10444828 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) 8263559 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 false 17650 class_weight null 17650 criterion "entropy" 17650 max_depth null 17650 max_features 0.3017811121569316 17650 max_leaf_nodes null 17650 min_impurity_decrease 0 17650 min_impurity_split null 17650 min_samples_leaf 2 17650 min_samples_split 11 17650 min_weight_fraction_leaf 0.0 17650 n_estimators 500 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 21814085 description https://api.openml.org/data/download/21814085/description.xml -1 21814086 predictions https://api.openml.org/data/download/21814086/predictions.arff area_under_roc_curve 0.5958784893267652 [0.595878,0.595878] average_cost 0 f_measure 0.5760985445365052 [0.66343,0.455497] kappa 0.12428427079824853 kb_relative_information_score 0.07847029915274856 mean_absolute_error 0.4502785925901242 mean_prior_absolute_error 0.4872509960159361 weighted_recall 0.584 [0.706897,0.414286] number_of_instances 500 [290,210] precision 0.5749418604651163 [0.625,0.505814] predictive_accuracy 0.584 prior_entropy 0.9814541958069474 relative_absolute_error 0.9241204148824304 root_mean_prior_squared_error 0.4935586100816085 root_mean_squared_error 0.5013295345015805 root_relative_squared_error 1.0157446841393105 total_cost 0 unweighted_recall 0.5605911330049261 [0.706897,0.414286] area_under_roc_curve 0.5090311986863711 [0.509031,0.509031] area_under_roc_curve 0.6945812807881774 [0.694581,0.694581] area_under_roc_curve 0.5911330049261084 [0.591133,0.591133] area_under_roc_curve 0.43842364532019706 [0.438424,0.438424] area_under_roc_curve 0.5336617405582923 [0.533662,0.533662] area_under_roc_curve 0.5977011494252874 [0.597701,0.597701] area_under_roc_curve 0.6338259441707718 [0.633826,0.633826] area_under_roc_curve 0.7257799671592775 [0.72578,0.72578] area_under_roc_curve 0.5517241379310345 [0.551724,0.551724] area_under_roc_curve 0.6518883415435139 [0.651888,0.651888] 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 0.52 [0.586207,0.428571] f_measure 0.6024615384615384 [0.707692,0.457143] f_measure 0.6094036894036894 [0.698413,0.486486] f_measure 0.47692307692307695 [0.615385,0.285714] f_measure 0.5439583333333333 [0.65625,0.388889] f_measure 0.5669117647058823 [0.705882,0.375] f_measure 0.5966666666666667 [0.666667,0.5] f_measure 0.6609710322317421 [0.701754,0.604651] f_measure 0.52 [0.586207,0.428571] f_measure 0.637 [0.7,0.55] kappa 0.014778325123152677 kappa 0.18244406196213422 kappa 0.1935483870967741 kappa -0.07573149741824443 kappa 0.05982905982905989 kappa 0.12126537785588756 kappa 0.16805324459234605 kappa 0.3066884176182708 kappa 0.014778325123152677 kappa 0.25124792013311154 kb_relative_information_score -0.003111095118382903 kb_relative_information_score 0.1387981606520851 kb_relative_information_score 0.08279438917184397 kb_relative_information_score -0.03535878489784855 kb_relative_information_score 0.04455101506184808 kb_relative_information_score 0.11302518042445552 kb_relative_information_score 0.1130605668408457 kb_relative_information_score 0.18863247352475235 kb_relative_information_score 0.024485853388151867 kb_relative_information_score 0.11782523247973203 mean_absolute_error 0.4865700177600177 mean_absolute_error 0.4232363747429042 mean_absolute_error 0.44994432900432896 mean_absolute_error 0.49879987585616986 mean_absolute_error 0.4647463185703186 mean_absolute_error 0.4356839968887322 mean_absolute_error 0.43434773509359575 mean_absolute_error 0.40163415517815515 mean_absolute_error 0.4721287577276524 mean_absolute_error 0.43569436507936515 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 0.52 [0.586207,0.428571] precision 0.6105555555555555 [0.638889,0.571429] precision 0.6115441176470588 [0.647059,0.5625] precision 0.4722222222222222 [0.555556,0.357143] precision 0.544 [0.6,0.466667] precision 0.586013986013986 [0.615385,0.545455] precision 0.5952461799660442 [0.645161,0.526316] precision 0.6624675324675325 [0.714286,0.590909] precision 0.52 [0.586207,0.428571] precision 0.6360611205432938 [0.677419,0.578947] predictive_accuracy 0.52 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.5 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.66 predictive_accuracy 0.52 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 0.9986024076677387 relative_absolute_error 0.8686208508623792 relative_absolute_error 0.9234343955853359 relative_absolute_error 1.023702116434167 relative_absolute_error 0.9538129677935402 relative_absolute_error 0.8941674833938822 relative_absolute_error 0.8914250327758997 relative_absolute_error 0.8242859603411035 relative_absolute_error 0.9689641716242089 relative_absolute_error 0.8941887623460397 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 0.5372291849726053 root_mean_squared_error 0.4636023037211906 root_mean_squared_error 0.4994424958013623 root_mean_squared_error 0.5463572898571857 root_mean_squared_error 0.5182019263280344 root_mean_squared_error 0.5065184434630005 root_mean_squared_error 0.4797331842086065 root_mean_squared_error 0.45974546729544863 root_mean_squared_error 0.509788820458073 root_mean_squared_error 0.4851113268410313 root_relative_squared_error 1.0884810314296336 root_relative_squared_error 0.9393054730511855 root_relative_squared_error 1.011921351587365 root_relative_squared_error 1.1069755013834068 root_relative_squared_error 1.04992986798944 root_relative_squared_error 1.026257942049171 root_relative_squared_error 0.971988279424979 root_relative_squared_error 0.9314911297351925 root_relative_squared_error 1.0328840588431456 root_relative_squared_error 0.9828849440207715 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 0.5073891625615763 [0.586207,0.428571] unweighted_recall 0.5870279146141215 [0.793103,0.380952] unweighted_recall 0.5935960591133005 [0.758621,0.428571] unweighted_recall 0.46387520525451564 [0.689655,0.238095] unweighted_recall 0.5287356321839081 [0.724138,0.333333] unweighted_recall 0.5566502463054187 [0.827586,0.285714] unweighted_recall 0.5829228243021347 [0.689655,0.47619] unweighted_recall 0.6543513957307061 [0.689655,0.619048] unweighted_recall 0.5073891625615763 [0.586207,0.428571] unweighted_recall 0.6239737274220033 [0.724138,0.52381] usercpu_time_millis 1244.2647979987669 usercpu_time_millis 1233.5823770008574 usercpu_time_millis 1203.5205460015277 usercpu_time_millis 1205.6887370017648 usercpu_time_millis 1236.0368330009806 usercpu_time_millis 1233.2710760019836 usercpu_time_millis 1209.2884220000997 usercpu_time_millis 1300.7121369992092 usercpu_time_millis 1200.3121960005956 usercpu_time_millis 1220.5714559968328 usercpu_time_millis_testing 47.6032619990292 usercpu_time_millis_testing 47.402975000295555 usercpu_time_millis_testing 51.09652600003756 usercpu_time_millis_testing 47.633959002268966 usercpu_time_millis_testing 47.65485800089664 usercpu_time_millis_testing 49.07364999962738 usercpu_time_millis_testing 48.863010000786744 usercpu_time_millis_testing 48.65914100082591 usercpu_time_millis_testing 49.12655400039512 usercpu_time_millis_testing 48.247144997731084 usercpu_time_millis_training 1196.6615359997377 usercpu_time_millis_training 1186.1794020005618 usercpu_time_millis_training 1152.4240200014901 usercpu_time_millis_training 1158.0547779994959 usercpu_time_millis_training 1188.381975000084 usercpu_time_millis_training 1184.1974260023562 usercpu_time_millis_training 1160.425411999313 usercpu_time_millis_training 1252.0529959983833 usercpu_time_millis_training 1151.1856420002005 usercpu_time_millis_training 1172.3243109991017 wall_clock_time_millis 1244.274377822876 wall_clock_time_millis 1234.1597080230713 wall_clock_time_millis 1209.8009586334229 wall_clock_time_millis 1206.0344219207764 wall_clock_time_millis 1236.0386848449707 wall_clock_time_millis 1233.5963249206543 wall_clock_time_millis 1209.2983722686768 wall_clock_time_millis 1300.715446472168 wall_clock_time_millis 1200.329065322876 wall_clock_time_millis 1220.5815315246582 wall_clock_time_millis_testing 47.6069450378418 wall_clock_time_millis_testing 47.406911849975586 wall_clock_time_millis_testing 51.24044418334961 wall_clock_time_millis_testing 47.93286323547363 wall_clock_time_millis_testing 47.65939712524414 wall_clock_time_millis_testing 49.07822608947754 wall_clock_time_millis_testing 48.867225646972656 wall_clock_time_millis_testing 48.664093017578125 wall_clock_time_millis_testing 49.13187026977539 wall_clock_time_millis_testing 48.25115203857422 wall_clock_time_millis_training 1196.6674327850342 wall_clock_time_millis_training 1186.7527961730957 wall_clock_time_millis_training 1158.5605144500732 wall_clock_time_millis_training 1158.1015586853027 wall_clock_time_millis_training 1188.3792877197266 wall_clock_time_millis_training 1184.5180988311768 wall_clock_time_millis_training 1160.431146621704 wall_clock_time_millis_training 1252.0513534545898 wall_clock_time_millis_training 1151.1971950531006 wall_clock_time_millis_training 1172.330379486084 weighted_recall 0.52 [0.586207,0.428571] weighted_recall 0.62 [0.793103,0.380952] weighted_recall 0.62 [0.758621,0.428571] weighted_recall 0.5 [0.689655,0.238095] weighted_recall 0.56 [0.724138,0.333333] weighted_recall 0.6 [0.827586,0.285714] weighted_recall 0.6 [0.689655,0.47619] weighted_recall 0.66 [0.689655,0.619048] weighted_recall 0.52 [0.586207,0.428571] weighted_recall 0.64 [0.724138,0.52381]