10415740 1 Jan van Rijn 6 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8253483 C 72.78289639377016 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.9865568612658371 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 3.839087709600762e-05 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 56712 16360 shrinking true 16360 tol 0.003904363647760561 16360 verbose false 16360 openml-python Sklearn_0.21.2. 6 letter https://www.openml.org/data/download/6/dataset_6_letter.arff -1 21753289 description https://api.openml.org/data/download/21753289/description.xml -1 21753290 predictions https://api.openml.org/data/download/21753290/predictions.arff area_under_roc_curve 0.8890987149214933 [0.935154,0.925772,0.878566,0.907192,0.898499,0.886958,0.842817,0.787881,0.901792,0.889293,0.855093,0.901271,0.949821,0.938479,0.855792,0.88872,0.848247,0.899638,0.809376,0.900796,0.922426,0.943459,0.947966,0.923956,0.826018,0.836791] average_cost 0 f_measure 0.7892137076986157 [0.884615,0.703723,0.818713,0.745819,0.770471,0.777707,0.701823,0.591684,0.87106,0.853587,0.717845,0.871174,0.874011,0.88746,0.722444,0.851701,0.760194,0.74427,0.57485,0.825417,0.875079,0.850218,0.881092,0.841776,0.731776,0.765204] kappa 0.778158537441151 kb_relative_information_score 0.7838053885390641 mean_absolute_error 0.016407692307692418 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 0.8004988256947894 [0.894942,0.588081,0.886076,0.676441,0.735782,0.772265,0.706422,0.592087,0.948518,0.941842,0.714477,0.950311,0.843713,0.893782,0.722444,0.938531,0.828313,0.685556,0.520607,0.843832,0.903141,0.809467,0.861499,0.828818,0.824561,0.879646] predictive_accuracy 0.7867000000000001 prior_entropy 4.6998107276322685 recall 0.7867 [0.874525,0.875979,0.76087,0.831056,0.808594,0.783226,0.697283,0.591281,0.805298,0.780455,0.721245,0.804205,0.906566,0.881226,0.722444,0.779577,0.702427,0.813984,0.641711,0.807789,0.848708,0.895288,0.901596,0.855146,0.657761,0.677112] relative_absolute_error 0.221839734193203 root_mean_prior_squared_error 0.19230433563020993 root_mean_squared_error 0.1280925146434889 root_relative_squared_error 0.6660927026096977 total_cost 0 area_under_roc_curve 0.8944487580878973 [0.91642,0.947258,0.909566,0.917849,0.910384,0.878437,0.832722,0.754306,0.87474,0.884876,0.865391,0.94001,0.965491,0.953567,0.888398,0.892188,0.830472,0.910056,0.814199,0.890063,0.961851,0.942072,0.958182,0.956336,0.800934,0.843556] area_under_roc_curve 0.8827511304202134 [0.920996,0.901544,0.882799,0.912718,0.88363,0.88545,0.843109,0.775633,0.907375,0.904107,0.848236,0.893957,0.934366,0.958642,0.872987,0.861719,0.811241,0.873783,0.8129,0.920927,0.917669,0.935058,0.949437,0.919626,0.794605,0.815231] area_under_roc_curve 0.8879673793028087 [0.922229,0.934531,0.890075,0.892897,0.88348,0.898903,0.826489,0.797581,0.900536,0.904627,0.890601,0.906076,0.925695,0.914858,0.855325,0.917708,0.842252,0.841927,0.826415,0.921708,0.874459,0.958959,0.936883,0.90931,0.872377,0.829004] area_under_roc_curve 0.8931596278167782 [0.947025,0.892197,0.870064,0.926823,0.921914,0.917614,0.878437,0.737494,0.868161,0.892294,0.892849,0.933171,0.966667,0.935147,0.86684,0.899219,0.856893,0.894559,0.81394,0.895871,0.935666,0.936358,0.924069,0.907748,0.814894,0.876821] area_under_roc_curve 0.8910690293363808 [0.961765,0.940245,0.843297,0.904427,0.88337,0.873262,0.857916,0.793586,0.920013,0.871775,0.819392,0.900536,0.926823,0.939446,0.848918,0.917448,0.894834,0.919575,0.803983,0.903125,0.936708,0.950309,0.964589,0.920407,0.823541,0.82721] area_under_roc_curve 0.8845725375036415 [0.90905,0.940434,0.870064,0.922396,0.890384,0.829431,0.834801,0.814653,0.918961,0.852814,0.805359,0.880799,0.946504,0.966648,0.836388,0.898958,0.843937,0.885381,0.780866,0.915104,0.941057,0.956888,0.956883,0.913557,0.811761,0.860678] area_under_roc_curve 0.8887342137987768 [0.97182,0.923036,0.819842,0.898438,0.920251,0.912504,0.885042,0.795227,0.905887,0.892035,0.818353,0.901056,0.96419,0.908956,0.802714,0.880208,0.857636,0.921135,0.808312,0.897396,0.930796,0.950829,0.937922,0.951532,0.843552,0.786114] area_under_roc_curve 0.8887219073945704 [0.934627,0.967789,0.908883,0.883333,0.911684,0.88493,0.807859,0.831088,0.932554,0.892294,0.853954,0.87422,0.970779,0.938926,0.844006,0.844637,0.837868,0.932733,0.802684,0.901823,0.936448,0.910576,0.931255,0.902981,0.835321,0.82721] area_under_roc_curve 0.8851006641476853 [0.927517,0.89698,0.895703,0.893939,0.876097,0.86493,0.830902,0.794968,0.892294,0.905628,0.859413,0.88935,0.939134,0.922557,0.882511,0.89402,0.851003,0.918615,0.827013,0.852604,0.912549,0.930053,0.956628,0.931995,0.81836,0.84039] area_under_roc_curve 0.8944595710279193 [0.939915,0.914018,0.895444,0.919152,0.903891,0.924151,0.830902,0.783531,0.897922,0.892814,0.897877,0.893697,0.958642,0.946116,0.860952,0.881674,0.856373,0.898874,0.803723,0.909635,0.877267,0.963467,0.963467,0.926626,0.844978,0.861457] 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 0.7986727431107545 [0.88,0.706468,0.841379,0.762431,0.795031,0.766234,0.702703,0.567164,0.850746,0.863636,0.718954,0.917808,0.902439,0.916129,0.771242,0.845638,0.737589,0.807692,0.569767,0.826667,0.926829,0.816568,0.913907,0.847059,0.695652,0.790698] f_measure 0.77704002269021 [0.868421,0.65641,0.814286,0.772727,0.75,0.784314,0.675,0.61194,0.885714,0.863309,0.753623,0.863309,0.878981,0.884848,0.716981,0.822695,0.710145,0.707317,0.553672,0.848101,0.866242,0.8,0.860759,0.822086,0.686131,0.723077] f_measure 0.7885680861921918 [0.875817,0.69697,0.834532,0.730337,0.771242,0.7875,0.69863,0.566038,0.871429,0.875912,0.719512,0.855172,0.824242,0.846154,0.734694,0.887417,0.734694,0.683871,0.595238,0.864516,0.813333,0.910256,0.862745,0.855263,0.830986,0.748092] f_measure 0.796995372380102 [0.893082,0.692737,0.814815,0.732984,0.797546,0.8,0.766234,0.5,0.842105,0.855072,0.783784,0.90411,0.920245,0.896104,0.717949,0.870748,0.788732,0.748466,0.592593,0.823529,0.876543,0.824242,0.85906,0.822785,0.740741,0.823529] f_measure 0.7926078983284682 [0.954248,0.693069,0.784615,0.745763,0.745342,0.75641,0.722581,0.598639,0.888889,0.817518,0.680851,0.871429,0.831325,0.873418,0.731034,0.881579,0.826667,0.755814,0.594937,0.828025,0.898734,0.867925,0.915033,0.8375,0.71831,0.755906] f_measure 0.7802465273673332 [0.849673,0.700508,0.814815,0.754098,0.7625,0.717241,0.706667,0.635135,0.887324,0.815385,0.652482,0.846715,0.881988,0.935897,0.693333,0.864865,0.733333,0.697674,0.526946,0.832298,0.86747,0.875,0.884615,0.819876,0.720588,0.785185] f_measure 0.7876732453855735 [0.909091,0.713514,0.734375,0.742857,0.754286,0.81761,0.753086,0.588235,0.877698,0.848921,0.662069,0.884058,0.87574,0.870748,0.635135,0.841379,0.77027,0.783133,0.571429,0.831169,0.897436,0.878981,0.885906,0.862275,0.760563,0.694215] f_measure 0.7878071251415251 [0.884615,0.741117,0.851064,0.688525,0.820513,0.774194,0.649007,0.666667,0.909091,0.855072,0.741259,0.838235,0.887574,0.8625,0.721088,0.794326,0.72973,0.770115,0.576687,0.802469,0.893082,0.818182,0.878378,0.847682,0.716216,0.755906] f_measure 0.7825020577939888 [0.860759,0.688889,0.846715,0.747126,0.723926,0.74026,0.670968,0.584416,0.855072,0.871429,0.724832,0.869565,0.853659,0.90411,0.778523,0.85906,0.791367,0.752941,0.579545,0.754967,0.860759,0.835443,0.869565,0.84472,0.693878,0.763359] f_measure 0.7982328511913174 [0.869565,0.751445,0.84058,0.784091,0.7875,0.825,0.670968,0.597222,0.839161,0.867647,0.736196,0.857143,0.884848,0.886076,0.723684,0.843537,0.777778,0.73494,0.591195,0.840764,0.843537,0.881988,0.881988,0.858974,0.753425,0.80303] kappa 0.7888672729192117 kappa 0.7654693382361162 kappa 0.775877678092745 kappa 0.7862696725505777 kappa 0.782103919269242 kappa 0.7691089033738961 kappa 0.7774253100704647 kappa 0.777430344928363 kappa 0.7701572005147023 kappa 0.7888756719512751 kb_relative_information_score 0.7942061898259557 kb_relative_information_score 0.7714857988953787 kb_relative_information_score 0.7816807296458447 kb_relative_information_score 0.7916394429575394 kb_relative_information_score 0.7875246011176776 kb_relative_information_score 0.7749212517067415 kb_relative_information_score 0.7829024287069731 kb_relative_information_score 0.7832035544765117 kb_relative_information_score 0.7761589491439079 kb_relative_information_score 0.7943310933119383 mean_absolute_error 0.01561538461538457 mean_absolute_error 0.017346153846153855 mean_absolute_error 0.01657692307692305 mean_absolute_error 0.01580769230769226 mean_absolute_error 0.01611538461538457 mean_absolute_error 0.017076923076923073 mean_absolute_error 0.01646153846153843 mean_absolute_error 0.01646153846153843 mean_absolute_error 0.016999999999999994 mean_absolute_error 0.01561538461538457 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 0.8127780440346738 [0.929577,0.572581,0.859155,0.69,0.761905,0.766234,0.732394,0.622951,0.982759,0.982759,0.696203,0.957143,0.870588,0.922078,0.75641,0.913043,0.825397,0.7875,0.505155,0.873239,0.926829,0.75,0.907895,0.782609,0.813559,0.927273] precision 0.791674692148053 [0.891892,0.542373,0.863636,0.715789,0.722892,0.789474,0.650602,0.672131,0.96875,0.923077,0.8125,0.952381,0.884615,0.848837,0.678571,0.95082,0.816667,0.659091,0.480392,0.848101,0.894737,0.731183,0.819277,0.797619,0.810345,0.839286] precision 0.8019521100341073 [0.905405,0.570248,0.892308,0.670103,0.766234,0.768293,0.73913,0.523256,0.953125,0.952381,0.655556,0.898551,0.790698,0.857143,0.75,0.943662,0.782609,0.670886,0.531915,0.881579,0.884058,0.898734,0.846154,0.890411,0.936508,0.859649] precision 0.8096037431408116 [0.8875,0.607843,0.901639,0.630631,0.747126,0.758621,0.766234,0.507042,0.982456,0.936508,0.773333,0.942857,0.903614,0.92,0.691358,0.955224,0.875,0.701149,0.545455,0.851351,0.876543,0.772727,0.864865,0.822785,0.892857,0.903226] precision 0.8045878028281552 [0.986486,0.56,0.910714,0.680412,0.714286,0.75641,0.717949,0.594595,0.941176,0.903226,0.716418,0.953125,0.802326,0.8625,0.757143,0.930556,0.861111,0.677083,0.566265,0.844156,0.922078,0.831325,0.897436,0.82716,0.796875,0.888889] precision 0.7938796741695908 [0.878378,0.570248,0.901639,0.669903,0.73494,0.776119,0.736111,0.626667,0.940299,0.963636,0.686567,0.95082,0.865854,0.935897,0.702703,0.941176,0.774648,0.625,0.478261,0.82716,0.847059,0.833333,0.851852,0.804878,0.844828,0.854839] precision 0.8011503743997889 [0.872093,0.605505,0.854545,0.684211,0.673469,0.802469,0.72619,0.56962,0.953125,0.921875,0.676056,0.983871,0.822222,0.927536,0.652778,0.938462,0.826087,0.722222,0.516129,0.864865,0.933333,0.851852,0.891892,0.818182,0.84375,0.875] precision 0.8003645254489865 [0.896104,0.603306,0.882353,0.61165,0.810127,0.769231,0.671233,0.657895,0.955882,0.936508,0.768116,0.95,0.833333,0.841463,0.746479,0.933333,0.782609,0.683673,0.534091,0.792683,0.910256,0.807692,0.890411,0.888889,0.757143,0.888889] precision 0.795223910232343 [0.860759,0.596154,0.90625,0.698925,0.686047,0.74026,0.666667,0.5625,0.936508,0.938462,0.72,0.983607,0.823529,0.970588,0.783784,0.941176,0.901639,0.673684,0.50495,0.802817,0.894737,0.804878,0.823529,0.819277,0.75,0.862069] precision 0.8072172970324712 [0.853659,0.677083,0.892308,0.726316,0.759036,0.795181,0.666667,0.614286,0.882353,0.967213,0.674157,0.9375,0.848837,0.875,0.714286,0.939394,0.848485,0.67033,0.559524,0.857143,0.953846,0.835294,0.835294,0.858974,0.820896,0.898305] predictive_accuracy 0.797 predictive_accuracy 0.7745000000000001 predictive_accuracy 0.7845 predictive_accuracy 0.7945 predictive_accuracy 0.7905 predictive_accuracy 0.778 predictive_accuracy 0.7859999999999999 predictive_accuracy 0.7859999999999999 predictive_accuracy 0.779 predictive_accuracy 0.797 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 0.797 [0.835443,0.922078,0.824324,0.851852,0.831169,0.766234,0.675325,0.520548,0.75,0.77027,0.743243,0.881579,0.936709,0.910256,0.786667,0.7875,0.666667,0.828947,0.653333,0.78481,0.926829,0.896104,0.92,0.923077,0.607595,0.689189] recall 0.7745 [0.846154,0.831169,0.77027,0.839506,0.779221,0.779221,0.701299,0.561644,0.815789,0.810811,0.702703,0.789474,0.873418,0.924051,0.76,0.725,0.628205,0.763158,0.653333,0.848101,0.839506,0.883117,0.906667,0.848101,0.594937,0.635135] recall 0.7845 [0.848101,0.896104,0.783784,0.802469,0.776316,0.807692,0.662338,0.616438,0.802632,0.810811,0.797297,0.815789,0.860759,0.835443,0.72,0.8375,0.692308,0.697368,0.675676,0.848101,0.753086,0.922078,0.88,0.822785,0.746835,0.662162] recall 0.7945 [0.898734,0.805195,0.743243,0.875,0.855263,0.846154,0.766234,0.493151,0.736842,0.786667,0.794521,0.868421,0.9375,0.873418,0.746667,0.8,0.717949,0.802632,0.648649,0.797468,0.876543,0.883117,0.853333,0.822785,0.632911,0.756757] recall 0.7905 [0.924051,0.909091,0.689189,0.825,0.779221,0.75641,0.727273,0.60274,0.842105,0.746667,0.648649,0.802632,0.8625,0.884615,0.706667,0.8375,0.794872,0.855263,0.626667,0.8125,0.876543,0.907895,0.933333,0.848101,0.653846,0.657534] recall 0.778 [0.822785,0.907895,0.743243,0.8625,0.792208,0.666667,0.679487,0.643836,0.84,0.706667,0.621622,0.763158,0.898734,0.935897,0.684211,0.8,0.696203,0.789474,0.586667,0.8375,0.888889,0.921053,0.92,0.835443,0.628205,0.726027] recall 0.786 [0.949367,0.868421,0.643836,0.8125,0.857143,0.833333,0.782051,0.608108,0.813333,0.786667,0.648649,0.802632,0.936709,0.820513,0.618421,0.7625,0.721519,0.855263,0.64,0.8,0.864198,0.907895,0.88,0.911392,0.692308,0.575342] recall 0.786 [0.873418,0.960526,0.821918,0.7875,0.831169,0.779221,0.628205,0.675676,0.866667,0.786667,0.716216,0.75,0.949367,0.884615,0.697368,0.691358,0.683544,0.881579,0.626667,0.8125,0.876543,0.828947,0.866667,0.810127,0.679487,0.657534] recall 0.779 [0.860759,0.815789,0.794521,0.802469,0.766234,0.74026,0.675325,0.608108,0.786667,0.813333,0.72973,0.779221,0.886076,0.846154,0.773333,0.790123,0.705128,0.853333,0.68,0.7125,0.829268,0.868421,0.921053,0.871795,0.64557,0.684932] recall 0.797 [0.886076,0.844156,0.794521,0.851852,0.818182,0.857143,0.675325,0.581081,0.8,0.786667,0.810811,0.789474,0.924051,0.897436,0.733333,0.765432,0.717949,0.813333,0.626667,0.825,0.756098,0.934211,0.934211,0.858974,0.696203,0.726027] relative_absolute_error 0.2111272773862494 relative_absolute_error 0.2345278891125155 relative_absolute_error 0.2241278186204979 relative_absolute_error 0.21372742805802075 relative_absolute_error 0.21788748211643355 relative_absolute_error 0.23088790456143893 relative_absolute_error 0.22256760815349239 relative_absolute_error 0.22256776997799602 relative_absolute_error 0.2298484001521578 relative_absolute_error 0.21112774338884258 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 0.12496153254255715 root_mean_squared_error 0.13170479811363692 root_mean_squared_error 0.12875140029111548 root_mean_squared_error 0.12572864553351498 root_mean_squared_error 0.1269463848062818 root_mean_squared_error 0.13067870169588874 root_mean_squared_error 0.12830252710503573 root_mean_squared_error 0.12830252710503573 root_mean_squared_error 0.13038404810405296 root_mean_squared_error 0.12496153254255715 root_relative_squared_error 0.649811055016863 root_relative_squared_error 0.6848760651100153 root_relative_squared_error 0.6695189816902645 root_relative_squared_error 0.6538002973737652 root_relative_squared_error 0.6601323771630401 root_relative_squared_error 0.6795406829937456 root_relative_squared_error 0.6671843325601675 root_relative_squared_error 0.6671848176565615 root_relative_squared_error 0.6780100254672854 root_relative_squared_error 0.6498124892884967 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 15408.15385599899 usercpu_time_millis 15371.561474000373 usercpu_time_millis 15293.22316300022 usercpu_time_millis 15398.598648000188 usercpu_time_millis 15295.657192998988 usercpu_time_millis 15377.932006000265 usercpu_time_millis 15298.092568999891 usercpu_time_millis 15391.939575999459 usercpu_time_millis 15280.595390000599 usercpu_time_millis 15397.170222000568 usercpu_time_millis_testing 2852.7080549993116 usercpu_time_millis_testing 2827.139953999904 usercpu_time_millis_testing 2832.1719430005032 usercpu_time_millis_testing 2834.629885999675 usercpu_time_millis_testing 2840.5895839996447 usercpu_time_millis_testing 2841.9424160001654 usercpu_time_millis_testing 2832.080741000027 usercpu_time_millis_testing 2838.7315499994656 usercpu_time_millis_testing 2846.5758689999348 usercpu_time_millis_testing 2847.406566000245 usercpu_time_millis_training 12555.445800999678 usercpu_time_millis_training 12544.42152000047 usercpu_time_millis_training 12461.051219999717 usercpu_time_millis_training 12563.968762000513 usercpu_time_millis_training 12455.067608999343 usercpu_time_millis_training 12535.9895900001 usercpu_time_millis_training 12466.011827999864 usercpu_time_millis_training 12553.208025999993 usercpu_time_millis_training 12434.019521000664 usercpu_time_millis_training 12549.763656000323 wall_clock_time_millis 15412.84728050232 wall_clock_time_millis 15371.006488800049 wall_clock_time_millis 15292.670726776123 wall_clock_time_millis 15398.046255111694 wall_clock_time_millis 15295.107126235962 wall_clock_time_millis 15377.403736114502 wall_clock_time_millis 15297.542095184326 wall_clock_time_millis 15391.385316848755 wall_clock_time_millis 15280.039072036743 wall_clock_time_millis 15396.629810333252 wall_clock_time_millis_testing 2852.6225090026855 wall_clock_time_millis_testing 2827.0339965820312 wall_clock_time_millis_testing 2832.0653438568115 wall_clock_time_millis_testing 2834.5327377319336 wall_clock_time_millis_testing 2840.489149093628 wall_clock_time_millis_testing 2841.8562412261963 wall_clock_time_millis_testing 2831.9802284240723 wall_clock_time_millis_testing 2838.6311531066895 wall_clock_time_millis_testing 2846.468448638916 wall_clock_time_millis_testing 2847.3076820373535 wall_clock_time_millis_training 12560.224771499634 wall_clock_time_millis_training 12543.972492218018 wall_clock_time_millis_training 12460.605382919312 wall_clock_time_millis_training 12563.51351737976 wall_clock_time_millis_training 12454.617977142334 wall_clock_time_millis_training 12535.547494888306 wall_clock_time_millis_training 12465.561866760254 wall_clock_time_millis_training 12552.754163742065 wall_clock_time_millis_training 12433.570623397827 wall_clock_time_millis_training 12549.322128295898