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