10418916 10580 Thomas Fan 146195 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. 40668 connect-4 https://www.openml.org/data/download/4965243/connect-4.arff -1 21760315 description https://api.openml.org/data/download/21760315/description.xml -1 21760316 predictions https://api.openml.org/data/download/21760316/predictions.arff -1 21760317 trace https://api.openml.org/data/download/21760317/trace.arff area_under_roc_curve 0.8703180177283033 [0.774059,0.883034,0.87952] average_cost 0 f_measure 0.6769537787930535 [0.00062,0.514309,0.835865] kappa 0.3266611225850772 kb_relative_information_score 0.23369393252111362 mean_absolute_error 0.26887723860884144 mean_prior_absolute_error 0.3312661139316681 number_of_instances 67557 [6449,16635,44473] precision 0.7256467863496688 [0.5,0.803834,0.729122] predictive_accuracy 0.7377621860058913 prior_entropy 1.2184443574876134 recall 0.7377621860058913 [0.00031,0.378118,0.979223] relative_absolute_error 0.8116653871343571 root_mean_prior_squared_error 0.4069773263039227 root_mean_squared_error 0.34762436495494586 root_relative_squared_error 0.8541615035707095 total_cost 0 area_under_roc_curve 0.8674039744092702 [0.762244,0.884053,0.876429] area_under_roc_curve 0.8674715873479584 [0.768889,0.880827,0.876774] area_under_roc_curve 0.864318158498013 [0.777485,0.878201,0.871719] area_under_roc_curve 0.8592481417286784 [0.754373,0.870879,0.870107] area_under_roc_curve 0.8777689359306993 [0.782221,0.889928,0.887078] area_under_roc_curve 0.8771953455125937 [0.792099,0.889002,0.88512] area_under_roc_curve 0.8630155107346379 [0.773521,0.877492,0.870579] area_under_roc_curve 0.8844408547144017 [0.79203,0.894039,0.894232] area_under_roc_curve 0.8657362468152924 [0.770473,0.877341,0.875214] area_under_roc_curve 0.8760915366641974 [0.766162,0.888561,0.887373] 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 0.6786597136236343 [0.003096,0.518852,0.836371] f_measure 0.6774611479659371 [0,0.515759,0.836228] f_measure 0.6866015446443703 [0.003096,0.547891,0.837642] f_measure 0.6893644480001517 [0,0.550922,0.840999] kappa 0.31521047735320246 kappa 0.3297481683610167 kappa 0.3088931426625946 kappa 0.2950761673645249 kappa 0.3278732756739032 kappa 0.35036174029062894 kappa 0.3175102354261922 kappa 0.3559743665087468 kappa 0.323649448311277 kappa 0.34134972088601345 kb_relative_information_score 0.22564391499809772 kb_relative_information_score 0.23535262070268267 kb_relative_information_score 0.23377104801535675 kb_relative_information_score 0.207721836249017 kb_relative_information_score 0.24069375264227047 kb_relative_information_score 0.24840971399822123 kb_relative_information_score 0.2275086493683654 kb_relative_information_score 0.2506939183241844 kb_relative_information_score 0.22487915116141746 kb_relative_information_score 0.2422705709126879 mean_absolute_error 0.27066436110903835 mean_absolute_error 0.26801235485598435 mean_absolute_error 0.26897112247281585 mean_absolute_error 0.27662722347060936 mean_absolute_error 0.2669927038962249 mean_absolute_error 0.2646656608501005 mean_absolute_error 0.27162207502408686 mean_absolute_error 0.26426813686385586 mean_absolute_error 0.27095787311672936 mean_absolute_error 0.2659900728255086 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33124674360604567 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33128740361684467 mean_prior_absolute_error 0.33124717680195626 mean_prior_absolute_error 0.33126205661307934 mean_prior_absolute_error 0.33126205661307934 number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1663,4448] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6756 [645,1664,4447] number_of_instances 6755 [644,1664,4447] number_of_instances 6755 [645,1663,4447] number_of_instances 6755 [645,1663,4447] precision 0.7761852612872369 [1,0.814672,0.729341] precision 0.6792038968499577 [0,0.808729,0.72925] precision 0.775655467003017 [1,0.796105,0.735464] precision 0.6885278275912502 [0,0.827711,0.736158] predictive_accuracy 0.7356423919478982 predictive_accuracy 0.7391947898164594 predictive_accuracy 0.7307578448786264 predictive_accuracy 0.728389579632919 predictive_accuracy 0.7383066903493192 predictive_accuracy 0.7433392539964475 predictive_accuracy 0.734162226169331 predictive_accuracy 0.7472982975573649 predictive_accuracy 0.736639526276832 predictive_accuracy 0.7438934122871947 prior_entropy 1.2183532771387544 prior_entropy 1.2183532771387544 prior_entropy 1.2183532771387544 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.218563261386341 prior_entropy 1.2182419830738163 prior_entropy 1.21844434244087 prior_entropy 1.21844434244087 recall 0.7356423919478982 [0,0.359591,0.982914] recall 0.7391947898164595 [0.00155,0.380637,0.980216] recall 0.7307578448786264 [0,0.361996,0.974595] recall 0.7283895796329188 [0,0.336538,0.980661] recall 0.7383066903493192 [0,0.378606,0.979987] recall 0.7433392539964476 [0.00155,0.417668,0.972791] recall 0.7341622261693309 [0,0.369591,0.977063] recall 0.7472982975573649 [0,0.412861,0.980661] recall 0.7366395262768319 [0,0.375225,0.978637] recall 0.7438934122871946 [0,0.388455,0.984709] relative_absolute_error 0.8171079907458398 relative_absolute_error 0.8091018554275466 relative_absolute_error 0.8119962766870406 relative_absolute_error 0.835006765879172 relative_absolute_error 0.8059247076143566 relative_absolute_error 0.7989004651568447 relative_absolute_error 0.8198985897400294 relative_absolute_error 0.7977974013703206 relative_absolute_error 0.8179562606326916 relative_absolute_error 0.8029596735136808 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.40695352781344096 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.4070034813249195 root_mean_prior_squared_error 0.40695406005557394 root_mean_prior_squared_error 0.40697234157475465 root_mean_prior_squared_error 0.40697234157475465 root_mean_squared_error 0.34958679030006945 root_mean_squared_error 0.3477903928046406 root_mean_squared_error 0.34887161865049576 root_mean_squared_error 0.3537488434747467 root_mean_squared_error 0.3457558674096818 root_mean_squared_error 0.3438587838669086 root_mean_squared_error 0.34941378498599107 root_mean_squared_error 0.34250825288217224 root_mean_squared_error 0.34966661622296724 root_mean_squared_error 0.34489570265202085 root_relative_squared_error 0.8590336891251376 root_relative_squared_error 0.8546194320351919 root_relative_squared_error 0.8572763099634031 root_relative_squared_error 0.8691543431598845 root_relative_squared_error 0.8495157493104034 root_relative_squared_error 0.8448546502539591 root_relative_squared_error 0.8585031849077641 root_relative_squared_error 0.8416386184607645 root_relative_squared_error 0.8591901230190574 root_relative_squared_error 0.8474671799991812 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 25816.59698486328 wall_clock_time_millis 27886.281967163086 wall_clock_time_millis 29263.18383216858 wall_clock_time_millis 24728.29842567444 wall_clock_time_millis 26772.599458694458 wall_clock_time_millis 29603.30891609192 wall_clock_time_millis 26703.76181602478 wall_clock_time_millis 27621.22631072998 wall_clock_time_millis 25681.884765625 wall_clock_time_millis 32918.463468551636 wall_clock_time_millis_testing 20.985841751098633 wall_clock_time_millis_testing 22.617816925048828 wall_clock_time_millis_testing 21.00205421447754 wall_clock_time_millis_testing 19.31929588317871 wall_clock_time_millis_testing 21.439790725708008 wall_clock_time_millis_testing 23.034095764160156 wall_clock_time_millis_testing 21.023988723754883 wall_clock_time_millis_testing 22.650718688964844 wall_clock_time_millis_testing 21.040678024291992 wall_clock_time_millis_testing 22.446393966674805 wall_clock_time_millis_training 25795.611143112183 wall_clock_time_millis_training 27863.664150238037 wall_clock_time_millis_training 29242.1817779541 wall_clock_time_millis_training 24708.97912979126 wall_clock_time_millis_training 26751.15966796875 wall_clock_time_millis_training 29580.27482032776 wall_clock_time_millis_training 26682.737827301025 wall_clock_time_millis_training 27598.575592041016 wall_clock_time_millis_training 25660.844087600708 wall_clock_time_millis_training 32896.01707458496