10396138 8323 Heinrich Peters 6 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8231701 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 3.179246093743476 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.1657934328304418 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00660161527743328 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 6 letter https://www.openml.org/data/download/6/dataset_6_letter.arff -1 21714008 description https://api.openml.org/data/download/21714008/description.xml -1 21714009 predictions https://api.openml.org/data/download/21714009/predictions.arff area_under_roc_curve 0.7313900130226815 [0.852258,0.796713,0.804974,0.749328,0.639417,0.724827,0.646319,0.551511,0.798592,0.686329,0.629748,0.763619,0.84898,0.687666,0.673244,0.809478,0.753305,0.731734,0.563238,0.695782,0.802401,0.847514,0.789373,0.669785,0.66619,0.815291] average_cost 0 f_measure 0.4797775166423577 [0.606506,0.492104,0.565191,0.545095,0.334551,0.419753,0.317338,0.146497,0.541691,0.346742,0.308265,0.521522,0.657027,0.50423,0.336262,0.705056,0.539474,0.528938,0.173302,0.415568,0.692683,0.629885,0.605156,0.446982,0.382597,0.663848] kappa 0.4626960691358166 kb_relative_information_score 0.4767310809027147 mean_absolute_error 0.03974230769231311 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 0.49552326630044347 [0.517457,0.403509,0.510405,0.579832,0.381032,0.3714,0.313924,0.176245,0.478659,0.300589,0.342715,0.496437,0.60619,0.746867,0.300839,0.808374,0.556309,0.594728,0.208255,0.415307,0.799035,0.561475,0.617729,0.624146,0.418429,0.687591] predictive_accuracy 0.48335 prior_entropy 4.6998107276322685 recall 0.48335 [0.732573,0.630548,0.633152,0.514286,0.298177,0.482581,0.320828,0.125341,0.623841,0.409639,0.280108,0.549277,0.717172,0.380587,0.381142,0.625156,0.523627,0.476253,0.148396,0.415829,0.611316,0.717277,0.593085,0.348158,0.352417,0.641689] relative_absolute_error 0.5373347335721198 root_mean_prior_squared_error 0.19230433563020993 root_mean_squared_error 0.1993547282918394 root_relative_squared_error 1.0366626817774247 total_cost 0 area_under_roc_curve 0.7265182113028569 [0.829621,0.798421,0.855519,0.730579,0.660771,0.740499,0.651157,0.517278,0.750684,0.665558,0.664513,0.783838,0.843238,0.651505,0.645887,0.771615,0.768617,0.712428,0.534978,0.687353,0.812902,0.862843,0.813766,0.680695,0.617212,0.818613] area_under_roc_curve 0.7278338377210346 [0.824135,0.753226,0.792891,0.746312,0.614276,0.774787,0.661544,0.560709,0.825391,0.701945,0.645281,0.752503,0.827374,0.6799,0.731082,0.790365,0.749126,0.724546,0.551602,0.683709,0.816298,0.851416,0.791169,0.648775,0.620418,0.790807] area_under_roc_curve 0.7361602069357648 [0.865171,0.811408,0.798869,0.806738,0.649059,0.70312,0.61713,0.552665,0.788338,0.723254,0.630729,0.736404,0.834484,0.713368,0.679048,0.840885,0.772946,0.749043,0.571995,0.719862,0.768739,0.801808,0.786061,0.642446,0.717437,0.832905] area_under_roc_curve 0.7356202162350036 [0.866212,0.757647,0.787432,0.798698,0.641181,0.737159,0.652191,0.537307,0.800717,0.646667,0.641344,0.783319,0.865625,0.726026,0.687273,0.828125,0.742456,0.723506,0.590188,0.657351,0.842813,0.850896,0.767879,0.687791,0.647817,0.826149] area_under_roc_curve 0.7330132179080501 [0.865431,0.788027,0.757809,0.730729,0.629083,0.72668,0.691412,0.543378,0.779598,0.709264,0.599801,0.777779,0.808333,0.721758,0.658009,0.840104,0.792697,0.749302,0.517316,0.663021,0.837161,0.864345,0.773766,0.683106,0.709364,0.815172] area_under_roc_curve 0.7257492695697837 [0.791564,0.829194,0.838371,0.786458,0.633237,0.688219,0.65522,0.563666,0.807013,0.666926,0.602144,0.751983,0.881473,0.703567,0.610789,0.817187,0.724547,0.70351,0.573939,0.721615,0.792909,0.863825,0.747619,0.653803,0.59606,0.851494] area_under_roc_curve 0.7257430427109128 [0.898639,0.791279,0.76707,0.723437,0.645957,0.704941,0.662931,0.528599,0.797489,0.652814,0.583691,0.752503,0.868294,0.684076,0.672858,0.789583,0.747781,0.732164,0.579394,0.717708,0.774651,0.814052,0.805022,0.666722,0.694462,0.795921] area_under_roc_curve 0.7348423532674591 [0.87835,0.856289,0.858706,0.703125,0.649604,0.718686,0.618746,0.576415,0.826234,0.70026,0.653595,0.727487,0.871418,0.649424,0.66498,0.793691,0.712149,0.750342,0.583723,0.706771,0.830728,0.83171,0.752727,0.6799,0.700352,0.803289] area_under_roc_curve 0.7413678845601187 [0.856417,0.823394,0.796284,0.769961,0.61973,0.76284,0.620503,0.597464,0.799048,0.746753,0.653076,0.793754,0.834224,0.668394,0.718268,0.793691,0.763768,0.792987,0.546234,0.698177,0.808629,0.844608,0.83301,0.642753,0.685791,0.794364] area_under_roc_curve 0.7270509289764796 [0.846704,0.759727,0.796802,0.69719,0.651417,0.692192,0.63245,0.537173,0.812121,0.650303,0.623453,0.77622,0.855636,0.677926,0.665108,0.829686,0.759866,0.679654,0.583463,0.701823,0.739731,0.889881,0.821671,0.712226,0.673393,0.824097] 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 0.4675836594912051 [0.536585,0.485149,0.658537,0.490566,0.38806,0.418848,0.344828,0.068966,0.487805,0.325301,0.363636,0.535714,0.629213,0.432432,0.277778,0.642336,0.581081,0.519685,0.110236,0.430556,0.693333,0.617021,0.653061,0.456693,0.296296,0.666667] f_measure 0.47253095045865 [0.554974,0.43299,0.555556,0.554054,0.290076,0.47619,0.343949,0.176991,0.614458,0.351064,0.338235,0.509554,0.650307,0.47541,0.430233,0.671429,0.547945,0.526316,0.13986,0.392405,0.688742,0.622222,0.584416,0.417391,0.283784,0.615385] f_measure 0.4907357914439483 [0.615385,0.5,0.554217,0.625767,0.358209,0.402367,0.273973,0.138889,0.519774,0.385027,0.304348,0.528571,0.670807,0.566667,0.36478,0.753425,0.56051,0.541667,0.198347,0.432749,0.647059,0.588957,0.598639,0.403509,0.464516,0.699301] f_measure 0.48980190682468666 [0.628272,0.474576,0.564103,0.620253,0.333333,0.416667,0.311377,0.115702,0.527473,0.282486,0.335878,0.529412,0.681818,0.590164,0.38961,0.731034,0.534247,0.510949,0.227273,0.341772,0.756757,0.615385,0.59854,0.512821,0.347222,0.690141] f_measure 0.48092095311458355 [0.618557,0.444444,0.493827,0.527778,0.333333,0.41989,0.372093,0.128,0.556962,0.386364,0.262295,0.533333,0.596491,0.569106,0.325,0.738255,0.594937,0.545455,0.069565,0.363636,0.758621,0.655172,0.595745,0.444444,0.468966,0.643836] f_measure 0.46933171951534736 [0.551724,0.519608,0.590909,0.606452,0.323529,0.365714,0.351351,0.170543,0.554913,0.312849,0.242857,0.503145,0.677596,0.551724,0.227273,0.744526,0.48366,0.474074,0.189781,0.424581,0.676056,0.647727,0.562963,0.413223,0.268908,0.727273] f_measure 0.4684940665128306 [0.673575,0.489583,0.491018,0.503401,0.30303,0.419753,0.375,0.095238,0.513661,0.288889,0.215385,0.509554,0.655738,0.508772,0.333333,0.657343,0.49697,0.553846,0.224138,0.43787,0.652174,0.624204,0.61039,0.442623,0.423841,0.637681] f_measure 0.4856276795126233 [0.635897,0.556098,0.635294,0.453333,0.384,0.421053,0.2625,0.198473,0.569832,0.358696,0.366412,0.486486,0.701754,0.403361,0.314607,0.690647,0.466667,0.561151,0.222222,0.434783,0.744828,0.619048,0.549296,0.47541,0.428571,0.656934] f_measure 0.4979684572965326 [0.651685,0.52,0.54878,0.576923,0.294118,0.469945,0.264151,0.244275,0.531073,0.472727,0.360902,0.559524,0.666667,0.439024,0.416667,0.690647,0.595745,0.612245,0.131387,0.458333,0.71831,0.631579,0.638037,0.386555,0.413333,0.611111] f_measure 0.47053710357417466 [0.6,0.497041,0.555556,0.47482,0.347222,0.378698,0.278788,0.116667,0.544444,0.306748,0.28777,0.51462,0.640884,0.5,0.301075,0.724832,0.538462,0.430769,0.220472,0.43871,0.57971,0.674033,0.649351,0.507463,0.394558,0.690647] kappa 0.4529604485724322 kappa 0.45558691578288363 kappa 0.47221209689873905 kappa 0.47114104569507764 kappa 0.46594433080666586 kappa 0.4514227001286687 kappa 0.4514091504953697 kappa 0.46962318807421743 kappa 0.48264131626448303 kappa 0.4540227344933357 kb_relative_information_score 0.4673530137587523 kb_relative_information_score 0.46989244671837205 kb_relative_information_score 0.48594563807008645 kb_relative_information_score 0.4848293461033268 kb_relative_information_score 0.47973699415157234 kb_relative_information_score 0.4657654307235943 kb_relative_information_score 0.4656343767417486 kb_relative_information_score 0.4835559442316279 kb_relative_information_score 0.49625128694364046 kb_relative_information_score 0.4683466520057533 mean_absolute_error 0.04046153846153946 mean_absolute_error 0.04026923076923175 mean_absolute_error 0.03903846153846247 mean_absolute_error 0.03911538461538555 mean_absolute_error 0.03950000000000095 mean_absolute_error 0.04057692307692407 mean_absolute_error 0.04057692307692407 mean_absolute_error 0.03923076923077017 mean_absolute_error 0.038269230769231666 mean_absolute_error 0.04038461538461637 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 0.48603942207084033 [0.436508,0.392,0.6,0.5,0.45614,0.350877,0.367647,0.093023,0.454545,0.293478,0.376812,0.48913,0.565657,0.727273,0.238095,0.77193,0.614286,0.647059,0.134615,0.476923,0.764706,0.522523,0.666667,0.591837,0.357143,0.685714] precision 0.49050209398849065 [0.469027,0.358974,0.511364,0.61194,0.351852,0.401786,0.3375,0.25,0.566667,0.289474,0.370968,0.493827,0.630952,0.674419,0.381443,0.783333,0.588235,0.614035,0.147059,0.392405,0.742857,0.543689,0.56962,0.666667,0.304348,0.637681] precision 0.5115611084030072 [0.517241,0.401575,0.5,0.621951,0.413793,0.373626,0.289855,0.140845,0.455446,0.318584,0.328125,0.578125,0.658537,0.829268,0.345238,0.833333,0.556962,0.573529,0.255319,0.402174,0.8,0.55814,0.611111,0.657143,0.473684,0.724638] precision 0.5093600414217851 [0.535714,0.42,0.536585,0.628205,0.370968,0.350877,0.288889,0.145833,0.45283,0.245098,0.37931,0.478723,0.625,0.837209,0.379747,0.815385,0.573529,0.57377,0.258621,0.341772,0.835821,0.533333,0.66129,0.789474,0.384615,0.720588] precision 0.4933225769668853 [0.521739,0.345324,0.454545,0.59375,0.428571,0.368932,0.336842,0.153846,0.536585,0.336634,0.333333,0.494382,0.56044,0.777778,0.305882,0.797101,0.5875,0.58209,0.1,0.378378,0.859375,0.581633,0.636364,0.535714,0.507463,0.643836] precision 0.4912868261281602 [0.505263,0.414062,0.509804,0.626667,0.372881,0.329897,0.371429,0.196429,0.489796,0.269231,0.257576,0.481928,0.596154,0.842105,0.2,0.894737,0.5,0.542373,0.209677,0.383838,0.786885,0.57,0.633333,0.595238,0.390244,0.742857] precision 0.48834868337905374 [0.570175,0.405172,0.43617,0.552239,0.284091,0.404762,0.409091,0.115385,0.435185,0.247619,0.25,0.493827,0.576923,0.805556,0.295918,0.746032,0.476744,0.666667,0.317073,0.41573,0.789474,0.604938,0.594937,0.627907,0.438356,0.676923] precision 0.5042223519210877 [0.534483,0.44186,0.556701,0.485714,0.5,0.382979,0.256098,0.22807,0.490385,0.302752,0.421053,0.5,0.652174,0.585366,0.27451,0.827586,0.492958,0.619048,0.27451,0.432099,0.84375,0.565217,0.58209,0.674419,0.434211,0.703125] precision 0.5119475939792353 [0.585859,0.419355,0.494505,0.6,0.338983,0.40566,0.256098,0.280702,0.460784,0.433333,0.40678,0.516484,0.650602,0.6,0.376344,0.827586,0.666667,0.625,0.145161,0.515625,0.85,0.568421,0.597701,0.560976,0.43662,0.619718] precision 0.4872565107545933 [0.513514,0.456522,0.505618,0.568966,0.373134,0.347826,0.261364,0.152174,0.466667,0.284091,0.307692,0.463158,0.568627,0.823529,0.252252,0.794118,0.538462,0.509091,0.269231,0.453333,0.714286,0.580952,0.641026,0.607143,0.426471,0.727273] predictive_accuracy 0.474 predictive_accuracy 0.4765 predictive_accuracy 0.4925 predictive_accuracy 0.4915 predictive_accuracy 0.4865 predictive_accuracy 0.4725 predictive_accuracy 0.4725 predictive_accuracy 0.49 predictive_accuracy 0.5025 predictive_accuracy 0.475 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 0.474 [0.696203,0.636364,0.72973,0.481481,0.337662,0.519481,0.324675,0.054795,0.526316,0.364865,0.351351,0.592105,0.708861,0.307692,0.333333,0.55,0.551282,0.434211,0.093333,0.392405,0.634146,0.753247,0.64,0.371795,0.253165,0.648649] recall 0.4765 [0.679487,0.545455,0.608108,0.506173,0.246753,0.584416,0.350649,0.136986,0.671053,0.445946,0.310811,0.526316,0.670886,0.367089,0.493333,0.5875,0.512821,0.460526,0.133333,0.392405,0.641975,0.727273,0.6,0.303797,0.265823,0.594595] recall 0.4925 [0.759494,0.662338,0.621622,0.62963,0.315789,0.435897,0.25974,0.136986,0.605263,0.486486,0.283784,0.486842,0.683544,0.43038,0.386667,0.6875,0.564103,0.513158,0.162162,0.468354,0.54321,0.623377,0.586667,0.291139,0.455696,0.675676] recall 0.4915 [0.759494,0.545455,0.594595,0.6125,0.302632,0.512821,0.337662,0.09589,0.631579,0.333333,0.30137,0.592105,0.75,0.455696,0.4,0.6625,0.5,0.460526,0.202703,0.341772,0.691358,0.727273,0.546667,0.379747,0.316456,0.662162] recall 0.4865 [0.759494,0.623377,0.540541,0.475,0.272727,0.487179,0.415584,0.109589,0.578947,0.453333,0.216216,0.578947,0.6375,0.448718,0.346667,0.6875,0.602564,0.513158,0.053333,0.35,0.679012,0.75,0.56,0.379747,0.435897,0.643836] recall 0.4725 [0.607595,0.697368,0.702703,0.5875,0.285714,0.410256,0.333333,0.150685,0.64,0.373333,0.22973,0.526316,0.78481,0.410256,0.263158,0.6375,0.468354,0.421053,0.173333,0.475,0.592593,0.75,0.506667,0.316456,0.205128,0.712329] recall 0.4725 [0.822785,0.618421,0.561644,0.4625,0.324675,0.435897,0.346154,0.081081,0.626667,0.346667,0.189189,0.526316,0.759494,0.371795,0.381579,0.5875,0.518987,0.473684,0.173333,0.4625,0.555556,0.644737,0.626667,0.341772,0.410256,0.60274] recall 0.49 [0.78481,0.75,0.739726,0.425,0.311688,0.467532,0.269231,0.175676,0.68,0.44,0.324324,0.473684,0.759494,0.307692,0.368421,0.592593,0.443038,0.513158,0.186667,0.4375,0.666667,0.684211,0.52,0.367089,0.423077,0.616438] recall 0.5025 [0.734177,0.684211,0.616438,0.555556,0.25974,0.558442,0.272727,0.216216,0.626667,0.52,0.324324,0.61039,0.683544,0.346154,0.466667,0.592593,0.538462,0.6,0.12,0.4125,0.621951,0.710526,0.684211,0.294872,0.392405,0.60274] recall 0.475 [0.721519,0.545455,0.616438,0.407407,0.324675,0.415584,0.298701,0.094595,0.653333,0.333333,0.27027,0.578947,0.734177,0.358974,0.373333,0.666667,0.538462,0.373333,0.186667,0.425,0.487805,0.802632,0.657895,0.435897,0.367089,0.657534] relative_absolute_error 0.5470588566757154 relative_absolute_error 0.5444583146359414 relative_absolute_error 0.5278184127605827 relative_absolute_error 0.5288583803771606 relative_absolute_error 0.5340583392209625 relative_absolute_error 0.5486187822349642 relative_absolute_error 0.5486187537428521 relative_absolute_error 0.530418517237294 relative_absolute_error 0.5174189098448019 relative_absolute_error 0.5460200260056424 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 0.20115053681643372 root_mean_squared_error 0.20067194813733122 root_mean_squared_error 0.19758153136986886 root_mean_squared_error 0.19777609717907155 root_mean_squared_error 0.1987460691435203 root_mean_squared_error 0.2014371442334409 root_mean_squared_error 0.2014371442334409 root_mean_squared_error 0.1980675875320598 root_mean_squared_error 0.19562523040045643 root_mean_squared_error 0.20095923811712754 root_relative_squared_error 1.0460006362468413 root_relative_squared_error 1.043511065554917 root_relative_squared_error 1.0274419181807222 root_relative_squared_error 1.028453544539546 root_relative_squared_error 1.0334970568537984 root_relative_squared_error 1.0474907754383405 root_relative_squared_error 1.047490721037712 root_relative_squared_error 1.0299694811394382 root_relative_squared_error 1.0172706659637307 root_relative_squared_error 1.0450081725905356 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 21257.207710004877 usercpu_time_millis 20802.326151999296 usercpu_time_millis 21027.28484999534 usercpu_time_millis 20824.8071909984 usercpu_time_millis 21367.442923001363 usercpu_time_millis 20800.465384003473 usercpu_time_millis 21504.160948999925 usercpu_time_millis 20759.31522099563 usercpu_time_millis 21302.24946999806 usercpu_time_millis 20972.96463499515 usercpu_time_millis_testing 2949.014582001837 usercpu_time_millis_testing 2831.9981599997845 usercpu_time_millis_testing 2810.6464960001176 usercpu_time_millis_testing 2906.36424600234 usercpu_time_millis_testing 2936.831277998863 usercpu_time_millis_testing 2822.363104998658 usercpu_time_millis_testing 2939.4542340014596 usercpu_time_millis_testing 2820.2140649955254 usercpu_time_millis_testing 2941.6864629965858 usercpu_time_millis_testing 2923.0274169967743 usercpu_time_millis_training 18308.19312800304 usercpu_time_millis_training 17970.32799199951 usercpu_time_millis_training 18216.638353995222 usercpu_time_millis_training 17918.44294499606 usercpu_time_millis_training 18430.6116450025 usercpu_time_millis_training 17978.102279004816 usercpu_time_millis_training 18564.706714998465 usercpu_time_millis_training 17939.101156000106 usercpu_time_millis_training 18360.563007001474 usercpu_time_millis_training 18049.937217998377 wall_clock_time_millis 21262.248516082764 wall_clock_time_millis 20805.023908615112 wall_clock_time_millis 21095.76368331909 wall_clock_time_millis 20863.928079605103 wall_clock_time_millis 21417.255640029907 wall_clock_time_millis 20801.86939239502 wall_clock_time_millis 21508.02731513977 wall_clock_time_millis 20760.54096221924 wall_clock_time_millis 21328.577995300293 wall_clock_time_millis 21052.436590194702 wall_clock_time_millis_testing 2949.026346206665 wall_clock_time_millis_testing 2833.5843086242676 wall_clock_time_millis_testing 2810.8866214752197 wall_clock_time_millis_testing 2906.3754081726074 wall_clock_time_millis_testing 2936.882495880127 wall_clock_time_millis_testing 2822.377920150757 wall_clock_time_millis_testing 2939.4659996032715 wall_clock_time_millis_testing 2820.4312324523926 wall_clock_time_millis_testing 2941.6885375976562 wall_clock_time_millis_testing 2923.0380058288574 wall_clock_time_millis_training 18313.2221698761 wall_clock_time_millis_training 17971.439599990845 wall_clock_time_millis_training 18284.877061843872 wall_clock_time_millis_training 17957.552671432495 wall_clock_time_millis_training 18480.37314414978 wall_clock_time_millis_training 17979.491472244263 wall_clock_time_millis_training 18568.5613155365 wall_clock_time_millis_training 17940.109729766846 wall_clock_time_millis_training 18386.889457702637 wall_clock_time_millis_training 18129.398584365845