10585060 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) 8301342 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 "mean" 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 0.9256898211712299 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1047 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 5 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 8 19040 random_state 46339 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2785602395913625 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 22096388 description https://api.openml.org/data/download/22096388/description.xml -1 22096389 predictions https://api.openml.org/data/download/22096389/predictions.arff area_under_roc_curve 1 [1,1] average_cost 0 f_measure 1 [1,1] kappa 1 kb_relative_information_score 0.9999937137213096 mean_absolute_error 0.000004057140195096202 mean_prior_absolute_error 0.45306405137877787 weighted_recall 1 [1,1] number_of_instances 1941 [1268,673] precision 1 [1,1] predictive_accuracy 1 prior_entropy 0.9311124141243181 relative_absolute_error 0.000008954893204943966 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.000004718831823493892 root_relative_squared_error 0.00000991500305257995 total_cost 0 unweighted_recall 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] 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 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kb_relative_information_score 0.9999944481963232 kb_relative_information_score 0.999992689746267 kb_relative_information_score 0.9999945771475401 kb_relative_information_score 0.9999946078392586 kb_relative_information_score 0.9999943213898422 kb_relative_information_score 0.9999938627011075 kb_relative_information_score 0.9999925275451998 kb_relative_information_score 0.9999937753808739 kb_relative_information_score 0.9999926996280882 kb_relative_information_score 0.9999936269903986 mean_absolute_error 0.0000035901045957571695 mean_absolute_error 0.000004711680291144005 mean_absolute_error 0.000003495198337583114 mean_absolute_error 0.0000034754166212217166 mean_absolute_error 0.0000036600405324675213 mean_absolute_error 0.000003955678956848075 mean_absolute_error 0.000004816222918607059 mean_absolute_error 0.000004011958149946269 mean_absolute_error 0.000004729121759550617 mean_absolute_error 0.0000041283871878333774 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 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 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 0.000007913414275196088 relative_absolute_error 0.000010409212185512944 relative_absolute_error 0.000007721716856455269 relative_absolute_error 0.000007678014382969017 relative_absolute_error 0.000008085892114038558 relative_absolute_error 0.000008739027067900361 relative_absolute_error 0.000010640171487598728 relative_absolute_error 0.000008863361069018744 relative_absolute_error 0.000010411437098685457 relative_absolute_error 0.000009088884936900112 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 0.000003716757905370613 root_mean_squared_error 0.000005687616096350724 root_mean_squared_error 0.000003626024296306732 root_mean_squared_error 0.0000036004578561985556 root_mean_squared_error 0.000004132757707403071 root_mean_squared_error 0.0000044578305192357345 root_mean_squared_error 0.000005901262922663546 root_mean_squared_error 0.000004790652260015977 root_mean_squared_error 0.000005760605871701241 root_mean_squared_error 0.0000047466749258795796 root_relative_squared_error 0.000007799007904722842 root_relative_squared_error 0.000011961633944679394 root_relative_squared_error 0.000007625897137249441 root_relative_squared_error 0.00000757212831870369 root_relative_squared_error 0.00000869160893431715 root_relative_squared_error 0.000009375270052549942 root_relative_squared_error 0.00001241095490560645 root_relative_squared_error 0.000010075227954877172 root_relative_squared_error 0.000012073066725312773 root_relative_squared_error 0.000009948072195848584 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 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] usercpu_time_millis 367.10022399893205 usercpu_time_millis 356.83924300064973 usercpu_time_millis 368.42484200315084 usercpu_time_millis 366.73497000083444 usercpu_time_millis 372.1442059995752 usercpu_time_millis 381.6303699986747 usercpu_time_millis 358.12748900025326 usercpu_time_millis 377.0659500005422 usercpu_time_millis 361.2546529984684 usercpu_time_millis 376.42468699959863 usercpu_time_millis_testing 6.716807998600416 usercpu_time_millis_testing 6.405113999790046 usercpu_time_millis_testing 6.4366640017397 usercpu_time_millis_testing 6.902385999637772 usercpu_time_millis_testing 6.614191999688046 usercpu_time_millis_testing 6.272393999097403 usercpu_time_millis_testing 6.3718410001456505 usercpu_time_millis_testing 6.909228000949952 usercpu_time_millis_testing 6.300171999100712 usercpu_time_millis_testing 4.152900999542908 usercpu_time_millis_training 360.38341600033164 usercpu_time_millis_training 350.4341290008597 usercpu_time_millis_training 361.98817800141114 usercpu_time_millis_training 359.83258400119666 usercpu_time_millis_training 365.53001399988716 usercpu_time_millis_training 375.3579759995773 usercpu_time_millis_training 351.7556480001076 usercpu_time_millis_training 370.15672199959226 usercpu_time_millis_training 354.95448099936766 usercpu_time_millis_training 372.2717860000557 wall_clock_time_millis 372.1802234649658 wall_clock_time_millis 361.13810539245605 wall_clock_time_millis 374.6953010559082 wall_clock_time_millis 368.61133575439453 wall_clock_time_millis 403.83219718933105 wall_clock_time_millis 389.9972438812256 wall_clock_time_millis 358.95800590515137 wall_clock_time_millis 384.6144676208496 wall_clock_time_millis 382.1229934692383 wall_clock_time_millis 383.2709789276123 wall_clock_time_millis_testing 6.722450256347656 wall_clock_time_millis_testing 6.410837173461914 wall_clock_time_millis_testing 6.442785263061523 wall_clock_time_millis_testing 6.908416748046875 wall_clock_time_millis_testing 6.695985794067383 wall_clock_time_millis_testing 6.277322769165039 wall_clock_time_millis_testing 6.377458572387695 wall_clock_time_millis_testing 6.914854049682617 wall_clock_time_millis_testing 6.306648254394531 wall_clock_time_millis_testing 4.157781600952148 wall_clock_time_millis_training 365.45777320861816 wall_clock_time_millis_training 354.72726821899414 wall_clock_time_millis_training 368.2525157928467 wall_clock_time_millis_training 361.70291900634766 wall_clock_time_millis_training 397.1362113952637 wall_clock_time_millis_training 383.71992111206055 wall_clock_time_millis_training 352.5805473327637 wall_clock_time_millis_training 377.699613571167 wall_clock_time_millis_training 375.81634521484375 wall_clock_time_millis_training 379.11319732666016 weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1]