10291026 8323 Heinrich Peters 37 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8167954 l2_regularization 1e-08 12677 learning_rate 1.0 12677 loss "auto" 12677 max_bins 128 12677 max_depth 4 12677 max_iter 400 12677 max_leaf_nodes 16 12677 min_samples_leaf 7 12677 n_iter_no_change null 12677 random_state 29139 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 12677 verbose 0 12677 memory null 12736 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}] 12736 verbose false 12736 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21503570 description https://api.openml.org/data/download/21503570/description.xml -1 21503571 predictions https://api.openml.org/data/download/21503571/predictions.arff area_under_roc_curve 0.7822761194029851 [0.782276,0.782276] average_cost 0 f_measure 0.7323799969715324 [0.799213,0.607692] kappa 0.40719215401380315 kb_relative_information_score 0.39481922415719645 mean_absolute_error 0.264609421520068 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.73104505044912 [0.786822,0.626984] predictive_accuracy 0.734375 prior_entropy 0.9331348051619819 recall 0.734375 [0.812,0.589552] relative_absolute_error 0.5822100380629691 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.49175217568450846 root_relative_squared_error 1.0317036423930757 total_cost 0 area_under_roc_curve 0.8385185185185187 [0.838519,0.838519] area_under_roc_curve 0.7140740740740741 [0.714074,0.714074] area_under_roc_curve 0.8251851851851851 [0.825185,0.825185] area_under_roc_curve 0.7518518518518519 [0.751852,0.751852] area_under_roc_curve 0.7303703703703703 [0.73037,0.73037] area_under_roc_curve 0.7792592592592592 [0.779259,0.779259] area_under_roc_curve 0.8303703703703704 [0.83037,0.83037] area_under_roc_curve 0.8185185185185185 [0.818519,0.818519] area_under_roc_curve 0.7999999999999999 [0.8,0.8] area_under_roc_curve 0.7169230769230769 [0.716923,0.716923] 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 0.7662337662337663 [0.82,0.666667] f_measure 0.6853734500793325 [0.764706,0.538462] f_measure 0.7801128164764528 [0.828283,0.690909] f_measure 0.6441439770965756 [0.737864,0.470588] f_measure 0.702505575232848 [0.767677,0.581818] f_measure 0.7115923292393881 [0.784314,0.576923] f_measure 0.7348651348651349 [0.807692,0.6] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.7937366781439581 [0.859813,0.666667] f_measure 0.7148339598997493 [0.770833,0.607143] kappa 0.48666666666666675 kappa 0.3036925395629238 kappa 0.519280205655527 kappa 0.20980615735461797 kappa 0.3496143958868894 kappa 0.3617181612660135 kappa 0.4095092024539878 kappa 0.5276073619631902 kappa 0.5312500000000001 kappa 0.37982195845697325 kb_relative_information_score 0.48552140418015804 kb_relative_information_score 0.2758361123146024 kb_relative_information_score 0.48335105526913813 kb_relative_information_score 0.24296487650881324 kb_relative_information_score 0.25685989888372723 kb_relative_information_score 0.39445043050994727 kb_relative_information_score 0.4356832126995743 kb_relative_information_score 0.5147157478138449 kb_relative_information_score 0.5293368639329297 kb_relative_information_score 0.3309623275149853 mean_absolute_error 0.22495519958340912 mean_absolute_error 0.31731576550546653 mean_absolute_error 0.22726642121687662 mean_absolute_error 0.32746863852391955 mean_absolute_error 0.32892437485044645 mean_absolute_error 0.2651938771969472 mean_absolute_error 0.24584711156948166 mean_absolute_error 0.21330261066610937 mean_absolute_error 0.20463739749564344 mean_absolute_error 0.2907433629745912 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.7662337662337663 [0.82,0.666667] precision 0.6833766233766234 [0.75,0.56] precision 0.7812748476013783 [0.836735,0.678571] precision 0.6408968390100466 [0.716981,0.5] precision 0.7039491121123773 [0.77551,0.571429] precision 0.70989010989011 [0.769231,0.6] precision 0.7337348641696468 [0.777778,0.652174] precision 0.788276136102223 [0.814815,0.73913] precision 0.8010156971375807 [0.807018,0.789474] precision 0.7230358504958048 [0.804348,0.566667] predictive_accuracy 0.7662337662337663 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8026315789473684 predictive_accuracy 0.7105263157894737 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 recall 0.7662337662337663 [0.82,0.666667] recall 0.6883116883116883 [0.78,0.518519] recall 0.7792207792207793 [0.82,0.703704] recall 0.6493506493506493 [0.76,0.444444] recall 0.7012987012987013 [0.76,0.592593] recall 0.7142857142857143 [0.8,0.555556] recall 0.7402597402597403 [0.84,0.555556] recall 0.7922077922077922 [0.88,0.62963] recall 0.8026315789473685 [0.92,0.576923] recall 0.7105263157894737 [0.74,0.653846] relative_absolute_error 0.4944061157022763 relative_absolute_error 0.6973959942476585 relative_absolute_error 0.4994857142732178 relative_absolute_error 0.7197099595241564 relative_absolute_error 0.7229093740921135 relative_absolute_error 0.5828426058867546 relative_absolute_error 0.540322320678895 relative_absolute_error 0.46879607763626824 relative_absolute_error 0.4523107909595495 relative_absolute_error 0.6426311225741445 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.4553547008990838 root_mean_squared_error 0.5468258834820273 root_mean_squared_error 0.45260577588069134 root_mean_squared_error 0.5491870753061444 root_mean_squared_error 0.5407531326466753 root_mean_squared_error 0.4805570029914458 root_mean_squared_error 0.47133846961582343 root_mean_squared_error 0.44141193686015995 root_mean_squared_error 0.4319672770123324 root_mean_squared_error 0.5274305839429168 root_relative_squared_error 0.9542717270767188 root_relative_squared_error 1.1459648472066466 root_relative_squared_error 0.9485108961909801 root_relative_squared_error 1.1509131185114354 root_relative_squared_error 1.1332383849206182 root_relative_squared_error 1.0070873547544432 root_relative_squared_error 0.9877683804513336 root_relative_squared_error 0.9250523394358834 root_relative_squared_error 0.9104206986026132 root_relative_squared_error 1.1116205931589247 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 usercpu_time_millis 724.2800930107478 usercpu_time_millis 713.4613599919248 usercpu_time_millis 580.6806810142007 usercpu_time_millis 604.8889090016019 usercpu_time_millis 581.2476410064846 usercpu_time_millis 731.6518540028483 usercpu_time_millis 785.0609659799375 usercpu_time_millis 605.6695599691011 usercpu_time_millis 706.81043798686 usercpu_time_millis 707.7779470128007 usercpu_time_millis_testing 15.071502013597637 usercpu_time_millis_testing 15.164859010837972 usercpu_time_millis_testing 11.834361008368433 usercpu_time_millis_testing 13.203042995883152 usercpu_time_millis_testing 12.511904002167284 usercpu_time_millis_testing 18.029725004453212 usercpu_time_millis_testing 16.487941989907995 usercpu_time_millis_testing 12.54705898463726 usercpu_time_millis_testing 13.055566989351064 usercpu_time_millis_testing 16.943083988735452 usercpu_time_millis_training 709.2085909971502 usercpu_time_millis_training 698.2965009810869 usercpu_time_millis_training 568.8463200058322 usercpu_time_millis_training 591.6858660057187 usercpu_time_millis_training 568.7357370043173 usercpu_time_millis_training 713.622128998395 usercpu_time_millis_training 768.5730239900295 usercpu_time_millis_training 593.1225009844638 usercpu_time_millis_training 693.754870997509 usercpu_time_millis_training 690.8348630240653 wall_clock_time_millis 724.3187427520752 wall_clock_time_millis 713.5059833526611 wall_clock_time_millis 580.7218551635742 wall_clock_time_millis 604.9299240112305 wall_clock_time_millis 581.2764167785645 wall_clock_time_millis 731.7116260528564 wall_clock_time_millis 785.0854396820068 wall_clock_time_millis 605.7054996490479 wall_clock_time_millis 706.8440914154053 wall_clock_time_millis 707.8051567077637 wall_clock_time_millis_testing 15.080928802490234 wall_clock_time_millis_testing 15.17939567565918 wall_clock_time_millis_testing 11.849164962768555 wall_clock_time_millis_testing 13.21721076965332 wall_clock_time_millis_testing 12.526273727416992 wall_clock_time_millis_testing 18.040895462036133 wall_clock_time_millis_testing 16.501903533935547 wall_clock_time_millis_testing 12.56108283996582 wall_clock_time_millis_testing 13.067245483398438 wall_clock_time_millis_testing 16.957998275756836 wall_clock_time_millis_training 709.237813949585 wall_clock_time_millis_training 698.326587677002 wall_clock_time_millis_training 568.8726902008057 wall_clock_time_millis_training 591.7127132415771 wall_clock_time_millis_training 568.7501430511475 wall_clock_time_millis_training 713.6707305908203 wall_clock_time_millis_training 768.5835361480713 wall_clock_time_millis_training 593.144416809082 wall_clock_time_millis_training 693.7768459320068 wall_clock_time_millis_training 690.8471584320068