5993617 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) 4028350 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.5227702224009911 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 17 6902 min_samples_split 20 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 3054 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 "median" 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 12910496 description https://api.openml.org/data/download/12910496/description.xml -1 12910497 predictions https://api.openml.org/data/download/12910497/predictions.arff area_under_roc_curve 0.9903799715909087 [0.974945,0.999092,0.999566,0.999724,0.998106,0.987768,0.998224,0.996449,0.994871,0.998106,0.995581,0.99858,0.996094,0.978575,0.997001,0.995028,0.999684,0.97676,0.981455,0.96441,0.998027,0.995975,0.988794,1,0.993608,0.962042,0.978338,0.988202,0.99566,0.998856,0.999408,0.999921,0.994752,0.985519,0.993884,0.998264,0.981574,0.983665,0.997317,0.999566,0.986742,0.995818,0.999211,0.994358,0.996883,0.995186,0.997475,0.990451,0.986742,0.991083,0.985993,0.98911,0.995423,0.966974,0.989307,0.967487,1,0.999211,0.993845,0.97601,0.998974,0.994949,0.992109,0.996765,0.996843,0.990451,0.97309,1,0.959793,0.974984,0.983507,0.997593,0.987453,0.996646,0.957584,0.992306,0.998106,0.96729,0.998698,0.997593,0.985677,0.993884,0.988913,0.993253,0.993568,0.981416,0.999684,0.988123,0.997475,0.999684,0.99925,0.999171,0.990728,0.984138,0.993766,0.998264,0.993529,0.990885,0.959714,0.991438] average_cost 0 f_measure 0.6218229644524107 [0.538462,0.789474,0.969697,0.848485,0.702703,0.466667,0.736842,0.810811,0.533333,0.857143,0.551724,0.777778,0.608696,0.521739,0.764706,0.689655,0.744186,0.461538,0.5625,0.090909,0.769231,0.785714,0.461538,0.941176,0.606061,0.3,0.258065,0.648649,0.764706,0.727273,0.785714,0.941176,0.8,0.444444,0.631579,0.681818,0.486486,0.444444,0.72,0.780488,0.666667,0.764706,0.769231,0.592593,0.75,0.758621,0.736842,0.666667,0.64,0.774194,0.606061,0.5,0.615385,0.32,0.5,0.083333,0.969697,0.864865,0.564103,0.48,0.777778,0.631579,0.571429,0.8,0.731707,0.514286,0.1875,0.888889,0.2,0.454545,0.32,0.7,0.418605,0.731707,0.380952,0.785714,0.820513,0.315789,0.833333,0.933333,0.285714,0.62069,0.666667,0.416667,0.75,0.787879,0.875,0.540541,0.551724,0.866667,0.8,0.714286,0.642857,0.111111,0.454545,0.7,0.727273,0.4,0.111111,0.533333] kappa 0.6426767676767676 kb_relative_information_score 1016.5651189123677 mean_absolute_error 0.01549326388079803 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 0.6563451161440326 [0.7,0.681818,0.941176,0.823529,0.619048,0.5,0.636364,0.714286,0.571429,0.789474,0.615385,0.7,0.466667,0.857143,0.722222,0.769231,0.592593,0.6,0.5625,0.166667,0.652174,0.916667,0.6,0.888889,0.588235,0.75,0.266667,0.571429,0.722222,0.571429,0.916667,0.888889,0.736842,0.545455,0.545455,0.535714,0.428571,0.4,1,0.64,0.647059,0.722222,0.652174,0.727273,0.75,0.846154,0.636364,0.818182,0.888889,0.8,0.588235,0.583333,0.521739,0.444444,0.583333,0.125,0.941176,0.761905,0.478261,0.666667,0.7,0.545455,0.666667,0.736842,0.6,0.473684,0.1875,0.8,0.5,0.833333,0.444444,0.583333,0.333333,0.6,0.8,0.916667,0.695652,1,0.75,1,0.6,0.692308,0.647059,0.625,0.75,0.764706,0.875,0.47619,0.615385,0.928571,0.666667,0.576923,0.75,0.5,0.833333,0.583333,0.705882,0.428571,0.5,0.571429] predictive_accuracy 0.64625 prior_entropy 6.6438561897747395 recall 0.64625 [0.4375,0.9375,1,0.875,0.8125,0.4375,0.875,0.9375,0.5,0.9375,0.5,0.875,0.875,0.375,0.8125,0.625,1,0.375,0.5625,0.0625,0.9375,0.6875,0.375,1,0.625,0.1875,0.25,0.75,0.8125,1,0.6875,1,0.875,0.375,0.75,0.9375,0.5625,0.5,0.5625,1,0.6875,0.8125,0.9375,0.5,0.75,0.6875,0.875,0.5625,0.5,0.75,0.625,0.4375,0.75,0.25,0.4375,0.0625,1,1,0.6875,0.375,0.875,0.75,0.5,0.875,0.9375,0.5625,0.1875,1,0.125,0.3125,0.25,0.875,0.5625,0.9375,0.25,0.6875,1,0.1875,0.9375,0.875,0.1875,0.5625,0.6875,0.3125,0.75,0.8125,0.875,0.625,0.5,0.8125,1,0.9375,0.5625,0.0625,0.3125,0.875,0.75,0.375,0.0625,0.5] relative_absolute_error 0.7824880747877778 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.08223045862199144 root_relative_squared_error 0.8264472048120923 total_cost 0 area_under_roc_curve 0.9901552921741897 [1,1,1,1,0.996835,1,1,1,0.987342,1,0.990506,0.996835,1,0.958861,1,1,1,0.955696,0.96519,0.968553,1,1,1,1,1,0.993671,0.981013,1,0.993671,0.993711,0.990506,1,0.996835,0.993671,1,0.987421,1,0.993711,1,1,1,1,1,1,1,1,1,1,1,0.974684,0.920886,1,0.993711,0.987342,1,0.993711,1,1,0.993711,0.984177,1,1,0.996835,0.996835,1,0.993671,0.993671,1,0.993711,0.955975,0.981013,1,0.987342,0.990506,1,1,1,0.974684,0.996835,1,1,0.993671,1,1,0.996835,0.886076,1,0.993671,0.996835,1,1,1,1,0.981013,1,1,1,0.993671,0.85443,1] area_under_roc_curve 0.9901246915054532 [0.968553,1,1,1,1,1,0.990506,1,1,1,0.996835,1,0.990506,0.939873,1,1,0.996835,0.968354,1,0.987421,1,0.993711,1,1,1,0.933544,0.977848,0.93038,0.996835,1,1,1,1,0.990506,0.993671,1,0.949686,1,0.993711,1,1,1,1,0.993671,1,0.996835,1,1,0.987342,1,1,0.958861,1,0.990506,0.993711,0.949686,1,1,1,0.939873,1,1,0.993671,0.993671,1,1,1,1,0.880503,1,1,1,0.987342,1,1,1,1,0.952532,1,0.996835,0.984177,1,0.949686,0.987421,1,1,0.993671,0.987342,0.993671,1,1,1,1,0.974684,0.993671,0.996835,0.993711,0.974684,0.990506,1] area_under_roc_curve 0.9898054991640791 [1,0.996835,1,1,0.993671,0.974684,0.993711,1,0.981013,1,0.996835,1,1,0.993671,0.984177,1,1,0.987342,0.962264,0.886076,1,0.981132,0.927215,1,0.962264,0.984177,1,1,1,1,1,1,1,0.968354,0.987421,1,0.993711,0.949686,1,1,1,1,1,1,0.993671,1,0.996835,1,0.946203,1,0.993671,1,1,0.987342,1,0.987342,1,0.996835,0.987421,0.968354,1,0.981132,1,1,0.996835,0.977848,0.977848,1,0.981132,0.946203,0.993671,0.993671,0.968553,0.996835,1,1,1,0.968354,0.996835,0.996835,1,1,1,0.996835,1,1,1,1,0.996835,1,1,1,0.981132,0.974684,0.993671,1,0.981013,0.993671,0.987421,1] area_under_roc_curve 0.990045328795478 [0.981013,0.993671,1,1,0.996835,0.971519,1,1,0.993671,0.996835,0.996835,1,1,1,1,1,1,0.987342,0.899371,0.987342,1,1,1,1,0.987421,0.946203,0.946203,1,1,1,1,1,1,1,1,0.987421,1,1,1,1,0.996835,1,1,1,1,1,1,1,0.993671,1,0.987342,1,0.987421,0.93038,1,0.990506,1,1,1,0.990506,1,1,0.993671,1,0.996835,0.993671,0.955696,1,1,0.958861,0.977848,0.990506,0.968553,1,0.993711,0.955696,1,0.943038,1,0.993671,0.924528,0.984177,1,0.984177,1,1,1,1,1,1,1,1,0.924528,0.993671,1,0.993711,0.990506,0.996835,0.987421,0.981013] area_under_roc_curve 0.9883854291059624 [0.993671,1,1,1,1,0.987342,1,1,1,1,0.993671,0.990506,1,0.90566,1,0.990506,1,1,0.993711,0.987342,0.981013,0.993671,1,1,0.993671,0.958861,0.984177,1,1,1,1,1,0.990506,0.962025,1,1,0.984177,0.977848,0.993671,1,1,1,0.987421,1,1,0.993711,1,0.993671,1,0.996835,1,0.968553,1,0.981132,0.955696,0.952532,1,0.993671,0.993671,0.968553,1,1,1,1,0.996835,1,0.867925,1,0.873418,0.993671,1,1,0.993711,1,0.85443,1,0.993671,0.96519,1,1,1,1,0.993671,0.993671,0.981132,1,1,1,1,1,1,0.993671,1,0.987421,0.984177,1,0.996835,1,0.987421,0.974684] area_under_roc_curve 0.989050931454502 [0.911392,1,1,1,1,0.984177,1,1,1,0.996835,1,1,1,0.993711,1,1,1,1,1,0.927215,1,0.987342,0.981013,1,0.990506,0.993671,0.971519,0.993711,1,1,1,1,0.971519,0.996835,0.962264,1,0.946203,0.984177,0.996835,1,1,0.977848,1,1,1,1,1,0.981013,0.981013,0.96519,0.993711,0.987421,1,1,0.981013,0.949367,1,1,1,1,1,0.993671,0.987421,1,1,0.996835,0.993711,1,0.984177,1,0.962025,0.990506,1,1,0.924051,1,0.996835,0.96519,1,1,0.993711,0.984177,1,0.990506,0.987421,1,1,0.974843,0.993671,1,1,0.996835,0.968553,1,1,1,1,0.981132,0.974843,0.974684] area_under_roc_curve 0.9916728863147831 [0.996835,1,1,1,1,1,1,1,0.993711,1,1,1,0.977848,0.981132,0.993711,0.996835,1,0.955975,0.993671,0.981013,0.990506,0.996835,0.996835,1,0.990506,0.886792,0.987421,0.974684,0.987421,1,1,1,1,0.987421,1,1,0.996835,1,1,1,0.996835,0.993671,1,0.996835,1,0.996835,0.993671,0.981013,1,1,1,0.990506,0.996835,0.981132,0.993671,0.971519,1,1,0.993671,0.981132,0.993671,0.996835,1,0.981013,1,0.981132,0.955975,1,0.984177,0.958861,0.993711,1,1,1,0.993671,1,1,0.962264,1,1,0.981013,1,0.968354,0.993671,1,1,1,0.930818,1,1,1,1,0.977848,0.974843,0.987421,1,1,0.987421,0.952532,1] area_under_roc_curve 0.9929322406655519 [1,1,1,1,1,0.993671,0.996835,1,0.993711,0.996835,0.993711,1,0.996835,1,1,0.977848,1,0.943396,0.981013,0.981013,0.993671,1,1,1,0.996835,0.968553,0.962264,0.987342,1,0.996835,1,1,1,0.993711,1,1,0.987342,0.968354,1,1,1,1,1,0.990506,1,1,1,0.990506,1,1,0.993711,0.993671,0.987342,1,1,0.971519,1,1,0.990506,0.993711,1,0.993671,1,0.996835,1,0.968553,0.955975,1,0.974684,0.987342,0.993711,1,1,0.981132,0.987342,1,1,0.993711,1,0.993711,0.984177,1,0.974684,0.996835,0.990506,0.984177,1,0.993711,1,1,1,1,1,0.974843,0.987421,1,0.987342,0.987421,0.962025,1] area_under_roc_curve 0.9928553658148234 [0.962264,1,1,1,1,1,0.996835,1,0.996835,1,0.993711,1,1,1,1,1,1,1,1,1,1,1,0.987421,1,1,1,0.987421,1,0.987342,1,1,1,1,0.981132,1,1,0.993671,0.974684,0.996835,1,0.836478,0.993671,1,0.987342,0.996835,0.987342,1,0.993671,0.993711,1,1,0.996835,0.996835,0.876582,0.990506,0.949686,1,1,0.996835,0.974684,1,1,1,1,1,1,1,1,0.990506,0.981132,1,0.993711,0.984177,1,0.987342,0.987342,0.993711,1,1,0.993671,0.993671,0.993711,1,0.987421,0.993671,1,1,0.987342,1,1,1,0.993671,1,0.987342,0.987421,0.996835,0.987421,0.996835,0.990506,1] area_under_roc_curve 0.9940883488575745 [0.918239,1,0.993711,1,1,0.993711,1,0.943396,0.996835,1,0.993711,1,0.996835,0.990506,1,1,1,0.981132,0.990506,0.993711,1,1,1,1,1,0.918239,1,0.996835,0.996835,1,1,1,1,0.981132,0.996835,0.996835,0.987342,1,1,1,0.987421,1,0.996835,0.993671,1,0.987342,1,0.987342,1,0.993711,1,0.993671,1,0.981013,0.996835,0.955975,1,1,0.993671,0.996835,1,0.993671,0.974684,1,0.987421,0.993711,1,1,1,0.993711,0.918239,1,0.981013,1,0.993671,0.996835,1,1,0.974843,1,1,0.974843,1,0.974843,1,1,1,0.987342,1,1,1,1,1,1,0.993711,1,0.993711,1,1,0.987421] 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 0.6842437638143354 kappa 0.6526407199810531 kappa 0.6210925165772024 kappa 0.6525721504994275 kappa 0.6083695223055666 kappa 0.614731772786484 kappa 0.6146100691016783 kappa 0.6778650665192847 kappa 0.6146405022308209 kappa 0.6841440303221731 kb_relative_information_score 101.749285695948 kb_relative_information_score 101.18991121570596 kb_relative_information_score 100.07204728886727 kb_relative_information_score 100.40776230458681 kb_relative_information_score 101.29174423809303 kb_relative_information_score 100.80176129914624 kb_relative_information_score 101.9194892495714 kb_relative_information_score 102.36686147846274 kb_relative_information_score 103.71589985575072 kb_relative_information_score 103.0503562862365 mean_absolute_error 0.015477039383737942 mean_absolute_error 0.015501928890083552 mean_absolute_error 0.015568168337142918 mean_absolute_error 0.01562298086704593 mean_absolute_error 0.015452211715848962 mean_absolute_error 0.015480837463203004 mean_absolute_error 0.015486421686177029 mean_absolute_error 0.01546390636838125 mean_absolute_error 0.015397042916871755 mean_absolute_error 0.01548210117948792 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 0.6875 predictive_accuracy 0.65625 predictive_accuracy 0.625 predictive_accuracy 0.65625 predictive_accuracy 0.6125 predictive_accuracy 0.61875 predictive_accuracy 0.61875 predictive_accuracy 0.68125 predictive_accuracy 0.61875 predictive_accuracy 0.6875 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 0.6875 [1,1,1,1,0.5,1,1,1,0,1,0.5,1,1,0,1,1,1,0,0.5,0,1,1,1,1,1,0,0,1,0.5,1,0.5,1,1,0,1,0,0,1,1,1,1,1,1,0.5,1,1,1,1,1,0.5,0.5,0.5,1,0,1,0,1,1,1,0.5,1,1,0,1,1,1,0.5,1,0,0,0.5,1,0.5,0.5,1,1,1,0.5,1,1,0,1,1,0,1,0.5,1,0.5,0,1,1,1,1,0.5,0.5,0.5,1,0.5,0,1] recall 0.65625 [0,1,1,1,1,1,0.5,1,0.5,1,0.5,1,0.5,0.5,1,1,1,0,0.5,1,1,0,0,1,1,0.5,0,0.5,1,1,1,1,1,0.5,0.5,1,0,1,0,1,1,1,1,0.5,0.5,1,1,0,0,1,1,0.5,1,0.5,1,0,1,1,1,0.5,1,1,1,1,1,0,0,1,0,0,0.5,1,0.5,1,1,1,1,0,1,0.5,0,0.5,0,0,1,1,0.5,0.5,1,1,1,1,0,0,0.5,1,1,0,0,1] recall 0.625 [0.5,1,1,1,0.5,0,1,1,0,1,0.5,1,1,0.5,0,0.5,1,0.5,0,0,1,0,0,1,0,0.5,0.5,1,1,1,1,1,1,0,0,1,1,0,1,1,0,1,1,1,0.5,1,0.5,1,0.5,0.5,1,1,1,0.5,1,0,1,1,1,0,1,1,0,1,1,0.5,0.5,1,0,0.5,0,1,0,1,0,0.5,1,0,0.5,1,1,0.5,1,0.5,1,0,1,1,1,1,1,1,1,0,0.5,1,0.5,0.5,0,0.5] recall 0.65625 [0.5,1,1,1,0.5,0,1,1,0.5,1,0,0.5,1,0.5,1,1,1,0.5,0,0,1,1,0.5,1,0,0,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,1,0,0,1,0.5,1,1,1,0.5,1,1,1,1,0.5,1,0,1,0,0.5,0,0.5,0,1,0,0.5,1,0,1,1,0,0.5,1,0.5,1,1,1,1,0.5,1,1,1,0,0,0,0,1,0.5,0,0] recall 0.6125 [0.5,1,1,1,1,0.5,0,1,1,1,1,0.5,1,0,1,0.5,1,1,0,0,0.5,0.5,1,1,0.5,0,0,1,1,1,1,1,0.5,0,1,1,1,0,0.5,1,1,1,1,0,1,0,0.5,0,0.5,0.5,0,0,0,0,0,0,1,1,1,0,1,1,1,1,1,0,0,1,0,0.5,0,1,0,1,0,1,1,0,1,1,0,1,0.5,0,0,1,1,1,1,1,1,1,1,0,0.5,1,0.5,1,0,0.5] recall 0.61875 [0,1,1,0.5,1,0.5,1,1,0,0.5,0,1,1,1,1,1,1,0.5,1,0,1,1,0,1,1,0.5,0.5,1,1,1,0,1,0.5,1,0,1,0.5,0.5,0.5,1,1,0.5,1,1,1,1,1,0,0.5,0.5,1,0,1,1,0,0,1,1,0,1,1,0.5,0,1,1,0.5,0,1,0,0.5,0.5,1,1,1,0,0,1,0,1,0,1,0,1,0.5,0,1,1,0,0,1,1,1,0,0,0,1,1,0,0,0.5] recall 0.61875 [0.5,1,1,1,1,0.5,1,1,1,1,1,1,0.5,0,0,0.5,1,0,1,0,1,0.5,0,1,0.5,0,0,0,1,1,0.5,1,1,0,1,1,0.5,1,0.5,1,0,0.5,1,1,0,0.5,1,0.5,1,1,0,0.5,1,0,0.5,0,1,1,0.5,0,0,0.5,1,0.5,1,1,0,1,0,0,1,1,1,1,1,1,1,0,1,1,0,1,0.5,0.5,1,1,0.5,0,0,0,1,1,0.5,0,0,1,1,0,0,0.5] recall 0.68125 [1,1,1,0.5,1,0,1,1,1,1,1,1,1,0,1,0.5,1,0,1,0,1,1,0,1,1,0,0,0.5,1,1,0,1,1,1,1,1,0,0,1,1,1,1,1,0,1,1,1,1,1,1,1,0,0.5,1,0.5,0,1,1,1,1,1,0.5,1,1,1,0,0,1,0,0.5,0,1,1,1,0,1,1,1,1,1,0,0,0,0.5,0.5,0.5,1,1,1,1,1,1,1,0,0,1,0.5,0,0,0.5] recall 0.61875 [0,1,1,1,1,1,1,1,0.5,1,0,1,1,0.5,1,0,1,1,1,0,1,0.5,1,1,0,0,0,1,1,1,1,1,1,1,0.5,1,1,0,0,1,0,0.5,1,0.5,0.5,0,1,0.5,0,1,1,0,1,0,0,0,1,1,0,0,1,1,0.5,0.5,1,1,0,1,0.5,0,0,0,0.5,1,0,0.5,1,1,1,1,0.5,1,1,0,0.5,1,1,0.5,0,1,1,0.5,0,0,0,1,0,0.5,0.5,1] recall 0.6875 [0,0.5,1,1,1,1,1,0,1,1,1,1,1,0.5,1,0,1,0,0,0,1,1,1,1,1,0,1,1,0,1,1,1,1,0,1,1,0.5,1,0.5,1,1,1,0.5,0,1,0.5,1,1,1,1,0.5,1,1,0,0.5,0,1,1,1,0.5,1,0.5,0,1,1,1,0.5,1,0.5,0,0,1,0.5,1,0,0.5,1,0,1,1,0,0,1,0,1,1,1,0.5,0,0.5,1,1,1,0,1,1,1,0.5,0,0] relative_absolute_error 0.7816686557443393 relative_absolute_error 0.78292570151937 relative_absolute_error 0.7862711281385298 relative_absolute_error 0.7890394377295911 relative_absolute_error 0.7804147331236837 relative_absolute_error 0.7818604779395444 relative_absolute_error 0.7821425094028789 relative_absolute_error 0.781005372140466 relative_absolute_error 0.7776284301450369 relative_absolute_error 0.781924301994338 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 0.08193988439345844 root_mean_squared_error 0.08209660531086338 root_mean_squared_error 0.08278826678560461 root_mean_squared_error 0.08268751368082451 root_mean_squared_error 0.08221712431821025 root_mean_squared_error 0.08251096254439509 root_mean_squared_error 0.08234382379298082 root_mean_squared_error 0.08198535792507908 root_mean_squared_error 0.08156730879997273 root_mean_squared_error 0.08216032735321174 root_relative_squared_error 0.8235268239339384 root_relative_squared_error 0.8251019284182791 root_relative_squared_error 0.8320533877930081 root_relative_squared_error 0.8310407809899203 root_relative_squared_error 0.8263131900166901 root_relative_squared_error 0.8292663753055348 root_relative_squared_error 0.827586567649869 root_relative_squared_error 0.8239838501226595 root_relative_squared_error 0.8197822983289804 root_relative_squared_error 0.8257423590405356 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 5065.95937199927 usercpu_time_millis 5015.3637909998 usercpu_time_millis 4894.0047420001065 usercpu_time_millis 4901.54726900073 usercpu_time_millis 4927.920808000636 usercpu_time_millis 4895.592116999069 usercpu_time_millis 4898.931850999361 usercpu_time_millis 4923.737397999503 usercpu_time_millis 4928.177891999439 usercpu_time_millis 4958.157122000557 usercpu_time_millis_testing 32.39972099981969 usercpu_time_millis_testing 32.3149089999788 usercpu_time_millis_testing 32.876923000003444 usercpu_time_millis_testing 32.84819000054995 usercpu_time_millis_testing 32.55594900019787 usercpu_time_millis_testing 32.47371799989196 usercpu_time_millis_testing 32.4799099998927 usercpu_time_millis_testing 32.88082299968664 usercpu_time_millis_testing 32.4663290002718 usercpu_time_millis_testing 32.57050499996694 usercpu_time_millis_training 5033.55965099945 usercpu_time_millis_training 4983.048881999821 usercpu_time_millis_training 4861.127819000103 usercpu_time_millis_training 4868.69907900018 usercpu_time_millis_training 4895.364859000438 usercpu_time_millis_training 4863.118398999177 usercpu_time_millis_training 4866.451940999468 usercpu_time_millis_training 4890.856574999816 usercpu_time_millis_training 4895.711562999168 usercpu_time_millis_training 4925.58661700059