10396188
8323
Heinrich Peters
6
Supervised Classification
16357
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(2)
8235405
memory
null
16357
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16357
verbose
false
16357
add_indicator
false
16358
copy
true
16358
fill_value
null
16358
missing_values
NaN
16358
strategy
"median"
16358
verbose
0
16358
copy
true
16359
with_mean
true
16359
with_std
true
16359
C
3669.093652813606
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.9360680957957512
16360
decision_function_shape
"ovr"
16360
degree
1
16360
gamma
4.681182788016613e-05
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
1
16360
shrinking
true
16360
tol
0.001
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
6
letter
https://www.openml.org/data/download/6/dataset_6_letter.arff
-1
21714108
description
https://api.openml.org/data/download/21714108/description.xml
-1
21714109
predictions
https://api.openml.org/data/download/21714109/predictions.arff
area_under_roc_curve
0.9245346351820556 [0.972231,0.932213,0.926281,0.938681,0.917298,0.93254,0.882972,0.826527,0.93219,0.935777,0.901775,0.933024,0.960325,0.952878,0.88189,0.926651,0.896452,0.905041,0.852056,0.942195,0.960973,0.951554,0.96808,0.940234,0.946224,0.907902]
average_cost
0
f_measure
0.855224287207548 [0.918455,0.832607,0.864976,0.827546,0.826309,0.85085,0.753133,0.684951,0.890551,0.885579,0.8,0.898708,0.919021,0.924577,0.809224,0.896282,0.827815,0.786346,0.703412,0.897208,0.926679,0.918381,0.920573,0.893453,0.907216,0.847887]
kappa
0.849036893864668
kb_relative_information_score
0.8527932464786504
mean_absolute_error
0.011165384615384136
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
0.8571660054083381 [0.889549,0.795482,0.872752,0.774648,0.810777,0.830467,0.730255,0.707849,0.914804,0.89589,0.788436,0.930986,0.913858,0.941722,0.853982,0.941096,0.859697,0.754854,0.690722,0.90641,0.928395,0.931359,0.901786,0.902724,0.91906,0.877551]
predictive_accuracy
0.85485
prior_entropy
4.6998107276322685
recall
0.85485 [0.949303,0.873368,0.857337,0.888199,0.842448,0.872258,0.77749,0.663488,0.86755,0.875502,0.811908,0.868594,0.924242,0.908046,0.768924,0.855542,0.798212,0.82058,0.716578,0.888191,0.924969,0.905759,0.94016,0.884371,0.895674,0.820163]
relative_absolute_error
0.15096126309489835
root_mean_prior_squared_error
0.19230433563020993
root_mean_squared_error
0.10566638356347839
root_relative_squared_error
0.549474785460213
total_cost
0
area_under_roc_curve
0.9300727836836189 [0.934627,0.942592,0.969858,0.938973,0.918178,0.938178,0.86701,0.803808,0.900536,0.937112,0.914765,0.965546,0.966532,0.973839,0.924848,0.930469,0.887904,0.931352,0.852468,0.960464,0.974567,0.952985,0.972554,0.965347,0.941476,0.90255]
area_under_roc_curve
0.9217469169731546 [0.984838,0.910644,0.956863,0.95184,0.924411,0.905711,0.889344,0.785336,0.919493,0.937632,0.903069,0.925812,0.941216,0.967053,0.90303,0.911198,0.882274,0.900098,0.858615,0.947285,0.973224,0.953245,0.964589,0.934106,0.948326,0.869545]
area_under_roc_curve
0.9235703363956926 [0.947025,0.930125,0.936334,0.944103,0.890579,0.938666,0.903111,0.830946,0.920273,0.963361,0.920743,0.927112,0.946244,0.954135,0.904069,0.943229,0.881754,0.870062,0.852137,0.947805,0.935666,0.973506,0.951775,0.922489,0.948326,0.917102]
area_under_roc_curve
0.9248766154648371 [0.972341,0.906231,0.903069,0.949219,0.929533,0.956596,0.896617,0.816209,0.926332,0.945368,0.934205,0.972905,0.967708,0.948326,0.875844,0.911198,0.895355,0.88374,0.838883,0.929078,0.9614,0.940518,0.958182,0.9159,0.966272,0.930096]
area_under_roc_curve
0.9261788551553619 [0.979451,0.973499,0.924118,0.914844,0.918698,0.931995,0.88389,0.856786,0.938451,0.917143,0.868506,0.93949,0.923698,0.941267,0.858442,0.968229,0.940487,0.908497,0.848139,0.941667,0.974006,0.958967,0.990216,0.941737,0.934076,0.888076]
area_under_roc_curve
0.9235699477412096 [0.97156,0.955849,0.917361,0.957812,0.923891,0.900204,0.879673,0.863376,0.944848,0.918182,0.86643,0.907115,0.953614,0.973839,0.853964,0.936719,0.914598,0.902177,0.820693,0.947135,0.967572,0.953168,0.964329,0.927256,0.941007,0.936799]
area_under_roc_curve
0.9222747712013759 [0.990548,0.923474,0.894666,0.945052,0.937658,0.945856,0.904013,0.824072,0.944848,0.930736,0.866689,0.926332,0.979972,0.921516,0.826089,0.905208,0.889021,0.901658,0.868918,0.936458,0.936969,0.952908,0.970996,0.966272,0.953307,0.922582]
area_under_roc_curve
0.9222573242326542 [0.972601,0.957408,0.916251,0.924219,0.893244,0.938178,0.858881,0.853176,0.944848,0.938961,0.908008,0.899497,0.991589,0.927926,0.885039,0.892456,0.889021,0.935852,0.86684,0.934115,0.979918,0.912655,0.958442,0.929339,0.952787,0.909402]
area_under_roc_curve
0.923062357310494 [0.98526,0.910056,0.928134,0.939494,0.917918,0.924931,0.890124,0.811597,0.925628,0.951255,0.901771,0.907531,0.972862,0.966908,0.904589,0.93749,0.876644,0.901732,0.831688,0.923177,0.949916,0.958447,0.972125,0.959717,0.934887,0.900996]
area_under_roc_curve
0.9277344456342642 [0.984218,0.912464,0.915473,0.921236,0.918698,0.944932,0.857136,0.819911,0.957403,0.918442,0.933997,0.959227,0.960203,0.953827,0.884069,0.930535,0.907395,0.915325,0.881991,0.954948,0.956535,0.958967,0.977405,0.940747,0.941737,0.902034]
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
0.8654490676499472 [0.884615,0.826347,0.897436,0.827586,0.828025,0.860759,0.780822,0.666667,0.871429,0.884354,0.815789,0.928105,0.925,0.961039,0.876712,0.907895,0.807947,0.862745,0.683544,0.924051,0.95122,0.915033,0.95302,0.906832,0.903226,0.827586]
f_measure
0.8495683709526188 [0.932515,0.8,0.894737,0.850575,0.830189,0.823529,0.743902,0.677419,0.876712,0.896552,0.839161,0.878378,0.897436,0.936709,0.813333,0.874172,0.816327,0.738095,0.68323,0.898734,0.927711,0.921053,0.915033,0.873418,0.922078,0.80292]
f_measure
0.8537269902001712 [0.893082,0.822086,0.866667,0.815642,0.789474,0.857143,0.773006,0.7,0.895105,0.896104,0.807692,0.909091,0.876543,0.917197,0.835616,0.928105,0.805369,0.75,0.706667,0.910256,0.876543,0.960526,0.912752,0.881579,0.922078,0.867133]
f_measure
0.8559189819336476 [0.920245,0.834437,0.839161,0.811111,0.825,0.852071,0.765432,0.661972,0.890411,0.911565,0.836601,0.953642,0.943396,0.922078,0.77027,0.874172,0.837838,0.776316,0.693878,0.894737,0.925926,0.912752,0.913907,0.868421,0.919255,0.870748]
f_measure
0.8583037508379323 [0.944099,0.831461,0.881119,0.82716,0.83871,0.84472,0.754717,0.706667,0.881579,0.845638,0.780142,0.905405,0.888889,0.913907,0.8,0.955414,0.896104,0.777778,0.716216,0.893082,0.944785,0.921053,0.919255,0.909091,0.888889,0.820144]
f_measure
0.8533253708620145 [0.903614,0.853659,0.873239,0.860465,0.819876,0.812903,0.764331,0.710526,0.899329,0.868966,0.738255,0.879433,0.90566,0.961039,0.8,0.915033,0.840764,0.775,0.666667,0.883436,0.932515,0.932432,0.909091,0.855346,0.907895,0.895105]
f_measure
0.8505019219328032 [0.923077,0.828025,0.822695,0.842105,0.85,0.880503,0.771084,0.653333,0.899329,0.866667,0.743243,0.890411,0.955975,0.88,0.729927,0.872483,0.805195,0.765432,0.756757,0.909091,0.904459,0.926174,0.916129,0.919255,0.910256,0.867133]
f_measure
0.8508227312290529 [0.925926,0.886076,0.871429,0.784091,0.818792,0.860759,0.7125,0.726027,0.899329,0.910345,0.807947,0.847222,0.945455,0.887417,0.802721,0.825806,0.805195,0.82716,0.717949,0.858896,0.945455,0.863014,0.92,0.900662,0.898734,0.863309]
f_measure
0.8525270431069655 [0.939024,0.807692,0.845638,0.837209,0.822785,0.840764,0.757764,0.652778,0.895105,0.900662,0.810811,0.863014,0.931677,0.941935,0.847222,0.916129,0.825175,0.787097,0.64557,0.877419,0.919255,0.909091,0.935065,0.917197,0.890323,0.819444]
f_measure
0.8609008997679324 [0.916667,0.836601,0.853147,0.821429,0.83871,0.873418,0.708861,0.690647,0.896104,0.875,0.81761,0.927152,0.918239,0.922078,0.811189,0.89172,0.836601,0.807692,0.768212,0.924051,0.9375,0.921053,0.9125,0.901961,0.909091,0.842857]
kappa
0.860113604393993
kappa
0.8434697503992562
kappa
0.8471127714918362
kappa
0.8497131679606155
kappa
0.8523138621641115
kappa
0.8471120956953474
kappa
0.8445136996951117
kappa
0.8445105462412115
kappa
0.8460746834195653
kappa
0.8554338038928349
kb_relative_information_score
0.8635928541763329
kb_relative_information_score
0.8473220131118784
kb_relative_information_score
0.8510043936329968
kb_relative_information_score
0.8534642100049882
kb_relative_information_score
0.8559410882663588
kb_relative_information_score
0.850863518695453
kb_relative_information_score
0.8483503539715643
kb_relative_information_score
0.8484461343583597
kb_relative_information_score
0.8498910404311627
kb_relative_information_score
0.8590569399643404
mean_absolute_error
0.010346153846153817
mean_absolute_error
0.011576923076923045
mean_absolute_error
0.011307692307692276
mean_absolute_error
0.011115384615384584
mean_absolute_error
0.010923076923076893
mean_absolute_error
0.011307692307692276
mean_absolute_error
0.011499999999999969
mean_absolute_error
0.011499999999999969
mean_absolute_error
0.011384615384615352
mean_absolute_error
0.010692307692307662
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
0.8680096286921416 [0.896104,0.766667,0.853659,0.774194,0.8125,0.839506,0.826087,0.725806,0.953125,0.890411,0.794872,0.922078,0.91358,0.973684,0.901408,0.958333,0.835616,0.857143,0.650602,0.924051,0.95122,0.921053,0.959459,0.879518,0.921053,0.84507]
precision
0.8541572942618418 [0.894118,0.771084,0.871795,0.795699,0.804878,0.828947,0.701149,0.823529,0.914286,0.915493,0.869565,0.902778,0.909091,0.936709,0.813333,0.929577,0.869565,0.673913,0.639535,0.898734,0.905882,0.933333,0.897436,0.873418,0.946667,0.873016]
precision
0.857067751689547 [0.8875,0.77907,0.855263,0.744898,0.789474,0.831325,0.732558,0.731343,0.955224,0.8625,0.768293,0.970149,0.855422,0.923077,0.859155,0.972603,0.84507,0.75,0.697368,0.922078,0.876543,0.973333,0.918919,0.917808,0.946667,0.898551]
precision
0.8591621226123535 [0.892857,0.851351,0.869565,0.73,0.785714,0.791209,0.729412,0.681159,0.928571,0.930556,0.8,0.96,0.949367,0.946667,0.780822,0.929577,0.885714,0.776316,0.69863,0.931507,0.925926,0.944444,0.907895,0.90411,0.902439,0.876712]
precision
0.8620745311846929 [0.926829,0.732673,0.913043,0.817073,0.833333,0.819277,0.731707,0.688312,0.881579,0.851351,0.820896,0.930556,0.931507,0.945205,0.9,0.974026,0.907895,0.732558,0.726027,0.898734,0.939024,0.921053,0.860465,0.933333,0.906667,0.863636]
precision
0.8568413327366434 [0.862069,0.795455,0.911765,0.804348,0.785714,0.818182,0.759494,0.683544,0.905405,0.9,0.733333,0.953846,0.9,0.973684,0.915254,0.958904,0.846154,0.738095,0.680556,0.86747,0.926829,0.958333,0.886076,0.85,0.932432,0.914286]
precision
0.8534778950986075 [0.866667,0.802469,0.852941,0.791209,0.819277,0.864198,0.727273,0.644737,0.905405,0.866667,0.743243,0.928571,0.95,0.916667,0.819672,0.942029,0.826667,0.72093,0.767123,0.945946,0.934211,0.945205,0.8875,0.902439,0.910256,0.885714]
precision
0.8536582788770194 [0.903614,0.853659,0.910448,0.71875,0.847222,0.839506,0.695122,0.736111,0.905405,0.942857,0.792208,0.897059,0.906977,0.917808,0.830986,0.864865,0.826667,0.77907,0.691358,0.843373,0.928571,0.9,0.92,0.944444,0.8875,0.909091]
precision
0.8552021876820181 [0.905882,0.7875,0.828947,0.791209,0.802469,0.825,0.72619,0.671429,0.941176,0.894737,0.810811,0.913043,0.914634,0.948052,0.884058,0.959459,0.907692,0.7625,0.614458,0.906667,0.936709,0.897436,0.923077,0.911392,0.907895,0.830986]
precision
0.8626983277924941 [0.865169,0.842105,0.871429,0.793103,0.833333,0.851852,0.691358,0.738462,0.873418,0.913043,0.764706,0.933333,0.9125,0.934211,0.852941,0.921053,0.853333,0.777778,0.763158,0.935897,0.961538,0.921053,0.869048,0.92,0.933333,0.880597]
predictive_accuracy
0.8654999999999999
predictive_accuracy
0.8495
predictive_accuracy
0.853
predictive_accuracy
0.8554999999999999
predictive_accuracy
0.858
predictive_accuracy
0.853
predictive_accuracy
0.8504999999999999
predictive_accuracy
0.8504999999999999
predictive_accuracy
0.852
predictive_accuracy
0.861
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
0.8655 [0.873418,0.896104,0.945946,0.888889,0.844156,0.883117,0.74026,0.616438,0.802632,0.878378,0.837838,0.934211,0.936709,0.948718,0.853333,0.8625,0.782051,0.868421,0.72,0.924051,0.95122,0.909091,0.946667,0.935897,0.886076,0.810811]
recall
0.8495 [0.974359,0.831169,0.918919,0.91358,0.857143,0.818182,0.792208,0.575342,0.842105,0.878378,0.810811,0.855263,0.886076,0.936709,0.813333,0.825,0.769231,0.815789,0.733333,0.898734,0.950617,0.909091,0.933333,0.873418,0.898734,0.743243]
recall
0.853 [0.898734,0.87013,0.878378,0.901235,0.789474,0.884615,0.818182,0.671233,0.842105,0.932432,0.851351,0.855263,0.898734,0.911392,0.813333,0.8875,0.769231,0.75,0.716216,0.898734,0.876543,0.948052,0.906667,0.848101,0.898734,0.837838]
recall
0.8555 [0.949367,0.818182,0.810811,0.9125,0.868421,0.923077,0.805195,0.643836,0.855263,0.893333,0.876712,0.947368,0.9375,0.898734,0.76,0.825,0.794872,0.776316,0.689189,0.860759,0.925926,0.883117,0.92,0.835443,0.936709,0.864865]
recall
0.858 [0.962025,0.961039,0.851351,0.8375,0.844156,0.871795,0.779221,0.726027,0.881579,0.84,0.743243,0.881579,0.85,0.884615,0.72,0.9375,0.884615,0.828947,0.706667,0.8875,0.950617,0.921053,0.986667,0.886076,0.871795,0.780822]
recall
0.853 [0.949367,0.921053,0.837838,0.925,0.857143,0.807692,0.769231,0.739726,0.893333,0.84,0.743243,0.815789,0.911392,0.948718,0.710526,0.875,0.835443,0.815789,0.653333,0.9,0.938272,0.907895,0.933333,0.860759,0.884615,0.876712]
recall
0.8505 [0.987342,0.855263,0.794521,0.9,0.883117,0.897436,0.820513,0.662162,0.893333,0.866667,0.743243,0.855263,0.962025,0.846154,0.657895,0.8125,0.78481,0.815789,0.746667,0.875,0.876543,0.907895,0.946667,0.936709,0.910256,0.849315]
recall
0.8505 [0.949367,0.921053,0.835616,0.8625,0.792208,0.883117,0.730769,0.716216,0.893333,0.88,0.824324,0.802632,0.987342,0.858974,0.776316,0.790123,0.78481,0.881579,0.746667,0.875,0.962963,0.828947,0.92,0.860759,0.910256,0.821918]
recall
0.852 [0.974684,0.828947,0.863014,0.888889,0.844156,0.857143,0.792208,0.635135,0.853333,0.906667,0.810811,0.818182,0.949367,0.935897,0.813333,0.876543,0.75641,0.813333,0.68,0.85,0.902439,0.921053,0.947368,0.923077,0.873418,0.808219]
recall
0.861 [0.974684,0.831169,0.835616,0.851852,0.844156,0.896104,0.727273,0.648649,0.92,0.84,0.878378,0.921053,0.924051,0.910256,0.773333,0.864198,0.820513,0.84,0.773333,0.9125,0.914634,0.921053,0.960526,0.884615,0.886076,0.808219]
relative_absolute_error
0.13988482171650518
relative_absolute_error
0.15652526523917276
relative_absolute_error
0.1528853333513371
relative_absolute_error
0.15028522313568862
relative_absolute_error
0.14768507141066142
relative_absolute_error
0.15288523410149296
relative_absolute_error
0.15548531504180882
relative_absolute_error
0.15548542809210456
relative_absolute_error
0.15392562544126367
relative_absolute_error
0.14456530212339472
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
0.1017160451755465
root_mean_squared_error
0.10759611088196007
root_mean_squared_error
0.10633763354378484
root_mean_squared_error
0.10542952440082703
root_mean_squared_error
0.10451352507248472
root_mean_squared_error
0.10633763354378484
root_mean_squared_error
0.10723805294763594
root_mean_squared_error
0.10723805294763594
root_mean_squared_error
0.10669871313476724
root_mean_squared_error
0.10340361547019361
root_relative_squared_error
0.528932458516023
root_relative_squared_error
0.5595088569088945
root_relative_squared_error
0.5529653577717257
root_relative_squared_error
0.5482430365231366
root_relative_squared_error
0.5434795315917835
root_relative_squared_error
0.5529649987986953
root_relative_squared_error
0.5576472295229814
root_relative_squared_error
0.5576476349771368
root_relative_squared_error
0.5548439265522495
root_relative_squared_error
0.5377091605949507
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
6993.593999999575
usercpu_time_millis
6859.236000000237
usercpu_time_millis
6911.532000001898
usercpu_time_millis
6943.419999999605
usercpu_time_millis
6886.107999998785
usercpu_time_millis
6870.632000000114
usercpu_time_millis
6956.898000000365
usercpu_time_millis
6993.064000000231
usercpu_time_millis
6811.438000000635
usercpu_time_millis
6988.249999998516
usercpu_time_millis_testing
1638.8139999999112
usercpu_time_millis_testing
1667.7900000013324
usercpu_time_millis_testing
1614.984000001641
usercpu_time_millis_testing
1626.009999999951
usercpu_time_millis_testing
1661.947999999029
usercpu_time_millis_testing
1614.9659999991854
usercpu_time_millis_testing
1605.2600000002712
usercpu_time_millis_testing
1643.3020000004035
usercpu_time_millis_testing
1638.57199999984
usercpu_time_millis_testing
1585.8599999992293
usercpu_time_millis_training
5354.779999999664
usercpu_time_millis_training
5191.445999998905
usercpu_time_millis_training
5296.548000000257
usercpu_time_millis_training
5317.409999999654
usercpu_time_millis_training
5224.159999999756
usercpu_time_millis_training
5255.666000000929
usercpu_time_millis_training
5351.638000000094
usercpu_time_millis_training
5349.761999999828
usercpu_time_millis_training
5172.866000000795
usercpu_time_millis_training
5402.389999999286
wall_clock_time_millis
3534.696102142334
wall_clock_time_millis
3448.544979095459
wall_clock_time_millis
3475.071668624878
wall_clock_time_millis
3485.060214996338
wall_clock_time_millis
3467.4019813537598
wall_clock_time_millis
3454.7781944274902
wall_clock_time_millis
3497.8113174438477
wall_clock_time_millis
3531.4626693725586
wall_clock_time_millis
3429.5730590820312
wall_clock_time_millis
3509.3612670898438
wall_clock_time_millis_testing
823.436975479126
wall_clock_time_millis_testing
840.0990962982178
wall_clock_time_millis_testing
812.5019073486328
wall_clock_time_millis_testing
815.93918800354
wall_clock_time_millis_testing
837.493896484375
wall_clock_time_millis_testing
815.93918800354
wall_clock_time_millis_testing
808.9261054992676
wall_clock_time_millis_testing
828.8428783416748
wall_clock_time_millis_testing
831.1500549316406
wall_clock_time_millis_testing
795.5231666564941
wall_clock_time_millis_training
2711.259126663208
wall_clock_time_millis_training
2608.445882797241
wall_clock_time_millis_training
2662.569761276245
wall_clock_time_millis_training
2669.121026992798
wall_clock_time_millis_training
2629.9080848693848
wall_clock_time_millis_training
2638.83900642395
wall_clock_time_millis_training
2688.88521194458
wall_clock_time_millis_training
2702.619791030884
wall_clock_time_millis_training
2598.4230041503906
wall_clock_time_millis_training
2713.8381004333496