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