10437680 10468 Nicolas Hug 37 Supervised Classification 17374 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8260821 l2_regularization 0.0 17370 learning_rate 0.1 17370 loss "auto" 17370 max_bins 255 17370 max_depth null 17370 max_iter 100 17370 max_leaf_nodes 31 17370 min_samples_leaf 20 17370 n_iter_no_change null 17370 random_state 48035 17370 scoring null 17370 tol 1e-07 17370 validation_fraction 0.1 17370 verbose 0 17370 warm_start false 17370 cv null 17374 error_score NaN 17374 iid "deprecated" 17374 n_iter 100 17374 n_jobs null 17374 param_distributions {"l2_regularization": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "learning_rate": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]} 17374 pre_dispatch "2*n_jobs" 17374 random_state 0 17374 refit true 17374 return_train_score false 17374 scoring null 17374 verbose 0 17374 openml-python Sklearn_0.23.dev0. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21799539 description https://api.openml.org/data/download/21799539/description.xml -1 21799540 predictions https://api.openml.org/data/download/21799540/predictions.arff -1 21799541 trace https://api.openml.org/data/download/21799541/trace.arff area_under_roc_curve 0.8204888059701494 [0.820489,0.820489] average_cost 0 f_measure 0.7523980180593223 [0.821497,0.623482] kappa 0.4468744191809677 kb_relative_information_score 0.29512537832262326 mean_absolute_error 0.3279461476381202 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7578125 [0.856,0.574627] number_of_instances 768 [500,268] precision 0.7518924705286875 [0.789668,0.681416] predictive_accuracy 0.7578125 prior_entropy 0.9331348051619819 relative_absolute_error 0.7215674256878779 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.403489910164251 root_relative_squared_error 0.8465280492269445 total_cost 0 unweighted_recall 0.7153134328358208 [0.856,0.574627] area_under_roc_curve 0.8911111111111112 [0.891111,0.891111] area_under_roc_curve 0.7555555555555555 [0.755556,0.755556] area_under_roc_curve 0.8570370370370372 [0.857037,0.857037] area_under_roc_curve 0.8007407407407409 [0.800741,0.800741] area_under_roc_curve 0.8037037037037036 [0.803704,0.803704] area_under_roc_curve 0.8444444444444444 [0.844444,0.844444] area_under_roc_curve 0.8111111111111111 [0.811111,0.811111] area_under_roc_curve 0.8800000000000001 [0.88,0.88] area_under_roc_curve 0.8603846153846155 [0.860385,0.860385] area_under_roc_curve 0.7553846153846154 [0.755385,0.755385] 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 0.8164678458796105 [0.862745,0.730769] f_measure 0.6776525361431022 [0.773585,0.5] f_measure 0.7640300875594993 [0.823529,0.653846] f_measure 0.7000230043708305 [0.796296,0.521739] f_measure 0.7142857142857143 [0.78,0.592593] f_measure 0.7937980386959977 [0.836735,0.714286] f_measure 0.7662575956153937 [0.844037,0.622222] f_measure 0.785516663349601 [0.867257,0.634146] f_measure 0.7781321991848308 [0.851852,0.636364] f_measure 0.7148339598997493 [0.770833,0.607143] kappa 0.5938206480783723 kappa 0.2786885245901639 kappa 0.4777694046721929 kappa 0.32670906200317973 kappa 0.37259259259259264 kappa 0.5513474144209761 kappa 0.47492980344965907 kappa 0.5189504373177843 kappa 0.4950166112956811 kappa 0.37982195845697325 kb_relative_information_score 0.44593539042143476 kb_relative_information_score 0.17721191795742647 kb_relative_information_score 0.3544746504172989 kb_relative_information_score 0.27410200978019583 kb_relative_information_score 0.2706477555054082 kb_relative_information_score 0.3391155431627225 kb_relative_information_score 0.21263404419510998 kb_relative_information_score 0.2880439218661381 kb_relative_information_score 0.2965426249848237 kb_relative_information_score 0.29252089531204317 mean_absolute_error 0.26423293686750576 mean_absolute_error 0.37667417020586397 mean_absolute_error 0.3006192273461274 mean_absolute_error 0.33324969538986504 mean_absolute_error 0.332229709020855 mean_absolute_error 0.31111349650729203 mean_absolute_error 0.37063640562863187 mean_absolute_error 0.3435470345012754 mean_absolute_error 0.3322643294327834 mean_absolute_error 0.3147795570814949 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 0.8159440559440558 [0.846154,0.76] precision 0.6757884972170686 [0.732143,0.571429] precision 0.7629170829170829 [0.807692,0.68] precision 0.7028778843660877 [0.741379,0.631579] precision 0.7142857142857143 [0.78,0.592593] precision 0.7964808180325421 [0.854167,0.689655] precision 0.7790006603565925 [0.779661,0.777778] precision 0.8306534735106165 [0.777778,0.928571] precision 0.7878604557370438 [0.793103,0.777778] precision 0.7230358504958048 [0.804348,0.566667] predictive_accuracy 0.8181818181818181 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7894736842105263 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 relative_absolute_error 0.5807306530331169 relative_absolute_error 0.827853784761302 relative_absolute_error 0.6607003739982901 relative_absolute_error 0.7324155554607655 relative_absolute_error 0.7301738313321151 relative_absolute_error 0.6837646590768922 relative_absolute_error 0.8145839970983265 relative_absolute_error 0.7550470280453939 relative_absolute_error 0.7344050671705111 relative_absolute_error 0.6957584106514976 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 0.35038188545444743 root_mean_squared_error 0.4375288269719654 root_mean_squared_error 0.3913699939690282 root_mean_squared_error 0.4169684721219869 root_mean_squared_error 0.40808567312073263 root_mean_squared_error 0.38594500796804265 root_mean_squared_error 0.41701713965281184 root_mean_squared_error 0.38940589324695796 root_mean_squared_error 0.3839495283429208 root_mean_squared_error 0.44567862984918083 root_relative_squared_error 0.734283683266759 root_relative_squared_error 0.9169146349779749 root_relative_squared_error 0.8201811013116107 root_relative_squared_error 0.8738269820048974 root_relative_squared_error 0.855211595082427 root_relative_squared_error 0.8088121382805805 root_relative_squared_error 0.8739289729332905 root_relative_squared_error 0.8160650006443683 root_relative_squared_error 0.8092177727900582 root_relative_squared_error 0.9393189510694406 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 0.7918518518518518 [0.88,0.703704] unweighted_recall 0.6322222222222222 [0.82,0.444444] unweighted_recall 0.7348148148148148 [0.84,0.62963] unweighted_recall 0.6522222222222223 [0.86,0.444444] unweighted_recall 0.6862962962962963 [0.78,0.592593] unweighted_recall 0.7803703703703704 [0.82,0.740741] unweighted_recall 0.7192592592592593 [0.92,0.518519] unweighted_recall 0.7307407407407407 [0.98,0.481481] unweighted_recall 0.7292307692307692 [0.92,0.538462] unweighted_recall 0.696923076923077 [0.74,0.653846] usercpu_time_millis 1708.6101490000005 usercpu_time_millis 1707.9313399999994 usercpu_time_millis 1702.1838589999998 usercpu_time_millis 1697.2485899999983 usercpu_time_millis 1707.041380999998 usercpu_time_millis 1794.5940029999986 usercpu_time_millis 1853.6252150000012 usercpu_time_millis 1796.680316999998 usercpu_time_millis 1728.999377000001 usercpu_time_millis 1819.497646000002 usercpu_time_millis_testing 2.062758000000109 usercpu_time_millis_testing 2.052953999999829 usercpu_time_millis_testing 1.9717749999994538 usercpu_time_millis_testing 2.1726259999983455 usercpu_time_millis_testing 2.0098819999994078 usercpu_time_millis_testing 2.1678559999998015 usercpu_time_millis_testing 1.896800000000809 usercpu_time_millis_testing 2.177072999998586 usercpu_time_millis_testing 1.985825000001995 usercpu_time_millis_testing 2.35933700000146 usercpu_time_millis_training 1706.5473910000005 usercpu_time_millis_training 1705.8783859999996 usercpu_time_millis_training 1700.2120840000002 usercpu_time_millis_training 1695.0759639999999 usercpu_time_millis_training 1705.0314989999986 usercpu_time_millis_training 1792.4261469999988 usercpu_time_millis_training 1851.7284150000003 usercpu_time_millis_training 1794.5032439999995 usercpu_time_millis_training 1727.013551999999 usercpu_time_millis_training 1817.1383090000006 wall_clock_time_millis 7094.270706176758 wall_clock_time_millis 6961.497783660889 wall_clock_time_millis 7040.926456451416 wall_clock_time_millis 7050.58217048645 wall_clock_time_millis 7101.683139801025 wall_clock_time_millis 7160.791873931885 wall_clock_time_millis 7170.718431472778 wall_clock_time_millis 7163.995265960693 wall_clock_time_millis 7079.31661605835 wall_clock_time_millis 7195.768117904663 wall_clock_time_millis_testing 2.0723342895507812 wall_clock_time_millis_testing 2.0532608032226562 wall_clock_time_millis_testing 1.9719600677490234 wall_clock_time_millis_testing 2.1729469299316406 wall_clock_time_millis_testing 2.010345458984375 wall_clock_time_millis_testing 2.1681785583496094 wall_clock_time_millis_testing 1.8970966339111328 wall_clock_time_millis_testing 2.1774768829345703 wall_clock_time_millis_testing 1.989126205444336 wall_clock_time_millis_testing 2.3593902587890625 wall_clock_time_millis_training 7092.198371887207 wall_clock_time_millis_training 6959.444522857666 wall_clock_time_millis_training 7038.954496383667 wall_clock_time_millis_training 7048.409223556519 wall_clock_time_millis_training 7099.672794342041 wall_clock_time_millis_training 7158.623695373535 wall_clock_time_millis_training 7168.821334838867 wall_clock_time_millis_training 7161.817789077759 wall_clock_time_millis_training 7077.327489852905 wall_clock_time_millis_training 7193.408727645874 weighted_recall 0.8181818181818182 [0.88,0.703704] weighted_recall 0.6883116883116883 [0.82,0.444444] weighted_recall 0.7662337662337663 [0.84,0.62963] weighted_recall 0.7142857142857143 [0.86,0.444444] weighted_recall 0.7142857142857143 [0.78,0.592593] weighted_recall 0.7922077922077922 [0.82,0.740741] weighted_recall 0.7792207792207793 [0.92,0.518519] weighted_recall 0.8051948051948052 [0.98,0.481481] weighted_recall 0.7894736842105263 [0.92,0.538462] weighted_recall 0.7105263157894737 [0.74,0.653846]