8958749 1935 Hilde Weerts 9954 Supervised Classification 8317 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1) 6894353 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 copy true 7646 with_mean false 7646 with_std true 7646 C 1.2136730352049339 7650 cache_size 200 7650 class_weight null 7650 coef0 0.2639689905186281 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.0008220090109015657 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.00011373024169029215 7650 verbose false 7650 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 memory null 8317 openml-python Sklearn_0.19.1. study_98 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 18832760 description https://api.openml.org/data/download/18832760/description.xml -1 18832761 predictions https://api.openml.org/data/download/18832761/predictions.arff area_under_roc_curve 0.6546717171717172 [0.553662,0.620265,0.905303,1,0.623106,0.684659,0.654987,0.77904,0.684975,0.90625,0.623422,0.621843,0.619318,0.561553,0.96875,0.592172,0.625,0.585543,0.612058,0.557765,0.560606,0.6875,0.589015,1,0.561553,0.528725,0.525253,0.62279,0.59154,0.589331,0.623106,0.998737,0.622159,0.619634,0.617109,0.651831,0.620896,0.585859,0.809659,0.749053,0.588384,0.620896,0.717172,0.621843,0.6875,0.622159,0.841225,0.621528,0.618056,0.585859,0.558396,0.590593,0.619949,0.622475,0.621212,0.525568,1,0.622159,0.617109,0.620581,0.619634,0.591225,0.618056,0.590909,0.620265,0.588068,0.585227,0.999369,0.592172,0.589646,0.623422,0.591856,0.619949,0.71875,0.558081,0.623106,0.71654,0.589015,0.842487,0.717487,0.529672,0.591856,0.620581,0.62279,0.621528,0.620896,0.9375,0.555871,0.592487,0.588699,0.589331,0.967487,0.62279,0.616793,0.619318,0.623737,0.613952,0.623106,0.497475,0.559343] average_cost 0 f_measure 0.32660139226398044 [0.086957,0.228571,0.8125,1,0.307692,0.387097,0.4,0.5625,0.4,0.896552,0.32,0.266667,0.210526,0.190476,0.967742,0.25,0.4,0.133333,0.131148,0.121212,0.166667,0.545455,0.176471,1,0.190476,0.08,0.055556,0.296296,0.230769,0.181818,0.307692,0.888889,0.275862,0.216216,0.177778,0.285714,0.242424,0.136364,0.571429,0.592593,0.166667,0.242424,0.5,0.266667,0.545455,0.275862,0.628571,0.258065,0.190476,0.136364,0.129032,0.206897,0.222222,0.285714,0.25,0.057143,1,0.275862,0.177778,0.235294,0.216216,0.222222,0.190476,0.214286,0.228571,0.162162,0.130435,0.941176,0.25,0.1875,0.32,0.24,0.222222,0.608696,0.125,0.307692,0.466667,0.176471,0.709677,0.518519,0.090909,0.24,0.235294,0.296296,0.258065,0.242424,0.933333,0.102564,0.26087,0.171429,0.181818,0.857143,0.296296,0.173913,0.210526,0.333333,0.145455,0.307692,0,0.142857] kappa 0.3093434343434343 kb_relative_information_score 503.61245144486406 mean_absolute_error 0.013674999999999764 mean_prior_absolute_error 0.019800000000000036 number_of_instances 1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] precision 0.3686916723846862 [0.066667,0.210526,0.8125,1,0.4,0.4,0.555556,0.5625,0.428571,1,0.444444,0.285714,0.181818,0.4,1,0.375,1,0.103448,0.088889,0.117647,0.25,1,0.166667,1,0.4,0.111111,0.05,0.363636,0.3,0.176471,0.4,0.8,0.307692,0.190476,0.137931,0.263158,0.235294,0.107143,0.526316,0.727273,0.15,0.235294,0.583333,0.285714,1,0.307692,0.578947,0.266667,0.153846,0.107143,0.133333,0.230769,0.2,0.333333,0.25,0.052632,1,0.307692,0.137931,0.222222,0.190476,0.272727,0.153846,0.25,0.210526,0.142857,0.1,0.888889,0.375,0.1875,0.444444,0.333333,0.2,1,0.125,0.4,0.5,0.166667,0.733333,0.636364,0.166667,0.333333,0.222222,0.363636,0.266667,0.235294,1,0.086957,0.428571,0.157895,0.176471,0.789474,0.363636,0.133333,0.181818,0.5,0.102564,0.4,0,0.166667] predictive_accuracy 0.31625 prior_entropy 6.6438561897747395 recall 0.31625 [0.125,0.25,0.8125,1,0.25,0.375,0.3125,0.5625,0.375,0.8125,0.25,0.25,0.25,0.125,0.9375,0.1875,0.25,0.1875,0.25,0.125,0.125,0.375,0.1875,1,0.125,0.0625,0.0625,0.25,0.1875,0.1875,0.25,1,0.25,0.25,0.25,0.3125,0.25,0.1875,0.625,0.5,0.1875,0.25,0.4375,0.25,0.375,0.25,0.6875,0.25,0.25,0.1875,0.125,0.1875,0.25,0.25,0.25,0.0625,1,0.25,0.25,0.25,0.25,0.1875,0.25,0.1875,0.25,0.1875,0.1875,1,0.1875,0.1875,0.25,0.1875,0.25,0.4375,0.125,0.25,0.4375,0.1875,0.6875,0.4375,0.0625,0.1875,0.25,0.25,0.25,0.25,0.875,0.125,0.1875,0.1875,0.1875,0.9375,0.25,0.25,0.25,0.25,0.25,0.25,0,0.125] relative_absolute_error 0.6906565656565524 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.11694015563526398 root_relative_squared_error 1.1752927853573787 total_cost 0 area_under_roc_curve 0.6352201257861633 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[0.974843,0.5,0.75,1,0.5,0.993711,0.5,0.996855,0.5,1,0.5,0.5,0.5,0.5,1,0.996855,0.5,0.5,0.5,0.981132,0.996855,0.5,0.987421,1,0.996855,0.5,0.5,0.5,0.5,0.987421,0.5,0.996835,0.5,0.5,0.5,0.990566,0.996855,0.984277,0.996855,0.5,0.984277,0.990566,0.75,0.5,0.75,0.5,0.996855,0.990566,0.5,0.5,0.5,0.5,0.974843,0.5,0.996855,0.481132,1,0.981132,0.984277,0.5,0.987421,0.990566,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.987421,0.5,1,0.5,0.75,0.493711,0.5,0.5,0.5,1,0.75,0.5,0.5,0.990566,1,0.5,0.5,1,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.984277,0.5,0.5,0.487421] area_under_roc_curve 0.660337552742616 [0.5,0.5,1,1,0.5,1,0.996855,0.5,0.996835,1,0.5,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.993711,0.5,0.996855,0.5,0.5,1,1,0.5,0.5,0.993711,0.5,0.5,1,1,0.5,0.5,0.981132,0.993711,0.974843,0.981132,0.990566,0.5,0.5,0.993711,0.996855,0.984277,0.75,0.987421,0.5,0.990566,0.5,0.5,0.5,0.996855,0.996855,0.5,0.987421,0.5,1,0.5,0.971698,0.5,0.987421,0.496855,0.5,0.487421,0.5,0.5,0.5,1,0.993711,0.5,0.5,0.746835,0.968553,0.75,0.987421,0.5,0.5,0.5,0.75,0.5,0.496855,0.5,0.5,0.5,0.990566,0.987421,1,0.5,0.5,0.490566,0.5,0.996855,0.996855,0.5,0.5,1,0.5,0.5,0.496855,0.5] area_under_roc_curve 0.6477589363904147 [0.5,0.5,0.75,1,0.5,0.5,1,0.5,0.746835,0.75,0.5,0.5,0.977987,0.5,1,0.5,0.5,0.5,0.987421,0.5,0.490566,1,0.5,1,0.496855,0.5,0.5,0.990566,0.5,0.5,0.996855,0.996835,0.5,0.5,0.987421,0.984277,0.990566,0.468553,0.990566,0.5,0.5,0.987421,0.990566,0.993711,0.75,0.993711,0.5,0.993711,0.5,0.5,0.5,0.993711,0.990566,0.5,0.987421,0.5,1,0.5,0.971698,0.5,0.977987,1,0.5,0.996855,0.5,0.5,0.5,1,0.996855,0.5,0.5,0.5,0.990566,0.5,0.987421,0.5,0.5,0.5,1,0.75,0.496855,0.5,0.5,0.5,0.984277,0.990566,1,0.5,0.5,0.984277,0.5,1,0.993711,0.5,0.5,0.996855,0.5,0.5,0.493711,0.5] area_under_roc_curve 0.6665671522967911 [0.5,0.990566,0.996835,1,0.993711,0.5,0.996855,0.996835,0.496855,0.75,0.5,0.5,0.993711,0.496855,0.5,0.5,0.5,0.5,0.943396,0.5,0.5,1,0.5,1,0.5,0.5,0.5,0.996855,0.996855,0.5,0.993711,1,0.5,0.5,0.977987,0.75,0.5,0.5,0.75,0.996835,0.5,0.5,1,0.996855,1,0.996855,1,0.5,0.5,0.5,0.496855,0.490566,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.993711,0.5,0.5,0.974843,0.996855,0.5,0.5,0.468553,1,0.5,0.5,0.5,0.5,0.990566,1,0.5,1,0.746835,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.993711,0.990566,1,0.981132,0.5,0.5,0.987421,0.746835,0.990566,0.993711,0.5,0.993711,0.5,0.990566,0.496855,0.5] area_under_roc_curve 0.6792253801448929 [0.5,0.993711,1,1,0.993711,0.5,0.993711,1,1,0.75,0.5,0.5,0.990566,0.996855,1,0.5,0.5,0.5,0.946541,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.996855,1,0.5,0.990566,1,0.5,0.5,0.974843,0.5,0.5,0.5,0.5,1,0.5,0.5,0.996855,0.993711,1,0.993711,1,0.5,0.5,0.5,1,0.987421,0.5,0.990566,0.496835,0.5,1,0.5,0.5,0.996855,0.5,0.5,0.977987,0.990566,0.5,0.5,0.971698,1,0.5,0.5,0.5,0.5,1,1,0.5,0.996855,1,0.5,0.5,0.993711,0.496855,0.5,0.5,0.75,0.996855,0.990566,1,0.990566,0.5,0.5,0.981132,1,0.996855,0.987421,0.5,0.996855,0.5,0.990566,0.487421,0.5] area_under_roc_curve 0.6572327044025157 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[0.5,0.981132,1,1,0.996855,0.5,0.5,0.75,0.993711,1,1,0.993711,0.5,0.5,1,0.5,1,0.977987,0.5,0.5,0.5,0.75,0.5,1,0.5,0.990566,0.484277,0.5,0.487421,0.5,0.5,1,0.993711,0.987421,0.5,0.5,0.5,0.5,1,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.996835,0.5,0.990566,0.481132,0.977987,0.5,0.5,0.996855,0.5,0.5,1,0.5,0.5,0.987421,0.5,0.5,0.990566,0.5,0.5,0.471698,0.984277,1,0.5,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.993711,0.481132,1,1,0.5,0.993711,0.5,0.5,0.5,0.5,1,0.477987,1,0.5,0.496855,0.996835,0.5,0.974843,0.987421,0.5,0.5,1,0.5,0.5] area_under_roc_curve 0.6603375527426156 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[0.996855,0.5,0.993711,1,0.5,0.996855,0.5,0.990566,0.5,1,0.993711,0.996855,0.5,0.5,1,0.990566,1,0.477987,0.5,0.496855,0.5,0.5,0.993711,1,0.5,0.496855,0.490566,0.5,0.5,0.990566,0.5,0.996835,0.996855,0.990566,0.5,0.5,0.5,0.5,0.5,1,0.984277,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.981132,0.977987,0.5,0.5,0.5,0.5,0.5,0.984277,1,1,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.993711,0.5,0.996855,0.5,0.987421,0.993711,0.496855,0.5,0.75,0.5,0.5,0.993711,0.993711,0.993711,0.5,0.5,0.493711,0.984277,0.490566,0.5,0.5,0.75,0.5,0.996855,0.5,0.5,0.996835,0.5,0.5,0.987421,0.5,0.962264,0.5,0.5,0.990566] 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 kappa 0.27006725134699333 kappa 0.3077407174323474 kappa 0.32022029897718335 kappa 0.2951819075712881 kappa 0.33265129456205245 kappa 0.35796058066800424 kappa 0.314007001534044 kappa 0.30757730741993866 kappa 0.3201668109213943 kappa 0.28886091881686593 kb_relative_information_score 43.74684128665788 kb_relative_information_score 49.75993570286525 kb_relative_information_score 51.76430050826775 kb_relative_information_score 47.755570897462825 kb_relative_information_score 53.76866531367023 kb_relative_information_score 57.77739492447514 kb_relative_information_score 50.76211810556649 kb_relative_information_score 49.75993570286524 kb_relative_information_score 51.76430050826776 kb_relative_information_score 46.753388494761595 mean_absolute_error 0.01450000000000001 mean_absolute_error 0.013750000000000009 mean_absolute_error 0.013500000000000009 mean_absolute_error 0.014000000000000009 mean_absolute_error 0.013250000000000008 mean_absolute_error 0.012750000000000008 mean_absolute_error 0.013625000000000009 mean_absolute_error 0.013750000000000009 mean_absolute_error 0.013500000000000009 mean_absolute_error 0.014125000000000009 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] predictive_accuracy 0.275 predictive_accuracy 0.3125 predictive_accuracy 0.325 predictive_accuracy 0.3 predictive_accuracy 0.3375 predictive_accuracy 0.3625 predictive_accuracy 0.31875 predictive_accuracy 0.3125 predictive_accuracy 0.325 predictive_accuracy 0.29375 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 recall 0.275 [0,0,0.5,1,0,1,0,1,0,1,0,0,0,0,1,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,1,1,1,1,0,1,1,1,0,0,0,1,1,0,0,0,0,1,0,1,0,1,1,1,0,1,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,0,1,0.5,0,0,1,1,0,0,0.5,0,0,1,0,1,0,0,0,0,1,0,0,1] recall 0.3125 [1,0,0.5,1,0,1,0,1,0,1,0,0,0,0,1,1,0,0,0,1,1,0,1,1,1,0,0,0,0,1,0,1,0,0,0,1,1,1,1,0,1,1,0.5,0,0.5,0,1,1,0,0,0,0,1,0,1,0,1,1,1,0,1,1,0,0,1,0,0,1,0,1,0,1,0,0.5,0,0,0,0,1,0.5,0,0,1,1,0,0,1,0,0,1,0,1,0,0,0,0,1,0,0,0] recall 0.325 [0,0,1,1,0,1,1,0,1,1,0,0,1,0,1,0,0,0,1,0,1,0,0,1,1,0,0,1,0,0,1,1,0,0,1,1,1,1,1,0,0,1,1,1,0.5,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,0,0,0,0,0,0,1,1,0,0,0.5,1,0.5,1,0,0,0,0.5,0,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,0,0,0,0] recall 0.3 [0,0,0.5,1,0,0,1,0,0.5,0.5,0,0,1,0,1,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,1,1,0,0,1,1,1,0,1,0,0,1,1,1,0.5,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,1,0,0,0,1,0,1,0,0,0,1,0.5,0,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0] recall 0.3375 [0,1,1,1,1,0,1,1,0,0.5,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,1,0,1,1,0,0,1,0.5,0,0,0.5,1,0,0,1,1,1,1,1,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,1,1,0,0,0,1,0,0,0,0,1,1,0,1,0.5,0,0,1,1,0,0,0,1,1,1,1,0,0,1,0.5,1,1,0,1,0,1,0,0] recall 0.3625 [0,1,1,1,1,0,1,1,1,0.5,0,0,1,1,1,0,0,0,1,0,0,0,0,1,0,0,0,1,1,0,1,1,0,0,1,0,0,0,0,1,0,0,1,1,1,1,1,0,0,0,1,1,0,1,0,0,1,0,0,1,0,0,1,1,0,0,1,1,0,0,0,0,1,1,0,1,1,0,0,1,0,0,0,0.5,1,1,1,1,0,0,1,1,1,1,0,1,0,1,0,0] recall 0.31875 [0,1,1,1,1,0,0,0,1,1,1,1,0,1,1,0,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,1,1,1,0,0,0,0,1,1,0,0,0,0,0,0,0.5,0,1,1,0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,1,1,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,1,0,0,0,1,1,0,1,1,0,0,1,0,0] recall 0.3125 [0,1,1,1,1,0,0,0.5,1,1,1,1,0,0,1,0,1,1,0,0,0,0.5,0,1,0,1,0,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,0,0,0,0,1,0,1,0,1,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,1,1,0,0,1,0,0,0,0,1,1,0,1,1,0,1,0,0,0,0,1,0,1,0,0,1,0,1,1,0,0,1,0,0] recall 0.325 [0,0,1,1,0,1,0.5,1,0,1,1,1,0,0,1,1,1,1,0,0,0,1,0,1,0,0,1,0,0,1,0,1,1,1,0,0,0,0,0.5,1,0,0,0,0,0.5,0,1,0,1,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0.5,0,0,1,1,1,0,0,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,1,0,0,0] recall 0.29375 [1,0,1,1,0,1,0,1,0,1,1,1,0,0,1,1,1,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,1,1,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0.5,0,0,1,1,1,0,0,0,1,0,0,0,0.5,0,1,0,0,1,0,0,1,0,1,0,0,1] relative_absolute_error 0.7323232323232315 relative_absolute_error 0.6944444444444438 relative_absolute_error 0.681818181818181 relative_absolute_error 0.7070707070707063 relative_absolute_error 0.6691919191919184 relative_absolute_error 0.6439393939393934 relative_absolute_error 0.6881313131313125 relative_absolute_error 0.6944444444444438 relative_absolute_error 0.681818181818181 relative_absolute_error 0.7133838383838377 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_squared_error 0.12041594578792299 root_mean_squared_error 0.11726039399558577 root_mean_squared_error 0.11618950038622254 root_mean_squared_error 0.11832159566199237 root_mean_squared_error 0.11510864433221342 root_mean_squared_error 0.11291589790636218 root_mean_squared_error 0.11672617529928755 root_mean_squared_error 0.11726039399558577 root_mean_squared_error 0.11618950038622254 root_mean_squared_error 0.11884864324004717 root_relative_squared_error 1.2102257907706577 root_relative_squared_error 1.1785113019775786 root_relative_squared_error 1.167748416242284 root_relative_squared_error 1.189176780021126 root_relative_squared_error 1.156885404170974 root_relative_squared_error 1.1348474733984242 root_relative_squared_error 1.1731422020635969 root_relative_squared_error 1.1785113019775786 root_relative_squared_error 1.167748416242284 root_relative_squared_error 1.1944738074849846 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 597.5887040001453 usercpu_time_millis 593.9489520001189 usercpu_time_millis 594.9822049999511 usercpu_time_millis 601.1737960000119 usercpu_time_millis 607.7681399999619 usercpu_time_millis 608.1638260000091 usercpu_time_millis 602.5770279998142 usercpu_time_millis 619.2365790002441 usercpu_time_millis 607.8662599998097 usercpu_time_millis 607.7176520000194 usercpu_time_millis_testing 53.7093420000474 usercpu_time_millis_testing 53.61752600015279 usercpu_time_millis_testing 53.4915609998734 usercpu_time_millis_testing 55.00770300000113 usercpu_time_millis_testing 54.20897099998001 usercpu_time_millis_testing 55.079527000089 usercpu_time_millis_testing 53.162237999913486 usercpu_time_millis_testing 53.91060000010839 usercpu_time_millis_testing 55.526181000004726 usercpu_time_millis_testing 56.92479000003914 usercpu_time_millis_training 543.8793620000979 usercpu_time_millis_training 540.3314259999661 usercpu_time_millis_training 541.4906440000777 usercpu_time_millis_training 546.1660930000107 usercpu_time_millis_training 553.5591689999819 usercpu_time_millis_training 553.0842989999201 usercpu_time_millis_training 549.4147899999007 usercpu_time_millis_training 565.3259790001357 usercpu_time_millis_training 552.340078999805 usercpu_time_millis_training 550.7928619999802