10396175
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)
8235393
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
7061.843965992758
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
1.6792401713262466
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
21714082
description
https://api.openml.org/data/download/21714082/description.xml
-1
21714083
predictions
https://api.openml.org/data/download/21714083/predictions.arff
area_under_roc_curve
0.9479289947800577 [0.953105,0.943318,0.958352,0.958277,0.945027,0.940822,0.955365,0.906423,0.91492,0.94956,0.948844,0.951302,0.958565,0.940275,0.936021,0.97872,0.958964,0.947561,0.973028,0.95891,0.944545,0.940684,0.960615,0.929828,0.956405,0.932432]
average_cost
0
f_measure
0.915844222065607 [0.950798,0.927062,0.951374,0.940204,0.935065,0.926202,0.938124,0.874269,0.89957,0.925086,0.904277,0.946933,0.509032,0.928668,0.926004,0.948339,0.938722,0.921409,0.966553,0.951204,0.938961,0.927098,0.955203,0.917966,0.946605,0.924309]
kappa
0.895934005059308
kb_relative_information_score
0.8986218482101357
mean_absolute_error
0.007696153846153861
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
0.9482918565393931 [1,0.970043,0.988287,0.963494,0.984173,0.974359,0.965753,0.943218,0.981221,0.950565,0.907357,0.995652,0.341854,0.981508,0.986486,0.936817,0.958722,0.947075,0.987448,0.986505,0.994498,0.976812,0.991416,0.984012,0.982216,0.992188]
predictive_accuracy
0.89995
prior_entropy
4.6998107276322685
recall
0.89995 [0.90621,0.887728,0.91712,0.918012,0.890625,0.882581,0.912031,0.814714,0.830464,0.900937,0.901218,0.90276,0.996212,0.881226,0.87251,0.960149,0.91954,0.897098,0.946524,0.918342,0.889299,0.882199,0.921543,0.860229,0.913486,0.865123]
relative_absolute_error
0.10405562778260596
root_mean_prior_squared_error
0.19230433563020993
root_mean_squared_error
0.08772772564106436
root_relative_squared_error
0.4561921360408623
total_cost
0
area_under_roc_curve
0.9526422210245381 [0.949367,0.954025,0.965957,0.962702,0.928311,0.928311,0.967012,0.910699,0.887118,0.931394,0.971935,0.960526,0.963821,0.948458,0.946407,0.991667,0.961018,0.972905,0.992814,0.942778,0.969512,0.948052,0.973074,0.967689,0.930119,0.93893]
area_under_roc_curve
0.9521235517752129 [0.929487,0.941298,0.979211,0.956008,0.947532,0.933505,0.953505,0.91018,0.901316,0.992984,0.937112,0.953687,0.964341,0.973903,0.933333,0.96849,0.980509,0.94001,0.986667,0.961505,0.993827,0.941038,0.97974,0.917201,0.974423,0.898649]
area_under_roc_curve
0.9458796395860679 [0.949367,0.960519,0.945686,0.974006,0.94027,0.935897,0.953505,0.902812,0.920793,0.957383,0.978691,0.907895,0.953588,0.955696,0.952814,0.992708,0.927926,0.920013,0.952703,0.987081,0.91358,0.973246,0.933333,0.92379,0.942778,0.932432]
area_under_roc_curve
0.9518494221468078 [0.968354,0.927791,0.93893,0.973958,0.953687,0.960758,0.973766,0.909402,0.901316,0.959481,0.963159,0.973684,0.964583,0.942778,0.926407,0.986719,0.973318,0.94053,0.986486,0.936709,0.981481,0.927791,0.95974,0.892405,0.980492,0.93867]
area_under_roc_curve
0.9497601511736333 [0.962025,0.934025,0.912162,0.943229,0.986493,0.929227,0.953765,0.924398,0.920793,0.925368,0.944648,0.960526,0.95625,0.948458,0.932814,0.979427,0.973579,0.952648,0.95974,0.95599,0.938011,0.966586,0.973074,0.936709,0.961278,0.958904]
area_under_roc_curve
0.9489990915052563 [0.936709,0.966845,0.9592,0.917969,0.941298,0.909996,0.954868,0.923101,0.91974,0.945887,0.924378,0.960526,0.960958,0.942308,0.913954,0.991927,0.960984,0.973684,0.95974,0.975,0.975309,0.959747,0.953333,0.92301,0.974099,0.944946]
area_under_roc_curve
0.9409301150190467 [0.949367,0.907635,0.965753,0.96849,0.954285,0.992809,0.954348,0.924637,0.926147,0.952554,0.890853,0.967105,0.94656,0.916146,0.940789,0.961719,0.936449,0.925812,0.965887,0.955469,0.888889,0.914214,0.946667,0.942257,0.935637,0.931507]
area_under_roc_curve
0.9469127835103223 [0.981013,0.960007,0.972084,0.955469,0.902337,0.928311,0.941787,0.911903,0.933074,0.945887,0.950885,0.966845,0.960177,0.896916,0.914474,0.972703,0.954135,0.966326,0.966667,0.975,0.937751,0.920533,0.953333,0.943038,0.961018,0.945205]
area_under_roc_curve
0.9450947344361215 [0.943038,0.933691,0.965753,0.967833,0.954545,0.915324,0.959999,0.871102,0.91974,0.945368,0.957642,0.941298,0.959396,0.935897,0.946407,0.98557,0.948198,0.958182,0.986147,0.943229,0.914373,0.927632,0.960526,0.948718,0.961244,0.917549]
area_under_roc_curve
0.9451009626073599 [0.962025,0.947272,0.979452,0.962702,0.941558,0.973766,0.941298,0.876561,0.91974,0.93974,0.969338,0.921053,0.956012,0.941527,0.953333,0.95653,0.973839,0.925368,0.973333,0.95625,0.932927,0.927632,0.973164,0.903846,0.943038,0.917808]
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
0.9226449312113744 [0.946667,0.939597,0.958333,0.955414,0.916667,0.916667,0.953642,0.895522,0.848921,0.901408,0.945946,0.958904,0.531987,0.939597,0.937063,0.946108,0.947368,0.953642,0.980132,0.933333,0.968553,0.945205,0.965986,0.960526,0.918919,0.928571]
f_measure
0.9211131561876618 [0.924138,0.931507,0.965986,0.936709,0.932432,0.893333,0.927152,0.882353,0.890511,0.986486,0.884354,0.945205,0.535593,0.955414,0.928571,0.961538,0.974026,0.917808,0.986486,0.948052,0.993789,0.92517,0.972973,0.897959,0.967742,0.887218]
f_measure
0.9119156348397551 [0.946667,0.946667,0.93617,0.944785,0.924138,0.931507,0.927152,0.861314,0.907801,0.906667,0.95302,0.898551,0.501608,0.953642,0.937931,0.969325,0.887417,0.888889,0.950355,0.980892,0.905405,0.954248,0.928571,0.911565,0.933333,0.927536]
f_measure
0.9204098614399409 [0.96732,0.90411,0.928571,0.95,0.945205,0.941176,0.966887,0.863309,0.890511,0.945205,0.900662,0.972973,0.540541,0.933333,0.914286,0.968944,0.948718,0.930556,0.986301,0.932432,0.981132,0.90411,0.951724,0.879433,0.968153,0.921986]
f_measure
0.918009409235855 [0.960526,0.905405,0.903704,0.928105,0.974026,0.917808,0.933333,0.911765,0.907801,0.888889,0.910345,0.958904,0.521452,0.939597,0.915493,0.939024,0.954839,0.92,0.951724,0.948052,0.928105,0.95302,0.965986,0.932432,0.953642,0.957143]
f_measure
0.917423869118835 [0.932432,0.959459,0.951049,0.893333,0.931507,0.895105,0.946667,0.879433,0.906475,0.924138,0.887324,0.958904,0.512987,0.938776,0.893617,0.951807,0.935897,0.972973,0.951724,0.974359,0.974684,0.939597,0.951049,0.893333,0.96732,0.935252]
f_measure
0.9068168480223522 [0.946667,0.892086,0.964539,0.961538,0.945946,0.974684,0.934211,0.893617,0.907801,0.931507,0.852941,0.965986,0.461538,0.896552,0.937063,0.942675,0.926174,0.878378,0.945946,0.935897,0.875,0.9,0.943662,0.921053,0.92517,0.926471]
f_measure
0.9137755689031362 [0.980645,0.945946,0.958333,0.935897,0.885714,0.916667,0.926174,0.897059,0.921986,0.924138,0.905405,0.959459,0.508039,0.873239,0.906475,0.916667,0.917197,0.946667,0.965517,0.974359,0.922078,0.901408,0.951049,0.939597,0.947368,0.942029]
f_measure
0.9105850191341679 [0.939597,0.916667,0.964539,0.938272,0.952381,0.901408,0.934211,0.839695,0.906475,0.911565,0.912752,0.931507,0.503185,0.931507,0.937063,0.940476,0.933333,0.913907,0.973333,0.928105,0.900662,0.921986,0.958904,0.945946,0.941935,0.903704]
f_measure
0.9131270474112407 [0.960526,0.926174,0.979021,0.955414,0.937931,0.966887,0.931507,0.817518,0.906475,0.929577,0.886076,0.914286,0.48318,0.92,0.951049,0.948718,0.961039,0.888889,0.972603,0.954248,0.928105,0.921986,0.96,0.893617,0.939597,0.910448]
kappa
0.9053486096516855
kappa
0.9043083849517655
kappa
0.8918263073739874
kappa
0.9037853946229037
kappa
0.8996237450692764
kappa
0.8980670708272638
kappa
0.8819438286656506
kappa
0.8939055499359013
kappa
0.8902647972850158
kappa
0.8902663381591007
kb_relative_information_score
0.9077849633550512
kb_relative_information_score
0.9067210263531394
kb_relative_information_score
0.8946203781632933
kb_relative_information_score
0.9062015235735127
kb_relative_information_score
0.9022135553905207
kb_relative_information_score
0.9006821904856804
kb_relative_information_score
0.8850709596275769
kb_relative_information_score
0.8966736146364346
kb_relative_information_score
0.8931155755155697
kb_relative_information_score
0.8931344845109657
mean_absolute_error
0.006999999999999984
mean_absolute_error
0.0070769230769230605
mean_absolute_error
0.007999999999999981
mean_absolute_error
0.007115384615384599
mean_absolute_error
0.0074230769230769055
mean_absolute_error
0.007538461538461521
mean_absolute_error
0.008730769230769209
mean_absolute_error
0.007846153846153827
mean_absolute_error
0.008115384615384596
mean_absolute_error
0.008115384615384596
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
0.9522288939860811 [1,0.972222,0.985714,0.986842,0.985075,0.985075,0.972973,0.983607,0.936508,0.941176,0.945946,1,0.362385,0.985915,0.985294,0.908046,0.972973,0.96,0.973684,0.985915,1,1,0.986111,0.986486,0.985507,0.984848]
precision
0.950095639556758 [1,0.985507,0.972603,0.961039,0.971831,0.917808,0.945946,0.952381,1,0.986486,0.890411,0.985714,0.365741,0.961538,1,0.986842,0.986842,0.957143,1,0.973333,1,0.971429,0.986301,0.970588,0.986842,1]
precision
0.945613568011526 [1,0.972603,0.985075,0.939024,0.971014,1,0.945946,0.921875,0.984615,0.894737,0.946667,1,0.336207,1,0.971429,0.951807,0.917808,0.941176,1,0.987179,1,0.960526,1,0.985294,0.985915,1]
precision
0.9494026697018263 [1,0.956522,0.984848,0.95,0.985714,0.96,0.986486,0.909091,1,0.971831,0.871795,1,0.37037,0.985915,0.984615,0.962963,0.948718,0.985294,1,1,1,0.956522,0.985714,1,0.974359,0.970149]
precision
0.9484387615228006 [1,0.943662,1,0.972603,0.974026,0.985294,0.958904,0.984127,0.984615,0.927536,0.929577,1,0.35426,0.985915,0.970149,0.916667,0.961039,0.932432,0.985714,0.986486,0.986111,0.972603,0.986111,1,0.986301,1]
precision
0.9496417143578688 [1,0.986111,0.985507,0.957143,0.985507,0.984615,0.986111,0.911765,0.984375,0.957143,0.926471,1,0.344978,1,0.969231,0.918605,0.948052,1,0.985714,1,1,0.958904,1,0.943662,0.986667,0.984848]
precision
0.9474798560811869 [1,0.984127,1,0.986842,0.985915,0.9625,0.959459,0.940299,0.969697,0.957746,0.935484,1,0.301158,0.970149,1,0.961039,0.985714,0.902778,0.958904,0.960526,1,0.984375,1,0.958904,0.985507,1]
precision
0.9474354701842319 [1,0.972222,0.971831,0.960526,0.984127,0.985075,0.971831,0.983871,0.984848,0.957143,0.905405,0.986111,0.340517,0.96875,1,0.885057,0.923077,0.959459,1,1,0.972603,0.969697,1,1,0.972973,1]
precision
0.9453648784569939 [1,0.970588,1,0.938272,1,0.984615,0.946667,0.964912,0.984375,0.930556,0.906667,0.985507,0.33617,1,0.985294,0.908046,0.972222,0.907895,0.973333,0.972603,0.985507,1,1,1,0.960526,0.983871]
precision
0.9515082077108872 [1,0.958333,1,0.986842,1,0.986486,0.985507,0.888889,0.984375,0.985075,0.833333,1,0.318548,0.958333,1,0.986667,0.973684,0.927536,1,1,1,1,0.972973,1,1,1]
predictive_accuracy
0.909
predictive_accuracy
0.9079999999999999
predictive_accuracy
0.8959999999999999
predictive_accuracy
0.9075
predictive_accuracy
0.9035
predictive_accuracy
0.902
predictive_accuracy
0.8865000000000001
predictive_accuracy
0.898
predictive_accuracy
0.8945000000000001
predictive_accuracy
0.8945000000000001
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
0.909 [0.898734,0.909091,0.932432,0.925926,0.857143,0.857143,0.935065,0.821918,0.776316,0.864865,0.945946,0.921053,1,0.897436,0.893333,0.9875,0.923077,0.947368,0.986667,0.886076,0.939024,0.896104,0.946667,0.935897,0.860759,0.878378]
recall
0.908 [0.858974,0.883117,0.959459,0.91358,0.896104,0.87013,0.909091,0.821918,0.802632,0.986486,0.878378,0.907895,1,0.949367,0.866667,0.9375,0.961538,0.881579,0.973333,0.924051,0.987654,0.883117,0.96,0.835443,0.949367,0.797297]
recall
0.896 [0.898734,0.922078,0.891892,0.950617,0.881579,0.871795,0.909091,0.808219,0.842105,0.918919,0.959459,0.815789,0.987342,0.911392,0.906667,0.9875,0.858974,0.842105,0.905405,0.974684,0.82716,0.948052,0.866667,0.848101,0.886076,0.864865]
recall
0.9075 [0.936709,0.857143,0.878378,0.95,0.907895,0.923077,0.948052,0.821918,0.802632,0.92,0.931507,0.947368,1,0.886076,0.853333,0.975,0.948718,0.881579,0.972973,0.873418,0.962963,0.857143,0.92,0.78481,0.962025,0.878378]
recall
0.9035 [0.924051,0.87013,0.824324,0.8875,0.974026,0.858974,0.909091,0.849315,0.842105,0.853333,0.891892,0.921053,0.9875,0.897436,0.866667,0.9625,0.948718,0.907895,0.92,0.9125,0.876543,0.934211,0.946667,0.873418,0.923077,0.917808]
recall
0.902 [0.873418,0.934211,0.918919,0.8375,0.883117,0.820513,0.910256,0.849315,0.84,0.893333,0.851351,0.921053,1,0.884615,0.828947,0.9875,0.924051,0.947368,0.92,0.95,0.950617,0.921053,0.906667,0.848101,0.948718,0.890411]
recall
0.8865 [0.898734,0.815789,0.931507,0.9375,0.909091,0.987179,0.910256,0.851351,0.853333,0.906667,0.783784,0.934211,0.987342,0.833333,0.881579,0.925,0.873418,0.855263,0.933333,0.9125,0.777778,0.828947,0.893333,0.886076,0.871795,0.863014]
recall
0.898 [0.962025,0.921053,0.945205,0.9125,0.805195,0.857143,0.884615,0.824324,0.866667,0.893333,0.905405,0.934211,1,0.794872,0.828947,0.950617,0.911392,0.934211,0.933333,0.95,0.876543,0.842105,0.906667,0.886076,0.923077,0.890411]
recall
0.8945 [0.886076,0.868421,0.931507,0.938272,0.909091,0.831169,0.922078,0.743243,0.84,0.893333,0.918919,0.883117,1,0.871795,0.893333,0.975309,0.897436,0.92,0.973333,0.8875,0.829268,0.855263,0.921053,0.897436,0.924051,0.835616]
recall
0.8945 [0.924051,0.896104,0.958904,0.925926,0.883117,0.948052,0.883117,0.756757,0.84,0.88,0.945946,0.842105,1,0.884615,0.906667,0.91358,0.948718,0.853333,0.946667,0.9125,0.865854,0.855263,0.947368,0.807692,0.886076,0.835616]
relative_absolute_error
0.09464326227659463
relative_absolute_error
0.09568321861796614
relative_absolute_error
0.1081637732553678
relative_absolute_error
0.09620334352976612
relative_absolute_error
0.10036344641640023
relative_absolute_error
0.10192348940099535
relative_absolute_error
0.11804403516552042
relative_absolute_error
0.106083703447456
relative_absolute_error
0.10972401002738731
relative_absolute_error
0.10972402427351184
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
0.08366600265340746
root_mean_squared_error
0.08412444993533723
root_mean_squared_error
0.08944271909999148
root_mean_squared_error
0.08435273922869724
root_mean_squared_error
0.08615728015134244
root_mean_squared_error
0.08682431421244582
root_mean_squared_error
0.09343858534229427
root_mean_squared_error
0.08857851797221393
root_mean_squared_error
0.09008542953987951
root_mean_squared_error
0.09008542953987951
root_relative_squared_error
0.43507063611547003
root_relative_squared_error
0.4374542391504013
root_relative_squared_error
0.4651102673526957
root_relative_squared_error
0.438641852522883
root_relative_squared_error
0.4480254419454196
root_relative_squared_error
0.451494030891839
root_relative_squared_error
0.48588879427081877
root_relative_squared_error
0.46061635491558817
root_relative_squared_error
0.46845319856782713
root_relative_squared_error
0.468453259390017
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
46531.5180000016
usercpu_time_millis
46524.218000000474
usercpu_time_millis
47597.992000000886
usercpu_time_millis
46376.587999999174
usercpu_time_millis
45977.68800000085
usercpu_time_millis
52395.78800000163
usercpu_time_millis
56675.72000000109
usercpu_time_millis
53262.94399999824
usercpu_time_millis
53930.29999999999
usercpu_time_millis
54886.64999999855
usercpu_time_millis_testing
3002.4280000016006
usercpu_time_millis_testing
2965.2180000011867
usercpu_time_millis_testing
3002.57000000056
usercpu_time_millis_testing
2939.7439999993367
usercpu_time_millis_testing
2990.139999999883
usercpu_time_millis_testing
3411.922000001141
usercpu_time_millis_testing
3415.8380000008037
usercpu_time_millis_testing
3275.343999999677
usercpu_time_millis_testing
3510.952000000543
usercpu_time_millis_testing
3431.275999999343
usercpu_time_millis_training
43529.09
usercpu_time_millis_training
43558.99999999929
usercpu_time_millis_training
44595.422000000326
usercpu_time_millis_training
43436.84399999984
usercpu_time_millis_training
42987.54800000097
usercpu_time_millis_training
48983.86600000049
usercpu_time_millis_training
53259.88200000029
usercpu_time_millis_training
49987.599999998565
usercpu_time_millis_training
50419.347999999445
usercpu_time_millis_training
51455.37399999921
wall_clock_time_millis
24259.973764419556
wall_clock_time_millis
23877.89511680603
wall_clock_time_millis
24580.955266952515
wall_clock_time_millis
23602.48303413391
wall_clock_time_millis
23655.590057373047
wall_clock_time_millis
27704.200983047485
wall_clock_time_millis
30391.788959503174
wall_clock_time_millis
27681.60104751587
wall_clock_time_millis
27494.581699371338
wall_clock_time_millis
28034.94906425476
wall_clock_time_millis_testing
1524.9719619750977
wall_clock_time_millis_testing
1501.5122890472412
wall_clock_time_millis_testing
1531.3351154327393
wall_clock_time_millis_testing
1484.571933746338
wall_clock_time_millis_testing
1515.9170627593994
wall_clock_time_millis_testing
1743.2739734649658
wall_clock_time_millis_testing
1773.0250358581543
wall_clock_time_millis_testing
1714.576005935669
wall_clock_time_millis_testing
1817.145824432373
wall_clock_time_millis_testing
1727.2138595581055
wall_clock_time_millis_training
22735.001802444458
wall_clock_time_millis_training
22376.38282775879
wall_clock_time_millis_training
23049.620151519775
wall_clock_time_millis_training
22117.911100387573
wall_clock_time_millis_training
22139.672994613647
wall_clock_time_millis_training
25960.92700958252
wall_clock_time_millis_training
28618.76392364502
wall_clock_time_millis_training
25967.0250415802
wall_clock_time_millis_training
25677.435874938965
wall_clock_time_millis_training
26307.735204696655