10432916 10468 Nicolas Hug 2074 Supervised Classification 17371 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3) 8258466 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 49633 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. 182 satimage https://www.openml.org/data/download/3619/dataset_186_satimage.arff -1 21788631 description https://api.openml.org/data/download/21788631/description.xml -1 21788632 predictions https://api.openml.org/data/download/21788632/predictions.arff -1 21788633 trace https://api.openml.org/data/download/21788633/trace.arff area_under_roc_curve 0.9926651349435793 [0.999358,0.999699,0.993533,0.966857,0.994934,0.991442] average_cost 0 f_measure 0.9220900588887886 [0.981083,0.980728,0.922302,0.730703,0.917496,0.916146] kappa 0.9051727245383101 kb_relative_information_score 0.9097392209817802 mean_absolute_error 0.026781552460340984 mean_prior_absolute_error 0.27012071805786425 weighted_recall 0.9233281493001555 [0.982364,0.97724,0.945428,0.6816,0.912306,0.92374] number_of_instances 6430 [1531,703,1356,625,707,1508] precision 0.9218650296725792 [0.979805,0.984241,0.900281,0.787431,0.922747,0.908676] predictive_accuracy 0.9233281493001556 prior_entropy 2.48336197589723 relative_absolute_error 0.09914660620220897 root_mean_prior_squared_error 0.3675007345009808 root_mean_squared_error 0.14659744167634095 root_relative_squared_error 0.39890380593497754 total_cost 0 unweighted_recall 0.9037796939818499 [0.982364,0.97724,0.945428,0.6816,0.912306,0.92374] area_under_roc_curve 0.991782269078642 [0.999813,0.999975,0.992255,0.969841,0.993618,0.987724] area_under_roc_curve 0.9949598854797469 [0.99984,0.999726,0.997172,0.974302,0.998803,0.992651] area_under_roc_curve 0.9941679815589342 [0.99952,0.999551,0.993336,0.974631,0.997612,0.993526] area_under_roc_curve 0.9917049390159451 [0.998093,1,0.994678,0.962124,0.991037,0.991385] area_under_roc_curve 0.99074422197042 [0.999053,0.999701,0.989866,0.952682,0.995026,0.992826] area_under_roc_curve 0.9941347743853394 [0.99992,0.999651,0.994765,0.977403,0.99638,0.990928] area_under_roc_curve 0.9959216011251196 [0.999053,0.999476,0.996215,0.983399,0.998104,0.994952] area_under_roc_curve 0.9918809314443743 [0.999773,1,0.9914,0.95611,0.998301,0.99217] area_under_roc_curve 0.9913126349234103 [0.998453,0.999508,0.993169,0.965604,0.988698,0.990331] area_under_roc_curve 0.9917081127639081 [0.99976,0.999532,0.993387,0.958525,0.995612,0.990174] 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 0.9189209153330399 [0.983607,0.985714,0.933333,0.736842,0.905109,0.891803] f_measure 0.9386088052347504 [0.986842,0.963504,0.935714,0.79661,0.943662,0.937705] f_measure 0.9273918869981683 [0.977049,0.992806,0.918149,0.752137,0.937063,0.923588] f_measure 0.919498939856002 [0.977346,0.992806,0.919708,0.684685,0.934307,0.917722] f_measure 0.9064702831604741 [0.967105,0.958333,0.917563,0.695652,0.863014,0.919463] f_measure 0.913245771559427 [0.987179,0.978417,0.911111,0.71875,0.897059,0.89701] f_measure 0.9329415403397409 [0.977049,0.985507,0.927536,0.793388,0.929577,0.927632] f_measure 0.9263208408888123 [0.987013,1,0.920863,0.720721,0.944444,0.910891] f_measure 0.9163791850070361 [0.977199,0.971429,0.914286,0.683761,0.927536,0.921053] f_measure 0.9205911589784088 [0.990228,0.979021,0.924188,0.719298,0.893617,0.914474] kappa 0.9017797239660709 kappa 0.9249894559888489 kappa 0.911572577872516 kappa 0.9035580046856111 kappa 0.8867308794726031 kappa 0.8924186970615916 kappa 0.9173647826749673 kappa 0.911498758265761 kappa 0.8980089005407961 kappa 0.9038294715556593 kb_relative_information_score 0.9100661886982948 kb_relative_information_score 0.9247565883242318 kb_relative_information_score 0.9140228685554871 kb_relative_information_score 0.9084922540345914 kb_relative_information_score 0.8938629476007728 kb_relative_information_score 0.9041195517154129 kb_relative_information_score 0.9243191221291753 kb_relative_information_score 0.912361195708363 kb_relative_information_score 0.8999479822913328 kb_relative_information_score 0.9054551280386874 mean_absolute_error 0.02684866137180117 mean_absolute_error 0.02260861732858161 mean_absolute_error 0.02576435342953534 mean_absolute_error 0.026945352463824793 mean_absolute_error 0.030654950256271973 mean_absolute_error 0.029002912306405747 mean_absolute_error 0.022439398469489294 mean_absolute_error 0.02551519227771876 mean_absolute_error 0.029834333343922992 mean_absolute_error 0.02820175335585913 mean_prior_absolute_error 0.27009674714000104 mean_prior_absolute_error 0.27009674714000104 mean_prior_absolute_error 0.2701490224279501 mean_prior_absolute_error 0.2701490224279501 mean_prior_absolute_error 0.2701490224279501 mean_prior_absolute_error 0.270076046448163 mean_prior_absolute_error 0.2700901422499983 mean_prior_absolute_error 0.2701549829384404 mean_prior_absolute_error 0.2701549829384404 mean_prior_absolute_error 0.2700904644397545 number_of_instances 643 [153,70,136,63,70,151] number_of_instances 643 [153,70,136,63,70,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [154,70,135,62,71,151] number_of_instances 643 [153,70,136,62,71,151] number_of_instances 643 [153,71,136,62,71,150] number_of_instances 643 [153,71,136,62,71,150] number_of_instances 643 [153,71,136,62,70,151] precision 0.9197386266787503 [0.986842,0.985714,0.892617,0.823529,0.925373,0.883117] precision 0.9391193457375504 [0.993377,0.985075,0.909722,0.854545,0.930556,0.928571] precision 0.9278235295803224 [0.980263,1,0.883562,0.814815,0.930556,0.926667] precision 0.9205143221011399 [0.967949,1,0.906475,0.791667,0.969697,0.878788] precision 0.9067600618286484 [0.97351,0.932432,0.888889,0.769231,0.84,0.931973] precision 0.9141985435646223 [0.974684,0.985507,0.911111,0.69697,0.938462,0.9] precision 0.9330025832223199 [0.980263,1,0.914286,0.813559,0.929577,0.921569] precision 0.9263975238251663 [0.980645,1,0.901408,0.816327,0.931507,0.901961] precision 0.9162695464767496 [0.974026,0.985507,0.888889,0.727273,0.955224,0.909091] precision 0.9201898222013489 [0.987013,0.972222,0.907801,0.788462,0.887324,0.908497] predictive_accuracy 0.9206842923794712 predictive_accuracy 0.9393468118195956 predictive_accuracy 0.9284603421461897 predictive_accuracy 0.922239502332815 predictive_accuracy 0.9082426127527217 predictive_accuracy 0.9129082426127527 predictive_accuracy 0.9331259720062208 predictive_accuracy 0.9284603421461897 predictive_accuracy 0.9175738724727839 predictive_accuracy 0.922239502332815 prior_entropy 2.482745967475889 prior_entropy 2.482745967475889 prior_entropy 2.4842056866910305 prior_entropy 2.4842056866910305 prior_entropy 2.4842056866910305 prior_entropy 2.482197628005195 prior_entropy 2.4824697828675686 prior_entropy 2.4841804290135863 prior_entropy 2.4841804290135863 prior_entropy 2.482482495047111 relative_absolute_error 0.0994038678958415 relative_absolute_error 0.08370562610612536 relative_absolute_error 0.09537089269463044 relative_absolute_error 0.09974255032150353 relative_absolute_error 0.11347422241532552 relative_absolute_error 0.10738794753488964 relative_absolute_error 0.08308114573363122 relative_absolute_error 0.09444649882150367 relative_absolute_error 0.1104341405049015 relative_absolute_error 0.10441595342641104 root_mean_prior_squared_error 0.36746811962523923 root_mean_prior_squared_error 0.36746811962523923 root_mean_prior_squared_error 0.36753924175366387 root_mean_prior_squared_error 0.36753924175366387 root_mean_prior_squared_error 0.36753924175366387 root_mean_prior_squared_error 0.36743995189564116 root_mean_prior_squared_error 0.36745913249082046 root_mean_prior_squared_error 0.36754735033645464 root_mean_prior_squared_error 0.36754735033645464 root_mean_prior_squared_error 0.36745957089272085 root_mean_squared_error 0.14811921447896587 root_mean_squared_error 0.13163617267439598 root_mean_squared_error 0.1422389259458855 root_mean_squared_error 0.1462393899809702 root_mean_squared_error 0.1616156016977358 root_mean_squared_error 0.14944276510679302 root_mean_squared_error 0.13448782713062724 root_mean_squared_error 0.14487929027302365 root_mean_squared_error 0.1549090579459689 root_mean_squared_error 0.1499876687767478 root_relative_squared_error 0.4030804485298605 root_relative_squared_error 0.35822474289373607 root_relative_squared_error 0.3870033721221485 root_relative_squared_error 0.39788782629906044 root_relative_squared_error 0.43972339096801955 root_relative_squared_error 0.40671343531319953 root_relative_squared_error 0.3659939711363328 root_relative_squared_error 0.3941785735644685 root_relative_squared_error 0.4214669424338508 root_relative_squared_error 0.40817461472662636 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 0.8995151371807002 [0.980392,0.985714,0.977941,0.666667,0.885714,0.900662] unweighted_recall 0.9227798440936344 [0.980392,0.942857,0.963235,0.746032,0.957143,0.94702] unweighted_recall 0.9129550869980593 [0.973856,0.985714,0.955556,0.698413,0.943662,0.92053] unweighted_recall 0.8951372796939773 [0.986928,0.985714,0.933333,0.603175,0.901408,0.960265] unweighted_recall 0.8873626823970753 [0.960784,0.985714,0.948148,0.634921,0.887324,0.907285] unweighted_recall 0.8962783051812422 [1,0.971429,0.911111,0.741935,0.859155,0.89404] unweighted_recall 0.9206678497966747 [0.973856,0.971429,0.941176,0.774194,0.929577,0.933775] unweighted_recall 0.9095913820119396 [0.993464,1,0.941176,0.645161,0.957746,0.92] unweighted_recall 0.8932030301140599 [0.980392,0.957746,0.941176,0.645161,0.901408,0.933333] unweighted_recall 0.9003960232897853 [0.993464,0.985915,0.941176,0.66129,0.9,0.92053] weighted_recall 0.9206842923794712 [0.980392,0.985714,0.977941,0.666667,0.885714,0.900662] weighted_recall 0.9393468118195957 [0.980392,0.942857,0.963235,0.746032,0.957143,0.94702] weighted_recall 0.9284603421461898 [0.973856,0.985714,0.955556,0.698413,0.943662,0.92053] weighted_recall 0.9222395023328149 [0.986928,0.985714,0.933333,0.603175,0.901408,0.960265] weighted_recall 0.9082426127527217 [0.960784,0.985714,0.948148,0.634921,0.887324,0.907285] weighted_recall 0.9129082426127527 [1,0.971429,0.911111,0.741935,0.859155,0.89404] weighted_recall 0.9331259720062208 [0.973856,0.971429,0.941176,0.774194,0.929577,0.933775] weighted_recall 0.9284603421461898 [0.993464,1,0.941176,0.645161,0.957746,0.92] weighted_recall 0.9175738724727839 [0.980392,0.957746,0.941176,0.645161,0.901408,0.933333] weighted_recall 0.9222395023328149 [0.993464,0.985915,0.941176,0.66129,0.9,0.92053]