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