6017882 1 Jan van Rijn 9954 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4052570 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.723447321274178 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 9 6902 min_samples_split 16 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 59269 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 12958889 description https://api.openml.org/data/download/12958889/description.xml -1 12958890 predictions https://api.openml.org/data/download/12958890/predictions.arff area_under_roc_curve 0.9903736584595961 [0.98185,0.998777,0.999882,0.999842,0.997238,0.989228,0.998185,0.994437,0.99566,0.999527,0.997988,0.997238,0.997041,0.977825,0.997514,0.993766,0.999882,0.97526,0.979167,0.96366,0.999132,0.998303,0.984099,1,0.996212,0.965002,0.983389,0.98694,0.99779,0.999092,0.999803,0.999921,0.993805,0.981179,0.995068,0.998461,0.977312,0.981455,0.99854,0.999487,0.991319,0.997317,0.999132,0.996646,0.995975,0.992582,0.998343,0.995107,0.978101,0.98836,0.986072,0.983941,0.993095,0.961648,0.992266,0.959517,1,0.99854,0.993529,0.979127,0.999724,0.996133,0.993411,0.995305,0.997277,0.993174,0.971907,0.999803,0.959399,0.960385,0.986111,0.997554,0.989781,0.997435,0.961924,0.991004,0.998619,0.968119,0.999527,0.998935,0.991556,0.99057,0.991556,0.992069,0.986111,0.990215,0.999369,0.98398,0.996686,0.999527,0.998856,0.999171,0.992069,0.983704,0.996054,0.99708,0.993805,0.989149,0.966659,0.994081] average_cost 0 f_measure 0.6354893258798994 [0.516129,0.742857,0.9375,0.9375,0.787879,0.5,0.8,0.787879,0.628571,0.909091,0.8,0.774194,0.722222,0.482759,0.764706,0.733333,0.888889,0.451613,0.529412,0.25,0.857143,0.774194,0.540541,1,0.628571,0.095238,0.411765,0.564103,0.785714,0.857143,0.774194,0.909091,0.810811,0.375,0.777778,0.8,0.484848,0.378378,0.848485,0.8,0.580645,0.684211,0.8,0.727273,0.705882,0.62069,0.8,0.615385,0.692308,0.75,0.540541,0.4,0.578947,0.24,0.466667,0.1875,0.969697,0.769231,0.594595,0.428571,0.857143,0.588235,0.529412,0.666667,0.722222,0.555556,0.294118,0.888889,0.347826,0.434783,0.384615,0.742857,0.411765,0.742857,0.384615,0.727273,0.727273,0.1,0.903226,0.9375,0.666667,0.466667,0.606061,0.461538,0.631579,0.823529,0.827586,0.444444,0.5,0.848485,0.789474,0.756757,0.56,0.384615,0.62069,0.742857,0.645161,0.466667,0.1,0.689655] kappa 0.6458333333333334 kb_relative_information_score 1126.4957356699204 mean_absolute_error 0.01313458914579102 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 0.641716797261756 [0.533333,0.684211,0.9375,0.9375,0.764706,0.583333,0.736842,0.764706,0.578947,0.882353,0.736842,0.8,0.65,0.538462,0.722222,0.785714,0.8,0.466667,0.5,0.375,0.789474,0.8,0.47619,1,0.578947,0.2,0.388889,0.478261,0.916667,0.789474,0.8,0.882353,0.714286,0.375,0.7,0.736842,0.470588,0.333333,0.823529,0.736842,0.6,0.590909,0.857143,0.705882,0.666667,0.692308,0.857143,0.8,0.9,0.75,0.47619,0.428571,0.5,0.333333,0.5,0.1875,0.941176,0.652174,0.52381,0.5,0.789474,0.555556,0.5,0.647059,0.65,0.5,0.277778,0.8,0.571429,0.714286,0.5,0.684211,0.388889,0.684211,0.5,0.705882,0.705882,0.25,0.933333,0.9375,0.714286,0.5,0.588235,0.6,0.545455,0.777778,0.923077,0.4,0.583333,0.823529,0.681818,0.666667,0.777778,0.5,0.692308,0.684211,0.666667,0.5,0.25,0.769231] predictive_accuracy 0.649375 prior_entropy 6.6438561897747395 recall 0.649375 [0.5,0.8125,0.9375,0.9375,0.8125,0.4375,0.875,0.8125,0.6875,0.9375,0.875,0.75,0.8125,0.4375,0.8125,0.6875,1,0.4375,0.5625,0.1875,0.9375,0.75,0.625,1,0.6875,0.0625,0.4375,0.6875,0.6875,0.9375,0.75,0.9375,0.9375,0.375,0.875,0.875,0.5,0.4375,0.875,0.875,0.5625,0.8125,0.75,0.75,0.75,0.5625,0.75,0.5,0.5625,0.75,0.625,0.375,0.6875,0.1875,0.4375,0.1875,1,0.9375,0.6875,0.375,0.9375,0.625,0.5625,0.6875,0.8125,0.625,0.3125,1,0.25,0.3125,0.3125,0.8125,0.4375,0.8125,0.3125,0.75,0.75,0.0625,0.875,0.9375,0.625,0.4375,0.625,0.375,0.75,0.875,0.75,0.5,0.4375,0.875,0.9375,0.875,0.4375,0.3125,0.5625,0.8125,0.625,0.4375,0.0625,0.625] relative_absolute_error 0.6633630881712623 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.07439762155612852 root_relative_squared_error 0.7477242302925299 total_cost 0 area_under_roc_curve 0.9911439674388983 [1,1,1,1,0.993671,1,1,1,0.993671,1,0.996835,0.987342,0.993671,0.974684,1,1,1,0.962025,0.962025,0.981132,1,1,1,1,1,0.981013,0.990506,0.996835,1,1,0.996835,1,1,0.987342,1,0.981132,1,0.993711,1,1,1,1,1,1,1,1,1,1,1,0.968354,0.93038,1,1,0.96519,1,1,1,1,0.987421,0.977848,1,1,0.996835,0.993671,1,1,0.990506,1,1,0.943396,0.96519,1,0.990506,0.996835,1,1,1,0.987342,1,1,1,0.990506,1,1,0.987342,0.949367,1,0.996835,1,0.993711,1,1,0.996835,0.984177,1,1,1,0.990506,0.876582,1] area_under_roc_curve 0.9905613108032801 [0.993711,1,1,1,1,1,0.996835,1,1,1,0.996835,0.996835,1,0.939873,1,1,1,0.924051,0.996835,0.987421,1,0.987421,1,1,1,0.955696,0.987342,0.984177,1,1,1,1,1,0.990506,1,1,0.937107,1,0.993711,1,0.993711,1,1,1,1,0.990506,0.993711,1,0.987342,1,1,0.955696,1,0.990506,0.993711,0.937107,1,1,0.993711,0.93038,1,1,1,0.990506,1,0.996835,0.996835,1,0.836478,1,0.993671,1,0.996835,1,1,1,1,0.943038,1,1,0.987342,0.993671,0.968553,0.993711,0.993671,1,0.993671,0.993671,0.993671,1,0.996835,1,1,0.984177,0.996835,1,1,0.974684,0.990506,1] area_under_roc_curve 0.9887357196879225 [0.984177,1,1,1,0.996835,0.974684,0.993711,1,0.984177,1,1,1,1,0.990506,0.984177,0.990506,1,0.990506,0.949686,0.917722,1,1,0.920886,1,0.974843,0.990506,1,1,1,1,1,1,1,0.952532,0.987421,1,0.993711,0.937107,1,1,0.987342,1,1,1,0.993671,1,0.996835,1,0.863924,0.996835,0.993671,1,1,0.977848,1,0.990506,1,0.996835,0.987421,0.962025,1,0.993711,1,1,0.996835,0.981013,0.987342,1,0.981132,0.917722,0.996835,1,0.981132,0.990506,1,1,1,0.971519,1,1,1,1,1,0.996835,1,1,1,0.996835,1,1,1,1,0.993711,0.971519,1,1,0.987342,0.987342,0.987421,1] area_under_roc_curve 0.9903184957407849 [1,1,1,1,0.993671,0.981013,1,1,0.990506,1,1,1,1,1,1,1,1,0.993671,0.91195,0.990506,1,1,0.996835,1,0.987421,0.96519,0.968354,1,1,1,1,1,1,0.977848,1,0.987421,1,0.987421,1,1,0.996835,1,1,0.993711,1,1,1,1,0.996835,1,0.993671,1,0.987421,0.924051,1,0.987342,1,1,1,1,1,1,0.990506,1,0.993671,0.993671,0.939873,1,0.987421,0.920886,0.977848,0.987342,0.981132,1,1,0.971519,1,0.927215,1,1,0.968553,0.977848,1,0.981013,1,1,1,1,1,1,1,1,0.968553,0.987342,1,1,0.990506,0.993671,0.987421,0.962025] area_under_roc_curve 0.9887016360162407 [0.987342,1,1,1,1,0.984177,0.993711,1,1,0.996835,0.996835,0.990506,1,0.880503,1,0.993671,1,1,0.993711,0.993671,0.987342,1,1,1,1,0.962025,0.987342,1,1,1,1,1,0.993671,0.952532,1,1,0.993671,0.943038,0.990506,1,1,1,0.981132,1,1,1,1,0.996835,1,0.993671,0.993711,0.968553,0.996835,0.968553,0.971519,0.949367,1,0.990506,0.996835,0.987421,1,1,0.993711,1,0.996835,1,0.918239,1,0.889241,0.952532,1,1,1,0.987421,0.911392,1,0.993671,0.939873,1,1,1,1,0.996835,0.993671,0.987421,1,1,1,1,1,1,0.996835,1,0.987421,0.977848,1,0.996835,0.993711,0.987421,0.990506] area_under_roc_curve 0.988223469468991 [0.946203,1,1,1,1,0.990506,1,1,1,0.996835,1,1,1,1,1,1,1,1,1,0.920886,1,0.996835,0.977848,1,0.990506,0.984177,0.974684,0.993711,1,1,1,1,0.958861,0.993671,0.955975,1,0.93038,0.987342,1,1,1,0.987342,1,0.993711,1,1,1,1,0.984177,0.955696,0.993711,0.993711,1,1,0.987342,0.93038,1,1,1,1,1,0.996835,0.987421,1,1,0.993671,0.974843,1,0.977848,1,0.968354,0.990506,1,1,0.876582,1,0.996835,0.981013,1,1,1,0.984177,1,0.987342,0.937107,1,1,0.962264,0.981013,1,1,1,0.955975,1,0.993671,1,0.990506,0.981132,0.981132,0.990506] area_under_roc_curve 0.992658327362471 [0.990506,1,1,1,1,1,1,1,0.993711,1,1,1,0.977848,1,1,0.990506,1,0.974843,0.981013,0.984177,1,1,1,1,0.993671,0.830189,0.993711,0.962025,1,1,1,1,1,1,1,1,0.993671,1,1,1,1,0.996835,1,1,1,1,0.996835,0.984177,1,1,1,0.990506,1,0.981132,0.996835,0.968354,1,1,0.993671,0.987421,1,0.996835,1,0.977848,0.996835,0.993711,0.974843,1,0.987342,0.96519,0.993711,1,0.993671,1,0.990506,1,1,1,1,1,0.990506,1,0.968354,0.996835,1,1,1,0.90566,1,1,1,1,0.990506,0.987421,0.987421,0.993671,1,0.993711,0.96519,1] area_under_roc_curve 0.9921388623517231 [1,1,1,1,1,0.987342,1,1,1,1,0.993711,1,1,1,1,0.971519,1,0.962264,0.990506,0.949367,1,1,1,1,1,0.993711,0.981132,0.971519,1,0.996835,1,1,1,1,1,1,0.974684,1,1,1,1,1,1,0.993671,1,0.993671,1,1,0.993711,1,0.993711,0.981013,0.968354,1,0.993671,0.96519,1,1,0.990506,1,1,0.990506,0.993711,0.996835,1,0.974843,0.968553,1,0.977848,0.981013,0.993711,1,1,1,0.993671,1,1,0.968553,1,1,0.987342,1,0.968354,1,0.949367,0.987342,1,0.949686,1,1,1,1,1,0.962264,1,1,0.984177,1,0.968354,0.993671] area_under_roc_curve 0.9944311758617939 [0.974843,1,1,1,1,1,0.996835,1,1,1,1,1,0.996835,0.996835,1,0.993711,1,1,1,1,1,1,1,1,1,1,0.987421,1,0.990506,1,1,1,1,0.993711,1,1,0.996835,0.971519,1,1,0.943396,0.993671,1,0.993671,0.987342,0.993671,1,0.996835,0.981132,1,1,0.996835,1,0.892405,0.990506,0.949686,1,1,0.996835,0.993671,1,1,0.996835,1,1,1,0.990506,1,0.977848,1,1,0.987421,0.981013,1,0.993671,0.981013,1,0.993711,1,0.993671,1,1,1,0.987421,0.993671,1,1,0.993671,0.993711,1,1,0.996835,1,0.993671,1,0.993671,0.993711,1,0.993671,1] area_under_roc_curve 0.9944381418676855 [0.968553,0.996835,0.993711,1,1,1,1,0.918239,0.996835,1,1,1,0.996835,0.987342,0.996835,0.993711,1,1,0.990506,1,1,1,1,1,1,0.943396,1,0.996835,0.990506,1,1,1,1,0.981132,0.996835,0.996835,0.984177,1,1,1,0.993711,1,1,0.996835,1,0.981013,1,0.996835,0.993711,0.993711,0.996835,0.984177,1,0.974684,0.996835,0.962264,1,1,0.993671,0.996835,1,0.993671,0.977848,1,1,1,0.993671,1,1,0.962264,0.974843,1,0.981013,1,0.974684,0.996835,1,0.987421,0.993711,1,1,0.974843,1,0.968553,1,1,1,1,1,1,1,1,1,0.993671,1,0.996835,1,0.996835,1,1] 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 0.6462971735354492 kappa 0.6842437638143354 kappa 0.6084004421285332 kappa 0.6651926721415035 kappa 0.6210626036156943 kappa 0.6021000276319425 kappa 0.6462273463102618 kappa 0.6589698046181172 kappa 0.67156166114006 kappa 0.65254471512615 kb_relative_information_score 113.73953244154708 kb_relative_information_score 111.96759811262098 kb_relative_information_score 110.61633132519921 kb_relative_information_score 111.67433716794312 kb_relative_information_score 111.25952387717498 kb_relative_information_score 110.29177976615718 kb_relative_information_score 113.79929597096921 kb_relative_information_score 113.15752879516035 kb_relative_information_score 115.3439737103513 kb_relative_information_score 114.64583450279659 mean_absolute_error 0.01302161029054789 mean_absolute_error 0.01317761647074335 mean_absolute_error 0.013234688516242727 mean_absolute_error 0.013251841712719517 mean_absolute_error 0.013187743510778066 mean_absolute_error 0.013294985002028348 mean_absolute_error 0.013049527180540138 mean_absolute_error 0.013127384792699318 mean_absolute_error 0.012888840727797595 mean_absolute_error 0.01311165325381335 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 0.65 predictive_accuracy 0.6875 predictive_accuracy 0.6125 predictive_accuracy 0.66875 predictive_accuracy 0.625 predictive_accuracy 0.60625 predictive_accuracy 0.65 predictive_accuracy 0.6625 predictive_accuracy 0.675 predictive_accuracy 0.65625 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 0.65 [1,1,1,1,0.5,1,1,1,1,1,0.5,0.5,1,0,1,1,1,0,0.5,0,1,0,1,1,1,0,0.5,1,0.5,1,0.5,1,1,0,1,0,0,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,0.5,0.5,1,0,1,1,1,1,0,0.5,1,1,0,0,1,0.5,0,1,0,0,0,1,0.5,1,1,1,0.5,0.5,1,1,1,0.5,1,1,0.5,0.5,1,0.5,0,0,1,1,1,0.5,0.5,0.5,1,0,0,1] recall 0.6875 [1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0.5,1,1,1,0,0.5,0,1,0,0,1,1,0.5,0.5,0,0.5,1,1,1,1,0.5,1,1,0,1,1,1,1,1,1,1,0.5,0.5,1,1,0,1,0.5,0,1,0.5,1,0,1,1,1,0.5,1,1,1,1,1,0.5,0.5,1,0,0,1,1,0.5,1,1,1,0.5,0,1,1,0.5,0.5,0,0,1,1,0.5,0.5,0,1,1,1,0.5,0,0.5,1,1,0,0,1] recall 0.6125 [0,1,1,1,0.5,0,1,1,0,1,0.5,0.5,1,0.5,0.5,0.5,1,0.5,0,0,1,0,0.5,1,0,0,0.5,1,1,1,1,1,1,0.5,0,1,1,0,1,1,0,1,1,1,0.5,0,0.5,1,0.5,0.5,1,1,0,0,1,0,1,1,1,0,1,0,0.5,1,0.5,0.5,0.5,1,0,0,0.5,1,0,0.5,0,1,1,0,0.5,1,0,0.5,1,0.5,1,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,0,0.5] recall 0.66875 [1,1,1,1,0.5,0,1,1,0.5,1,1,0.5,1,0.5,1,1,1,0.5,0,0,1,1,0.5,1,0,0,0.5,1,1,0.5,1,1,1,0.5,1,1,1,0,1,1,0.5,1,1,1,1,1,0.5,1,1,1,0.5,1,0,0,1,1,1,1,1,0.5,1,1,1,1,0.5,1,0,1,0,0.5,0,0.5,0,1,0,0.5,1,0,1,1,0,0,1,0,1,1,1,0.5,1,1,1,1,0,0,1,0,0.5,0.5,0,0] recall 0.625 [0.5,1,1,1,1,0.5,0,0.5,1,1,1,0.5,1,0,1,0.5,1,1,1,0,0.5,1,1,1,0.5,0,0.5,1,1,1,1,1,1,0,1,1,0.5,0,0.5,1,1,1,0,1,1,1,1,0,0.5,0.5,0,0,0,0,0,0,1,0.5,1,0,1,1,1,1,0.5,0,0,1,0,0.5,0,0.5,1,0,0.5,1,0.5,0,1,1,1,1,0,0.5,1,1,1,1,1,1,1,0.5,0,1,0.5,1,0.5,1,0,0.5] recall 0.60625 [0,1,1,0.5,1,0,1,0.5,1,0.5,1,1,1,1,1,1,1,0.5,1,0.5,1,0.5,0.5,1,0.5,0,0.5,1,1,1,0,1,0.5,0,0,0.5,0.5,0.5,1,1,1,0.5,1,1,1,1,1,0,0.5,0.5,1,1,1,0,0,0,1,1,0,1,0.5,0.5,0,1,1,1,1,1,0.5,0.5,0,1,1,1,0,0,0.5,0,1,1,1,0,1,0.5,0,1,0,0,0,1,1,1,0,1,0,1,0.5,0,0,0.5] recall 0.65 [0.5,0,1,1,1,1,1,1,1,1,1,1,0.5,1,0,0.5,1,0,0.5,0.5,1,1,0.5,1,1,0,0,0.5,0,1,0.5,1,1,1,1,1,0.5,1,1,0,0,0.5,1,0.5,1,0.5,0,0.5,1,1,0,0.5,1,0,0.5,0,1,1,0.5,0,1,0.5,1,0,1,1,0,1,0.5,0,1,1,0,1,0.5,1,1,0,1,1,0.5,1,0.5,0.5,1,1,0.5,0,0,1,1,1,0.5,0,0,0.5,1,0,0,1] recall 0.6625 [1,1,1,1,1,0.5,1,1,1,1,1,1,0.5,0,1,0.5,1,0,0.5,0,1,1,0.5,1,0.5,0,0,0.5,1,1,0.5,1,1,1,1,1,0.5,0,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0,0,0.5,1,0.5,0,1,1,1,1,1,0.5,1,0.5,1,0,1,1,0,0.5,0,1,1,0,0,1,1,0,1,1,0,0,0,0.5,0.5,0.5,1,0,1,1,1,1,0,0,0,1,0.5,1,0,0.5] recall 0.675 [0,1,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,0,1,1,1,0,1,1,1,1,1,0,0,1,0.5,1,1,1,1,1,1,1,1,0,1,0,0,0.5,0,0.5,0,0.5,1,0.5,0,1,1,0,1,0,0,0,1,1,0.5,0,1,1,0.5,1,1,1,0.5,1,0.5,1,1,0,0.5,1,0.5,0.5,1,0,1,0.5,1,1,1,0,0.5,1,1,0.5,0,1,1,0.5,0,0,1,1,0,1,0,1] recall 0.65625 [0,0,0,1,1,0,1,0,1,1,1,1,0.5,0.5,0.5,1,1,1,0.5,1,1,1,1,1,1,0,1,0.5,0.5,1,1,0.5,1,0,1,1,0,1,0.5,1,0,1,0.5,0.5,1,0.5,1,0,1,1,1,0.5,1,0.5,0.5,0,1,1,1,0.5,1,0,0,1,1,1,0,1,0.5,0,0,1,0,1,0,0.5,1,0,0,1,1,0,1,0,1,1,0.5,0.5,0,0.5,0.5,1,1,0.5,1,1,1,0.5,0.5,1] relative_absolute_error 0.6576570853812055 relative_absolute_error 0.6655361853910772 relative_absolute_error 0.6684186119314498 relative_absolute_error 0.6692849349858331 relative_absolute_error 0.6660476520594972 relative_absolute_error 0.6714638889913296 relative_absolute_error 0.6590670293202079 relative_absolute_error 0.66299923195451 relative_absolute_error 0.6509515519089684 relative_absolute_error 0.662204709788552 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 0.07336458000333439 root_mean_squared_error 0.07442371452740669 root_mean_squared_error 0.07538727843520751 root_mean_squared_error 0.07472808634598209 root_mean_squared_error 0.07521517426958554 root_mean_squared_error 0.07590099844555728 root_mean_squared_error 0.07411805439839879 root_mean_squared_error 0.07393242082592832 root_mean_squared_error 0.07280027413210766 root_mean_squared_error 0.07405152702027029 root_relative_squared_error 0.7373417720396083 root_relative_squared_error 0.7479864745210005 root_relative_squared_error 0.7576706561685882 root_relative_squared_error 0.7510455263966754 root_relative_squared_error 0.7559409442224511 root_relative_squared_error 0.762833736537157 root_relative_squared_error 0.744914474638301 root_relative_squared_error 0.7430487870371563 root_relative_squared_error 0.7316702846400517 root_relative_squared_error 0.7442458493306092 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 8531.266855003196 usercpu_time_millis 8549.303277002764 usercpu_time_millis 8335.22042199911 usercpu_time_millis 8340.901322997524 usercpu_time_millis 8346.681502007414 usercpu_time_millis 8311.684469008469 usercpu_time_millis 8339.118456002325 usercpu_time_millis 8367.880763995345 usercpu_time_millis 8425.219012002344 usercpu_time_millis 8484.928455014597 usercpu_time_millis_testing 36.924187996191904 usercpu_time_millis_testing 36.224794006557204 usercpu_time_millis_testing 36.05361099471338 usercpu_time_millis_testing 35.08604899980128 usercpu_time_millis_testing 36.10583700356074 usercpu_time_millis_testing 37.1246120048454 usercpu_time_millis_testing 35.25150199129712 usercpu_time_millis_testing 35.22906299622264 usercpu_time_millis_testing 38.90123100427445 usercpu_time_millis_testing 35.224336010287516 usercpu_time_millis_training 8494.342667007004 usercpu_time_millis_training 8513.078482996207 usercpu_time_millis_training 8299.166811004397 usercpu_time_millis_training 8305.815273997723 usercpu_time_millis_training 8310.575665003853 usercpu_time_millis_training 8274.559857003624 usercpu_time_millis_training 8303.866954011028 usercpu_time_millis_training 8332.651700999122 usercpu_time_millis_training 8386.31778099807 usercpu_time_millis_training 8449.70411900431