10436882 10468 Nicolas Hug 14 Supervised Classification 17371 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3) 8260057 cv null 17371 error_score NaN 17371 iid "deprecated" 17371 n_iter 100 17371 n_jobs null 17371 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]} 17371 pre_dispatch "2*n_jobs" 17371 random_state 0 17371 refit true 17371 return_train_score false 17371 scoring null 17371 verbose 0 17371 l2_regularization 0.0 17372 learning_rate 0.1 17372 loss "auto" 17372 max_bins 255 17372 max_depth null 17372 max_iter 100 17372 max_leaf_nodes 31 17372 min_samples_leaf 20 17372 n_iter_no_change null 17372 random_state 45938 17372 scoring null 17372 tol 1e-07 17372 validation_fraction 0.1 17372 verbose 0 17372 warm_start false 17372 openml-python Sklearn_0.23.dev0. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21797189 description https://api.openml.org/data/download/21797189/description.xml -1 21797190 predictions https://api.openml.org/data/download/21797190/predictions.arff -1 21797191 trace https://api.openml.org/data/download/21797191/trace.arff area_under_roc_curve 0.981613888888889 [0.999825,0.969006,0.997261,0.993089,0.982817,0.996269,0.944908,0.993447,0.999533,0.939983] average_cost 0 f_measure 0.8462999712330819 [0.99,0.795918,0.954774,0.922693,0.849741,0.908642,0.595533,0.893112,0.964646,0.58794] kappa 0.8294444444444444 kb_relative_information_score 0.8521994669329893 mean_absolute_error 0.032654566766380226 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.8465 [0.99,0.78,0.95,0.925,0.82,0.92,0.6,0.94,0.955,0.585] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8468986000048733 [0.99,0.8125,0.959596,0.920398,0.88172,0.897561,0.591133,0.850679,0.97449,0.590909] predictive_accuracy 0.8465 prior_entropy 3.3219280948872383 relative_absolute_error 0.18141425981321788 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15727527688055895 root_relative_squared_error 0.5242509229351885 total_cost 0 unweighted_recall 0.8465 [0.99,0.78,0.95,0.925,0.82,0.92,0.6,0.94,0.955,0.585] area_under_roc_curve 0.98775 [1,0.9875,0.996667,0.991389,0.981111,1,0.957778,0.997222,0.999444,0.966389] area_under_roc_curve 0.9809444444444445 [1,0.976389,0.9975,0.976111,0.976389,0.987778,0.949167,0.995,0.998889,0.952222] area_under_roc_curve 0.982388888888889 [0.999722,0.985833,1,0.990556,0.991944,0.994167,0.929167,0.993056,1,0.939444] area_under_roc_curve 0.9920277777777777 [1,0.983056,0.995556,0.999444,0.996389,0.996389,0.979167,0.995556,1,0.974722] area_under_roc_curve 0.9771944444444444 [1,0.938056,0.999722,0.979444,0.996389,0.998889,0.944722,0.990556,1,0.924167] area_under_roc_curve 0.9844166666666667 [1,0.954722,1,0.997222,0.987222,0.996667,0.961389,0.993889,0.999722,0.953333] area_under_roc_curve 0.9832777777777777 [1,0.966389,0.991111,0.997778,0.977778,0.996667,0.957222,0.991111,1,0.954722] area_under_roc_curve 0.984388888888889 [1,0.984722,0.998611,0.999167,0.99,0.996389,0.940278,0.997778,0.998611,0.938333] area_under_roc_curve 0.98425 [1,0.979167,1,0.999722,0.993889,0.996389,0.948333,0.995,1,0.93] area_under_roc_curve 0.97625 [1,0.978889,0.997222,1,0.959444,0.999722,0.910556,0.994722,0.998333,0.923611] 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 0.8800139291602708 [0.974359,0.818182,0.95,0.923077,0.923077,1,0.666667,0.9,0.926829,0.717949] f_measure 0.8080052568574806 [1,0.810811,0.926829,0.857143,0.705882,0.857143,0.512821,0.863636,0.974359,0.571429] f_measure 0.8269149807777149 [0.974359,0.8,0.974359,0.888889,0.809524,0.857143,0.512821,0.871795,0.97561,0.604651] f_measure 0.890456820200918 [1,0.789474,0.974359,0.97561,0.869565,0.918919,0.780488,0.871795,0.974359,0.75] f_measure 0.838415512561854 [1,0.702703,0.974359,0.926829,0.888889,0.909091,0.6,0.818182,1,0.564103] f_measure 0.8606358186017689 [0.97561,0.842105,0.97561,0.9,0.864865,0.926829,0.695652,0.930233,0.95,0.545455] f_measure 0.822697918219601 [1,0.789474,0.918919,0.930233,0.823529,0.883721,0.55,0.869565,1,0.461538] f_measure 0.8648243498050943 [1,0.8,0.95,0.95,0.878049,0.894737,0.65,0.952381,0.923077,0.65] f_measure 0.8638087335455756 [1,0.810811,1,0.952381,0.85,0.894737,0.555556,0.952381,1,0.622222] f_measure 0.8015559646537048 [0.97561,0.790698,0.904762,0.918919,0.864865,0.95,0.418605,0.904762,0.918919,0.368421] kappa 0.8666666666666667 kappa 0.788888888888889 kappa 0.8055555555555555 kappa 0.8777777777777778 kappa 0.8222222222222222 kappa 0.85 kappa 0.8055555555555555 kappa 0.85 kappa 0.85 kappa 0.7777777777777778 kb_relative_information_score 0.8785618244016332 kb_relative_information_score 0.8283631269527245 kb_relative_information_score 0.8334513946634656 kb_relative_information_score 0.8912896333349661 kb_relative_information_score 0.8331763954025413 kb_relative_information_score 0.8665116009206655 kb_relative_information_score 0.8460242107009849 kb_relative_information_score 0.8634794872759635 kb_relative_information_score 0.8719097249511978 kb_relative_information_score 0.8092272707254523 mean_absolute_error 0.027171269477142927 mean_absolute_error 0.04032037090408444 mean_absolute_error 0.037164719699797094 mean_absolute_error 0.02767778618559288 mean_absolute_error 0.03542757537402088 mean_absolute_error 0.028775266019964944 mean_absolute_error 0.03320726633307755 mean_absolute_error 0.02917850013870144 mean_absolute_error 0.027895367272886645 mean_absolute_error 0.039727546258533385 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.8820551378446114 [1,0.75,0.95,0.947368,0.947368,1,0.684211,0.9,0.904762,0.736842] precision 0.8144058341039765 [1,0.882353,0.904762,0.818182,0.857143,0.818182,0.526316,0.791667,1,0.545455] precision 0.8329560066173339 [1,0.8,1,1,0.772727,0.818182,0.526316,0.894737,0.952381,0.565217] precision 0.8961586658955081 [1,0.833333,1,0.952381,0.769231,1,0.761905,0.894737,1,0.75] precision 0.8431748488869232 [1,0.764706,1,0.904762,1,0.833333,0.6,0.75,1,0.578947] precision 0.8666846694084545 [0.952381,0.888889,0.952381,0.9,0.941176,0.904762,0.615385,0.869565,0.95,0.692308] precision 0.8321900487003461 [1,0.833333,1,0.869565,1,0.826087,0.55,0.769231,1,0.473684] precision 0.8658046631730842 [1,0.8,0.95,0.95,0.857143,0.944444,0.65,0.909091,0.947368,0.65] precision 0.8679979203802732 [1,0.882353,1,0.909091,0.85,0.944444,0.625,0.909091,1,0.56] precision 0.80901538217395 [0.952381,0.73913,0.863636,1,0.941176,0.95,0.391304,0.863636,1,0.388889] predictive_accuracy 0.88 predictive_accuracy 0.81 predictive_accuracy 0.825 predictive_accuracy 0.89 predictive_accuracy 0.84 predictive_accuracy 0.865 predictive_accuracy 0.825 predictive_accuracy 0.865 predictive_accuracy 0.865 predictive_accuracy 0.8 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 relative_absolute_error 0.15095149709523864 relative_absolute_error 0.22400206057824715 relative_absolute_error 0.20647066499887298 relative_absolute_error 0.1537654788088495 relative_absolute_error 0.1968198631890051 relative_absolute_error 0.15986258899980543 relative_absolute_error 0.18448481296154218 relative_absolute_error 0.1621027785483415 relative_absolute_error 0.1549742626271482 relative_absolute_error 0.22070859032518572 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.14347401246594957 root_mean_squared_error 0.16734433875632612 root_mean_squared_error 0.16428167853278788 root_mean_squared_error 0.12750277090143283 root_mean_squared_error 0.1688312076317295 root_mean_squared_error 0.15060655078215623 root_mean_squared_error 0.16240141714534204 root_mean_squared_error 0.15407689465966368 root_mean_squared_error 0.14718517123442093 root_mean_squared_error 0.1804358238366957 root_relative_squared_error 0.4782467082198322 root_relative_squared_error 0.5578144625210874 root_relative_squared_error 0.5476055951092933 root_relative_squared_error 0.4250092363381097 root_relative_squared_error 0.5627706921057654 root_relative_squared_error 0.5020218359405211 root_relative_squared_error 0.5413380571511405 root_relative_squared_error 0.5135896488655459 root_relative_squared_error 0.49061723744807006 root_relative_squared_error 0.6014527461223194 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 0.8799999999999999 [0.95,0.9,0.95,0.9,0.9,1,0.65,0.9,0.95,0.7] unweighted_recall 0.8100000000000002 [1,0.75,0.95,0.9,0.6,0.9,0.5,0.95,0.95,0.6] unweighted_recall 0.825 [0.95,0.8,0.95,0.8,0.85,0.9,0.5,0.85,1,0.65] unweighted_recall 0.8899999999999999 [1,0.75,0.95,1,1,0.85,0.8,0.85,0.95,0.75] unweighted_recall 0.8400000000000001 [1,0.65,0.95,0.95,0.8,1,0.6,0.9,1,0.55] unweighted_recall 0.8649999999999999 [1,0.8,1,0.9,0.8,0.95,0.8,1,0.95,0.45] unweighted_recall 0.825 [1,0.75,0.85,1,0.7,0.95,0.55,1,1,0.45] unweighted_recall 0.865 [1,0.8,0.95,0.95,0.9,0.85,0.65,1,0.9,0.65] unweighted_recall 0.8649999999999999 [1,0.75,1,1,0.85,0.85,0.5,1,1,0.7] unweighted_recall 0.8 [1,0.85,0.95,0.85,0.8,0.95,0.45,0.95,0.85,0.35] usercpu_time_millis 8370.837892 usercpu_time_millis 9355.042433999997 usercpu_time_millis 9298.320470999997 usercpu_time_millis 9185.755979000003 usercpu_time_millis 6341.001399 usercpu_time_millis 7162.084512999996 usercpu_time_millis 7949.281848999995 usercpu_time_millis 5064.7366550000115 usercpu_time_millis 7268.856215 usercpu_time_millis 8457.64536099999 usercpu_time_millis_testing 26.432644999999866 usercpu_time_millis_testing 28.210480999998566 usercpu_time_millis_testing 26.588947999997004 usercpu_time_millis_testing 26.409921999999142 usercpu_time_millis_testing 23.87040400000018 usercpu_time_millis_testing 25.403481999994426 usercpu_time_millis_testing 26.696901999997635 usercpu_time_millis_testing 21.185470000006035 usercpu_time_millis_testing 26.08554299999355 usercpu_time_millis_testing 25.75599399999362 usercpu_time_millis_training 8344.405247 usercpu_time_millis_training 9326.831952999999 usercpu_time_millis_training 9271.731523 usercpu_time_millis_training 9159.346057000004 usercpu_time_millis_training 6317.1309949999995 usercpu_time_millis_training 7136.681031000002 usercpu_time_millis_training 7922.584946999998 usercpu_time_millis_training 5043.551185000006 usercpu_time_millis_training 7242.770672000006 usercpu_time_millis_training 8431.889366999996 wall_clock_time_millis 148427.46996879578 wall_clock_time_millis 148027.71878242493 wall_clock_time_millis 146095.43180465698 wall_clock_time_millis 147782.72199630737 wall_clock_time_millis 145275.3448486328 wall_clock_time_millis 146472.2545146942 wall_clock_time_millis 145237.97607421875 wall_clock_time_millis 143693.3901309967 wall_clock_time_millis 144718.1088924408 wall_clock_time_millis 146027.55522727966 wall_clock_time_millis_testing 26.42202377319336 wall_clock_time_millis_testing 28.193235397338867 wall_clock_time_millis_testing 26.575326919555664 wall_clock_time_millis_testing 26.394367218017578 wall_clock_time_millis_testing 23.85711669921875 wall_clock_time_millis_testing 25.388479232788086 wall_clock_time_millis_testing 26.68452262878418 wall_clock_time_millis_testing 21.173954010009766 wall_clock_time_millis_testing 26.069164276123047 wall_clock_time_millis_testing 25.740623474121094 wall_clock_time_millis_training 148401.04794502258 wall_clock_time_millis_training 147999.5255470276 wall_clock_time_millis_training 146068.85647773743 wall_clock_time_millis_training 147756.32762908936 wall_clock_time_millis_training 145251.4877319336 wall_clock_time_millis_training 146446.86603546143 wall_clock_time_millis_training 145211.29155158997 wall_clock_time_millis_training 143672.2161769867 wall_clock_time_millis_training 144692.03972816467 wall_clock_time_millis_training 146001.81460380554 weighted_recall 0.88 [0.95,0.9,0.95,0.9,0.9,1,0.65,0.9,0.95,0.7] weighted_recall 0.81 [1,0.75,0.95,0.9,0.6,0.9,0.5,0.95,0.95,0.6] weighted_recall 0.825 [0.95,0.8,0.95,0.8,0.85,0.9,0.5,0.85,1,0.65] weighted_recall 0.89 [1,0.75,0.95,1,1,0.85,0.8,0.85,0.95,0.75] weighted_recall 0.84 [1,0.65,0.95,0.95,0.8,1,0.6,0.9,1,0.55] weighted_recall 0.865 [1,0.8,1,0.9,0.8,0.95,0.8,1,0.95,0.45] weighted_recall 0.825 [1,0.75,0.85,1,0.7,0.95,0.55,1,1,0.45] weighted_recall 0.865 [1,0.8,0.95,0.95,0.9,0.85,0.65,1,0.9,0.65] weighted_recall 0.865 [1,0.75,1,1,0.85,0.85,0.5,1,1,0.7] weighted_recall 0.8 [1,0.85,0.95,0.85,0.8,0.95,0.45,0.95,0.85,0.35]