10228517 8323 Heinrich Peters 6 Supervised Classification 12677 sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2) 8153741 l2_regularization 0.0 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 256 12677 max_depth null 12677 max_iter 100 12677 max_leaf_nodes 31 12677 min_samples_leaf 20 12677 n_iter_no_change null 12677 random_state 53760 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.1 12677 verbose 0 12677 openml-python Sklearn_0.21.2. 6 letter https://www.openml.org/data/download/6/dataset_6_letter.arff -1 21378329 description https://api.openml.org/data/download/21378329/description.xml -1 21378330 predictions https://api.openml.org/data/download/21378330/predictions.arff area_under_roc_curve 0.9997206723868943 [0.999991,0.999518,0.999907,0.999763,0.999651,0.999363,0.999267,0.999349,0.999332,0.999522,0.999632,0.999928,0.999957,0.999848,0.999878,0.999627,0.999727,0.999497,0.999923,0.999901,0.999921,0.999539,0.999931,0.999974,0.99988,0.999867] average_cost 0 f_measure 0.969733731597214 [0.993655,0.945013,0.97668,0.955187,0.962532,0.957309,0.96196,0.948299,0.958722,0.952575,0.956403,0.981383,0.98739,0.973008,0.966975,0.969432,0.970197,0.948886,0.979236,0.979258,0.98401,0.965246,0.988,0.987952,0.977721,0.982912] kappa 0.968486742009649 kb_relative_information_score 0.974796488577319 mean_absolute_error 0.0029982593681473096 mean_prior_absolute_error 0.07396191835229461 number_of_instances 20000 [789,766,736,805,768,775,773,734,755,747,739,761,792,783,753,803,783,758,748,796,813,764,752,787,786,734] precision 0.9698621104705187 [0.994917,0.926065,0.98615,0.944175,0.955128,0.959792,0.958869,0.947011,0.963855,0.964335,0.962963,0.993271,0.986146,0.979301,0.961892,0.97125,0.963476,0.942708,0.981208,0.979874,0.98401,0.967148,0.990642,0.986076,0.978344,0.986283] predictive_accuracy 0.9697 prior_entropy 4.6998107276322685 recall 0.9697 [0.992395,0.964752,0.967391,0.96646,0.970052,0.954839,0.965071,0.949591,0.953642,0.941098,0.949932,0.969777,0.988636,0.966794,0.972112,0.967621,0.977011,0.955145,0.977273,0.978643,0.98401,0.963351,0.985372,0.989835,0.977099,0.979564] relative_absolute_error 0.04053787996501163 root_mean_prior_squared_error 0.19230433563020993 root_mean_squared_error 0.04169447307461403 root_relative_squared_error 0.2168150444345159 total_cost 0 area_under_roc_curve 0.9998009092262501 [1,0.999493,0.999965,0.999974,0.999412,0.99977,0.999885,0.99978,0.999467,0.999333,0.999888,1,1,1,0.999938,0.999902,0.999827,0.999795,0.999841,1,1,0.998676,0.99991,0.99998,0.999954,0.999986] area_under_roc_curve 0.9998114789507843 [0.999987,0.999095,1,0.999916,0.99977,0.999743,0.999629,0.999964,0.999891,0.999937,0.999825,0.999966,0.999928,0.999993,0.999924,0.999453,0.999987,0.999467,0.999958,0.99998,1,0.99898,0.999882,0.999862,0.999974,1] area_under_roc_curve 0.999731169610509 [0.999987,0.999568,0.99993,0.999717,0.999822,0.999927,0.999615,0.999474,0.999186,0.999649,0.999726,0.999925,0.99996,0.999835,0.999965,0.999531,0.998199,0.999309,0.999972,0.99996,0.999929,1,1,1,0.999993,0.999818] area_under_roc_curve 0.9997364716327207 [1,0.998852,0.999937,0.999603,0.999932,0.999833,0.999838,0.999609,0.999884,0.999771,0.999488,0.999966,1,0.999855,0.999792,0.999896,0.999807,0.998366,0.999958,0.999908,0.999987,0.999797,0.999626,0.999967,0.999954,0.999446] area_under_roc_curve 0.9995668554153297 [1,0.999838,0.999958,0.999701,0.99975,0.996498,0.999561,0.999908,0.996553,0.999287,0.999761,0.999863,0.999922,0.99978,0.999813,0.999779,0.999973,0.999638,0.999965,0.999889,0.999994,0.999535,0.999931,1,0.999907,0.999922] area_under_roc_curve 0.9996844896763374 [1,0.999733,0.999825,0.999746,0.999656,0.999573,0.998399,0.998237,0.999855,0.999065,0.999614,0.999959,0.999888,0.99954,0.999733,0.999974,0.999934,0.999679,0.999889,0.99974,1,0.999863,0.999945,1,0.999873,0.999986] area_under_roc_curve 0.9998019198313195 [1,0.99948,0.999851,0.999701,0.999602,0.999813,0.999793,0.999628,0.999875,0.999827,0.999326,1,0.999954,0.9998,0.99987,0.999655,0.999888,0.999446,0.999938,0.999915,0.999968,0.999624,1,0.999947,0.999933,0.999986] area_under_roc_curve 0.9997297555807966 [0.999987,0.999911,0.999929,0.99974,0.999331,0.999689,0.99942,0.99974,0.999861,0.999868,0.999537,0.999672,1,0.99986,0.999809,0.998462,0.999822,0.999726,0.999861,0.999974,0.999942,0.999672,1,0.999987,0.99934,0.999893] area_under_roc_curve 0.9997481765204104 [1,0.999679,0.999666,0.999756,0.999662,0.998845,0.999615,0.998877,0.999508,0.999266,0.999635,0.99998,0.999987,0.999973,1,0.999698,0.999947,0.999751,1,0.999928,0.999987,0.999706,0.999979,0.999967,0.999974,0.999986] area_under_roc_curve 0.9996337718060406 [0.999954,0.999602,0.999986,0.999723,0.999818,0.999912,0.996556,0.998141,0.99973,0.999162,0.999614,0.999918,0.999888,0.999987,0.999965,0.999923,0.999933,0.999799,0.999924,0.999779,0.999663,0.999815,1,0.999967,0.999967,0.999673] 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 0.9761396486949168 [0.993631,0.920245,0.993197,0.987654,0.955414,0.973684,0.974026,0.972973,0.954248,0.951724,0.97931,0.993377,1,0.987013,0.974026,0.968944,0.955414,0.973684,0.959459,1,1,0.953642,0.993289,0.993631,0.980892,0.986301] f_measure 0.9735172903781952 [0.993631,0.935897,0.993197,0.969697,0.962025,0.949367,0.973684,0.986301,0.973333,0.986486,0.951724,0.980132,0.975,0.993711,0.986667,0.936709,0.987179,0.934211,0.986667,0.981132,0.993789,0.953642,0.979592,0.968553,0.987342,0.993197] f_measure 0.9745132468583775 [0.993631,0.948718,0.986486,0.97561,0.974359,0.974359,0.980392,0.972603,0.938776,0.934211,0.96,0.966443,0.987342,0.968553,0.96732,0.974684,0.954839,0.953642,0.993197,0.987342,0.987654,0.987179,1,1,0.993631,0.972222] f_measure 0.9645179347370684 [0.993631,0.928105,0.972222,0.920245,0.973684,0.95,0.980132,0.952381,0.96,0.947368,0.965517,0.973333,1,0.961538,0.961039,0.975,0.954839,0.926174,0.973333,0.954839,0.975904,0.948052,0.993289,0.9875,0.968553,0.979866] f_measure 0.9650134989575864 [1,0.955975,0.965517,0.949367,0.961538,0.941176,0.954839,0.946667,0.947368,0.924138,0.959459,0.986667,0.987342,0.961039,0.933333,0.968944,0.987342,0.923077,0.986667,0.974359,0.981595,0.961039,0.980132,1,0.968153,0.97931] f_measure 0.966564637015574 [0.993631,0.936709,0.958333,0.9625,0.961538,0.948718,0.949367,0.918919,0.966887,0.951724,0.957746,0.972973,0.981132,0.974359,0.961039,0.987342,0.968553,0.954839,0.973333,0.969325,0.987805,0.966887,0.966887,0.993711,0.974026,0.986111] f_measure 0.9665344007771771 [0.993711,0.941176,0.979592,0.939024,0.961039,0.961039,0.962025,0.945946,0.966443,0.945205,0.945205,0.986667,0.968153,0.961538,0.96,0.962963,0.9625,0.941935,0.973333,0.981366,0.981366,0.973684,0.993289,0.974684,0.987013,0.979592] f_measure 0.9690457307763962 [0.980892,0.980392,0.965517,0.950617,0.953642,0.954839,0.930818,0.95302,0.972973,0.980132,0.972603,0.973684,1,0.967742,0.946667,0.950617,0.968944,0.96732,0.966443,0.993711,0.975,0.954839,0.993289,0.993631,0.961538,0.986486] f_measure 0.9694359293949426 [1,0.954839,0.958904,0.957576,0.947368,0.939597,0.949367,0.910345,0.940397,0.938776,0.939597,0.993464,0.993631,0.973684,1,0.975309,0.980892,0.96,0.993377,0.981595,0.987952,0.979866,0.986842,0.987179,0.975309,0.993103] f_measure 0.972041234255073 [0.993711,0.949367,0.993103,0.939759,0.974359,0.980392,0.96732,0.923077,0.966887,0.965517,0.934211,0.986667,0.981366,0.980645,0.979866,0.993789,0.981132,0.954248,0.986486,0.968553,0.968553,0.973684,0.993464,0.980645,0.980892,0.972973] kappa 0.9750390145402941 kappa 0.9724388043953347 kappa 0.9734790701762004 kappa 0.963078446341022 kappa 0.9635989035989764 kappa 0.9651583798646637 kappa 0.9651585248119405 kappa 0.9677588193279638 kappa 0.9682783517431566 kappa 0.9708788427252099 kb_relative_information_score 0.9797640094522848 kb_relative_information_score 0.9769611174380747 kb_relative_information_score 0.9762710119309794 kb_relative_information_score 0.9733273136577629 kb_relative_information_score 0.9728180791227723 kb_relative_information_score 0.9715103616328115 kb_relative_information_score 0.9734949386415103 kb_relative_information_score 0.9741400481790273 kb_relative_information_score 0.974197418195693 kb_relative_information_score 0.9754805834978358 mean_absolute_error 0.002400320855060121 mean_absolute_error 0.0029562546377139773 mean_absolute_error 0.002655651444928462 mean_absolute_error 0.0032531543359760272 mean_absolute_error 0.00322290421536995 mean_absolute_error 0.0031659035904945732 mean_absolute_error 0.003268206795029747 mean_absolute_error 0.0030691779559621052 mean_absolute_error 0.0030269389178207346 mean_absolute_error 0.0029640809331173907 mean_prior_absolute_error 0.07396194754511427 mean_prior_absolute_error 0.07396200900367966 mean_prior_absolute_error 0.07396191681583157 mean_prior_absolute_error 0.07396192641873242 mean_prior_absolute_error 0.07396195714801512 mean_prior_absolute_error 0.07396196483033579 mean_prior_absolute_error 0.07396196867149613 mean_prior_absolute_error 0.07396191489525139 mean_prior_absolute_error 0.07396179389870075 mean_prior_absolute_error 0.0739617842957999 number_of_instances 2000 [79,77,74,81,77,77,77,73,76,74,74,76,79,78,75,80,78,76,75,79,82,77,75,78,79,74] number_of_instances 2000 [78,77,74,81,77,77,77,73,76,74,74,76,79,79,75,80,78,76,75,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,81,76,78,77,73,76,74,74,76,79,79,75,80,78,76,74,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,80,76,78,77,73,76,75,73,76,80,79,75,80,78,76,74,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,80,77,78,77,73,76,75,74,76,80,78,75,80,78,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,74,80,77,78,78,73,75,75,74,76,79,78,76,80,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,80,77,78,78,74,75,75,74,76,79,78,76,80,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,80,77,77,78,74,75,75,74,76,79,78,76,81,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,81,77,77,77,74,75,75,74,77,79,78,75,81,78,75,75,80,82,76,76,78,79,73] number_of_instances 2000 [79,77,73,81,77,77,77,74,75,75,74,76,79,78,75,81,78,75,75,80,82,76,76,78,79,73] precision 0.9767568004205616 [1,0.872093,1,0.987654,0.9375,0.986667,0.974026,0.96,0.948052,0.971831,1,1,1,1,0.949367,0.962963,0.949367,0.973684,0.972603,1,1,0.972973,1,0.987342,0.987179,1] precision 0.973832259401287 [0.987342,0.924051,1,0.952381,0.938272,0.925926,0.986667,0.986301,0.986486,0.986486,0.971831,0.986667,0.962963,0.9875,0.986667,0.948718,0.987179,0.934211,0.986667,0.975,1,0.972973,1,0.9625,0.987342,1] precision 0.9749026935485213 [1,0.936709,0.986486,0.963855,0.95,0.974359,0.986842,0.972603,0.971831,0.910256,0.947368,0.986301,0.987342,0.9625,0.948718,0.987179,0.961039,0.96,1,0.987342,0.987654,0.974684,1,1,1,1] precision 0.9649453859929796 [1,0.934211,1,0.903614,0.973684,0.926829,1,0.945946,0.972973,0.935065,0.972222,0.986486,1,0.974026,0.936709,0.975,0.961039,0.945205,0.960526,0.973684,0.952941,0.948052,1,0.975309,0.9625,0.973333] precision 0.9654941944603208 [1,0.926829,0.985915,0.961538,0.949367,0.96,0.948718,0.922078,0.947368,0.957143,0.959459,1,1,0.973684,0.933333,0.962963,0.975,0.9,0.986667,1,0.97561,0.948718,0.973684,1,0.962025,0.986111] precision 0.967227950215721 [1,0.902439,0.985714,0.9625,0.949367,0.948718,0.9375,0.906667,0.960526,0.985714,1,1,0.975,0.974359,0.948718,1,0.9625,0.936709,0.973333,0.951807,0.975904,0.973333,0.960526,0.9875,0.986842,1] precision 0.9668229126219905 [0.9875,0.935065,0.972973,0.916667,0.961039,0.973684,0.95,0.945946,0.972973,0.971831,0.958333,1,0.974359,0.961538,0.972973,0.95122,0.950617,0.924051,0.973333,0.975309,0.9875,0.973684,1,0.974684,1,0.972973] precision 0.9693151859663779 [0.987179,0.974026,0.972222,0.939024,0.972973,0.948718,0.91358,0.946667,0.986301,0.973684,0.986111,0.973684,1,0.974026,0.959459,0.950617,0.95122,0.961039,0.972973,1,0.987342,0.936709,1,1,0.961538,0.973333] precision 0.9698146695028733 [1,0.936709,0.958904,0.940476,0.96,0.972222,0.925926,0.929577,0.934211,0.958333,0.933333,1,1,1,1,0.975309,0.974684,0.96,0.986842,0.963855,0.97619,1,0.986842,0.987179,0.951807,1] precision 0.9726421389443398 [0.9875,0.925926,1,0.917647,0.962025,0.986842,0.973684,0.956522,0.960526,1,0.910256,1,0.963415,0.987013,0.986486,1,0.962963,0.935897,1,0.974684,1,0.973684,0.987013,0.987013,0.987179,0.96] predictive_accuracy 0.976 predictive_accuracy 0.9734999999999999 predictive_accuracy 0.9745 predictive_accuracy 0.9645 predictive_accuracy 0.965 predictive_accuracy 0.9665 predictive_accuracy 0.9665 predictive_accuracy 0.9690000000000001 predictive_accuracy 0.9695 predictive_accuracy 0.972 prior_entropy 4.699825815607033 prior_entropy 4.699854731688913 prior_entropy 4.699809751694497 prior_entropy 4.699813724681224 prior_entropy 4.6998289081692235 prior_entropy 4.699832499136173 prior_entropy 4.69983445932086 prior_entropy 4.699808889896364 prior_entropy 4.69975160696033 prior_entropy 4.699746889170326 recall 0.976 [0.987342,0.974026,0.986486,0.987654,0.974026,0.961039,0.974026,0.986301,0.960526,0.932432,0.959459,0.986842,1,0.974359,1,0.975,0.961538,0.973684,0.946667,1,1,0.935065,0.986667,1,0.974684,0.972973] recall 0.9735 [1,0.948052,0.986486,0.987654,0.987013,0.974026,0.961039,0.986301,0.960526,0.986486,0.932432,0.973684,0.987342,1,0.986667,0.925,0.987179,0.934211,0.986667,0.987342,0.987654,0.935065,0.96,0.974684,0.987342,0.986486] recall 0.9745 [0.987342,0.961039,0.986486,0.987654,1,0.974359,0.974026,0.972603,0.907895,0.959459,0.972973,0.947368,0.987342,0.974684,0.986667,0.9625,0.948718,0.947368,0.986486,0.987342,0.987654,1,1,1,0.987342,0.945946] recall 0.9645 [0.987342,0.922078,0.945946,0.9375,0.973684,0.974359,0.961039,0.958904,0.947368,0.96,0.958904,0.960526,1,0.949367,0.986667,0.975,0.948718,0.907895,0.986486,0.936709,1,0.948052,0.986667,1,0.974684,0.986486] recall 0.965 [1,0.987013,0.945946,0.9375,0.974026,0.923077,0.961039,0.972603,0.947368,0.893333,0.959459,0.973684,0.975,0.948718,0.933333,0.975,1,0.947368,0.986667,0.95,0.987654,0.973684,0.986667,1,0.974359,0.972603] recall 0.9665 [0.987342,0.973684,0.932432,0.9625,0.974026,0.948718,0.961538,0.931507,0.973333,0.92,0.918919,0.947368,0.987342,0.974359,0.973684,0.975,0.974684,0.973684,0.973333,0.9875,1,0.960526,0.973333,1,0.961538,0.972603] recall 0.9665 [1,0.947368,0.986301,0.9625,0.961039,0.948718,0.974359,0.945946,0.96,0.92,0.932432,0.973684,0.962025,0.961538,0.947368,0.975,0.974684,0.960526,0.973333,0.9875,0.975309,0.973684,0.986667,0.974684,0.974359,0.986301] recall 0.969 [0.974684,0.986842,0.958904,0.9625,0.935065,0.961039,0.948718,0.959459,0.96,0.986667,0.959459,0.973684,1,0.961538,0.934211,0.950617,0.987342,0.973684,0.96,0.9875,0.962963,0.973684,0.986667,0.987342,0.961538,1] recall 0.9695 [1,0.973684,0.958904,0.975309,0.935065,0.909091,0.974026,0.891892,0.946667,0.92,0.945946,0.987013,0.987342,0.948718,1,0.975309,0.987179,0.96,1,1,1,0.960526,0.986842,0.987179,1,0.986301] recall 0.972 [1,0.974026,0.986301,0.962963,0.987013,0.974026,0.961039,0.891892,0.973333,0.933333,0.959459,0.973684,1,0.974359,0.973333,0.987654,1,0.973333,0.973333,0.9625,0.939024,0.973684,1,0.974359,0.974684,0.986301] relative_absolute_error 0.032453456604776484 relative_absolute_error 0.03996990722043396 relative_absolute_error 0.03590566009181659 relative_absolute_error 0.04398417528443523 relative_absolute_error 0.04357516133490311 relative_absolute_error 0.04280448197606651 relative_absolute_error 0.04418766636060712 relative_absolute_error 0.04149673464118433 relative_absolute_error 0.04092570985996471 relative_absolute_error 0.040075844050259254 root_mean_prior_squared_error 0.1923044115328483 root_mean_prior_squared_error 0.19230457132777806 root_mean_prior_squared_error 0.19230433163533361 root_mean_prior_squared_error 0.19230435660331052 root_mean_prior_squared_error 0.19230443650081483 root_mean_prior_squared_error 0.19230445647518574 root_mean_prior_squared_error 0.1923044664623704 root_mean_prior_squared_error 0.19230432664173788 root_mean_prior_squared_error 0.192304012044943 root_mean_prior_squared_error 0.19230398707692134 root_mean_squared_error 0.03725466153358629 root_mean_squared_error 0.03945386569319156 root_mean_squared_error 0.040200322722986986 root_mean_squared_error 0.04366101931503524 root_mean_squared_error 0.04365193464127301 root_mean_squared_error 0.04424897444242176 root_mean_squared_error 0.042903713445072884 root_mean_squared_error 0.04204657327567259 root_mean_squared_error 0.042471584622511924 root_mean_squared_error 0.04051519939276935 root_relative_squared_error 0.1937275449722206 root_relative_squared_error 0.20516343122152558 root_relative_squared_error 0.20904533133043926 root_relative_squared_error 0.22704123861894673 root_relative_squared_error 0.22699390318583756 root_relative_squared_error 0.23009853881431752 root_relative_squared_error 0.2231030523332549 root_relative_squared_error 0.21864600765850256 root_relative_squared_error 0.2208564666481632 root_relative_squared_error 0.21068309611575198 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 usercpu_time_millis 104589.45399999994 usercpu_time_millis 99639.27800000011 usercpu_time_millis 115496.91799999982 usercpu_time_millis 94496.40799999953 usercpu_time_millis 99380.05599999998 usercpu_time_millis 96701.08600000002 usercpu_time_millis 92059.22400000054 usercpu_time_millis 96238.92799999975 usercpu_time_millis 109395.35200000001 usercpu_time_millis 107186.2500000002 usercpu_time_millis_testing 905.86600000006 usercpu_time_millis_testing 1151.4259999999013 usercpu_time_millis_testing 959.1519999999036 usercpu_time_millis_testing 893.2539999996152 usercpu_time_millis_testing 898.3859999998458 usercpu_time_millis_testing 910.3500000001077 usercpu_time_millis_testing 872.9940000002898 usercpu_time_millis_testing 862.4719999997978 usercpu_time_millis_testing 875.4319999998188 usercpu_time_millis_testing 873.9960000002611 usercpu_time_millis_training 103683.58799999987 usercpu_time_millis_training 98487.8520000002 usercpu_time_millis_training 114537.76599999992 usercpu_time_millis_training 93603.15399999991 usercpu_time_millis_training 98481.67000000013 usercpu_time_millis_training 95790.73599999992 usercpu_time_millis_training 91186.23000000024 usercpu_time_millis_training 95376.45599999996 usercpu_time_millis_training 108519.92000000019 usercpu_time_millis_training 106312.25399999994 wall_clock_time_millis 15264.85300064087 wall_clock_time_millis 14585.513830184937 wall_clock_time_millis 18892.191886901855 wall_clock_time_millis 13255.24878501892 wall_clock_time_millis 14530.176877975464 wall_clock_time_millis 13774.153232574463 wall_clock_time_millis 12697.336196899414 wall_clock_time_millis 13576.844692230225 wall_clock_time_millis 16482.98740386963 wall_clock_time_millis 17778.068780899048 wall_clock_time_millis_testing 118.35598945617676 wall_clock_time_millis_testing 183.66193771362305 wall_clock_time_millis_testing 133.5768699645996 wall_clock_time_millis_testing 117.09189414978027 wall_clock_time_millis_testing 117.94400215148926 wall_clock_time_millis_testing 119.89021301269531 wall_clock_time_millis_testing 112.69998550415039 wall_clock_time_millis_testing 112.83183097839355 wall_clock_time_millis_testing 114.59612846374512 wall_clock_time_millis_testing 111.67502403259277 wall_clock_time_millis_training 15146.497011184692 wall_clock_time_millis_training 14401.851892471313 wall_clock_time_millis_training 18758.615016937256 wall_clock_time_millis_training 13138.15689086914 wall_clock_time_millis_training 14412.232875823975 wall_clock_time_millis_training 13654.263019561768 wall_clock_time_millis_training 12584.636211395264 wall_clock_time_millis_training 13464.012861251831 wall_clock_time_millis_training 16368.391275405884 wall_clock_time_millis_training 17666.393756866455