930635 | 0.9937495759387076 | 0.9941312093900649 | 0.6942795797868262 | 0.6433566433566433 | 0.9908929438821478 | 0.9893617021276596 | 0.7703677845800805 | 0.7666666666666667 | 112.2 | 92 | 5373.8 | 4743 | 33.8 | 28 | 49.4 | 51 |
| 111 | 109 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.983911373972294 | 0.985958485958486 | 0.8611094302735921 | 0.8470544772514138 | 0.8665800232613059 | 0.8049361241017452 | 0.8704297780460554 | 0.7824831843905413 | 0.852701789714932 | 0.953803733564405 | 0.9917079857709886 | 0.9928102532041263 | 0.7305108747761956 | 0.7012987012987013 | 0.9912239163984287 | 0.9962358845671268 | 0.7419361301241829 | 0.6136363636363636 | 0.9909017307719667 | 0.9985328023475163 | 0.7499578253201442 | 0.5664335664335665 | 0.9925168864014176 | 0.9871529216742644 | 0.7128866930284468 | 0.9204545454545454 | 121.2 | 81 | 5358.4 | 4764 | 49.2 | 7 | 40.4 | 62 |
| 112 | 110 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9852761552232108 | 0.9837199837199837 | 0.8615575717835842 | 0.8443024980038782 | 0.8493085114368366 | 0.8283932426412637 | 0.8417265260807945 | 0.8186391265410339 | 0.8847456711087387 | 0.8748450305455787 | 0.9924310057554789 | 0.9916352990380594 | 0.7306841378116896 | 0.696969696969697 | 0.9934432187360505 | 0.9930058215018637 | 0.7051738041376228 | 0.6637806637806638 | 0.9941194121033112 | 0.9939216097254244 | 0.6893336400582777 | 0.6433566433566433 | 0.9907494973147154 | 0.9893594825787607 | 0.7787418449027623 | 0.7603305785123967 | 111.4 | 92 | 5375.8 | 4742 | 31.8 | 29 | 50.2 | 51 |
| 113 | 111 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9840191196908508 | 0.985958485958486 | 0.8623784424245361 | 0.8470544772514138 | 0.8681564572770248 | 0.8049361241017452 | 0.8722969798245241 | 0.7824831843905413 | 0.8537251150824705 | 0.953803733564405 | 0.991762740487338 | 0.9928102532041263 | 0.7329941443617344 | 0.7012987012987013 | 0.9912456976371468 | 0.9962358845671268 | 0.745067216916903 | 0.6136363636363636 | 0.9909017581307598 | 0.9985328023475163 | 0.7536922015182885 | 0.5664335664335665 | 0.992627518268583 | 0.9871529216742644 | 0.7148227118963583 | 0.9204545454545454 | 121.8 | 81 | 5358.4 | 4764 | 49.2 | 7 | 39.8 | 62 |
| 114 | 112 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9856353054692025 | 0.9845339845339846 | 0.8639469564588558 | 0.8509894298030716 | 0.8495130369944661 | 0.8332442950284384 | 0.8407023802639111 | 0.8224500295344982 | 0.8919811370115468 | 0.8855425381831565 | 0.9926171004675945 | 0.9920551954840059 | 0.735276812450117 | 0.7099236641221374 | 0.9937836747691196 | 0.9935508187110013 | 0.7052423992198127 | 0.6729377713458755 | 0.994563260642844 | 0.9945504087193461 | 0.6868414998849781 | 0.6503496503496503 | 0.9906802485938806 | 0.9895724713242962 | 0.793282025429213 | 0.7815126050420168 | 111.0 | 93 | 5378.2 | 4745 | 29.4 | 26 | 50.6 | 50 |
| 115 | 113 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9853838106754722 | 0.986975986975987 | 0.8733124918711163 | 0.8610706662331604 | 0.8784003041284766 | 0.8215303999383525 | 0.8819930850050746 | 0.7999657018730588 | 0.8655593445156782 | 0.9564539548079303 | 0.9924678438879686 | 0.9933277731442869 | 0.7541571398542637 | 0.7288135593220338 | 0.9920383137010556 | 0.9964442585233215 | 0.7647622945558975 | 0.6466165413533834 | 0.9917524456025116 | 0.9985328023475163 | 0.7722337244076375 | 0.6013986013986014 | 0.9931856752223067 | 0.9881767268201618 | 0.7379330138090495 | 0.9247311827956989 | 124.8 | 86 | 5363.0 | 4764 | 44.6 | 7 | 36.8 | 57 |
| 116 | 114 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9858866455207125 | 0.9855514855514855 | 0.86642109705816 | 0.8592244663934496 | 0.852775895592992 | 0.8387014984526635 | 0.8444360704375921 | 0.8263657323602828 | 0.8928713419235825 | 0.9000661195038162 | 0.99274610623247 | 0.9925802069181733 | 0.7400960878838498 | 0.7258687258687259 | 0.9938575175592173 | 0.9942634620216062 | 0.7116942736267668 | 0.6831395348837209 | 0.9946002292119683 | 0.9953888073779082 | 0.694271911663216 | 0.6573426573426573 | 0.9909007989385641 | 0.9897874114214256 | 0.794841884908601 | 0.8103448275862069 | 112.2 | 94 | 5378.4 | 4749 | 29.2 | 22 | 49.4 | 49 |
| 117 | 115 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.985707002697995 | 0.9863654863654864 | 0.8764945257732805 | 0.8527317741939091 | 0.8819498551934156 | 0.8116037206067368 | 0.8857522347227663 | 0.7894761913835484 | 0.8680036554953914 | 0.9548922056384743 | 0.9926337256816595 | 0.9930171964564878 | 0.7603553258649012 | 0.7124463519313304 | 0.9921712477839542 | 0.9963192236908148 | 0.7717284626028772 | 0.6268882175226587 | 0.9918633376304878 | 0.9985328023475163 | 0.7796411318150448 | 0.5804195804195804 | 0.9934061609926447 | 0.9875621890547264 | 0.7426011499981378 | 0.9222222222222223 | 126.0 | 83 | 5363.6 | 4764 | 44.0 | 7 | 35.6 | 60 |
| 118 | 116 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9852401969997417 | 0.9841269841269841 | 0.8621004416701048 | 0.8459239130434782 | 0.8510085716363234 | 0.8269224843623216 | 0.8441108607061754 | 0.8154570225414912 | 0.8829127630207729 | 0.8834688346883469 | 0.9924111256733328 | 0.9918478260869565 | 0.7317897576668769 | 0.7 | 0.9933244315811798 | 0.9934676102340773 | 0.7086927116914671 | 0.660377358490566 | 0.9939344735019147 | 0.9945504087193461 | 0.6942872479104364 | 0.6363636363636364 | 0.9908936143681959 | 0.989159891598916 | 0.7749319116733497 | 0.7777777777777778 | 112.2 | 91 | 5374.8 | 4745 | 32.8 | 26 | 49.4 | 52 |
| 119 | 117 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9842345917851867 | 0.9863654863654864 | 0.8671363309299874 | 0.8527317741939091 | 0.8782860556307721 | 0.8116037206067368 | 0.8861992908471313 | 0.7894761913835484 | 0.8502386320835249 | 0.9548922056384743 | 0.9918683482570924 | 0.9930171964564878 | 0.7424043136028826 | 0.7124463519313304 | 0.9909104090579103 | 0.9963192236908148 | 0.7656617022036338 | 0.6268882175226587 | 0.9902729778295285 | 0.9985328023475163 | 0.7821256038647342 | 0.5804195804195804 | 0.9934697137766371 | 0.9875621890547264 | 0.7070075503904127 | 0.9222222222222223 | 126.4 | 83 | 5355.0 | 4764 | 52.6 | 7 | 35.2 | 60 |
| 120 | 118 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9852043096997903 | 0.9843304843304843 | 0.8611951110069589 | 0.8495870758210284 | 0.8495326979140161 | 0.8326741741618158 | 0.8422883332387816 | 0.8223452297021779 | 0.8831191503564145 | 0.8822851481017939 | 0.9923935946747557 | 0.9919498170412964 | 0.7299966273391619 | 0.7072243346007605 | 0.993361753798804 | 0.9933830304045564 | 0.7057036420292284 | 0.6719653179190751 | 0.9940084585180509 | 0.9943408090547056 | 0.6905682079595122 | 0.6503496503496503 | 0.9907850354426303 | 0.9895702962035878 | 0.775453265270199 | 0.775 | 111.6 | 93 | 5375.2 | 4744 | 32.4 | 27 | 50.0 | 50 |
| 121 | 119 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9844500832223003 | 0.985958485958486 | 0.8686661769459516 | 0.8483357077519362 | 0.8793137303235887 | 0.8077227180526358 | 0.8869205633831079 | 0.7858748880547246 | 0.852679237660008 | 0.9492330016583748 | 0.9919799783410355 | 0.9928087545596664 | 0.7453523755508676 | 0.703862660944206 | 0.9910660055707077 | 0.9961100886732475 | 0.76756145507647 | 0.6193353474320241 | 0.9904579506294164 | 0.9983232026828757 | 0.7833831761367993 | 0.5734265734265734 | 0.9935083314194877 | 0.9873548922056384 | 0.711850143900528 | 0.9111111111111111 | 126.6 | 82 | 5356.0 | 4763 | 51.6 | 8 | 35.0 | 61 |
| 122 | 120 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9862098246480502 | 0.9853479853479854 | 0.8668928967893695 | 0.8545075327042235 | 0.8488537249049933 | 0.8303263026912768 | 0.8380119627629972 | 0.8160858215354128 | 0.9029357997551164 | 0.904496626545346 | 0.992916177989191 | 0.992479632337581 | 0.740869615589548 | 0.7165354330708661 | 0.9943687843956448 | 0.9944739816636664 | 0.703338665414342 | 0.6661786237188873 | 0.9953399288999686 | 0.9958080067071893 | 0.6806839966260256 | 0.6363636363636364 | 0.9905060612717493 | 0.9891734332708724 | 0.8153655382384833 | 0.8198198198198198 | 110.0 | 91 | 5382.4 | 4751 | 25.2 | 20 | 51.6 | 52 |
| 123 | 121 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9874666732002272 | 0.985958485958486 | 0.8814884494025248 | 0.8457508537779818 | 0.8672615672304591 | 0.8021321974900877 | 0.8584614798021967 | 0.7790914807263581 | 0.9084189593795594 | 0.9585918383075471 | 0.9935581776985511 | 0.9928117512240858 | 0.7694187211064984 | 0.6986899563318777 | 0.9946706705115418 | 0.9963616594178655 | 0.7398524639493763 | 0.60790273556231 | 0.9954138728779153 | 0.9987424020121568 | 0.721509086726478 | 0.5594405594405595 | 0.9917101577055469 | 0.9869511184755593 | 0.8251277610535718 | 0.9302325581395349 | 116.6 | 80 | 5382.8 | 4765 | 24.8 | 6 | 45.0 | 63 |
| 124 | 122 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9861739309005063 | 0.9849409849409849 | 0.8664365538691194 | 0.8538252508361204 | 0.8479233341666443 | 0.834388749878525 | 0.8367882247021111 | 0.8226596291991387 | 0.903349481617578 | 0.8922243068584532 | 0.9928979482871411 | 0.9922658862876255 | 0.739975159451098 | 0.7153846153846154 | 0.9943836674862216 | 0.9938863531677903 | 0.7014630008470674 | 0.6748911465892597 | 0.9953769248278859 | 0.9949696080486271 | 0.6781995245763361 | 0.6503496503496503 | 0.9904327947434302 | 0.9895768188451115 | 0.8162661684917261 | 0.7948717948717948 | 109.6 | 93 | 5382.6 | 4747 | 25.0 | 24 | 52.0 | 50 |
| 125 | 123 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9873230853148666 | 0.986975986975987 | 0.8790564352932337 | 0.8599124452782989 | 0.8624960212345563 | 0.8187978416363408 | 0.852395780338574 | 0.7965739982088755 | 0.911211861132864 | 0.9610201119635082 | 0.9934859900559758 | 0.9933291640608714 | 0.7646268805304915 | 0.7264957264957265 | 0.9947746295097396 | 0.9965700422470406 | 0.7302174129593728 | 0.6410256410256411 | 0.9956358210866256 | 0.9987424020121568 | 0.7091557395905221 | 0.5944055944055944 | 0.991346608753422 | 0.9879742898610823 | 0.8310771135123061 | 0.9340659340659341 | 114.6 | 85 | 5384.0 | 4765 | 23.6 | 6 | 47.0 | 58 |
| 126 | 124 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9860302656440355 | 0.9849409849409849 | 0.8667076246826705 | 0.8559798106535873 | 0.8513766768035534 | 0.8395298632765651 | 0.8421072057651429 | 0.8294430365275052 | 0.8970231412827726 | 0.8875546811551971 | 0.9928215269851004 | 0.9922626516102049 | 0.7405937223802408 | 0.7196969696969697 | 0.9940649476395151 | 0.9936340411274448 | 0.7086884059675915 | 0.6854256854256854 | 0.9948961077192287 | 0.9945504087193461 | 0.6893183038110575 | 0.6643356643356644 | 0.9907579588207038 | 0.9899853953682454 | 0.8032883237448412 | 0.7851239669421488 | 111.4 | 95 | 5380.0 | 4745 | 27.6 | 26 | 50.2 | 48 |
| 127 | 125 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9867484952125013 | 0.9861619861619861 | 0.8779289310066124 | 0.8460165931507633 | 0.8694285677040524 | 0.7998541271328321 | 0.8641025557528981 | 0.7758045768944951 | 0.8936534785934558 | 0.9692797270639171 | 0.9931837953929781 | 0.9929181420537389 | 0.7626740666202465 | 0.6991150442477876 | 0.9938556572032292 | 0.9966548191511604 | 0.7450014782048756 | 0.6030534351145038 | 0.9943043370253113 | 0.9991616013414378 | 0.7339007744804846 | 0.5524475524475524 | 0.9920671021377746 | 0.9867522252121714 | 0.7952398550491371 | 0.9518072289156626 | 118.6 | 79 | 5376.8 | 4767 | 30.8 | 4 | 43.0 | 64 |
| 128 | 126 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9859225457158487 | 0.9841269841269841 | 0.865838929090336 | 0.8470680990084156 | 0.8503404424578843 | 0.8295216555197578 | 0.840854146739648 | 0.8188487262056745 | 0.8957493605741955 | 0.8812365822241306 | 0.99276611807646 | 0.9918461216809534 | 0.7389117401042121 | 0.7022900763358778 | 0.9940207445948408 | 0.9933414297081117 | 0.706660140320928 | 0.6657018813314037 | 0.9948591254707081 | 0.9943408090547056 | 0.6868491680085882 | 0.6433566433566433 | 0.9906828872261798 | 0.989363920750782 | 0.8008158339222116 | 0.773109243697479 | 111.0 | 92 | 5379.8 | 4744 | 27.8 | 27 | 50.6 | 51 |
| 129 | 127 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9873948728099542 | 0.9867724867724867 | 0.8823147209545408 | 0.8559208843672739 | 0.870569826991846 | 0.8127209992015513 | 0.8632186571270907 | 0.7896857910481889 | 0.904083076317456 | 0.965374580868779 | 0.9935188949003024 | 0.9932270501198291 | 0.7711105470087791 | 0.7186147186147186 | 0.9944333259336805 | 0.9966541196152238 | 0.7467063280500116 | 0.6287878787878788 | 0.9950440161942169 | 0.9989520016767973 | 0.7313932980599647 | 0.5804195804195804 | 0.9919991053901889 | 0.9875673435557397 | 0.8161670472447231 | 0.9431818181818182 | 118.2 | 83 | 5380.8 | 4766 | 26.8 | 5 | 43.4 | 60 |
| 130 | 128 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.98671255633181 | 0.9851444851444852 | 0.871308872824671 | 0.8563380586282587 | 0.8525434797766162 | 0.8375436967445926 | 0.8412533038688608 | 0.8261561326956421 | 0.9087263413740228 | 0.8931966610593574 | 0.9931751111367302 | 0.9923696038465558 | 0.7494426345126118 | 0.7203065134099617 | 0.9946720266541492 | 0.99392797319933 | 0.7104149328990829 | 0.6811594202898551 | 0.9956727759763533 | 0.9949696080486271 | 0.686833831761368 | 0.6573426573426573 | 0.9906914067501285 | 0.9897831526271893 | 0.826761275997917 | 0.7966101694915254 | 111.0 | 94 | 5384.2 | 4747 | 23.4 | 24 | 50.6 | 49 |
| 131 | 129 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9868920766502693 | 0.9865689865689866 | 0.8773633886165371 | 0.8543196878009516 | 0.8651775003710371 | 0.8121616449258658 | 0.8575552926037675 | 0.7895809912158687 | 0.8999705303396295 | 0.9600745182511498 | 0.9932608076933087 | 0.9931221342225928 | 0.7614659695397654 | 0.7155172413793104 | 0.9942190880474182 | 0.9964866786565728 | 0.7361359126946558 | 0.6278366111951589 | 0.9948590707531221 | 0.9987424020121568 | 0.720251514454413 | 0.5804195804195804 | 0.9916681734357834 | 0.9875647668393782 | 0.8082728872434755 | 0.9325842696629213 | 116.4 | 83 | 5379.8 | 4765 | 27.8 | 6 | 45.2 | 60 |
| 132 | 130 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9864612162803 | 0.9851444851444852 | 0.8683753912223772 | 0.857400734219936 | 0.848740060476232 | 0.840109005459835 | 0.836920803769577 | 0.8295478363598254 | 0.9074580007342858 | 0.8908270755110554 | 0.9930468415978334 | 0.9923680083638264 | 0.7437039408469208 | 0.7224334600760456 | 0.9946206329508351 | 0.9938018259485719 | 0.7028594880016288 | 0.6864161849710982 | 0.9956727554572586 | 0.9947600083839866 | 0.6781688520818956 | 0.6643356643356644 | 0.9904355003080028 | 0.9899874843554443 | 0.8244805011605688 | 0.7916666666666666 | 109.6 | 95 | 5384.2 | 4746 | 23.4 | 25 | 52.0 | 48 |
| 133 | 131 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9869998417116037 | 0.9857549857549858 | 0.8796296978634249 | 0.844179493916305 | 0.8697791818400548 | 0.8015872466872441 | 0.863614027067489 | 0.7789866808940379 | 0.8979112982429841 | 0.953244322524878 | 0.9933140982004488 | 0.9927068139195666 | 0.7659452975264013 | 0.6956521739130435 | 0.9940852127694024 | 0.9961942202333653 | 0.745473150910707 | 0.6069802731411229 | 0.9946001881737787 | 0.9985328023475163 | 0.7326278659611993 | 0.5594405594405595 | 0.992032488770765 | 0.9869484151646986 | 0.8037901077152029 | 0.9195402298850575 | 118.4 | 80 | 5378.4 | 4764 | 29.2 | 7 | 43.2 | 63 |
| 134 | 132 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9861020853770859 | 0.985958485958486 | 0.8666240486378097 | 0.8642099458267103 | 0.849858030097819 | 0.8449994537906926 | 0.839745179226582 | 0.8333587393532897 | 0.8999581727508105 | 0.9018797444197848 | 0.9928596368871592 | 0.9927877077453747 | 0.7403884603884603 | 0.735632183908046 | 0.9942131729877255 | 0.9943467336683417 | 0.7055028872079129 | 0.6956521739130435 | 0.9951179943706547 | 0.9953888073779082 | 0.684372364082509 | 0.6713286713286714 | 0.9906135391117008 | 0.9902001668056714 | 0.8093028063899202 | 0.8135593220338984 | 110.6 | 96 | 5381.2 | 4749 | 26.4 | 22 | 51.0 | 47 |
| 135 | 133 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.987502592738141 | 0.9863654863654864 | 0.8854282307339639 | 0.8514876808093439 | 0.8773793606925523 | 0.8088285616516482 | 0.8722751829447036 | 0.7860844877193651 | 0.9000023096113171 | 0.959589157216592 | 0.9935708218127619 | 0.9930186516619777 | 0.7772856396551658 | 0.70995670995671 | 0.9941881066348348 | 0.9964450020911753 | 0.7605706147502695 | 0.6212121212121212 | 0.9946002086928735 | 0.9987424020121568 | 0.7499501571965341 | 0.5734265734265734 | 0.9925443224900683 | 0.9873601326150021 | 0.8074602967325661 | 0.9318181818181818 | 121.2 | 82 | 5378.4 | 4765 | 29.2 | 6 | 40.4 | 61 |
| 136 | 134 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9859225715062188 | 0.9851444851444852 | 0.8660258352131918 | 0.8594782878477523 | 0.8507682387513645 | 0.8451942742501581 | 0.8414606111094644 | 0.836331243688192 | 0.8956722887676435 | 0.8863273621119268 | 0.9927657793465399 | 0.9923648153958791 | 0.7392858910798437 | 0.7265917602996255 | 0.9939984026737244 | 0.9935494680405462 | 0.7075380748290047 | 0.6968390804597702 | 0.9948221500618857 | 0.9943408090547056 | 0.6880990721570431 | 0.6783216783216783 | 0.9907193587400585 | 0.9903966597077244 | 0.8006252187952285 | 0.782258064516129 | 111.2 | 97 | 5379.6 | 4744 | 28.0 | 27 | 50.4 | 46 |
| 137 | 135 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9869998159212336 | 0.986975986975987 | 0.8821414438566968 | 0.8599124452782989 | 0.8758722932766076 | 0.8187978416363408 | 0.8720201412668638 | 0.7965739982088755 | 0.8939995843442204 | 0.9610201119635082 | 0.9933097025775188 | 0.9933291640608714 | 0.770973185135875 | 0.7264957264957265 | 0.9937729072158323 | 0.9965700422470406 | 0.7579716793373829 | 0.6410256410256411 | 0.9940824572135835 | 0.9987424020121568 | 0.749957825320144 | 0.5944055944055944 | 0.9925406770039771 | 0.9879742898610823 | 0.7954584916844638 | 0.9340659340659341 | 121.2 | 85 | 5375.6 | 4765 | 32.0 | 6 | 40.4 | 58 |
| 138 | 136 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.987071674339839 | 0.9857549857549858 | 0.87287489744713 | 0.8617265886287625 | 0.8508563415683744 | 0.8418550153947284 | 0.837830142425197 | 0.8298622358567863 | 0.9182748922273005 | 0.9009797790285595 | 0.993362305568622 | 0.9926839464882943 | 0.7523874893256378 | 0.7307692307692307 | 0.9951013863676226 | 0.9943050961015033 | 0.7066112967691263 | 0.6894049346879536 | 0.9962645329908743 | 0.9953888073779082 | 0.67939575185952 | 0.6643356643356644 | 0.9904787699400117 | 0.9899937460913071 | 0.8460710145145892 | 0.811965811965812 | 109.8 | 95 | 5387.4 | 4749 | 20.2 | 22 | 51.8 | 48 |
| 139 | 137 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9879335433744055 | 0.9867724867724867 | 0.8828070677295781 | 0.857127840635882 | 0.86249371228425 | 0.8154847231608375 | 0.850280465268723 | 0.7930774947123721 | 0.9233247185472605 | 0.9605514096185739 | 0.9938028076711891 | 0.993225638353309 | 0.7718113277879672 | 0.721030042918455 | 0.995366846262345 | 0.9965283587083821 | 0.729620578306155 | 0.6344410876132931 | 0.9964124756643535 | 0.9987424020121568 | 0.7041484548730925 | 0.5874125874125874 | 0.9912077550456312 | 0.9877694859038143 | 0.8554416820488899 | 0.9333333333333333 | 113.8 | 84 | 5388.2 | 4765 | 19.4 | 6 | 47.8 | 59 |
| 140 | 138 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.986030284986813 | 0.9861619861619861 | 0.864999489799807 | 0.862590447553989 | 0.8465767285373736 | 0.8378562657843442 | 0.8355051655272423 | 0.8232884281930604 | 0.9018169716430904 | 0.9137138387606845 | 0.9928242115485256 | 0.9928974305410486 | 0.7371747680510884 | 0.7322834645669292 | 0.9943097731210202 | 0.9948926194164189 | 0.6988436839537269 | 0.6808199121522694 | 0.9953029466514479 | 0.9962272060364703 | 0.6757073844030366 | 0.6503496503496503 | 0.9903594039471806 | 0.9895898396835311 | 0.813274539339 | 0.8378378378378378 | 109.2 | 93 | 5382.2 | 4753 | 25.4 | 18 | 52.4 | 50 |
| 141 | 139 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9875385703043875 | 0.9863654863654864 | 0.8795444927508523 | 0.8514876808093439 | 0.8604793376266814 | 0.8088285616516482 | 0.8489062883229878 | 0.7860844877193651 | 0.9168565246410129 | 0.959589157216592 | 0.9935991716213314 | 0.9930186516619777 | 0.765489813880373 | 0.70995670995671 | 0.9950858853040969 | 0.9964450020911753 | 0.7258727899492656 | 0.6212121212121212 | 0.9960795807100812 | 0.9987424020121568 | 0.7017329959358946 | 0.5734265734265734 | 0.9911314732724488 | 0.9873601326150021 | 0.8425815760095767 | 0.9318181818181818 | 113.4 | 82 | 5386.4 | 4765 | 21.2 | 6 | 48.2 | 61 |
| 142 | 140 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9863894029948422 | 0.9853479853479854 | 0.8681645891725001 | 0.8556140305056414 | 0.84894501465493 | 0.8329403819090563 | 0.8375018154350808 | 0.819477525199596 | 0.9072542059286869 | 0.9017682525580033 | 0.9930090272404772 | 0.9924780610112829 | 0.7433201511045231 | 0.71875 | 0.994538857821101 | 0.9943479171027841 | 0.7033511714887593 | 0.6715328467153284 | 0.9955618702689808 | 0.9955984070425488 | 0.6794417606011809 | 0.6433566433566433 | 0.9904717289427383 | 0.9893772130806082 | 0.8240366829146357 | 0.8141592920353983 | 109.8 | 92 | 5383.6 | 4750 | 24.0 | 21 | 51.8 | 51 |
| 143 | 141 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9875743995760062 | 0.9865689865689866 | 0.8820286898622063 | 0.8543196878009516 | 0.8662968085055167 | 0.8121616449258658 | 0.8567052316089884 | 0.7895809912158687 | 0.9126500713352511 | 0.9600745182511498 | 0.9936141635024512 | 0.9931221342225928 | 0.7704432162219612 | 0.7155172413793104 | 0.9948259306776286 | 0.9964866786565728 | 0.7377676863334044 | 0.6278366111951589 | 0.9956357526896429 | 0.9987424020121568 | 0.7177747105283336 | 0.5804195804195804 | 0.9916024176344106 | 0.9875647668393782 | 0.8336977250360915 | 0.9325842696629213 | 116.0 | 83 | 5384.0 | 4765 | 23.6 | 6 | 45.6 | 60 |
| 144 | 142 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'} | 0.9861380242577773 | 0.9853479853479854 | 0.8680134673487467 | 0.8567033607931763 | 0.8522859203112434 | 0.8355388633123595 | 0.8427729570504507 | 0.8228692288637793 | 0.899157887064141 | 0.8991384074580755 | 0.9928765019883998 | 0.9924764890282132 | 0.7431504327090935 | 0.7209302325581395 | 0.9941313021925822 | 0.9942218314282125 | 0.7104405384299046 | 0.6768558951965066 | 0.994970038017779 | 0.9953888073779082 | 0.6905758760831225 | 0.6503496503496503 | 0.9907939242450272 | 0.989581162742238 | 0.8075218498832548 | 0.808695652173913 | 111.6 | 93 | 5380.4 | 4749 | 27.2 | 22 | 50.0 | 50 |
| 145 | 143 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'} | 0.9865688910753392 | 0.9871794871794872 | 0.8733382076495773 | 0.8615239070778549 | 0.8597271586941175 | 0.8193657257149385 | 0.8513932966173396 | 0.7966787980411958 | 0.8995939796750065 | 0.9662106135986732 | 0.9930960514758953 | 0.9934340802501302 | 0.7535803638232594 | 0.7296137339055794 | 0.9941750647798248 | 0.9967374937259494 | 0.7252792526084104 | 0.6419939577039275 | 0.9948960940398323 | 0.9989520016767973 | 0.7078904991948469 | 0.5944055944055944 | 0.9913044101873701 | 0.9879767827529021 | 0.8078835491626426 | 0.9444444444444444 | 114.4 | 85 | 5380.0 | 4766 | 27.6 | 5 | 47.2 | 58 |
| 146 | 144 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9833368741362241 | 0.9798534798534798 | 0.8490828057477149 | 0.8135007849293563 | 0.8438197140260622 | 0.805052790346908 | 0.8407470936033814 | 0.7996894114060327 | 0.8597346915865242 | 0.82876254180602 | 0.9914241338234264 | 0.9896389324960754 | 0.7067414776720033 | 0.6373626373626373 | 0.9918423300467263 | 0.9904474610356964 | 0.695797098005398 | 0.6196581196581197 | 0.9921222065304345 | 0.9909872144204569 | 0.6893719806763284 | 0.6083916083916084 | 0.9907314491479579 | 0.9882943143812709 | 0.7287379340250906 | 0.6692307692307692 | 111.4 | 87 | 5365.0 | 4728 | 42.6 | 43 | 50.2 | 56 |
| 147 | 145 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9784168968188546 | 0.9861619861619861 | 0.8378283609446289 | 0.8499051328858289 | 0.8717409439028325 | 0.8082749335304329 | 0.8988104502705438 | 0.7859796878870449 | 0.7942505623743411 | 0.9543529137800547 | 0.9888231901079634 | 0.9929137140475198 | 0.6868335317812944 | 0.7068965517241379 | 0.9855137213237398 | 0.9962775523861307 | 0.757968166481925 | 0.6202723146747352 | 0.9833198500081529 | 0.9985328023475163 | 0.8143010505329344 | 0.5734265734265734 | 0.9943893116651775 | 0.9873575129533678 | 0.5941118130835047 | 0.9213483146067416 | 131.6 | 82 | 5317.4 | 4764 | 90.2 | 7 | 30.0 | 61 |
| 148 | 146 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9834446005120034 | 0.98005698005698 | 0.8492606522346768 | 0.8198680351906158 | 0.8431968548193105 | 0.8159291628424593 | 0.839585804174725 | 0.8133610258950859 | 0.861323648463913 | 0.8266740418275527 | 0.9914810157313898 | 0.9897360703812317 | 0.7070402887379641 | 0.65 | 0.9919760395804866 | 0.9901093835128453 | 0.6944176700581345 | 0.6417489421720733 | 0.9923071040936415 | 0.9903584154265354 | 0.6868645042558086 | 0.6363636363636364 | 0.9906601567461568 | 0.9891145070127695 | 0.7319871401816691 | 0.6642335766423357 | 111.0 | 91 | 5366.0 | 4725 | 41.6 | 46 | 50.6 | 52 |
| 149 | 147 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.978668294898697 | 0.9857549857549858 | 0.8379928092442986 | 0.8454905779707063 | 0.8693545404928894 | 0.8043882221350002 | 0.894138077542587 | 0.7823783845582211 | 0.7971020484733555 | 0.9486313093089597 | 0.9889575173944805 | 0.9927052938724469 | 0.687028101094117 | 0.6982758620689655 | 0.9859012836049791 | 0.9960684261156887 | 0.7528077973807998 | 0.6127080181543116 | 0.9838746521329462 | 0.9983232026828757 | 0.8044015029522276 | 0.5664335664335665 | 0.9940951586988678 | 0.9871502590673575 | 0.6001089382478433 | 0.9101123595505618 | 130.0 | 81 | 5320.4 | 4763 | 87.2 | 8 | 31.6 | 62 |
| 150 | 148 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9826904256152534 | 0.9798534798534798 | 0.8446664641718094 | 0.8186585415403174 | 0.8411021011428517 | 0.8153931974074118 | 0.8391974529469172 | 0.8132562260627656 | 0.8526338276416745 | 0.8242662588303838 | 0.9910887766067361 | 0.9896302503404211 | 0.6982441517368828 | 0.6476868327402135 | 0.9913530441975056 | 0.9899413243922883 | 0.6908511580881976 | 0.6408450704225352 | 0.9915304016380256 | 0.9901488157618947 | 0.6868645042558086 | 0.6363636363636364 | 0.9906530403963826 | 0.9891122278056952 | 0.7146146148869661 | 0.6594202898550725 | 111.0 | 91 | 5361.8 | 4724 | 45.8 | 47 | 50.6 | 52 |
| 151 | 149 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.976298114756186 | 0.9861619861619861 | 0.8277498403019289 | 0.8499051328858289 | 0.8670027947087762 | 0.8082749335304329 | 0.8995272896265354 | 0.7859796878870449 | 0.7796248457858649 | 0.9543529137800547 | 0.9877102013369898 | 0.9929137140475198 | 0.6677894792668677 | 0.7068965517241379 | 0.9836889763607793 | 0.9962775523861307 | 0.7503166130567731 | 0.6202723146747352 | 0.9810268206456019 | 0.9985328023475163 | 0.8180277586074688 | 0.5734265734265734 | 0.9944879750760617 | 0.9873575129533678 | 0.5647617164956681 | 0.9213483146067416 | 132.2 | 82 | 5305.0 | 4764 | 102.6 | 7 | 29.4 | 61 |
| 152 | 150 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9829059234999595 | 0.9802604802604803 | 0.8463402571862657 | 0.8210858086811996 | 0.8425680685773191 | 0.8164663978895599 | 0.8405059887650422 | 0.8134658257274061 | 0.8546390715277378 | 0.8291172161623126 | 0.9912002318815167 | 0.9898418682584564 | 0.7014802824910149 | 0.6523297491039427 | 0.9914864275407108 | 0.9902774285474814 | 0.6936497096139275 | 0.6426553672316384 | 0.9916783374718067 | 0.9905680150911759 | 0.6893336400582778 | 0.6363636363636364 | 0.9907276801185573 | 0.9891167852658016 | 0.7185504629369184 | 0.6691176470588235 | 111.4 | 91 | 5362.6 | 4726 | 45.0 | 45 | 50.2 | 52 |
| 153 | 151 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9775191082463742 | 0.9853479853479854 | 0.8339744133306912 | 0.8397274794567708 | 0.8707854828024117 | 0.7976890655909189 | 0.9007509739747321 | 0.775385377565214 | 0.7878202493281192 | 0.947393612081467 | 0.9883505329250901 | 0.9924984371744113 | 0.6795982937362923 | 0.6869565217391305 | 0.9846792816014844 | 0.9959851114549789 | 0.7568916840033392 | 0.5993930197268589 | 0.9822472895643714 | 0.9983232026828757 | 0.819254658385093 | 0.5524475524475524 | 0.9945321410325489 | 0.9867412471514398 | 0.5811083576236895 | 0.9080459770114943 | 132.4 | 79 | 5311.6 | 4763 | 96.0 | 8 | 29.2 | 64 |
| 154 | 152 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.984701494197328 | 0.9814814814814815 | 0.8565723959466572 | 0.8285714285714285 | 0.8444883121070532 | 0.8197167755991286 | 0.8372314159860288 | 0.8140946247213277 | 0.8806435234218848 | 0.8445652173913043 | 0.9921345468218234 | 0.9904761904761905 | 0.721010245071491 | 0.6666666666666666 | 0.9931245914763928 | 0.9912854030501089 | 0.6958520327377139 | 0.6481481481481481 | 0.993786503469642 | 0.9918256130790191 | 0.6806763285024156 | 0.6363636363636364 | 0.9904919597501521 | 0.9891304347826086 | 0.7707950870936173 | 0.7 | 110.0 | 91 | 5374.0 | 4732 | 33.6 | 39 | 51.6 | 52 |
| 155 | 153 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9851324061480374 | 0.985958485958486 | 0.8674056314184595 | 0.8470544772514138 | 0.8659186476878483 | 0.8049361241017452 | 0.8650361235274717 | 0.7824831843905413 | 0.870324036837582 | 0.953803733564405 | 0.992345076692092 | 0.9928102532041263 | 0.742466186144827 | 0.7012987012987013 | 0.9924553402690943 | 0.9962358845671268 | 0.7393819551066021 | 0.6136363636363636 | 0.9925291138596363 | 0.9985328023475163 | 0.7375431331953072 | 0.5664335664335665 | 0.9921623620819193 | 0.9871529216742644 | 0.7484857115932448 | 0.9204545454545454 | 119.2 | 81 | 5367.2 | 4764 | 40.4 | 7 | 42.4 | 62 |
| 156 | 154 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9849888053674919 | 0.981074481074481 | 0.8582669962390008 | 0.8260415100444412 | 0.844469295622097 | 0.8186281430220246 | 0.8361817935258891 | 0.8138850250566871 | 0.8857521897018203 | 0.8392599140717083 | 0.9922838740288078 | 0.9902648382707003 | 0.7242501184491942 | 0.6618181818181819 | 0.9934061053849403 | 0.9909494678622308 | 0.695532485859254 | 0.6463068181818182 | 0.994156394351832 | 0.991406413749738 | 0.6782071926999463 | 0.6363636363636364 | 0.990421979893793 | 0.9891258887494772 | 0.7810823995098479 | 0.6893939393939394 | 109.6 | 91 | 5376.0 | 4730 | 31.6 | 41 | 52.0 | 52 |
| 157 | 155 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9852760649569156 | 0.9855514855514855 | 0.8668852911912703 | 0.8412798640324161 | 0.8624967973582185 | 0.7982282553760953 | 0.8597401194764771 | 0.7754901773975343 | 0.8749558607356006 | 0.9526743222673937 | 0.9924221923673752 | 0.9926033961871028 | 0.7413483900151652 | 0.6899563318777293 | 0.9927745657122585 | 0.9961525593844095 | 0.7322190290041783 | 0.6003039513677811 | 0.9930098762507071 | 0.9985328023475163 | 0.7264703627022467 | 0.5524475524475524 | 0.9918364784851738 | 0.9867439933719967 | 0.7580752429860274 | 0.9186046511627907 | 117.4 | 79 | 5369.8 | 4764 | 37.8 | 7 | 44.2 | 64 |
| 158 | 156 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9847733332731557 | 0.9814814814814815 | 0.8591736633973621 | 0.8285714285714285 | 0.8496800004910152 | 0.8197167755991286 | 0.8438704453121486 | 0.8140946247213277 | 0.8774467975742392 | 0.8445652173913043 | 0.9921685361525068 | 0.9904761904761905 | 0.7261787906422172 | 0.6666666666666666 | 0.9929388708352747 | 0.9912854030501089 | 0.706421130146756 | 0.6481481481481481 | 0.993453642713861 | 0.9918256130790191 | 0.6942872479104364 | 0.6363636363636364 | 0.9908894850767955 | 0.9891304347826086 | 0.7640041100716826 | 0.7 | 112.2 | 91 | 5372.2 | 4732 | 35.4 | 39 | 49.4 | 52 |
| 159 | 157 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9839472999578005 | 0.9857549857549858 | 0.8628528739451383 | 0.844179493916305 | 0.8704730478959393 | 0.8015872466872441 | 0.8758642259409181 | 0.7789866808940379 | 0.8512260433710201 | 0.953244322524878 | 0.9917237361877611 | 0.9927068139195666 | 0.7339820117025155 | 0.6956521739130435 | 0.9910525148061342 | 0.9961942202333653 | 0.7498935809857443 | 0.6069802731411229 | 0.9906058385853097 | 0.9985328023475163 | 0.7611226132965264 | 0.5594405594405595 | 0.9928456731706948 | 0.9869484151646986 | 0.7096064135713457 | 0.9195402298850575 | 123.0 | 80 | 5356.8 | 4764 | 50.8 | 7 | 38.6 | 63 |
| 160 | 158 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9844142410554966 | 0.9812779812779813 | 0.8549251263434424 | 0.8285175879396984 | 0.8441976829953545 | 0.8217366302472686 | 0.8376784560160452 | 0.8173815285531907 | 0.8758375047627339 | 0.8405310494391176 | 0.9919852911885265 | 0.9903685092127303 | 0.7178649614983582 | 0.6666666666666666 | 0.9928654284251573 | 0.990990990990991 | 0.6955299375655517 | 0.6524822695035462 | 0.9934536837520506 | 0.991406413749738 | 0.6819032282800399 | 0.6433566433566433 | 0.9905243551039193 | 0.9893327755699645 | 0.7611506544215487 | 0.6917293233082706 | 110.2 | 92 | 5372.2 | 4730 | 35.4 | 41 | 51.4 | 51 |
| 161 | 159 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9833368032127063 | 0.9863654863654864 | 0.8574201562540292 | 0.8527317741939091 | 0.8648803153591654 | 0.8116037206067368 | 0.8701377438601472 | 0.7894761913835484 | 0.8459840163163944 | 0.9548922056384743 | 0.9914094525461964 | 0.9930171964564878 | 0.7234308599618621 | 0.7124463519313304 | 0.9907493383094458 | 0.9963192236908148 | 0.739011292408885 | 0.6268882175226587 | 0.9903099942765404 | 0.9985328023475163 | 0.7499654934437543 | 0.5804195804195804 | 0.9925125840126233 | 0.9875621890547264 | 0.6994554486201656 | 0.9222222222222223 | 121.2 | 83 | 5355.2 | 4764 | 52.4 | 7 | 40.4 | 60 |
| 162 | 160 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9853478975851508 | 0.9829059829059829 | 0.8628504214367908 | 0.8400502197112367 | 0.8504756855402011 | 0.8287220850699117 | 0.8429649041048901 | 0.821611630875936 | 0.8870689000111392 | 0.8609192547401181 | 0.9924666611190958 | 0.9912115505335845 | 0.7332341817544862 | 0.6888888888888889 | 0.9934572653168153 | 0.9922081186376775 | 0.7074941057635867 | 0.6652360515021459 | 0.9941193642254234 | 0.9928736114022217 | 0.691810443984357 | 0.6503496503496503 | 0.990822402848783 | 0.9895550449133069 | 0.7833153971734952 | 0.7322834645669292 | 111.8 | 93 | 5375.8 | 4737 | 31.8 | 34 | 49.8 | 50 |
| 163 | 161 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9854197237657937 | 0.9867724867724867 | 0.8733069505004923 | 0.8583142406586364 | 0.8777200804228779 | 0.818231408861414 | 0.8808178142788787 | 0.7964691983765553 | 0.8665149440845938 | 0.9559424197067787 | 0.9924869673840819 | 0.9932242259981237 | 0.754126933616903 | 0.723404255319149 | 0.9921125804433613 | 0.9964025767589726 | 0.7633275804023941 | 0.6400602409638554 | 0.991863371828979 | 0.9985328023475163 | 0.7697722567287786 | 0.5944055944055944 | 0.993112481262116 | 0.9879717959352966 | 0.7399174069070716 | 0.9239130434782609 | 124.4 | 85 | 5363.6 | 4764 | 44.0 | 7 | 37.2 | 58 |
| 164 | 162 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9856352023077223 | 0.9822954822954822 | 0.8652381828788392 | 0.8337392776071597 | 0.852273407368242 | 0.821909784370511 | 0.8443181210737883 | 0.8145138240506088 | 0.8901031011524999 | 0.8556808688387636 | 0.9926150100131089 | 0.9908986295637618 | 0.7378613557445698 | 0.6765799256505576 | 0.993649853439425 | 0.9919571045576407 | 0.7108969612970588 | 0.6518624641833811 | 0.9943413261135301 | 0.9926640117375812 | 0.6942949160340464 | 0.6363636363636364 | 0.9908965501617912 | 0.9891395154553049 | 0.7893096521432087 | 0.7222222222222222 | 112.2 | 91 | 5377.0 | 4736 | 30.6 | 35 | 49.4 | 52 |
| 165 | 163 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9856351184890195 | 0.985958485958486 | 0.8756602178741918 | 0.8470544772514138 | 0.8812629682298396 | 0.8049361241017452 | 0.8851049335235295 | 0.7824831843905413 | 0.8667263405377577 | 0.953803733564405 | 0.9925971779233291 | 0.9928102532041263 | 0.7587232578250542 | 0.7012987012987013 | 0.9921345033086565 | 0.9962358845671268 | 0.7703914331510229 | 0.6136363636363636 | 0.9918263075040791 | 0.9985328023475163 | 0.7783835595429798 | 0.5664335664335665 | 0.9933693197920206 | 0.9871529216742644 | 0.7400833612834947 | 0.9204545454545454 | 125.8 | 81 | 5363.4 | 4764 | 44.2 | 7 | 35.8 | 62 |
| 166 | 164 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.985168357923914 | 0.9820919820919821 | 0.8625644821199849 | 0.833630857114717 | 0.8521940104575828 | 0.8239341235436959 | 0.8458664057756747 | 0.8178007278824717 | 0.8826415822692271 | 0.851259993681806 | 0.9923721100358815 | 0.9907911259941398 | 0.7327568542040883 | 0.6764705882352942 | 0.9931977535856781 | 0.9916628262600025 | 0.7111902673294874 | 0.6562054208273894 | 0.9937495280608196 | 0.9922448124083001 | 0.6979832834905298 | 0.6433566433566433 | 0.9910013936570422 | 0.9893416927899686 | 0.774281770881412 | 0.7131782945736435 | 112.8 | 92 | 5373.8 | 4734 | 33.8 | 37 | 48.8 | 51 |
| 167 | 165 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.985204167852755 | 0.9857549857549858 | 0.8740490258917106 | 0.844179493916305 | 0.8825144727699069 | 0.8015872466872441 | 0.8884834616943079 | 0.7789866808940379 | 0.8610814691224713 | 0.953244322524878 | 0.9923708831936731 | 0.9927068139195666 | 0.7557271685897481 | 0.6956521739130435 | 0.9916442313573001 | 0.9961942202333653 | 0.7733847141825136 | 0.6069802731411229 | 0.991160620191008 | 0.9985328023475163 | 0.7858063031976075 | 0.5594405594405595 | 0.9935852775155791 | 0.9869484151646986 | 0.7285776607293635 | 0.9195402298850575 | 127.0 | 80 | 5359.8 | 4764 | 47.8 | 7 | 34.6 | 63 |
| 168 | 166 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9847374072876495 | 0.9816849816849816 | 0.8592519668669872 | 0.8286252354048964 | 0.8500860044716563 | 0.8176782825713964 | 0.8444507572737926 | 0.8108077208894647 | 0.8767438478209348 | 0.84879488246547 | 0.9921494336972199 | 0.9905838041431262 | 0.7263545000367546 | 0.6666666666666666 | 0.9928869288363342 | 0.9915797411084579 | 0.7072850801069782 | 0.6437768240343348 | 0.9933796987359143 | 0.9922448124083001 | 0.6955218158116708 | 0.6293706293706294 | 0.9909246826142113 | 0.9889283476081053 | 0.7625630130276584 | 0.7086614173228346 | 112.4 | 90 | 5371.8 | 4734 | 35.8 | 37 | 49.2 | 53 |
| 169 | 167 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9850246668770731 | 0.986975986975987 | 0.8733161727274311 | 0.8610706662331604 | 0.8835258917222648 | 0.8215303999383525 | 0.8908091851691134 | 0.7999657018730588 | 0.857950351213898 | 0.9564539548079303 | 0.9922767099154068 | 0.9933277731442869 | 0.7543556355394554 | 0.7288135593220338 | 0.9914066479116584 | 0.9964442585233215 | 0.7756451355328713 | 0.6466165413533834 | 0.99082778679402 | 0.9985328023475163 | 0.7907905835442067 | 0.6013986013986014 | 0.9937315567786241 | 0.9881767268201618 | 0.7221691456491719 | 0.9247311827956989 | 127.8 | 86 | 5358.0 | 4764 | 49.6 | 7 | 33.8 | 57 |
| 170 | 168 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9854915692892142 | 0.9827024827024827 | 0.8610648052166138 | 0.8351784294420911 | 0.84416612906531 | 0.8204170756400867 | 0.8340263413304776 | 0.8113317200510661 | 0.8949249225112699 | 0.863322408932921 | 0.9925454546961564 | 0.9911115758653143 | 0.7295841557370709 | 0.6792452830188679 | 0.9939098845908502 | 0.9924191656893953 | 0.6944223735397697 | 0.6484149855907781 | 0.9948221021839977 | 0.9932928107315029 | 0.6732305804769572 | 0.6293706293706294 | 0.9902817315529342 | 0.9889398998330551 | 0.7995681134696057 | 0.7377049180327869 | 108.8 | 90 | 5379.6 | 4739 | 28.0 | 32 | 52.8 | 53 |
| 171 | 169 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9875385058284623 | 0.985958485958486 | 0.8812802542435316 | 0.8470544772514138 | 0.8652392761249589 | 0.8049361241017452 | 0.855493005993065 | 0.7824831843905413 | 0.9126979545062769 | 0.953803733564405 | 0.9935963312529049 | 0.9928102532041263 | 0.7689641772341582 | 0.7012987012987013 | 0.9948409276246807 | 0.9962358845671268 | 0.7356376246252372 | 0.6136363636363636 | 0.9956727691366549 | 0.9985328023475163 | 0.7153132428494747 | 0.5664335664335665 | 0.9915303991799206 | 0.9871529216742644 | 0.8338655098326331 | 0.9204545454545454 | 115.6 | 81 | 5384.2 | 4764 | 23.4 | 7 | 46.0 | 62 |
| 172 | 170 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9863893578616946 | 0.9839234839234839 | 0.8690396236645995 | 0.8468128932461787 | 0.8511566973708344 | 0.8315381150352711 | 0.8405149259369468 | 0.8221356300375373 | 0.9053825717762389 | 0.8759305126029722 | 0.9930075906580619 | 0.9917389940395274 | 0.7450716566711368 | 0.7018867924528301 | 0.9944274265968683 | 0.9930474116267382 | 0.7078859681448006 | 0.670028818443804 | 0.9953769111484894 | 0.9939216097254244 | 0.6856529407254046 | 0.6503496503496503 | 0.9906528312877345 | 0.9895659432387313 | 0.8201123122647436 | 0.7622950819672131 | 110.8 | 93 | 5382.6 | 4742 | 25.0 | 29 | 50.8 | 50 |
| 173 | 171 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9873589403768553 | 0.9861619861619861 | 0.879678828982968 | 0.8473355263157895 | 0.8638753435140274 | 0.8026785453433078 | 0.8542067987808541 | 0.7791962805586784 | 0.9101982577339797 | 0.96406514562752 | 0.9935039787374921 | 0.9929166666666667 | 0.7658536792284438 | 0.7017543859649122 | 0.9947375175316552 | 0.9965290845983357 | 0.7330131694963997 | 0.60882800608828 | 0.9955618223910928 | 0.9989520016767973 | 0.7128517751706157 | 0.5594405594405595 | 0.9914558241824027 | 0.9869538206668047 | 0.8289406912855567 | 0.9411764705882353 | 115.2 | 80 | 5383.6 | 4766 | 24.0 | 5 | 46.4 | 63 |
| 174 | 172 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9857788675641931 | 0.9822954822954822 | 0.8653642412122606 | 0.8337392776071597 | 0.8507895705141124 | 0.821909784370511 | 0.8419739064747225 | 0.8145138240506088 | 0.894150141676221 | 0.8556808688387636 | 0.9926906545200447 | 0.9908986295637618 | 0.7380378279044766 | 0.6765799256505576 | 0.9938573284147999 | 0.9919571045576407 | 0.7077218126134251 | 0.6518624641833811 | 0.9946371772619976 | 0.9926640117375812 | 0.6893106356874472 | 0.6363636363636364 | 0.9907544151588425 | 0.9891395154553049 | 0.7975458681935994 | 0.7222222222222222 | 111.4 | 91 | 5378.6 | 4736 | 29.0 | 35 | 50.2 | 52 |
| 175 | 173 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9868920895454544 | 0.9855514855514855 | 0.8790768125093245 | 0.8399148032946274 | 0.8705876242126831 | 0.7953952629034529 | 0.8653626071370871 | 0.7720984737333512 | 0.895257130317708 | 0.9575569358178053 | 0.9932578107807839 | 0.9926049369857306 | 0.7648958142378649 | 0.6872246696035242 | 0.9939295167744827 | 0.9962783306849544 | 0.7472457316508836 | 0.5945121951219512 | 0.994378308362051 | 0.9987424020121568 | 0.7363469059121233 | 0.5454545454545454 | 0.9921422343427444 | 0.9865424430641822 | 0.7983720262926715 | 0.9285714285714286 | 119.0 | 78 | 5377.2 | 4765 | 30.4 | 6 | 42.6 | 65 |
| 176 | 174 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9856352216504998 | 0.9833129833129833 | 0.8648439633278506 | 0.842726222444264 | 0.8512921802512612 | 0.8298443923821903 | 0.8431128501982187 | 0.8218212305405765 | 0.8916574225370468 | 0.866779703487158 | 0.9926154548320095 | 0.9914225941422594 | 0.7370724718236918 | 0.6940298507462687 | 0.9936941658142018 | 0.9925438780211955 | 0.7088901946883206 | 0.667144906743185 | 0.9944152564120803 | 0.9932928107315029 | 0.691810443984357 | 0.6503496503496503 | 0.9908253589090457 | 0.9895594069743161 | 0.7924894861650478 | 0.744 | 111.8 | 93 | 5377.4 | 4739 | 30.2 | 32 | 49.8 | 50 |
| 177 | 175 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9872152944631623 | 0.9861619861619861 | 0.8810380788161194 | 0.8499051328858289 | 0.8699808817467984 | 0.8082749335304329 | 0.8631223640241347 | 0.7859796878870449 | 0.9018748538261068 | 0.9543529137800547 | 0.9934257968206118 | 0.9929137140475198 | 0.7686503608116265 | 0.7068965517241379 | 0.994285089121696 | 0.9962775523861307 | 0.7456766743719008 | 0.6202723146747352 | 0.994859098111915 | 0.9985328023475163 | 0.7313856299363547 | 0.5734265734265734 | 0.9919982128280607 | 0.9873575129533678 | 0.8117514948241531 | 0.9213483146067416 | 118.2 | 82 | 5379.8 | 4764 | 27.8 | 7 | 43.4 | 61 |
| 178 | 176 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9864611453567825 | 0.9835164835164835 | 0.8699523417319804 | 0.8417734174221208 | 0.8519452187047003 | 0.8252393428637965 | 0.8411353579249059 | 0.8151426230445304 | 0.9059749876744074 | 0.8737432206925323 | 0.993044270393894 | 0.9915316257187663 | 0.7468604130700671 | 0.6920152091254753 | 0.994464414309026 | 0.9929642348605411 | 0.7094260231003746 | 0.6575144508670521 | 0.9954138797176133 | 0.9939216097254244 | 0.6868568361321985 | 0.6363636363636364 | 0.9906881096344261 | 0.9891531080517313 | 0.8212618657143889 | 0.7583333333333333 | 111.0 | 91 | 5382.8 | 4742 | 24.8 | 29 | 50.6 | 52 |
| 179 | 177 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9875025733953635 | 0.9871794871794872 | 0.8825361470651408 | 0.8638042785364444 | 0.8702251389427538 | 0.8248195484641268 | 0.8626523401423827 | 0.8034622053695624 | 0.9060905850759025 | 0.9569568288161031 | 0.993575403508871 | 0.9934313418830153 | 0.7714968906214109 | 0.7341772151898734 | 0.9945444822030772 | 0.9964859437751004 | 0.7459057956824301 | 0.6531531531531531 | 0.9951919588676962 | 0.9985328023475163 | 0.7301127214170692 | 0.6083916083916084 | 0.9919659418496437 | 0.9883817427385893 | 0.8202152283021611 | 0.925531914893617 | 118.0 | 87 | 5381.6 | 4764 | 26.0 | 7 | 43.6 | 56 |
| 180 | 178 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9863533996382257 | 0.9837199837199837 | 0.8665158446879632 | 0.8465621682383064 | 0.8449142609616143 | 0.8335359137703875 | 0.8320634890203745 | 0.8254225338694003 | 0.9104443418129394 | 0.8708841094174149 | 0.9929926205074378 | 0.9916317991631799 | 0.7400390688684887 | 0.7014925373134329 | 0.9947095380588344 | 0.9927533196498136 | 0.6951189838643943 | 0.6743185078909613 | 0.9958576735395603 | 0.9935024103961434 | 0.6682693045011886 | 0.6573426573426573 | 0.9901450962124443 | 0.9897682188348298 | 0.8307435874134347 | 0.752 | 108.0 | 94 | 5385.2 | 4740 | 22.4 | 31 | 53.6 | 49 |
| 181 | 179 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9875026185285112 | 0.9867724867724867 | 0.884330042257524 | 0.8594806048391886 | 0.8739490439923376 | 0.8209612097036796 | 0.8674733757667736 | 0.7998609020407386 | 0.9036557484611804 | 0.9515339454400988 | 0.9935725700367068 | 0.9932228130539047 | 0.7750875144783408 | 0.7257383966244726 | 0.9943661221679145 | 0.9962767737617135 | 0.7535319658167605 | 0.6456456456456456 | 0.9948961419177202 | 0.9983232026828757 | 0.740050609615827 | 0.6013986013986014 | 0.9922539090044488 | 0.9881742738589212 | 0.8150575879179118 | 0.9148936170212766 | 119.6 | 86 | 5380.0 | 4763 | 27.6 | 8 | 42.0 | 57 |
| 182 | 180 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9861379597818521 | 0.9835164835164835 | 0.866771900309337 | 0.8429347386448162 | 0.8487748575603067 | 0.8278311019035429 | 0.8379558067856019 | 0.8185343267087136 | 0.9026699517361976 | 0.8717278113796217 | 0.9928783776685262 | 0.9915298546481229 | 0.7406654229501483 | 0.6943396226415094 | 0.9943093143291806 | 0.9928379963142905 | 0.703240400791433 | 0.6628242074927954 | 0.9952659575632289 | 0.9937120100607839 | 0.6806456560079749 | 0.6433566433566433 | 0.9905041612576205 | 0.9893572621035058 | 0.8148357422147745 | 0.7540983606557377 | 110.0 | 92 | 5382.0 | 4741 | 25.6 | 30 | 51.6 | 51 |
| 183 | 181 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9868561700075403 | 0.986975986975987 | 0.8796188911045947 | 0.8622094093111696 | 0.8727352610031494 | 0.8242461833970267 | 0.8683380596255166 | 0.8033574055372421 | 0.8919377564270367 | 0.9520844027478949 | 0.9932381160991426 | 0.9933263816475495 | 0.7659996661100468 | 0.7310924369747899 | 0.9937888059886074 | 0.9963184537505753 | 0.7516817160176913 | 0.6521739130434783 | 0.9941563738327371 | 0.9983232026828757 | 0.7425197454182961 | 0.6083916083916084 | 0.9923220597598086 | 0.9883793318115792 | 0.791553453094265 | 0.9157894736842105 | 120.0 | 87 | 5376.0 | 4763 | 31.6 | 8 | 41.6 | 56 |
| 184 | 182 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9855634148126345 | 0.9824989824989825 | 0.8637331011735896 | 0.8326251853541691 | 0.8493780719867259 | 0.8172566220059624 | 0.8406768865214092 | 0.8078352165545626 | 0.8919055092649695 | 0.8621353799359603 | 0.9925793029523307 | 0.9910079464659138 | 0.7348868993948485 | 0.6742424242424242 | 0.993724089672108 | 0.9923776018762827 | 0.7050320543013436 | 0.6421356421356421 | 0.9944892687870096 | 0.9932928107315029 | 0.6868645042558086 | 0.6223776223776224 | 0.9906792343558453 | 0.9887335697892761 | 0.7931317841740936 | 0.7355371900826446 | 111.0 | 89 | 5377.8 | 4739 | 29.8 | 32 | 50.6 | 54 |
| 185 | 183 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9869280155309609 | 0.985958485958486 | 0.8826676504459643 | 0.8470544772514138 | 0.8789456300777816 | 0.8049361241017452 | 0.8767811321344683 | 0.7824831843905413 | 0.890261538812334 | 0.953803733564405 | 0.9932706480038191 | 0.9928102532041263 | 0.7720646528881092 | 0.7012987012987013 | 0.9935353631066063 | 0.9962358845671268 | 0.7643558970489572 | 0.6136363636363636 | 0.9937125594916955 | 0.9985328023475163 | 0.7598497047772412 | 0.5664335664335665 | 0.9928323286968121 | 0.9871529216742644 | 0.7876907489278562 | 0.9204545454545454 | 122.8 | 81 | 5373.6 | 4764 | 34.0 | 7 | 38.8 | 62 |
| 186 | 184 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9869639415164674 | 0.9845339845339846 | 0.8726840371150519 | 0.8487424363927973 | 0.851149342600672 | 0.828051489000142 | 0.838388794706144 | 0.8156666222061317 | 0.9168367617602247 | 0.8902343785390072 | 0.9933057246808102 | 0.9920585161964472 | 0.7520623495492934 | 0.7054263565891473 | 0.9949901004453066 | 0.9938031235606917 | 0.7073085847560374 | 0.6622998544395924 | 0.9961165971570931 | 0.9949696080486271 | 0.6806609922551952 | 0.6363636363636364 | 0.9905126540199793 | 0.9891644092519275 | 0.8431608695004702 | 0.7913043478260869 | 110.0 | 91 | 5386.6 | 4747 | 21.0 | 24 | 51.6 | 52 |
| 187 | 185 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9876103642470679 | 0.9861619861619861 | 0.8788810270598635 | 0.8499051328858289 | 0.8571088017964599 | 0.8082749335304329 | 0.8441222794051564 | 0.7859796878870449 | 0.9229738792894443 | 0.9543529137800547 | 0.9936379645982708 | 0.9929137140475198 | 0.7641240895214564 | 0.7068965517241379 | 0.9953228213453992 | 0.9962775523861307 | 0.7188947822475205 | 0.6202723146747352 | 0.9964494510731761 | 0.9985328023475163 | 0.6917951077371367 | 0.5734265734265734 | 0.9908433514173332 | 0.9873575129533678 | 0.8551044071615552 | 0.9213483146067416 | 111.8 | 82 | 5388.4 | 4764 | 19.2 | 7 | 49.8 | 61 |
| 188 | 186 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9861379726770372 | 0.9841269841269841 | 0.8655409029545755 | 0.8459239130434782 | 0.8456436922034275 | 0.8269224843623216 | 0.8337565922973423 | 0.8154570225414912 | 0.9057043723562375 | 0.8834688346883469 | 0.992880278067109 | 0.9918478260869565 | 0.7382015278420421 | 0.7 | 0.9944651338532046 | 0.9934676102340773 | 0.6968222505536504 | 0.660377358490566 | 0.995524840142572 | 0.9945504087193461 | 0.6719883444521126 | 0.6363636363636364 | 0.990251316203827 | 0.989159891598916 | 0.8211574285086479 | 0.7777777777777778 | 108.6 | 91 | 5383.4 | 4745 | 24.2 | 26 | 53.0 | 52 |
| 189 | 187 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9876103255615127 | 0.9867724867724867 | 0.8791891827878047 | 0.8559208843672739 | 0.8579827803715039 | 0.8127209992015513 | 0.8453160241563669 | 0.7896857910481889 | 0.9220405870309436 | 0.965374580868779 | 0.9936374673126374 | 0.9932270501198291 | 0.7647408982629722 | 0.7186147186147186 | 0.995278311289981 | 0.9966541196152238 | 0.7206872494530266 | 0.6287878787878788 | 0.996375472896738 | 0.9989520016767973 | 0.6942565754159957 | 0.5804195804195804 | 0.9909157071099024 | 0.9875673435557397 | 0.8531654669519847 | 0.9431818181818182 | 112.2 | 83 | 5388.0 | 4766 | 19.6 | 5 | 49.4 | 60 |
| 190 | 188 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9860302656440355 | 0.9827024827024827 | 0.8649460777272889 | 0.8351784294420911 | 0.8461713033990161 | 0.8204170756400867 | 0.834914033984797 | 0.8113317200510661 | 0.9026337700286632 | 0.863322408932921 | 0.9928242792239658 | 0.9911115758653143 | 0.7370678762306121 | 0.6792452830188679 | 0.9943319241497942 | 0.9924191656893953 | 0.6980106826482381 | 0.6484149855907781 | 0.995339915220572 | 0.9932928107315029 | 0.6744881527490223 | 0.6293706293706294 | 0.9903230433373681 | 0.9889398998330551 | 0.8149444967199582 | 0.7377049180327869 | 109.0 | 90 | 5382.4 | 4739 | 25.2 | 32 | 52.6 | 53 |
| 191 | 189 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9869280219785533 | 0.9865689865689866 | 0.8763001326976253 | 0.8555347091932457 | 0.8613527103869986 | 0.814922530688772 | 0.8521808415878034 | 0.7929726948800518 | 0.9050037909455038 | 0.955421936554012 | 0.9932814075310376 | 0.9931207004377736 | 0.7593188578642132 | 0.717948717948718 | 0.9944488685799555 | 0.9963608984816162 | 0.7282565521940416 | 0.6334841628959276 | 0.995228947955915 | 0.9985328023475163 | 0.7091327352196918 | 0.5874125874125874 | 0.9913426930080359 | 0.9877669500311009 | 0.8186648888829717 | 0.9230769230769231 | 114.6 | 84 | 5381.8 | 4764 | 25.8 | 7 | 47.0 | 59 |
| 192 | 190 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'} | 0.9858866132827497 | 0.9835164835164835 | 0.8650030578546822 | 0.8452055343239073 | 0.8484471242242065 | 0.8329689456470806 | 0.838432819606199 | 0.8253177340370801 | 0.8976549194888044 | 0.8678989139515456 | 0.9927482957618589 | 0.9915263102835025 | 0.7372578199475056 | 0.6988847583643123 | 0.9940799505450167 | 0.9925854557640751 | 0.7028142979033961 | 0.673352435530086 | 0.9949700790559686 | 0.9932928107315029 | 0.6818955601564297 | 0.6573426573426573 | 0.9905382524089305 | 0.9897660818713451 | 0.8047715865686783 | 0.746031746031746 | 110.2 | 94 | 5380.4 | 4739 | 27.2 | 32 | 51.4 | 49 |
| 193 | 191 | CatBoostClassifier | {'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'} | 0.9867124918558847 | 0.9863654863654864 | 0.8763060935692055 | 0.8502218435235476 | 0.8645769967271869 | 0.8060361396040803 | 0.8574628643412587 | 0.7826927840551818 | 0.8992122472214948 | 0.9645093543477004 | 0.9931670881582635 | 0.9930201062610688 | 0.7594450989801474 | 0.7074235807860262 | 0.994070409898111 | 0.9965707594513216 | 0.7350835835562627 | 0.6155015197568389 | 0.9946742142281044 | 0.9989520016767973 | 0.7202515144544129 | 0.5664335664335665 | 0.9916678816816621 | 0.9871582435791217 | 0.8067566127613276 | 0.9418604651162791 | 116.4 | 81 | 5378.8 | 4766 | 28.8 | 5 | 45.2 | 62 |