10591150 32117 VAIBHAV JAISWAL 146065 Supervised Classification precision 19174 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8304422 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19174 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19174 verbose false 19174 categorical_features null 19175 early_stopping "auto" 19175 l2_regularization 0.0 19175 learning_rate 0.1 19175 loss "auto" 19175 max_bins 255 19175 max_depth null 19175 max_iter 100 19175 max_leaf_nodes 31 19175 min_samples_leaf 20 19175 monotonic_cst null 19175 n_iter_no_change 10 19175 random_state 9324 19175 scoring "loss" 19175 tol 1e-07 19175 validation_fraction 0.1 19175 verbose 0 19175 warm_start false 19175 openml-python Sklearn_1.0.2. 334 monks-problems-2 https://www.openml.org/data/download/52237/php4fATLZ -1 22109896 description https://api.openml.org/data/download/22109896/description.xml -1 22109897 predictions https://api.openml.org/data/download/22109897/predictions.arff area_under_roc_curve 0.9894064151407154 [0.989406,0.989406] average_cost 0 f_measure 0.9393112763685618 [0.955556,0.908163] kappa 0.8638902868646201 kb_relative_information_score 0.6977700170072682 mean_absolute_error 0.15501241571938792 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.940099833610649 [0.979747,0.864078] number_of_instances 601 [395,206] precision 0.9409137812588986 [0.93253,0.956989] predictive_accuracy 0.940099833610649 prior_entropy 0.9274381882789376 relative_absolute_error 0.3439244555497594 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.22583840181286938 root_relative_squared_error 0.47581687856398674 total_cost 0 unweighted_recall 0.9219122526729753 [0.979747,0.864078] area_under_roc_curve 0.9916666666666668 [0.991667,0.991667] area_under_roc_curve 0.9925 [0.9925,0.9925] area_under_roc_curve 0.9925 [0.9925,0.9925] area_under_roc_curve 0.9787499999999999 [0.97875,0.97875] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9938949938949939 [0.993895,0.993895] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9938949938949939 [0.993895,0.993895] area_under_roc_curve 0.9951159951159951 [0.995116,0.995116] area_under_roc_curve 0.9474969474969475 [0.947497,0.947497] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.9335865653738505 [0.95122,0.9] f_measure 0.9312169312169313 [0.952381,0.888889] f_measure 0.9340659340659342 [0.948718,0.904762] f_measure 0.9323919554985025 [0.95122,0.894737] f_measure 0.9661959777492513 [0.97561,0.947368] f_measure 0.9314505776636715 [0.95122,0.894737] f_measure 0.949002849002849 [0.962963,0.923077] f_measure 0.9834189066747204 [0.987013,0.976744] f_measure 0.9325 [0.95,0.9] f_measure 0.8971758664955072 [0.926829,0.842105] kappa 0.851400730816078 kappa 0.8421052631578948 kappa 0.853658536585366 kappa 0.8461538461538461 kappa 0.9230769230769231 kappa 0.8467432950191571 kappa 0.8863636363636362 kappa 0.9637681159420288 kappa 0.850187265917603 kappa 0.7701149425287357 kb_relative_information_score 0.7060846271998257 kb_relative_information_score 0.6826323974598396 kb_relative_information_score 0.717770824476316 kb_relative_information_score 0.6617225387078319 kb_relative_information_score 0.7549068406764801 kb_relative_information_score 0.6184382657158047 kb_relative_information_score 0.7641649323607544 kb_relative_information_score 0.7691380727696513 kb_relative_information_score 0.7397350243755048 kb_relative_information_score 0.5634499671953258 mean_absolute_error 0.15071939011760038 mean_absolute_error 0.16152785716443616 mean_absolute_error 0.14218771751949158 mean_absolute_error 0.16520304390880222 mean_absolute_error 0.13377043725346713 mean_absolute_error 0.19556576707163725 mean_absolute_error 0.12755826468676906 mean_absolute_error 0.12386069689716252 mean_absolute_error 0.13467573708851516 mean_absolute_error 0.21512679591269462 mean_prior_absolute_error 0.4511866895033036 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 number_of_instances 61 [40,21] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] precision 0.9350425243436461 [0.928571,0.947368] precision 0.9393939393939393 [0.909091,1] precision 0.9370015948963317 [0.973684,0.863636] precision 0.933862433862434 [0.928571,0.944444] precision 0.9682539682539683 [0.952381,1] precision 0.9395348837209302 [0.906977,1] precision 0.9535714285714286 [0.928571,1] precision 0.9840909090909091 [1,0.954545] precision 0.9340179717586651 [0.926829,0.947368] precision 0.9038303693570452 [0.883721,0.941176] predictive_accuracy 0.9344262295081966 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9666666666666667 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.95 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9 prior_entropy 0.9288422097579495 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 relative_absolute_error 0.3340510560795185 relative_absolute_error 0.36074554766724043 relative_absolute_error 0.3175525691268642 relative_absolute_error 0.36895346472965795 relative_absolute_error 0.29875397653274294 relative_absolute_error 0.4317267345568265 relative_absolute_error 0.2815948512030813 relative_absolute_error 0.2734321809591394 relative_absolute_error 0.297307228498534 relative_absolute_error 0.47490923644647537 root_mean_prior_squared_error 0.4751281144554437 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_squared_error 0.22068046183670045 root_mean_squared_error 0.22850852364875576 root_mean_squared_error 0.22304308220102867 root_mean_squared_error 0.24697360330129203 root_mean_squared_error 0.18360295987724118 root_mean_squared_error 0.25895795227729473 root_mean_squared_error 0.18721343340456498 root_mean_squared_error 0.18977922117841936 root_mean_squared_error 0.20512601215276616 root_mean_squared_error 0.290683784446829 root_relative_squared_error 0.4644651729136844 root_relative_squared_error 0.48463183205057303 root_relative_squared_error 0.4730404618054591 root_relative_squared_error 0.5237934582257249 root_relative_squared_error 0.38939395955306966 root_relative_squared_error 0.5428695701476323 root_relative_squared_error 0.39246709832401494 root_relative_squared_error 0.3978459179108753 root_relative_squared_error 0.4300183449250801 root_relative_squared_error 0.6093783941516484 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.9160714285714285 [0.975,0.857143] unweighted_recall 0.9 [1,0.8] unweighted_recall 0.9375 [0.925,0.95] unweighted_recall 0.9125 [0.975,0.85] unweighted_recall 0.95 [1,0.9] unweighted_recall 0.9047619047619048 [1,0.809524] unweighted_recall 0.9285714285714286 [1,0.857143] unweighted_recall 0.9871794871794872 [0.974359,1] unweighted_recall 0.9157509157509157 [0.974359,0.857143] unweighted_recall 0.8681318681318682 [0.974359,0.761905] usercpu_time_millis 1593.75 usercpu_time_millis 1812.5 usercpu_time_millis 2406.25 usercpu_time_millis 1625 usercpu_time_millis 2046.875 usercpu_time_millis 2328.125 usercpu_time_millis 1734.375 usercpu_time_millis 2015.625 usercpu_time_millis 2359.375 usercpu_time_millis 1671.875 usercpu_time_millis_testing 0 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 0 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_training 1593.75 usercpu_time_millis_training 1750 usercpu_time_millis_training 2343.75 usercpu_time_millis_training 1578.125 usercpu_time_millis_training 2046.875 usercpu_time_millis_training 2281.25 usercpu_time_millis_training 1687.5 usercpu_time_millis_training 1953.125 usercpu_time_millis_training 2312.5 usercpu_time_millis_training 1625 wall_clock_time_millis 632.6382160186768 wall_clock_time_millis 702.5947570800781 wall_clock_time_millis 645.6301212310791 wall_clock_time_millis 629.6393871307373 wall_clock_time_millis 649.6264934539795 wall_clock_time_millis 642.6324844360352 wall_clock_time_millis 639.6322250366211 wall_clock_time_millis 633.6369514465332 wall_clock_time_millis 647.6290225982666 wall_clock_time_millis 629.638671875 wall_clock_time_millis_testing 10.993242263793945 wall_clock_time_millis_testing 11.991500854492188 wall_clock_time_millis_testing 10.99395751953125 wall_clock_time_millis_testing 9.994983673095703 wall_clock_time_millis_testing 9.993553161621094 wall_clock_time_millis_testing 10.993719100952148 wall_clock_time_millis_testing 11.992931365966797 wall_clock_time_millis_testing 11.993646621704102 wall_clock_time_millis_testing 10.993242263793945 wall_clock_time_millis_testing 9.994983673095703 wall_clock_time_millis_training 621.6449737548828 wall_clock_time_millis_training 690.6032562255859 wall_clock_time_millis_training 634.6361637115479 wall_clock_time_millis_training 619.6444034576416 wall_clock_time_millis_training 639.6329402923584 wall_clock_time_millis_training 631.638765335083 wall_clock_time_millis_training 627.6392936706543 wall_clock_time_millis_training 621.6433048248291 wall_clock_time_millis_training 636.6357803344727 wall_clock_time_millis_training 619.6436882019043 weighted_recall 0.9344262295081968 [0.975,0.857143] weighted_recall 0.9333333333333333 [1,0.8] weighted_recall 0.9333333333333333 [0.925,0.95] weighted_recall 0.9333333333333333 [0.975,0.85] weighted_recall 0.9666666666666667 [1,0.9] weighted_recall 0.9333333333333333 [1,0.809524] weighted_recall 0.95 [1,0.857143] weighted_recall 0.9833333333333333 [0.974359,1] weighted_recall 0.9333333333333333 [0.974359,0.857143] weighted_recall 0.9 [0.974359,0.761905]