10586433 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) 8302715 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 0.03907630220181737 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1629 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 60 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 14 19040 random_state 46717 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.1549705676055016 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 22099135 description https://api.openml.org/data/download/22099135/description.xml -1 22099136 predictions https://api.openml.org/data/download/22099136/predictions.arff area_under_roc_curve 0.9865766688994594 [0.986577,0.986577] average_cost 0 f_measure 0.9477784859600296 [0.906999,0.964083] kappa 0.8711133349796681 kb_relative_information_score 0.7710707123244173 mean_absolute_error 0.10214772761781846 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9481793123458582 [0.884701,0.973559] number_of_instances 34465 [9844,24621] precision 0.9478374837185641 [0.930449,0.95479] predictive_accuracy 0.9481793123458582 prior_entropy 0.8629999933345911 relative_absolute_error 0.2503066054560276 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.19969513216006088 root_relative_squared_error 0.44208635902277843 total_cost 0 unweighted_recall 0.9291302488678385 [0.884701,0.973559] area_under_roc_curve 0.9868243087120274 [0.986824,0.986824] area_under_roc_curve 0.9877162308716861 [0.987716,0.987716] area_under_roc_curve 0.984277773425097 [0.984278,0.984278] area_under_roc_curve 0.9875457203297224 [0.987546,0.987546] area_under_roc_curve 0.9865733772633367 [0.986573,0.986573] area_under_roc_curve 0.9869423778011135 [0.986942,0.986942] area_under_roc_curve 0.9860233269270142 [0.986023,0.986023] area_under_roc_curve 0.9886027784932602 [0.988603,0.988603] area_under_roc_curve 0.9849439116852582 [0.984944,0.984944] area_under_roc_curve 0.9864957516857865 [0.986496,0.986496] 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 0.9494680397916176 [0.91013,0.965184] f_measure 0.9517576202150624 [0.914107,0.966821] f_measure 0.9412902341727347 [0.895693,0.959533] f_measure 0.9526894504135547 [0.915975,0.967378] f_measure 0.9460690029867829 [0.90459,0.962664] f_measure 0.9438716548701199 [0.898995,0.961808] f_measure 0.9483857567134806 [0.908622,0.964279] f_measure 0.954232606395493 [0.91903,0.968302] f_measure 0.9491361071830964 [0.909469,0.96499] f_measure 0.940765573394047 [0.8928,0.959936] kappa 0.8753381092473075 kappa 0.8809579872773202 kappa 0.8552536659933326 kappa 0.8833747623799473 kappa 0.867267247015363 kappa 0.8608900940734368 kappa 0.8729128111483981 kappa 0.8873423325310877 kappa 0.8744870456256223 kappa 0.852871491804386 kb_relative_information_score 0.7704070985755972 kb_relative_information_score 0.7774716181234982 kb_relative_information_score 0.7596378978947393 kb_relative_information_score 0.7778128614390387 kb_relative_information_score 0.7696889171134076 kb_relative_information_score 0.7627715344620083 kb_relative_information_score 0.7729795861355033 kb_relative_information_score 0.7842912866084804 kb_relative_information_score 0.7715921071717783 kb_relative_information_score 0.7640541243413314 mean_absolute_error 0.10291228535976331 mean_absolute_error 0.10013049029894981 mean_absolute_error 0.10608316340338404 mean_absolute_error 0.10048728667946052 mean_absolute_error 0.1025354015489835 mean_absolute_error 0.10453542034492586 mean_absolute_error 0.10157264564704056 mean_absolute_error 0.09687738715340936 mean_absolute_error 0.10188187491085889 mean_absolute_error 0.1044609116645336 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 0.949487353644714 [0.930925,0.956903] precision 0.9518571766630699 [0.938034,0.957387] precision 0.9412497982199942 [0.916136,0.951297] precision 0.9527236844341198 [0.936373,0.959265] precision 0.9459938682485495 [0.919287,0.956679] precision 0.9443484546950178 [0.937155,0.947223] precision 0.9483222909208013 [0.9234,0.958283] precision 0.9541901457383575 [0.932984,0.962666] precision 0.9491813555162844 [0.93177,0.95614] precision 0.9415886016526823 [0.939394,0.942466] predictive_accuracy 0.9498114302291847 predictive_accuracy 0.9521322889469104 predictive_accuracy 0.9416884247171454 predictive_accuracy 0.9530026109660574 predictive_accuracy 0.9463301421525965 predictive_accuracy 0.944573418456181 predictive_accuracy 0.9486360998258851 predictive_accuracy 0.9544399303540336 predictive_accuracy 0.9495066744051074 predictive_accuracy 0.9416715031921068 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 0.2522218332630618 relative_absolute_error 0.24532930727198854 relative_absolute_error 0.2599139274487936 relative_absolute_error 0.2462034926335753 relative_absolute_error 0.2512215705502356 relative_absolute_error 0.2561775833333631 relative_absolute_error 0.2489169203010522 relative_absolute_error 0.2374105813964488 relative_absolute_error 0.24967472665261747 relative_absolute_error 0.2559949901642989 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 0.19838220511923693 root_mean_squared_error 0.19512228411299884 root_mean_squared_error 0.2084056372193223 root_mean_squared_error 0.1941219428114607 root_mean_squared_error 0.20034477518190177 root_mean_squared_error 0.20462051631076836 root_mean_squared_error 0.19742155358004715 root_mean_squared_error 0.19211963503967527 root_mean_squared_error 0.1986946555949258 root_mean_squared_error 0.2070382705141902 root_relative_squared_error 0.4392524685842457 root_relative_squared_error 0.4319027802512225 root_relative_squared_error 0.46130545541854134 root_relative_squared_error 0.429688526808575 root_relative_squared_error 0.44346275364303706 root_relative_squared_error 0.4530257287925389 root_relative_squared_error 0.4370873693531454 root_relative_squared_error 0.42534902779260153 root_relative_squared_error 0.4399059917401679 root_relative_squared_error 0.4583785882212723 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 0.9319266609231257 [0.890244,0.973609] unweighted_recall 0.9339062377580853 [0.891371,0.976442] unweighted_recall 0.9220271992148681 [0.876142,0.967912] unweighted_recall 0.9360381349816707 [0.896447,0.97563] unweighted_recall 0.9295399720420441 [0.890355,0.968725] unweighted_recall 0.9203346145971614 [0.863821,0.976848] unweighted_recall 0.9323291262969494 [0.894309,0.970349] unweighted_recall 0.9397463394820789 [0.905488,0.974005] unweighted_recall 0.9311081280999649 [0.888211,0.974005] unweighted_recall 0.9143381843038576 [0.85061,0.978067] usercpu_time_millis 37125.6281269998 usercpu_time_millis 37660.014372999285 usercpu_time_millis 36932.01625800066 usercpu_time_millis 37478.9005870025 usercpu_time_millis 36782.95574799995 usercpu_time_millis 37201.07403200018 usercpu_time_millis 37061.72487600088 usercpu_time_millis 37491.92836200018 usercpu_time_millis 36433.137391000855 usercpu_time_millis 35873.09602699861 usercpu_time_millis_testing 78.08078400012164 usercpu_time_millis_testing 77.834059999077 usercpu_time_millis_testing 78.76300700081629 usercpu_time_millis_testing 79.7625440009142 usercpu_time_millis_testing 77.0529979999992 usercpu_time_millis_testing 78.15322500027833 usercpu_time_millis_testing 77.36088599995128 usercpu_time_millis_testing 76.83736299986776 usercpu_time_millis_testing 78.32673200027784 usercpu_time_millis_testing 45.28078699877369 usercpu_time_millis_training 37047.54734299968 usercpu_time_millis_training 37582.18031300021 usercpu_time_millis_training 36853.25325099984 usercpu_time_millis_training 37399.138043001585 usercpu_time_millis_training 36705.90274999995 usercpu_time_millis_training 37122.9208069999 usercpu_time_millis_training 36984.36399000093 usercpu_time_millis_training 37415.09099900031 usercpu_time_millis_training 36354.81065900058 usercpu_time_millis_training 35827.815239999836 wall_clock_time_millis 37742.098569869995 wall_clock_time_millis 38441.86997413635 wall_clock_time_millis 37490.32735824585 wall_clock_time_millis 38277.77814865112 wall_clock_time_millis 37420.246839523315 wall_clock_time_millis 37883.01706314087 wall_clock_time_millis 37787.31346130371 wall_clock_time_millis 38127.744913101196 wall_clock_time_millis 37069.018602371216 wall_clock_time_millis 36478.35659980774 wall_clock_time_millis_testing 79.77104187011719 wall_clock_time_millis_testing 78.5064697265625 wall_clock_time_millis_testing 81.78353309631348 wall_clock_time_millis_testing 81.21919631958008 wall_clock_time_millis_testing 77.65626907348633 wall_clock_time_millis_testing 79.24580574035645 wall_clock_time_millis_testing 78.8733959197998 wall_clock_time_millis_testing 80.14059066772461 wall_clock_time_millis_testing 78.36246490478516 wall_clock_time_millis_testing 45.39346694946289 wall_clock_time_millis_training 37662.32752799988 wall_clock_time_millis_training 38363.36350440979 wall_clock_time_millis_training 37408.543825149536 wall_clock_time_millis_training 38196.55895233154 wall_clock_time_millis_training 37342.59057044983 wall_clock_time_millis_training 37803.77125740051 wall_clock_time_millis_training 37708.44006538391 wall_clock_time_millis_training 38047.60432243347 wall_clock_time_millis_training 36990.65613746643 wall_clock_time_millis_training 36432.96313285828 weighted_recall 0.9498114302291848 [0.890244,0.973609] weighted_recall 0.9521322889469104 [0.891371,0.976442] weighted_recall 0.9416884247171453 [0.876142,0.967912] weighted_recall 0.9530026109660574 [0.896447,0.97563] weighted_recall 0.9463301421525965 [0.890355,0.968725] weighted_recall 0.944573418456181 [0.863821,0.976848] weighted_recall 0.948636099825885 [0.894309,0.970349] weighted_recall 0.9544399303540336 [0.905488,0.974005] weighted_recall 0.9495066744051074 [0.888211,0.974005] weighted_recall 0.9416715031921068 [0.85061,0.978067]