10226859 1 Jan van Rijn 9979 Supervised Classification 9666 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4) 8152291 copy true 9559 fill_value -1 9559 missing_values NaN 9559 strategy "constant" 9559 verbose 0 9559 n_jobs null 9606 remainder "passthrough" 9606 sparse_threshold 0.3 9606 transformer_weights null 9606 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] 9606 memory null 9607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 9607 axis 0 9608 copy true 9608 missing_values "NaN" 9608 strategy "mean" 9608 verbose 0 9608 copy true 9609 with_mean true 9609 with_std true 9609 memory null 9610 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 9610 categorical_features null 9611 categories null 9611 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 9611 handle_unknown "ignore" 9611 n_values null 9611 sparse true 9611 threshold 0.0 9612 memory null 9666 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 9666 criterion "friedman_mse" 9667 init null 9667 learning_rate 5.575297539024844e-05 9667 loss "deviance" 9667 max_depth 12 9667 max_features 0.5737272286966839 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.11923990277544161 9667 min_impurity_split null 9667 min_samples_leaf 7 9667 min_samples_split 4 9667 min_weight_fraction_leaf 0.04869830453377266 9667 n_estimators 1536 9667 n_iter_no_change 495 9667 presort "auto" 9667 random_state 7884 9667 subsample 0.9665491142259344 9667 tol 0.07401657732727954 9667 validation_fraction 0.7692123397159347 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1466 cardiotocography https://www.openml.org/data/download/1586231/php9HX2u8 -1 21374634 description https://api.openml.org/data/download/21374634/description.xml -1 21374635 predictions https://api.openml.org/data/download/21374635/predictions.arff area_under_roc_curve 0.5537797698659295 [1,0.224747,0.698341,0.740922,0.919689,0.29619,0.445963,0.838414,0.697815,0.768455] average_cost 0 f_measure 0.18342795316003319 [1,0,0.112601,0,0,0,0,0,0,0] kappa 0.11419814736976258 kb_relative_information_score 100.03338200992187 mean_absolute_error 0.17857641944735134 mean_prior_absolute_error 0.16793207690762982 number_of_instances 2126 [384,579,53,81,72,332,252,107,69,197] precision 0.18213175974229595 [1,0,0.060606,0,0,0,0,0,0,0] predictive_accuracy 0.20037629350893696 prior_entropy 2.917360991598818 recall 0.20037629350893696 [1,0,0.792453,0,0,0,0,0,0,0] relative_absolute_error 1.0633848085233673 root_mean_prior_squared_error 0.2897201918578885 root_mean_squared_error 0.29871932795870504 root_relative_squared_error 1.0310614736346395 total_cost 0 area_under_roc_curve 0.537618224691398 [1,0.159622,0.696154,0.716463,0.956311,0.29116,0.467234,0.850585,0.721221,0.768135] area_under_roc_curve 0.535780473050253 [1,0.185317,0.695192,0.742683,0.914008,0.263556,0.508723,0.840684,0.705964,0.684456] area_under_roc_curve 0.5493130106519686 [1,0.190768,0.691346,0.771341,0.941054,0.237542,0.455745,0.845185,0.751734,0.846632] area_under_roc_curve 0.5430672974898537 [1,0.171858,0.689423,0.770122,0.886269,0.278114,0.468298,0.849235,0.706657,0.78601] area_under_roc_curve 0.5589922429226442 [1,0.200667,0.699038,0.732927,0.897365,0.334848,0.524255,0.845185,0.678225,0.729275] area_under_roc_curve 0.5763978569399776 [1,0.236617,0.716346,0.767073,0.939667,0.338215,0.461127,0.834833,0.663662,0.850518] area_under_roc_curve 0.5565063132653352 [1,0.223578,0.711165,0.720307,0.90662,0.323514,0.476013,0.836634,0.757282,0.734388] area_under_roc_curve 0.5651122149850928 [1,0.251903,0.683657,0.803309,0.918505,0.386829,0.40107,0.823762,0.625784,0.731933] area_under_roc_curve 0.5608706263539125 [1,0.31292,0.695793,0.644608,0.911765,0.292026,0.353155,0.830693,0.668293,0.772566] area_under_roc_curve 0.5529010054992898 [1,0.277877,0.699517,0.751838,0.898258,0.241747,0.376043,0.820443,0.728223,0.789844] 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 0.18563634056591802 [1,0,0.108108,0,0,0,0,0,0,0] f_measure 0.18226415094339624 [1,0,0.106667,0,0,0,0,0,0,0] f_measure 0.18226415094339624 [1,0,0.106667,0,0,0,0,0,0,0] kappa 0.1120239894680384 kappa 0.11206728425158459 kappa 0.11078831083225506 kappa 0.11087513731233979 kappa 0.1154485049833887 kappa 0.11905927267387795 kappa 0.12078797304302749 kappa 0.11159316685976287 kappa 0.11216219545241791 kappa 0.1172977900416369 kb_relative_information_score 9.873876265760588 kb_relative_information_score 9.668646167960866 kb_relative_information_score 9.983276217150454 kb_relative_information_score 9.633331923791197 kb_relative_information_score 9.736819359500403 kb_relative_information_score 9.845834698375631 kb_relative_information_score 10.210357723846375 kb_relative_information_score 10.675115816934742 kb_relative_information_score 10.611477181401078 kb_relative_information_score 9.794646655200598 mean_absolute_error 0.17858373556616183 mean_absolute_error 0.17868047838923168 mean_absolute_error 0.17850946582141644 mean_absolute_error 0.17866996249173184 mean_absolute_error 0.17852533661172268 mean_absolute_error 0.17854478658045128 mean_absolute_error 0.1785378577308396 mean_absolute_error 0.1785758433094874 mean_absolute_error 0.17857389535351828 mean_absolute_error 0.17856257201151687 mean_prior_absolute_error 0.16791334775192993 mean_prior_absolute_error 0.16791334775192993 mean_prior_absolute_error 0.16789048900142436 mean_prior_absolute_error 0.16789048900142436 mean_prior_absolute_error 0.16789048900142436 mean_prior_absolute_error 0.16803423537479567 mean_prior_absolute_error 0.1679033283866866 mean_prior_absolute_error 0.16798812804748792 mean_prior_absolute_error 0.16798812804748792 mean_prior_absolute_error 0.1679090700303867 number_of_instances 213 [38,58,5,8,7,34,25,11,7,20] number_of_instances 213 [38,58,5,8,7,34,25,11,7,20] number_of_instances 213 [39,58,5,8,7,33,25,11,7,20] number_of_instances 213 [39,58,5,8,7,33,25,11,7,20] number_of_instances 213 [39,58,5,8,7,33,25,11,7,20] number_of_instances 213 [39,57,5,8,7,33,26,11,7,20] number_of_instances 212 [38,58,6,9,7,33,26,10,6,19] number_of_instances 212 [38,58,6,8,8,33,25,10,7,19] number_of_instances 212 [38,58,6,8,8,33,25,10,7,19] number_of_instances 212 [38,58,5,8,7,33,25,11,7,20] precision 0.18445941348574538 [1,0,0.057971,0,0,0,0,0,0,0] precision 0.1808859721082855 [1,0,0.057971,0,0,0,0,0,0,0] precision 0.1808859721082855 [1,0,0.057971,0,0,0,0,0,0,0] predictive_accuracy 0.19718309859154928 predictive_accuracy 0.19718309859154928 predictive_accuracy 0.19718309859154928 predictive_accuracy 0.19718309859154928 predictive_accuracy 0.20187793427230047 predictive_accuracy 0.20657276995305163 predictive_accuracy 0.20754716981132076 predictive_accuracy 0.1981132075471698 predictive_accuracy 0.1981132075471698 predictive_accuracy 0.2028301886792453 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 prior_entropy 2.917360991598818 recall 0.19718309859154928 [1,0,0.8,0,0,0,0,0,0,0] recall 0.19718309859154928 [1,0,0.8,0,0,0,0,0,0,0] recall 0.19718309859154928 [1,0,0.6,0,0,0,0,0,0,0] recall 0.19718309859154928 [1,0,0.6,0,0,0,0,0,0,0] recall 0.20187793427230047 [1,0,0.8,0,0,0,0,0,0,0] recall 0.20657276995305165 [1,0,1,0,0,0,0,0,0,0] recall 0.20754716981132076 [1,0,1,0,0,0,0,0,0,0] recall 0.19811320754716982 [1,0,0.666667,0,0,0,0,0,0,0] recall 0.19811320754716982 [1,0,0.666667,0,0,0,0,0,0,0] recall 0.2028301886792453 [1,0,1,0,0,0,0,0,0,0] relative_absolute_error 1.0635469899033638 relative_absolute_error 1.0641231372100852 relative_absolute_error 1.0632494245692619 relative_absolute_error 1.0642053850365283 relative_absolute_error 1.0633439551790695 relative_absolute_error 1.0625500582200533 relative_absolute_error 1.063337215803497 relative_absolute_error 1.0630265685144515 relative_absolute_error 1.0630149727190121 relative_absolute_error 1.0634480435107063 root_mean_prior_squared_error 0.2896878672200002 root_mean_prior_squared_error 0.2896878672200002 root_mean_prior_squared_error 0.28964841042886275 root_mean_prior_squared_error 0.28964841042886275 root_mean_prior_squared_error 0.28964841042886275 root_mean_prior_squared_error 0.28989644364382644 root_mean_prior_squared_error 0.28967057332291984 root_mean_prior_squared_error 0.289816908944303 root_mean_prior_squared_error 0.289816908944303 root_mean_prior_squared_error 0.28968048379711253 root_mean_squared_error 0.2987349582215277 root_mean_squared_error 0.2988870157325503 root_mean_squared_error 0.2986000419126921 root_mean_squared_error 0.29886558920457207 root_mean_squared_error 0.29863754031635825 root_mean_squared_error 0.29866041396371706 root_mean_squared_error 0.29866568696930323 root_mean_squared_error 0.29870446446016535 root_mean_squared_error 0.29872679798921764 root_mean_squared_error 0.2987103124489686 root_relative_squared_error 1.031230479510061 root_relative_squared_error 1.0317553807165971 root_relative_squared_error 1.0309051635069404 root_relative_squared_error 1.0318219553218402 root_relative_squared_error 1.031034625303781 root_relative_squared_error 1.0302313826611071 root_relative_squared_error 1.0310529079402062 root_relative_squared_error 1.0306661041560221 root_relative_squared_error 1.0307431649773995 root_relative_squared_error 1.0311716845176924 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 usercpu_time_millis 15125.091916997917 usercpu_time_millis 15235.639801998332 usercpu_time_millis 15238.077907000843 usercpu_time_millis 14998.366729989357 usercpu_time_millis 15106.255614002293 usercpu_time_millis 15064.304781997635 usercpu_time_millis 15028.336622002826 usercpu_time_millis 14988.306610997824 usercpu_time_millis 14904.389532006462 usercpu_time_millis 14876.600887997483 usercpu_time_millis_testing 28.15536699927179 usercpu_time_millis_testing 29.657320999831427 usercpu_time_millis_testing 29.203493999375496 usercpu_time_millis_testing 28.585871994437184 usercpu_time_millis_testing 28.82704600051511 usercpu_time_millis_testing 30.164595002133865 usercpu_time_millis_testing 27.373764001822565 usercpu_time_millis_testing 26.99397499964107 usercpu_time_millis_testing 27.140921003592666 usercpu_time_millis_testing 28.08843399543548 usercpu_time_millis_training 15096.936549998645 usercpu_time_millis_training 15205.9824809985 usercpu_time_millis_training 15208.874413001467 usercpu_time_millis_training 14969.78085799492 usercpu_time_millis_training 15077.428568001778 usercpu_time_millis_training 15034.1401869955 usercpu_time_millis_training 15000.962858001003 usercpu_time_millis_training 14961.312635998183 usercpu_time_millis_training 14877.24861100287 usercpu_time_millis_training 14848.512454002048