10227989 8637 joe zhou 3948 Supervised Classification 9767 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2) 8153352 copy true 9559 fill_value null 9559 missing_values NaN 9559 strategy "mean" 9559 verbose 0 9559 class_weight null 9614 criterion "gini" 9614 max_depth null 9614 max_features null 9614 max_leaf_nodes null 9614 min_impurity_decrease 0.0 9614 min_impurity_split null 9614 min_samples_leaf 1 9614 min_samples_split 2 9614 min_weight_fraction_leaf 0.0 9614 presort false 9614 random_state 57268 9614 splitter "best" 9614 memory null 9767 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 9767 openml-python Sklearn_0.20.3. 1114 KDDCup09_upselling https://www.openml.org/data/download/53997/KDDCup09_upselling.arff -1 21376942 description https://api.openml.org/data/download/21376942/description.xml -1 21376943 predictions https://api.openml.org/data/download/21376943/predictions.arff area_under_roc_curve 0.6821285633766373 [0.682129,0.682129] average_cost 0 f_measure 0.9069472228166764 [0.947821,0.392771] kappa 0.340865104769279 kb_relative_information_score 939.2887141201489 mean_absolute_error 0.0961 mean_prior_absolute_error 0.13644884284613232 number_of_instances 50000 [46318,3682] precision 0.9103366581688188 [0.953506,0.367289] predictive_accuracy 0.9039 prior_entropy 0.37942519132030705 recall 0.9039 [0.942204,0.422053] relative_absolute_error 0.7042932574251874 root_mean_prior_squared_error 0.26118413177440014 root_mean_squared_error 0.31 root_relative_squared_error 1.1869021210973296 total_cost 0 area_under_roc_curve 0.6882462266276188 [0.688246,0.688246] area_under_roc_curve 0.6792750807238868 [0.679275,0.679275] area_under_roc_curve 0.6710149620785464 [0.671015,0.671015] area_under_roc_curve 0.6718339340692349 [0.671834,0.671834] area_under_roc_curve 0.6816240519636555 [0.681624,0.681624] area_under_roc_curve 0.6948684012915822 [0.694868,0.694868] area_under_roc_curve 0.6861765037170534 [0.686177,0.686177] area_under_roc_curve 0.6852050011263798 [0.685205,0.685205] area_under_roc_curve 0.6811402361486366 [0.68114,0.68114] area_under_roc_curve 0.6819068385026325 [0.681907,0.681907] 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 0.9077917240395055 [0.948055,0.401003] f_measure 0.9067929619215365 [0.947905,0.389313] f_measure 0.9051683023383623 [0.947174,0.37644] f_measure 0.904710029016785 [0.946706,0.376112] f_measure 0.9052557632253553 [0.946384,0.387578] f_measure 0.9103428196376355 [0.949723,0.414665] f_measure 0.9081620846905538 [0.948534,0.4] f_measure 0.9068776714290321 [0.947506,0.395494] f_measure 0.9082125921081753 [0.949035,0.395887] f_measure 0.9061372477052225 [0.947185,0.390977] kappa 0.34939785274069535 kappa 0.33744705097682426 kappa 0.32380495369105294 kappa 0.32306039569670475 kappa 0.3343896690796055 kappa 0.3646519225660268 kappa 0.34879518866804704 kappa 0.3433545852611246 kappa 0.3450678593306093 kappa 0.33848714460017704 kb_relative_information_score 117.5251046851568 kb_relative_information_score 97.10782990951544 kb_relative_information_score 25.647368194736384 kb_relative_information_score -15.187181356548463 kb_relative_information_score -35.604456132203595 kb_relative_information_score 270.65466550251045 kb_relative_information_score 158.35965423644055 kb_relative_information_score 66.48191774603355 kb_relative_information_score 208.82100476969129 kb_relative_information_score 45.48280656449966 mean_absolute_error 0.0956 mean_absolute_error 0.096 mean_absolute_error 0.0974 mean_absolute_error 0.0982 mean_absolute_error 0.0986 mean_absolute_error 0.0926 mean_absolute_error 0.0948 mean_absolute_error 0.0966 mean_absolute_error 0.094 mean_absolute_error 0.0972 mean_prior_absolute_error 0.13641473541058433 mean_prior_absolute_error 0.13641473541058433 mean_prior_absolute_error 0.13641473541058433 mean_prior_absolute_error 0.13641473541058433 mean_prior_absolute_error 0.13641473541058433 mean_prior_absolute_error 0.13641473541058433 mean_prior_absolute_error 0.13641473541058433 mean_prior_absolute_error 0.13641473541058433 mean_prior_absolute_error 0.1365852725890972 mean_prior_absolute_error 0.1365852725890972 number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4631,369] number_of_instances 5000 [4631,369] precision 0.911621670144013 [0.954486,0.372093] precision 0.9098704855070499 [0.953077,0.366029] precision 0.9079629934265224 [0.95182,0.355932] precision 0.9079072866603211 [0.951976,0.353222] precision 0.9096325270770617 [0.953539,0.356979] precision 0.9136449471119604 [0.955429,0.387707] precision 0.9114609852602289 [0.954128,0.374408] precision 0.9108018543203745 [0.954038,0.366589] precision 0.9106131290145119 [0.953169,0.376528] precision 0.9098771862134801 [0.953402,0.363636] predictive_accuracy 0.9044 predictive_accuracy 0.904 predictive_accuracy 0.9026000000000001 predictive_accuracy 0.9018 predictive_accuracy 0.9014 predictive_accuracy 0.9074 predictive_accuracy 0.9052 predictive_accuracy 0.9034 predictive_accuracy 0.9059999999999999 predictive_accuracy 0.9028 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 prior_entropy 0.37942519132030705 recall 0.9044 [0.94171,0.434783] recall 0.904 [0.942789,0.415761] recall 0.9026 [0.942573,0.399457] recall 0.9018 [0.941494,0.402174] recall 0.9014 [0.939335,0.423913] recall 0.9074 [0.944085,0.445652] recall 0.9052 [0.943005,0.429348] recall 0.9034 [0.941062,0.429348] recall 0.906 [0.944936,0.417344] recall 0.9028 [0.941049,0.422764] relative_absolute_error 0.7008040569243553 relative_absolute_error 0.703736291472156 relative_absolute_error 0.7139991123894582 relative_absolute_error 0.7198635814850596 relative_absolute_error 0.72279581603286 relative_absolute_error 0.6788122978158504 relative_absolute_error 0.694939587828754 relative_absolute_error 0.708134643293857 relative_absolute_error 0.6882147556478464 relative_absolute_error 0.7116433430741559 root_mean_prior_squared_error 0.26111882975979983 root_mean_prior_squared_error 0.26111882975979983 root_mean_prior_squared_error 0.26111882975979983 root_mean_prior_squared_error 0.26111882975979983 root_mean_prior_squared_error 0.26111882975979983 root_mean_prior_squared_error 0.26111882975979983 root_mean_prior_squared_error 0.26111882975979983 root_mean_prior_squared_error 0.26111882975979983 root_mean_prior_squared_error 0.26144517672667095 root_mean_prior_squared_error 0.26144517672667095 root_mean_squared_error 0.30919249667480614 root_mean_squared_error 0.30983866769659335 root_mean_squared_error 0.3120897306865447 root_mean_squared_error 0.31336879231984793 root_mean_squared_error 0.31400636936215165 root_mean_squared_error 0.3043024810940588 root_mean_squared_error 0.30789608636681304 root_mean_squared_error 0.31080540535840107 root_mean_squared_error 0.3065941943351178 root_mean_squared_error 0.3117691453623979 root_relative_squared_error 1.1841064735133378 root_relative_squared_error 1.1865810978917544 root_relative_squared_error 1.195201935354997 root_relative_squared_error 1.2001003244695614 root_relative_squared_error 1.2025420367079709 root_relative_squared_error 1.1653793078575876 root_relative_squared_error 1.1791416446299299 root_relative_squared_error 1.1902833880050219 root_relative_squared_error 1.1726901913958354 root_relative_squared_error 1.1924838287926742 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 4520.725176000042 usercpu_time_millis 4608.721061999972 usercpu_time_millis 4761.619728000028 usercpu_time_millis 4683.638581999958 usercpu_time_millis 4635.352771999919 usercpu_time_millis 4384.166492999952 usercpu_time_millis 4607.4000889999525 usercpu_time_millis 4621.318540999937 usercpu_time_millis 4404.609489999984 usercpu_time_millis 4621.786195999903 usercpu_time_millis_testing 56.83053999996446 usercpu_time_millis_testing 61.32977800007211 usercpu_time_millis_testing 59.281490999978814 usercpu_time_millis_testing 57.962170999985574 usercpu_time_millis_testing 57.96872700000222 usercpu_time_millis_testing 58.02940699993542 usercpu_time_millis_testing 57.03577600002063 usercpu_time_millis_testing 58.20146899998235 usercpu_time_millis_testing 59.21775100000559 usercpu_time_millis_testing 56.693812999924376 usercpu_time_millis_training 4463.894636000077 usercpu_time_millis_training 4547.3912839999 usercpu_time_millis_training 4702.338237000049 usercpu_time_millis_training 4625.676410999972 usercpu_time_millis_training 4577.384044999917 usercpu_time_millis_training 4326.137086000017 usercpu_time_millis_training 4550.364312999932 usercpu_time_millis_training 4563.1170719999545 usercpu_time_millis_training 4345.391738999979 usercpu_time_millis_training 4565.092382999978