10585058 28997 Marc Boel 9967 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8301340 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "most_frequent" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.060097374948062485 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 795 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 91 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 19 19040 random_state 7166 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.23137643922190923 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1504 steel-plates-fault https://www.openml.org/data/download/1592296/php9xWOpn -1 22096384 description https://api.openml.org/data/download/22096384/description.xml -1 22096385 predictions https://api.openml.org/data/download/22096385/predictions.arff area_under_roc_curve 0.9923584777422062 [0.992358,0.992358] average_cost 0 f_measure 0.9753767155682315 [0.980876,0.965015] kappa 0.9459016907463601 kb_relative_information_score 0.8183002689732443 mean_absolute_error 0.09807243100432894 mean_prior_absolute_error 0.45306405137877787 weighted_recall 0.9752704791344667 [0.97082,0.983655] number_of_instances 1941 [1268,673] precision 0.9758608851294467 [0.991143,0.947067] predictive_accuracy 0.9752704791344669 prior_entropy 0.9311124141243181 relative_absolute_error 0.2164648259023686 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.16318112759575815 root_relative_squared_error 0.34286904868701873 total_cost 0 unweighted_recall 0.9772377320815033 [0.97082,0.983655] area_under_roc_curve 0.9983788791106993 [0.998379,0.998379] area_under_roc_curve 0.9908332353978141 [0.990833,0.990833] area_under_roc_curve 0.9945939593371725 [0.994594,0.994594] area_under_roc_curve 0.9876601245739804 [0.98766,0.98766] area_under_roc_curve 0.9998824773768951 [0.999882,0.999882] area_under_roc_curve 0.9883652603126102 [0.988365,0.988365] area_under_roc_curve 0.9962392760606417 [0.996239,0.996239] area_under_roc_curve 0.9913620872017862 [0.991362,0.991362] area_under_roc_curve 0.9920634920634921 [0.992063,0.992063] area_under_roc_curve 0.989437441643324 [0.989437,0.989437] 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 0.9694241758241758 [0.976,0.957143] f_measure 0.9742713252350186 [0.980237,0.962963] f_measure 0.9846129815900818 [0.988048,0.978102] f_measure 0.9742713252350186 [0.980237,0.962963] f_measure 0.9948542650470037 [0.996047,0.992593] f_measure 0.9692729717615419 [0.976,0.956522] f_measure 0.9692729717615419 [0.976,0.956522] f_measure 0.9592539732570259 [0.96748,0.943662] f_measure 0.9896907216494846 [0.992063,0.985294] f_measure 0.9690721649484536 [0.97619,0.955882] kappa 0.933173406442769 kappa 0.9432017800679237 kappa 0.9661588556808932 kappa 0.9432017800679237 kappa 0.9886403560135848 kappa 0.9325530188897903 kappa 0.9325530188897903 kappa 0.9113041490456053 kappa 0.977357609710551 kappa 0.9320728291316527 kb_relative_information_score 0.8233976350821004 kb_relative_information_score 0.8171050988122324 kb_relative_information_score 0.828121845789201 kb_relative_information_score 0.8120011779397771 kb_relative_information_score 0.8516926115189666 kb_relative_information_score 0.8085177406732252 kb_relative_information_score 0.7972153954292811 kb_relative_information_score 0.7959541627465747 kb_relative_information_score 0.8414194659717776 kb_relative_information_score 0.8074721957787606 mean_absolute_error 0.09605378468617756 mean_absolute_error 0.09827600936933106 mean_absolute_error 0.09358712605261552 mean_absolute_error 0.10091258749187033 mean_absolute_error 0.08447047093608846 mean_absolute_error 0.10347551250657236 mean_absolute_error 0.10598547868705002 mean_absolute_error 0.10468889054667511 mean_absolute_error 0.09060323222009319 mean_absolute_error 0.10268162294020712 mean_prior_absolute_error 0.4536732781714767 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.45422372672718864 mean_prior_absolute_error 0.45422372672718864 number_of_instances 195 [127,68] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [126,68] number_of_instances 194 [126,68] precision 0.9704884997567924 [0.99187,0.930556] precision 0.9743723950061124 [0.984127,0.955882] precision 0.98519882179676 [1,0.957143] precision 0.9743723950061124 [0.984127,0.955882] precision 0.9949211643420254 [1,0.985294] precision 0.9703565454414528 [0.99187,0.929577] precision 0.9703565454414528 [0.99187,0.929577] precision 0.9631615120274913 [1,0.893333] precision 0.9896907216494846 [0.992063,0.985294] precision 0.9690721649484536 [0.97619,0.955882] predictive_accuracy 0.9692307692307692 predictive_accuracy 0.9742268041237113 predictive_accuracy 0.9845360824742267 predictive_accuracy 0.9742268041237113 predictive_accuracy 0.9948453608247422 predictive_accuracy 0.9690721649484536 predictive_accuracy 0.9690721649484536 predictive_accuracy 0.9587628865979382 predictive_accuracy 0.9896907216494846 predictive_accuracy 0.9690721649484536 prior_entropy 0.932928534004902 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9345694345320188 prior_entropy 0.9345694345320188 relative_absolute_error 0.2117245808995427 relative_absolute_error 0.2171148658353567 relative_absolute_error 0.20675601753901926 relative_absolute_error 0.22293968828198524 relative_absolute_error 0.18661517782448273 relative_absolute_error 0.22860179365525 relative_absolute_error 0.23414690048267225 relative_absolute_error 0.23128243170796575 relative_absolute_error 0.19946829478265102 relative_absolute_error 0.22605957570745472 root_mean_prior_squared_error 0.4765680392655914 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.4771452028525092 root_mean_prior_squared_error 0.4771452028525092 root_mean_squared_error 0.15543408228299016 root_mean_squared_error 0.1701373000068992 root_mean_squared_error 0.15385151028245242 root_mean_squared_error 0.17317842132152214 root_mean_squared_error 0.1226973609299784 root_mean_squared_error 0.16778969890779308 root_mean_squared_error 0.17574442764742282 root_mean_squared_error 0.18596947115941215 root_mean_squared_error 0.14020614467236095 root_mean_squared_error 0.17660544514559784 root_relative_squared_error 0.3261529718243794 root_relative_squared_error 0.357816010880973 root_relative_squared_error 0.32356534207988363 root_relative_squared_error 0.3642117976799839 root_relative_squared_error 0.2580450038398841 root_relative_squared_error 0.35287876748762026 root_relative_squared_error 0.3696083694334553 root_relative_squared_error 0.39111267378291914 root_relative_squared_error 0.29384376880280655 root_relative_squared_error 0.37012935284647197 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 0.9729620194534507 [0.96063,0.985294] unweighted_recall 0.9732636032436244 [0.976378,0.970149] unweighted_recall 0.9881889763779528 [0.976378,1] unweighted_recall 0.9732636032436244 [0.976378,0.970149] unweighted_recall 0.9960629921259843 [0.992126,1] unweighted_recall 0.972852274062757 [0.96063,0.985075] unweighted_recall 0.972852274062757 [0.96063,0.985075] unweighted_recall 0.9685039370078741 [0.937008,1] unweighted_recall 0.9886788048552755 [0.992063,0.985294] unweighted_recall 0.9660364145658263 [0.97619,0.955882] usercpu_time_millis 1052.2259840017796 usercpu_time_millis 1052.146347999951 usercpu_time_millis 1039.1084350012534 usercpu_time_millis 1038.191965999431 usercpu_time_millis 1051.7712890014081 usercpu_time_millis 1051.5792200003489 usercpu_time_millis 1045.8600569982082 usercpu_time_millis 1047.5448590004817 usercpu_time_millis 1043.9540930001385 usercpu_time_millis 1025.7095059987478 usercpu_time_millis_testing 6.398802001058357 usercpu_time_millis_testing 7.048529001622228 usercpu_time_millis_testing 6.555255000421312 usercpu_time_millis_testing 6.999179000558797 usercpu_time_millis_testing 7.503333999920869 usercpu_time_millis_testing 7.881732000896591 usercpu_time_millis_testing 6.4348919986514375 usercpu_time_millis_testing 7.151362000513473 usercpu_time_millis_testing 7.073665999996592 usercpu_time_millis_testing 4.554691999146598 usercpu_time_millis_training 1045.8271820007212 usercpu_time_millis_training 1045.0978189983289 usercpu_time_millis_training 1032.553180000832 usercpu_time_millis_training 1031.1927869988722 usercpu_time_millis_training 1044.2679550014873 usercpu_time_millis_training 1043.6974879994523 usercpu_time_millis_training 1039.4251649995567 usercpu_time_millis_training 1040.3934969999682 usercpu_time_millis_training 1036.880427000142 usercpu_time_millis_training 1021.1548139996012 wall_clock_time_millis 1072.495698928833 wall_clock_time_millis 1083.8401317596436 wall_clock_time_millis 1062.0169639587402 wall_clock_time_millis 1072.618007659912 wall_clock_time_millis 1060.560703277588 wall_clock_time_millis 1078.6688327789307 wall_clock_time_millis 1063.7993812561035 wall_clock_time_millis 1066.0126209259033 wall_clock_time_millis 1054.7659397125244 wall_clock_time_millis 1046.8196868896484 wall_clock_time_millis_testing 6.404638290405273 wall_clock_time_millis_testing 12.496471405029297 wall_clock_time_millis_testing 6.560564041137695 wall_clock_time_millis_testing 7.010221481323242 wall_clock_time_millis_testing 7.5092315673828125 wall_clock_time_millis_testing 7.9498291015625 wall_clock_time_millis_testing 6.45756721496582 wall_clock_time_millis_testing 7.1563720703125 wall_clock_time_millis_testing 7.081031799316406 wall_clock_time_millis_testing 4.559755325317383 wall_clock_time_millis_training 1066.0910606384277 wall_clock_time_millis_training 1071.3436603546143 wall_clock_time_millis_training 1055.4563999176025 wall_clock_time_millis_training 1065.6077861785889 wall_clock_time_millis_training 1053.051471710205 wall_clock_time_millis_training 1070.7190036773682 wall_clock_time_millis_training 1057.3418140411377 wall_clock_time_millis_training 1058.8562488555908 wall_clock_time_millis_training 1047.684907913208 wall_clock_time_millis_training 1042.259931564331 weighted_recall 0.9692307692307692 [0.96063,0.985294] weighted_recall 0.9742268041237113 [0.976378,0.970149] weighted_recall 0.9845360824742269 [0.976378,1] weighted_recall 0.9742268041237113 [0.976378,0.970149] weighted_recall 0.9948453608247423 [0.992126,1] weighted_recall 0.9690721649484536 [0.96063,0.985075] weighted_recall 0.9690721649484536 [0.96063,0.985075] weighted_recall 0.9587628865979382 [0.937008,1] weighted_recall 0.9896907216494846 [0.992063,0.985294] weighted_recall 0.9690721649484536 [0.97619,0.955882]