10586518 28997 Marc Boel 9977 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) 8302800 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 0.4005968526245245 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1716 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 112 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 12 19040 random_state 50535 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.04049278537675822 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 22099306 description https://api.openml.org/data/download/22099306/description.xml -1 22099307 predictions https://api.openml.org/data/download/22099307/predictions.arff area_under_roc_curve 0.9939376333265949 [0.993938,0.993938] average_cost 0 f_measure 0.9659642530184908 [0.940295,0.976227] kappa 0.9165229368229493 kb_relative_information_score 0.8777110639732955 mean_absolute_error 0.05150238140412436 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9659944871608879 [0.937525,0.977377] number_of_instances 34465 [9844,24621] precision 0.9659406386688801 [0.943082,0.97508] predictive_accuracy 0.9659944871608879 prior_entropy 0.8629999933345911 relative_absolute_error 0.12620335824210013 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.15862669406056656 root_relative_squared_error 0.35116878845523225 total_cost 0 unweighted_recall 0.9574512160220541 [0.937525,0.977377] area_under_roc_curve 0.9942632670845587 [0.994263,0.994263] area_under_roc_curve 0.9944929424717638 [0.994493,0.994493] area_under_roc_curve 0.992583719232847 [0.992584,0.992584] area_under_roc_curve 0.9952500340196365 [0.99525,0.99525] area_under_roc_curve 0.9940253271039599 [0.994025,0.994025] area_under_roc_curve 0.9939893288555145 [0.993989,0.993989] area_under_roc_curve 0.9931612955954906 [0.993161,0.993161] area_under_roc_curve 0.9953409713829063 [0.995341,0.995341] area_under_roc_curve 0.9926156026893331 [0.992616,0.992616] area_under_roc_curve 0.9938386647777931 [0.993839,0.993839] 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 0.9671927410012798 [0.942435,0.977084] f_measure 0.9642894973396782 [0.937405,0.975046] f_measure 0.9626045050864871 [0.934684,0.973775] f_measure 0.9692298190649071 [0.946083,0.97849] f_measure 0.9683927019940668 [0.944754,0.97785] f_measure 0.9648490783435046 [0.938297,0.975461] f_measure 0.9643335291130476 [0.937658,0.974995] f_measure 0.9700781410692644 [0.947476,0.979112] f_measure 0.9659794075327891 [0.940153,0.976301] f_measure 0.9626804566248548 [0.933953,0.974162] kappa 0.9195190120891634 kappa 0.9124504543384913 kappa 0.9084589374218351 kappa 0.9245738024107847 kappa 0.9226042836740878 kappa 0.9137585912340974 kappa 0.9126535309068983 kappa 0.9265878917116696 kappa 0.9164563131138362 kappa 0.9081234341399362 kb_relative_information_score 0.8792759009408155 kb_relative_information_score 0.8763561804545559 kb_relative_information_score 0.8670197625107697 kb_relative_information_score 0.883249592403636 kb_relative_information_score 0.8812878199571861 kb_relative_information_score 0.8749383894948031 kb_relative_information_score 0.8732335859539478 kb_relative_information_score 0.8872264619272535 kb_relative_information_score 0.8784597651098527 kb_relative_information_score 0.8760647074262902 mean_absolute_error 0.0511543225502992 mean_absolute_error 0.051884809693167847 mean_absolute_error 0.05520165097155464 mean_absolute_error 0.049914795106607 mean_absolute_error 0.050427305471634286 mean_absolute_error 0.052555972612037094 mean_absolute_error 0.05258999531352544 mean_absolute_error 0.0475170037191658 mean_absolute_error 0.05136787191365184 mean_absolute_error 0.05240977590121594 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9671725379633556 [0.944842,0.976094] precision 0.9642670994467336 [0.939796,0.974058] precision 0.9626377179321769 [0.932323,0.974766] precision 0.9692141752917192 [0.948012,0.977697] precision 0.968408871498335 [0.94332,0.978447] precision 0.9648209683516631 [0.941658,0.974079] precision 0.9643654944952386 [0.935288,0.975987] precision 0.9700557236355178 [0.95087,0.977724] precision 0.965944638608836 [0.946447,0.973737] precision 0.9626843188727624 [0.948637,0.968299] predictive_accuracy 0.9672178706121265 predictive_accuracy 0.9643167972149694 predictive_accuracy 0.9625761531766754 predictive_accuracy 0.9692486219901363 predictive_accuracy 0.9683782999709892 predictive_accuracy 0.9648868253047012 predictive_accuracy 0.9643064422518863 predictive_accuracy 0.9701102727800348 predictive_accuracy 0.9660475914103308 predictive_accuracy 0.9628554846198492 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 relative_absolute_error 0.12537120294105303 relative_absolute_error 0.1271227613283476 relative_absolute_error 0.13524934066225808 relative_absolute_error 0.12229603659751151 relative_absolute_error 0.1235517361596176 relative_absolute_error 0.12879521610054548 relative_absolute_error 0.1288785931359752 relative_absolute_error 0.11644657035723288 relative_absolute_error 0.1258836214978287 relative_absolute_error 0.12843694213038426 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.15615583011418283 root_mean_squared_error 0.15961452375585639 root_mean_squared_error 0.16633273468453683 root_mean_squared_error 0.1515650616020292 root_mean_squared_error 0.15702488901131986 root_mean_squared_error 0.1617315802607286 root_mean_squared_error 0.16311516889774894 root_mean_squared_error 0.14970921520788955 root_mean_squared_error 0.15914050079657857 root_mean_squared_error 0.16113801103987108 root_relative_squared_error 0.3457559805842969 root_relative_squared_error 0.3533064246967607 root_relative_squared_error 0.3681771709654486 root_relative_squared_error 0.3354889565404757 root_relative_squared_error 0.3475742734405117 root_relative_squared_error 0.3580704825566396 root_relative_squared_error 0.3611337201143205 root_relative_squared_error 0.33145320688912755 root_relative_squared_error 0.35233388446877634 root_relative_squared_error 0.3567563321785836 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 0.9590580840339463 [0.940041,0.978076] unweighted_recall 0.9555305620043957 [0.935025,0.976036] unweighted_recall 0.9549210950611735 [0.937056,0.972786] unweighted_recall 0.9617237852927957 [0.944162,0.979285] unweighted_recall 0.9617235791131802 [0.946193,0.977254] unweighted_recall 0.9559037202882184 [0.934959,0.976848] unweighted_recall 0.9570227622463064 [0.940041,0.974005] unweighted_recall 0.9623046733107461 [0.944106,0.980504] unweighted_recall 0.956411024812929 [0.933943,0.978879] unweighted_recall 0.9499064644383244 [0.919715,0.980097] usercpu_time_millis 42527.16881000015 usercpu_time_millis 42364.91023299823 usercpu_time_millis 42329.504733999784 usercpu_time_millis 42644.36512999964 usercpu_time_millis 41708.41963500061 usercpu_time_millis 42068.14174899773 usercpu_time_millis 42720.270187001006 usercpu_time_millis 43099.4610839989 usercpu_time_millis 40016.39358900138 usercpu_time_millis 36384.61061400085 usercpu_time_millis_testing 80.29020899994066 usercpu_time_millis_testing 75.80044899805216 usercpu_time_millis_testing 75.18624300064403 usercpu_time_millis_testing 76.7827039999247 usercpu_time_millis_testing 76.44303100096295 usercpu_time_millis_testing 74.08570899860933 usercpu_time_millis_testing 75.90535700001055 usercpu_time_millis_testing 77.86674899762147 usercpu_time_millis_testing 42.622261000360595 usercpu_time_millis_testing 73.21815300019807 usercpu_time_millis_training 42446.87860100021 usercpu_time_millis_training 42289.109784000175 usercpu_time_millis_training 42254.31849099914 usercpu_time_millis_training 42567.58242599972 usercpu_time_millis_training 41631.97660399965 usercpu_time_millis_training 41994.05603999912 usercpu_time_millis_training 42644.364830000995 usercpu_time_millis_training 43021.59433500128 usercpu_time_millis_training 39973.77132800102 usercpu_time_millis_training 36311.39246100065 wall_clock_time_millis 43270.69902420044 wall_clock_time_millis 43188.02309036255 wall_clock_time_millis 43139.91069793701 wall_clock_time_millis 43363.13199996948 wall_clock_time_millis 42498.63338470459 wall_clock_time_millis 42880.73134422302 wall_clock_time_millis 43514.5206451416 wall_clock_time_millis 43887.58611679077 wall_clock_time_millis 40744.714975357056 wall_clock_time_millis 36993.97087097168 wall_clock_time_millis_testing 82.22055435180664 wall_clock_time_millis_testing 76.94530487060547 wall_clock_time_millis_testing 75.29997825622559 wall_clock_time_millis_testing 76.8289566040039 wall_clock_time_millis_testing 76.81155204772949 wall_clock_time_millis_testing 74.60379600524902 wall_clock_time_millis_testing 75.97780227661133 wall_clock_time_millis_testing 77.95500755310059 wall_clock_time_millis_testing 42.841434478759766 wall_clock_time_millis_testing 74.29218292236328 wall_clock_time_millis_training 43188.47846984863 wall_clock_time_millis_training 43111.07778549194 wall_clock_time_millis_training 43064.610719680786 wall_clock_time_millis_training 43286.30304336548 wall_clock_time_millis_training 42421.82183265686 wall_clock_time_millis_training 42806.12754821777 wall_clock_time_millis_training 43438.54284286499 wall_clock_time_millis_training 43809.63110923767 wall_clock_time_millis_training 40701.873540878296 wall_clock_time_millis_training 36919.67868804932 weighted_recall 0.9672178706121265 [0.940041,0.978076] weighted_recall 0.9643167972149695 [0.935025,0.976036] weighted_recall 0.9625761531766753 [0.937056,0.972786] weighted_recall 0.9692486219901364 [0.944162,0.979285] weighted_recall 0.9683782999709892 [0.946193,0.977254] weighted_recall 0.9648868253047012 [0.934959,0.976848] weighted_recall 0.9643064422518862 [0.940041,0.974005] weighted_recall 0.9701102727800348 [0.944106,0.980504] weighted_recall 0.9660475914103308 [0.933943,0.978879] weighted_recall 0.9628554846198492 [0.919715,0.980097]