10464869 11598 Robert Marincu 31 Supervised Classification 17376 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(6) 8275537 class_weight null 17350 criterion "gini" 17350 max_depth null 17350 max_features null 17350 max_leaf_nodes null 17350 min_impurity_decrease 0.0 17350 min_impurity_split null 17350 min_samples_leaf 1 17350 min_samples_split 2 17350 min_weight_fraction_leaf 0.0 17350 presort false 17350 random_state 54949 17350 splitter "best" 17350 memory null 17376 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"}}] 17376 verbose false 17376 add_indicator false 17377 copy true 17377 fill_value null 17377 missing_values NaN 17377 strategy "mean" 17377 verbose 0 17377 openml-python Sklearn_0.21.3. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 21854562 description https://api.openml.org/data/download/21854562/description.xml -1 21854563 predictions https://api.openml.org/data/download/21854563/predictions.arff area_under_roc_curve 0.6442857142857142 [0.644286,0.644286] average_cost 0 f_measure 0.6937475627193552 [0.774052,0.506369] kappa 0.2810760667903524 kb_relative_information_score 0.20839193626150634 mean_absolute_error 0.31 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.69 [0.758571,0.53] number_of_instances 1000 [700,300] precision 0.6985518292682927 [0.790179,0.484756] predictive_accuracy 0.69 prior_entropy 0.8812914463598482 relative_absolute_error 0.7378147268408567 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.5567764362830022 root_relative_squared_error 1.214985331582313 total_cost 0 unweighted_recall 0.6442857142857144 [0.758571,0.53] area_under_roc_curve 0.7285714285714286 [0.728571,0.728571] area_under_roc_curve 0.6833333333333335 [0.683333,0.683333] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.6428571428571429 [0.642857,0.642857] area_under_roc_curve 0.6261904761904762 [0.62619,0.62619] area_under_roc_curve 0.6547619047619048 [0.654762,0.654762] area_under_roc_curve 0.7119047619047619 [0.711905,0.711905] area_under_roc_curve 0.6547619047619048 [0.654762,0.654762] area_under_roc_curve 0.5452380952380952 [0.545238,0.545238] area_under_roc_curve 0.5952380952380952 [0.595238,0.595238] 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 0.7474153297682711 [0.80303,0.617647] f_measure 0.7312418917325155 [0.805755,0.557377] f_measure 0.6730158730158731 [0.777778,0.428571] f_measure 0.7 [0.785714,0.5] f_measure 0.6884721721360739 [0.780142,0.474576] f_measure 0.6961823361823362 [0.77037,0.523077] f_measure 0.7369992144540456 [0.796992,0.597015] f_measure 0.6961823361823362 [0.77037,0.523077] f_measure 0.6241442767758557 [0.741259,0.350877] f_measure 0.6325274725274725 [0.707692,0.457143] kappa 0.42477876106194684 kappa 0.36320754716981135 kappa 0.2079207920792081 kappa 0.2857142857142857 kappa 0.25480769230769224 kappa 0.29545454545454525 kappa 0.3973214285714285 kappa 0.29545454545454525 kappa 0.09313725490196086 kappa 0.1739130434782608 kb_relative_information_score 0.33607065621932586 kb_relative_information_score 0.3105349122277614 kb_relative_information_score 0.1828561922699398 kb_relative_information_score 0.2339276802530685 kb_relative_information_score 0.20839193626150418 kb_relative_information_score 0.20839193626150407 kb_relative_information_score 0.3105349122277615 kb_relative_information_score 0.20839193626150412 kb_relative_information_score 0.055177472312118024 kb_relative_information_score 0.029641728320553628 mean_absolute_error 0.26 mean_absolute_error 0.27 mean_absolute_error 0.32 mean_absolute_error 0.3 mean_absolute_error 0.31 mean_absolute_error 0.31 mean_absolute_error 0.27 mean_absolute_error 0.31 mean_absolute_error 0.37 mean_absolute_error 0.38 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 0.7641765704584041 [0.854839,0.552632] precision 0.7326320710612435 [0.811594,0.548387] precision 0.6681912681912682 [0.756757,0.461538] precision 0.7 [0.785714,0.5] precision 0.6870811073336571 [0.774648,0.482759] precision 0.7057142857142857 [0.8,0.485714] precision 0.7510510510510511 [0.84127,0.540541] precision 0.7057142857142857 [0.8,0.485714] precision 0.6193302891933028 [0.726027,0.37037] precision 0.6566666666666667 [0.766667,0.4] predictive_accuracy 0.74 predictive_accuracy 0.73 predictive_accuracy 0.68 predictive_accuracy 0.7 predictive_accuracy 0.69 predictive_accuracy 0.69 predictive_accuracy 0.73 predictive_accuracy 0.69 predictive_accuracy 0.63 predictive_accuracy 0.62 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 0.6188123515439421 relative_absolute_error 0.6426128266033244 relative_absolute_error 0.7616152019002363 relative_absolute_error 0.7140142517814715 relative_absolute_error 0.737814726840854 relative_absolute_error 0.737814726840854 relative_absolute_error 0.6426128266033244 relative_absolute_error 0.737814726840854 relative_absolute_error 0.8806175771971482 relative_absolute_error 0.9044180522565307 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 0.5099019513592785 root_mean_squared_error 0.5196152422706632 root_mean_squared_error 0.565685424949238 root_mean_squared_error 0.5477225575051661 root_mean_squared_error 0.5567764362830022 root_mean_squared_error 0.5567764362830022 root_mean_squared_error 0.5196152422706632 root_mean_squared_error 0.5567764362830022 root_mean_squared_error 0.6082762530298219 root_mean_squared_error 0.6164414002968976 root_relative_squared_error 1.1126968583344015 root_relative_squared_error 1.133892988791197 root_relative_squared_error 1.234426331314577 root_relative_squared_error 1.1952281558253186 root_relative_squared_error 1.2149853315823114 root_relative_squared_error 1.2149853315823114 root_relative_squared_error 1.133892988791197 root_relative_squared_error 1.2149853315823114 root_relative_squared_error 1.3273671025212643 root_relative_squared_error 1.3451849078614746 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 0.7285714285714285 [0.757143,0.7] unweighted_recall 0.6833333333333333 [0.8,0.566667] unweighted_recall 0.6000000000000001 [0.8,0.4] unweighted_recall 0.6428571428571428 [0.785714,0.5] unweighted_recall 0.6261904761904762 [0.785714,0.466667] unweighted_recall 0.6547619047619048 [0.742857,0.566667] unweighted_recall 0.7119047619047618 [0.757143,0.666667] unweighted_recall 0.6547619047619048 [0.742857,0.566667] unweighted_recall 0.5452380952380952 [0.757143,0.333333] unweighted_recall 0.5952380952380952 [0.657143,0.533333] usercpu_time_millis 4.94636599999998 usercpu_time_millis 4.155488999999735 usercpu_time_millis 4.458235000000199 usercpu_time_millis 4.134112000000023 usercpu_time_millis 4.26257200000002 usercpu_time_millis 4.575226999999904 usercpu_time_millis 12.414524000000204 usercpu_time_millis 11.199968999999976 usercpu_time_millis 12.190391000000078 usercpu_time_millis 9.444443000000247 usercpu_time_millis_testing 0.3539729999999519 usercpu_time_millis_testing 0.2255339999999162 usercpu_time_millis_testing 0.23419100000010573 usercpu_time_millis_testing 0.23283200000001614 usercpu_time_millis_testing 0.25330099999987254 usercpu_time_millis_testing 0.3819970000000783 usercpu_time_millis_testing 0.9182170000001655 usercpu_time_millis_testing 0.6501599999999552 usercpu_time_millis_testing 0.9676830000000525 usercpu_time_millis_testing 0.34790500000014823 usercpu_time_millis_training 4.592393000000028 usercpu_time_millis_training 3.9299549999998185 usercpu_time_millis_training 4.224044000000093 usercpu_time_millis_training 3.901280000000007 usercpu_time_millis_training 4.0092710000001475 usercpu_time_millis_training 4.193229999999826 usercpu_time_millis_training 11.496307000000039 usercpu_time_millis_training 10.549809000000021 usercpu_time_millis_training 11.222708000000026 usercpu_time_millis_training 9.096538000000098 wall_clock_time_millis 4.951715469360352 wall_clock_time_millis 4.156589508056641 wall_clock_time_millis 4.460334777832031 wall_clock_time_millis 4.1351318359375 wall_clock_time_millis 4.264354705810547 wall_clock_time_millis 4.585027694702148 wall_clock_time_millis 7.036447525024414 wall_clock_time_millis 6.353616714477539 wall_clock_time_millis 7.009983062744141 wall_clock_time_millis 5.897045135498047 wall_clock_time_millis_testing 0.3561973571777344 wall_clock_time_millis_testing 0.2269744873046875 wall_clock_time_millis_testing 0.2357959747314453 wall_clock_time_millis_testing 0.23412704467773438 wall_clock_time_millis_testing 0.2551078796386719 wall_clock_time_millis_testing 0.38504600524902344 wall_clock_time_millis_testing 0.6003379821777344 wall_clock_time_millis_testing 0.4398822784423828 wall_clock_time_millis_testing 0.621795654296875 wall_clock_time_millis_testing 0.35071372985839844 wall_clock_time_millis_training 4.595518112182617 wall_clock_time_millis_training 3.929615020751953 wall_clock_time_millis_training 4.224538803100586 wall_clock_time_millis_training 3.9010047912597656 wall_clock_time_millis_training 4.009246826171875 wall_clock_time_millis_training 4.199981689453125 wall_clock_time_millis_training 6.43610954284668 wall_clock_time_millis_training 5.913734436035156 wall_clock_time_millis_training 6.388187408447266 wall_clock_time_millis_training 5.546331405639648 weighted_recall 0.74 [0.757143,0.7] weighted_recall 0.73 [0.8,0.566667] weighted_recall 0.68 [0.8,0.4] weighted_recall 0.7 [0.785714,0.5] weighted_recall 0.69 [0.785714,0.466667] weighted_recall 0.69 [0.742857,0.566667] weighted_recall 0.73 [0.757143,0.666667] weighted_recall 0.69 [0.742857,0.566667] weighted_recall 0.63 [0.757143,0.333333] weighted_recall 0.62 [0.657143,0.533333]