10585105 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) 8301387 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 0.0627622435610471 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1426 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 152 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 15 19040 random_state 55065 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.1920068021370879 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 22096478 description https://api.openml.org/data/download/22096478/description.xml -1 22096479 predictions https://api.openml.org/data/download/22096479/predictions.arff area_under_roc_curve 0.953149535251077 [0.95315,0.95315] average_cost 0 f_measure 0.8911782962147695 [0.915672,0.845029] kappa 0.7607351475563112 kb_relative_information_score 0.5623741537439971 mean_absolute_error 0.21151333470102807 mean_prior_absolute_error 0.45306405137877787 weighted_recall 0.8907779495105616 [0.907729,0.858841] number_of_instances 1941 [1268,673] precision 0.8918218596321783 [0.923756,0.831655] predictive_accuracy 0.8907779495105617 prior_entropy 0.9311124141243181 relative_absolute_error 0.46685084384281744 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.2958730491325538 root_relative_squared_error 0.6216755110279268 total_cost 0 unweighted_recall 0.8832848585128972 [0.907729,0.858841] area_under_roc_curve 0.9563455303381195 [0.956346,0.956346] area_under_roc_curve 0.9581619461746386 [0.958162,0.958162] area_under_roc_curve 0.959572217651898 [0.959572,0.959572] area_under_roc_curve 0.9316018333529205 [0.931602,0.931602] area_under_roc_curve 0.9424139146785755 [0.942414,0.942414] area_under_roc_curve 0.9445293218944647 [0.944529,0.944529] area_under_roc_curve 0.9606299212598426 [0.96063,0.96063] area_under_roc_curve 0.950405453049712 [0.950405,0.950405] area_under_roc_curve 0.963702147525677 [0.963702,0.963702] area_under_roc_curve 0.9672619047619048 [0.967262,0.967262] 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 0.9070092697999674 [0.930233,0.863636] f_measure 0.8832568951619392 [0.90535,0.841379] f_measure 0.8956805114988104 [0.923077,0.84375] f_measure 0.8218542210829927 [0.870229,0.730159] f_measure 0.8704105920355796 [0.902724,0.80916] f_measure 0.8934084694956836 [0.91358,0.855172] f_measure 0.8975765725384731 [0.92,0.855072] f_measure 0.9135191759639477 [0.930612,0.881119] f_measure 0.9077937194165993 [0.927419,0.871429] f_measure 0.9180388617036438 [0.935484,0.885714] kappa 0.7939657196525006 kappa 0.7475958818870913 kappa 0.7670788810181295 kappa 0.6011609626315152 kappa 0.7119610405036227 kappa 0.7695440660708226 kappa 0.7751767296326342 kappa 0.8121653946918783 kappa 0.7989405803777061 kappa 0.8212805158912942 kb_relative_information_score 0.5807198689397634 kb_relative_information_score 0.5605671524731758 kb_relative_information_score 0.5697326795018737 kb_relative_information_score 0.5174794342230861 kb_relative_information_score 0.5332706494167767 kb_relative_information_score 0.5095385129927891 kb_relative_information_score 0.5761987831491168 kb_relative_information_score 0.5486648319864478 kb_relative_information_score 0.6058202237178348 kb_relative_information_score 0.6210771409556883 mean_absolute_error 0.20464295826217824 mean_absolute_error 0.21184820289390002 mean_absolute_error 0.20793790722036026 mean_absolute_error 0.2271744641165268 mean_absolute_error 0.22017804751523956 mean_absolute_error 0.2349062584824177 mean_absolute_error 0.20481728339265706 mean_absolute_error 0.21970244151848795 mean_absolute_error 0.19650906140136173 mean_absolute_error 0.18745213651868897 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 0.9071711685261302 [0.916031,0.890625] precision 0.8908684040216213 [0.948276,0.782051] precision 0.8963811421404618 [0.902256,0.885246] precision 0.8220707864950395 [0.844444,0.779661] precision 0.8701415047581286 [0.892308,0.828125] precision 0.9009395480689473 [0.956897,0.794872] precision 0.8990509986412483 [0.934959,0.830986] precision 0.9187339636002464 [0.966102,0.828947] precision 0.909183520177267 [0.942623,0.847222] precision 0.9193754342478357 [0.95082,0.861111] predictive_accuracy 0.9076923076923077 predictive_accuracy 0.8814432989690723 predictive_accuracy 0.8969072164948453 predictive_accuracy 0.8247422680412372 predictive_accuracy 0.8711340206185567 predictive_accuracy 0.8917525773195877 predictive_accuracy 0.8969072164948453 predictive_accuracy 0.9123711340206185 predictive_accuracy 0.9072164948453608 predictive_accuracy 0.9175257731958762 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 0.45108003514553163 relative_absolute_error 0.4680226073884955 relative_absolute_error 0.4593838426891007 relative_absolute_error 0.501881930436534 relative_absolute_error 0.48642519728807976 relative_absolute_error 0.5189632863767034 relative_absolute_error 0.45248964920258916 relative_absolute_error 0.48537447155310254 relative_absolute_error 0.4326261483900577 relative_absolute_error 0.41268680055384827 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 0.290384275667336 root_mean_squared_error 0.2933920536067479 root_mean_squared_error 0.290955713692943 root_mean_squared_error 0.3227549111305401 root_mean_squared_error 0.30931591253962903 root_mean_squared_error 0.3139119135853756 root_mean_squared_error 0.28925731402141935 root_mean_squared_error 0.2982500189179522 root_mean_squared_error 0.2757195913372221 root_mean_squared_error 0.27080644443916463 root_relative_squared_error 0.6093238567043411 root_relative_squared_error 0.6170332680810504 root_relative_squared_error 0.6119093979533804 root_relative_squared_error 0.67878633778889 root_relative_squared_error 0.6505227596914369 root_relative_squared_error 0.6601886163855724 root_relative_squared_error 0.608337491056295 root_relative_squared_error 0.6272500622148633 root_relative_squared_error 0.577852590131667 root_relative_squared_error 0.567555626296161 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 0.8915585919407133 [0.944882,0.838235] unweighted_recall 0.8882947467387472 [0.866142,0.910448] unweighted_recall 0.8754260195087554 [0.944882,0.80597] unweighted_recall 0.7921024797273475 [0.897638,0.686567] unweighted_recall 0.8522153014455283 [0.913386,0.791045] unweighted_recall 0.8996944411799271 [0.874016,0.925373] unweighted_recall 0.8930544129744975 [0.905512,0.880597] unweighted_recall 0.9189681513691386 [0.897638,0.940299] unweighted_recall 0.9048786181139122 [0.912698,0.897059] unweighted_recall 0.9161998132586368 [0.920635,0.911765] usercpu_time_millis 1007.2048080000968 usercpu_time_millis 1018.916872999398 usercpu_time_millis 1003.8275189999695 usercpu_time_millis 1004.6251579988166 usercpu_time_millis 1018.6818820002372 usercpu_time_millis 1013.4474710012 usercpu_time_millis 1016.1981639994337 usercpu_time_millis 1012.8859409996949 usercpu_time_millis 1038.2383659998595 usercpu_time_millis 1038.561239001865 usercpu_time_millis_testing 7.006087000263506 usercpu_time_millis_testing 7.649269999092212 usercpu_time_millis_testing 7.39018800049962 usercpu_time_millis_testing 7.548468998720637 usercpu_time_millis_testing 6.727833999320865 usercpu_time_millis_testing 7.353911001700908 usercpu_time_millis_testing 7.134137998946244 usercpu_time_millis_testing 7.692332999795326 usercpu_time_millis_testing 6.785813999158563 usercpu_time_millis_testing 7.168220001403824 usercpu_time_millis_training 1000.1987209998333 usercpu_time_millis_training 1011.2676030003058 usercpu_time_millis_training 996.4373309994699 usercpu_time_millis_training 997.0766890000959 usercpu_time_millis_training 1011.9540480009164 usercpu_time_millis_training 1006.0935599994991 usercpu_time_millis_training 1009.0640260004875 usercpu_time_millis_training 1005.1936079998995 usercpu_time_millis_training 1031.452552000701 usercpu_time_millis_training 1031.3930190004612 wall_clock_time_millis 1032.4466228485107 wall_clock_time_millis 1046.8268394470215 wall_clock_time_millis 1011.1958980560303 wall_clock_time_millis 1028.8991928100586 wall_clock_time_millis 1042.2947406768799 wall_clock_time_millis 1028.6986827850342 wall_clock_time_millis 1038.35129737854 wall_clock_time_millis 1024.7316360473633 wall_clock_time_millis 1048.5649108886719 wall_clock_time_millis 1057.5225353240967 wall_clock_time_millis_testing 7.012128829956055 wall_clock_time_millis_testing 7.678508758544922 wall_clock_time_millis_testing 7.4138641357421875 wall_clock_time_millis_testing 7.584095001220703 wall_clock_time_millis_testing 6.877422332763672 wall_clock_time_millis_testing 7.407188415527344 wall_clock_time_millis_testing 7.140636444091797 wall_clock_time_millis_testing 8.14509391784668 wall_clock_time_millis_testing 6.791114807128906 wall_clock_time_millis_testing 7.260799407958984 wall_clock_time_millis_training 1025.4344940185547 wall_clock_time_millis_training 1039.1483306884766 wall_clock_time_millis_training 1003.7820339202881 wall_clock_time_millis_training 1021.3150978088379 wall_clock_time_millis_training 1035.4173183441162 wall_clock_time_millis_training 1021.2914943695068 wall_clock_time_millis_training 1031.2106609344482 wall_clock_time_millis_training 1016.5865421295166 wall_clock_time_millis_training 1041.773796081543 wall_clock_time_millis_training 1050.2617359161377 weighted_recall 0.9076923076923077 [0.944882,0.838235] weighted_recall 0.8814432989690721 [0.866142,0.910448] weighted_recall 0.8969072164948454 [0.944882,0.80597] weighted_recall 0.8247422680412371 [0.897638,0.686567] weighted_recall 0.8711340206185567 [0.913386,0.791045] weighted_recall 0.8917525773195877 [0.874016,0.925373] weighted_recall 0.8969072164948454 [0.905512,0.880597] weighted_recall 0.9123711340206185 [0.897638,0.940299] weighted_recall 0.9072164948453608 [0.912698,0.897059] weighted_recall 0.9175257731958762 [0.920635,0.911765]