10444783 8323 Heinrich Peters 125920 Supervised Classification 17651 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 8263530 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, false, true, false, false, false, false, false, false, false, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, true, false, true, true, true, true, true, true, true, true, true]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 bootstrap true 17650 class_weight null 17650 criterion "entropy" 17650 max_depth null 17650 max_features 0.5778510197529033 17650 max_leaf_nodes null 17650 min_impurity_decrease 0 17650 min_impurity_split null 17650 min_samples_leaf 1 17650 min_samples_split 6 17650 min_weight_fraction_leaf 0.0 17650 n_estimators 300 17650 n_jobs 1 17650 oob_score false 17650 random_state 1 17650 verbose 0 17650 warm_start false 17650 memory null 17651 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}] 17651 verbose false 17651 openml-python Sklearn_0.21.2. 23381 dresses-sales https://www.openml.org/data/download/1910507/phpcFPMhq -1 21813995 description https://api.openml.org/data/download/21813995/description.xml -1 21813996 predictions https://api.openml.org/data/download/21813996/predictions.arff area_under_roc_curve 0.6109852216748769 [0.610985,0.610985] average_cost 0 f_measure 0.6069288353060163 [0.687196,0.496084] kappa 0.1879838438236284 kb_relative_information_score 0.08379356520255074 mean_absolute_error 0.4498783570133572 mean_prior_absolute_error 0.4872509960159361 weighted_recall 0.614 [0.731034,0.452381] number_of_instances 500 [290,210] precision 0.6066603029820933 [0.648318,0.549133] predictive_accuracy 0.614 prior_entropy 0.9814541958069474 relative_absolute_error 0.9232989992669886 root_mean_prior_squared_error 0.4935586100816085 root_mean_squared_error 0.4923539414366272 root_relative_squared_error 0.9975592186614227 total_cost 0 unweighted_recall 0.5917077175697866 [0.731034,0.452381] area_under_roc_curve 0.555008210180624 [0.555008,0.555008] area_under_roc_curve 0.6765188834154351 [0.676519,0.676519] area_under_roc_curve 0.5862068965517241 [0.586207,0.586207] area_under_roc_curve 0.4433497536945813 [0.44335,0.44335] area_under_roc_curve 0.5796387520525451 [0.579639,0.579639] area_under_roc_curve 0.6420361247947455 [0.642036,0.642036] area_under_roc_curve 0.6617405582922824 [0.661741,0.661741] area_under_roc_curve 0.735632183908046 [0.735632,0.735632] area_under_roc_curve 0.541871921182266 [0.541872,0.541872] area_under_roc_curve 0.7060755336617406 [0.706076,0.706076] 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 0.6185861926415874 [0.677966,0.536585] f_measure 0.6147288776796974 [0.688525,0.512821] f_measure 0.6024615384615384 [0.707692,0.457143] f_measure 0.5187692307692308 [0.646154,0.342857] f_measure 0.5854166666666667 [0.6875,0.444444] f_measure 0.5937042062415196 [0.716418,0.424242] f_measure 0.6552837326607819 [0.721311,0.564103] f_measure 0.68 [0.724138,0.619048] f_measure 0.541313749490004 [0.596491,0.465116] f_measure 0.637 [0.7,0.55] kappa 0.21487603305785122 kappa 0.20435510887772199 kappa 0.18244406196213422 kappa 0.010327022375215203 kappa 0.1452991452991452 kappa 0.1710296684118674 kappa 0.2881072026800671 kappa 0.3431855500821019 kappa 0.061990212071778114 kappa 0.25124792013311154 kb_relative_information_score 0.02946881799217627 kb_relative_information_score 0.13178504437675134 kb_relative_information_score 0.061875942521434614 kb_relative_information_score -0.016286859718360188 kb_relative_information_score 0.06628684889099684 kb_relative_information_score 0.11112513134423274 kb_relative_information_score 0.12412344630349645 kb_relative_information_score 0.196446449374954 kb_relative_information_score -0.0016058454505512825 kb_relative_information_score 0.1347166763903747 mean_absolute_error 0.4754876355126354 mean_absolute_error 0.4277988948088949 mean_absolute_error 0.4600900732600733 mean_absolute_error 0.492060636955637 mean_absolute_error 0.456597658082658 mean_absolute_error 0.43740111721611724 mean_absolute_error 0.4323655344655344 mean_absolute_error 0.4011230007030009 mean_absolute_error 0.4859906515706517 mean_absolute_error 0.42986836755836755 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 mean_prior_absolute_error 0.48725099601593624 number_of_instances 50 [29,21] number_of_instances 50 [29,21] number_of_instances 50 [29,21] number_of_instances 50 [29,21] number_of_instances 50 [29,21] number_of_instances 50 [29,21] number_of_instances 50 [29,21] number_of_instances 50 [29,21] number_of_instances 50 [29,21] number_of_instances 50 [29,21] precision 0.6176666666666667 [0.666667,0.55] precision 0.6139583333333334 [0.65625,0.555556] precision 0.6105555555555555 [0.638889,0.571429] precision 0.5183333333333333 [0.583333,0.428571] precision 0.5885714285714285 [0.628571,0.533333] precision 0.6113157894736841 [0.631579,0.583333] precision 0.6554166666666668 [0.6875,0.611111] precision 0.68 [0.724138,0.619048] precision 0.543051948051948 [0.607143,0.454545] precision 0.6360611205432938 [0.677419,0.578947] predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.54 predictive_accuracy 0.6 predictive_accuracy 0.62 predictive_accuracy 0.66 predictive_accuracy 0.68 predictive_accuracy 0.54 predictive_accuracy 0.64 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 prior_entropy 0.9814541958069504 relative_absolute_error 0.9758576983946974 relative_absolute_error 0.8779846491989585 relative_absolute_error 0.9442568142949992 relative_absolute_error 1.009870972002166 relative_absolute_error 0.937089224683133 relative_absolute_error 0.8976915815310338 relative_absolute_error 0.8873569022963952 relative_absolute_error 0.82323690250575 relative_absolute_error 0.9974133568620897 relative_absolute_error 0.8822318909006561 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_prior_squared_error 0.49355861008160823 root_mean_squared_error 0.5180846378929236 root_mean_squared_error 0.4684524250126506 root_mean_squared_error 0.497693094682811 root_mean_squared_error 0.5358935912350409 root_mean_squared_error 0.5020559160169841 root_mean_squared_error 0.49226587321698617 root_mean_squared_error 0.46954243399865336 root_mean_squared_error 0.45172551388782606 root_mean_squared_error 0.51217615982418 root_mean_squared_error 0.4691993432248388 root_relative_squared_error 1.0496922296771605 root_relative_squared_error 0.9491323126450851 root_relative_squared_error 1.008376886790647 root_relative_squared_error 1.0857749825222027 root_relative_squared_error 1.0172164070523881 root_relative_squared_error 0.9973807834809967 root_relative_squared_error 0.9513407818394984 root_relative_squared_error 0.9152418875098437 root_relative_squared_error 1.037721051486658 root_relative_squared_error 0.9506456449969707 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 0.6067323481116584 [0.689655,0.52381] unweighted_recall 0.6001642036124795 [0.724138,0.47619] unweighted_recall 0.5870279146141215 [0.793103,0.380952] unweighted_recall 0.5049261083743842 [0.724138,0.285714] unweighted_recall 0.5697865353037767 [0.758621,0.380952] unweighted_recall 0.5804597701149425 [0.827586,0.333333] unweighted_recall 0.6412151067323482 [0.758621,0.52381] unweighted_recall 0.6715927750410509 [0.724138,0.619048] unweighted_recall 0.5311986863711001 [0.586207,0.47619] unweighted_recall 0.6239737274220033 [0.724138,0.52381] usercpu_time_millis 1048.129560000234 usercpu_time_millis 1592.2796500017284 usercpu_time_millis 1507.4223299998266 usercpu_time_millis 1019.68750299784 usercpu_time_millis 1608.963221002341 usercpu_time_millis 1623.1541839988495 usercpu_time_millis 1228.144468001119 usercpu_time_millis 1500.3639140049927 usercpu_time_millis 1471.2782540009357 usercpu_time_millis 1323.837800999172 usercpu_time_millis_testing 31.432056999619817 usercpu_time_millis_testing 50.4755900001328 usercpu_time_millis_testing 50.73902300136979 usercpu_time_millis_testing 46.71396900084801 usercpu_time_millis_testing 52.02829799964093 usercpu_time_millis_testing 53.31185799877858 usercpu_time_millis_testing 43.41149900210439 usercpu_time_millis_testing 52.85402000299655 usercpu_time_millis_testing 29.78497400181368 usercpu_time_millis_testing 50.46469700027956 usercpu_time_millis_training 1016.6975030006142 usercpu_time_millis_training 1541.8040600015956 usercpu_time_millis_training 1456.6833069984568 usercpu_time_millis_training 972.973533996992 usercpu_time_millis_training 1556.9349230027 usercpu_time_millis_training 1569.842326000071 usercpu_time_millis_training 1184.7329689990147 usercpu_time_millis_training 1447.5098940019961 usercpu_time_millis_training 1441.493279999122 usercpu_time_millis_training 1273.3731039988925 wall_clock_time_millis 1049.7956275939941 wall_clock_time_millis 1592.6032066345215 wall_clock_time_millis 1507.4338912963867 wall_clock_time_millis 1019.7179317474365 wall_clock_time_millis 1609.0009212493896 wall_clock_time_millis 1623.1932640075684 wall_clock_time_millis 1228.1692028045654 wall_clock_time_millis 1501.3427734375 wall_clock_time_millis 1471.6086387634277 wall_clock_time_millis 1323.9221572875977 wall_clock_time_millis_testing 31.437397003173828 wall_clock_time_millis_testing 50.484418869018555 wall_clock_time_millis_testing 50.743818283081055 wall_clock_time_millis_testing 46.720027923583984 wall_clock_time_millis_testing 52.034616470336914 wall_clock_time_millis_testing 53.31730842590332 wall_clock_time_millis_testing 43.41864585876465 wall_clock_time_millis_testing 52.861928939819336 wall_clock_time_millis_testing 29.789209365844727 wall_clock_time_millis_testing 50.469398498535156 wall_clock_time_millis_training 1018.3582305908203 wall_clock_time_millis_training 1542.118787765503 wall_clock_time_millis_training 1456.6900730133057 wall_clock_time_millis_training 972.9979038238525 wall_clock_time_millis_training 1556.9663047790527 wall_clock_time_millis_training 1569.875955581665 wall_clock_time_millis_training 1184.7505569458008 wall_clock_time_millis_training 1448.4808444976807 wall_clock_time_millis_training 1441.819429397583 wall_clock_time_millis_training 1273.4527587890625 weighted_recall 0.62 [0.689655,0.52381] weighted_recall 0.62 [0.724138,0.47619] weighted_recall 0.62 [0.793103,0.380952] weighted_recall 0.54 [0.724138,0.285714] weighted_recall 0.6 [0.758621,0.380952] weighted_recall 0.62 [0.827586,0.333333] weighted_recall 0.66 [0.758621,0.52381] weighted_recall 0.68 [0.724138,0.619048] weighted_recall 0.54 [0.586207,0.47619] weighted_recall 0.64 [0.724138,0.52381]