10418909 10580 Thomas Fan 14952 Supervised Classification 17373 sklearn.model_selection._search_successive_halving.HalvingRandomSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8255505 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 145 17372 scoring null 17372 tol 1e-07 17372 validation_fraction 0.1 17372 verbose 0 17372 warm_start false 17372 aggressive_elimination false 17373 cv 5 17373 error_score NaN 17373 force_exhaust_resources false 17373 max_resources "auto" 17373 min_resources "auto" 17373 n_candidates 100 17373 n_jobs 3 17373 param_distributions {"l2_regularization": [0, 0.01, 0.1], "learning_rate": [0.01, 0.1, 1], "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]} 17373 pre_dispatch "2*n_jobs" 17373 random_state 0 17373 ratio 3 17373 refit {"oml-python:serialized_object": "function", "value": "sklearn.model_selection._search_successive_halving._refit_callable"} 17373 resource "n_samples" 17373 return_train_score true 17373 scoring null 17373 verbose 1 17373 openml-python Sklearn_0.23.dev0. 4534 PhishingWebsites https://www.openml.org/data/download/1798106/phpV5QYya -1 21760294 description https://api.openml.org/data/download/21760294/description.xml -1 21760295 predictions https://api.openml.org/data/download/21760295/predictions.arff -1 21760296 trace https://api.openml.org/data/download/21760296/trace.arff area_under_roc_curve 0.9945437352393239 [0.994544,0.994544] average_cost 0 f_measure 0.9672285813149772 [0.962773,0.970773] kappa 0.9335488356637371 kb_relative_information_score 0.9033690030711419 mean_absolute_error 0.05140702715214534 mean_prior_absolute_error 0.4935162627341074 number_of_instances 11055 [4898,6157] precision 0.9672858422033865 [0.969954,0.965163] predictive_accuracy 0.9672546359113524 prior_entropy 0.990623923051704 recall 0.9672546359113523 [0.955696,0.97645] relative_absolute_error 0.10416480880963792 root_mean_prior_squared_error 0.49674696272345925 root_mean_squared_error 0.15388703428142067 root_relative_squared_error 0.3097895826835485 total_cost 0 area_under_roc_curve 0.9942800821627352 [0.99428,0.99428] area_under_roc_curve 0.9957278690697057 [0.995728,0.995728] area_under_roc_curve 0.9977753114232707 [0.997775,0.997775] area_under_roc_curve 0.9957328385899814 [0.995733,0.995733] area_under_roc_curve 0.9971690299496422 [0.997169,0.997169] area_under_roc_curve 0.9977840411122619 [0.997784,0.997784] area_under_roc_curve 0.9942003293230288 [0.9942,0.9942] area_under_roc_curve 0.9946192135390741 [0.994619,0.994619] area_under_roc_curve 0.9955964824954372 [0.995596,0.995596] area_under_roc_curve 0.9971113323378131 [0.997111,0.997111] 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 0.9637653345831297 [0.958506,0.967949] f_measure 0.9647620879755082 [0.960486,0.968163] f_measure 0.9710479039766345 [0.967146,0.974152] f_measure 0.9710045422247954 [0.966736,0.9744] f_measure 0.970153178724878 [0.966223,0.973279] f_measure 0.9719102711590358 [0.967942,0.97506] f_measure 0.9619744062128994 [0.956879,0.966019] f_measure 0.9637602757968963 [0.958763,0.967742] f_measure 0.9646705022493209 [0.959835,0.968523] f_measure 0.9692242828745896 [0.965235,0.972403] kappa 0.926470588235294 kappa 0.9286524789847856 kappa 0.9412994009195189 kappa 0.9411518227105545 kappa 0.9395029355115679 kappa 0.9430081640326694 kappa 0.922899292288268 kappa 0.9265109319145399 kappa 0.9283630470016208 kappa 0.9376379782554569 kb_relative_information_score 0.9270943470884935 kb_relative_information_score 0.888891395683934 kb_relative_information_score 0.9146211105664501 kb_relative_information_score 0.9146337125790255 kb_relative_information_score 0.9107717253865489 kb_relative_information_score 0.911007967871442 kb_relative_information_score 0.885162161112133 kb_relative_information_score 0.8811472064126863 kb_relative_information_score 0.8948868247926801 kb_relative_information_score 0.9054401834182392 mean_absolute_error 0.03590675129445283 mean_absolute_error 0.059088195531905724 mean_absolute_error 0.04578861656800945 mean_absolute_error 0.045023520265378585 mean_absolute_error 0.04770965434976404 mean_absolute_error 0.04809456266142752 mean_absolute_error 0.06113077598249124 mean_absolute_error 0.06418137755428928 mean_absolute_error 0.05610968534851812 mean_absolute_error 0.05105841558309082 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4934566542682659 mean_prior_absolute_error 0.4934566542682659 mean_prior_absolute_error 0.4935596990829386 mean_prior_absolute_error 0.4935596990829386 mean_prior_absolute_error 0.4935596990829386 number_of_instances 1106 [490,616] number_of_instances 1106 [490,616] number_of_instances 1106 [490,616] number_of_instances 1106 [490,616] number_of_instances 1106 [490,616] number_of_instances 1105 [489,616] number_of_instances 1105 [489,616] number_of_instances 1105 [490,615] number_of_instances 1105 [490,615] number_of_instances 1105 [490,615] precision 0.9641083159750039 [0.974684,0.955696] precision 0.9648644083327258 [0.953722,0.973727] precision 0.9710869102332476 [0.97314,0.969453] precision 0.9714672965888503 [0.985169,0.960568] precision 0.9701580786760765 [0.969199,0.970921] precision 0.9720708556829131 [0.979079,0.966507] precision 0.9619834263039333 [0.960825,0.962903] precision 0.9638800904977376 [0.96875,0.96] precision 0.9647651480230666 [0.968815,0.961538] precision 0.9692242290217685 [0.967213,0.970827] predictive_accuracy 0.9638336347197106 predictive_accuracy 0.964737793851718 predictive_accuracy 0.9710669077757685 predictive_accuracy 0.9710669077757685 predictive_accuracy 0.9701627486437613 predictive_accuracy 0.971945701357466 predictive_accuracy 0.9619909502262444 predictive_accuracy 0.9638009049773756 predictive_accuracy 0.9647058823529412 predictive_accuracy 0.9692307692307692 prior_entropy 0.9906174999681369 prior_entropy 0.9906174999681369 prior_entropy 0.9906174999681369 prior_entropy 0.9906174999681369 prior_entropy 0.9906174999681369 prior_entropy 0.9904511802323728 prior_entropy 0.9904511802323728 prior_entropy 0.9907497997579492 prior_entropy 0.9907497997579492 prior_entropy 0.9907497997579492 recall 0.9638336347197106 [0.942857,0.980519] recall 0.9647377938517179 [0.967347,0.962662] recall 0.9710669077757685 [0.961224,0.978896] recall 0.9710669077757685 [0.94898,0.988636] recall 0.9701627486437613 [0.963265,0.975649] recall 0.971945701357466 [0.957055,0.983766] recall 0.9619909502262444 [0.952965,0.969156] recall 0.9638009049773756 [0.94898,0.97561] recall 0.9647058823529412 [0.95102,0.97561] recall 0.9692307692307692 [0.963265,0.973984] relative_absolute_error 0.07275730359130003 relative_absolute_error 0.11972951119198363 relative_absolute_error 0.09278077677773552 relative_absolute_error 0.09123047378567133 relative_absolute_error 0.09667334639371938 relative_absolute_error 0.09746461466356289 relative_absolute_error 0.12388276752117262 relative_absolute_error 0.13003771919292004 relative_absolute_error 0.11368368497827726 relative_absolute_error 0.10344932067581734 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4966869602769276 root_mean_prior_squared_error 0.4966869602769276 root_mean_prior_squared_error 0.4967906815992094 root_mean_prior_squared_error 0.4967906815992094 root_mean_prior_squared_error 0.4967906815992094 root_mean_squared_error 0.16604273194261432 root_mean_squared_error 0.16180537903409212 root_mean_squared_error 0.13920864823850512 root_mean_squared_error 0.14808453971345464 root_mean_squared_error 0.14337752381887744 root_mean_squared_error 0.14003825508553416 root_mean_squared_error 0.16652413620963635 root_mean_squared_error 0.16677234822691847 root_mean_squared_error 0.15804178159742896 root_mean_squared_error 0.14514521575262798 root_relative_squared_error 0.3342616867729996 root_relative_squared_error 0.3257314445029278 root_relative_squared_error 0.28024182106130224 root_relative_squared_error 0.29810993501799193 root_relative_squared_error 0.2886342111836451 root_relative_squared_error 0.2819446981403657 root_relative_squared_error 0.33526979672828716 root_relative_squared_error 0.3356994291641397 root_relative_squared_error 0.3181254952059078 root_relative_squared_error 0.29216573725858497 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 wall_clock_time_millis 9653.370141983032 wall_clock_time_millis 10502.140045166016 wall_clock_time_millis 11036.417484283447 wall_clock_time_millis 12035.011291503906 wall_clock_time_millis 11180.561542510986 wall_clock_time_millis 9671.581745147705 wall_clock_time_millis 10612.707138061523 wall_clock_time_millis 9533.668279647827 wall_clock_time_millis 10640.971660614014 wall_clock_time_millis 11380.545854568481 wall_clock_time_millis_testing 2.1543502807617188 wall_clock_time_millis_testing 2.0096302032470703 wall_clock_time_millis_testing 2.119302749633789 wall_clock_time_millis_testing 2.1576881408691406 wall_clock_time_millis_testing 2.116680145263672 wall_clock_time_millis_testing 2.03704833984375 wall_clock_time_millis_testing 1.9655227661132812 wall_clock_time_millis_testing 1.8658638000488281 wall_clock_time_millis_testing 2.056121826171875 wall_clock_time_millis_testing 2.0380020141601562 wall_clock_time_millis_training 9651.21579170227 wall_clock_time_millis_training 10500.130414962769 wall_clock_time_millis_training 11034.298181533813 wall_clock_time_millis_training 12032.853603363037 wall_clock_time_millis_training 11178.444862365723 wall_clock_time_millis_training 9669.544696807861 wall_clock_time_millis_training 10610.74161529541 wall_clock_time_millis_training 9531.802415847778 wall_clock_time_millis_training 10638.915538787842 wall_clock_time_millis_training 11378.507852554321