10437711 10468 Nicolas Hug 9977 Supervised Classification 17374 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8260852 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 32266 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. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21799632 description https://api.openml.org/data/download/21799632/description.xml -1 21799633 predictions https://api.openml.org/data/download/21799633/predictions.arff -1 21799634 trace https://api.openml.org/data/download/21799634/trace.arff area_under_roc_curve 0.9953570674291005 [0.995357,0.995357] average_cost 0 f_measure 0.9724744613151382 [0.951736,0.980766] kappa 0.9325023326829008 kb_relative_information_score 0.9168418927515245 mean_absolute_error 0.03315647202346341 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9724938343246772 [0.949512,0.981682] number_of_instances 34465 [9844,24621] precision 0.9724592907129305 [0.95397,0.979852] predictive_accuracy 0.9724938343246773 prior_entropy 0.8629999933345911 relative_absolute_error 0.08124785694834352 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.14495007837511117 root_relative_squared_error 0.3208914092986358 total_cost 0 unweighted_recall 0.9655973485302525 [0.949512,0.981682] area_under_roc_curve 0.9960110860243804 [0.996011,0.996011] area_under_roc_curve 0.9960355783544392 [0.996036,0.996036] area_under_roc_curve 0.99472881195182 [0.994729,0.994729] area_under_roc_curve 0.9955877562297171 [0.995588,0.995588] area_under_roc_curve 0.9960491862090578 [0.996049,0.996049] area_under_roc_curve 0.9952749268556861 [0.995275,0.995275] area_under_roc_curve 0.9959419765806106 [0.995942,0.995942] area_under_roc_curve 0.997088261906177 [0.997088,0.997088] area_under_roc_curve 0.9951065133112744 [0.995107,0.995107] area_under_roc_curve 0.9951449016927212 [0.995145,0.995145] 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 0.975352129136489 [0.956875,0.982734] f_measure 0.9704090513489991 [0.948223,0.979285] f_measure 0.9690283744897963 [0.946096,0.978203] f_measure 0.9744705541050188 [0.95533,0.982128] f_measure 0.9755859302156581 [0.957099,0.982982] f_measure 0.9700595817224865 [0.947368,0.979129] f_measure 0.9704540040845081 [0.948485,0.979235] f_measure 0.9755557986641199 [0.956923,0.983003] f_measure 0.9703363867248224 [0.947799,0.979344] f_measure 0.9735062305492104 [0.953261,0.981598] kappa 0.939608844136836 kappa 0.927508484291175 kappa 0.9243007658608522 kappa 0.9374583001727784 kappa 0.9400821452457736 kappa 0.9264980146855698 kappa 0.9277204463461699 kappa 0.9399279294535439 kappa 0.9271447297184136 kappa 0.9348619847458902 kb_relative_information_score 0.9214030914710886 kb_relative_information_score 0.9133372137059738 kb_relative_information_score 0.9013195642239943 kb_relative_information_score 0.9265308192819006 kb_relative_information_score 0.9279383521260278 kb_relative_information_score 0.906566748409727 kb_relative_information_score 0.9126256324139629 kb_relative_information_score 0.9214341973716271 kb_relative_information_score 0.9155560050459296 kb_relative_information_score 0.9217054901093801 mean_absolute_error 0.0319441007889005 mean_absolute_error 0.03445079115409018 mean_absolute_error 0.03977500586022852 mean_absolute_error 0.028788884341437407 mean_absolute_error 0.028295387770162318 mean_absolute_error 0.03755570509320016 mean_absolute_error 0.03434817072224096 mean_absolute_error 0.03217409363174136 mean_absolute_error 0.03353150667373405 mean_absolute_error 0.030701807858270213 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 0.9753651693071725 [0.95542,0.983333] precision 0.9704090513489991 [0.948223,0.979285] precision 0.9691421589985025 [0.939,0.981201] precision 0.9744705541050188 [0.95533,0.982128] precision 0.9755697225630829 [0.963001,0.980598] precision 0.9700329358974835 [0.952724,0.976951] precision 0.9705357918818011 [0.942771,0.981633] precision 0.9755528886993688 [0.965839,0.979435] precision 0.9703113455476854 [0.954639,0.976575] precision 0.9735085260431886 [0.963655,0.977447] predictive_accuracy 0.975340876124166 predictive_accuracy 0.9704090513489991 predictive_accuracy 0.9689585146504207 predictive_accuracy 0.9744705541050189 predictive_accuracy 0.9756309834638816 predictive_accuracy 0.9701102727800348 predictive_accuracy 0.9704004643064422 predictive_accuracy 0.9756239117817759 predictive_accuracy 0.9704004643064422 predictive_accuracy 0.973592571096924 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 0.07828996931465125 relative_absolute_error 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root_mean_squared_error 0.13929542268000486 root_mean_squared_error 0.14118595405664483 root_mean_squared_error 0.15027204544001693 root_mean_squared_error 0.1479534458854495 root_mean_squared_error 0.13217786401810144 root_mean_squared_error 0.14608253891375655 root_mean_squared_error 0.1479562488298329 root_relative_squared_error 0.3100227003383399 root_relative_squared_error 0.33057070894495794 root_relative_squared_error 0.34066518306785293 root_relative_squared_error 0.30833013566468065 root_relative_squared_error 0.3125148230336032 root_relative_squared_error 0.33269930176120155 root_relative_squared_error 0.3275659687410137 root_relative_squared_error 0.2926391461455337 root_relative_squared_error 0.323423818141281 root_relative_squared_error 0.32757217440379344 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 0.9702344701583435 [0.958333,0.982136] unweighted_recall 0.9637542421455876 [0.948223,0.979285] unweighted_recall 0.9642614439995547 [0.953299,0.975223] unweighted_recall 0.9687291500863893 [0.95533,0.982128] unweighted_recall 0.9683233886032157 [0.951269,0.985378] unweighted_recall 0.961694586990549 [0.942073,0.981316] unweighted_recall 0.9655581918329337 [0.954268,0.976848] unweighted_recall 0.9673834974539834 [0.948171,0.986596] unweighted_recall 0.9615926307516527 [0.941057,0.982128] unweighted_recall 0.9644366732050749 [0.943089,0.985784] usercpu_time_millis 6755.271137999999 usercpu_time_millis 6837.564277000002 usercpu_time_millis 6672.142913999998 usercpu_time_millis 6552.710294 usercpu_time_millis 7415.171051000002 usercpu_time_millis 6496.336396999994 usercpu_time_millis 7082.229839999996 usercpu_time_millis 6970.414201000004 usercpu_time_millis 6394.678522999996 usercpu_time_millis 7021.876461000004 usercpu_time_millis_testing 23.035302000000257 usercpu_time_millis_testing 22.36161000000081 usercpu_time_millis_testing 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wall_clock_time_millis_training 114817.85893440247 wall_clock_time_millis_training 113684.13519859314 wall_clock_time_millis_training 114680.74202537537 wall_clock_time_millis_training 112511.14749908447 wall_clock_time_millis_training 114348.34098815918 weighted_recall 0.975340876124166 [0.958333,0.982136] weighted_recall 0.9704090513489991 [0.948223,0.979285] weighted_recall 0.9689585146504207 [0.953299,0.975223] weighted_recall 0.9744705541050188 [0.95533,0.982128] weighted_recall 0.9756309834638817 [0.951269,0.985378] weighted_recall 0.9701102727800348 [0.942073,0.981316] weighted_recall 0.9704004643064422 [0.954268,0.976848] weighted_recall 0.975623911781776 [0.948171,0.986596] weighted_recall 0.9704004643064422 [0.941057,0.982128] weighted_recall 0.973592571096924 [0.943089,0.985784]