279677 2 Joaquin Vanschoren 4648 Supervised Classification predictive_accuracy 1117 weka.RBFClassifier(3) 1885 weka.classifiers.functions.RBFClassifier -- -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1 N 2 1117 R 0.01 1117 L 1.0E-6 1117 C 2 1117 P 1 1117 E 1 1117 S 1 1117 weka weka_3.7.12 1109 lymphoma_11classes https://www.openml.org/data/download/53992/lymphoma_11classes.arff -1 939525 description https://api.openml.org/data/download/939525/weka_generated_run3145903187466980664.xml -1 939528 model_readable https://api.openml.org/data/download/939528/WekaModel_weka.classifiers.functions.RBFClassifier8584506156117063456.model -1 939527 model_serialized https://api.openml.org/data/download/939527/WekaSerialized_weka.classifiers.functions.RBFClassifier7227761213998976431.model -1 939526 predictions https://api.openml.org/data/download/939526/weka_generated_predictions602310600295977805.arff area_under_roc_curve 0.823493 [0.930756,0.770432,0.027789,0.106676,0.14383,0.811477,0.880593,0.840204,0.92189,0.691658,0.984257] average_cost 0 f_measure 0.399252 [0.689655,0.445183,0,0,0,0,0,0,0.58156,0,0.698413] kappa 0.367408 kb_relative_information_score 217.920498 mean_absolute_error 0.136658 mean_prior_absolute_error 0.155126 number_of_instances 960 [220,230,10,20,20,100,60,60,90,40,110] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.354699 [0.574018,0.360215,0,0,0,0,0,0,0.803922,0,0.536585] predictive_accuracy 0.494792 prior_entropy 3.089168 recall 0.494792 [0.863636,0.582609,0,0,0,0,0,0,0.455556,0,1] relative_absolute_error 0.880945 root_mean_prior_squared_error 0.277562 root_mean_squared_error 0.250469 root_relative_squared_error 0.902391 scimark_benchmark 912.732444 [550.4072860023583, 958.2074025799751, 483.449727694041, 912.1225300476696, 1659.4752723382176] total_cost 0 usercpu_time_millis 1631480 usercpu_time_millis_testing 10 usercpu_time_millis_training 1631470 area_under_roc_curve 0.847619 [1,0.714286,0.0,0.666667,0.0,0.777778,0.0,1,0.888889,0.0,1] area_under_roc_curve 0.908333 [1,0.875,0.0,0.0,0.0,0.555556,1,1,1,0.888889,0.888889] area_under_roc_curve 0.966667 [1,1,0.0,0.0,0.0,1,0.666667,0.0,1,0.0,1] area_under_roc_curve 0.877778 [0.875,0.625,0.0,0.0,0.0,0.777778,1,1,1,1,1] area_under_roc_curve 0.904762 [1,0.904762,0.0,0.0,0.0,0.777778,0.777778,1,0.0,0.888889,0.888889] area_under_roc_curve 0.857143 [0.809524,0.714286,0.0,0.0,0.0,1,0.0,0.0,1,1,1] area_under_roc_curve 0.9625 [1,0.8125,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.977778 [1,1,0.0,0.0,0.0,0.888889,0.0,0.0,0.888889,1,1] area_under_roc_curve 0.820635 [0.952381,0.857143,0,0.0,0.0,0.777778,0.0,0.0,1,0.0,1] area_under_roc_curve 0.915278 [1,0.6875,0.0,0.0,0.0,0.777778,1,1,1,0.0,1] area_under_roc_curve 0.693254 [0.625,0.52381,0.0,0.222222,0.0,0.888889,0.0,1,1,0.0,1] area_under_roc_curve 0.831944 [0.9375,0.5,0.0,0.0,0.0,0.777778,1,0.888889,0.888889,0.888889,1] area_under_roc_curve 0.86627 [0.952381,0.75,0.0,0.0,0.0,0.555556,1,0.0,1,0.0,0.875] area_under_roc_curve 0.895833 [1,0.8125,0.0,0.0,0.0,0.888889,1,0.666667,0.888889,0.888889,1] area_under_roc_curve 0.884127 [1,0.761905,0.0,0.0,0.0,0.777778,0.0,1,0.888889,0.888889,1] area_under_roc_curve 0.960714 [0.952381,0.875,0.0,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.938492 [0.952381,0.875,0.0,0.0,0.0,0.888889,0.888889,1,1,0.0,1] area_under_roc_curve 0.824603 [0.75,0.619048,0.0,0.0,1,0.888889,0.0,0.0,1,1,1] area_under_roc_curve 0.893056 [0.875,0.8125,0.0,0.0,0.666667,0.888889,0.0,1,1,0.0,1] area_under_roc_curve 0.851389 [1,0.8125,0.0,0.0,0.0,0.444444,1,1,0.555556,0.0,0.888889] area_under_roc_curve 0.912698 [1,0.857143,0.0,0.0,0.0,0.777778,0.0,0.888889,1,0.888889,1] area_under_roc_curve 0.965278 [1,0.9375,0.0,0.0,0.0,0.888889,1,0.888889,1,1,1] area_under_roc_curve 0.9 [1,1,0.0,0.0,0.555556,1,1,0.555556,1,0.0,0.888889] area_under_roc_curve 0.852778 [0.875,0.666667,0.0,0.0,0.0,1,0.777778,1,0.0,1,1] area_under_roc_curve 0.9 [1,0.666667,0.0,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.901389 [0.9375,0.625,0.0,0.0,0.0,1,0.888889,1,1,1,1] area_under_roc_curve 0.884722 [0.9375,0.875,0.0,0.0,0.777778,0.555556,1,0.888889,1,0.0,1] area_under_roc_curve 0.795238 [0.809524,0.619048,0.0,0.0,0.777778,0.888889,1,0.0,0.0,0.0,1] area_under_roc_curve 0.820833 [1,0.4375,0.0,0.0,0.888889,0.666667,1,0.888889,0.0,0.888889,1] area_under_roc_curve 0.913889 [1,0.625,0.0,0.0,1,1,1,0.888889,1,0.0,1] area_under_roc_curve 0.925 [1,0.625,0.0,0.0,0.0,1,0.0,1,1,1,1] area_under_roc_curve 0.781944 [1,0.6875,0.222222,0.0,0.0,0.555556,0.777778,0.888889,1,0.0,1] area_under_roc_curve 0.755556 [1,1,0.111111,0.0,0.777778,0.444444,0.555556,0.777778,0.0,0.0,0.888889] area_under_roc_curve 0.92381 [1,0.857143,0.0,0.0,0.0,1,0.888889,0.0,0.888889,0.888889,1] area_under_roc_curve 0.891667 [1,0.625,0.0,0.0,0.777778,1,0.0,0.888889,1,0.0,1] area_under_roc_curve 0.819444 [1,0.375,0.0,0.0,0.777778,0.777778,1,0.888889,1,0.0,1] area_under_roc_curve 0.881944 [1,0.6875,0.0,0.0,0.777778,1,1,0.0,1,0.777778,0.888889] area_under_roc_curve 0.6375 [0.333333,0.6875,0.111111,0.0,0.0,1,0.888889,0.0,1,0.0,1] area_under_roc_curve 0.926389 [1,0.6875,0.0,0.0,0.0,1,0.888889,1,1,1,1] area_under_roc_curve 0.709722 [0.75,0.6875,0.0,0.222222,0.333333,0.777778,0.0,0.888889,0.0,1,1] area_under_roc_curve 0.933333 [1,1,0.0,0.0,0.0,0.666667,1,1,1,0.777778,0.888889] area_under_roc_curve 0.811111 [0.875,0.625,0.0,0.0,0.555556,0.777778,0.777778,1,1,0.0,1] area_under_roc_curve 0.7375 [0.8125,0.875,0.0,0.333333,0.0,0.444444,0.888889,0.666667,0.666667,0.0,1] area_under_roc_curve 0.832143 [0.875,0.857143,0.0,0.333333,0.0,0.888889,0.777778,0.0,1,0.0,1] area_under_roc_curve 0.897817 [0.904762,0.6875,0.0,0.0,1,1,0.0,0.888889,1,0.0,1] area_under_roc_curve 0.893056 [1,0.6875,0.0,0.0,0.777778,0.777778,1,1,1,0.0,1] area_under_roc_curve 0.796032 [0.75,0.52381,0.0,0.0,0.0,0.888889,1,0.0,1,1,1] area_under_roc_curve 0.831944 [0.875,0.5625,0.0,0.666667,0.0,0.777778,1,1,1,0.0,1] area_under_roc_curve 0.952778 [1,0.875,0.0,0.0,0.0,1,0.777778,1,1,1,1] area_under_roc_curve 0.875 [1,0.875,0.0,0.555556,0.0,0.666667,0.0,1,1,0.777778,1] area_under_roc_curve 0.830556 [0.875,1,0.222222,0.0,0.0,0.777778,0.888889,0.0,0.777778,0.888889,1] area_under_roc_curve 0.845833 [0.875,0.6875,0.0,0.0,0.888889,0.555556,1,0.888889,1,0.0,1] area_under_roc_curve 0.866667 [1,1,0.0,0.666667,0.0,0.666667,1,1,0.444444,0.0,0.888889] area_under_roc_curve 0.916667 [1,0.75,0.0,0.777778,0.0,0.888889,1,0.0,1,0.0,1] area_under_roc_curve 0.779167 [1,0.5625,0.222222,0.0,0.0,0.777778,0.888889,0.777778,1,0.0,1] area_under_roc_curve 0.851389 [1,0.8125,0.222222,0.0,0.0,1,1,0.666667,1,0.0,1] area_under_roc_curve 0.788889 [1,0.666667,0,0.0,0.0,0.888889,0.0,0.0,1,1,1] area_under_roc_curve 0.798611 [0.75,0.6875,0.0,0.444444,0.0,0.777778,1,0.888889,1,0.0,1] area_under_roc_curve 0.918056 [1,0.8125,0.0,0.0,0.0,0.777778,0.888889,1,1,0.888889,1] area_under_roc_curve 0.790278 [0.9375,0.625,0.111111,0.0,0.0,1,0.0,0.888889,0.888889,0.888889,1] area_under_roc_curve 0.869709 [0.888889,0.642857,0.0,0.0,0.0,0.875,1,0.0,1,0.0,1] 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 0.906746 [1,0.642857,0.0,0.0,0.0,0.875,0.0,1,1,1,1] area_under_roc_curve 0.861111 [1,1,0.25,0.0,0.75,0.875,0.0,0.0,1,0.0,0.875] area_under_roc_curve 0.924603 [0.928571,0.857143,0.0,0.0,0.0,0.75,1,0.0,1,0.0,1] area_under_roc_curve 0.769841 [1,0.714286,0.0,0.0,0.0,0.25,1,0.375,1,0.0,0.875] area_under_roc_curve 0.923942 [0.928571,0.944444,0.0,0.0,0.0,0.875,0.0,0.0,1,0.75,1] area_under_roc_curve 0.910714 [1,0.785714,0.0,0.0,0.0,1,0.75,1,0.875,0.0,1] area_under_roc_curve 0.847222 [0.857143,0.642857,0.0,0.0,0.0,0.875,1,0.75,1,0.0,1] area_under_roc_curve 0.845238 [0.928571,1,0.0,0.0,0.0,0.375,0.0,0.0,0.5,0.875,1] area_under_roc_curve 0.902116 [0.944444,0.642857,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.773148 [0.777778,0.666667,0.0,0.625,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.863095 [0.857143,0.714286,0.0,0.0,0.0,0.875,0.0,1,1,0.75,1] area_under_roc_curve 0.861111 [1,1,0.0,0.0,0.375,0.75,0.0,1,0.625,0.0,1] area_under_roc_curve 0.884921 [1,0.857143,0.0,0.375,0.0,0.875,1,0.0,1,0.0,1] area_under_roc_curve 0.831349 [1,0.928571,0.0,0.5,0.0,0.625,0.875,0.0,0.625,0.0,1] area_under_roc_curve 0.912698 [1,0.857143,0.0,0.875,0.0,0.75,0.0,0.875,0.0,0.0,1] area_under_roc_curve 0.90873 [1,0.714286,0.0,0.0,0.0,1,0.875,0.875,1,0.0,1] area_under_roc_curve 0.912698 [1,0.857143,0.0,0.625,0.0,0.875,1,0.0,1,0.0,1] area_under_roc_curve 0.916667 [1,1,0.0,0.0,0.0,0.875,1,0.0,0.5,0.0,0.875] area_under_roc_curve 0.954365 [1,0.857143,0.0,0.0,0.875,1,1,0.0,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.5,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,0.0,0.0,1,1,1] area_under_roc_curve 0.900794 [1,0.928571,0.0,0.0,0.0,0.875,0.0,0.75,0.625,0.0,1] area_under_roc_curve 0.769841 [0.642857,0.571429,0.0,0.625,0.0,0.875,1,0.0,1,0.0,1] area_under_roc_curve 0.882275 [0.928571,0.777778,0.0,1,0.0,0.75,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.827381 [0.785714,1,0.0,0.375,0.0,0.875,0.0,1,0.625,0.0,1] area_under_roc_curve 0.912698 [1,0.857143,0.0,0.0,0.0,0.75,0.0,1,0.875,0.875,1] area_under_roc_curve 0.809524 [0.642857,0.833333,0.0,0.625,0.0,0.875,0.0,0.0,1,0.0,1] area_under_roc_curve 0.930556 [1,1,0.0,0.0,0.0,0.75,0.875,0.0,0.75,0.0,1] area_under_roc_curve 0.902778 [1,1,0.0,0.0,0.625,1,0.625,0.875,0.0,0.0,1] area_under_roc_curve 0.843254 [0.857143,0.666667,0.0,0.0,0.0,1,0.0,0.0,1,0.875,1] area_under_roc_curve 0.967593 [1,0.944444,0.0,0.0,0.0,1,0.0,0.0,1,0.875,1] area_under_roc_curve 0.925926 [0.944444,1,0.0,0.0,0.0,0.5,0.0,1,1,0.0,1] area_under_roc_curve 0.847222 [0.857143,0.642857,0.0,0.0,0.0,0.875,1,0.0,1,0.75,1] 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 0.875 [1,1,0.0,0.0,0.0,0.5,0.75,0.625,1,0.0,1] area_under_roc_curve 0.896825 [1,0.785714,0.0,0.0,0.0,0.75,0.0,0.875,1,0.875,1] area_under_roc_curve 0.819444 [0.888889,0.611111,0.0,0.0,0.0,0.875,0.0,0.0,1,0.0,1] area_under_roc_curve 0.921958 [0.857143,0.944444,0.0,0.0,0.0,0.875,0.875,0.0,1,0.0,1] 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 0.385714 [0.571429,0.571429,0,0,0,0,0,0,0,0,1] f_measure 0.266667 [0.666667,0.333333,0,0,0,0,0,0,0,0,0.666667] f_measure 0.64 [1,1,0,0,0,0,0,0,0,0,0.4] f_measure 0.32381 [0.5,0.285714,0,0,0,0,0,0,1,0,0.666667] f_measure 0.376667 [0.8,0.5,0,0,0,0,0,0,0,0,0.666667] f_measure 0.316667 [0.5,0,0,0,0,0,0,0,1,0,0.666667] f_measure 0.52381 [0.857143,0.333333,0,0,0,0,0,0,1,0,1] f_measure 0.626667 [0.8,0.666667,0,0,0,0,0,0,0.666667,0,1] f_measure 0.495238 [0.857143,0.571429,0,0,0,0,0,0,0,0,0.666667] f_measure 0.52381 [0.857143,0.333333,0,0,0,0,0,0,1,0,1] f_measure 0.352381 [0.333333,0.285714,0,0,0,0,0,0,1,0,1] f_measure 0.276667 [0.8,0.333333,0,0,0,0,0,0,0,0,0.5] f_measure 0.506667 [0.8,0.666667,0,0,0,0,0,0,0,0,0.666667] f_measure 0.393333 [0.8,0.333333,0,0,0,0,0,0,1,0,0.666667] f_measure 0.381429 [0.8,0.571429,0,0,0,0,0,0,0,0,0.5] f_measure 0.413333 [0.666667,0.4,0,0,0,0,0,0,0.666667,0,0.666667] f_measure 0.54 [0.8,0.5,0,0,0,0,0,0,1,0,1] f_measure 0.332381 [0.4,0.285714,0,0,0,0,0,0,1,0,0.666667] f_measure 0.514286 [0.5,0.571429,0,0,0,0,0,0,1,0,1] f_measure 0.32 [0.666667,0.4,0,0,0,0,0,0,0,0,0.4] f_measure 0.4 [0.666667,0.333333,0,0,0,0,0,0,0.666667,0,1] f_measure 0.340952 [0.8,0.571429,0,0,0,0,0,0,0,0,0.666667] f_measure 0.373333 [1,0.666667,0,0,0,0,0,0,0,0,0.4] f_measure 0.285714 [0.666667,0.285714,0,0,0,0,0,0,0,0,0.666667] f_measure 0.381429 [0.8,0.571429,0,0,0,0,0,0,0,0,0.5] f_measure 0.393333 [0.8,0.333333,0,0,0,0,0,0,1,0,0.666667] f_measure 0.474286 [0.8,0.571429,0,0,0,0,0,0,1,0,1] f_measure 0.4 [0.666667,0.333333,0,0,0,0,0,0,0,0,1] f_measure 0.317143 [0.8,0.285714,0,0,0,0,0,0,0,0,1] f_measure 0.417143 [0.8,0.285714,0,0,0,0,0,0,1,0,1] f_measure 0.393333 [0.666667,0,0,0,0,0,0,0,1,0,0.8] f_measure 0.28381 [0.8,0.285714,0,0,0,0,0,0,0,0,0.666667] f_measure 0.373333 [1,0.666667,0,0,0,0,0,0,0,0,0.4] f_measure 0.538095 [1,0.571429,0,0,0,0,0,0,0.666667,0,1] f_measure 0.4 [0.666667,0,0,0,0,0,0,0,1,0,1] f_measure 0.28381 [0.8,0.285714,0,0,0,0,0,0,0,0,0.666667] f_measure 0.276667 [0.8,0.333333,0,0,0,0,0,0,0,0,0.5] f_measure 0.133333 [0,0.333333,0,0,0,0,0,0,0,0,0.666667] f_measure 0.480952 [1,0.571429,0,0,0,0,0,0,1,0,0.666667] f_measure 0.260952 [0.4,0.571429,0,0,0,0,0,0,0,0,0.666667] f_measure 0.480952 [1,0.571429,0,0,0,0,0,0,1,0,0.666667] f_measure 0.20381 [0.4,0.285714,0,0,0,0,0,0,0,0,0.666667] f_measure 0.266667 [0.5,0.5,0,0,0,0,0,0,0,0,0.666667] f_measure 0.371429 [0.666667,0.571429,0,0,0,0,0,0,0,0,0.666667] f_measure 0.28 [0,0.4,0,0,0,0,0,0,1,0,1] f_measure 0.4 [0.666667,0.333333,0,0,0,0,0,0,1,0,1] f_measure 0.280952 [0.571429,0,0,0,0,0,0,0,1,0,0.666667] f_measure 0.266667 [0.666667,0.333333,0,0,0,0,0,0,0,0,0.666667] f_measure 0.393333 [0.8,0.333333,0,0,0,0,0,0,1,0,0.666667] f_measure 0.164286 [0.571429,0,0,0,0,0,0,0,0,0,0.5] f_measure 0.216667 [0.5,0.333333,0,0,0,0,0,0,0,0,0.5] f_measure 0.422222 [0.666667,0.444444,0,0,0,0,0,0,1,0,1] f_measure 0.343333 [0.666667,0.8,0,0,0,0,0,0,0,0,0.5] f_measure 0.513333 [0.666667,0.4,0,0,0,0,0,0,1,0,1] f_measure 0.5 [1,0.5,0,0,0,0,0,0,1,0,1] f_measure 0.5 [1,0.5,0,0,0,0,0,0,1,0,1] f_measure 0.371429 [0.666667,0.571429,0,0,0,0,0,0,0,0,0.666667] f_measure 0.337143 [0.4,0.285714,0,0,0,0,0,0,1,0,1] f_measure 0.276667 [0.8,0.333333,0,0,0,0,0,0,0,0,0.5] f_measure 0.276667 [0.8,0.333333,0,0,0,0,0,0,0,0,0.5] f_measure 0.419048 [0.4,0.285714,0,0,0,0,0,0,1,0,1] f_measure 0.486772 [0.571429,0,0,0,0,0,0,0,0.666667,0,1] f_measure 0.203704 [0.666667,0,0,0,0,0,0,0,0,0,0.5] f_measure 0.444444 [0.8,1,0,0,0,0,0,0,0,0,0.4] f_measure 0.444444 [0.8,0.4,0,0,0,0,0,0,0,0,0.8] f_measure 0.355556 [1,0.4,0,0,0,0,0,0,0,0,0.4] f_measure 0.466667 [0.666667,0.4,0,0,0,0,0,0,0.666667,0,1] f_measure 0.352381 [0.8,0.285714,0,0,0,0,0,0,0,0,1] f_measure 0.333333 [0.666667,0.333333,0,0,0,0,0,0,0,0,1] f_measure 0.444444 [0.8,0.4,0,0,0,0,0,0,0,0,0.8] f_measure 0.518519 [0.666667,0.333333,0,0,0,0,0,0,1,0,1] f_measure 0.259259 [0.444444,0,0,0,0,0,0,0,0,0,1] f_measure 0.37037 [0.5,0.333333,0,0,0,0,0,0,1,0,0.666667] f_measure 0.4 [0.8,0.666667,0,0,0,0,0,0,0,0,0.666667] f_measure 0.407407 [0.666667,0.666667,0,0,0,0,0,0,0,0,1] f_measure 0.312169 [0.571429,0.5,0,0,0,0,0,0,0,0,0.666667] f_measure 0.459259 [0.666667,0.4,0,0,0,0,0,0,0,0,1] f_measure 0.325926 [0.8,0.333333,0,0,0,0,0,0,0,0,0.666667] f_measure 0.311111 [0.666667,0.4,0,0,0,0,0,0,0,0,0.666667] f_measure 0.566667 [0.8,1,0,0,0,0,0,0,0,0,0.5] f_measure 0.571429 [1,0.571429,0,0,0,0,0,0,1,0,1] f_measure 0.349206 [0.571429,0.333333,0,0,0,0,0,0,0,0,1] f_measure 0.466667 [0.666667,0.4,0,0,0,0,0,0,1,0,0.666667] f_measure 0.444444 [0.666667,0.666667,0,0,0,0,0,0,0,0,0.666667] f_measure 0.296296 [0.333333,0,0,0,0,0,0,0,1,0,1] f_measure 0.48254 [0.571429,0.4,0,0,0,0,0,0,0,0,1] f_measure 0.425926 [0.666667,1,0,0,0,0,0,0,0,0,0.5] f_measure 0.425926 [1,0.666667,0,0,0,0,0,0,0,0,0.5] f_measure 0.259259 [0.333333,0.333333,0,0,0,0,0,0,0,0,0.666667] f_measure 0.537566 [0.8,0.857143,0,0,0,0,0,0,0,0,0.666667] f_measure 0.444444 [1,0.8,0,0,0,0,0,0,0,0,0.4] f_measure 0.455556 [0.8,0.666667,0,0,0,0,0,0,0,0,0.5] f_measure 0.693122 [1,0.857143,0,0,0,0,0,0,0.666667,0,1] f_measure 0.566667 [1,0.8,0,0,0,0,0,0,0,0,0.5] f_measure 0.203704 [0.666667,0,0,0,0,0,0,0,0,0,0.5] f_measure 0.337037 [0.666667,0.4,0,0,0,0,0,0,0,0,0.5] f_measure 0.4 [0.8,0.666667,0,0,0,0,0,0,0,0,0.666667] f_measure 0.555556 [1,0.666667,0,0,0,0,0,0,1,0,0.666667] f_measure 0.605556 [0.75,0.4,0,0,0,0,0,0,1,0,1] f_measure 0.385185 [0.4,0.333333,0,0,0,0,0,0,0.666667,0,1] kappa 0.350649 kappa 0.268293 kappa 0.615385 kappa 0.277108 kappa 0.350649 kappa 0.210526 kappa 0.487179 kappa 0.620253 kappa 0.459459 kappa 0.487179 kappa 0.230769 kappa 0.277108 kappa 0.487179 kappa 0.39759 kappa 0.367089 kappa 0.382716 kappa 0.5 kappa 0.240506 kappa 0.506173 kappa 0.259259 kappa 0.375 kappa 0.390244 kappa 0.404762 kappa 0.230769 kappa 0.367089 kappa 0.39759 kappa 0.512195 kappa 0.305556 kappa 0.277108 kappa 0.390244 kappa 0.382716 kappa 0.268293 kappa 0.404762 kappa 0.506173 kappa 0.342105 kappa 0.268293 kappa 0.277108 kappa -0.025641 kappa 0.518072 kappa 0.268293 kappa 0.518072 kappa 0.146341 kappa 0.268293 kappa 0.358974 kappa 0.268293 kappa 0.390244 kappa 0.259259 kappa 0.268293 kappa 0.39759 kappa 0.156627 kappa 0.166667 kappa 0.390244 kappa 0.39759 kappa 0.506173 kappa 0.512195 kappa 0.512195 kappa 0.358974 kappa 0.268293 kappa 0.277108 kappa 0.277108 kappa 0.285714 kappa 0.409836 kappa 0.181818 kappa 0.462687 kappa 0.428571 kappa 0.328358 kappa 0.4375 kappa 0.296875 kappa 0.296875 kappa 0.428571 kappa 0.419355 kappa 0.035714 kappa 0.318182 kappa 0.446154 kappa 0.4375 kappa 0.307692 kappa 0.428571 kappa 0.307692 kappa 0.307692 kappa 0.571429 kappa 0.584615 kappa 0.262295 kappa 0.4375 kappa 0.419355 kappa 0.169231 kappa 0.409836 kappa 0.454545 kappa 0.454545 kappa 0.129032 kappa 0.557377 kappa 0.462687 kappa 0.428571 kappa 0.709677 kappa 0.571429 kappa 0.181818 kappa 0.296875 kappa 0.446154 kappa 0.590909 kappa 0.534483 kappa 0.285714 kb_relative_information_score 2.064724 kb_relative_information_score 2.663767 kb_relative_information_score 2.755945 kb_relative_information_score 2.616051 kb_relative_information_score 2.122219 kb_relative_information_score 1.922852 kb_relative_information_score 3.470626 kb_relative_information_score 2.459675 kb_relative_information_score 1.931213 kb_relative_information_score 3.082683 kb_relative_information_score 2.019433 kb_relative_information_score 2.165704 kb_relative_information_score 1.844304 kb_relative_information_score 2.623297 kb_relative_information_score 1.931687 kb_relative_information_score 2.573374 kb_relative_information_score 2.684544 kb_relative_information_score 1.692746 kb_relative_information_score 2.649428 kb_relative_information_score 1.974795 kb_relative_information_score 2.457247 kb_relative_information_score 3.055003 kb_relative_information_score 2.138222 kb_relative_information_score 2.18624 kb_relative_information_score 2.065125 kb_relative_information_score 2.380713 kb_relative_information_score 2.80959 kb_relative_information_score 1.752446 kb_relative_information_score 2.239507 kb_relative_information_score 2.919624 kb_relative_information_score 2.656325 kb_relative_information_score 2.468602 kb_relative_information_score 1.988168 kb_relative_information_score 2.278919 kb_relative_information_score 2.508193 kb_relative_information_score 2.408429 kb_relative_information_score 1.938188 kb_relative_information_score 1.311093 kb_relative_information_score 2.753985 kb_relative_information_score 1.415515 kb_relative_information_score 2.976103 kb_relative_information_score 2.214238 kb_relative_information_score 1.750066 kb_relative_information_score 1.836143 kb_relative_information_score 2.041746 kb_relative_information_score 2.767306 kb_relative_information_score 2.24213 kb_relative_information_score 2.500855 kb_relative_information_score 2.774572 kb_relative_information_score 2.13269 kb_relative_information_score 2.03701 kb_relative_information_score 2.502014 kb_relative_information_score 1.913656 kb_relative_information_score 2.934662 kb_relative_information_score 2.946231 kb_relative_information_score 2.883871 kb_relative_information_score 1.755718 kb_relative_information_score 2.423864 kb_relative_information_score 2.528835 kb_relative_information_score 2.174039 kb_relative_information_score 2.170297 kb_relative_information_score 2.454116 kb_relative_information_score 1.961768 kb_relative_information_score 1.771425 kb_relative_information_score 2.268689 kb_relative_information_score 1.335986 kb_relative_information_score 1.992113 kb_relative_information_score 2.312022 kb_relative_information_score 2.48813 kb_relative_information_score 1.585905 kb_relative_information_score 2.23079 kb_relative_information_score 1.468751 kb_relative_information_score 2.078517 kb_relative_information_score 1.515041 kb_relative_information_score 2.419808 kb_relative_information_score 1.6297 kb_relative_information_score 2.306755 kb_relative_information_score 2.310075 kb_relative_information_score 1.979037 kb_relative_information_score 1.650252 kb_relative_information_score 2.211548 kb_relative_information_score 1.598653 kb_relative_information_score 1.920462 kb_relative_information_score 1.572089 kb_relative_information_score 1.834603 kb_relative_information_score 1.697215 kb_relative_information_score 1.499607 kb_relative_information_score 2.093637 kb_relative_information_score 1.319772 kb_relative_information_score 2.274167 kb_relative_information_score 2.012101 kb_relative_information_score 1.689648 kb_relative_information_score 1.955547 kb_relative_information_score 1.702077 kb_relative_information_score 2.048173 kb_relative_information_score 1.806855 kb_relative_information_score 2.223599 kb_relative_information_score 2.312638 kb_relative_information_score 1.74011 kb_relative_information_score 2.162871 mean_absolute_error 0.136919 mean_absolute_error 0.137176 mean_absolute_error 0.122514 mean_absolute_error 0.138403 mean_absolute_error 0.139111 mean_absolute_error 0.134257 mean_absolute_error 0.124059 mean_absolute_error 0.132068 mean_absolute_error 0.133295 mean_absolute_error 0.129922 mean_absolute_error 0.139475 mean_absolute_error 0.14139 mean_absolute_error 0.140196 mean_absolute_error 0.136928 mean_absolute_error 0.139114 mean_absolute_error 0.132605 mean_absolute_error 0.135796 mean_absolute_error 0.141326 mean_absolute_error 0.135829 mean_absolute_error 0.135047 mean_absolute_error 0.133265 mean_absolute_error 0.13353 mean_absolute_error 0.13797 mean_absolute_error 0.138398 mean_absolute_error 0.138049 mean_absolute_error 0.139756 mean_absolute_error 0.135827 mean_absolute_error 0.137939 mean_absolute_error 0.140115 mean_absolute_error 0.134364 mean_absolute_error 0.134478 mean_absolute_error 0.138483 mean_absolute_error 0.138559 mean_absolute_error 0.136379 mean_absolute_error 0.131822 mean_absolute_error 0.140511 mean_absolute_error 0.143684 mean_absolute_error 0.147299 mean_absolute_error 0.136441 mean_absolute_error 0.148576 mean_absolute_error 0.134168 mean_absolute_error 0.142569 mean_absolute_error 0.143066 mean_absolute_error 0.140143 mean_absolute_error 0.140697 mean_absolute_error 0.136562 mean_absolute_error 0.136245 mean_absolute_error 0.139369 mean_absolute_error 0.135805 mean_absolute_error 0.139688 mean_absolute_error 0.141765 mean_absolute_error 0.140745 mean_absolute_error 0.140628 mean_absolute_error 0.131508 mean_absolute_error 0.134664 mean_absolute_error 0.135138 mean_absolute_error 0.140712 mean_absolute_error 0.140564 mean_absolute_error 0.138137 mean_absolute_error 0.140665 mean_absolute_error 0.13368 mean_absolute_error 0.12711 mean_absolute_error 0.137558 mean_absolute_error 0.137316 mean_absolute_error 0.135558 mean_absolute_error 0.145164 mean_absolute_error 0.131992 mean_absolute_error 0.136379 mean_absolute_error 0.135664 mean_absolute_error 0.139397 mean_absolute_error 0.13331 mean_absolute_error 0.133528 mean_absolute_error 0.137647 mean_absolute_error 0.140132 mean_absolute_error 0.132751 mean_absolute_error 0.140013 mean_absolute_error 0.133614 mean_absolute_error 0.133653 mean_absolute_error 0.13847 mean_absolute_error 0.135867 mean_absolute_error 0.136818 mean_absolute_error 0.136532 mean_absolute_error 0.133766 mean_absolute_error 0.135202 mean_absolute_error 0.141409 mean_absolute_error 0.135807 mean_absolute_error 0.140298 mean_absolute_error 0.135638 mean_absolute_error 0.139147 mean_absolute_error 0.125974 mean_absolute_error 0.134884 mean_absolute_error 0.136032 mean_absolute_error 0.133029 mean_absolute_error 0.133367 mean_absolute_error 0.136862 mean_absolute_error 0.13512 mean_absolute_error 0.128482 mean_absolute_error 0.134862 mean_absolute_error 0.132852 mean_absolute_error 0.13224 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 0.33 [0.4,0.5,0,0,0,0,0,0,0,0,1] precision 0.2 [0.5,0.25,0,0,0,0,0,0,0,0,0.5] precision 0.625 [1,1,0,0,0,0,0,0,0,0,0.25] precision 0.29 [0.5,0.2,0,0,0,0,0,0,1,0,0.5] precision 0.303333 [0.666667,0.4,0,0,0,0,0,0,0,0,0.5] precision 0.27 [0.4,0,0,0,0,0,0,0,1,0,0.5] precision 0.475 [0.75,0.25,0,0,0,0,0,0,1,0,1] precision 0.583333 [0.666667,0.666667,0,0,0,0,0,0,0.5,0,1] precision 0.425 [0.75,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.475 [0.75,0.25,0,0,0,0,0,0,1,0,1] precision 0.325 [0.25,0.25,0,0,0,0,0,0,1,0,1] precision 0.216667 [0.666667,0.25,0,0,0,0,0,0,0,0,0.333333] precision 0.5 [1,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.333333 [0.666667,0.25,0,0,0,0,0,0,1,0,0.5] precision 0.316667 [0.666667,0.5,0,0,0,0,0,0,0,0,0.333333] precision 0.366667 [0.666667,0.333333,0,0,0,0,0,0,0.5,0,0.5] precision 0.566667 [1,0.333333,0,0,0,0,0,0,1,0,1] precision 0.291667 [0.333333,0.25,0,0,0,0,0,0,1,0,0.5] precision 0.48 [0.5,0.4,0,0,0,0,0,0,1,0,1] precision 0.291667 [0.666667,0.333333,0,0,0,0,0,0,0,0,0.25] precision 0.35 [0.5,0.333333,0,0,0,0,0,0,0.5,0,1] precision 0.263333 [0.666667,0.4,0,0,0,0,0,0,0,0,0.5] precision 0.325 [1,0.5,0,0,0,0,0,0,0,0,0.25] precision 0.225 [0.5,0.25,0,0,0,0,0,0,0,0,0.5] precision 0.316667 [0.666667,0.5,0,0,0,0,0,0,0,0,0.333333] precision 0.333333 [0.666667,0.25,0,0,0,0,0,0,1,0,0.5] precision 0.413333 [0.666667,0.4,0,0,0,0,0,0,1,0,1] precision 0.35 [0.5,0.333333,0,0,0,0,0,0,0,0,1] precision 0.273333 [0.666667,0.2,0,0,0,0,0,0,0,0,1] precision 0.373333 [0.666667,0.2,0,0,0,0,0,0,1,0,1] precision 0.333333 [0.5,0,0,0,0,0,0,0,1,0,0.666667] precision 0.223333 [0.666667,0.2,0,0,0,0,0,0,0,0,0.5] precision 0.325 [1,0.5,0,0,0,0,0,0,0,0,0.25] precision 0.5 [1,0.5,0,0,0,0,0,0,0.5,0,1] precision 0.35 [0.5,0,0,0,0,0,0,0,1,0,1] precision 0.223333 [0.666667,0.2,0,0,0,0,0,0,0,0,0.5] precision 0.216667 [0.666667,0.25,0,0,0,0,0,0,0,0,0.333333] precision 0.1 [0,0.25,0,0,0,0,0,0,0,0,0.5] precision 0.43 [1,0.4,0,0,0,0,0,0,1,0,0.5] precision 0.196667 [0.333333,0.4,0,0,0,0,0,0,0,0,0.5] precision 0.43 [1,0.4,0,0,0,0,0,0,1,0,0.5] precision 0.156667 [0.333333,0.2,0,0,0,0,0,0,0,0,0.5] precision 0.216667 [0.333333,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.3 [0.5,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.25 [0,0.25,0,0,0,0,0,0,1,0,1] precision 0.35 [0.5,0.25,0,0,0,0,0,0,1,0,1] precision 0.23 [0.4,0,0,0,0,0,0,0,1,0,0.5] precision 0.2 [0.5,0.25,0,0,0,0,0,0,0,0,0.5] precision 0.333333 [0.666667,0.25,0,0,0,0,0,0,1,0,0.5] precision 0.113333 [0.4,0,0,0,0,0,0,0,0,0,0.333333] precision 0.183333 [0.5,0.25,0,0,0,0,0,0,0,0,0.333333] precision 0.457143 [1,0.285714,0,0,0,0,0,0,1,0,1] precision 0.266667 [0.5,0.666667,0,0,0,0,0,0,0,0,0.333333] precision 0.466667 [0.5,0.333333,0,0,0,0,0,0,1,0,1] precision 0.466667 [1,0.333333,0,0,0,0,0,0,1,0,1] precision 0.466667 [1,0.333333,0,0,0,0,0,0,1,0,1] precision 0.3 [0.5,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.306667 [0.333333,0.2,0,0,0,0,0,0,1,0,1] precision 0.216667 [0.666667,0.25,0,0,0,0,0,0,0,0,0.333333] precision 0.216667 [0.666667,0.25,0,0,0,0,0,0,0,0,0.333333] precision 0.433333 [0.5,0.2,0,0,0,0,0,0,1,0,1] precision 0.444444 [0.5,0,0,0,0,0,0,0,0.5,0,1] precision 0.148148 [0.5,0,0,0,0,0,0,0,0,0,0.333333] precision 0.398148 [0.666667,1,0,0,0,0,0,0,0,0,0.25] precision 0.37037 [0.666667,0.333333,0,0,0,0,0,0,0,0,0.666667] precision 0.324074 [1,0.333333,0,0,0,0,0,0,0,0,0.25] precision 0.444444 [0.5,0.5,0,0,0,0,0,0,0.5,0,1] precision 0.303704 [0.666667,0.2,0,0,0,0,0,0,0,0,1] precision 0.277778 [0.5,0.25,0,0,0,0,0,0,0,0,1] precision 0.37037 [0.666667,0.333333,0,0,0,0,0,0,0,0,0.666667] precision 0.5 [0.666667,0.25,0,0,0,0,0,0,1,0,1] precision 0.222222 [0.333333,0,0,0,0,0,0,0,0,0,1] precision 0.333333 [0.5,0.25,0,0,0,0,0,0,1,0,0.5] precision 0.314815 [0.666667,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.333333 [0.5,0.5,0,0,0,0,0,0,0,0,1] precision 0.255556 [0.4,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.407407 [0.5,0.333333,0,0,0,0,0,0,0,0,1] precision 0.259259 [0.666667,0.25,0,0,0,0,0,0,0,0,0.5] precision 0.240741 [0.5,0.333333,0,0,0,0,0,0,0,0,0.5] precision 0.518519 [0.666667,1,0,0,0,0,0,0,0,0,0.333333] precision 0.533333 [1,0.4,0,0,0,0,0,0,1,0,1] precision 0.311111 [0.4,0.333333,0,0,0,0,0,0,0,0,1] precision 0.444444 [0.5,0.5,0,0,0,0,0,0,1,0,0.5] precision 0.388889 [0.666667,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.277778 [0.25,0,0,0,0,0,0,0,1,0,1] precision 0.477778 [0.4,0.5,0,0,0,0,0,0,0,0,1] precision 0.37037 [0.5,1,0,0,0,0,0,0,0,0,0.333333] precision 0.37037 [1,0.5,0,0,0,0,0,0,0,0,0.333333] precision 0.222222 [0.25,0.333333,0,0,0,0,0,0,0,0,0.5] precision 0.453704 [0.666667,0.75,0,0,0,0,0,0,0,0,0.5] precision 0.398148 [1,0.666667,0,0,0,0,0,0,0,0,0.25] precision 0.407407 [0.666667,0.666667,0,0,0,0,0,0,0,0,0.333333] precision 0.638889 [1,0.75,0,0,0,0,0,0,0.5,0,1] precision 0.518519 [1,0.666667,0,0,0,0,0,0,0,0,0.333333] precision 0.148148 [0.5,0,0,0,0,0,0,0,0,0,0.333333] precision 0.314815 [0.5,0.5,0,0,0,0,0,0,0,0,0.333333] precision 0.314815 [0.666667,0.5,0,0,0,0,0,0,0,0,0.5] precision 0.5 [1,0.5,0,0,0,0,0,0,1,0,0.5] precision 0.588889 [0.6,0.5,0,0,0,0,0,0,1,0,1] precision 0.351852 [0.333333,0.333333,0,0,0,0,0,0,0.5,0,1] predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.2 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.3 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.444444 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.444444 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 0.5 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.7 [1,1,0,0,0,0,0,0,0,0,1] recall 0.4 [0.5,0.5,0,0,0,0,0,0,1,0,1] recall 0.5 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.4 [0.666667,0,0,0,0,0,0,0,1,0,1] recall 0.6 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.7 [1,0.666667,0,0,0,0,0,0,1,0,1] recall 0.6 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.6 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.4 [0.5,0.333333,0,0,0,0,0,0,1,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.6 [0.666667,1,0,0,0,0,0,0,0,0,1] recall 0.5 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.5 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.5 [0.666667,0.5,0,0,0,0,0,0,1,0,1] recall 0.6 [0.666667,1,0,0,0,0,0,0,1,0,1] recall 0.4 [0.5,0.333333,0,0,0,0,0,0,1,0,1] recall 0.6 [0.5,1,0,0,0,0,0,0,1,0,1] recall 0.4 [0.666667,0.5,0,0,0,0,0,0,0,0,1] recall 0.5 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.5 [1,1,0,0,0,0,0,0,0,0,1] recall 0.5 [1,1,0,0,0,0,0,0,0,0,1] recall 0.4 [1,0.333333,0,0,0,0,0,0,0,0,1] recall 0.5 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.5 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.6 [1,1,0,0,0,0,0,0,1,0,1] recall 0.5 [1,0.333333,0,0,0,0,0,0,0,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.5 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.5 [1,0,0,0,0,0,0,0,1,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.5 [1,1,0,0,0,0,0,0,0,0,1] recall 0.6 [1,0.666667,0,0,0,0,0,0,1,0,1] recall 0.5 [1,0,0,0,0,0,0,0,1,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.2 [0,0.5,0,0,0,0,0,0,0,0,1] recall 0.6 [1,1,0,0,0,0,0,0,1,0,1] recall 0.4 [0.5,1,0,0,0,0,0,0,0,0,1] recall 0.6 [1,1,0,0,0,0,0,0,1,0,1] recall 0.3 [0.5,0.5,0,0,0,0,0,0,0,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.5 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.4 [0,1,0,0,0,0,0,0,1,0,1] recall 0.5 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.4 [1,0,0,0,0,0,0,0,1,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.5 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.3 [1,0,0,0,0,0,0,0,0,0,1] recall 0.3 [0.5,0.5,0,0,0,0,0,0,0,0,1] recall 0.5 [0.5,1,0,0,0,0,0,0,1,0,1] recall 0.5 [1,1,0,0,0,0,0,0,0,0,1] recall 0.6 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.6 [1,1,0,0,0,0,0,0,1,0,1] recall 0.6 [1,1,0,0,0,0,0,0,1,0,1] recall 0.5 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.4 [0.5,0.5,0,0,0,0,0,0,1,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.4 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.444444 [0.333333,0.5,0,0,0,0,0,0,1,0,1] recall 0.555556 [0.666667,0,0,0,0,0,0,0,1,0,1] recall 0.333333 [1,0,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.444444 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.444444 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.444444 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.555556 [0.666667,0.5,0,0,0,0,0,0,1,0,1] recall 0.333333 [0.666667,0,0,0,0,0,0,0,0,0,1] recall 0.444444 [0.5,0.5,0,0,0,0,0,0,1,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.444444 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.444444 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.444444 [1,0.5,0,0,0,0,0,0,0,0,1] recall 0.666667 [1,1,0,0,0,0,0,0,0,0,1] recall 0.666667 [1,1,0,0,0,0,0,0,1,0,1] recall 0.444444 [1,0.333333,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.555556 [0.666667,1,0,0,0,0,0,0,0,0,1] recall 0.333333 [0.5,0,0,0,0,0,0,0,1,0,1] recall 0.555556 [1,0.333333,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.333333 [0.5,0.333333,0,0,0,0,0,0,0,0,1] recall 0.666667 [1,1,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,0.666667,0,0,0,0,0,0,0,0,1] recall 0.777778 [1,1,0,0,0,0,0,0,1,0,1] recall 0.666667 [1,1,0,0,0,0,0,0,0,0,1] recall 0.333333 [1,0,0,0,0,0,0,0,0,0,1] recall 0.444444 [1,0.333333,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,1,0,0,0,0,0,0,0,0,1] recall 0.666667 [1,1,0,0,0,0,0,0,1,0,1] recall 0.666667 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.444444 [0.5,0.333333,0,0,0,0,0,0,1,0,1] relative_absolute_error 0.886434 relative_absolute_error 0.873683 relative_absolute_error 0.811015 relative_absolute_error 0.881497 relative_absolute_error 0.899633 relative_absolute_error 0.886758 relative_absolute_error 0.805839 relative_absolute_error 0.861661 relative_absolute_error 0.877451 relative_absolute_error 0.843918 relative_absolute_error 0.902983 relative_absolute_error 0.900519 relative_absolute_error 0.915711 relative_absolute_error 0.872103 relative_absolute_error 0.90263 relative_absolute_error 0.859451 relative_absolute_error 0.882074 relative_absolute_error 0.912957 relative_absolute_error 0.867918 relative_absolute_error 0.877208 relative_absolute_error 0.864682 relative_absolute_error 0.850457 relative_absolute_error 0.87684 relative_absolute_error 0.895026 relative_absolute_error 0.895724 relative_absolute_error 0.890113 relative_absolute_error 0.863221 relative_absolute_error 0.905993 relative_absolute_error 0.885688 relative_absolute_error 0.853925 relative_absolute_error 0.861157 relative_absolute_error 0.879149 relative_absolute_error 0.873043 relative_absolute_error 0.884883 relative_absolute_error 0.852496 relative_absolute_error 0.892986 relative_absolute_error 0.911183 relative_absolute_error 0.951544 relative_absolute_error 0.869 relative_absolute_error 0.935156 relative_absolute_error 0.85452 relative_absolute_error 0.906065 relative_absolute_error 0.909229 relative_absolute_error 0.907309 relative_absolute_error 0.909891 relative_absolute_error 0.867891 relative_absolute_error 0.884017 relative_absolute_error 0.885729 relative_absolute_error 0.86495 relative_absolute_error 0.885848 relative_absolute_error 0.898047 relative_absolute_error 0.894473 relative_absolute_error 0.893734 relative_absolute_error 0.840309 relative_absolute_error 0.854904 relative_absolute_error 0.857917 relative_absolute_error 0.907993 relative_absolute_error 0.893322 relative_absolute_error 0.8798 relative_absolute_error 0.89108 relative_absolute_error 0.878459 relative_absolute_error 0.840494 relative_absolute_error 0.884196 relative_absolute_error 0.875204 relative_absolute_error 0.878807 relative_absolute_error 0.935355 relative_absolute_error 0.866287 relative_absolute_error 0.878751 relative_absolute_error 0.874143 relative_absolute_error 0.901484 relative_absolute_error 0.876026 relative_absolute_error 0.888483 relative_absolute_error 0.884769 relative_absolute_error 0.898558 relative_absolute_error 0.851231 relative_absolute_error 0.897793 relative_absolute_error 0.858841 relative_absolute_error 0.861181 relative_absolute_error 0.887898 relative_absolute_error 0.893938 relative_absolute_error 0.877311 relative_absolute_error 0.893872 relative_absolute_error 0.877931 relative_absolute_error 0.888457 relative_absolute_error 0.906746 relative_absolute_error 0.891331 relative_absolute_error 0.899624 relative_absolute_error 0.871855 relative_absolute_error 0.91099 relative_absolute_error 0.828849 relative_absolute_error 0.861775 relative_absolute_error 0.892808 relative_absolute_error 0.873094 relative_absolute_error 0.876401 relative_absolute_error 0.87972 relative_absolute_error 0.886819 relative_absolute_error 0.827866 relative_absolute_error 0.866863 relative_absolute_error 0.891826 relative_absolute_error 0.870074 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 0.251901 root_mean_squared_error 0.250945 root_mean_squared_error 0.224227 root_mean_squared_error 0.253665 root_mean_squared_error 0.253091 root_mean_squared_error 0.249478 root_mean_squared_error 0.229666 root_mean_squared_error 0.241173 root_mean_squared_error 0.244407 root_mean_squared_error 0.238361 root_mean_squared_error 0.256816 root_mean_squared_error 0.25846 root_mean_squared_error 0.253051 root_mean_squared_error 0.250875 root_mean_squared_error 0.252517 root_mean_squared_error 0.243986 root_mean_squared_error 0.246397 root_mean_squared_error 0.259582 root_mean_squared_error 0.248329 root_mean_squared_error 0.250603 root_mean_squared_error 0.245125 root_mean_squared_error 0.244679 root_mean_squared_error 0.253182 root_mean_squared_error 0.254405 root_mean_squared_error 0.251963 root_mean_squared_error 0.254968 root_mean_squared_error 0.248726 root_mean_squared_error 0.252925 root_mean_squared_error 0.260095 root_mean_squared_error 0.247882 root_mean_squared_error 0.246373 root_mean_squared_error 0.254705 root_mean_squared_error 0.255545 root_mean_squared_error 0.248703 root_mean_squared_error 0.244886 root_mean_squared_error 0.256259 root_mean_squared_error 0.262537 root_mean_squared_error 0.267816 root_mean_squared_error 0.249564 root_mean_squared_error 0.271962 root_mean_squared_error 0.245279 root_mean_squared_error 0.25987 root_mean_squared_error 0.263924 root_mean_squared_error 0.255651 root_mean_squared_error 0.25629 root_mean_squared_error 0.250782 root_mean_squared_error 0.252028 root_mean_squared_error 0.256746 root_mean_squared_error 0.248861 root_mean_squared_error 0.257889 root_mean_squared_error 0.26086 root_mean_squared_error 0.256604 root_mean_squared_error 0.257317 root_mean_squared_error 0.242237 root_mean_squared_error 0.247695 root_mean_squared_error 0.248856 root_mean_squared_error 0.255987 root_mean_squared_error 0.259002 root_mean_squared_error 0.252939 root_mean_squared_error 0.260062 root_mean_squared_error 0.243908 root_mean_squared_error 0.231423 root_mean_squared_error 0.254364 root_mean_squared_error 0.252184 root_mean_squared_error 0.245273 root_mean_squared_error 0.260403 root_mean_squared_error 0.242757 root_mean_squared_error 0.247588 root_mean_squared_error 0.247872 root_mean_squared_error 0.251884 root_mean_squared_error 0.243075 root_mean_squared_error 0.246836 root_mean_squared_error 0.252433 root_mean_squared_error 0.256875 root_mean_squared_error 0.245263 root_mean_squared_error 0.256339 root_mean_squared_error 0.246251 root_mean_squared_error 0.244975 root_mean_squared_error 0.252559 root_mean_squared_error 0.245745 root_mean_squared_error 0.248869 root_mean_squared_error 0.250243 root_mean_squared_error 0.245399 root_mean_squared_error 0.246326 root_mean_squared_error 0.259349 root_mean_squared_error 0.248071 root_mean_squared_error 0.256582 root_mean_squared_error 0.247415 root_mean_squared_error 0.25583 root_mean_squared_error 0.231012 root_mean_squared_error 0.247737 root_mean_squared_error 0.249343 root_mean_squared_error 0.242539 root_mean_squared_error 0.243557 root_mean_squared_error 0.252124 root_mean_squared_error 0.246408 root_mean_squared_error 0.237929 root_mean_squared_error 0.246366 root_mean_squared_error 0.24177 root_mean_squared_error 0.24087 root_relative_squared_error 0.911494 root_relative_squared_error 0.893253 root_relative_squared_error 0.830034 root_relative_squared_error 0.902936 root_relative_squared_error 0.914784 root_relative_squared_error 0.921364 root_relative_squared_error 0.833826 root_relative_squared_error 0.879551 root_relative_squared_error 0.899514 root_relative_squared_error 0.865392 root_relative_squared_error 0.92928 root_relative_squared_error 0.920002 root_relative_squared_error 0.923916 root_relative_squared_error 0.893005 root_relative_squared_error 0.915762 root_relative_squared_error 0.883838 root_relative_squared_error 0.89457 root_relative_squared_error 0.937204 root_relative_squared_error 0.886808 root_relative_squared_error 0.909838 root_relative_squared_error 0.888957 root_relative_squared_error 0.870948 root_relative_squared_error 0.899283 root_relative_squared_error 0.919531 root_relative_squared_error 0.913755 root_relative_squared_error 0.907573 root_relative_squared_error 0.883454 root_relative_squared_error 0.928728 root_relative_squared_error 0.918922 root_relative_squared_error 0.880457 root_relative_squared_error 0.881736 root_relative_squared_error 0.903721 root_relative_squared_error 0.899989 root_relative_squared_error 0.901931 root_relative_squared_error 0.885129 root_relative_squared_error 0.910211 root_relative_squared_error 0.930516 root_relative_squared_error 0.966935 root_relative_squared_error 0.888337 root_relative_squared_error 0.956799 root_relative_squared_error 0.873083 root_relative_squared_error 0.923038 root_relative_squared_error 0.937437 root_relative_squared_error 0.925063 root_relative_squared_error 0.926347 root_relative_squared_error 0.890756 root_relative_squared_error 0.913989 root_relative_squared_error 0.91194 root_relative_squared_error 0.885834 root_relative_squared_error 0.914044 root_relative_squared_error 0.923588 root_relative_squared_error 0.911436 root_relative_squared_error 0.913969 root_relative_squared_error 0.865053 root_relative_squared_error 0.87885 root_relative_squared_error 0.882969 root_relative_squared_error 0.923205 root_relative_squared_error 0.919953 root_relative_squared_error 0.900349 root_relative_squared_error 0.920762 root_relative_squared_error 0.896075 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