10432858 10468 Nicolas Hug 146800 Supervised Classification 17371 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3) 8258408 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 60148 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. 40966 MiceProtein https://www.openml.org/data/download/17928620/phpchCuL5 -1 21788458 description https://api.openml.org/data/download/21788458/description.xml -1 21788459 predictions https://api.openml.org/data/download/21788459/predictions.arff -1 21788460 trace https://api.openml.org/data/download/21788460/trace.arff area_under_roc_curve 0.9999347919216497 [0.999814,0.999976,0.999914,1,0.99989,0.99998,0.999929,1] average_cost 0 f_measure 0.98981262319692 [0.983165,0.989011,0.993289,0.99631,0.981685,0.985507,0.98893,1] kappa 0.9883441993259651 kb_relative_information_score 0.9874498153728918 mean_absolute_error 0.00392801917250875 mean_prior_absolute_error 0.21846277573529482 weighted_recall 0.9898148148148148 [0.973333,1,0.986667,1,0.992593,0.971429,0.992593,1] number_of_instances 1080 [150,135,150,135,135,105,135,135] precision 0.9899572449752849 [0.993197,0.978261,1,0.992647,0.971014,1,0.985294,1] predictive_accuracy 0.9898148148148148 prior_entropy 2.9930272047960242 relative_absolute_error 0.01798026761899345 root_mean_prior_squared_error 0.33050012389723266 root_mean_squared_error 0.04458569309518844 root_relative_squared_error 0.13490371068378823 total_cost 0 unweighted_recall 0.9895767195767197 [0.973333,1,0.986667,1,0.992593,0.971429,0.992593,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 0.9996059443710829 [1,1,0.998566,1,1,1,0.998381,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 0.9998029721855415 [0.999283,1,1,1,0.99919,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] 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 0.9907270233196159 [1,1,1,0.962963,1,1,0.96,1] f_measure 1 [1,1,1,1,1,1,1,1] f_measure 0.9629139721732315 [0.965517,0.962963,0.928571,1,0.965517,0.952381,0.928571,1] f_measure 1 [1,1,1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1,1,1] f_measure 0.9813871596554109 [0.967742,1,1,1,0.923077,0.947368,1,1] f_measure 0.9906685437874522 [1,1,1,1,0.962963,0.947368,1,1] f_measure 0.9714677640603566 [0.888889,0.933333,1,1,0.962963,1,1,1] f_measure 1 [1,1,1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1,1,1] kappa 0.9894055326662742 kappa 1 kappa 0.9576345984112973 kappa 1 kappa 1 kappa 0.9787881763723854 kappa 0.9893961708394697 kappa 0.9682103610675039 kappa 1 kappa 1 kb_relative_information_score 0.9902471766939979 kb_relative_information_score 0.9991391869015661 kb_relative_information_score 0.958397140823815 kb_relative_information_score 0.9973131144346528 kb_relative_information_score 0.9986291148963466 kb_relative_information_score 0.9811029608199887 kb_relative_information_score 0.9942835352953555 kb_relative_information_score 0.9658949355788765 kb_relative_information_score 0.9958150236316528 kb_relative_information_score 0.9936687567623469 mean_absolute_error 0.0037139423868647317 mean_absolute_error 0.00043720440393125006 mean_absolute_error 0.010990752154144214 mean_absolute_error 0.0013173941868503084 mean_absolute_error 0.0006858144670471557 mean_absolute_error 0.005910156735374424 mean_absolute_error 0.0023216339442213574 mean_absolute_error 0.009258728600709126 mean_absolute_error 0.0017844818343467628 mean_absolute_error 0.0028600830115982157 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21843086192810454 mean_prior_absolute_error 0.21843086192810454 mean_prior_absolute_error 0.21843086192810454 mean_prior_absolute_error 0.21843086192810454 mean_prior_absolute_error 0.21843086192810454 number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,14,15,14,13,10,14,13] number_of_instances 108 [15,14,15,14,13,10,14,13] number_of_instances 108 [15,14,15,14,13,10,14,13] number_of_instances 108 [15,14,15,14,13,10,14,13] number_of_instances 108 [15,14,15,14,13,10,14,13] precision 0.9914021164021164 [1,1,1,0.928571,1,1,1,1] precision 1 [1,1,1,1,1,1,1,1] precision 0.9667107583774249 [1,0.928571,1,1,0.933333,1,0.866667,1] precision 1 [1,1,1,1,1,1,1,1] precision 1 [1,1,1,1,1,1,1,1] precision 0.9820601851851852 [0.9375,1,1,1,0.923077,1,1,1] precision 0.9914021164021164 [1,1,1,1,0.928571,1,1,1] precision 0.9751984126984127 [1,0.875,1,1,0.928571,1,1,1] precision 1 [1,1,1,1,1,1,1,1] precision 1 [1,1,1,1,1,1,1,1] predictive_accuracy 0.9907407407407408 predictive_accuracy 1 predictive_accuracy 0.9629629629629629 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9814814814814815 predictive_accuracy 0.9907407407407408 predictive_accuracy 0.9722222222222223 predictive_accuracy 1 predictive_accuracy 1 prior_entropy 2.9946917528825625 prior_entropy 2.9946917528825625 prior_entropy 2.9946917528825625 prior_entropy 2.9946917528825625 prior_entropy 2.9946917528825625 prior_entropy 2.991362656709533 prior_entropy 2.991362656709533 prior_entropy 2.991362656709533 prior_entropy 2.991362656709533 prior_entropy 2.991362656709533 relative_absolute_error 0.016997861113428117 relative_absolute_error 0.0020009841193245155 relative_absolute_error 0.050302147741706084 relative_absolute_error 0.006029410552763833 relative_absolute_error 0.003138815265868544 relative_absolute_error 0.027057333763210272 relative_absolute_error 0.0106286901206548 relative_absolute_error 0.04238745623664018 relative_absolute_error 0.008169549937197594 relative_absolute_error 0.013093767915174907 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.33045183928811195 root_mean_prior_squared_error 0.33045183928811195 root_mean_prior_squared_error 0.33045183928811195 root_mean_prior_squared_error 0.33045183928811195 root_mean_prior_squared_error 0.33045183928811195 root_mean_squared_error 0.036034568609020184 root_mean_squared_error 0.0040605004577538555 root_mean_squared_error 0.0914519513107034 root_mean_squared_error 0.01109000418152936 root_mean_squared_error 0.00670752950642569 root_mean_squared_error 0.05860485632750171 root_mean_squared_error 0.027266677735777792 root_mean_squared_error 0.06875904043505027 root_mean_squared_error 0.022783148262580596 root_mean_squared_error 0.02464843928931597 root_relative_squared_error 0.10901449969383839 root_relative_squared_error 0.012284132792360753 root_relative_squared_error 0.276667353127852 root_relative_squared_error 0.03355031860016131 root_relative_squared_error 0.02029212507740738 root_relative_squared_error 0.17734764755358415 root_relative_squared_error 0.08251331811170438 root_relative_squared_error 0.20807582909260533 root_relative_squared_error 0.06894544243319096 root_relative_squared_error 0.07459011074780453 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 0.9903846153846154 [1,1,1,1,1,1,0.923077,1] unweighted_recall 1 [1,1,1,1,1,1,1,1] unweighted_recall 0.9636363636363636 [0.933333,1,0.866667,1,1,0.909091,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1] unweighted_recall 0.9778846153846155 [1,1,1,1,0.923077,0.9,1,1] unweighted_recall 0.9875 [1,1,1,1,1,0.9,1,1] unweighted_recall 0.975 [0.8,1,1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1] weighted_recall 0.9907407407407407 [1,1,1,1,1,1,0.923077,1] weighted_recall 1 [1,1,1,1,1,1,1,1] weighted_recall 0.9629629629629629 [0.933333,1,0.866667,1,1,0.909091,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1] weighted_recall 0.9814814814814815 [1,1,1,1,0.923077,0.9,1,1] weighted_recall 0.9907407407407407 [1,1,1,1,1,0.9,1,1] weighted_recall 0.9722222222222222 [0.8,1,1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1]