10432868 10468 Nicolas Hug 9976 Supervised Classification 17371 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3) 8258418 cv null 17371 error_score NaN 17371 iid "deprecated" 17371 n_iter 100 17371 n_jobs -1 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 32840 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. 1485 madelon https://www.openml.org/data/download/1590986/phpfLuQE4 -1 21788488 description https://api.openml.org/data/download/21788488/description.xml -1 21788489 predictions https://api.openml.org/data/download/21788489/predictions.arff -1 21788490 trace https://api.openml.org/data/download/21788490/trace.arff area_under_roc_curve 0.9111869822485206 [0.911187,0.911187] average_cost 0 f_measure 0.834950558414318 [0.832094,0.837807] kappa 0.6699999999999999 kb_relative_information_score 0.46333054731477574 mean_absolute_error 0.2905328152086593 mean_prior_absolute_error 0.5 weighted_recall 0.835 [0.817692,0.852308] number_of_instances 2600 [1300,1300] precision 0.8354018868762866 [0.847012,0.823792] predictive_accuracy 0.835 prior_entropy 1 relative_absolute_error 0.5810656304173186 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.3520686182730383 root_relative_squared_error 0.7041372365460766 total_cost 0 unweighted_recall 0.835 [0.817692,0.852308] area_under_roc_curve 0.9107100591715976 [0.91071,0.91071] area_under_roc_curve 0.9172189349112426 [0.917219,0.917219] area_under_roc_curve 0.9143786982248521 [0.914379,0.914379] area_under_roc_curve 0.9317751479289941 [0.931775,0.931775] area_under_roc_curve 0.9155029585798816 [0.915503,0.915503] area_under_roc_curve 0.9318934911242603 [0.931893,0.931893] area_under_roc_curve 0.912189349112426 [0.912189,0.912189] area_under_roc_curve 0.8716568047337279 [0.871657,0.871657] area_under_roc_curve 0.8734319526627219 [0.873432,0.873432] area_under_roc_curve 0.9287573964497041 [0.928757,0.928757] 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 0.8345541990381058 [0.831373,0.837736] f_measure 0.8538375051778211 [0.852713,0.854962] f_measure 0.8575890808426226 [0.853755,0.861423] f_measure 0.8769157938339548 [0.875969,0.877863] f_measure 0.8228148148148149 [0.816,0.82963] f_measure 0.8497310274307562 [0.843373,0.856089] f_measure 0.845925925925926 [0.84,0.851852] f_measure 0.7611851851851852 [0.77037,0.752] f_measure 0.7922954020947984 [0.790698,0.793893] f_measure 0.8537682789651294 [0.850394,0.857143] kappa 0.6692307692307693 kappa 0.7076923076923076 kappa 0.7153846153846153 kappa 0.7538461538461538 kappa 0.6461538461538461 kappa 0.7 kappa 0.6923076923076923 kappa 0.523076923076923 kappa 0.5846153846153845 kappa 0.7076923076923076 kb_relative_information_score 0.4610314012854809 kb_relative_information_score 0.4930628702609201 kb_relative_information_score 0.4769414932281563 kb_relative_information_score 0.520589232478356 kb_relative_information_score 0.46016104610883146 kb_relative_information_score 0.5012490264476319 kb_relative_information_score 0.4682648404244551 kb_relative_information_score 0.3483934127618358 kb_relative_information_score 0.4133332592958228 kb_relative_information_score 0.4902788908562693 mean_absolute_error 0.2920328247987694 mean_absolute_error 0.27589606080944323 mean_absolute_error 0.2849726573517203 mean_absolute_error 0.2634224742077255 mean_absolute_error 0.2908443043558652 mean_absolute_error 0.27183244932843503 mean_absolute_error 0.28775766794902163 mean_absolute_error 0.34668992006175203 mean_absolute_error 0.31345350714729503 mean_absolute_error 0.27842628607656505 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] precision 0.835111111111111 [0.848,0.822222] precision 0.8539299242424243 [0.859375,0.848485] precision 0.8587324194409827 [0.878049,0.839416] precision 0.8770123106060606 [0.882812,0.871212] precision 0.825 [0.85,0.8] precision 0.8525239883187318 [0.882353,0.822695] precision 0.8482142857142857 [0.875,0.821429] precision 0.763095238095238 [0.742857,0.783333] precision 0.792376893939394 [0.796875,0.787879] precision 0.8546015180265655 [0.870968,0.838235] predictive_accuracy 0.8346153846153846 predictive_accuracy 0.8538461538461539 predictive_accuracy 0.8576923076923078 predictive_accuracy 0.8769230769230769 predictive_accuracy 0.823076923076923 predictive_accuracy 0.85 predictive_accuracy 0.8461538461538461 predictive_accuracy 0.7615384615384616 predictive_accuracy 0.7923076923076923 predictive_accuracy 0.8538461538461539 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 relative_absolute_error 0.5840656495975388 relative_absolute_error 0.5517921216188865 relative_absolute_error 0.5699453147034406 relative_absolute_error 0.526844948415451 relative_absolute_error 0.5816886087117304 relative_absolute_error 0.5436648986568701 relative_absolute_error 0.5755153358980433 relative_absolute_error 0.6933798401235041 relative_absolute_error 0.6269070142945901 relative_absolute_error 0.5568525721531301 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.35193364707221403 root_mean_squared_error 0.34238806405546707 root_mean_squared_error 0.34703165472041947 root_mean_squared_error 0.32711955871036463 root_mean_squared_error 0.35214392064765887 root_mean_squared_error 0.33377797505514384 root_mean_squared_error 0.35051351466921904 root_mean_squared_error 0.3925764158688139 root_mean_squared_error 0.37957335717719765 root_mean_squared_error 0.3384273763850225 root_relative_squared_error 0.7038672941444282 root_relative_squared_error 0.6847761281109341 root_relative_squared_error 0.6940633094408389 root_relative_squared_error 0.6542391174207293 root_relative_squared_error 0.7042878412953177 root_relative_squared_error 0.6675559501102878 root_relative_squared_error 0.701027029338438 root_relative_squared_error 0.7851528317376278 root_relative_squared_error 0.7591467143543953 root_relative_squared_error 0.676854752770045 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 0.8346153846153845 [0.815385,0.853846] unweighted_recall 0.8538461538461539 [0.846154,0.861538] unweighted_recall 0.8576923076923078 [0.830769,0.884615] unweighted_recall 0.8769230769230769 [0.869231,0.884615] unweighted_recall 0.823076923076923 [0.784615,0.861538] unweighted_recall 0.8500000000000001 [0.807692,0.892308] unweighted_recall 0.8461538461538461 [0.807692,0.884615] unweighted_recall 0.7615384615384615 [0.8,0.723077] unweighted_recall 0.7923076923076924 [0.784615,0.8] unweighted_recall 0.8538461538461539 [0.830769,0.876923] weighted_recall 0.8346153846153846 [0.815385,0.853846] weighted_recall 0.8538461538461538 [0.846154,0.861538] weighted_recall 0.8576923076923076 [0.830769,0.884615] weighted_recall 0.8769230769230769 [0.869231,0.884615] weighted_recall 0.823076923076923 [0.784615,0.861538] weighted_recall 0.85 [0.807692,0.892308] weighted_recall 0.8461538461538461 [0.807692,0.884615] weighted_recall 0.7615384615384615 [0.8,0.723077] weighted_recall 0.7923076923076923 [0.784615,0.8] weighted_recall 0.8538461538461538 [0.830769,0.876923]