10586620 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) 8302902 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 0.11145963477125768 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1730 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 94 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 7 19040 random_state 56188 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.19192474727054687 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 22099511 description https://api.openml.org/data/download/22099511/description.xml -1 22099512 predictions https://api.openml.org/data/download/22099512/predictions.arff area_under_roc_curve 0.9911299427727436 [0.99113,0.99113] average_cost 0 f_measure 0.957846528971377 [0.925877,0.970629] kappa 0.8965071484367138 kb_relative_information_score 0.8365279337839117 mean_absolute_error 0.0702501651179269 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9579283330915421 [0.919951,0.973112] number_of_instances 34465 [9844,24621] precision 0.9577957021645068 [0.931879,0.968158] predictive_accuracy 0.9579283330915422 prior_entropy 0.8629999933345911 relative_absolute_error 0.17214362740582773 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.17678223495490092 root_relative_squared_error 0.3913616408460062 total_cost 0 unweighted_recall 0.9465318115355321 [0.919951,0.973112] area_under_roc_curve 0.9912012830542435 [0.991201,0.991201] area_under_roc_curve 0.9916111699868456 [0.991611,0.991611] area_under_roc_curve 0.9892768043809045 [0.989277,0.989277] area_under_roc_curve 0.9924795985270528 [0.99248,0.99248] area_under_roc_curve 0.9912212843340603 [0.991221,0.991221] area_under_roc_curve 0.9913353708069981 [0.991335,0.991335] area_under_roc_curve 0.9905667776214724 [0.990567,0.990567] area_under_roc_curve 0.9927299422770832 [0.99273,0.99273] area_under_roc_curve 0.9899277968206165 [0.989928,0.989928] area_under_roc_curve 0.9913219555124065 [0.991322,0.991322] 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 0.9581989493294741 [0.92668,0.970791] f_measure 0.9587414141500102 [0.927551,0.97122] f_measure 0.9544600759898701 [0.920345,0.968109] f_measure 0.9624181760173123 [0.933608,0.973945] f_measure 0.9567542029243028 [0.92425,0.969758] f_measure 0.9530362857222175 [0.916796,0.967521] f_measure 0.9597182602983834 [0.929691,0.971719] f_measure 0.9610665144031723 [0.931633,0.97283] f_measure 0.9590390086482162 [0.928098,0.971405] f_measure 0.9549974027313854 [0.919958,0.969002] kappa 0.8974714888744024 kappa 0.8987721725534964 kappa 0.8884538907337493 kappa 0.9075594858574201 kappa 0.8940086992429797 kappa 0.8843296760390307 kappa 0.9014115003793338 kappa 0.9044637803017013 kappa 0.8995038129256837 kappa 0.88898251615419 kb_relative_information_score 0.8375086635608819 kb_relative_information_score 0.8396239561474154 kb_relative_information_score 0.8270536386965627 kb_relative_information_score 0.8414084594059709 kb_relative_information_score 0.8352473341894238 kb_relative_information_score 0.8301831673899238 kb_relative_information_score 0.8377142878129594 kb_relative_information_score 0.8460836558681589 kb_relative_information_score 0.8372277870058175 kb_relative_information_score 0.8332299167872707 mean_absolute_error 0.06996808619617285 mean_absolute_error 0.0690194322407787 mean_absolute_error 0.07417833529158152 mean_absolute_error 0.06900346789392399 mean_absolute_error 0.0710693592938156 mean_absolute_error 0.07228533794525405 mean_absolute_error 0.06982776763305075 mean_absolute_error 0.06603466300120624 mean_absolute_error 0.06995342494646926 mean_absolute_error 0.07116119987824357 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 0.9581764634465508 [0.928571,0.970004] precision 0.9586975689842682 [0.932308,0.969256] precision 0.9544671967713075 [0.919878,0.968306] precision 0.9624046282045569 [0.946764,0.968662] precision 0.9567361417674461 [0.925662,0.969168] precision 0.9530070068898981 [0.932702,0.961122] precision 0.9597888019078479 [0.925478,0.973502] precision 0.9610312147624919 [0.935451,0.971255] precision 0.9590045735918243 [0.931423,0.970028] precision 0.9550678352197007 [0.941489,0.960495] predictive_accuracy 0.95822454308094 predictive_accuracy 0.9588047577603713 predictive_accuracy 0.954453147664636 predictive_accuracy 0.9625761531766754 predictive_accuracy 0.9567740063823615 predictive_accuracy 0.953279164248404 predictive_accuracy 0.9596633778293673 predictive_accuracy 0.9611143354614045 predictive_accuracy 0.9590829947765525 predictive_accuracy 0.955310504933256 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 0.17148078005083797 relative_absolute_error 0.16910423038359754 relative_absolute_error 0.1817440377785093 relative_absolute_error 0.16906511620226056 relative_absolute_error 0.17412674832371916 relative_absolute_error 0.17714458050820373 relative_absolute_error 0.17112198623944092 relative_absolute_error 0.1618264921886182 relative_absolute_error 0.1714299257567213 relative_absolute_error 0.17438973461587778 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 0.17553623328175294 root_mean_squared_error 0.17491758453907938 root_mean_squared_error 0.18399546414715154 root_mean_squared_error 0.17049150699541601 root_mean_squared_error 0.17794645024625025 root_mean_squared_error 0.181359649362866 root_mean_squared_error 0.17570961359899473 root_mean_squared_error 0.17100683584931833 root_mean_squared_error 0.17546509271806834 root_mean_squared_error 0.18090710507073285 root_relative_squared_error 0.3886675407637821 root_relative_squared_error 0.3871797187117068 root_relative_squared_error 0.4072735868177283 root_relative_squared_error 0.37738260504318993 root_relative_squared_error 0.39388410681315555 root_relative_squared_error 0.40152663480425344 root_relative_squared_error 0.3890175686764744 root_relative_squared_error 0.37860571283812433 root_relative_squared_error 0.3884762043388024 root_relative_squared_error 0.4005247107965789 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 0.9481880613568621 [0.924797,0.971579] unweighted_recall 0.9480175829976042 [0.922843,0.973193] unweighted_recall 0.9443622245955787 [0.920812,0.967912] unweighted_recall 0.9500486583892424 [0.920812,0.979285] unweighted_recall 0.9465959745491883 [0.922843,0.970349] unweighted_recall 0.9377138191568755 [0.901423,0.974005] unweighted_recall 0.9519431125464788 [0.933943,0.969943] unweighted_recall 0.951128288191899 [0.927846,0.974411] unweighted_recall 0.9487915502631874 [0.924797,0.972786] unweighted_recall 0.9385253412850945 [0.89939,0.97766] usercpu_time_millis 35588.11511499516 usercpu_time_millis 32997.125658002915 usercpu_time_millis 34285.26706900084 usercpu_time_millis 36853.115733996674 usercpu_time_millis 33177.40983699696 usercpu_time_millis 35514.582212003006 usercpu_time_millis 32328.53572300155 usercpu_time_millis 34988.24328500268 usercpu_time_millis 33768.46469299562 usercpu_time_millis 32113.85044800045 usercpu_time_millis_testing 76.6743639978813 usercpu_time_millis_testing 79.01658500122721 usercpu_time_millis_testing 79.31898300012108 usercpu_time_millis_testing 80.5453809989558 usercpu_time_millis_testing 78.40217199918698 usercpu_time_millis_testing 78.35161900220555 usercpu_time_millis_testing 77.9450670015649 usercpu_time_millis_testing 76.93040300000575 usercpu_time_millis_testing 79.00722399790538 usercpu_time_millis_testing 46.045641000091564 usercpu_time_millis_training 35511.44075099728 usercpu_time_millis_training 32918.10907300169 usercpu_time_millis_training 34205.94808600072 usercpu_time_millis_training 36772.57035299772 usercpu_time_millis_training 33099.00766499777 usercpu_time_millis_training 35436.2305930008 usercpu_time_millis_training 32250.590655999986 usercpu_time_millis_training 34911.312882002676 usercpu_time_millis_training 33689.457468997716 usercpu_time_millis_training 32067.804807000357 wall_clock_time_millis 36207.303285598755 wall_clock_time_millis 33551.19252204895 wall_clock_time_millis 34984.21311378479 wall_clock_time_millis 37447.25728034973 wall_clock_time_millis 33685.27150154114 wall_clock_time_millis 36197.03006744385 wall_clock_time_millis 32781.1541557312 wall_clock_time_millis 35650.62427520752 wall_clock_time_millis 34283.16020965576 wall_clock_time_millis 32634.0069770813 wall_clock_time_millis_testing 76.94149017333984 wall_clock_time_millis_testing 80.82818984985352 wall_clock_time_millis_testing 85.87217330932617 wall_clock_time_millis_testing 84.36346054077148 wall_clock_time_millis_testing 78.59396934509277 wall_clock_time_millis_testing 80.14178276062012 wall_clock_time_millis_testing 78.19604873657227 wall_clock_time_millis_testing 80.75952529907227 wall_clock_time_millis_testing 79.02193069458008 wall_clock_time_millis_testing 46.11086845397949 wall_clock_time_millis_training 36130.361795425415 wall_clock_time_millis_training 33470.3643321991 wall_clock_time_millis_training 34898.340940475464 wall_clock_time_millis_training 37362.89381980896 wall_clock_time_millis_training 33606.677532196045 wall_clock_time_millis_training 36116.88828468323 wall_clock_time_millis_training 32702.95810699463 wall_clock_time_millis_training 35569.86474990845 wall_clock_time_millis_training 34204.13827896118 wall_clock_time_millis_training 32587.89610862732 weighted_recall 0.95822454308094 [0.924797,0.971579] weighted_recall 0.9588047577603713 [0.922843,0.973193] weighted_recall 0.954453147664636 [0.920812,0.967912] weighted_recall 0.9625761531766753 [0.920812,0.979285] weighted_recall 0.9567740063823614 [0.922843,0.970349] weighted_recall 0.953279164248404 [0.901423,0.974005] weighted_recall 0.9596633778293674 [0.933943,0.969943] weighted_recall 0.9611143354614046 [0.927846,0.974411] weighted_recall 0.9590829947765526 [0.924797,0.972786] weighted_recall 0.955310504933256 [0.89939,0.97766]