255004 2 Joaquin Vanschoren 4648 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2033 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 20 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 20 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 1109 lymphoma_11classes https://www.openml.org/data/download/53992/lymphoma_11classes.arff -1 851728 description https://api.openml.org/data/download/851728/weka_generated_run7070661533967392850.xml -1 851731 model_readable https://api.openml.org/data/download/851731/WekaModel_weka.classifiers.meta.Bagging4608446314041982177.model -1 851730 model_serialized https://api.openml.org/data/download/851730/WekaSerialized_weka.classifiers.meta.Bagging5428824934786591715.model -1 851729 predictions https://api.openml.org/data/download/851729/weka_generated_predictions6522580731593005940.arff area_under_roc_curve 0.936828 [0.943851,0.941736,0.137368,0.941223,0.325824,0.986674,0.992611,0.93787,0.98493,0.889674,0.996973] average_cost 0 f_measure 0.694719 [0.754639,0.748092,0,0,0,0.836735,0.884956,0.27027,0.834225,0.085106,0.885246] kappa 0.682241 kb_relative_information_score 454.279478 mean_absolute_error 0.106286 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 0.6902 [0.690566,0.666667,0,0,0,0.854167,0.943396,0.714286,0.804124,0.285714,0.80597] predictive_accuracy 0.738542 prior_entropy 3.089168 recall 0.738542 [0.831818,0.852174,0,0,0,0.82,0.833333,0.166667,0.866667,0.05,0.981818] relative_absolute_error 0.68516 root_mean_prior_squared_error 0.277562 root_mean_squared_error 0.209429 root_relative_squared_error 0.754529 scimark_benchmark 1168.326824 [731.9515488366924, 801.5619687338865, 441.6873000935232, 1103.299696955527, 2763.133603774279] total_cost 0 usercpu_time_millis 3240 usercpu_time_millis_testing 10 usercpu_time_millis_training 3230 area_under_roc_curve 0.958929 [0.9375,0.904762,0.0,1,0.0,1,0.0,1,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.977778 [1,1,0.0,0.0,0.0,1,1,0.777778,1,1,1] area_under_roc_curve 0.971429 [1,0.904762,0.0,0.0,0.0,1,1,1,0.0,1,1] area_under_roc_curve 0.977778 [1,1,0.0,0.0,0.0,1,0.0,0.0,0.777778,1,1] area_under_roc_curve 0.977778 [1,1,0.0,0.0,0.0,1,1,0.777778,1,0.0,1] area_under_roc_curve 0.976389 [0.9375,1,0.0,0.0,0.0,1,0.0,0.0,1,0.888889,1] area_under_roc_curve 0.921429 [1,0.904762,0.5,0.0,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.949603 [0.875,0.952381,0.0,1,0.0,1,0.0,0.888889,1,0.0,1] area_under_roc_curve 0.977778 [1,1,0.0,0.0,0.0,1,1,1,1,0.777778,1] area_under_roc_curve 0.935317 [0.904762,0.875,0.0,0.0,0.0,1,1,0.0,0.888889,0.0,1] area_under_roc_curve 0.95 [1,0.75,0.0,0.0,0.0,1,1,1,1,1,1] area_under_roc_curve 0.839683 [1,0.761905,0.0,0.0,0.0,1,0.0,0.333333,1,0.888889,0.888889] area_under_roc_curve 0.985714 [0.952381,1,0.0,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.913492 [0.952381,0.75,0.0,0.0,0.0,1,1,0.777778,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,1,1,0.0,0.0,1,1,1] area_under_roc_curve 0.933333 [1,1,0.0,0.0,0.444444,0.888889,0.0,1,1,0.0,1] area_under_roc_curve 0.985714 [0.952381,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.988889 [1,1,0.0,0.0,0.0,1,0.0,1,1,0.888889,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,0.777778,0.666667,1] area_under_roc_curve 0.905556 [1,1,0.0,0.0,0.166667,1,0.888889,1,1,0.0,1] area_under_roc_curve 0.985714 [1,0.952381,0.0,0.0,0.0,1,1,1,0.0,1,1] area_under_roc_curve 0.974603 [1,0.952381,0.0,0.0,0.0,1,0.0,1,1,0.888889,1] area_under_roc_curve 0.975 [0.875,1,0.0,0.0,0.0,1,1,1,1,1,1] area_under_roc_curve 0.8875 [0.9375,1,0.0,0.0,0.111111,1,1,0.888889,1,0.0,1] area_under_roc_curve 0.912698 [0.904762,0.952381,0.0,0.0,0.555556,1,1,0.0,0.0,0.0,1] area_under_roc_curve 0.865278 [1,0.9375,0.0,0.0,0.111111,1,1,0.666667,0.0,1,1] area_under_roc_curve 0.895833 [1,0.8125,0.0,0.0,0.555556,1,1,0.777778,1,0.0,1] area_under_roc_curve 0.966667 [1,1,0.0,0.0,0.0,0.888889,0.0,1,0.888889,0.888889,1] area_under_roc_curve 0.9 [1,0.75,0.5,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.869444 [1,0.875,0.5,0.0,0.555556,1,1,0.888889,0.0,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,0.0,1,1,1] area_under_roc_curve 0.888095 [0.904762,0.75,0.0,0.0,0.666667,1,0.0,1,1,0.0,1] area_under_roc_curve 0.933333 [1,1,0.0,0.0,0.444444,1,1,1,1,0.0,0.888889] area_under_roc_curve 0.966667 [1,1,0.0,0.0,0.666667,1,1,0.0,1,1,1] area_under_roc_curve 0.896429 [0.904762,0.875,0.5,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.988889 [1,1,0.0,0.0,0.0,1,1,1,1,1,0.888889] area_under_roc_curve 0.905556 [0.875,0.875,0.0,1,0.666667,1,0.0,1,0.0,0.888889,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,1,1] area_under_roc_curve 0.798611 [0.5625,0.875,0.0,0.0,0.333333,0.888889,1,0.888889,1,0.0,1] area_under_roc_curve 0.9375 [0.6875,1,0.0,1,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.9875 [0.9375,1,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.868254 [0.857143,1,0.0,0.0,0.333333,1,0.0,0.888889,0.888889,0.0,1] area_under_roc_curve 0.966667 [1,1,0.0,0.0,0.666667,1,1,1,1,0.0,1] area_under_roc_curve 0.958929 [0.9375,0.904762,0.0,0.0,0.0,1,1,0.0,1,1,1] area_under_roc_curve 0.952778 [0.9375,0.9375,0.0,0.777778,0.0,1,1,1,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.925 [0.875,1,0.5,0.0,0.0,1,1,0.0,1,1,1] area_under_roc_curve 0.888889 [1,1,0.0,0.0,0.111111,1,0.888889,0.888889,1,0.0,1] area_under_roc_curve 0.9375 [0.9375,0.75,0.0,1,0.0,1,1,1,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.95 [1,1,0.5,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.938889 [1,1,0.5,0.0,0.0,1,1,0.888889,1,0.0,1] area_under_roc_curve 0.899206 [1,0.904762,0.5,0.0,0.0,1,0.0,0.0,0.888889,0.888889,1] area_under_roc_curve 0.952778 [0.875,1,0.0,1,0.0,1,1,0.777778,1,0.0,1] area_under_roc_curve 0.975 [0.875,1,0.0,0.0,0.0,1,1,1,1,1,1] area_under_roc_curve 0.95 [1,1,0.5,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.986111 [1,1,0.0,0.0,0.0,1,0.875,0.0,1,0.0,1] area_under_roc_curve 0.94709 [0.888889,0.928571,0.0,0.0,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.984127 [1,0.928571,0.0,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.944444 [1,1,0.5,0.0,1,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.968254 [0.857143,1,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.984127 [1,0.928571,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,0.0,0.0,1,1,1] area_under_roc_curve 0.984127 [1,0.928571,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.986111 [1,1,0.0,0.0,0.0,0.875,1,1,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,0.0,0.0,1,1,1] area_under_roc_curve 0.847884 [0.722222,0.857143,0.0,0.0,0.0,0.75,1,0.0,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.676587 [0.428571,0.428571,0.0,0.0,0.625,1,0.0,0.75,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.936508 [0.714286,1,0.0,1,0.0,1,0.0,1,0.0,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.981481 [1,0.944444,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.940476 [1,0.857143,0.0,0.0,0.75,1,1,0.0,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.986111 [1,1,0.0,0.0,0.0,1,0.0,0.0,0.875,1,1] area_under_roc_curve 0.859788 [0.722222,0.785714,0.0,0.0,0.0,1,0.0,1,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.984127 [0.928571,1,0.0,1,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.878968 [0.642857,1,0.0,0.75,0.0,1,0.0,0.875,1,0.0,1] area_under_roc_curve 0.936508 [1,0.714286,0.0,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.986111 [1,1,0.0,0.875,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.958333 [1,1,0.0,0.0,0.75,1,1,0.875,0.0,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,0.0,0.0,1,1,1] area_under_roc_curve 0.981481 [1,0.944444,0.0,0.0,0.0,1,0.0,0.0,1,1,1] area_under_roc_curve 0.965608 [0.944444,0.928571,0.0,0.0,0.0,1,0.0,1,1,0.0,1] area_under_roc_curve 0.986111 [1,1,0.0,0.0,0.0,1,1,0.0,1,0.875,1] area_under_roc_curve 0.986111 [1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.875,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.888889 [0.888889,0.777778,0.0,0.0,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.968254 [0.857143,1,0.0,0.0,0.0,1,1,0.0,1,0.0,1] 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 0.625 [0.5,0.75,0,0,0,1,0,0,1,0,1] f_measure 1 [1,1,0,0,0,1,1,1,1,1,1] f_measure 1 [1,1,0,0,0,1,1,0,1,0,1] f_measure 0.726667 [1,0.8,0,0,0,1,1,0,1,0,0.666667] f_measure 0.546667 [0.8,0.4,0,0,0,0.666667,1,0,0,0,1] f_measure 0.491667 [0.666667,0.75,0,0,0,0,0,0,0,0,0.666667] f_measure 0.86 [1,0.8,0,0,0,1,1,0,1,0,1] f_measure 0.617143 [0.5,0.857143,0,0,0,1,0,0,0,0,0.8] f_measure 0.757143 [0.666667,0.857143,0,0,0,1,0,0,1,0,1] f_measure 0.86 [1,0.8,0,0,0,1,1,0,1,0,1] f_measure 0.625 [0.5,0.75,0,0,0,1,0,0,1,0,1] f_measure 0.586667 [0.8,0.8,0,0,0,0,1,0,0.666667,0,1] f_measure 0.8 [0.666667,0.5,0,0,0,1,1,0,1,0,1] f_measure 0.5 [0.666667,0,0,0,0,0.666667,1,0,1,0,1] f_measure 0.45 [0.666667,0.5,0,0,0,0,0,0,1,0,0.666667] f_measure 0.766667 [0.8,0.8,0,0,0,0.666667,0,1,1,0,1] f_measure 0.726667 [1,0.8,0,0,0,0.666667,1,0,1,0,0] f_measure 0.590476 [1,0.857143,0,0,0,0,0,0,0.666667,0,0.666667] f_measure 0.593333 [0.666667,0.8,0,0,0,0,0,0,1,0,1] f_measure 0.537143 [0.857143,0.4,0,0,0,0,0,0,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,0,1,0.666667,0,1] f_measure 0.586667 [0.8,0.8,0,0,0,1,1,0,0,0,0.666667] f_measure 0.633333 [1,0.666667,0,0,0,1,0,0,1,0,1] f_measure 0.72381 [1,0.857143,0,0,0,0.666667,1,0,0,0,1] f_measure 0.625 [0.666667,0.75,0,0,0,1,0,0,0.666667,0,1] f_measure 0.666667 [0.5,0.5,0,0,0,1,1,1,1,0,0.666667] f_measure 0.633333 [0.5,0.666667,0,0,0,1,1,0,1,0,1] f_measure 0.671429 [0.571429,0.666667,0,0,0,1,1,0,0,0,1] f_measure 0.483333 [1,0.666667,0,0,0,1,0,0,0,0,0.5] f_measure 0.646667 [1,0.4,0,0,0,0.666667,1,0,1,0,1] f_measure 0.414286 [0.571429,0.5,0,0,0,0,0,0,0,0,1] f_measure 0.546667 [1,0.4,0,0,0,0,1,0,1,0,0.666667] f_measure 0.526667 [0.8,0.5,0,0,0,0.666667,1,0,0,0,1] f_measure 0.766667 [0.8,0.8,0,0,0,1,1,0,1,0,0.666667] f_measure 0.625 [0.75,0.666667,0,0,0,0.666667,0,0,1,0,1] f_measure 0.626667 [1,0.8,0,0,0,1,1,0,0.666667,0,0] f_measure 0.866667 [1,1,0,0,0,0.666667,1,0,1,1,1] f_measure 0.65 [0.5,0.666667,0,0,0,1,1,0,0.666667,0,1] f_measure 0.726667 [1,0.8,0,0,0,1,1,0,1,0,0.666667] f_measure 0.314286 [0.5,0.571429,0,0,0,0,0,0,0,0,1] f_measure 0.726667 [1,0.8,0,0,0,1,1,0,1,0,0.666667] f_measure 0.4 [0,0.5,0,0,0,0,1,0,1,0,1] f_measure 0.76 [0.5,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.717143 [0.8,0.857143,0,0,0,0,1,0,1,0,1] f_measure 0.5 [0.666667,0.666667,0,0,0,0.666667,0,0,0,0,1] f_measure 0.86 [0.8,1,0,0,0,1,1,1,1,0,1] f_measure 0.666667 [0.5,0.666667,0,0,0,1,1,0,1,0,0.666667] f_measure 0.633333 [0.5,0.666667,0,0,0,1,1,0,1,0,1] f_measure 0.633333 [0.666667,0.5,0,0,0,1,1,0,1,0,1] f_measure 0.586667 [0.8,0.8,0,0,0,1,0,0,1,0,0.666667] f_measure 0.643333 [0.666667,0.8,0,0,0,1,1,0,1,0,0.5] f_measure 0.62 [0.8,0.8,0,0,0,1,0,0,1,0,1] f_measure 0.633333 [0.666667,0.5,0,0,0,1,1,0,1,0,1] f_measure 0.76 [0.8,1,0,0,0,1,0,0,1,0,1] f_measure 0.633333 [0.5,0.666667,0,0,0,1,1,0,1,0,1] f_measure 0.733333 [0.666667,1,0,0,0,1,1,0,1,0,1] f_measure 0.526667 [0.8,0.666667,0,0,0,0.666667,0,0,0,0,1] f_measure 0.294286 [0.4,0.571429,0,0,0,0,0,0,0,0,1] f_measure 0.726667 [0.8,1,0,0,0,1,1,0,1,0,0.666667] f_measure 0.61 [1,0.8,0,0,0,1,0,0,1,0,0.5] f_measure 0.730159 [0.857143,0.5,0,0,0,1,0,0,1,0,1] f_measure 0.888889 [0.8,0.8,0,0,0,1,0,0,1,0,1] f_measure 0.733333 [0.8,0.666667,0,0,0,1,0,1,1,0,0.666667] f_measure 0.733333 [0.8,1,0,0,0,1,0,0,1,0,1] f_measure 0.881481 [0.666667,0.8,0,0,0,1,1,0,1,0,1] f_measure 1 [1,1,0,0,0,1,1,1,1,0,1] f_measure 0.851852 [1,1,0,0,0,1,0,0,0.666667,0,1] f_measure 0.844444 [1,0.8,0,0,0,1,1,0,1,0,1] f_measure 0.437037 [0.666667,0.8,0,0,0,0,0,0,0,0,1] f_measure 0.844444 [1,1,0,0,0,1,0,0,1,0,0.8] f_measure 0.611111 [0.5,0.666667,0,0,0,0,1,0,1,0,0.666667] f_measure 0.84127 [0.857143,1,0,0,0,1,0,0,0,0,1] f_measure 0.696296 [0.8,1,0,0,0,0.666667,0,0,1,0,1] f_measure 0.333333 [0,0,0,0,0,1,0,0,1,0,1] f_measure 0.4 [0.8,0.666667,0,0,0,0,0,0,0,0,0.666667] f_measure 0.740741 [0.666667,0.666667,0,0,0,1,1,0,1,0,1] f_measure 0.460317 [0,0.571429,0,0,0,1,0,0,0,0,1] f_measure 1 [1,1,0,0,0,1,1,1,1,0,1] f_measure 0.844444 [0.8,1,0,0,0,1,1,0,1,0,1] f_measure 0.888889 [0.8,0.8,0,0,0,1,1,0,1,0,1] f_measure 0.844444 [1,0.8,0,0,0,1,1,0,1,0,1] f_measure 0.844444 [0.8,1,0,0,0,1,0,0,1,0,1] f_measure 0.515873 [0.571429,0.5,0,0,0,1,0,0,0,0,1] f_measure 0.634921 [0.571429,0.666667,0,0,0,0,0,1,0.666667,0,1] f_measure 0.844444 [0.8,1,0,0,0,1,1,0,1,0,1] f_measure 0.615873 [0.571429,0.8,0,0,0,0,0,0,0,0,1] f_measure 0.548148 [0.666667,0.8,0,0,0,1,0,0,0,0,1] f_measure 0.592593 [0.666667,0.666667,0,0,0,1,0,0,0.666667,0,1] f_measure 0.748148 [0.666667,0.8,0,0,0,1,0,0,1,0,1] f_measure 0.844444 [0.8,1,0,0,0,1,0,0,1,0,1] f_measure 0.703704 [1,0.666667,0,0,0,1,1,0,0,0,1] f_measure 0.582011 [0.5,0.857143,0,0,0,1,0,0,0,0,0.666667] f_measure 0.730159 [0.666667,0.857143,0,0,0,1,0,0,0.666667,0,1] f_measure 0.844444 [1,0.8,0,0,0,1,0,0,1,0,1] f_measure 0.555556 [0.666667,0,0,0,0,1,0.666667,0,1,0,1] f_measure 0.851852 [1,1,0,0,0,1,0,0,1,0,0.666667] f_measure 0.703704 [1,0.666667,0,0,0,0,1,0,1,0,1] f_measure 0.696296 [1,0.8,0,0,0,1,0,0,0.666667,0,1] f_measure 0.792593 [0.8,0.8,0,0,0,0.666667,0,0,0.666667,0,1] f_measure 0.888889 [0.666667,1,0,0,0,1,1,0,0.666667,0,1] kappa 0.615385 kappa 1 kappa 1 kappa 0.764706 kappa 0.52381 kappa 0.459459 kappa 0.876543 kappa 0.61039 kappa 0.736842 kappa 0.876543 kappa 0.615385 kappa 0.642857 kappa 0.75 kappa 0.529412 kappa 0.418605 kappa 0.759036 kappa 0.753086 kappa 0.625 kappa 0.62963 kappa 0.5 kappa 0.878049 kappa 0.642857 kappa 0.642857 kappa 0.75 kappa 0.620253 kappa 0.651163 kappa 0.642857 kappa 0.605263 kappa 0.52381 kappa 0.647059 kappa 0.382716 kappa 0.534884 kappa 0.529412 kappa 0.759036 kappa 0.620253 kappa 0.651163 kappa 0.883721 kappa 0.642857 kappa 0.764706 kappa 0.294118 kappa 0.764706 kappa 0.39759 kappa 0.764706 kappa 0.746835 kappa 0.5 kappa 0.882353 kappa 0.634146 kappa 0.642857 kappa 0.642857 kappa 0.642857 kappa 0.651163 kappa 0.647059 kappa 0.642857 kappa 0.761905 kappa 0.642857 kappa 0.761905 kappa 0.506173 kappa 0.268293 kappa 0.764706 kappa 0.647059 kappa 0.709677 kappa 0.857143 kappa 0.735294 kappa 0.735294 kappa 0.863636 kappa 1 kappa 0.859375 kappa 0.865672 kappa 0.446154 kappa 0.861538 kappa 0.590909 kappa 0.844828 kappa 0.731343 kappa 0.181818 kappa 0.446154 kappa 0.731343 kappa 0.4375 kappa 1 kappa 0.865672 kappa 0.861538 kappa 0.865672 kappa 0.857143 kappa 0.446154 kappa 0.571429 kappa 0.865672 kappa 0.557377 kappa 0.584615 kappa 0.597015 kappa 0.71875 kappa 0.857143 kappa 0.727273 kappa 0.564516 kappa 0.714286 kappa 0.857143 kappa 0.602941 kappa 0.859375 kappa 0.727273 kappa 0.731343 kappa 0.71875 kappa 0.861538 kb_relative_information_score 5.30915 kb_relative_information_score 5.492281 kb_relative_information_score 5.381656 kb_relative_information_score 5.218903 kb_relative_information_score 5.000196 kb_relative_information_score 3.475168 kb_relative_information_score 5.304796 kb_relative_information_score 4.485166 kb_relative_information_score 4.401702 kb_relative_information_score 5.655303 kb_relative_information_score 4.822895 kb_relative_information_score 5.558877 kb_relative_information_score 4.426248 kb_relative_information_score 4.312454 kb_relative_information_score 3.099201 kb_relative_information_score 5.058994 kb_relative_information_score 3.33216 kb_relative_information_score 4.897093 kb_relative_information_score 5.1123 kb_relative_information_score 4.119313 kb_relative_information_score 5.169793 kb_relative_information_score 4.945632 kb_relative_information_score 4.812605 kb_relative_information_score 4.858688 kb_relative_information_score 4.852499 kb_relative_information_score 5.300366 kb_relative_information_score 4.422349 kb_relative_information_score 3.756558 kb_relative_information_score 4.162796 kb_relative_information_score 4.376689 kb_relative_information_score 4.180462 kb_relative_information_score 4.532787 kb_relative_information_score 4.069678 kb_relative_information_score 5.705856 kb_relative_information_score 3.961852 kb_relative_information_score 4.545259 kb_relative_information_score 5.355806 kb_relative_information_score 4.219121 kb_relative_information_score 4.673891 kb_relative_information_score 3.317056 kb_relative_information_score 5.657305 kb_relative_information_score 3.377696 kb_relative_information_score 5.101618 kb_relative_information_score 5.07706 kb_relative_information_score 3.86486 kb_relative_information_score 5.689175 kb_relative_information_score 4.890543 kb_relative_information_score 4.907774 kb_relative_information_score 5.211319 kb_relative_information_score 4.596073 kb_relative_information_score 4.326699 kb_relative_information_score 4.496158 kb_relative_information_score 4.399383 kb_relative_information_score 5.158711 kb_relative_information_score 4.737768 kb_relative_information_score 4.790845 kb_relative_information_score 3.623612 kb_relative_information_score 3.816156 kb_relative_information_score 5.137181 kb_relative_information_score 5.347176 kb_relative_information_score 4.465248 kb_relative_information_score 4.385471 kb_relative_information_score 4.618905 kb_relative_information_score 4.184049 kb_relative_information_score 4.629206 kb_relative_information_score 5.416902 kb_relative_information_score 4.981145 kb_relative_information_score 4.794078 kb_relative_information_score 4.302095 kb_relative_information_score 5.22739 kb_relative_information_score 3.453408 kb_relative_information_score 4.476494 kb_relative_information_score 4.642218 kb_relative_information_score 2.079294 kb_relative_information_score 4.571647 kb_relative_information_score 4.46891 kb_relative_information_score 4.754703 kb_relative_information_score 5.032144 kb_relative_information_score 4.491576 kb_relative_information_score 3.874804 kb_relative_information_score 3.546418 kb_relative_information_score 4.826329 kb_relative_information_score 3.984972 kb_relative_information_score 3.912855 kb_relative_information_score 5.093394 kb_relative_information_score 3.907263 kb_relative_information_score 3.554604 kb_relative_information_score 4.160521 kb_relative_information_score 4.726992 kb_relative_information_score 5.086066 kb_relative_information_score 3.883565 kb_relative_information_score 3.940736 kb_relative_information_score 3.960675 kb_relative_information_score 3.967833 kb_relative_information_score 4.44957 kb_relative_information_score 4.311819 kb_relative_information_score 4.717584 kb_relative_information_score 5.452158 kb_relative_information_score 3.573696 kb_relative_information_score 4.48203 mean_absolute_error 0.101573 mean_absolute_error 0.107251 mean_absolute_error 0.08678 mean_absolute_error 0.105892 mean_absolute_error 0.105977 mean_absolute_error 0.109788 mean_absolute_error 0.091974 mean_absolute_error 0.100061 mean_absolute_error 0.09966 mean_absolute_error 0.088755 mean_absolute_error 0.109078 mean_absolute_error 0.094223 mean_absolute_error 0.110257 mean_absolute_error 0.117892 mean_absolute_error 0.122973 mean_absolute_error 0.102933 mean_absolute_error 0.123265 mean_absolute_error 0.096698 mean_absolute_error 0.099878 mean_absolute_error 0.117577 mean_absolute_error 0.092946 mean_absolute_error 0.10224 mean_absolute_error 0.109038 mean_absolute_error 0.1057 mean_absolute_error 0.10277 mean_absolute_error 0.112159 mean_absolute_error 0.111397 mean_absolute_error 0.11322 mean_absolute_error 0.114932 mean_absolute_error 0.108089 mean_absolute_error 0.113834 mean_absolute_error 0.113926 mean_absolute_error 0.115292 mean_absolute_error 0.09151 mean_absolute_error 0.112056 mean_absolute_error 0.114232 mean_absolute_error 0.103883 mean_absolute_error 0.111436 mean_absolute_error 0.116073 mean_absolute_error 0.130452 mean_absolute_error 0.102048 mean_absolute_error 0.127193 mean_absolute_error 0.111895 mean_absolute_error 0.103015 mean_absolute_error 0.111244 mean_absolute_error 0.096348 mean_absolute_error 0.105572 mean_absolute_error 0.11021 mean_absolute_error 0.107805 mean_absolute_error 0.115897 mean_absolute_error 0.119977 mean_absolute_error 0.109686 mean_absolute_error 0.11821 mean_absolute_error 0.108136 mean_absolute_error 0.113035 mean_absolute_error 0.107304 mean_absolute_error 0.116479 mean_absolute_error 0.126134 mean_absolute_error 0.108279 mean_absolute_error 0.095935 mean_absolute_error 0.094959 mean_absolute_error 0.098081 mean_absolute_error 0.103257 mean_absolute_error 0.106705 mean_absolute_error 0.099511 mean_absolute_error 0.092146 mean_absolute_error 0.091355 mean_absolute_error 0.101821 mean_absolute_error 0.107418 mean_absolute_error 0.094196 mean_absolute_error 0.112401 mean_absolute_error 0.085407 mean_absolute_error 0.098546 mean_absolute_error 0.138092 mean_absolute_error 0.103062 mean_absolute_error 0.109534 mean_absolute_error 0.104629 mean_absolute_error 0.097389 mean_absolute_error 0.104776 mean_absolute_error 0.107781 mean_absolute_error 0.119266 mean_absolute_error 0.095365 mean_absolute_error 0.106551 mean_absolute_error 0.108549 mean_absolute_error 0.096702 mean_absolute_error 0.110927 mean_absolute_error 0.117405 mean_absolute_error 0.114585 mean_absolute_error 0.085362 mean_absolute_error 0.084102 mean_absolute_error 0.107728 mean_absolute_error 0.102218 mean_absolute_error 0.106075 mean_absolute_error 0.10501 mean_absolute_error 0.107817 mean_absolute_error 0.098286 mean_absolute_error 0.099001 mean_absolute_error 0.091604 mean_absolute_error 0.104816 mean_absolute_error 0.100231 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 0.58 [0.5,0.6,0,0,0,1,0,0,1,0,1] precision 1 [1,1,0,0,0,1,1,1,1,1,1] precision 1 [1,1,0,0,0,1,1,0,1,0,1] precision 0.683333 [1,0.666667,0,0,0,1,1,0,1,0,0.5] precision 0.533333 [0.666667,0.5,0,0,0,0.5,1,0,0,0,1] precision 0.43 [0.666667,0.6,0,0,0,0,0,0,0,0,0.5] precision 0.833333 [1,0.666667,0,0,0,1,1,0,1,0,1] precision 0.558333 [0.5,0.75,0,0,0,1,0,0,0,0,0.666667] precision 0.725 [0.666667,0.75,0,0,0,1,0,0,1,0,1] precision 0.833333 [1,0.666667,0,0,0,1,1,0,1,0,1] precision 0.58 [0.5,0.6,0,0,0,1,0,0,1,0,1] precision 0.516667 [0.666667,0.666667,0,0,0,0,1,0,0.5,0,1] precision 0.8 [0.666667,0.5,0,0,0,1,1,0,1,0,1] precision 0.45 [0.5,0,0,0,0,0.5,1,0,1,0,1] precision 0.55 [0.5,1,0,0,0,0,0,0,1,0,0.5] precision 0.783333 [1,0.666667,0,0,0,0.5,0,1,1,0,1] precision 0.683333 [1,0.666667,0,0,0,0.5,1,0,1,0,0] precision 0.525 [1,0.75,0,0,0,0,0,0,0.5,0,0.5] precision 0.533333 [0.5,0.666667,0,0,0,0,0,0,1,0,1] precision 0.491667 [0.75,0.333333,0,0,0,0,0,0,1,0,1] precision 0.85 [1,1,0,0,0,1,0,1,0.5,0,1] precision 0.516667 [0.666667,0.666667,0,0,0,1,1,0,0,0,0.5] precision 0.6 [1,0.5,0,0,0,1,0,0,1,0,1] precision 0.675 [1,0.75,0,0,0,0.5,1,0,0,0,1] precision 0.63 [1,0.6,0,0,0,1,0,0,0.5,0,1] precision 0.65 [0.5,0.5,0,0,0,1,1,1,1,0,0.5] precision 0.6 [0.5,0.5,0,0,0,1,1,0,1,0,1] precision 0.65 [0.5,0.666667,0,0,0,1,1,0,0,0,1] precision 0.433333 [1,0.5,0,0,0,1,0,0,0,0,0.333333] precision 0.616667 [1,0.333333,0,0,0,0.5,1,0,1,0,1] precision 0.38 [0.4,0.5,0,0,0,0,0,0,0,0,1] precision 0.516667 [1,0.333333,0,0,0,0,1,0,1,0,0.5] precision 0.483333 [0.666667,0.5,0,0,0,0.5,1,0,0,0,1] precision 0.783333 [0.666667,1,0,0,0,1,1,0,1,0,0.5] precision 0.63 [0.6,1,0,0,0,0.5,0,0,1,0,1] precision 0.583333 [1,0.666667,0,0,0,1,1,0,0.5,0,0] precision 0.85 [1,1,0,0,0,0.5,1,0,1,1,1] precision 0.75 [1,0.5,0,0,0,1,1,0,0.5,0,1] precision 0.683333 [1,0.666667,0,0,0,1,1,0,1,0,0.5] precision 0.28 [0.5,0.4,0,0,0,0,0,0,0,0,1] precision 0.683333 [1,0.666667,0,0,0,1,1,0,1,0,0.5] precision 0.366667 [0,0.333333,0,0,0,0,1,0,1,0,1] precision 0.733333 [0.5,0.666667,0,0,0,1,1,1,1,0,1] precision 0.658333 [0.666667,0.75,0,0,0,0,1,0,1,0,1] precision 0.45 [0.666667,0.5,0,0,0,0.5,0,0,0,0,1] precision 0.833333 [0.666667,1,0,0,0,1,1,1,1,0,1] precision 0.65 [0.5,0.666667,0,0,0,1,1,0,1,0,0.5] precision 0.6 [0.5,0.5,0,0,0,1,1,0,1,0,1] precision 0.6 [0.5,0.5,0,0,0,1,1,0,1,0,1] precision 0.516667 [0.666667,0.666667,0,0,0,1,0,0,1,0,0.5] precision 0.666667 [1,0.666667,0,0,0,1,1,0,1,0,0.333333] precision 0.566667 [0.666667,0.666667,0,0,0,1,0,0,1,0,1] precision 0.6 [0.5,0.5,0,0,0,1,1,0,1,0,1] precision 0.733333 [0.666667,1,0,0,0,1,0,0,1,0,1] precision 0.6 [0.5,0.5,0,0,0,1,1,0,1,0,1] precision 0.7 [0.5,1,0,0,0,1,1,0,1,0,1] precision 0.483333 [0.666667,0.666667,0,0,0,0.5,0,0,0,0,1] precision 0.246667 [0.333333,0.4,0,0,0,0,0,0,0,0,1] precision 0.683333 [0.666667,1,0,0,0,1,1,0,1,0,0.5] precision 0.566667 [1,0.666667,0,0,0,1,0,0,1,0,0.333333] precision 0.694444 [0.75,0.5,0,0,0,1,0,0,1,0,1] precision 0.925926 [1,0.666667,0,0,0,1,0,0,1,0,1] precision 0.759259 [0.666667,1,0,0,0,1,0,1,1,0,0.5] precision 0.703704 [0.666667,1,0,0,0,1,0,0,1,0,1] precision 0.925926 [1,0.666667,0,0,0,1,1,0,1,0,1] precision 1 [1,1,0,0,0,1,1,1,1,0,1] precision 0.833333 [1,1,0,0,0,1,0,0,0.5,0,1] precision 0.814815 [1,0.666667,0,0,0,1,1,0,1,0,1] precision 0.37037 [0.5,0.666667,0,0,0,0,0,0,0,0,1] precision 0.814815 [1,1,0,0,0,1,0,0,1,0,0.666667] precision 0.722222 [1,0.5,0,0,0,0,1,0,1,0,0.5] precision 0.805556 [0.75,1,0,0,0,1,0,0,0,0,1] precision 0.648148 [0.666667,1,0,0,0,0.5,0,0,1,0,1] precision 0.333333 [0,0,0,0,0,1,0,0,1,0,1] precision 0.314815 [0.666667,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.777778 [0.5,1,0,0,0,1,1,0,1,0,1] precision 0.422222 [0,0.4,0,0,0,1,0,0,0,0,1] precision 1 [1,1,0,0,0,1,1,1,1,0,1] precision 0.814815 [0.666667,1,0,0,0,1,1,0,1,0,1] precision 0.925926 [0.666667,1,0,0,0,1,1,0,1,0,1] precision 0.814815 [1,0.666667,0,0,0,1,1,0,1,0,1] precision 0.814815 [0.666667,1,0,0,0,1,0,0,1,0,1] precision 0.644444 [0.4,1,0,0,0,1,0,0,0,0,1] precision 0.666667 [0.5,1,0,0,0,0,0,1,0.5,0,1] precision 0.814815 [0.666667,1,0,0,0,1,1,0,1,0,1] precision 0.644444 [0.4,1,0,0,0,0,0,0,0,0,1] precision 0.481481 [0.5,0.666667,0,0,0,1,0,0,0,0,1] precision 0.611111 [1,0.5,0,0,0,1,0,0,0.5,0,1] precision 0.777778 [0.5,1,0,0,0,1,0,0,1,0,1] precision 0.814815 [0.666667,1,0,0,0,1,0,0,1,0,1] precision 0.666667 [1,0.5,0,0,0,1,1,0,0,0,1] precision 0.527778 [0.5,0.75,0,0,0,1,0,0,0,0,0.5] precision 0.75 [1,0.75,0,0,0,1,0,0,0.5,0,1] precision 0.814815 [1,0.666667,0,0,0,1,0,0,1,0,1] precision 0.5 [0.5,0,0,0,0,1,0.5,0,1,0,1] precision 0.833333 [1,1,0,0,0,1,0,0,1,0,0.5] precision 0.666667 [1,0.5,0,0,0,0,1,0,1,0,1] precision 0.648148 [1,0.666667,0,0,0,1,0,0,0.5,0,1] precision 0.888889 [1,1,0,0,0,0.5,0,0,0.5,0,1] precision 0.944444 [1,1,0,0,0,1,1,0,0.5,0,1] predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.333333 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 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 0.7 [0.5,1,0,0,0,1,0,0,1,0,1] recall 1 [1,1,0,0,0,1,1,1,1,1,1] recall 1 [1,1,0,0,0,1,1,0,1,0,1] recall 0.8 [1,1,0,0,0,1,1,0,1,0,1] recall 0.6 [1,0.333333,0,0,0,1,1,0,0,0,1] recall 0.6 [0.666667,1,0,0,0,0,0,0,0,0,1] recall 0.9 [1,1,0,0,0,1,1,0,1,0,1] recall 0.7 [0.5,1,0,0,0,1,0,0,0,0,1] recall 0.8 [0.666667,1,0,0,0,1,0,0,1,0,1] recall 0.9 [1,1,0,0,0,1,1,0,1,0,1] recall 0.7 [0.5,1,0,0,0,1,0,0,1,0,1] recall 0.7 [1,1,0,0,0,0,1,0,1,0,1] recall 0.8 [0.666667,0.5,0,0,0,1,1,0,1,0,1] recall 0.6 [1,0,0,0,0,1,1,0,1,0,1] recall 0.5 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.8 [0.666667,1,0,0,0,1,0,1,1,0,1] recall 0.8 [1,1,0,0,0,1,1,0,1,0,0] recall 0.7 [1,1,0,0,0,0,0,0,1,0,1] recall 0.7 [1,1,0,0,0,0,0,0,1,0,1] recall 0.6 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.9 [1,1,0,0,0,1,0,1,1,0,1] recall 0.7 [1,1,0,0,0,1,1,0,0,0,1] recall 0.7 [1,1,0,0,0,1,0,0,1,0,1] recall 0.8 [1,1,0,0,0,1,1,0,0,0,1] recall 0.7 [0.5,1,0,0,0,1,0,0,1,0,1] recall 0.7 [0.5,0.5,0,0,0,1,1,1,1,0,1] recall 0.7 [0.5,1,0,0,0,1,1,0,1,0,1] recall 0.7 [0.666667,0.666667,0,0,0,1,1,0,0,0,1] recall 0.6 [1,1,0,0,0,1,0,0,0,0,1] recall 0.7 [1,0.5,0,0,0,1,1,0,1,0,1] recall 0.5 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.6 [1,0.5,0,0,0,0,1,0,1,0,1] recall 0.6 [1,0.5,0,0,0,1,1,0,0,0,1] recall 0.8 [1,0.666667,0,0,0,1,1,0,1,0,1] recall 0.7 [1,0.5,0,0,0,1,0,0,1,0,1] recall 0.7 [1,1,0,0,0,1,1,0,1,0,0] recall 0.9 [1,1,0,0,0,1,1,0,1,1,1] recall 0.7 [0.333333,1,0,0,0,1,1,0,1,0,1] recall 0.8 [1,1,0,0,0,1,1,0,1,0,1] recall 0.4 [0.5,1,0,0,0,0,0,0,0,0,1] recall 0.8 [1,1,0,0,0,1,1,0,1,0,1] recall 0.5 [0,1,0,0,0,0,1,0,1,0,1] recall 0.8 [0.5,1,0,0,0,1,1,1,1,0,1] recall 0.8 [1,1,0,0,0,0,1,0,1,0,1] recall 0.6 [0.666667,1,0,0,0,1,0,0,0,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.7 [0.5,0.666667,0,0,0,1,1,0,1,0,1] recall 0.7 [0.5,1,0,0,0,1,1,0,1,0,1] recall 0.7 [1,0.5,0,0,0,1,1,0,1,0,1] recall 0.7 [1,1,0,0,0,1,0,0,1,0,1] recall 0.7 [0.5,1,0,0,0,1,1,0,1,0,1] recall 0.7 [1,1,0,0,0,1,0,0,1,0,1] recall 0.7 [1,0.5,0,0,0,1,1,0,1,0,1] recall 0.8 [1,1,0,0,0,1,0,0,1,0,1] recall 0.7 [0.5,1,0,0,0,1,1,0,1,0,1] recall 0.8 [1,1,0,0,0,1,1,0,1,0,1] recall 0.6 [1,0.666667,0,0,0,1,0,0,0,0,1] recall 0.4 [0.5,1,0,0,0,0,0,0,0,0,1] recall 0.8 [1,1,0,0,0,1,1,0,1,0,1] recall 0.7 [1,1,0,0,0,1,0,0,1,0,1] recall 0.777778 [1,0.5,0,0,0,1,0,0,1,0,1] recall 0.888889 [0.666667,1,0,0,0,1,0,0,1,0,1] recall 0.777778 [1,0.5,0,0,0,1,0,1,1,0,1] recall 0.777778 [1,1,0,0,0,1,0,0,1,0,1] recall 0.888889 [0.5,1,0,0,0,1,1,0,1,0,1] recall 1 [1,1,0,0,0,1,1,1,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,1,0,1,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 0.666667 [0.333333,1,0,0,0,0,1,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,0,0,1] recall 0.777778 [1,1,0,0,0,1,0,0,1,0,1] recall 0.333333 [0,0,0,0,0,1,0,0,1,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.777778 [1,0.5,0,0,0,1,1,0,1,0,1] recall 0.555556 [0,1,0,0,0,1,0,0,0,0,1] recall 1 [1,1,0,0,0,1,1,1,1,0,1] recall 0.888889 [1,1,0,0,0,1,1,0,1,0,1] recall 0.888889 [1,0.666667,0,0,0,1,1,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,1,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 0.555556 [1,0.333333,0,0,0,1,0,0,0,0,1] recall 0.666667 [0.666667,0.5,0,0,0,0,0,1,1,0,1] recall 0.888889 [1,1,0,0,0,1,1,0,1,0,1] recall 0.666667 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.666667 [1,1,0,0,0,1,0,0,0,0,1] recall 0.666667 [0.5,1,0,0,0,1,0,0,1,0,1] recall 0.777778 [1,0.666667,0,0,0,1,0,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 0.777778 [1,1,0,0,0,1,1,0,0,0,1] recall 0.666667 [0.5,1,0,0,0,1,0,0,0,0,1] recall 0.777778 [0.5,1,0,0,0,1,0,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 0.666667 [1,0,0,0,0,1,1,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 0.777778 [1,1,0,0,0,0,1,0,1,0,1] recall 0.777778 [1,1,0,0,0,1,0,0,1,0,1] recall 0.777778 [0.666667,0.666667,0,0,0,1,0,0,1,0,1] recall 0.888889 [0.5,1,0,0,0,1,1,0,1,0,1] relative_absolute_error 0.657598 relative_absolute_error 0.683084 relative_absolute_error 0.574464 relative_absolute_error 0.674432 relative_absolute_error 0.685359 relative_absolute_error 0.72514 relative_absolute_error 0.597425 relative_absolute_error 0.652839 relative_absolute_error 0.656036 relative_absolute_error 0.576517 relative_absolute_error 0.706184 relative_absolute_error 0.600112 relative_absolute_error 0.720161 relative_absolute_error 0.750861 relative_absolute_error 0.797903 relative_absolute_error 0.66714 relative_absolute_error 0.800678 relative_absolute_error 0.62466 relative_absolute_error 0.6382 relative_absolute_error 0.763732 relative_absolute_error 0.603073 relative_absolute_error 0.651172 relative_absolute_error 0.692971 relative_absolute_error 0.683563 relative_absolute_error 0.666814 relative_absolute_error 0.714349 relative_absolute_error 0.707961 relative_absolute_error 0.743639 relative_absolute_error 0.726502 relative_absolute_error 0.686936 relative_absolute_error 0.728959 relative_absolute_error 0.723254 relative_absolute_error 0.726438 relative_absolute_error 0.593753 relative_absolute_error 0.724669 relative_absolute_error 0.725979 relative_absolute_error 0.658781 relative_absolute_error 0.71987 relative_absolute_error 0.739273 relative_absolute_error 0.821077 relative_absolute_error 0.649947 relative_absolute_error 0.808346 relative_absolute_error 0.711126 relative_absolute_error 0.666937 relative_absolute_error 0.719418 relative_absolute_error 0.612322 relative_absolute_error 0.684994 relative_absolute_error 0.700415 relative_absolute_error 0.686614 relative_absolute_error 0.73497 relative_absolute_error 0.760026 relative_absolute_error 0.697088 relative_absolute_error 0.751256 relative_absolute_error 0.690965 relative_absolute_error 0.717598 relative_absolute_error 0.681213 relative_absolute_error 0.751621 relative_absolute_error 0.801621 relative_absolute_error 0.689634 relative_absolute_error 0.607723 relative_absolute_error 0.624008 relative_absolute_error 0.648547 relative_absolute_error 0.663713 relative_absolute_error 0.680099 relative_absolute_error 0.645114 relative_absolute_error 0.593736 relative_absolute_error 0.599578 relative_absolute_error 0.656075 relative_absolute_error 0.69214 relative_absolute_error 0.609171 relative_absolute_error 0.738625 relative_absolute_error 0.568289 relative_absolute_error 0.633431 relative_absolute_error 0.885479 relative_absolute_error 0.660854 relative_absolute_error 0.702359 relative_absolute_error 0.672535 relative_absolute_error 0.627521 relative_absolute_error 0.671846 relative_absolute_error 0.709148 relative_absolute_error 0.764762 relative_absolute_error 0.624351 relative_absolute_error 0.699313 relative_absolute_error 0.713312 relative_absolute_error 0.620072 relative_absolute_error 0.728037 relative_absolute_error 0.752825 relative_absolute_error 0.736527 relative_absolute_error 0.55886 relative_absolute_error 0.553347 relative_absolute_error 0.68828 relative_absolute_error 0.670879 relative_absolute_error 0.696193 relative_absolute_error 0.690059 relative_absolute_error 0.693023 relative_absolute_error 0.645068 relative_absolute_error 0.637904 relative_absolute_error 0.588811 relative_absolute_error 0.703621 relative_absolute_error 0.65947 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 0.205592 root_mean_squared_error 0.201946 root_mean_squared_error 0.170915 root_mean_squared_error 0.203695 root_mean_squared_error 0.209097 root_mean_squared_error 0.216538 root_mean_squared_error 0.184558 root_mean_squared_error 0.203685 root_mean_squared_error 0.196632 root_mean_squared_error 0.173107 root_mean_squared_error 0.214984 root_mean_squared_error 0.190614 root_mean_squared_error 0.213736 root_mean_squared_error 0.228839 root_mean_squared_error 0.23682 root_mean_squared_error 0.197127 root_mean_squared_error 0.230803 root_mean_squared_error 0.196049 root_mean_squared_error 0.203169 root_mean_squared_error 0.224352 root_mean_squared_error 0.187315 root_mean_squared_error 0.205987 root_mean_squared_error 0.216266 root_mean_squared_error 0.207117 root_mean_squared_error 0.201545 root_mean_squared_error 0.211999 root_mean_squared_error 0.220919 root_mean_squared_error 0.21893 root_mean_squared_error 0.226959 root_mean_squared_error 0.217441 root_mean_squared_error 0.224446 root_mean_squared_error 0.221325 root_mean_squared_error 0.233618 root_mean_squared_error 0.179597 root_mean_squared_error 0.221602 root_mean_squared_error 0.219418 root_mean_squared_error 0.199975 root_mean_squared_error 0.217862 root_mean_squared_error 0.218168 root_mean_squared_error 0.25643 root_mean_squared_error 0.197439 root_mean_squared_error 0.259006 root_mean_squared_error 0.217561 root_mean_squared_error 0.202886 root_mean_squared_error 0.220849 root_mean_squared_error 0.193724 root_mean_squared_error 0.209095 root_mean_squared_error 0.218727 root_mean_squared_error 0.209296 root_mean_squared_error 0.221136 root_mean_squared_error 0.228296 root_mean_squared_error 0.214706 root_mean_squared_error 0.235085 root_mean_squared_error 0.205656 root_mean_squared_error 0.216769 root_mean_squared_error 0.209167 root_mean_squared_error 0.226985 root_mean_squared_error 0.242722 root_mean_squared_error 0.212705 root_mean_squared_error 0.196378 root_mean_squared_error 0.183843 root_mean_squared_error 0.19051 root_mean_squared_error 0.200839 root_mean_squared_error 0.208375 root_mean_squared_error 0.19474 root_mean_squared_error 0.175533 root_mean_squared_error 0.177315 root_mean_squared_error 0.195043 root_mean_squared_error 0.213579 root_mean_squared_error 0.180671 root_mean_squared_error 0.235361 root_mean_squared_error 0.177881 root_mean_squared_error 0.193832 root_mean_squared_error 0.285642 root_mean_squared_error 0.208018 root_mean_squared_error 0.212836 root_mean_squared_error 0.211299 root_mean_squared_error 0.18663 root_mean_squared_error 0.203449 root_mean_squared_error 0.20282 root_mean_squared_error 0.224545 root_mean_squared_error 0.189216 root_mean_squared_error 0.21249 root_mean_squared_error 0.210808 root_mean_squared_error 0.192103 root_mean_squared_error 0.214067 root_mean_squared_error 0.234387 root_mean_squared_error 0.22193 root_mean_squared_error 0.174143 root_mean_squared_error 0.165053 root_mean_squared_error 0.217677 root_mean_squared_error 0.202268 root_mean_squared_error 0.206893 root_mean_squared_error 0.206179 root_mean_squared_error 0.212129 root_mean_squared_error 0.192306 root_mean_squared_error 0.195361 root_mean_squared_error 0.178074 root_mean_squared_error 0.20058 root_mean_squared_error 0.191417 root_relative_squared_error 0.743927 root_relative_squared_error 0.718837 root_relative_squared_error 0.632687 root_relative_squared_error 0.725063 root_relative_squared_error 0.755768 root_relative_squared_error 0.79971 root_relative_squared_error 0.670058 root_relative_squared_error 0.742834 root_relative_squared_error 0.723683 root_relative_squared_error 0.628482 root_relative_squared_error 0.777912 root_relative_squared_error 0.678503 root_relative_squared_error 0.780371 root_relative_squared_error 0.814564 root_relative_squared_error 0.858837 root_relative_squared_error 0.714092 root_relative_squared_error 0.837952 root_relative_squared_error 0.707822 root_relative_squared_error 0.725537 root_relative_squared_error 0.814531 root_relative_squared_error 0.679305 root_relative_squared_error 0.733221 root_relative_squared_error 0.768158 root_relative_squared_error 0.748611 root_relative_squared_error 0.730911 root_relative_squared_error 0.75462 root_relative_squared_error 0.784685 root_relative_squared_error 0.803902 root_relative_squared_error 0.801854 root_relative_squared_error 0.772331 root_relative_squared_error 0.803264 root_relative_squared_error 0.785288 root_relative_squared_error 0.822768 root_relative_squared_error 0.651316 root_relative_squared_error 0.800967 root_relative_squared_error 0.779353 root_relative_squared_error 0.708776 root_relative_squared_error 0.786577 root_relative_squared_error 0.77658 root_relative_squared_error 0.902157 root_relative_squared_error 0.702796 root_relative_squared_error 0.919967 root_relative_squared_error 0.772758 root_relative_squared_error 0.734137 root_relative_squared_error 0.798246 root_relative_squared_error 0.688091 root_relative_squared_error 0.75829 root_relative_squared_error 0.7769 root_relative_squared_error 0.745001 root_relative_squared_error 0.783776 root_relative_squared_error 0.808294 root_relative_squared_error 0.762617 root_relative_squared_error 0.835002 root_relative_squared_error 0.734419 root_relative_squared_error 0.769123 root_relative_squared_error 0.742148 root_relative_squared_error 0.818609 root_relative_squared_error 0.862126 root_relative_squared_error 0.757137 root_relative_squared_error 0.695285 root_relative_squared_error 0.675405 root_relative_squared_error 0.704401 root_relative_squared_error 0.721486 root_relative_squared_error 0.742254 root_relative_squared_error 0.705619 root_relative_squared_error 0.632119 root_relative_squared_error 0.650597 root_relative_squared_error 0.702379 root_relative_squared_error 0.769128 root_relative_squared_error 0.653025 root_relative_squared_error 0.864676 root_relative_squared_error 0.661992 root_relative_squared_error 0.696316 root_relative_squared_error 1.023639 root_relative_squared_error 0.745462 root_relative_squared_error 0.762729 root_relative_squared_error 0.759061 root_relative_squared_error 0.672081 root_relative_squared_error 0.729088 root_relative_squared_error 0.746075 root_relative_squared_error 0.804688 root_relative_squared_error 0.692505 root_relative_squared_error 0.779657 root_relative_squared_error 0.774473 root_relative_squared_error 0.688429 root_relative_squared_error 0.785445 root_relative_squared_error 0.839958 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