10586388 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) 8302670 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 0.12056239871854686 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 762 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 90 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 17 19040 random_state 19579 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2650851096026793 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 22099044 description https://api.openml.org/data/download/22099044/description.xml -1 22099045 predictions https://api.openml.org/data/download/22099045/predictions.arff area_under_roc_curve 0.9913367368526693 [0.991337,0.991337] average_cost 0 f_measure 0.9580554867603012 [0.92615,0.970812] kappa 0.8969646321613362 kb_relative_information_score 0.8412902952901606 mean_absolute_error 0.06795240512538242 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.958160452633106 [0.918529,0.974006] number_of_instances 34465 [9844,24621] precision 0.9580018550209626 [0.933898,0.967639] predictive_accuracy 0.958160452633106 prior_entropy 0.8629999933345911 relative_absolute_error 0.16651311053286943 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.17544922970599966 root_relative_squared_error 0.388410625312124 total_cost 0 unweighted_recall 0.9462674915638182 [0.918529,0.974006] area_under_roc_curve 0.9911915867027123 [0.991192,0.991192] area_under_roc_curve 0.991915491099226 [0.991915,0.991915] area_under_roc_curve 0.9897056579810066 [0.989706,0.989706] area_under_roc_curve 0.9928437117279089 [0.992844,0.992844] area_under_roc_curve 0.9915365329660587 [0.991537,0.991537] area_under_roc_curve 0.991823687530133 [0.991824,0.991824] area_under_roc_curve 0.990894523587803 [0.990895,0.990895] area_under_roc_curve 0.9928195151671256 [0.99282,0.99282] area_under_roc_curve 0.9898832167647428 [0.989883,0.989883] area_under_roc_curve 0.9911822300595061 [0.991182,0.991182] 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 0.9596192202382959 [0.929045,0.971834] f_measure 0.9586506351102531 [0.92703,0.971302] f_measure 0.9564439088059802 [0.923625,0.969574] f_measure 0.9627743644401617 [0.934493,0.974089] f_measure 0.9584444129639467 [0.927004,0.971023] f_measure 0.9541583787121676 [0.918611,0.968366] f_measure 0.959730324620868 [0.929763,0.971708] f_measure 0.9586906535986811 [0.927254,0.971255] f_measure 0.9590136021637922 [0.927951,0.971429] f_measure 0.9529750398477839 [0.91645,0.967573] kappa 0.9008801017320892 kappa 0.8983374222068619 kappa 0.8931996881815091 kappa 0.9085848402198855 kappa 0.8980281524642767 kappa 0.886994540449923 kappa 0.9014714467258285 kappa 0.8985118534053651 kappa 0.8993807773851006 kappa 0.884043825442282 kb_relative_information_score 0.8423645570865701 kb_relative_information_score 0.8451980071339601 kb_relative_information_score 0.8315549751820314 kb_relative_information_score 0.8452481505199981 kb_relative_information_score 0.8416618324677695 kb_relative_information_score 0.8365594457785639 kb_relative_information_score 0.8437691988364233 kb_relative_information_score 0.8488661311365351 kb_relative_information_score 0.8413329346109455 kb_relative_information_score 0.8363484556639276 mean_absolute_error 0.06744939787765586 mean_absolute_error 0.06636195065648157 mean_absolute_error 0.0719518958693692 mean_absolute_error 0.06702995277622688 mean_absolute_error 0.06786386008699649 mean_absolute_error 0.06971051153895248 mean_absolute_error 0.06706841462631198 mean_absolute_error 0.06472263428076683 mean_absolute_error 0.06770387044754016 mean_absolute_error 0.0696613033629277 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 0.9595791753628455 [0.933333,0.970065] precision 0.9586097540086708 [0.938606,0.966613] precision 0.9564108966144342 [0.926456,0.968395] precision 0.9627328768315867 [0.942208,0.970944] precision 0.9583977717180986 [0.932238,0.968864] precision 0.9541768044369093 [0.937566,0.960816] precision 0.9598206372682764 [0.924623,0.973888] precision 0.9586386437803904 [0.934917,0.968119] precision 0.9589678497537416 [0.933196,0.969268] precision 0.9530022400029551 [0.936373,0.959648] predictive_accuracy 0.9596750797795184 predictive_accuracy 0.9588047577603713 predictive_accuracy 0.9564838990426457 predictive_accuracy 0.962866260516391 predictive_accuracy 0.9585146504206556 predictive_accuracy 0.9544399303540336 predictive_accuracy 0.9596633778293673 predictive_accuracy 0.958792803250145 predictive_accuracy 0.9590829947765525 predictive_accuracy 0.953279164248404 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 0.1653078709283379 relative_absolute_error 0.16259314555601712 relative_absolute_error 0.17628904760015676 relative_absolute_error 0.16422981483431642 relative_absolute_error 0.1662729677467745 relative_absolute_error 0.17083463499793744 relative_absolute_error 0.16435983440136018 relative_absolute_error 0.15861119592102685 relative_absolute_error 0.16591710117333286 relative_absolute_error 0.17071404399086368 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 0.17430738348017422 root_mean_squared_error 0.17338094434313772 root_mean_squared_error 0.18270761453104906 root_mean_squared_error 0.1687245053671067 root_mean_squared_error 0.1757761196161706 root_mean_squared_error 0.17786897625030243 root_mean_squared_error 0.17334450912547766 root_mean_squared_error 0.17048353724930013 root_mean_squared_error 0.17580770966070425 root_mean_squared_error 0.18158898999062215 root_relative_squared_error 0.38594665504452974 root_relative_squared_error 0.3837783687537049 root_relative_squared_error 0.40442293430374887 root_relative_squared_error 0.3734713505217265 root_relative_squared_error 0.38908008436406954 root_relative_squared_error 0.39379835437906907 root_relative_squared_error 0.3837812746962643 root_relative_squared_error 0.37744714020853853 root_relative_squared_error 0.3892347513942628 root_relative_squared_error 0.40203439036515315 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 0.9492030836873533 [0.924797,0.973609] unweighted_recall 0.9458858919536344 [0.915736,0.976036] unweighted_recall 0.9457838330439946 [0.920812,0.970755] unweighted_recall 0.9520789090624189 [0.926904,0.977254] unweighted_recall 0.9475099687844062 [0.921827,0.973193] unweighted_recall 0.9382211236815861 [0.900407,0.976036] unweighted_recall 0.9522481557065774 [0.934959,0.969537] unweighted_recall 0.9470632475414924 [0.919715,0.974411] unweighted_recall 0.9481814639429904 [0.922764,0.973599] unweighted_recall 0.9364936465164815 [0.897358,0.97563] usercpu_time_millis 30432.394704001126 usercpu_time_millis 31024.357319000046 usercpu_time_millis 30992.17646499892 usercpu_time_millis 31659.313374002522 usercpu_time_millis 30109.4161660003 usercpu_time_millis 30941.05394399776 usercpu_time_millis 30738.442701000167 usercpu_time_millis 31718.33028400033 usercpu_time_millis 30303.45194000074 usercpu_time_millis 30040.079418999085 usercpu_time_millis_testing 79.7320990004664 usercpu_time_millis_testing 78.13747900036105 usercpu_time_millis_testing 76.31401199978427 usercpu_time_millis_testing 77.26778300093429 usercpu_time_millis_testing 77.12269799958449 usercpu_time_millis_testing 76.1751699992601 usercpu_time_millis_testing 76.74112300082925 usercpu_time_millis_testing 77.00198400016234 usercpu_time_millis_testing 77.2143860012875 usercpu_time_millis_testing 46.101441999780945 usercpu_time_millis_training 30352.66260500066 usercpu_time_millis_training 30946.219839999685 usercpu_time_millis_training 30915.862452999136 usercpu_time_millis_training 31582.045591001588 usercpu_time_millis_training 30032.293468000717 usercpu_time_millis_training 30864.8787739985 usercpu_time_millis_training 30661.701577999338 usercpu_time_millis_training 31641.32830000017 usercpu_time_millis_training 30226.237553999454 usercpu_time_millis_training 29993.977976999304 wall_clock_time_millis 31002.57968902588 wall_clock_time_millis 31513.42248916626 wall_clock_time_millis 31651.653051376343 wall_clock_time_millis 32129.323482513428 wall_clock_time_millis 30722.076177597046 wall_clock_time_millis 31429.89492416382 wall_clock_time_millis 31240.057468414307 wall_clock_time_millis 32277.101755142212 wall_clock_time_millis 30808.245420455933 wall_clock_time_millis 30547.16181755066 wall_clock_time_millis_testing 84.38301086425781 wall_clock_time_millis_testing 78.28736305236816 wall_clock_time_millis_testing 81.25448226928711 wall_clock_time_millis_testing 77.30960845947266 wall_clock_time_millis_testing 77.2867202758789 wall_clock_time_millis_testing 77.17466354370117 wall_clock_time_millis_testing 77.16941833496094 wall_clock_time_millis_testing 77.25167274475098 wall_clock_time_millis_testing 77.27932929992676 wall_clock_time_millis_testing 46.14853858947754 wall_clock_time_millis_training 30918.19667816162 wall_clock_time_millis_training 31435.13512611389 wall_clock_time_millis_training 31570.398569107056 wall_clock_time_millis_training 32052.013874053955 wall_clock_time_millis_training 30644.789457321167 wall_clock_time_millis_training 31352.720260620117 wall_clock_time_millis_training 31162.888050079346 wall_clock_time_millis_training 32199.85008239746 wall_clock_time_millis_training 30730.966091156006 wall_clock_time_millis_training 30501.01327896118 weighted_recall 0.9596750797795184 [0.924797,0.973609] weighted_recall 0.9588047577603713 [0.915736,0.976036] weighted_recall 0.9564838990426457 [0.920812,0.970755] weighted_recall 0.962866260516391 [0.926904,0.977254] weighted_recall 0.9585146504206556 [0.921827,0.973193] weighted_recall 0.9544399303540336 [0.900407,0.976036] weighted_recall 0.9596633778293674 [0.934959,0.969537] weighted_recall 0.958792803250145 [0.919715,0.974411] weighted_recall 0.9590829947765526 [0.922764,0.973599] weighted_recall 0.953279164248404 [0.897358,0.97563]