10432883 10468 Nicolas Hug 3902 Supervised Classification 17371 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3) 8258433 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 5749 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. 1049 pc4 https://www.openml.org/data/download/53932/pc4.arff -1 21788532 description https://api.openml.org/data/download/21788532/description.xml -1 21788533 predictions https://api.openml.org/data/download/21788533/predictions.arff -1 21788534 trace https://api.openml.org/data/download/21788534/trace.arff area_under_roc_curve 0.9351211376404494 [0.935121,0.935121] average_cost 0 f_measure 0.9112770749716336 [0.95216,0.617284] kappa 0.569968792814736 kb_relative_information_score 0.458172944166696 mean_absolute_error 0.09059080713955767 mean_prior_absolute_error 0.21475186500554347 weighted_recall 0.9149519890260631 [0.964063,0.561798] number_of_instances 1458 [1280,178] precision 0.9093417333632157 [0.940549,0.684932] predictive_accuracy 0.914951989026063 prior_entropy 0.5353265209893541 relative_absolute_error 0.4218394431043438 root_mean_prior_squared_error 0.3273844178757506 root_mean_squared_error 0.2612631667321154 root_relative_squared_error 0.7980317708073399 total_cost 0 unweighted_recall 0.7629301264044944 [0.964063,0.561798] area_under_roc_curve 0.9457465277777777 [0.945747,0.945747] area_under_roc_curve 0.9322916666666665 [0.932292,0.932292] area_under_roc_curve 0.9613715277777777 [0.961372,0.961372] area_under_roc_curve 0.9587673611111112 [0.958767,0.958767] area_under_roc_curve 0.9709201388888888 [0.97092,0.97092] area_under_roc_curve 0.9366319444444444 [0.936632,0.936632] area_under_roc_curve 0.9084201388888888 [0.90842,0.90842] area_under_roc_curve 0.9652777777777777 [0.965278,0.965278] area_under_roc_curve 0.9250919117647058 [0.925092,0.925092] area_under_roc_curve 0.9641544117647058 [0.964154,0.964154] 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 0.9157093866536739 [0.953488,0.647059] f_measure 0.9016609510959528 [0.945736,0.588235] f_measure 0.9074272635916473 [0.949807,0.606061] f_measure 0.9133034773445734 [0.953846,0.625] f_measure 0.9438062577691158 [0.968992,0.764706] f_measure 0.9016609510959528 [0.945736,0.588235] f_measure 0.8699552160168599 [0.930769,0.4375] f_measure 0.9193032000717861 [0.957854,0.645161] f_measure 0.9093220020306095 [0.954198,0.571429] f_measure 0.9291466185511894 [0.96124,0.6875] kappa 0.6007292616226071 kappa 0.534184138559708 kappa 0.5563347358578775 kappa 0.579654510556622 kappa 0.7338195077484048 kappa 0.534184138559708 kappa 0.36948176583493264 kappa 0.6042385411532776 kappa 0.5279435702658706 kappa 0.6489104116222758 kb_relative_information_score 0.4265324192633254 kb_relative_information_score 0.4187478463378613 kb_relative_information_score 0.43987192894036065 kb_relative_information_score 0.49709295567180656 kb_relative_information_score 0.6389844208554857 kb_relative_information_score 0.3890078552804405 kb_relative_information_score 0.2996807658835525 kb_relative_information_score 0.5340807332421358 kb_relative_information_score 0.3368725762828154 kb_relative_information_score 0.6017141186130428 mean_absolute_error 0.09442471428426952 mean_absolute_error 0.10302985879160657 mean_absolute_error 0.10081322269760778 mean_absolute_error 0.08235597340397342 mean_absolute_error 0.06124091247839797 mean_absolute_error 0.09889490986055478 mean_absolute_error 0.11251877749265837 mean_absolute_error 0.07689490044644444 mean_absolute_error 0.10794988222419723 mean_absolute_error 0.06774735549283957 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.2156595984237191 mean_prior_absolute_error 0.21109589041095872 mean_prior_absolute_error 0.21109589041095872 number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 146 [128,18] number_of_instances 145 [128,17] number_of_instances 145 [128,17] precision 0.9142650158061116 [0.946154,0.6875] precision 0.8998155953635406 [0.938462,0.625] precision 0.905364425389522 [0.938931,0.666667] precision 0.9116408705449802 [0.939394,0.714286] precision 0.943163856691254 [0.961538,0.8125] precision 0.8998155953635406 [0.938462,0.625] precision 0.865296803652968 [0.916667,0.5] precision 0.9188144227798156 [0.93985,0.769231] precision 0.9087353202638844 [0.932836,0.727273] precision 0.9279929266136162 [0.953846,0.733333] predictive_accuracy 0.9178082191780823 predictive_accuracy 0.904109589041096 predictive_accuracy 0.910958904109589 predictive_accuracy 0.9178082191780823 predictive_accuracy 0.9452054794520548 predictive_accuracy 0.904109589041096 predictive_accuracy 0.8767123287671232 predictive_accuracy 0.9246575342465754 predictive_accuracy 0.9172413793103448 predictive_accuracy 0.9310344827586207 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.5387410557229455 prior_entropy 0.521574187993427 prior_entropy 0.521574187993427 relative_absolute_error 0.4378414639294085 relative_absolute_error 0.47774297802956 relative_absolute_error 0.46746457581514234 relative_absolute_error 0.3818794711940611 relative_absolute_error 0.2839702611245447 relative_absolute_error 0.45856947978846796 relative_absolute_error 0.5217424975056576 relative_absolute_error 0.3565568192117492 relative_absolute_error 0.5113784167661521 relative_absolute_error 0.3209316645669885 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.32876783675721666 root_mean_prior_squared_error 0.3217523620321372 root_mean_prior_squared_error 0.3217523620321372 root_mean_squared_error 0.26190899155752134 root_mean_squared_error 0.2912125893952161 root_mean_squared_error 0.23280624113006326 root_mean_squared_error 0.25745716196587176 root_mean_squared_error 0.21523808777887132 root_mean_squared_error 0.2779051547368682 root_mean_squared_error 0.3102390901875288 root_mean_squared_error 0.25995334036157824 root_mean_squared_error 0.24719691664323507 root_mean_squared_error 0.24516630086713062 root_relative_squared_error 0.7966381205073044 root_relative_squared_error 0.8857697038359207 root_relative_squared_error 0.7081174467257343 root_relative_squared_error 0.7830971682184188 root_relative_squared_error 0.6546810962467019 root_relative_squared_error 0.8452930112567284 root_relative_squared_error 0.9436418514887432 root_relative_squared_error 0.7906896943618744 root_relative_squared_error 0.7682831450932583 root_relative_squared_error 0.7619720312811347 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 0.7860243055555556 [0.960938,0.611111] unweighted_recall 0.7543402777777778 [0.953125,0.555556] unweighted_recall 0.7582465277777778 [0.960938,0.555556] unweighted_recall 0.7621527777777778 [0.96875,0.555556] unweighted_recall 0.8493923611111112 [0.976562,0.722222] unweighted_recall 0.7543402777777778 [0.953125,0.555556] unweighted_recall 0.6671006944444444 [0.945312,0.388889] unweighted_recall 0.7660590277777778 [0.976562,0.555556] unweighted_recall 0.7235753676470589 [0.976562,0.470588] unweighted_recall 0.8079044117647058 [0.96875,0.647059] weighted_recall 0.9178082191780822 [0.960938,0.611111] weighted_recall 0.9041095890410958 [0.953125,0.555556] weighted_recall 0.910958904109589 [0.960938,0.555556] weighted_recall 0.9178082191780822 [0.96875,0.555556] weighted_recall 0.9452054794520548 [0.976562,0.722222] weighted_recall 0.9041095890410958 [0.953125,0.555556] weighted_recall 0.8767123287671232 [0.945312,0.388889] weighted_recall 0.9246575342465754 [0.976562,0.555556] weighted_recall 0.9172413793103448 [0.976562,0.470588] weighted_recall 0.9310344827586207 [0.96875,0.647059]