10559715 3180 Claudio Rebelo Sá 31 Supervised Classification 18703 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=randomsubgroups._randomsubgroups.RandomSubgroupClassifier)(1) 8276243 add_indicator false 18585 copy true 18585 fill_value null 18585 missing_values NaN 18585 strategy "mean" 18585 verbose 0 18585 memory null 18703 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"}}] 18703 verbose false 18703 bootstrap true 18704 intervals_only false 18704 max_depth 1 18704 max_features "auto" 18704 max_samples null 18704 n_bins 20 18704 n_estimators 100 18704 n_jobs null 18704 quality_function_weight 0.5 18704 result_set_size 1 18704 search_strategy "bestfirst" 18704 verbose 0 18704 openml-python random-subgroups_0.1.1 Sklearn_0.23.1. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 22044659 description https://api.openml.org/data/download/22044659/description.xml -1 22044660 predictions https://api.openml.org/data/download/22044660/predictions.arff area_under_roc_curve 0.7236702380952381 [0.728038,0.713479] average_cost 0 f_measure 0.7202899352625464 [0.791789,0.553459] kappa 0.34622467771639037 kb_relative_information_score -1.2622303151719771 mean_absolute_error 0.46273999999999993 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.716 [0.771429,0.586667] number_of_instances 1000 [700,300] precision 0.726419965576592 [0.813253,0.52381] predictive_accuracy 0.716 prior_entropy 0.8812914463598482 relative_absolute_error 1.1013431828978644 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.6032254968086154 root_relative_squared_error 1.3163454530363643 total_cost 0 unweighted_recall 0.6790476190476191 [0.771429,0.586667] area_under_roc_curve 0.7829285714285714 [0.812143,0.714762] area_under_roc_curve 0.7018095238095239 [0.701667,0.702143] area_under_roc_curve 0.6901904761904762 [0.710476,0.642857] area_under_roc_curve 0.6918333333333334 [0.674762,0.731667] area_under_roc_curve 0.6887619047619047 [0.678333,0.713095] area_under_roc_curve 0.7635952380952381 [0.788095,0.706429] area_under_roc_curve 0.7924285714285715 [0.790714,0.796429] area_under_roc_curve 0.7469523809523809 [0.743095,0.755952] area_under_roc_curve 0.7432619047619048 [0.750476,0.726429] area_under_roc_curve 0.7221666666666667 [0.745952,0.666667] 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 0.7679120879120879 [0.815385,0.657143] f_measure 0.6767362797474503 [0.774648,0.448276] f_measure 0.6632509977348723 [0.724409,0.520548] f_measure 0.6738539898132428 [0.725806,0.552632] f_measure 0.7026647966339412 [0.782609,0.516129] f_measure 0.74294670846395 [0.827586,0.545455] f_measure 0.7532151546750088 [0.817518,0.603175] f_measure 0.7525611569130963 [0.847682,0.530612] f_measure 0.748024948024948 [0.837838,0.538462] f_measure 0.6933165195460278 [0.737705,0.589744] kappa 0.47826086956521735 kappa 0.2233009708737866 kappa 0.2584745762711865 kappa 0.29752066115702486 kappa 0.29906542056074764 kappa 0.37500000000000006 kappa 0.4212962962962964 kappa 0.38829787234042556 kappa 0.3814432989690722 kappa 0.3495934959349594 kb_relative_information_score -1.2797310797436716 kb_relative_information_score -1.2747602142435215 kb_relative_information_score -1.3083592202717602 kb_relative_information_score -1.2700932809414898 kb_relative_information_score -1.3006299050573886 kb_relative_information_score -1.2334928856103176 kb_relative_information_score -1.22643187718613 kb_relative_information_score -1.1923124347178606 kb_relative_information_score -1.2316831095777352 kb_relative_information_score -1.3048091443697494 mean_absolute_error 0.4677499999999999 mean_absolute_error 0.4619499999999997 mean_absolute_error 0.47739999999999994 mean_absolute_error 0.46985000000000016 mean_absolute_error 0.47080000000000005 mean_absolute_error 0.4552000000000001 mean_absolute_error 0.44579999999999975 mean_absolute_error 0.44665000000000016 mean_absolute_error 0.45499999999999985 mean_absolute_error 0.4770000000000001 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.7908333333333333 [0.883333,0.575] precision 0.6740079365079364 [0.763889,0.464286] precision 0.6974704202366381 [0.807018,0.44186] precision 0.7202898550724638 [0.833333,0.456522] precision 0.7058823529411765 [0.794118,0.5] precision 0.74 [0.8,0.6] precision 0.7578018995929443 [0.835821,0.575758] precision 0.7583495776478233 [0.790123,0.684211] precision 0.7473193473193472 [0.794872,0.636364] precision 0.7495192307692308 [0.865385,0.479167] predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.65 predictive_accuracy 0.66 predictive_accuracy 0.7 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.76 predictive_accuracy 0.68 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 relative_absolute_error 1.1132672209026109 relative_absolute_error 1.0994629453681686 relative_absolute_error 1.136234679334915 relative_absolute_error 1.1182653206650817 relative_absolute_error 1.1205263657957227 relative_absolute_error 1.0833976247030863 relative_absolute_error 1.0610251781472662 relative_absolute_error 1.0630482185273145 relative_absolute_error 1.0829216152018981 relative_absolute_error 1.1352826603325399 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.6084517236395999 root_mean_squared_error 0.6069246246446094 root_mean_squared_error 0.6176001943004876 root_mean_squared_error 0.6078630602364319 root_mean_squared_error 0.6147918346887831 root_mean_squared_error 0.5926845704082402 root_mean_squared_error 0.5908916990447574 root_mean_squared_error 0.5810546445903344 root_mean_squared_error 0.5924499978901172 root_mean_squared_error 0.6182984716138314 root_relative_squared_error 1.3277500106386182 root_relative_squared_error 1.3244176086943582 root_relative_squared_error 1.3477136027288195 root_relative_squared_error 1.3264654422670414 root_relative_squared_error 1.341585261959213 root_relative_squared_error 1.293343274561922 root_relative_squared_error 1.289430909982365 root_relative_squared_error 1.2679647054355452 root_relative_squared_error 1.2928313955560244 root_relative_squared_error 1.3492373681718277 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 0.7619047619047619 [0.757143,0.766667] unweighted_recall 0.6095238095238096 [0.785714,0.433333] unweighted_recall 0.6452380952380952 [0.657143,0.633333] unweighted_recall 0.6714285714285715 [0.642857,0.7] unweighted_recall 0.6523809523809524 [0.771429,0.533333] unweighted_recall 0.6785714285714286 [0.857143,0.5] unweighted_recall 0.7166666666666667 [0.8,0.633333] unweighted_recall 0.6738095238095239 [0.914286,0.433333] unweighted_recall 0.6761904761904762 [0.885714,0.466667] unweighted_recall 0.7047619047619048 [0.642857,0.766667] usercpu_time_millis 1000 usercpu_time_millis 1125 usercpu_time_millis 1078.125 usercpu_time_millis 984.375 usercpu_time_millis 1093.75 usercpu_time_millis 1062.5 usercpu_time_millis 1125 usercpu_time_millis 1109.375 usercpu_time_millis 1093.75 usercpu_time_millis 1062.5 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 984.375 usercpu_time_millis_training 1109.375 usercpu_time_millis_training 1078.125 usercpu_time_millis_training 984.375 usercpu_time_millis_training 1078.125 usercpu_time_millis_training 1046.875 usercpu_time_millis_training 1109.375 usercpu_time_millis_training 1109.375 usercpu_time_millis_training 1093.75 usercpu_time_millis_training 1046.875 wall_clock_time_millis 1004.1165351867676 wall_clock_time_millis 1123.3844757080078 wall_clock_time_millis 1077.7671337127686 wall_clock_time_millis 994.121789932251 wall_clock_time_millis 1088.9344215393066 wall_clock_time_millis 1060.5649948120117 wall_clock_time_millis 1152.8642177581787 wall_clock_time_millis 1111.128330230713 wall_clock_time_millis 1090.5296802520752 wall_clock_time_millis 1047.919750213623 wall_clock_time_millis_testing 5.021572113037109 wall_clock_time_millis_testing 8.018970489501953 wall_clock_time_millis_testing 6.237506866455078 wall_clock_time_millis_testing 5.984067916870117 wall_clock_time_millis_testing 4.987239837646484 wall_clock_time_millis_testing 5.985498428344727 wall_clock_time_millis_testing 4.9877166748046875 wall_clock_time_millis_testing 7.023811340332031 wall_clock_time_millis_testing 9.192943572998047 wall_clock_time_millis_testing 6.304502487182617 wall_clock_time_millis_training 999.0949630737305 wall_clock_time_millis_training 1115.3655052185059 wall_clock_time_millis_training 1071.5296268463135 wall_clock_time_millis_training 988.1377220153809 wall_clock_time_millis_training 1083.9471817016602 wall_clock_time_millis_training 1054.579496383667 wall_clock_time_millis_training 1147.876501083374 wall_clock_time_millis_training 1104.1045188903809 wall_clock_time_millis_training 1081.3367366790771 wall_clock_time_millis_training 1041.6152477264404 weighted_recall 0.76 [0.757143,0.766667] weighted_recall 0.68 [0.785714,0.433333] weighted_recall 0.65 [0.657143,0.633333] weighted_recall 0.66 [0.642857,0.7] weighted_recall 0.7 [0.771429,0.533333] weighted_recall 0.75 [0.857143,0.5] weighted_recall 0.75 [0.8,0.633333] weighted_recall 0.77 [0.914286,0.433333] weighted_recall 0.76 [0.885714,0.466667] weighted_recall 0.68 [0.642857,0.766667]