10432910 10468 Nicolas Hug 146819 Supervised Classification 17371 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3) 8258460 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 1437 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. 40994 climate-model-simulation-crashes https://www.openml.org/data/download/18237248/phpJem85A -1 21788613 description https://api.openml.org/data/download/21788613/description.xml -1 21788614 predictions https://api.openml.org/data/download/21788614/predictions.arff -1 21788615 trace https://api.openml.org/data/download/21788615/trace.arff area_under_roc_curve 0.9425717303291674 [0.942572,0.942572] average_cost 0 f_measure 0.9381847055803318 [0.594595,0.970179] kappa 0.5666595334902629 kb_relative_information_score 0.5476387526856097 mean_absolute_error 0.0554274736696859 mean_prior_absolute_error 0.15712723793904684 weighted_recall 0.9444444444444444 [0.478261,0.987854] number_of_instances 540 [46,494] precision 0.9388640873015872 [0.785714,0.953125] predictive_accuracy 0.9444444444444444 prior_entropy 0.420212492518953 relative_absolute_error 0.3527553490833171 root_mean_prior_squared_error 0.2791612659332496 root_mean_squared_error 0.2068104540200061 root_relative_squared_error 0.7408278986292341 total_cost 0 unweighted_recall 0.7330575602886815 [0.478261,0.987854] area_under_roc_curve 0.865 [0.865,0.865] area_under_roc_curve 0.975 [0.975,0.975] area_under_roc_curve 0.9049999999999999 [0.905,0.905] area_under_roc_curve 0.985 [0.985,0.985] area_under_roc_curve 0.9428571428571428 [0.942857,0.942857] area_under_roc_curve 0.9265306122448979 [0.926531,0.926531] area_under_roc_curve 0.9714285714285714 [0.971429,0.971429] area_under_roc_curve 0.9959183673469387 [0.995918,0.995918] area_under_roc_curve 0.946938775510204 [0.946939,0.946939] area_under_roc_curve 1 [1,1] 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 0.9407512179789406 [0.571429,0.970297] f_measure 0.9407512179789406 [0.571429,0.970297] f_measure 0.9143064633260712 [0.333333,0.960784] f_measure 0.9629629629629629 [0.75,0.98] f_measure 0.9587037037037036 [0.75,0.98] f_measure 0.9174074074074073 [0.5,0.96] f_measure 0.9333647650479333 [0.571429,0.970297] f_measure 0.9629629629629629 [0.8,0.979592] f_measure 0.9333647650479333 [0.571429,0.970297] f_measure 0.9026870007262163 [0.333333,0.960784] kappa 0.5423728813559318 kappa 0.5423728813559318 kappa 0.29870129870129875 kappa 0.7299999999999996 kappa 0.7313432835820891 kappa 0.46268656716417905 kappa 0.5474860335195529 kappa 0.7795918367346936 kappa 0.5474860335195529 kappa 0.3121019108280258 kb_relative_information_score 0.5257315827507638 kb_relative_information_score 0.43744968753344415 kb_relative_information_score 0.30655803467764087 kb_relative_information_score 0.6174596030834837 kb_relative_information_score 0.6328348706157603 kb_relative_information_score 0.36767337326359933 kb_relative_information_score 0.5538615515629125 kb_relative_information_score 0.7074975563658203 kb_relative_information_score 0.6224177713409323 kb_relative_information_score 0.6620593432088091 mean_absolute_error 0.053717605044310036 mean_absolute_error 0.059149618728934594 mean_absolute_error 0.07102142313169582 mean_absolute_error 0.04307756549185172 mean_absolute_error 0.05345314934907372 mean_absolute_error 0.07187688486309199 mean_absolute_error 0.0580347364125494 mean_absolute_error 0.03359719982387962 mean_absolute_error 0.05487470328858981 mean_absolute_error 0.05547185056288266 mean_prior_absolute_error 0.1479431460981276 mean_prior_absolute_error 0.1479431460981276 mean_prior_absolute_error 0.1479431460981276 mean_prior_absolute_error 0.1479431460981276 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 mean_prior_absolute_error 0.1632499658329916 number_of_instances 54 [4,50] number_of_instances 54 [4,50] number_of_instances 54 [4,50] number_of_instances 54 [4,50] number_of_instances 54 [5,49] number_of_instances 54 [5,49] number_of_instances 54 [5,49] number_of_instances 54 [5,49] number_of_instances 54 [5,49] number_of_instances 54 [5,49] precision 0.9389978213507625 [0.666667,0.960784] precision 0.9389978213507625 [0.666667,0.960784] precision 0.9095441595441595 [0.5,0.942308] precision 0.9629629629629629 [0.75,0.98] precision 0.9644153957879448 [1,0.960784] precision 0.9157588961510531 [0.666667,0.941176] precision 0.9476495726495726 [1,0.942308] precision 0.9629629629629629 [0.8,0.979592] precision 0.9476495726495726 [1,0.942308] precision 0.9315164220824599 [1,0.924528] predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9259259259259259 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9259259259259259 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9629629629629629 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9259259259259259 prior_entropy 0.3824714273712947 prior_entropy 0.3824714273712947 prior_entropy 0.3824714273712947 prior_entropy 0.3824714273712947 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 prior_entropy 0.4453732026173935 relative_absolute_error 0.3630962735420016 relative_absolute_error 0.3998131734315147 relative_absolute_error 0.4800588942767839 relative_absolute_error 0.2911764865624749 relative_absolute_error 0.32743130497042494 relative_absolute_error 0.4402872888599785 relative_absolute_error 0.35549616268783946 relative_absolute_error 0.20580218594502075 relative_absolute_error 0.3361391410319061 relative_absolute_error 0.33979701177782556 root_mean_prior_squared_error 0.2621963397085025 root_mean_prior_squared_error 0.2621963397085025 root_mean_prior_squared_error 0.2621963397085025 root_mean_prior_squared_error 0.2621963397085025 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_prior_squared_error 0.2899202309108498 root_mean_squared_error 0.20416437774938412 root_mean_squared_error 0.19904814489037995 root_mean_squared_error 0.25303846113264117 root_mean_squared_error 0.17090097458025286 root_mean_squared_error 0.1854745032513439 root_mean_squared_error 0.24763347867750407 root_mean_squared_error 0.2095433597044925 root_mean_squared_error 0.17415463665854825 root_mean_squared_error 0.20633841749556256 root_mean_squared_error 0.2015684626867891 root_relative_squared_error 0.7786698242102252 root_relative_squared_error 0.759156840677762 root_relative_squared_error 0.965072439279501 root_relative_squared_error 0.6518053408764307 root_relative_squared_error 0.6397432240883429 root_relative_squared_error 0.8541434928480419 root_relative_squared_error 0.7227621164834368 root_relative_squared_error 0.6006984614747379 root_relative_squared_error 0.711707550891857 root_relative_squared_error 0.6952549053010766 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 0.74 [0.5,0.98] unweighted_recall 0.74 [0.5,0.98] unweighted_recall 0.615 [0.25,0.98] unweighted_recall 0.865 [0.75,0.98] unweighted_recall 0.8 [0.6,1] unweighted_recall 0.689795918367347 [0.4,0.979592] unweighted_recall 0.7 [0.4,1] unweighted_recall 0.889795918367347 [0.8,0.979592] unweighted_recall 0.7 [0.4,1] unweighted_recall 0.6 [0.2,1] weighted_recall 0.9444444444444444 [0.5,0.98] weighted_recall 0.9444444444444444 [0.5,0.98] weighted_recall 0.9259259259259259 [0.25,0.98] weighted_recall 0.9629629629629629 [0.75,0.98] weighted_recall 0.9629629629629629 [0.6,1] weighted_recall 0.9259259259259259 [0.4,0.979592] weighted_recall 0.9444444444444444 [0.4,1] weighted_recall 0.9629629629629629 [0.8,0.979592] weighted_recall 0.9444444444444444 [0.4,1] weighted_recall 0.9259259259259259 [0.2,1]