10582847 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) 8299129 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 "median" 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 0.49488514246420734 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1727 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 122 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 11 19040 random_state 48184 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.261789837480411 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 22091962 description https://api.openml.org/data/download/22091962/description.xml -1 22091963 predictions https://api.openml.org/data/download/22091963/predictions.arff area_under_roc_curve 0.9810573213775129 [0.981057,0.981057] average_cost 0 f_measure 0.9280669117326276 [0.944444,0.89721] kappa 0.8416662393779919 kb_relative_information_score 0.7818147095019056 mean_absolute_error 0.10370734728879517 mean_prior_absolute_error 0.45306405137877787 weighted_recall 0.9278722308088614 [0.938486,0.907875] number_of_instances 1941 [1268,673] precision 0.9283972119970871 [0.950479,0.886792] predictive_accuracy 0.9278722308088614 prior_entropy 0.9311124141243181 relative_absolute_error 0.22890217613423516 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.22310516931436788 root_relative_squared_error 0.46877882440838115 total_cost 0 unweighted_recall 0.9231804950759582 [0.938486,0.907875] area_under_roc_curve 0.9883047707271885 [0.988305,0.988305] area_under_roc_curve 0.9874250793277705 [0.987425,0.987425] area_under_roc_curve 0.9894229639205546 [0.989423,0.989423] area_under_roc_curve 0.97767070161006 [0.977671,0.977671] area_under_roc_curve 0.9629803737219415 [0.96298,0.96298] area_under_roc_curve 0.9749676812786461 [0.974968,0.974968] area_under_roc_curve 0.9849571042425667 [0.984957,0.984957] area_under_roc_curve 0.9803737219414738 [0.980374,0.980374] area_under_roc_curve 0.9828431372549019 [0.982843,0.982843] area_under_roc_curve 0.9877450980392157 [0.987745,0.987745] 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 0.9384615384615385 [0.952756,0.911765] f_measure 0.9538389447702456 [0.964143,0.934307] f_measure 0.927284239775249 [0.945736,0.892308] f_measure 0.9011091785006914 [0.926641,0.852713] f_measure 0.9335221178416848 [0.947791,0.906475] f_measure 0.9028400183840011 [0.923695,0.863309] f_measure 0.9128068956771305 [0.932271,0.875912] f_measure 0.9437494843275793 [0.955823,0.920863] f_measure 0.9234682842930266 [0.938776,0.895105] f_measure 0.942993019236995 [0.956863,0.917293] kappa 0.8645206113941639 kappa 0.8984765670426795 kappa 0.8381213493861009 kappa 0.7795190812298122 kappa 0.8543711745005197 kappa 0.7871578704238366 kappa 0.8082335155250611 kappa 0.8767756091927474 kappa 0.8341124159160872 kappa 0.874189364461738 kb_relative_information_score 0.7894709946555524 kb_relative_information_score 0.8260914206266767 kb_relative_information_score 0.7949558905150081 kb_relative_information_score 0.741143930424547 kb_relative_information_score 0.7692899660312361 kb_relative_information_score 0.7526621323656293 kb_relative_information_score 0.7820722600404005 kb_relative_information_score 0.7659534028187724 kb_relative_information_score 0.7915819103605596 kb_relative_information_score 0.8046951468037638 mean_absolute_error 0.1045843728181082 mean_absolute_error 0.08473671228492127 mean_absolute_error 0.09654371874704833 mean_absolute_error 0.12084839666879524 mean_absolute_error 0.11032397513346776 mean_absolute_error 0.11248692527259649 mean_absolute_error 0.10124649148460126 mean_absolute_error 0.11351617295175624 mean_absolute_error 0.09801199972915191 mean_absolute_error 0.09477018704735608 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 0.9384615384615385 [0.952756,0.911765] precision 0.9545595990308329 [0.975806,0.914286] precision 0.9276152002208506 [0.931298,0.920635] precision 0.9014949965232638 [0.909091,0.887097] precision 0.9353663173905695 [0.967213,0.875] precision 0.9048785983888232 [0.942623,0.833333] precision 0.9137073020095966 [0.943548,0.857143] precision 0.9455288903911516 [0.97541,0.888889] precision 0.9267596523145342 [0.966387,0.853333] precision 0.9431864706858714 [0.945736,0.938462] predictive_accuracy 0.9384615384615383 predictive_accuracy 0.9536082474226804 predictive_accuracy 0.9278350515463917 predictive_accuracy 0.9020618556701031 predictive_accuracy 0.9329896907216495 predictive_accuracy 0.9020618556701031 predictive_accuracy 0.9123711340206185 predictive_accuracy 0.9432989690721649 predictive_accuracy 0.9226804123711341 predictive_accuracy 0.9432989690721649 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 0.2305279544777994 relative_absolute_error 0.18720336771032173 relative_absolute_error 0.2132878275941994 relative_absolute_error 0.26698258911346806 relative_absolute_error 0.2437316616053101 relative_absolute_error 0.2485101282145989 relative_absolute_error 0.22367736089454746 relative_absolute_error 0.25078397890518117 relative_absolute_error 0.21577912812999947 relative_absolute_error 0.2086420886249212 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 0.20331450922456568 root_mean_squared_error 0.19900570066897558 root_mean_squared_error 0.20912339254772 root_mean_squared_error 0.24411948293641916 root_mean_squared_error 0.24154298226920337 root_mean_squared_error 0.24968543288602751 root_mean_squared_error 0.22478825294530938 root_mean_squared_error 0.22257134809835244 root_mean_squared_error 0.22205487185472217 root_mean_squared_error 0.20850356143819002 root_relative_squared_error 0.42662220810669704 root_relative_squared_error 0.41852918762116426 root_relative_squared_error 0.439807720589704 root_relative_squared_error 0.5134080507865891 root_relative_squared_error 0.5079894083681544 root_relative_squared_error 0.5251138084755336 root_relative_squared_error 0.4727525119919742 root_relative_squared_error 0.4680901360825842 root_relative_squared_error 0.4653821740786981 root_relative_squared_error 0.43698136372679985 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 0.932260305697082 [0.952756,0.911765] unweighted_recall 0.953989893054413 [0.952756,0.955224] unweighted_recall 0.9131507815254436 [0.96063,0.865672] unweighted_recall 0.8828887060759196 [0.944882,0.820896] unweighted_recall 0.9347161828652015 [0.929134,0.940299] unweighted_recall 0.9005170995416618 [0.905512,0.895522] unweighted_recall 0.9083911152896933 [0.92126,0.895522] unweighted_recall 0.9461158773063815 [0.937008,0.955224] unweighted_recall 0.926937441643324 [0.912698,0.941176] unweighted_recall 0.93265639589169 [0.968254,0.897059] usercpu_time_millis 383.23625799966976 usercpu_time_millis 556.1708400018688 usercpu_time_millis 612.9456819999177 usercpu_time_millis 468.20637800010445 usercpu_time_millis 582.2150200019678 usercpu_time_millis 621.9960679991345 usercpu_time_millis 455.5352929983201 usercpu_time_millis 390.70454399916343 usercpu_time_millis 566.9861569986097 usercpu_time_millis 449.9726659978478 usercpu_time_millis_testing 6.527183999423869 usercpu_time_millis_testing 6.744122001691721 usercpu_time_millis_testing 6.938807000551606 usercpu_time_millis_testing 7.378365000477061 usercpu_time_millis_testing 6.768766001187032 usercpu_time_millis_testing 8.030978999158833 usercpu_time_millis_testing 6.78402299854497 usercpu_time_millis_testing 7.300015999135212 usercpu_time_millis_testing 4.708059999757097 usercpu_time_millis_testing 6.939420998605783 usercpu_time_millis_training 376.7090740002459 usercpu_time_millis_training 549.4267180001771 usercpu_time_millis_training 606.0068749993661 usercpu_time_millis_training 460.8280129996274 usercpu_time_millis_training 575.4462540007808 usercpu_time_millis_training 613.9650889999757 usercpu_time_millis_training 448.7512699997751 usercpu_time_millis_training 383.4045280000282 usercpu_time_millis_training 562.2780969988526 usercpu_time_millis_training 443.033244999242 wall_clock_time_millis 395.0998783111572 wall_clock_time_millis 573.1856822967529 wall_clock_time_millis 626.253604888916 wall_clock_time_millis 489.92085456848145 wall_clock_time_millis 589.4138813018799 wall_clock_time_millis 629.2452812194824 wall_clock_time_millis 468.51301193237305 wall_clock_time_millis 410.9470844268799 wall_clock_time_millis 568.5064792633057 wall_clock_time_millis 455.521821975708 wall_clock_time_millis_testing 6.572961807250977 wall_clock_time_millis_testing 6.856441497802734 wall_clock_time_millis_testing 6.947040557861328 wall_clock_time_millis_testing 7.3909759521484375 wall_clock_time_millis_testing 6.775617599487305 wall_clock_time_millis_testing 8.06570053100586 wall_clock_time_millis_testing 6.8836212158203125 wall_clock_time_millis_testing 7.312774658203125 wall_clock_time_millis_testing 4.715442657470703 wall_clock_time_millis_testing 6.946802139282227 wall_clock_time_millis_training 388.52691650390625 wall_clock_time_millis_training 566.3292407989502 wall_clock_time_millis_training 619.3065643310547 wall_clock_time_millis_training 482.529878616333 wall_clock_time_millis_training 582.6382637023926 wall_clock_time_millis_training 621.1795806884766 wall_clock_time_millis_training 461.62939071655273 wall_clock_time_millis_training 403.63430976867676 wall_clock_time_millis_training 563.791036605835 wall_clock_time_millis_training 448.5750198364258 weighted_recall 0.9384615384615385 [0.952756,0.911765] weighted_recall 0.9536082474226805 [0.952756,0.955224] weighted_recall 0.9278350515463918 [0.96063,0.865672] weighted_recall 0.9020618556701031 [0.944882,0.820896] weighted_recall 0.9329896907216495 [0.929134,0.940299] weighted_recall 0.9020618556701031 [0.905512,0.895522] weighted_recall 0.9123711340206185 [0.92126,0.895522] weighted_recall 0.9432989690721649 [0.937008,0.955224] weighted_recall 0.9226804123711341 [0.912698,0.941176] weighted_recall 0.9432989690721649 [0.968254,0.897059]