10586579 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) 8302861 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 0.8940943653093533 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 691 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 78 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 18 19040 random_state 27239 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.15090842951642133 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 22099429 description https://api.openml.org/data/download/22099429/description.xml -1 22099430 predictions https://api.openml.org/data/download/22099430/predictions.arff area_under_roc_curve 0.9928065383443808 [0.992807,0.992807] average_cost 0 f_measure 0.9651887548478023 [0.938853,0.975719] kappa 0.9145719204931322 kb_relative_information_score 0.8861586702260474 mean_absolute_error 0.04628774887252106 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9652400986508052 [0.934275,0.977621] number_of_instances 34465 [9844,24621] precision 0.9651555660078515 [0.943476,0.973824] predictive_accuracy 0.9652400986508052 prior_entropy 0.8629999933345911 relative_absolute_error 0.11342522799754137 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.16289494467784893 root_relative_squared_error 0.36061786893296094 total_cost 0 unweighted_recall 0.955947707679135 [0.934275,0.977621] area_under_roc_curve 0.9935154101845525 [0.993515,0.993515] area_under_roc_curve 0.9939812046662571 [0.993981,0.993981] area_under_roc_curve 0.9904227506834853 [0.990423,0.990423] area_under_roc_curve 0.9936228644946332 [0.993623,0.993623] area_under_roc_curve 0.9931082401745104 [0.993108,0.993108] area_under_roc_curve 0.992477734738761 [0.992478,0.992478] area_under_roc_curve 0.9925148847853222 [0.992515,0.992515] area_under_roc_curve 0.994224406094589 [0.994224,0.994224] area_under_roc_curve 0.9919130540310277 [0.991913,0.991913] area_under_roc_curve 0.992506010051977 [0.992506,0.992506] 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 0.9654078788732277 [0.93913,0.975906] f_measure 0.9642674643386134 [0.937277,0.975066] f_measure 0.960484734678883 [0.930612,0.972436] f_measure 0.9669075412584852 [0.942014,0.976867] f_measure 0.9643438304313017 [0.937722,0.974995] f_measure 0.9665504939720818 [0.941116,0.976716] f_measure 0.9634691319934121 [0.93617,0.97438] f_measure 0.9688578336717841 [0.9451,0.978353] f_measure 0.968039676002604 [0.943878,0.977697] f_measure 0.9635609923530998 [0.935534,0.974763] kappa 0.9150379756903385 kappa 0.9123435163444286 kappa 0.9030494046991234 kappa 0.9188812591965043 kappa 0.9127166612626801 kappa 0.9178340824449942 kappa 0.9105503736647327 kappa 0.9234561463309928 kappa 0.9215747450237846 kappa 0.9103044048814394 kb_relative_information_score 0.887334626469069 kb_relative_information_score 0.8854752225957762 kb_relative_information_score 0.8739099195225034 kb_relative_information_score 0.8888020748765125 kb_relative_information_score 0.8842786801239345 kb_relative_information_score 0.8881032062273819 kb_relative_information_score 0.8832827545885131 kb_relative_information_score 0.8944466361621735 kb_relative_information_score 0.8912409839610447 kb_relative_information_score 0.8847198037459892 mean_absolute_error 0.04559142950362991 mean_absolute_error 0.0467321911168885 mean_absolute_error 0.05122852600150499 mean_absolute_error 0.045678837181180154 mean_absolute_error 0.047096613371378514 mean_absolute_error 0.04532872059850506 mean_absolute_error 0.0469065650685927 mean_absolute_error 0.04311084711410308 mean_absolute_error 0.044450447005627794 mean_absolute_error 0.04675189306014296 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 0.965371902785322 [0.945417,0.973344] precision 0.9642340509871131 [0.941598,0.97329] precision 0.9604436186821038 [0.935385,0.970469] precision 0.9668904672418774 [0.943935,0.976075] precision 0.9643757375117978 [0.935354,0.975987] precision 0.9665175935891058 [0.9484,0.973759] precision 0.9635094080660012 [0.933333,0.97557] precision 0.9688381153522218 [0.954404,0.974607] precision 0.9680130761260951 [0.947746,0.976113] precision 0.9635632140205047 [0.949738,0.969089] predictive_accuracy 0.9654772265738323 predictive_accuracy 0.9643167972149694 predictive_accuracy 0.9605454017986655 predictive_accuracy 0.9669277632724108 predictive_accuracy 0.9643167972149694 predictive_accuracy 0.9666279744631457 predictive_accuracy 0.963435867672664 predictive_accuracy 0.9689495066744052 predictive_accuracy 0.9680789320951828 predictive_accuracy 0.9637260591990714 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 0.1117374265889651 relative_absolute_error 0.11449835149892076 relative_absolute_error 0.1255148033230602 relative_absolute_error 0.11191753330270483 relative_absolute_error 0.11539122098334662 relative_absolute_error 0.11108389922002088 relative_absolute_error 0.11495061140130099 relative_absolute_error 0.10564871306495012 relative_absolute_error 0.10893157605734151 relative_absolute_error 0.11457156761687626 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 0.16037118395634564 root_mean_squared_error 0.1617242418644205 root_mean_squared_error 0.1730615864604089 root_mean_squared_error 0.1600520965438515 root_mean_squared_error 0.16616483760419062 root_mean_squared_error 0.16281471980491952 root_mean_squared_error 0.1648780949134126 root_mean_squared_error 0.1552556132272636 root_mean_squared_error 0.1592818825966255 root_mean_squared_error 0.16470309867408525 root_relative_squared_error 0.35508950210661894 root_relative_squared_error 0.357976281452371 root_relative_squared_error 0.3830714707278195 root_relative_squared_error 0.3542749911757587 root_relative_squared_error 0.36780553111853287 root_relative_squared_error 0.36046853183458133 root_relative_squared_error 0.3650368030380309 root_relative_squared_error 0.34373282112431164 root_relative_squared_error 0.3526469009451251 root_relative_squared_error 0.36464936486571764 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 0.9557041779309389 [0.932927,0.978482] unweighted_recall 0.9549215074204043 [0.932995,0.976848] unweighted_recall 0.950149686400805 [0.925888,0.974411] unweighted_recall 0.9588809807551947 [0.940102,0.97766] unweighted_recall 0.9570531984643742 [0.940102,0.974005] unweighted_recall 0.9568171986553334 [0.933943,0.979691] unweighted_recall 0.956108458322601 [0.939024,0.973193] unweighted_recall 0.9590519803451487 [0.935976,0.982128] unweighted_recall 0.959662892221936 [0.940041,0.979285] unweighted_recall 0.9511258115221282 [0.921748,0.980504] usercpu_time_millis 31224.124779000704 usercpu_time_millis 25902.700349000952 usercpu_time_millis 25020.72819299792 usercpu_time_millis 31467.36065499499 usercpu_time_millis 25381.002338002872 usercpu_time_millis 35413.492117000715 usercpu_time_millis 31356.144084002153 usercpu_time_millis 25941.84197499999 usercpu_time_millis 34791.117243999906 usercpu_time_millis 21745.238987001358 usercpu_time_millis_testing 74.04549599959864 usercpu_time_millis_testing 73.91699000072549 usercpu_time_millis_testing 72.65155599816353 usercpu_time_millis_testing 75.79065299796639 usercpu_time_millis_testing 71.1830979998922 usercpu_time_millis_testing 70.04489099927014 usercpu_time_millis_testing 74.1423700019368 usercpu_time_millis_testing 73.92588299990166 usercpu_time_millis_testing 73.51438299883739 usercpu_time_millis_testing 40.110742000251776 usercpu_time_millis_training 31150.079283001105 usercpu_time_millis_training 25828.783359000226 usercpu_time_millis_training 24948.07663699976 usercpu_time_millis_training 31391.570001997025 usercpu_time_millis_training 25309.81924000298 usercpu_time_millis_training 35343.447226001445 usercpu_time_millis_training 31282.001714000216 usercpu_time_millis_training 25867.916092000087 usercpu_time_millis_training 34717.60286100107 usercpu_time_millis_training 21705.128245001106 wall_clock_time_millis 31692.73853302002 wall_clock_time_millis 26408.15496444702 wall_clock_time_millis 25355.042934417725 wall_clock_time_millis 32054.81266975403 wall_clock_time_millis 25796.676874160767 wall_clock_time_millis 36087.96429634094 wall_clock_time_millis 31818.732023239136 wall_clock_time_millis 26373.01754951477 wall_clock_time_millis 35319.69404220581 wall_clock_time_millis 22073.299646377563 wall_clock_time_millis_testing 74.23901557922363 wall_clock_time_millis_testing 73.96841049194336 wall_clock_time_millis_testing 72.72720336914062 wall_clock_time_millis_testing 75.87814331054688 wall_clock_time_millis_testing 71.36178016662598 wall_clock_time_millis_testing 70.24693489074707 wall_clock_time_millis_testing 74.30863380432129 wall_clock_time_millis_testing 74.41401481628418 wall_clock_time_millis_testing 74.71513748168945 wall_clock_time_millis_testing 40.18545150756836 wall_clock_time_millis_training 31618.499517440796 wall_clock_time_millis_training 26334.186553955078 wall_clock_time_millis_training 25282.315731048584 wall_clock_time_millis_training 31978.93452644348 wall_clock_time_millis_training 25725.31509399414 wall_clock_time_millis_training 36017.717361450195 wall_clock_time_millis_training 31744.423389434814 wall_clock_time_millis_training 26298.603534698486 wall_clock_time_millis_training 35244.97890472412 wall_clock_time_millis_training 22033.114194869995 weighted_recall 0.9654772265738323 [0.932927,0.978482] weighted_recall 0.9643167972149695 [0.932995,0.976848] weighted_recall 0.9605454017986655 [0.925888,0.974411] weighted_recall 0.9669277632724108 [0.940102,0.97766] weighted_recall 0.9643167972149695 [0.940102,0.974005] weighted_recall 0.9666279744631456 [0.933943,0.979691] weighted_recall 0.963435867672664 [0.939024,0.973193] weighted_recall 0.9689495066744052 [0.935976,0.982128] weighted_recall 0.9680789320951828 [0.940041,0.979285] weighted_recall 0.9637260591990714 [0.921748,0.980504]