238697 2 Joaquin Vanschoren 4648 Supervised Classification predictive_accuracy 1094 weka.JRip(4) 1864 weka.classifiers.rules.JRip -- -F 3 -N 2.0 -O 2 -S 1 F 3 1094 N 2.0 1094 O 2 1094 S 1 1094 weka weka_3.7.12 1109 lymphoma_11classes https://www.openml.org/data/download/53992/lymphoma_11classes.arff -1 794960 description https://api.openml.org/data/download/794960/weka_generated_run3778259709080985774.xml -1 794963 model_readable https://api.openml.org/data/download/794963/WekaModel_weka.classifiers.rules.JRip5873595544410602816.model -1 794962 model_serialized https://api.openml.org/data/download/794962/WekaSerialized_weka.classifiers.rules.JRip1055514462259149824.model -1 794961 predictions https://api.openml.org/data/download/794961/weka_generated_predictions7180570166391951468.arff area_under_roc_curve 0.735999 [0.750731,0.71439,0.360526,0.704441,0.452633,0.813831,0.758769,0.839278,0.701699,0.575,0.790209] average_cost 0 f_measure 0.520189 [0.571429,0.530534,0,0,0,0.622951,0.534483,0.633333,0.466258,0.117647,0.660099] kappa 0.43125 kb_relative_information_score 400.361855 mean_absolute_error 0.097395 mean_prior_absolute_error 0.155126 number_of_instances 960 [220,230,10,20,20,100,60,60,90,40,110] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.521743 [0.553191,0.472789,0,0,0,0.686747,0.553571,0.633333,0.520548,0.111111,0.72043] predictive_accuracy 0.526042 prior_entropy 3.089168 recall 0.526042 [0.590909,0.604348,0,0,0,0.57,0.516667,0.633333,0.422222,0.125,0.609091] relative_absolute_error 0.627844 root_mean_prior_squared_error 0.277562 root_mean_squared_error 0.271579 root_relative_squared_error 0.978444 scimark_benchmark 1325.50874 [811.2747702575753, 958.2074025799751, 524.8004995102859, 1114.0841831164175, 3219.1768431865976] total_cost 0 usercpu_time_millis 2440 usercpu_time_millis_testing 0 usercpu_time_millis_training 2440 area_under_roc_curve 0.643651 [0.75,0.404762,0.0,0.277778,0.0,1,0.0,0.444444,1,0.0,1] area_under_roc_curve 0.914583 [0.9375,0.96875,0.0,0.0,0.0,0.944444,1,1,0.388889,1,1] area_under_roc_curve 0.845238 [0.928571,1,0.0,0.0,0.0,0.333333,1,0.0,0.333333,0.0,1] area_under_roc_curve 0.831944 [0.5625,0.875,0.0,0.0,0.0,0.944444,1,1,1,0.5,1] area_under_roc_curve 0.638095 [1,0.571429,0.0,0.0,0.0,0.5,0.5,0.333333,0.0,0.333333,1] area_under_roc_curve 0.623016 [0.547619,0.714286,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.944444] area_under_roc_curve 0.765476 [0.690476,0.625,0.0,0.0,0.0,1,0.944444,1,0.388889,0.0,1] area_under_roc_curve 0.740774 [0.8125,0.809524,0.0,0.0,0.0,1,0.0,0.0,0.666667,0.5,0.59375] area_under_roc_curve 0.873016 [1,0.761905,0.5,0.0,0.0,1,0.0,0.0,0.944444,0.0,1] area_under_roc_curve 0.713393 [0.690476,0.53125,0.0,0.0,0.0,0.5,0.944444,1,0.944444,0.0,0.611111] area_under_roc_curve 0.826488 [0.65625,0.928571,0.0,0.888889,0.0,1,0.0,0.277778,1,0.0,1] area_under_roc_curve 0.765278 [0.875,0.5625,0.0,0.0,0.0,1,0.944444,0.944444,0.5,0.388889,1] area_under_roc_curve 0.779563 [0.880952,0.4375,0.0,0.0,0.0,0.944444,1,0.0,0.333333,0.0,1] area_under_roc_curve 0.805556 [0.9375,0.5625,0.0,0.0,0.0,1,0.333333,0.944444,0.888889,0.888889,1] area_under_roc_curve 0.64127 [0.5,0.619048,0.0,0.0,0.0,0.666667,0.0,1,1,0.666667,0.222222] area_under_roc_curve 0.850694 [0.833333,0.78125,0.0,0.0,0.0,0.944444,0.0,1,1,0.5,1] area_under_roc_curve 0.737599 [0.761905,0.65625,0.0,0.0,0.0,0.944444,0.944444,1,0.444444,0.0,0.444444] area_under_roc_curve 0.872222 [1,1,0.0,0.0,0.388889,0.944444,0.0,0.0,1,0.388889,1] area_under_roc_curve 0.794444 [0.65625,0.65625,0.0,0.0,0.444444,1,0.0,1,1,0.0,0.9375] area_under_roc_curve 0.624802 [0.642857,0.6875,0.0,0.0,0.0,0.666667,0.5,1,0.111111,0.0,0.666667] area_under_roc_curve 0.778175 [0.875,0.547619,0.0,0.0,0.0,1,0.0,1,0.944444,0.5,0.944444] area_under_roc_curve 0.976389 [1,0.9375,0.0,0.0,0.0,1,1,1,1,0.888889,1] area_under_roc_curve 0.723611 [0.625,0.9375,0.0,0.0,0.333333,0.944444,0.5,1,0.333333,0.0,1] area_under_roc_curve 0.599802 [0.8125,0.47619,0.0,0.0,0.0,0.277778,0.944444,0.388889,0.0,0.333333,1] area_under_roc_curve 0.920833 [0.9375,0.833333,0.0,0.0,0.0,1,0.0,1,0.944444,0.888889,1] area_under_roc_curve 0.869444 [0.96875,0.65625,0.0,0.0,0.0,1,0.5,1,0.944444,1,1] area_under_roc_curve 0.820139 [0.96875,0.9375,0.0,0.0,0.333333,0.777778,0.333333,1,0.944444,0.0,1] area_under_roc_curve 0.776984 [1,0.571429,0.0,0.0,0.777778,0.5,0.777778,0.0,0.0,0.0,1] area_under_roc_curve 0.601389 [1,0.8125,0.0,0.0,0.388889,0.166667,0.444444,0.222222,0.0,0.666667,0.5] area_under_roc_curve 0.741667 [1,0.625,0.0,0.0,0.388889,0.944444,1,0.333333,1,0.0,0.5] area_under_roc_curve 0.725694 [0.65625,0.6875,0.0,0.0,0.0,1,0.0,1,0.5,0.444444,0.8125] area_under_roc_curve 0.624306 [0.75,0.59375,0.5,0.0,0.0,0.777778,0.777778,0.222222,0.777778,0.0,0.5] area_under_roc_curve 0.5125 [0.375,0.6875,0.5,0.0,0.666667,0.666667,0.5,0.555556,0.0,0.0,0.111111] area_under_roc_curve 0.828571 [0.75,0.928571,0.0,0.0,0.0,1,1,0.0,1,0.722222,0.277778] area_under_roc_curve 0.682738 [0.928571,0.9375,0.0,0.0,0.333333,0.277778,0.0,0.277778,0.277778,0.0,1] area_under_roc_curve 0.748611 [0.9375,1,0.0,0.0,0.388889,1,0.944444,0.5,0.333333,0.0,0.444444] area_under_roc_curve 0.675 [0.96875,0.65625,0.0,0.0,0.388889,1,0.944444,0.0,0.388889,0.5,0.277778] area_under_roc_curve 0.759127 [0.928571,0.625,0.5,0.0,0.0,0.888889,1,0.0,0.722222,0.0,0.444444] area_under_roc_curve 0.774306 [0.96875,0.625,0.0,0.0,0.0,0.5,0.944444,1,0.944444,0.5,0.666667] area_under_roc_curve 0.588194 [0.4375,0.53125,0.0,0.944444,0.333333,0.222222,0.0,1,0.0,0.444444,1] area_under_roc_curve 0.629167 [0.6875,0.375,0.0,0.0,0.0,0.5,0.944444,1,0.444444,0.944444,0.333333] area_under_roc_curve 0.682639 [0.59375,0.875,0.0,0.0,0.277778,1,0.5,1,0.944444,0.0,0.166667] area_under_roc_curve 0.789583 [0.6875,0.59375,0.0,0.333333,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.477083 [0.46875,0.5,0.0,0.833333,0.0,0.444444,0.5,0.0,0.277778,0.0,0.277778] area_under_roc_curve 0.607143 [0.357143,1,0.0,0.0,0.388889,0.833333,0.0,0.333333,0.444444,0.0,1] area_under_roc_curve 0.886111 [0.9375,0.9375,0.0,0.0,0.888889,1,1,1,0.888889,0.0,0.333333] area_under_roc_curve 0.689683 [0.75,0.595238,0.0,0.0,0.0,0.777778,0.444444,0.0,1,0.388889,1] area_under_roc_curve 0.927083 [0.96875,0.75,0.0,0.944444,0.0,1,1,1,0.944444,0.0,0.944444] area_under_roc_curve 0.747222 [0.9375,0.9375,0.0,0.0,0.0,1,0.5,1,0.388889,0.333333,0.5] area_under_roc_curve 0.757639 [0.78125,0.8125,0.0,0.944444,0.0,1,0.0,0.777778,0.222222,0.5,0.944444] area_under_roc_curve 0.579167 [0.375,0.6875,0.5,0.0,0.0,1,0.666667,0.0,0.444444,0.5,0.555556] area_under_roc_curve 0.663889 [0.96875,0.65625,0.0,0.0,0.388889,0.944444,0.333333,0.333333,0.388889,0.0,1] area_under_roc_curve 0.766667 [0.875,0.625,0.0,0.833333,0.0,0.5,1,1,0.833333,0.0,0.5] area_under_roc_curve 0.845833 [0.9375,0.875,0.0,0.888889,0.0,0.444444,1,0.0,0.5,0.0,1] area_under_roc_curve 0.826389 [0.75,0.9375,0.5,0.0,0.0,1,0.944444,0.944444,1,0.0,0.5] area_under_roc_curve 0.793056 [1,0.9375,0.5,0.0,0.0,1,0.333333,0.777778,0.944444,0.0,0.5] area_under_roc_curve 0.5875 [0.9375,0.333333,0.5,0.0,0.0,0.833333,0.0,0.0,0.222222,0.444444,1] area_under_roc_curve 0.879167 [0.875,0.9375,0.0,0.833333,0.0,0.5,1,1,0.833333,0.0,1] area_under_roc_curve 0.766667 [0.75,0.75,0.0,0.0,0.0,0.5,0.944444,1,0.722222,0.5,1] area_under_roc_curve 0.608333 [0.59375,0.53125,0.5,0.0,0.0,1,0.0,0.333333,1,0.444444,0.555556] area_under_roc_curve 0.765542 [0.888889,0.392857,0.0,0.0,0.0,1,0.4375,0.0,1,0.0,1] area_under_roc_curve 0.678241 [0.722222,0.857143,0.0,0.0,0.0,0.8125,0.0,0.0,0.125,0.0,0.642857] area_under_roc_curve 0.769841 [0.928571,0.785714,0.0,0.0,0.0,0.5,0.0,1,0.75,0.75,0.5] area_under_roc_curve 0.750992 [0.857143,0.678571,0.5,0.0,0.375,1,0.0,0.0,0.8125,0.0,1] area_under_roc_curve 0.818452 [0.857143,0.607143,0.0,0.0,0.0,1,1,0.0,0.9375,0.0,0.75] area_under_roc_curve 0.75496 [1,0.678571,0.0,0.0,0.0,0.5,1,1,0.5,0.0,0.4375] area_under_roc_curve 0.82672 [0.678571,0.944444,0.0,0.0,0.0,0.875,0.0,0.0,0.9375,0.4375,1] area_under_roc_curve 0.635913 [0.785714,0.857143,0.0,0.0,0.0,0.25,0.4375,0.5,0.25,0.0,1] area_under_roc_curve 0.905754 [0.928571,0.928571,0.0,0.0,0.0,0.5,0.9375,1,1,0.0,1] area_under_roc_curve 0.819444 [0.428571,0.892857,0.0,0.0,0.0,0.9375,0.0,0.0,1,0.9375,0.928571] area_under_roc_curve 0.690476 [0.666667,0.857143,0.0,0.0,0.0,0.9375,0.9375,0.0,0.4375,0.0,0.1875] area_under_roc_curve 0.858796 [0.916667,0.722222,0.0,0.8125,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.739087 [0.5,0.607143,0.0,0.0,0.0,1,0.0,0.5,1,1,0.9375] area_under_roc_curve 0.634921 [0.357143,0.75,0.0,0.0,0.3125,1,0.0,0.9375,0.9375,0.0,0.3125] area_under_roc_curve 0.776786 [0.928571,0.785714,0.0,0.3125,0.0,1,0.3125,0.0,0.9375,0.0,1] area_under_roc_curve 0.789683 [0.928571,0.5,0.0,0.875,0.0,1,0.5,0.0,1,0.0,0.875] area_under_roc_curve 0.644841 [0.571429,0.392857,0.0,0.6875,0.0,0.5,0.0,0.6875,0.0,0.0,1] area_under_roc_curve 0.633929 [0.785714,0.535714,0.0,0.0,0.0,1,0.5,0.9375,0.3125,0.0,0.3125] area_under_roc_curve 0.514881 [0.285714,0.5,0.0,0.4375,0.0,1,0.9375,0.0,0.4375,0.0,0.25] area_under_roc_curve 0.834325 [0.785714,0.833333,0.0,0.0,0.0,0.5,0.9375,0.0,1,0.0,1] area_under_roc_curve 0.727183 [0.857143,0.571429,0.0,0.0,0.9375,1,1,0.0,0.25,0.0,0.5] area_under_roc_curve 0.62963 [0.5,0.555556,0.0,0.75,0.0,1,0.0,0.0,0.75,0.0,0.5] area_under_roc_curve 0.619048 [0.285714,0.666667,0.0,0.0,0.0,1,0.0,0.0,0.5,0.5,1] area_under_roc_curve 0.716931 [0.555556,0.642857,0.0,0.0,0.0,0.8125,0.0,1,0.6875,0.0,1] area_under_roc_curve 0.566468 [0.785714,0.857143,0.0,0.375,0.0,0.4375,0.375,0.0,0.3125,0.0,0.3125] area_under_roc_curve 0.854497 [1,0.777778,0.0,1,0.0,0.5,0.0,0.0,0.0,0.0,0.928571] area_under_roc_curve 0.780754 [0.5,0.857143,0.0,0.9375,0.0,1,0.0,0.8125,1,0.0,0.5625] area_under_roc_curve 0.794643 [1,0.857143,0.0,0.0,0.0,0.25,0.0,0.5,1,0.6875,1] area_under_roc_curve 0.625992 [0.535714,0.666667,0.0,0.8125,0.0,1,0.0,0.0,0.25,0.0,0.5] area_under_roc_curve 0.738426 [0.5,0.944444,0.0,0.0,0.0,0.3125,0.5,0.0,1,0.0,1] area_under_roc_curve 0.858135 [0.857143,0.785714,0.0,0.0,0.9375,1,0.5,1,0.0,0.0,1] area_under_roc_curve 0.82672 [0.928571,0.944444,0.0,0.0,0.0,1,0.0,0.0,0.375,0.5,0.875] area_under_roc_curve 0.643849 [0.678571,0.75,0.0,0.0,0.0,1,0.0,0.0,0.375,0.375,0.4375] area_under_roc_curve 0.78373 [0.666667,0.714286,0.0,0.0,0.0,1,0.0,0.75,0.875,0.0,1] area_under_roc_curve 0.694444 [0.5,0.75,0.0,0.0,0.0,1,1,0.0,0.3125,0.4375,1] area_under_roc_curve 0.756944 [1,0.916667,0.0,0.0,0.0,0.25,0.0,0.0,0.9375,0.5,0.375] area_under_roc_curve 0.701389 [0.857143,0.642857,0.0,0.0,0.0,0.5,0.5,0.9375,0.375,0.0,1] area_under_roc_curve 0.877976 [1,0.607143,0.0,0.0,0.0,1,0.0,1,1,1,0.6875] area_under_roc_curve 0.659722 [0.416667,0.75,0.0,0.0,0.0,1,0.0,0.0,0.9375,0.0,0.5] area_under_roc_curve 0.595899 [0.285714,0.472222,0.0,0.0,0.0,1,0.5,0.0,0.875,0.0,1] 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 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 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 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 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 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 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 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 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 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 0.385714 [0,0.285714,0,0,0,1,0,0,1,0,1] f_measure 0.76 [0.8,0.666667,0,0,0,0.666667,1,1,0,1,1] f_measure 0.757143 [0.857143,1,0,0,0,0,1,0,0,0,1] f_measure 0.6 [0,0.666667,0,0,0,0.666667,1,1,1,0,1] f_measure 0.45 [1,0.5,0,0,0,0,0,0,0,0,1] f_measure 0.396667 [0.5,0.6,0,0,0,0,0,0,0,0,0.666667] f_measure 0.586667 [0.4,0.5,0,0,0,1,0.666667,1,0,0,1] f_measure 0.447619 [0.571429,0.666667,0,0,0,0,0,0,0,0,0.666667] f_measure 0.806667 [1,0.8,0,0,0,1,0,0,0.666667,0,1] f_measure 0.45 [0.5,0.333333,0,0,0,0,0.666667,1,0.666667,0,0] f_measure 0.637143 [0.4,0.857143,0,0,0,1,0,0,1,0,1] f_measure 0.5 [0.666667,0.5,0,0,0,1,0.666667,0,0,0,1] f_measure 0.566667 [0.666667,0,0,0,0,0.666667,1,0,0,0,1] f_measure 0.506667 [0.8,0.4,0,0,0,1,0,0.666667,0,0,1] f_measure 0.257143 [0.285714,0,0,0,0,0,0,1,1,0,0] f_measure 0.686667 [0.8,0.4,0,0,0,0.666667,0,1,1,0,1] f_measure 0.366667 [0.666667,0,0,0,0,0,0.666667,1,0,0,0] f_measure 0.766667 [1,1,0,0,0,0.666667,0,0,1,0,1] f_measure 0.693333 [0.5,0.666667,0,0,0,1,0,1,1,0,0.8] f_measure 0.308889 [0.4,0.444444,0,0,0,0,0,1,0,0,0] f_measure 0.553333 [0.5,0.4,0,0,0,1,0,1,0.666667,0,0.666667] f_measure 0.86 [1,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.506667 [0.4,0.8,0,0,0,0.666667,0,1,0,0,1] f_measure 0.266667 [0,0.333333,0,0,0,0,0.666667,0,0,0,1] f_measure 0.766667 [0.8,0.8,0,0,0,1,0,1,0.666667,0,1] f_measure 0.7 [0.666667,0.5,0,0,0,1,0,1,0.666667,1,1] f_measure 0.56 [0.666667,0.8,0,0,0,0,0,1,0.666667,0,1] f_measure 0.55 [1,0.5,0,0,0,0,0,0,0,0,1] f_measure 0.314286 [1,0.571429,0,0,0,0,0,0,0,0,0] f_measure 0.566667 [1,0.5,0,0,0,0.666667,1,0,1,0,0] f_measure 0.314286 [0.5,0,0,0,0,0,0,1,0,0,0.571429] f_measure 0.137143 [0.4,0.285714,0,0,0,0,0,0,0,0,0] f_measure 0.088889 [0,0.444444,0,0,0,0,0,0,0,0,0] f_measure 0.690476 [0.666667,0.857143,0,0,0,1,1,0,1,0,0] f_measure 0.517143 [0.857143,0.8,0,0,0,0,0,0,0,0,1] f_measure 0.526667 [0.8,1,0,0,0,1,0.666667,0,0,0,0] f_measure 0.4 [0.666667,0.5,0,0,0,1,0.666667,0,0,0,0] f_measure 0.540476 [0.857143,0.666667,0,0,0,0.5,1,0,0,0,0] f_measure 0.446667 [0.666667,0.4,0,0,0,0,0.666667,1,0.666667,0,0] f_measure 0.28 [0,0.4,0,0,0,0,0,1,0,0,1] f_measure 0.333333 [0.5,0,0,0,0,0,0.666667,1,0,0.666667,0] f_measure 0.4 [0,0.666667,0,0,0,1,0,1,0.666667,0,0] f_measure 0.58 [0,0.4,0,0,0,1,1,1,1,0,1] f_measure 0.166667 [0.333333,0.333333,0,0,0,0,0,0,0,0,0] f_measure 0.34 [0,1,0,0,0,0.4,0,0,0,0,1] f_measure 0.643333 [0.666667,0.8,0,0,0,1,1,1,0.5,0,0] f_measure 0.4 [0.4,0.4,0,0,0,0,0,0,1,0,1] f_measure 0.666667 [0.666667,0.5,0,0,0,1,1,1,0.666667,0,0.666667] f_measure 0.52 [0.8,0.8,0,0,0,1,0,1,0,0,0] f_measure 0.380952 [0.5,0.571429,0,0,0,1,0,0,0,0,0.666667] f_measure 0.188889 [0,0.444444,0,0,0,1,0,0,0,0,0] f_measure 0.4 [0.666667,0.5,0,0,0,0.666667,0,0,0,0,1] f_measure 0.4 [0.666667,0.333333,0,0,0,0,1,1,0,0,0] f_measure 0.593333 [0.8,0.666667,0,0,0,0,1,0,0,0,1] f_measure 0.56 [0.666667,0.8,0,0,0,1,0,0.666667,1,0,0] f_measure 0.46 [1,0.8,0,0,0,1,0,0,0,0,0] f_measure 0.26 [0.8,0,0,0,0,0,0,0,0,0,1] f_measure 0.593333 [0.666667,0.8,0,0,0,0,1,1,0,0,1] f_measure 0.4 [0.5,0.5,0,0,0,0,0,1,0,0,1] f_measure 0.36 [0.4,0.4,0,0,0,1,0,0,1,0,0] f_measure 0.333333 [0.666667,0,0,0,0,0,0,0,0,0,1] f_measure 0.525926 [0.8,0.666667,0,0,0,0,0,0,0,0,0.5] f_measure 0.415873 [0.8,0.571429,0,0,0,0,0,1,0,0,0] f_measure 0.481481 [0.666667,0.5,0,0,0,1,0,0,0,0,1] f_measure 0.666667 [0.5,0.5,0,0,0,1,1,0,0.666667,0,0.666667] f_measure 0.518519 [1,0.333333,0,0,0,0,1,1,0,0,0] f_measure 0.655556 [0.666667,0.8,0,0,0,0.5,0,0,0.666667,0,1] f_measure 0.37037 [0.5,0.666667,0,0,0,0,0,0,0,0,1] f_measure 0.733333 [0.666667,0.8,0,0,0,0,0.666667,1,1,0,1] f_measure 0.474074 [0,0.5,0,0,0,0.666667,0,0,1,0,0.8] f_measure 0.222222 [0,0.666667,0,0,0,0,0.666667,0,0,0,0] f_measure 0.774603 [0.857143,0.8,0,0,0,1,0,0,0,0,1] f_measure 0.496296 [0,0.4,0,0,0,1,0,0,1,1,0.666667] f_measure 0.274074 [0,0.4,0,0,0,1,0,0.666667,0,0,0] f_measure 0.622222 [0.8,0.666667,0,0,0,1,0,0,0.666667,0,1] f_measure 0.488889 [0.8,0.4,0,0,0,1,0,0,1,0,0] f_measure 0.203704 [0,0.25,0,0,0,0,0,0,0,0,0.666667] f_measure 0.274074 [0,0.4,0,0,0,1,0,0.666667,0,0,0] f_measure 0.185185 [0,0,0,0,0,1,0.666667,0,0,0,0] f_measure 0.42328 [0.571429,0,0,0,0,0,0.666667,0,1,0,1] f_measure 0.37037 [0.666667,0,0,0,0,1,1,0,0,0,0] f_measure 0.285714 [0.285714,0.333333,0,0,0,1,0,0,0,0,0] f_measure 0.222222 [0,0.333333,0,0,0,0,0,0,0,0,1] f_measure 0.42963 [0.4,0.333333,0,0,0,0,0,1,0,0,1] f_measure 0.222222 [0.5,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.666667 [1,0.8,0,0,0,0,0,0,0,0,0.8] f_measure 0.481481 [0.5,0.666667,0,0,0,1,0,0,1,0,0] f_measure 0.592593 [1,0.666667,0,0,0,0,0,0,1,0,1] f_measure 0.375661 [0.333333,0.571429,0,0,0,1,0,0,0,0,0] f_measure 0.577778 [0.4,0.8,0,0,0,0,0,0,1,0,1] f_measure 0.592593 [0.666667,0.5,0,0,0,1,0,1,0,0,1] f_measure 0.611111 [0.8,0.8,0,0,0,1,0,0,0,0,0.5] f_measure 0.185185 [0.333333,0,0,0,0,1,0,0,0,0,0] f_measure 0.533333 [0.666667,0.4,0,0,0,1,0,0,0,0,1] f_measure 0.481481 [0,0.666667,0,0,0,1,1,0,0,0,1] f_measure 0.582011 [1,0.857143,0,0,0,0,0,0,0.666667,0,0] f_measure 0.444444 [0.666667,0.5,0,0,0,0,0,0.666667,0,0,1] f_measure 0.777778 [1,0.5,0,0,0,1,0,1,1,1,0] f_measure 0.540741 [0.4,0.666667,0,0,0,1,0,0,0.666667,0,0] f_measure 0.222222 [0,0,0,0,0,1,0,0,0,0,1] kappa 0.277108 kappa 0.767442 kappa 0.74026 kappa 0.651163 kappa 0.358974 kappa 0.324324 kappa 0.529412 kappa 0.358974 kappa 0.753086 kappa 0.404762 kappa 0.620253 kappa 0.52381 kappa 0.5 kappa 0.52381 kappa 0.186047 kappa 0.638554 kappa 0.310345 kappa 0.759036 kappa 0.647059 kappa 0.240506 kappa 0.52381 kappa 0.882353 kappa 0.52381 kappa 0.156627 kappa 0.759036 kappa 0.659091 kappa 0.54023 kappa 0.466667 kappa 0.277108 kappa 0.54023 kappa 0.268293 kappa 0.047619 kappa 0.058824 kappa 0.634146 kappa 0.5 kappa 0.534884 kappa 0.310345 kappa 0.506173 kappa 0.425287 kappa 0.176471 kappa 0.302326 kappa 0.418605 kappa 0.529412 kappa 0.012346 kappa 0.325843 kappa 0.651163 kappa 0.277108 kappa 0.655172 kappa 0.52381 kappa 0.39759 kappa 0.166667 kappa 0.325843 kappa 0.390244 kappa 0.62963 kappa 0.545455 kappa 0.431818 kappa 0.166667 kappa 0.638554 kappa 0.390244 kappa 0.285714 kappa 0.205882 kappa 0.428571 kappa 0.4375 kappa 0.454545 kappa 0.597015 kappa 0.454545 kappa 0.597015 kappa 0.328358 kappa 0.735294 kappa 0.454545 kappa 0.228571 kappa 0.704918 kappa 0.485714 kappa 0.205882 kappa 0.608696 kappa 0.462687 kappa 0.030769 kappa 0.228571 kappa 0.086957 kappa 0.462687 kappa 0.328358 kappa 0.114754 kappa 0.030769 kappa 0.296875 kappa 0.125 kappa 0.584615 kappa 0.454545 kappa 0.590909 kappa 0.25 kappa 0.462687 kappa 0.590909 kappa 0.584615 kappa 0.045455 kappa 0.428571 kappa 0.347826 kappa 0.571429 kappa 0.454545 kappa 0.735294 kappa 0.428571 kappa 0.059701 kb_relative_information_score 3.265814 kb_relative_information_score 7.226779 kb_relative_information_score 5.265015 kb_relative_information_score 6.359615 kb_relative_information_score 3.125177 kb_relative_information_score 3.161497 kb_relative_information_score 5.536551 kb_relative_information_score 3.604573 kb_relative_information_score 6.113504 kb_relative_information_score 4.333767 kb_relative_information_score 5.35896 kb_relative_information_score 4.929519 kb_relative_information_score 5.065242 kb_relative_information_score 4.994628 kb_relative_information_score 2.456891 kb_relative_information_score 5.986201 kb_relative_information_score 3.659717 kb_relative_information_score 6.125424 kb_relative_information_score 6.401819 kb_relative_information_score 2.583683 kb_relative_information_score 5.252586 kb_relative_information_score 7.887209 kb_relative_information_score 4.896794 kb_relative_information_score 2.226442 kb_relative_information_score 6.929083 kb_relative_information_score 6.82866 kb_relative_information_score 4.838904 kb_relative_information_score 3.771271 kb_relative_information_score 2.202945 kb_relative_information_score 5.003802 kb_relative_information_score 3.902193 kb_relative_information_score 0.958033 kb_relative_information_score 0.790652 kb_relative_information_score 5.52572 kb_relative_information_score 3.740795 kb_relative_information_score 4.387633 kb_relative_information_score 3.177009 kb_relative_information_score 4.266125 kb_relative_information_score 4.54772 kb_relative_information_score 2.722213 kb_relative_information_score 4.059007 kb_relative_information_score 4.195541 kb_relative_information_score 5.907311 kb_relative_information_score 0.952159 kb_relative_information_score 2.794296 kb_relative_information_score 6.409624 kb_relative_information_score 3.121871 kb_relative_information_score 7.285665 kb_relative_information_score 4.647947 kb_relative_information_score 3.722514 kb_relative_information_score 1.770534 kb_relative_information_score 2.909855 kb_relative_information_score 4.417913 kb_relative_information_score 5.734174 kb_relative_information_score 5.029441 kb_relative_information_score 3.678817 kb_relative_information_score 1.633541 kb_relative_information_score 5.962418 kb_relative_information_score 3.865705 kb_relative_information_score 2.923856 kb_relative_information_score 2.228688 kb_relative_information_score 3.155287 kb_relative_information_score 3.63826 kb_relative_information_score 3.931966 kb_relative_information_score 5.453395 kb_relative_information_score 4.142071 kb_relative_information_score 4.630387 kb_relative_information_score 2.507698 kb_relative_information_score 6.124901 kb_relative_information_score 4.753381 kb_relative_information_score 2.271443 kb_relative_information_score 4.991487 kb_relative_information_score 4.629193 kb_relative_information_score 2.369971 kb_relative_information_score 4.92301 kb_relative_information_score 3.913532 kb_relative_information_score 1.302229 kb_relative_information_score 2.292969 kb_relative_information_score 1.600876 kb_relative_information_score 3.815874 kb_relative_information_score 3.39701 kb_relative_information_score 2.051815 kb_relative_information_score 1.36241 kb_relative_information_score 3.167173 kb_relative_information_score 0.883761 kb_relative_information_score 4.982375 kb_relative_information_score 3.751909 kb_relative_information_score 4.170639 kb_relative_information_score 2.97387 kb_relative_information_score 3.515127 kb_relative_information_score 5.219533 kb_relative_information_score 4.187368 kb_relative_information_score 1.282224 kb_relative_information_score 3.504268 kb_relative_information_score 3.629842 kb_relative_information_score 3.924947 kb_relative_information_score 3.841469 kb_relative_information_score 6.356265 kb_relative_information_score 3.503133 kb_relative_information_score 1.547749 mean_absolute_error 0.112727 mean_absolute_error 0.062369 mean_absolute_error 0.073547 mean_absolute_error 0.071364 mean_absolute_error 0.10697 mean_absolute_error 0.102196 mean_absolute_error 0.076845 mean_absolute_error 0.098535 mean_absolute_error 0.053196 mean_absolute_error 0.1005 mean_absolute_error 0.077702 mean_absolute_error 0.084367 mean_absolute_error 0.085175 mean_absolute_error 0.081477 mean_absolute_error 0.127946 mean_absolute_error 0.067181 mean_absolute_error 0.109577 mean_absolute_error 0.054805 mean_absolute_error 0.063566 mean_absolute_error 0.120856 mean_absolute_error 0.081183 mean_absolute_error 0.052072 mean_absolute_error 0.085209 mean_absolute_error 0.133117 mean_absolute_error 0.044056 mean_absolute_error 0.062193 mean_absolute_error 0.088133 mean_absolute_error 0.096286 mean_absolute_error 0.12371 mean_absolute_error 0.085309 mean_absolute_error 0.106411 mean_absolute_error 0.144831 mean_absolute_error 0.154232 mean_absolute_error 0.073939 mean_absolute_error 0.095815 mean_absolute_error 0.093939 mean_absolute_error 0.116372 mean_absolute_error 0.095527 mean_absolute_error 0.096296 mean_absolute_error 0.130356 mean_absolute_error 0.113636 mean_absolute_error 0.101573 mean_absolute_error 0.078555 mean_absolute_error 0.150684 mean_absolute_error 0.117818 mean_absolute_error 0.064848 mean_absolute_error 0.113946 mean_absolute_error 0.061531 mean_absolute_error 0.085031 mean_absolute_error 0.104917 mean_absolute_error 0.136677 mean_absolute_error 0.116453 mean_absolute_error 0.098268 mean_absolute_error 0.075131 mean_absolute_error 0.092889 mean_absolute_error 0.100303 mean_absolute_error 0.138568 mean_absolute_error 0.072368 mean_absolute_error 0.100167 mean_absolute_error 0.119658 mean_absolute_error 0.118891 mean_absolute_error 0.09766 mean_absolute_error 0.091283 mean_absolute_error 0.084416 mean_absolute_error 0.065637 mean_absolute_error 0.091077 mean_absolute_error 0.076253 mean_absolute_error 0.11376 mean_absolute_error 0.059877 mean_absolute_error 0.084443 mean_absolute_error 0.12506 mean_absolute_error 0.069309 mean_absolute_error 0.092075 mean_absolute_error 0.128329 mean_absolute_error 0.070197 mean_absolute_error 0.096053 mean_absolute_error 0.139821 mean_absolute_error 0.130303 mean_absolute_error 0.147363 mean_absolute_error 0.102461 mean_absolute_error 0.109442 mean_absolute_error 0.122828 mean_absolute_error 0.137522 mean_absolute_error 0.104646 mean_absolute_error 0.144863 mean_absolute_error 0.072503 mean_absolute_error 0.101982 mean_absolute_error 0.086476 mean_absolute_error 0.108356 mean_absolute_error 0.095324 mean_absolute_error 0.071727 mean_absolute_error 0.080353 mean_absolute_error 0.137446 mean_absolute_error 0.093632 mean_absolute_error 0.101459 mean_absolute_error 0.083117 mean_absolute_error 0.094108 mean_absolute_error 0.057576 mean_absolute_error 0.094906 mean_absolute_error 0.136364 mean_prior_absolute_error 0.15446 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.151062 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.15463 mean_prior_absolute_error 0.151402 mean_prior_absolute_error 0.153951 mean_prior_absolute_error 0.153271 mean_prior_absolute_error 0.151912 mean_prior_absolute_error 0.153951 mean_prior_absolute_error 0.15446 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.153101 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.154121 mean_prior_absolute_error 0.154291 mean_prior_absolute_error 0.153951 mean_prior_absolute_error 0.1548 mean_prior_absolute_error 0.1565 mean_prior_absolute_error 0.153951 mean_prior_absolute_error 0.154121 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.15463 mean_prior_absolute_error 0.154121 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.152251 mean_prior_absolute_error 0.158199 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.15616 mean_prior_absolute_error 0.157519 mean_prior_absolute_error 0.158709 mean_prior_absolute_error 0.154121 mean_prior_absolute_error 0.15463 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.157689 mean_prior_absolute_error 0.1548 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.158879 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.15446 mean_prior_absolute_error 0.15463 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.154121 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.157689 mean_prior_absolute_error 0.157859 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.1565 mean_prior_absolute_error 0.157519 mean_prior_absolute_error 0.157519 mean_prior_absolute_error 0.15497 mean_prior_absolute_error 0.157349 mean_prior_absolute_error 0.157009 mean_prior_absolute_error 0.157859 mean_prior_absolute_error 0.152176 mean_prior_absolute_error 0.151232 mean_prior_absolute_error 0.155574 mean_prior_absolute_error 0.156896 mean_prior_absolute_error 0.154253 mean_prior_absolute_error 0.155197 mean_prior_absolute_error 0.152365 mean_prior_absolute_error 0.155197 mean_prior_absolute_error 0.155197 mean_prior_absolute_error 0.15463 mean_prior_absolute_error 0.152176 mean_prior_absolute_error 0.150288 mean_prior_absolute_error 0.155574 mean_prior_absolute_error 0.155952 mean_prior_absolute_error 0.155952 mean_prior_absolute_error 0.155952 mean_prior_absolute_error 0.155574 mean_prior_absolute_error 0.155197 mean_prior_absolute_error 0.155952 mean_prior_absolute_error 0.151987 mean_prior_absolute_error 0.155952 mean_prior_absolute_error 0.152742 mean_prior_absolute_error 0.152365 mean_prior_absolute_error 0.152176 mean_prior_absolute_error 0.155952 mean_prior_absolute_error 0.152365 mean_prior_absolute_error 0.155952 mean_prior_absolute_error 0.155574 mean_prior_absolute_error 0.152742 mean_prior_absolute_error 0.151987 mean_prior_absolute_error 0.156518 mean_prior_absolute_error 0.152365 mean_prior_absolute_error 0.152365 mean_prior_absolute_error 0.152176 mean_prior_absolute_error 0.155574 mean_prior_absolute_error 0.152365 mean_prior_absolute_error 0.155197 mean_prior_absolute_error 0.155574 mean_prior_absolute_error 0.148966 mean_prior_absolute_error 0.151987 number_of_instances 10 [2,3,0,1,0,1,0,1,1,0,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [3,3,0,0,0,1,1,0,1,0,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [2,3,0,0,0,1,1,1,0,1,1] number_of_instances 10 [3,3,0,0,0,1,0,0,1,1,1] number_of_instances 10 [3,2,0,0,0,1,1,1,1,0,1] number_of_instances 10 [2,3,0,0,0,1,0,0,1,1,2] number_of_instances 10 [3,3,1,0,0,1,0,0,1,0,1] number_of_instances 10 [3,2,0,0,0,1,1,1,1,0,1] number_of_instances 10 [2,3,0,1,0,1,0,1,1,0,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [3,2,0,0,0,1,1,0,1,0,2] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [2,3,0,0,0,1,0,1,1,1,1] number_of_instances 10 [3,2,0,0,0,1,0,1,1,1,1] number_of_instances 10 [3,2,0,0,0,1,1,1,1,0,1] number_of_instances 10 [2,3,0,0,1,1,0,0,1,1,1] number_of_instances 10 [2,2,0,0,1,1,0,1,1,0,2] number_of_instances 10 [3,2,0,0,0,1,1,1,1,0,1] number_of_instances 10 [2,3,0,0,0,1,0,1,1,1,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [2,2,0,0,1,1,1,1,1,0,1] number_of_instances 10 [2,3,0,0,0,1,1,1,0,1,1] number_of_instances 10 [2,3,0,0,0,1,0,1,1,1,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [2,2,0,0,1,1,1,1,1,0,1] number_of_instances 10 [3,3,0,0,1,1,1,0,0,0,1] number_of_instances 10 [2,2,0,0,1,1,1,1,0,1,1] number_of_instances 10 [2,2,0,0,1,1,1,1,1,0,1] number_of_instances 10 [2,2,0,0,0,1,0,1,1,1,2] number_of_instances 10 [2,2,1,0,0,1,1,1,1,0,1] number_of_instances 10 [2,2,1,0,1,1,1,1,0,0,1] number_of_instances 10 [2,3,0,0,0,1,1,0,1,1,1] number_of_instances 10 [3,2,0,0,1,1,0,1,1,0,1] number_of_instances 10 [2,2,0,0,1,1,1,1,1,0,1] number_of_instances 10 [2,2,0,0,1,1,1,0,1,1,1] number_of_instances 10 [3,2,1,0,0,1,1,0,1,0,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [2,2,0,1,1,1,0,1,0,1,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [2,2,0,0,1,1,1,1,1,0,1] number_of_instances 10 [2,2,0,1,0,1,1,1,1,0,1] number_of_instances 10 [2,3,0,1,0,1,1,0,1,0,1] number_of_instances 10 [3,2,0,0,1,1,0,1,1,0,1] number_of_instances 10 [2,2,0,0,1,1,1,1,1,0,1] number_of_instances 10 [2,3,0,0,0,1,1,0,1,1,1] number_of_instances 10 [2,2,0,1,0,1,1,1,1,0,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [2,2,0,1,0,1,0,1,1,1,1] number_of_instances 10 [2,2,1,0,0,1,1,0,1,1,1] number_of_instances 10 [2,2,0,0,1,1,1,1,1,0,1] number_of_instances 10 [2,2,0,1,0,1,1,1,1,0,1] number_of_instances 10 [2,2,0,1,0,1,1,0,1,0,2] number_of_instances 10 [2,2,1,0,0,1,1,1,1,0,1] number_of_instances 10 [2,2,1,0,0,1,1,1,1,0,1] number_of_instances 10 [2,3,1,0,0,1,0,0,1,1,1] number_of_instances 10 [2,2,0,1,0,1,1,1,1,0,1] number_of_instances 10 [2,2,0,0,0,1,1,1,1,1,1] number_of_instances 10 [2,2,1,0,0,1,0,1,1,1,1] number_of_instances 9 [3,2,0,0,0,1,1,0,1,0,1] number_of_instances 9 [3,2,0,0,0,1,0,0,1,0,2] number_of_instances 9 [2,2,0,0,0,1,0,1,1,1,1] number_of_instances 9 [2,2,1,0,1,1,0,0,1,0,1] number_of_instances 9 [2,2,0,0,0,1,1,0,1,0,2] number_of_instances 9 [2,2,0,0,0,1,1,1,1,0,1] number_of_instances 9 [2,3,0,0,0,1,0,0,1,1,1] number_of_instances 9 [2,2,0,0,0,1,1,1,1,0,1] number_of_instances 9 [2,2,0,0,0,1,1,1,1,0,1] number_of_instances 9 [2,2,0,0,0,1,0,0,1,1,2] number_of_instances 9 [3,2,0,0,0,1,1,0,1,0,1] number_of_instances 9 [3,3,0,1,0,1,0,0,0,0,1] number_of_instances 9 [2,2,0,0,0,1,0,1,1,1,1] number_of_instances 9 [2,2,0,0,1,1,0,1,1,0,1] number_of_instances 9 [2,2,0,1,0,1,1,0,1,0,1] number_of_instances 9 [2,2,0,1,0,1,1,0,1,0,1] number_of_instances 9 [2,2,0,1,0,1,0,1,0,0,2] number_of_instances 9 [2,2,0,0,0,1,1,1,1,0,1] number_of_instances 9 [2,2,0,1,0,1,1,0,1,0,1] number_of_instances 9 [2,3,0,0,0,1,1,0,1,0,1] number_of_instances 9 [2,2,0,0,1,1,1,0,1,0,1] number_of_instances 9 [2,3,0,1,0,1,0,0,1,0,1] number_of_instances 9 [2,3,0,0,0,1,0,0,1,1,1] number_of_instances 9 [3,2,0,0,0,1,0,1,1,0,1] number_of_instances 9 [2,2,0,1,0,1,1,0,1,0,1] number_of_instances 9 [2,3,0,1,0,1,0,0,0,0,2] number_of_instances 9 [2,2,0,1,0,1,0,1,1,0,1] number_of_instances 9 [2,2,0,0,0,1,0,1,1,1,1] number_of_instances 9 [2,3,0,1,0,1,0,0,1,0,1] number_of_instances 9 [2,3,0,0,0,1,1,0,1,0,1] number_of_instances 9 [2,2,0,0,1,1,1,1,0,0,1] number_of_instances 9 [2,3,0,0,0,1,0,0,1,1,1] number_of_instances 9 [2,3,0,0,0,1,0,0,1,1,1] number_of_instances 9 [3,2,0,0,0,1,0,1,1,0,1] number_of_instances 9 [2,2,0,0,0,1,1,0,1,1,1] number_of_instances 9 [2,3,0,0,0,1,0,0,1,1,1] number_of_instances 9 [2,2,0,0,0,1,1,1,1,0,1] number_of_instances 9 [2,2,0,0,0,1,0,1,1,1,1] number_of_instances 9 [3,3,0,0,0,1,0,0,1,0,1] number_of_instances 9 [2,3,0,0,0,1,1,0,1,0,1] precision 0.375 [0,0.25,0,0,0,1,0,0,1,0,1] precision 0.783333 [0.666667,1,0,0,0,0.5,1,1,0,1,1] precision 0.725 [0.75,1,0,0,0,0,1,0,0,0,1] precision 0.55 [0,0.5,0,0,0,0.5,1,1,1,0,1] precision 0.42 [1,0.4,0,0,0,0,0,0,0,0,1] precision 0.478571 [1,0.428571,0,0,0,0,0,0,0,0,0.5] precision 0.6 [0.5,0.5,0,0,0,1,0.5,1,0,0,1] precision 0.48 [0.4,0.666667,0,0,0,0,0,0,0,0,1] precision 0.85 [1,1,0,0,0,1,0,0,0.5,0,1] precision 0.55 [1,0.25,0,0,0,0,0.5,1,0.5,0,0] precision 0.591667 [0.333333,0.75,0,0,0,1,0,0,1,0,1] precision 0.45 [0.5,0.5,0,0,0,1,0.5,0,0,0,1] precision 0.55 [0.666667,0,0,0,0,0.5,1,0,0,0,1] precision 0.45 [0.666667,0.333333,0,0,0,1,0,0.5,0,0,1] precision 0.24 [0.2,0,0,0,0,0,0,1,1,0,0] precision 0.716667 [1,0.333333,0,0,0,0.5,0,1,1,0,1] precision 0.35 [0.666667,0,0,0,0,0,0.5,1,0,0,0] precision 0.75 [1,1,0,0,0,0.5,0,0,1,0,1] precision 0.733333 [0.5,1,0,0,0,1,0,1,1,0,0.666667] precision 0.307143 [0.5,0.285714,0,0,0,0,0,1,0,0,0] precision 0.55 [0.5,0.5,0,0,0,1,0,1,0.5,0,0.5] precision 0.833333 [1,0.666667,0,0,0,1,1,1,1,0,1] precision 0.45 [0.333333,0.666667,0,0,0,0.5,0,1,0,0,1] precision 0.25 [0,0.333333,0,0,0,0,0.5,0,0,0,1] precision 0.783333 [0.666667,1,0,0,0,1,0,1,0.5,0,1] precision 0.75 [1,0.5,0,0,0,1,0,1,0.5,1,1] precision 0.583333 [1,0.666667,0,0,0,0,0,1,0.5,0,1] precision 0.52 [1,0.4,0,0,0,0,0,0,0,0,1] precision 0.28 [1,0.4,0,0,0,0,0,0,0,0,0] precision 0.55 [1,0.5,0,0,0,0.5,1,0,1,0,0] precision 0.28 [0.5,0,0,0,0,0,0,1,0,0,0.4] precision 0.106667 [0.333333,0.2,0,0,0,0,0,0,0,0,0] precision 0.057143 [0,0.285714,0,0,0,0,0,0,0,0,0] precision 0.725 [1,0.75,0,0,0,1,1,0,1,0,0] precision 0.458333 [0.75,0.666667,0,0,0,0,0,0,0,0,1] precision 0.483333 [0.666667,1,0,0,0,1,0.5,0,0,0,0] precision 0.45 [1,0.5,0,0,0,1,0.5,0,0,0,0] precision 0.558333 [0.75,1,0,0,0,0.333333,1,0,0,0,0] precision 0.466667 [1,0.333333,0,0,0,0,0.5,1,0.5,0,0] precision 0.266667 [0,0.333333,0,0,0,0,0,1,0,0,1] precision 0.3 [0.5,0,0,0,0,0,0.5,1,0,0.5,0] precision 0.35 [0,0.5,0,0,0,1,0,1,0.5,0,0] precision 0.566667 [0,0.333333,0,0,0,1,1,1,1,0,1] precision 0.15 [0.25,0.333333,0,0,0,0,0,0,0,0,0] precision 0.325 [0,1,0,0,0,0.25,0,0,0,0,1] precision 0.666667 [1,0.666667,0,0,0,1,1,1,0.333333,0,0] precision 0.416667 [0.333333,0.5,0,0,0,0,0,0,1,0,1] precision 0.7 [1,0.5,0,0,0,1,1,1,0.5,0,0.5] precision 0.466667 [0.666667,0.666667,0,0,0,1,0,1,0,0,0] precision 0.33 [0.5,0.4,0,0,0,1,0,0,0,0,0.5] precision 0.157143 [0,0.285714,0,0,0,1,0,0,0,0,0] precision 0.45 [1,0.5,0,0,0,0.5,0,0,0,0,1] precision 0.35 [0.5,0.25,0,0,0,0,1,1,0,0,0] precision 0.533333 [0.666667,0.5,0,0,0,0,1,0,0,0,1] precision 0.583333 [1,0.666667,0,0,0,1,0,0.5,1,0,0] precision 0.433333 [1,0.666667,0,0,0,1,0,0,0,0,0] precision 0.233333 [0.666667,0,0,0,0,0,0,0,0,0,1] precision 0.533333 [0.5,0.666667,0,0,0,0,1,1,0,0,1] precision 0.366667 [0.5,0.333333,0,0,0,0,0,1,0,0,1] precision 0.333333 [0.333333,0.333333,0,0,0,1,0,0,1,0,0] precision 0.333333 [0.666667,0,0,0,0,0,0,0,0,0,1] precision 0.555556 [1,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.348148 [0.666667,0.4,0,0,0,0,0,1,0,0,0] precision 0.444444 [0.5,0.5,0,0,0,1,0,0,0,0,1] precision 0.722222 [0.5,0.5,0,0,0,1,1,0,0.5,0,1] precision 0.5 [1,0.25,0,0,0,0,1,1,0,0,0] precision 0.759259 [1,1,0,0,0,0.333333,0,0,0.5,0,1] precision 0.333333 [0.5,0.5,0,0,0,0,0,0,0,0,1] precision 0.759259 [1,0.666667,0,0,0,0,0.5,1,1,0,1] precision 0.425926 [0,0.5,0,0,0,0.5,0,0,1,0,0.666667] precision 0.166667 [0,0.5,0,0,0,0,0.5,0,0,0,0] precision 0.805556 [0.75,1,0,0,0,1,0,0,0,0,1] precision 0.462963 [0,0.333333,0,0,0,1,0,0,1,1,0.5] precision 0.240741 [0,0.333333,0,0,0,1,0,0.5,0,0,0] precision 0.648148 [0.666667,1,0,0,0,1,0,0,0.5,0,1] precision 0.444444 [0.666667,0.333333,0,0,0,1,0,0,1,0,0] precision 0.259259 [0,0.166667,0,0,0,0,0,0,0,0,1] precision 0.240741 [0,0.333333,0,0,0,1,0,0.5,0,0,0] precision 0.166667 [0,0,0,0,0,1,0.5,0,0,0,0] precision 0.366667 [0.4,0,0,0,0,0,0.5,0,1,0,1] precision 0.333333 [0.5,0,0,0,0,1,1,0,0,0,0] precision 0.266667 [0.2,0.333333,0,0,0,1,0,0,0,0,0] precision 0.222222 [0,0.333333,0,0,0,0,0,0,0,0,1] precision 0.444444 [0.5,0.25,0,0,0,0,0,1,0,0,1] precision 0.222222 [0.5,0.5,0,0,0,0,0,0,0,0,0] precision 0.703704 [1,1,0,0,0,0,0,0,0,0,0.666667] precision 0.444444 [0.5,0.5,0,0,0,1,0,0,1,0,0] precision 0.555556 [1,0.5,0,0,0,0,0,0,1,0,1] precision 0.333333 [0.25,0.5,0,0,0,1,0,0,0,0,0] precision 0.62963 [0.333333,1,0,0,0,0,0,0,1,0,1] precision 0.555556 [0.5,0.5,0,0,0,1,0,1,0,0,1] precision 0.62963 [0.666667,1,0,0,0,1,0,0,0,0,0.333333] precision 0.166667 [0.25,0,0,0,0,1,0,0,0,0,0] precision 0.518519 [0.666667,0.333333,0,0,0,1,0,0,0,0,1] precision 0.555556 [0,1,0,0,0,1,1,0,0,0,1] precision 0.527778 [1,0.75,0,0,0,0,0,0,0.5,0,0] precision 0.388889 [0.5,0.5,0,0,0,0,0,0.5,0,0,1] precision 0.777778 [1,0.5,0,0,0,1,0,1,1,1,0] precision 0.555556 [0.5,0.666667,0,0,0,1,0,0,0.5,0,0] precision 0.222222 [0,0,0,0,0,1,0,0,0,0,1] predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.3 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.3 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.3 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.2 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.3 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.3 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.333333 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.222222 predictive_accuracy 0.333333 predictive_accuracy 0.222222 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.333333 predictive_accuracy 0.222222 predictive_accuracy 0.444444 predictive_accuracy 0.222222 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.222222 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.222222 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 recall 0.4 [0,0.333333,0,0,0,1,0,0,1,0,1] recall 0.8 [1,0.5,0,0,0,1,1,1,0,1,1] recall 0.8 [1,1,0,0,0,0,1,0,0,0,1] recall 0.7 [0,1,0,0,0,1,1,1,1,0,1] recall 0.5 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.5 [0.333333,1,0,0,0,0,0,0,0,0,1] recall 0.6 [0.333333,0.5,0,0,0,1,1,1,0,0,1] recall 0.5 [1,0.666667,0,0,0,0,0,0,0,0,0.5] recall 0.8 [1,0.666667,0,0,0,1,0,0,1,0,1] recall 0.5 [0.333333,0.5,0,0,0,0,1,1,1,0,0] recall 0.7 [0.5,1,0,0,0,1,0,0,1,0,1] recall 0.6 [1,0.5,0,0,0,1,1,0,0,0,1] recall 0.6 [0.666667,0,0,0,0,1,1,0,0,0,1] recall 0.6 [1,0.5,0,0,0,1,0,1,0,0,1] recall 0.3 [0.5,0,0,0,0,0,0,1,1,0,0] recall 0.7 [0.666667,0.5,0,0,0,1,0,1,1,0,1] recall 0.4 [0.666667,0,0,0,0,0,1,1,0,0,0] recall 0.8 [1,1,0,0,0,1,0,0,1,0,1] recall 0.7 [0.5,0.5,0,0,0,1,0,1,1,0,1] recall 0.4 [0.333333,1,0,0,0,0,0,1,0,0,0] recall 0.6 [0.5,0.333333,0,0,0,1,0,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.6 [0.5,1,0,0,0,1,0,1,0,0,1] recall 0.3 [0,0.333333,0,0,0,0,1,0,0,0,1] recall 0.8 [1,0.666667,0,0,0,1,0,1,1,0,1] recall 0.7 [0.5,0.5,0,0,0,1,0,1,1,1,1] recall 0.6 [0.5,1,0,0,0,0,0,1,1,0,1] recall 0.6 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.4 [1,1,0,0,0,0,0,0,0,0,0] recall 0.6 [1,0.5,0,0,0,1,1,0,1,0,0] recall 0.4 [0.5,0,0,0,0,0,0,1,0,0,1] recall 0.2 [0.5,0.5,0,0,0,0,0,0,0,0,0] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.7 [0.5,1,0,0,0,1,1,0,1,0,0] recall 0.6 [1,1,0,0,0,0,0,0,0,0,1] recall 0.6 [1,1,0,0,0,1,1,0,0,0,0] recall 0.4 [0.5,0.5,0,0,0,1,1,0,0,0,0] recall 0.6 [1,0.5,0,0,0,1,1,0,0,0,0] recall 0.5 [0.5,0.5,0,0,0,0,1,1,1,0,0] recall 0.3 [0,0.5,0,0,0,0,0,1,0,0,1] recall 0.4 [0.5,0,0,0,0,0,1,1,0,1,0] recall 0.5 [0,1,0,0,0,1,0,1,1,0,0] recall 0.6 [0,0.5,0,0,0,1,1,1,1,0,1] recall 0.2 [0.5,0.333333,0,0,0,0,0,0,0,0,0] recall 0.4 [0,1,0,0,0,1,0,0,0,0,1] recall 0.7 [0.5,1,0,0,0,1,1,1,1,0,0] recall 0.4 [0.5,0.333333,0,0,0,0,0,0,1,0,1] recall 0.7 [0.5,0.5,0,0,0,1,1,1,1,0,1] recall 0.6 [1,1,0,0,0,1,0,1,0,0,0] recall 0.5 [0.5,1,0,0,0,1,0,0,0,0,1] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.4 [0.5,0.5,0,0,0,1,0,0,0,0,1] recall 0.5 [1,0.5,0,0,0,0,1,1,0,0,0] recall 0.7 [1,1,0,0,0,0,1,0,0,0,1] recall 0.6 [0.5,1,0,0,0,1,0,1,1,0,0] recall 0.5 [1,1,0,0,0,1,0,0,0,0,0] recall 0.3 [1,0,0,0,0,0,0,0,0,0,1] recall 0.7 [1,1,0,0,0,0,1,1,0,0,1] recall 0.5 [0.5,1,0,0,0,0,0,1,0,0,1] recall 0.4 [0.5,0.5,0,0,0,1,0,0,1,0,0] recall 0.333333 [0.666667,0,0,0,0,0,0,0,0,0,1] recall 0.555556 [0.666667,1,0,0,0,0,0,0,0,0,0.5] recall 0.555556 [1,1,0,0,0,0,0,1,0,0,0] recall 0.555556 [1,0.5,0,0,0,1,0,0,0,0,1] recall 0.666667 [0.5,0.5,0,0,0,1,1,0,1,0,0.5] recall 0.555556 [1,0.5,0,0,0,0,1,1,0,0,0] recall 0.666667 [0.5,0.666667,0,0,0,1,0,0,1,0,1] recall 0.444444 [0.5,1,0,0,0,0,0,0,0,0,1] recall 0.777778 [0.5,1,0,0,0,0,1,1,1,0,1] recall 0.555556 [0,0.5,0,0,0,1,0,0,1,0,1] recall 0.333333 [0,1,0,0,0,0,1,0,0,0,0] recall 0.777778 [1,0.666667,0,0,0,1,0,0,0,0,1] recall 0.555556 [0,0.5,0,0,0,1,0,0,1,1,1] recall 0.333333 [0,0.5,0,0,0,1,0,1,0,0,0] recall 0.666667 [1,0.5,0,0,0,1,0,0,1,0,1] recall 0.555556 [1,0.5,0,0,0,1,0,0,1,0,0] recall 0.222222 [0,0.5,0,0,0,0,0,0,0,0,0.5] recall 0.333333 [0,0.5,0,0,0,1,0,1,0,0,0] recall 0.222222 [0,0,0,0,0,1,1,0,0,0,0] recall 0.555556 [1,0,0,0,0,0,1,0,1,0,1] recall 0.444444 [1,0,0,0,0,1,1,0,0,0,0] recall 0.333333 [0.5,0.333333,0,0,0,1,0,0,0,0,0] recall 0.222222 [0,0.333333,0,0,0,0,0,0,0,0,1] recall 0.444444 [0.333333,0.5,0,0,0,0,0,1,0,0,1] recall 0.222222 [0.5,0.5,0,0,0,0,0,0,0,0,0] recall 0.666667 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.555556 [0.5,1,0,0,0,1,0,0,1,0,0] recall 0.666667 [1,1,0,0,0,0,0,0,1,0,1] recall 0.444444 [0.5,0.666667,0,0,0,1,0,0,0,0,0] recall 0.555556 [0.5,0.666667,0,0,0,0,0,0,1,0,1] recall 0.666667 [1,0.5,0,0,0,1,0,1,0,0,1] recall 0.666667 [1,0.666667,0,0,0,1,0,0,0,0,1] recall 0.222222 [0.5,0,0,0,0,1,0,0,0,0,0] recall 0.555556 [0.666667,0.5,0,0,0,1,0,0,0,0,1] recall 0.444444 [0,0.5,0,0,0,1,1,0,0,0,1] recall 0.666667 [1,1,0,0,0,0,0,0,1,0,0] recall 0.555556 [1,0.5,0,0,0,0,0,1,0,0,1] recall 0.777778 [1,0.5,0,0,0,1,0,1,1,1,0] recall 0.555556 [0.333333,0.666667,0,0,0,1,0,0,1,0,0] recall 0.222222 [0,0,0,0,0,1,0,0,0,0,1] relative_absolute_error 0.729813 relative_absolute_error 0.397232 relative_absolute_error 0.486869 relative_absolute_error 0.454518 relative_absolute_error 0.691777 relative_absolute_error 0.674997 relative_absolute_error 0.499156 relative_absolute_error 0.642883 relative_absolute_error 0.350174 relative_absolute_error 0.652803 relative_absolute_error 0.503054 relative_absolute_error 0.53734 relative_absolute_error 0.556333 relative_absolute_error 0.518933 relative_absolute_error 0.830169 relative_absolute_error 0.435418 relative_absolute_error 0.711767 relative_absolute_error 0.354038 relative_absolute_error 0.406174 relative_absolute_error 0.785029 relative_absolute_error 0.526751 relative_absolute_error 0.331648 relative_absolute_error 0.541529 relative_absolute_error 0.860871 relative_absolute_error 0.285854 relative_absolute_error 0.396113 relative_absolute_error 0.560112 relative_absolute_error 0.632417 relative_absolute_error 0.781989 relative_absolute_error 0.542165 relative_absolute_error 0.681427 relative_absolute_error 0.919448 relative_absolute_error 0.971794 relative_absolute_error 0.47975 relative_absolute_error 0.619641 relative_absolute_error 0.597012 relative_absolute_error 0.737981 relative_absolute_error 0.617096 relative_absolute_error 0.613316 relative_absolute_error 0.820477 relative_absolute_error 0.723755 relative_absolute_error 0.645529 relative_absolute_error 0.499239 relative_absolute_error 0.97555 relative_absolute_error 0.761934 relative_absolute_error 0.412131 relative_absolute_error 0.739329 relative_absolute_error 0.391049 relative_absolute_error 0.541565 relative_absolute_error 0.665341 relative_absolute_error 0.865819 relative_absolute_error 0.740094 relative_absolute_error 0.624524 relative_absolute_error 0.480072 relative_absolute_error 0.5897 relative_absolute_error 0.636768 relative_absolute_error 0.894155 relative_absolute_error 0.45992 relative_absolute_error 0.637965 relative_absolute_error 0.758007 relative_absolute_error 0.781272 relative_absolute_error 0.645766 relative_absolute_error 0.586749 relative_absolute_error 0.538035 relative_absolute_error 0.425517 relative_absolute_error 0.586851 relative_absolute_error 0.500467 relative_absolute_error 0.733004 relative_absolute_error 0.385815 relative_absolute_error 0.546094 relative_absolute_error 0.821813 relative_absolute_error 0.461175 relative_absolute_error 0.591837 relative_absolute_error 0.822874 relative_absolute_error 0.450119 relative_absolute_error 0.615914 relative_absolute_error 0.898741 relative_absolute_error 0.839599 relative_absolute_error 0.944922 relative_absolute_error 0.674146 relative_absolute_error 0.701769 relative_absolute_error 0.804153 relative_absolute_error 0.902587 relative_absolute_error 0.687667 relative_absolute_error 0.928895 relative_absolute_error 0.47585 relative_absolute_error 0.653933 relative_absolute_error 0.555849 relative_absolute_error 0.709406 relative_absolute_error 0.627182 relative_absolute_error 0.458268 relative_absolute_error 0.527372 relative_absolute_error 0.902084 relative_absolute_error 0.615286 relative_absolute_error 0.652157 relative_absolute_error 0.545512 relative_absolute_error 0.606377 relative_absolute_error 0.370085 relative_absolute_error 0.637098 relative_absolute_error 0.897205 root_mean_prior_squared_error 0.27636 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.270142 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.276668 root_mean_prior_squared_error 0.27077 root_mean_prior_squared_error 0.275437 root_mean_prior_squared_error 0.2742 root_mean_prior_squared_error 0.27171 root_mean_prior_squared_error 0.275437 root_mean_prior_squared_error 0.27636 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.27389 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.275745 root_mean_prior_squared_error 0.276053 root_mean_prior_squared_error 0.275437 root_mean_prior_squared_error 0.276975 root_mean_prior_squared_error 0.280025 root_mean_prior_squared_error 0.275437 root_mean_prior_squared_error 0.275745 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.276668 root_mean_prior_squared_error 0.275745 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.272334 root_mean_prior_squared_error 0.283043 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.279418 root_mean_prior_squared_error 0.28184 root_mean_prior_squared_error 0.283942 root_mean_prior_squared_error 0.275745 root_mean_prior_squared_error 0.276668 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.282141 root_mean_prior_squared_error 0.276975 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.284241 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.27636 root_mean_prior_squared_error 0.276668 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.275745 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.282141 root_mean_prior_squared_error 0.282442 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.280025 root_mean_prior_squared_error 0.28184 root_mean_prior_squared_error 0.28184 root_mean_prior_squared_error 0.277281 root_mean_prior_squared_error 0.281538 root_mean_prior_squared_error 0.280934 root_mean_prior_squared_error 0.282442 root_mean_prior_squared_error 0.272196 root_mean_prior_squared_error 0.270456 root_mean_prior_squared_error 0.278368 root_mean_prior_squared_error 0.280732 root_mean_prior_squared_error 0.275984 root_mean_prior_squared_error 0.277689 root_mean_prior_squared_error 0.272542 root_mean_prior_squared_error 0.277689 root_mean_prior_squared_error 0.277689 root_mean_prior_squared_error 0.276668 root_mean_prior_squared_error 0.272196 root_mean_prior_squared_error 0.268705 root_mean_prior_squared_error 0.278368 root_mean_prior_squared_error 0.279046 root_mean_prior_squared_error 0.279046 root_mean_prior_squared_error 0.279046 root_mean_prior_squared_error 0.278368 root_mean_prior_squared_error 0.277689 root_mean_prior_squared_error 0.279046 root_mean_prior_squared_error 0.271849 root_mean_prior_squared_error 0.279046 root_mean_prior_squared_error 0.273234 root_mean_prior_squared_error 0.272542 root_mean_prior_squared_error 0.272196 root_mean_prior_squared_error 0.279046 root_mean_prior_squared_error 0.272542 root_mean_prior_squared_error 0.279046 root_mean_prior_squared_error 0.278368 root_mean_prior_squared_error 0.273234 root_mean_prior_squared_error 0.271849 root_mean_prior_squared_error 0.280059 root_mean_prior_squared_error 0.272542 root_mean_prior_squared_error 0.272542 root_mean_prior_squared_error 0.272196 root_mean_prior_squared_error 0.278368 root_mean_prior_squared_error 0.272542 root_mean_prior_squared_error 0.277689 root_mean_prior_squared_error 0.278368 root_mean_prior_squared_error 0.266235 root_mean_prior_squared_error 0.271849 root_mean_squared_error 0.301656 root_mean_squared_error 0.187967 root_mean_squared_error 0.205919 root_mean_squared_error 0.209068 root_mean_squared_error 0.293727 root_mean_squared_error 0.278251 root_mean_squared_error 0.257089 root_mean_squared_error 0.270051 root_mean_squared_error 0.19293 root_mean_squared_error 0.280554 root_mean_squared_error 0.214054 root_mean_squared_error 0.252417 root_mean_squared_error 0.247876 root_mean_squared_error 0.244075 root_mean_squared_error 0.322108 root_mean_squared_error 0.215882 root_mean_squared_error 0.311601 root_mean_squared_error 0.193561 root_mean_squared_error 0.223003 root_mean_squared_error 0.288257 root_mean_squared_error 0.248648 root_mean_squared_error 0.135187 root_mean_squared_error 0.251379 root_mean_squared_error 0.330812 root_mean_squared_error 0.182328 root_mean_squared_error 0.218452 root_mean_squared_error 0.25504 root_mean_squared_error 0.235492 root_mean_squared_error 0.315492 root_mean_squared_error 0.255942 root_mean_squared_error 0.284561 root_mean_squared_error 0.345134 root_mean_squared_error 0.348848 root_mean_squared_error 0.230327 root_mean_squared_error 0.258847 root_mean_squared_error 0.259205 root_mean_squared_error 0.308282 root_mean_squared_error 0.25608 root_mean_squared_error 0.281224 root_mean_squared_error 0.327565 root_mean_squared_error 0.314807 root_mean_squared_error 0.273213 root_mean_squared_error 0.255377 root_mean_squared_error 0.356657 root_mean_squared_error 0.327725 root_mean_squared_error 0.212854 root_mean_squared_error 0.312491 root_mean_squared_error 0.201014 root_mean_squared_error 0.263779 root_mean_squared_error 0.271285 root_mean_squared_error 0.320149 root_mean_squared_error 0.320727 root_mean_squared_error 0.270367 root_mean_squared_error 0.220244 root_mean_squared_error 0.253673 root_mean_squared_error 0.275485 root_mean_squared_error 0.334365 root_mean_squared_error 0.212159 root_mean_squared_error 0.269112 root_mean_squared_error 0.304607 root_mean_squared_error 0.319931 root_mean_squared_error 0.262612 root_mean_squared_error 0.258108 root_mean_squared_error 0.275428 root_mean_squared_error 0.227486 root_mean_squared_error 0.260191 root_mean_squared_error 0.230058 root_mean_squared_error 0.293729 root_mean_squared_error 0.190844 root_mean_squared_error 0.263568 root_mean_squared_error 0.320803 root_mean_squared_error 0.197734 root_mean_squared_error 0.266844 root_mean_squared_error 0.310776 root_mean_squared_error 0.230123 root_mean_squared_error 0.260368 root_mean_squared_error 0.326026 root_mean_squared_error 0.325522 root_mean_squared_error 0.353938 root_mean_squared_error 0.251635 root_mean_squared_error 0.290416 root_mean_squared_error 0.276778 root_mean_squared_error 0.340037 root_mean_squared_error 0.283319 root_mean_squared_error 0.324725 root_mean_squared_error 0.241627 root_mean_squared_error 0.258959 root_mean_squared_error 0.233333 root_mean_squared_error 0.301706 root_mean_squared_error 0.26137 root_mean_squared_error 0.222885 root_mean_squared_error 0.233947 root_mean_squared_error 0.342328 root_mean_squared_error 0.248369 root_mean_squared_error 0.292385 root_mean_squared_error 0.237071 root_mean_squared_error 0.263896 root_mean_squared_error 0.196328 root_mean_squared_error 0.275876 root_mean_squared_error 0.346439 root_relative_squared_error 1.091532 root_relative_squared_error 0.66908 root_relative_squared_error 0.762261 root_relative_squared_error 0.74419 root_relative_squared_error 1.061658 root_relative_squared_error 1.027627 root_relative_squared_error 0.933388 root_relative_squared_error 0.984868 root_relative_squared_error 0.71006 root_relative_squared_error 1.01858 root_relative_squared_error 0.774548 root_relative_squared_error 0.898493 root_relative_squared_error 0.905021 root_relative_squared_error 0.868797 root_relative_squared_error 1.168138 root_relative_squared_error 0.782032 root_relative_squared_error 1.131298 root_relative_squared_error 0.698839 root_relative_squared_error 0.796369 root_relative_squared_error 1.046546 root_relative_squared_error 0.901731 root_relative_squared_error 0.481206 root_relative_squared_error 0.892875 root_relative_squared_error 1.1957 root_relative_squared_error 0.661222 root_relative_squared_error 0.777592 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