10437845 11497 Fares Gaaloul 3489 Supervised Classification predictive_accuracy 17488 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1) 8259290 add_indicator false 17407 copy true 17407 fill_value -1 17407 missing_values NaN 17407 strategy "constant" 17407 verbose 0 17407 memory null 17488 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"}}] 17488 verbose false 17488 base_score 0.5 17489 booster "gbtree" 17489 colsample_bylevel 1 17489 colsample_bynode 1 17489 colsample_bytree 1 17489 gamma 0 17489 learning_rate 0.1 17489 max_delta_step 0 17489 max_depth 3 17489 min_child_weight 1 17489 missing null 17489 n_estimators 100 17489 n_jobs 1 17489 nthread null 17489 objective "multi:softprob" 17489 random_state 42 17489 reg_alpha 0 17489 reg_lambda 1 17489 scale_pos_weight 1 17489 seed null 17489 silent null 17489 subsample 1 17489 verbosity 1 17489 openml-python Sklearn_0.21.2. 327 bridges https://www.openml.org/data/download/52231/phpjuWdq9 -1 21800043 description https://api.openml.org/data/download/21800043/description.xml -1 21800044 predictions https://api.openml.org/data/download/21800044/predictions.arff area_under_roc_curve 0.8633269807265619 [1,0.764023,0.863636,0.840301,0.773694,0.881053] average_cost 0 f_measure 0.6577475434618292 [1,0.555556,0.75,0.47619,0.272727,0.47619] kappa 0.5445532284050068 kb_relative_information_score 0.5196113993809479 mean_absolute_error 0.136726095797381 mean_prior_absolute_error 0.2530244530244531 weighted_recall 0.6666666666666666 [1,0.454545,0.818182,0.384615,0.272727,0.5] number_of_instances 105 [16,11,44,13,11,10] precision 0.6665631987060558 [1,0.714286,0.692308,0.625,0.272727,0.454545] predictive_accuracy 0.6666666666666667 prior_entropy 2.3182249436120275 relative_absolute_error 0.5403671232683877 root_mean_prior_squared_error 0.3547438762475114 root_mean_squared_error 0.29308702249319285 root_relative_squared_error 0.8261933245852582 total_cost 0 unweighted_recall 0.5716783216783217 [1,0.454545,0.818182,0.384615,0.272727,0.5] area_under_roc_curve 0.9636363636363636 [1,0.7,1,1,0.9,1] area_under_roc_curve 0.9181818181818181 [1,0.2,1,0.9,1,1] area_under_roc_curve 0.8333333333333333 [1,1,0.833333,0.9,0.2,0.9] area_under_roc_curve 0.9121212121212122 [1,1,0.866667,1,0.9,0.8] area_under_roc_curve 0.9002886002886004 [1,0.4,0.928571,0.9,0.944444,1] area_under_roc_curve 0.7402777777777778 [1,1,0.708333,0.5625,0.777778,0.666667] area_under_roc_curve 0.75 [1,0.888889,0.75,0.75,0.777778,0.333333] area_under_roc_curve 0.7611111111111112 [1,0.777778,0.666667,0.75,0.666667,1] area_under_roc_curve 0.8444444444444444 [1,1,0.833333,0.777778,0.333333,1] area_under_roc_curve 0.7777777777777779 [1,0.222222,0.666667,1,0.888889,1] 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 0.7272727272727272 [1,1,0.666667,1,0.666667,0] kappa 0.7380952380952381 kappa 0.875 kappa 0.7380952380952381 kappa 0.641304347826087 kappa 0.49425287356321834 kappa 0.2424242424242424 kappa 0.3333333333333333 kappa 0.24050632911392408 kappa 0.620253164556962 kappa 0.4520547945205479 kb_relative_information_score 0.5886315737547515 kb_relative_information_score 0.7478036117317644 kb_relative_information_score 0.6686792074685886 kb_relative_information_score 0.6084907218333852 kb_relative_information_score 0.5263228321761514 kb_relative_information_score 0.30230932029275154 kb_relative_information_score 0.3114782358137704 kb_relative_information_score 0.35058004163051637 kb_relative_information_score 0.5586782122364616 kb_relative_information_score 0.5086706237928118 mean_absolute_error 0.1086894915181818 mean_absolute_error 0.07944960122500001 mean_absolute_error 0.0918199210769697 mean_absolute_error 0.12228558272681816 mean_absolute_error 0.13177629448045453 mean_absolute_error 0.18785297932 mean_absolute_error 0.18542854497749997 mean_absolute_error 0.19420536937883334 mean_absolute_error 0.135432608052 mean_absolute_error 0.145281524014 mean_prior_absolute_error 0.24924924924924927 mean_prior_absolute_error 0.24924924924924927 mean_prior_absolute_error 0.24924924924924927 mean_prior_absolute_error 0.24924924924924927 mean_prior_absolute_error 0.25825825825825827 mean_prior_absolute_error 0.2552552552552553 mean_prior_absolute_error 0.2552552552552553 mean_prior_absolute_error 0.2552552552552553 mean_prior_absolute_error 0.25585585585585585 mean_prior_absolute_error 0.2543543543543544 number_of_instances 11 [2,1,5,1,1,1] number_of_instances 11 [2,1,5,1,1,1] number_of_instances 11 [2,1,5,1,1,1] number_of_instances 11 [2,1,5,1,1,1] number_of_instances 11 [2,1,4,1,2,1] number_of_instances 10 [1,1,4,2,1,1] number_of_instances 10 [1,1,4,2,1,1] number_of_instances 10 [1,1,4,2,1,1] number_of_instances 10 [1,2,4,1,1,1] number_of_instances 10 [2,1,4,1,1,1] precision 0.75 [1,1,0.75,1,0.5,0] predictive_accuracy 0.8181818181818181 predictive_accuracy 0.9090909090909091 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.6 prior_entropy 2.242515620324082 prior_entropy 2.242515620324082 prior_entropy 2.242515620324082 prior_entropy 2.242515620324082 prior_entropy 2.4158693108339473 prior_entropy 2.3645216972737204 prior_entropy 2.3645216972737204 prior_entropy 2.3645216972737204 prior_entropy 2.3867609394073654 prior_entropy 2.336510905354447 relative_absolute_error 0.43606747801872936 relative_absolute_error 0.3187556290111446 relative_absolute_error 0.3683859484172398 relative_absolute_error 0.49061565118108974 relative_absolute_error 0.5102500704882715 relative_absolute_error 0.7359416719242351 relative_absolute_error 0.7264435938530291 relative_absolute_error 0.7608280941547235 relative_absolute_error 0.5293316723159155 relative_absolute_error 0.5711776563950649 root_mean_prior_squared_error 0.34938233206604175 root_mean_prior_squared_error 0.34938233206604175 root_mean_prior_squared_error 0.34938233206604175 root_mean_prior_squared_error 0.34938233206604175 root_mean_prior_squared_error 0.3620456089623445 root_mean_prior_squared_error 0.357874307496238 root_mean_prior_squared_error 0.357874307496238 root_mean_prior_squared_error 0.357874307496238 root_mean_prior_squared_error 0.3587124483015782 root_mean_prior_squared_error 0.35661340281179976 root_mean_squared_error 0.2508768238919057 root_mean_squared_error 0.19995548360789753 root_mean_squared_error 0.2370319195312746 root_mean_squared_error 0.26316405890860095 root_mean_squared_error 0.2789858483554623 root_mean_squared_error 0.3502336339921932 root_mean_squared_error 0.36340167889025354 root_mean_squared_error 0.3545460253391521 root_mean_squared_error 0.29487183512992965 root_mean_squared_error 0.31266602193593707 root_relative_squared_error 0.7180581296380032 root_relative_squared_error 0.5723113771251063 root_relative_squared_error 0.67843132802282 root_relative_squared_error 0.7532265794678381 root_relative_squared_error 0.7705820522311015 root_relative_squared_error 0.9786498406172254 root_relative_squared_error 1.015445007585725 root_relative_squared_error 0.9906998572197839 root_relative_squared_error 0.8220284423528669 root_relative_squared_error 0.8767646405621619 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 0.6666666666666666 [1,0,1,1,1,0] unweighted_recall 0.8333333333333334 [1,0,1,1,1,1] unweighted_recall 0.6666666666666666 [1,1,1,0,0,1] unweighted_recall 0.7666666666666666 [1,1,0.6,1,1,0] unweighted_recall 0.5 [1,0,1,0,0,1] unweighted_recall 0.3333333333333333 [1,0,1,0,0,0] unweighted_recall 0.4583333333333333 [1,1,0.75,0,0,0] unweighted_recall 0.4583333333333333 [1,0,0.25,0.5,0,1] unweighted_recall 0.625 [1,1,0.75,0,0,1] unweighted_recall 0.4583333333333333 [1,0,0.75,1,0,0] usercpu_time_millis 53.70979999997871 usercpu_time_millis 53.72560700016038 usercpu_time_millis 54.200265999952535 usercpu_time_millis 52.678226999887556 usercpu_time_millis 52.02773900009561 usercpu_time_millis 50.90284299990344 usercpu_time_millis 51.252961000045616 usercpu_time_millis 53.04495799987308 usercpu_time_millis 51.16297999984454 usercpu_time_millis 51.88520299998345 usercpu_time_millis_testing 1.1764339999444928 usercpu_time_millis_testing 0.8776350000516686 usercpu_time_millis_testing 0.9957180000128574 usercpu_time_millis_testing 0.8693049999237701 usercpu_time_millis_testing 0.864350000028935 usercpu_time_millis_testing 0.8374260000891809 usercpu_time_millis_testing 0.8678350000081991 usercpu_time_millis_testing 0.8837729999413568 usercpu_time_millis_testing 0.8541059999060963 usercpu_time_millis_testing 0.8434779999788589 usercpu_time_millis_training 52.53336600003422 usercpu_time_millis_training 52.84797200010871 usercpu_time_millis_training 53.20454799993968 usercpu_time_millis_training 51.808921999963786 usercpu_time_millis_training 51.16338900006667 usercpu_time_millis_training 50.06541699981426 usercpu_time_millis_training 50.38512600003742 usercpu_time_millis_training 52.16118499993172 usercpu_time_millis_training 50.30887399993844 usercpu_time_millis_training 51.04172500000459 wall_clock_time_millis 54.04186248779297 wall_clock_time_millis 54.01158332824707 wall_clock_time_millis 54.69107627868652 wall_clock_time_millis 53.071022033691406 wall_clock_time_millis 52.14977264404297 wall_clock_time_millis 50.939083099365234 wall_clock_time_millis 51.286935806274414 wall_clock_time_millis 53.252220153808594 wall_clock_time_millis 51.24711990356445 wall_clock_time_millis 51.98979377746582 wall_clock_time_millis_testing 1.2743473052978516 wall_clock_time_millis_testing 0.8819103240966797 wall_clock_time_millis_testing 1.0135173797607422 wall_clock_time_millis_testing 0.8730888366699219 wall_clock_time_millis_testing 0.8685588836669922 wall_clock_time_millis_testing 0.8420944213867188 wall_clock_time_millis_testing 0.8733272552490234 wall_clock_time_millis_testing 0.8873939514160156 wall_clock_time_millis_testing 0.8580684661865234 wall_clock_time_millis_testing 0.8475780487060547 wall_clock_time_millis_training 52.76751518249512 wall_clock_time_millis_training 53.12967300415039 wall_clock_time_millis_training 53.67755889892578 wall_clock_time_millis_training 52.197933197021484 wall_clock_time_millis_training 51.28121376037598 wall_clock_time_millis_training 50.096988677978516 wall_clock_time_millis_training 50.41360855102539 wall_clock_time_millis_training 52.36482620239258 wall_clock_time_millis_training 50.38905143737793 wall_clock_time_millis_training 51.142215728759766 weighted_recall 0.8181818181818182 [1,0,1,1,1,0] weighted_recall 0.9090909090909091 [1,0,1,1,1,1] weighted_recall 0.8181818181818182 [1,1,1,0,0,1] weighted_recall 0.7272727272727273 [1,1,0.6,1,1,0] weighted_recall 0.6363636363636364 [1,0,1,0,0,1] weighted_recall 0.5 [1,0,1,0,0,0] weighted_recall 0.5 [1,1,0.75,0,0,0] weighted_recall 0.4 [1,0,0.25,0.5,0,1] weighted_recall 0.7 [1,1,0.75,0,0,1] weighted_recall 0.6 [1,0,0.75,1,0,0]