462631 2 Joaquin Vanschoren 4648 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 1109 lymphoma_11classes https://www.openml.org/data/download/53992/lymphoma_11classes.arff -1 1626495 description https://api.openml.org/data/download/1626495/weka_generated_run3546848102140670405.xml -1 1626498 model_readable https://api.openml.org/data/download/1626498/WekaModel_weka.classifiers.functions.LibSVM770016815705330151.model -1 1626497 model_serialized https://api.openml.org/data/download/1626497/WekaSerialized_weka.classifiers.functions.LibSVM6108403510933321559.model -1 1626496 predictions https://api.openml.org/data/download/1626496/weka_generated_predictions7489478643805125426.arff area_under_roc_curve 0.910342 [0.934828,0.917004,0.5,0.5,0.5,1,1,0.913333,0.987931,0.5,0.987647] average_cost 0 f_measure 0.813802 [0.870488,0.856549,0,0,0,1,1,0.862069,0.895522,0,0.912863] kappa 0.826089 kb_relative_information_score 742.969533 mean_absolute_error 0.026326 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 0.778497 [0.816733,0.820717,0,0,0,1,1,0.892857,0.810811,0,0.839695] predictive_accuracy 0.855208 prior_entropy 3.089168 recall 0.855208 [0.931818,0.895652,0,0,0,1,1,0.833333,1,0,1] relative_absolute_error 0.169706 root_mean_prior_squared_error 0.277562 root_mean_squared_error 0.162252 root_relative_squared_error 0.584562 scimark_benchmark 938.549801 [557.7999961202322, 1009.1411391007196, 475.107003774767, 903.6332227912708, 1747.0676455404612] total_cost 0 usercpu_time_millis 4010 usercpu_time_millis_testing 1280 usercpu_time_millis_training 2730 area_under_roc_curve 0.9375 [0.9375,1,0.0,0.5,0.0,1,0.0,1,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,1,0.5,0.944444] area_under_roc_curve 0.928571 [0.833333,0.928571,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,1,0.5,0.944444] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,0.0,0.5,0.944444] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,0.0,0.0,0.944444,0.5,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,0.0,0.0,0.944444,0.5,1] area_under_roc_curve 0.878571 [0.833333,0.928571,0.5,0.0,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.794643 [0.6875,0.857143,0.0,0.5,0.0,1,0.0,0.5,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,0.944444,0.5,1] area_under_roc_curve 0.866071 [0.761905,0.6875,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.881944 [0.9375,0.75,0.0,0.0,0.0,1,1,1,0.944444,0.5,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,0.0,1,0.944444,0.5,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,0.0,1,1,0.5,0.944444] area_under_roc_curve 0.9375 [0.833333,0.9375,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.801587 [0.75,0.857143,0.0,0.0,0.5,1,0.0,0.0,1,0.5,0.944444] area_under_roc_curve 0.9375 [0.9375,1,0.0,0.0,0.5,1,0.0,1,1,0.0,1] area_under_roc_curve 0.9375 [0.833333,0.9375,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.881944 [0.9375,0.833333,0.0,0.0,0.0,1,0.0,1,0.944444,0.5,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,0.944444,0.5,1] area_under_roc_curve 0.9375 [1,0.9375,0.0,0.0,0.5,1,1,1,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,0.0,0.5,0.944444] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,0.0,1,0.944444,0.5,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,1,0.5,0.944444] area_under_roc_curve 0.9375 [1,0.9375,0.0,0.0,0.5,1,1,1,1,0.0,1] area_under_roc_curve 0.857143 [0.928571,0.761905,0.0,0.0,0.5,1,1,0.0,0.0,0.0,1] area_under_roc_curve 0.825 [1,0.875,0.0,0.0,0.5,1,1,0.5,0.0,0.5,1] area_under_roc_curve 0.875 [1,0.875,0.0,0.0,0.5,1,1,0.5,1,0.0,1] area_under_roc_curve 0.881944 [0.9375,0.75,0.0,0.0,0.0,1,0.0,1,0.944444,0.5,1] area_under_roc_curve 0.944444 [1,1,0.5,0.0,0.0,1,1,0.944444,1,0.0,1] area_under_roc_curve 0.875 [1,0.875,0.5,0.0,0.5,1,1,1,0.0,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,0.0,0.944444,0.5,1] area_under_roc_curve 0.866071 [0.928571,0.6875,0.0,0.0,0.5,1,0.0,1,1,0.0,1] area_under_roc_curve 0.8125 [0.9375,0.625,0.0,0.0,0.5,1,1,0.5,1,0.0,1] area_under_roc_curve 0.881944 [1,0.9375,0.0,0.0,0.5,1,1,0.0,1,0.5,0.944444] area_under_roc_curve 0.95 [1,1,0.5,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,1,0.5,0.944444] area_under_roc_curve 0.825 [0.875,1,0.0,0.5,0.5,1,0.0,1,0.0,0.5,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,1,0.5,0.944444] area_under_roc_curve 0.9375 [0.9375,1,0.0,0.0,0.5,1,1,1,1,0.0,1] area_under_roc_curve 0.875 [0.875,0.75,0.0,0.5,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.9375 [0.9375,1,0.0,0.5,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.875 [1,0.875,0.0,0.0,0.5,1,0.0,0.5,1,0.0,1] area_under_roc_curve 0.9375 [1,0.9375,0.0,0.0,0.5,1,1,1,1,0.0,1] area_under_roc_curve 0.881944 [0.9375,0.833333,0.0,0.0,0.0,1,1,0.0,1,0.5,0.944444] area_under_roc_curve 0.9375 [0.9375,1,0.0,0.5,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,1,1,1,1,0.5,0.944444] area_under_roc_curve 0.819444 [0.875,0.75,0.0,0.5,0.0,1,0.0,1,1,0.5,0.944444] area_under_roc_curve 0.894444 [1,1,0.5,0.0,0.0,1,1,0.0,1,0.5,0.944444] area_under_roc_curve 0.875 [1,0.875,0.0,0.0,0.5,1,1,0.5,1,0.0,1] area_under_roc_curve 0.875 [0.875,0.75,0.0,0.5,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.944444 [1,1,0.0,0.5,0.0,1,1,0.0,0.944444,0.0,1] area_under_roc_curve 0.875 [0.75,0.875,0.5,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.9375 [1,0.9375,0.5,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.769444 [0.875,0.666667,0.5,0.0,0.0,1,0.0,0.0,0.944444,0.5,1] area_under_roc_curve 0.875 [0.6875,0.9375,0.0,0.5,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.881944 [0.9375,0.75,0.0,0.0,0.0,1,1,1,1,0.5,0.944444] area_under_roc_curve 0.881944 [1,0.9375,0.5,0.0,0.0,1,0.0,1,0.944444,0.5,1] 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 0.916667 [0.916667,0.75,0.0,0.0,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.866071 [0.928571,0.75,0.0,0.0,0.0,1,0.0,1,0.9375,0.5,1] area_under_roc_curve 0.873016 [1,0.928571,0.5,0.0,0.5,1,0.0,0.0,1,0.0,1] 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 1 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.9375 [1,1,0.0,0.0,0.0,1,0.0,0.0,0.9375,0.5,1] 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 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.857143 [0.928571,0.75,0.0,0.0,0.0,1,0.0,0.0,1,0.5,0.928571] 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 0.916667 [0.916667,1,0.0,0.5,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.866071 [1,0.928571,0.0,0.0,0.0,1,0.0,0.5,1,0.5,0.9375] area_under_roc_curve 0.928571 [0.928571,1,0.0,0.0,0.5,1,0.0,1,1,0.0,1] area_under_roc_curve 0.928571 [0.928571,1,0.0,0.5,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.857143 [0.857143,0.75,0.0,0.5,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.928571 [0.928571,1,0.0,0.5,0.0,1,0.0,1,0.0,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.794643 [0.678571,0.678571,0.0,0.5,0.0,1,1,0.0,0.9375,0.0,1] area_under_roc_curve 0.928571 [0.928571,0.833333,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.928571 [1,0.928571,0.0,0.0,0.5,1,1,0.0,1,0.0,1] area_under_roc_curve 0.845238 [0.678571,0.916667,0.0,0.5,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.9375 [1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.5,0.9375] area_under_roc_curve 0.845238 [0.75,0.678571,0.0,0.0,0.0,1,0.0,1,1,0.0,1] area_under_roc_curve 0.857143 [0.678571,0.928571,0.0,0.5,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.845238 [0.678571,0.916667,0.0,0.5,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.857143 [0.928571,0.928571,0.0,0.5,0.0,1,0.0,0.5,1,0.0,1] area_under_roc_curve 0.866071 [1,0.928571,0.0,0.0,0.0,1,0.0,0.5,0.9375,0.5,1] area_under_roc_curve 0.928571 [0.928571,1,0.0,0.5,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.928571 [1,0.928571,0.0,0.0,0.5,1,1,1,0.0,0.0,1] area_under_roc_curve 0.866071 [0.928571,0.833333,0.0,0.0,0.0,1,0.0,0.0,1,0.5,0.9375] area_under_roc_curve 0.9375 [1,1,0.0,0.0,0.0,1,0.0,0.0,0.9375,0.5,1] area_under_roc_curve 0.928571 [1,0.928571,0.0,0.0,0.0,1,0.0,0.5,1,0.0,1] area_under_roc_curve 0.866071 [0.928571,0.75,0.0,0.0,0.0,1,1,0.0,1,0.5,0.9375] area_under_roc_curve 0.9375 [1,1,0.0,0.0,0.0,1,0.0,0.0,0.9375,0.5,1] area_under_roc_curve 1 [1,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.9375 [1,1,0.0,0.0,0.0,1,0.0,1,1,0.5,0.9375] area_under_roc_curve 0.916667 [0.916667,0.833333,0.0,0.0,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.916667 [0.75,0.916667,0.0,0.0,0.0,1,1,0.0,1,0.0,1] 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 0.86 [0.8,1,0,0,0,1,0,1,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,1,0,0.666667] f_measure 0.897143 [0.8,0.857143,0,0,0,1,1,0,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,1,0,0.666667] f_measure 0.866667 [1,1,0,0,0,1,1,1,0,0,0.666667] f_measure 0.866667 [1,1,0,0,0,1,0,0,0.666667,0,1] f_measure 1 [1,1,0,0,0,1,1,1,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,0,0,0.666667,0,1] f_measure 0.797143 [0.8,0.857143,0,0,0,1,0,0,1,0,1] f_measure 1 [1,1,0,0,0,1,1,1,1,0,1] f_measure 0.625 [0.5,0.75,0,0,0,1,0,0,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,0.666667,0,1] f_measure 0.8 [0.666667,0.5,0,0,0,1,1,0,1,0,1] f_measure 0.76 [0.8,0.666667,0,0,0,1,1,1,0.666667,0,1] f_measure 0.866667 [1,1,0,0,0,1,0,1,0.666667,0,1] f_measure 0.866667 [1,1,0,0,0,1,0,1,1,0,0.666667] f_measure 0.9 [0.8,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.625 [0.666667,0.75,0,0,0,1,0,0,1,0,0.666667] f_measure 0.86 [0.8,1,0,0,0,1,0,1,1,0,1] f_measure 0.9 [0.8,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.766667 [0.8,0.8,0,0,0,1,0,1,0.666667,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,0.666667,0,1] f_measure 0.86 [1,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,0,0,0.666667] f_measure 0.866667 [1,1,0,0,0,1,0,1,0.666667,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,1,0,0.666667] f_measure 0.86 [1,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.757143 [0.857143,0.666667,0,0,0,1,1,0,0,0,1] f_measure 0.633333 [1,0.666667,0,0,0,1,1,0,0,0,1] f_measure 0.733333 [1,0.666667,0,0,0,1,1,0,1,0,1] f_measure 0.76 [0.8,0.666667,0,0,0,1,0,1,0.666667,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,0.666667,1,0,1] f_measure 0.733333 [1,0.666667,0,0,0,1,1,1,0,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,0,0.666667,0,1] f_measure 0.757143 [0.857143,0.5,0,0,0,1,0,1,1,0,1] f_measure 0.64 [0.8,0.4,0,0,0,1,1,0,1,0,1] f_measure 0.726667 [1,0.8,0,0,0,1,1,0,1,0,0.666667] f_measure 0.9 [1,1,0,0,0,1,1,0,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,1,0,0.666667] f_measure 0.633333 [0.666667,1,0,0,0,1,0,1,0,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,1,0,0.666667] f_measure 0.86 [0.8,1,0,0,0,1,1,1,1,0,1] f_measure 0.766667 [0.666667,0.666667,0,0,0,1,1,1,1,0,1] f_measure 0.86 [0.8,1,0,0,0,1,1,0,1,0,1] f_measure 0.733333 [1,0.666667,0,0,0,1,0,0,1,0,1] f_measure 0.86 [1,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.766667 [0.8,0.8,0,0,0,1,1,0,1,0,0.666667] f_measure 0.86 [0.8,1,0,0,0,1,1,1,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,1,1,0,0.666667] f_measure 0.633333 [0.666667,0.666667,0,0,0,1,0,1,1,0,0.666667] f_measure 0.766667 [1,1,0,0,0,1,1,0,1,0,0.666667] f_measure 0.733333 [1,0.666667,0,0,0,1,1,0,1,0,1] f_measure 0.766667 [0.666667,0.666667,0,0,0,1,1,1,1,0,1] f_measure 0.866667 [1,1,0,0,0,1,1,0,0.666667,0,1] f_measure 0.766667 [0.666667,0.666667,0,0,0,1,1,1,1,0,1] f_measure 0.86 [1,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.55 [0.666667,0.5,0,0,0,1,0,0,0.666667,0,1] f_measure 0.76 [0.5,0.8,0,0,0,1,1,1,1,0,1] f_measure 0.76 [0.8,0.666667,0,0,0,1,1,1,1,0,0.666667] f_measure 0.726667 [1,0.8,0,0,0,1,0,1,0.666667,0,1] f_measure 1 [1,1,0,0,0,1,1,0,1,0,1] f_measure 0.878307 [0.857143,0.666667,0,0,0,1,0,0,1,0,1] f_measure 0.733333 [0.8,0.666667,0,0,0,1,0,1,0.666667,0,1] f_measure 0.733333 [1,0.8,0,0,0,1,0,0,1,0,1] f_measure 1 [1,1,0,0,0,1,1,0,1,0,1] 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 1 [1,1,0,0,0,1,1,1,1,0,1] f_measure 1 [1,1,0,0,0,1,1,1,1,0,1] f_measure 0.725926 [0.8,0.666667,0,0,0,1,0,0,1,0,0.8] f_measure 1 [1,1,0,0,0,1,1,0,1,0,1] f_measure 0.84127 [0.857143,1,0,0,0,1,0,0,0,0,1] f_measure 0.696296 [1,0.8,0,0,0,1,0,0,1,0,0.666667] f_measure 0.844444 [0.8,1,0,0,0,1,0,1,1,0,1] f_measure 0.844444 [0.8,1,0,0,0,1,1,0,1,0,1] f_measure 0.740741 [0.666667,0.666667,0,0,0,1,1,0,1,0,1] f_measure 0.844444 [0.8,1,0,0,0,1,0,1,0,0,1] f_measure 1 [1,1,0,0,0,1,1,1,1,0,1] f_measure 0.62963 [0.5,0.5,0,0,0,1,1,0,0.666667,0,1] 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 0.730159 [0.5,0.857143,0,0,0,1,0,0,1,0,1] f_measure 0.851852 [1,1,0,0,0,1,0,0,1,0,0.666667] f_measure 0.777778 [0.666667,0.5,0,0,0,1,0,1,1,0,1] f_measure 0.733333 [0.5,0.8,0,0,0,1,1,0,1,0,1] f_measure 0.730159 [0.5,0.857143,0,0,0,1,0,0,0,0,1] f_measure 0.688889 [0.8,0.8,0,0,0,1,0,0,1,0,1] f_measure 0.696296 [1,0.8,0,0,0,1,0,0,0.666667,0,1] f_measure 0.844444 [0.8,1,0,0,0,1,0,0,1,0,1] f_measure 1 [1,1,0,0,0,1,1,0,1,0,1] f_measure 0.844444 [1,0.8,0,0,0,1,1,1,0,0,1] f_measure 0.740741 [0.8,0.8,0,0,0,1,0,0,1,0,0.666667] f_measure 0.851852 [1,1,0,0,0,1,0,0,0.666667,0,1] f_measure 0.844444 [1,0.8,0,0,0,1,0,0,1,0,1] f_measure 0.733333 [0.8,0.666667,0,0,0,1,1,0,1,0,0.666667] f_measure 0.851852 [1,1,0,0,0,1,0,0,0.666667,0,1] f_measure 1 [1,1,0,0,0,1,1,1,1,0,1] f_measure 0.851852 [1,1,0,0,0,1,0,1,1,0,0.666667] f_measure 0.885714 [0.857143,0.8,0,0,0,1,0,0,1,0,1] f_measure 0.878307 [0.666667,0.857143,0,0,0,1,1,0,1,0,1] kappa 0.876543 kappa 0.883721 kappa 0.871795 kappa 0.883721 kappa 0.878049 kappa 0.871795 kappa 1 kappa 0.875 kappa 0.746835 kappa 1 kappa 0.615385 kappa 0.883721 kappa 0.75 kappa 0.767442 kappa 0.878049 kappa 0.878049 kappa 0.879518 kappa 0.620253 kappa 0.879518 kappa 0.879518 kappa 0.759036 kappa 0.883721 kappa 0.882353 kappa 0.878049 kappa 0.878049 kappa 0.883721 kappa 0.882353 kappa 0.736842 kappa 0.647059 kappa 0.761905 kappa 0.761905 kappa 0.883721 kappa 0.761905 kappa 0.878049 kappa 0.75 kappa 0.642857 kappa 0.764706 kappa 0.879518 kappa 0.883721 kappa 0.647059 kappa 0.883721 kappa 0.882353 kappa 0.764706 kappa 0.876543 kappa 0.75 kappa 0.882353 kappa 0.759036 kappa 0.882353 kappa 0.883721 kappa 0.647059 kappa 0.770115 kappa 0.761905 kappa 0.764706 kappa 0.880952 kappa 0.764706 kappa 0.882353 kappa 0.529412 kappa 0.764706 kappa 0.767442 kappa 0.764706 kappa 1 kappa 0.852459 kappa 0.735294 kappa 0.735294 kappa 1 kappa 1 kappa 0.859375 kappa 1 kappa 1 kappa 0.723077 kappa 1 kappa 0.844828 kappa 0.731343 kappa 0.865672 kappa 0.865672 kappa 0.731343 kappa 0.861538 kappa 1 kappa 0.602941 kappa 0.861538 kappa 0.865672 kappa 0.709677 kappa 0.859375 kappa 0.71875 kappa 0.731343 kappa 0.7 kappa 0.727273 kappa 0.731343 kappa 0.857143 kappa 1 kappa 0.865672 kappa 0.723077 kappa 0.859375 kappa 0.857143 kappa 0.735294 kappa 0.859375 kappa 1 kappa 0.867647 kappa 0.85 kappa 0.857143 kb_relative_information_score 7.981595 kb_relative_information_score 8.547959 kb_relative_information_score 7.881852 kb_relative_information_score 8.547959 kb_relative_information_score 8.139099 kb_relative_information_score 7.41697 kb_relative_information_score 9.28827 kb_relative_information_score 7.720805 kb_relative_information_score 6.599522 kb_relative_information_score 9.28827 kb_relative_information_score 5.845493 kb_relative_information_score 8.547959 kb_relative_information_score 7.388861 kb_relative_information_score 7.731256 kb_relative_information_score 7.972526 kb_relative_information_score 7.992402 kb_relative_information_score 8.457284 kb_relative_information_score 5.854741 kb_relative_information_score 8.305306 kb_relative_information_score 8.457284 kb_relative_information_score 7.155823 kb_relative_information_score 8.547959 kb_relative_information_score 8.557027 kb_relative_information_score 8.139099 kb_relative_information_score 7.972526 kb_relative_information_score 8.547959 kb_relative_information_score 8.557027 kb_relative_information_score 6.775909 kb_relative_information_score 6.122617 kb_relative_information_score 7.251911 kb_relative_information_score 7.479535 kb_relative_information_score 8.561496 kb_relative_information_score 7.44127 kb_relative_information_score 7.972526 kb_relative_information_score 7.184768 kb_relative_information_score 6.435208 kb_relative_information_score 7.261159 kb_relative_information_score 8.00594 kb_relative_information_score 8.547959 kb_relative_information_score 6.140933 kb_relative_information_score 8.547959 kb_relative_information_score 8.557027 kb_relative_information_score 7.740324 kb_relative_information_score 7.981595 kb_relative_information_score 6.696355 kb_relative_information_score 8.557027 kb_relative_information_score 7.155823 kb_relative_information_score 8.557027 kb_relative_information_score 8.547959 kb_relative_information_score 6.444456 kb_relative_information_score 7.265628 kb_relative_information_score 7.251911 kb_relative_information_score 7.740324 kb_relative_information_score 8.305306 kb_relative_information_score 7.73051 kb_relative_information_score 8.561496 kb_relative_information_score 5.05679 kb_relative_information_score 7.726041 kb_relative_information_score 7.731256 kb_relative_information_score 7.265628 kb_relative_information_score 8.014752 kb_relative_information_score 6.946328 kb_relative_information_score 6.457737 kb_relative_information_score 6.001179 kb_relative_information_score 8.318587 kb_relative_information_score 8.570308 kb_relative_information_score 6.699008 kb_relative_information_score 8.570308 kb_relative_information_score 8.570308 kb_relative_information_score 6.206017 kb_relative_information_score 8.014752 kb_relative_information_score 6.319093 kb_relative_information_score 5.969324 kb_relative_information_score 7.283509 kb_relative_information_score 7.283509 kb_relative_information_score 6.466806 kb_relative_information_score 7.198361 kb_relative_information_score 8.570308 kb_relative_information_score 5.63582 kb_relative_information_score 7.178173 kb_relative_information_score 7.283509 kb_relative_information_score 5.877091 kb_relative_information_score 6.699008 kb_relative_information_score 6.367063 kb_relative_information_score 6.452523 kb_relative_information_score 5.791943 kb_relative_information_score 5.978393 kb_relative_information_score 5.969324 kb_relative_information_score 6.708076 kb_relative_information_score 7.994876 kb_relative_information_score 7.450082 kb_relative_information_score 5.882305 kb_relative_information_score 6.699008 kb_relative_information_score 6.709636 kb_relative_information_score 6.457737 kb_relative_information_score 6.699008 kb_relative_information_score 8.570308 kb_relative_information_score 7.27444 kb_relative_information_score 6.622617 kb_relative_information_score 7.16389 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0 mean_absolute_error 0.054545 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.054545 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.054545 mean_absolute_error 0.036364 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.054545 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.054545 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.018182 mean_absolute_error 0.054545 mean_absolute_error 0.036364 mean_absolute_error 0.036364 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.036364 mean_absolute_error 0.018182 mean_absolute_error 0.072727 mean_absolute_error 0.036364 mean_absolute_error 0.036364 mean_absolute_error 0.036364 mean_absolute_error 0 mean_absolute_error 0.020202 mean_absolute_error 0.040404 mean_absolute_error 0.040404 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.020202 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.040404 mean_absolute_error 0 mean_absolute_error 0.020202 mean_absolute_error 0.040404 mean_absolute_error 0.020202 mean_absolute_error 0.020202 mean_absolute_error 0.040404 mean_absolute_error 0.020202 mean_absolute_error 0 mean_absolute_error 0.060606 mean_absolute_error 0.020202 mean_absolute_error 0.020202 mean_absolute_error 0.040404 mean_absolute_error 0.020202 mean_absolute_error 0.040404 mean_absolute_error 0.040404 mean_absolute_error 0.040404 mean_absolute_error 0.040404 mean_absolute_error 0.040404 mean_absolute_error 0.020202 mean_absolute_error 0 mean_absolute_error 0.020202 mean_absolute_error 0.040404 mean_absolute_error 0.020202 mean_absolute_error 0.020202 mean_absolute_error 0.040404 mean_absolute_error 0.020202 mean_absolute_error 0 mean_absolute_error 0.020202 mean_absolute_error 0.020202 mean_absolute_error 0.020202 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 0.833333 [0.666667,1,0,0,0,1,0,1,1,0,1] precision 0.85 [1,1,0,0,0,1,1,1,1,0,0.5] precision 0.925 [1,0.75,0,0,0,1,1,0,1,0,1] precision 0.85 [1,1,0,0,0,1,1,1,1,0,0.5] precision 0.85 [1,1,0,0,0,1,1,1,0,0,0.5] precision 0.85 [1,1,0,0,0,1,0,0,0.5,0,1] precision 1 [1,1,0,0,0,1,1,1,1,0,1] precision 0.85 [1,1,0,0,0,1,0,0,0.5,0,1] precision 0.825 [1,0.75,0,0,0,1,0,0,1,0,1] precision 1 [1,1,0,0,0,1,1,1,1,0,1] precision 0.58 [0.5,0.6,0,0,0,1,0,0,1,0,1] precision 0.85 [1,1,0,0,0,1,1,1,0.5,0,1] precision 0.8 [0.666667,0.5,0,0,0,1,1,0,1,0,1] precision 0.783333 [0.666667,1,0,0,0,1,1,1,0.5,0,1] precision 0.85 [1,1,0,0,0,1,0,1,0.5,0,1] precision 0.85 [1,1,0,0,0,1,0,1,1,0,0.5] precision 0.933333 [1,0.666667,0,0,0,1,1,1,1,0,1] precision 0.63 [1,0.6,0,0,0,1,0,0,1,0,0.5] precision 0.833333 [0.666667,1,0,0,0,1,0,1,1,0,1] precision 0.933333 [1,0.666667,0,0,0,1,1,1,1,0,1] precision 0.783333 [0.666667,1,0,0,0,1,0,1,0.5,0,1] precision 0.85 [1,1,0,0,0,1,1,1,0.5,0,1] precision 0.833333 [1,0.666667,0,0,0,1,1,1,1,0,1] precision 0.85 [1,1,0,0,0,1,1,1,0,0,0.5] precision 0.85 [1,1,0,0,0,1,0,1,0.5,0,1] precision 0.85 [1,1,0,0,0,1,1,1,1,0,0.5] precision 0.833333 [1,0.666667,0,0,0,1,1,1,1,0,1] precision 0.725 [0.75,0.666667,0,0,0,1,1,0,0,0,1] precision 0.6 [1,0.5,0,0,0,1,1,0,0,0,1] precision 0.7 [1,0.5,0,0,0,1,1,0,1,0,1] precision 0.783333 [0.666667,1,0,0,0,1,0,1,0.5,0,1] precision 0.85 [1,1,0,0,0,1,1,0.5,1,0,1] precision 0.7 [1,0.5,0,0,0,1,1,1,0,0,1] precision 0.85 [1,1,0,0,0,1,1,0,0.5,0,1] precision 0.725 [0.75,0.5,0,0,0,1,0,1,1,0,1] precision 0.6 [0.666667,0.333333,0,0,0,1,1,0,1,0,1] precision 0.683333 [1,0.666667,0,0,0,1,1,0,1,0,0.5] precision 0.9 [1,1,0,0,0,1,1,0,1,0,1] precision 0.85 [1,1,0,0,0,1,1,1,1,0,0.5] precision 0.6 [0.5,1,0,0,0,1,0,1,0,0,1] precision 0.85 [1,1,0,0,0,1,1,1,1,0,0.5] precision 0.833333 [0.666667,1,0,0,0,1,1,1,1,0,1] precision 0.8 [0.5,1,0,0,0,1,1,1,1,0,1] precision 0.833333 [0.666667,1,0,0,0,1,1,0,1,0,1] precision 0.7 [1,0.5,0,0,0,1,0,0,1,0,1] precision 0.833333 [1,0.666667,0,0,0,1,1,1,1,0,1] precision 0.783333 [0.666667,1,0,0,0,1,1,0,1,0,0.5] precision 0.833333 [0.666667,1,0,0,0,1,1,1,1,0,1] precision 0.85 [1,1,0,0,0,1,1,1,1,0,0.5] precision 0.65 [0.5,1,0,0,0,1,0,1,1,0,0.5] precision 0.75 [1,1,0,0,0,1,1,0,1,0,0.5] precision 0.7 [1,0.5,0,0,0,1,1,0,1,0,1] precision 0.8 [0.5,1,0,0,0,1,1,1,1,0,1] precision 0.85 [1,1,0,0,0,1,1,0,0.5,0,1] precision 0.8 [1,0.5,0,0,0,1,1,1,1,0,1] precision 0.833333 [1,0.666667,0,0,0,1,1,1,1,0,1] precision 0.65 [0.5,1,0,0,0,1,0,0,0.5,0,1] precision 0.733333 [0.5,0.666667,0,0,0,1,1,1,1,0,1] precision 0.783333 [0.666667,1,0,0,0,1,1,1,1,0,0.5] precision 0.683333 [1,0.666667,0,0,0,1,0,1,0.5,0,1] precision 1 [1,1,0,0,0,1,1,0,1,0,1] precision 0.916667 [0.75,1,0,0,0,1,0,0,1,0,1] precision 0.759259 [0.666667,1,0,0,0,1,0,1,0.5,0,1] precision 0.703704 [1,0.666667,0,0,0,1,0,0,1,0,1] precision 1 [1,1,0,0,0,1,1,0,1,0,1] 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 1 [1,1,0,0,0,1,1,1,1,0,1] precision 1 [1,1,0,0,0,1,1,1,1,0,1] precision 0.740741 [0.666667,1,0,0,0,1,0,0,1,0,0.666667] precision 1 [1,1,0,0,0,1,1,0,1,0,1] precision 0.805556 [0.75,1,0,0,0,1,0,0,0,0,1] precision 0.648148 [1,0.666667,0,0,0,1,0,0,1,0,0.5] precision 0.814815 [0.666667,1,0,0,0,1,0,1,1,0,1] precision 0.814815 [0.666667,1,0,0,0,1,1,0,1,0,1] precision 0.777778 [0.5,1,0,0,0,1,1,0,1,0,1] precision 0.814815 [0.666667,1,0,0,0,1,0,1,0,0,1] precision 1 [1,1,0,0,0,1,1,1,1,0,1] precision 0.611111 [0.5,0.5,0,0,0,1,1,0,0.5,0,1] 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 0.694444 [0.5,0.75,0,0,0,1,0,0,1,0,1] precision 0.833333 [1,1,0,0,0,1,0,0,1,0,0.5] precision 0.777778 [0.666667,0.5,0,0,0,1,0,1,1,0,1] precision 0.703704 [0.5,0.666667,0,0,0,1,1,0,1,0,1] precision 0.694444 [0.5,0.75,0,0,0,1,0,0,0,0,1] precision 0.62963 [0.666667,0.666667,0,0,0,1,0,0,1,0,1] precision 0.648148 [1,0.666667,0,0,0,1,0,0,0.5,0,1] precision 0.814815 [0.666667,1,0,0,0,1,0,0,1,0,1] precision 1 [1,1,0,0,0,1,1,0,1,0,1] precision 0.814815 [1,0.666667,0,0,0,1,1,1,0,0,1] precision 0.759259 [0.666667,1,0,0,0,1,0,0,1,0,0.5] precision 0.833333 [1,1,0,0,0,1,0,0,0.5,0,1] precision 0.814815 [1,0.666667,0,0,0,1,0,0,1,0,1] precision 0.759259 [0.666667,1,0,0,0,1,1,0,1,0,0.5] precision 0.833333 [1,1,0,0,0,1,0,0,0.5,0,1] precision 1 [1,1,0,0,0,1,1,1,1,0,1] precision 0.833333 [1,1,0,0,0,1,0,1,1,0,0.5] precision 0.916667 [0.75,1,0,0,0,1,0,0,1,0,1] precision 0.916667 [1,0.75,0,0,0,1,1,0,1,0,1] predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.777778 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 1 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.888889 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 0.9 [1,1,0,0,0,1,0,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.9 [0.666667,1,0,0,0,1,1,0,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,0,0,1] recall 0.9 [1,1,0,0,0,1,0,0,1,0,1] recall 1 [1,1,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,0,0,1,0,1] recall 0.8 [0.666667,1,0,0,0,1,0,0,1,0,1] recall 1 [1,1,0,0,0,1,1,1,1,0,1] recall 0.7 [0.5,1,0,0,0,1,0,0,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.8 [0.666667,0.5,0,0,0,1,1,0,1,0,1] recall 0.8 [1,0.5,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,0,1,1,0,1] recall 0.9 [1,1,0,0,0,1,0,1,1,0,1] recall 0.9 [0.666667,1,0,0,0,1,1,1,1,0,1] recall 0.7 [0.5,1,0,0,0,1,0,0,1,0,1] recall 0.9 [1,1,0,0,0,1,0,1,1,0,1] recall 0.9 [0.666667,1,0,0,0,1,1,1,1,0,1] recall 0.8 [1,0.666667,0,0,0,1,0,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,0,0,1] recall 0.9 [1,1,0,0,0,1,0,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.8 [1,0.666667,0,0,0,1,1,0,0,0,1] recall 0.7 [1,1,0,0,0,1,1,0,0,0,1] recall 0.8 [1,1,0,0,0,1,1,0,1,0,1] recall 0.8 [1,0.5,0,0,0,1,0,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.8 [1,1,0,0,0,1,1,1,0,0,1] recall 0.9 [1,1,0,0,0,1,1,0,1,0,1] recall 0.8 [1,0.5,0,0,0,1,0,1,1,0,1] recall 0.7 [1,0.5,0,0,0,1,1,0,1,0,1] recall 0.8 [1,1,0,0,0,1,1,0,1,0,1] recall 0.9 [1,1,0,0,0,1,1,0,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.7 [1,1,0,0,0,1,0,1,0,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.8 [1,0.5,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,0,1,0,1] recall 0.8 [1,1,0,0,0,1,0,0,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.8 [1,0.666667,0,0,0,1,1,0,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.7 [1,0.5,0,0,0,1,0,1,1,0,1] recall 0.8 [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 0.8 [1,0.5,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,0,1,0,1] recall 0.8 [0.5,1,0,0,0,1,1,1,1,0,1] recall 0.9 [1,1,0,0,0,1,1,1,1,0,1] recall 0.6 [1,0.333333,0,0,0,1,0,0,1,0,1] recall 0.8 [0.5,1,0,0,0,1,1,1,1,0,1] recall 0.8 [1,0.5,0,0,0,1,1,1,1,0,1] recall 0.8 [1,1,0,0,0,1,0,1,1,0,1] recall 1 [1,1,0,0,0,1,1,0,1,0,1] recall 0.888889 [1,0.5,0,0,0,1,0,0,1,0,1] 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 1 [1,1,0,0,0,1,1,0,1,0,1] 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 1 [1,1,0,0,0,1,1,1,1,0,1] recall 1 [1,1,0,0,0,1,1,1,1,0,1] recall 0.777778 [1,0.5,0,0,0,1,0,0,1,0,1] recall 1 [1,1,0,0,0,1,1,0,1,0,1] 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 0.888889 [1,1,0,0,0,1,0,1,1,0,1] recall 0.888889 [1,1,0,0,0,1,1,0,1,0,1] recall 0.777778 [1,0.5,0,0,0,1,1,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,1,0,0,1] recall 1 [1,1,0,0,0,1,1,1,1,0,1] recall 0.666667 [0.5,0.5,0,0,0,1,1,0,1,0,1] 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 0.777778 [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 0.777778 [0.666667,0.5,0,0,0,1,0,1,1,0,1] recall 0.777778 [0.5,1,0,0,0,1,1,0,1,0,1] recall 0.777778 [0.5,1,0,0,0,1,0,0,0,0,1] recall 0.777778 [1,1,0,0,0,1,0,0,1,0,1] recall 0.777778 [1,1,0,0,0,1,0,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 1 [1,1,0,0,0,1,1,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,1,1,0,0,1] 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 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 0.777778 [1,0.5,0,0,0,1,1,0,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,0,1,0,1] recall 1 [1,1,0,0,0,1,1,1,1,0,1] recall 0.888889 [1,1,0,0,0,1,0,1,1,0,1] recall 0.888889 [1,0.666667,0,0,0,1,0,0,1,0,1] recall 0.888889 [0.5,1,0,0,0,1,1,0,1,0,1] relative_absolute_error 0.117712 relative_absolute_error 0.115801 relative_absolute_error 0.12036 relative_absolute_error 0.115801 relative_absolute_error 0.117582 relative_absolute_error 0.12009 relative_absolute_error 0 relative_absolute_error 0.118625 relative_absolute_error 0.239374 relative_absolute_error 0 relative_absolute_error 0.353135 relative_absolute_error 0.115801 relative_absolute_error 0.237514 relative_absolute_error 0.231602 relative_absolute_error 0.117971 relative_absolute_error 0.117841 relative_absolute_error 0.118102 relative_absolute_error 0.35236 relative_absolute_error 0.116178 relative_absolute_error 0.118102 relative_absolute_error 0.235943 relative_absolute_error 0.115801 relative_absolute_error 0.115551 relative_absolute_error 0.117582 relative_absolute_error 0.117971 relative_absolute_error 0.115801 relative_absolute_error 0.115551 relative_absolute_error 0.238839 relative_absolute_error 0.344791 relative_absolute_error 0.231102 relative_absolute_error 0.232862 relative_absolute_error 0.115426 relative_absolute_error 0.229122 relative_absolute_error 0.117971 relative_absolute_error 0.235165 relative_absolute_error 0.346652 relative_absolute_error 0.230603 relative_absolute_error 0.117453 relative_absolute_error 0.115801 relative_absolute_error 0.343316 relative_absolute_error 0.115801 relative_absolute_error 0.115551 relative_absolute_error 0.231102 relative_absolute_error 0.117712 relative_absolute_error 0.235165 relative_absolute_error 0.115551 relative_absolute_error 0.235943 relative_absolute_error 0.115551 relative_absolute_error 0.115801 relative_absolute_error 0.345905 relative_absolute_error 0.230355 relative_absolute_error 0.231102 relative_absolute_error 0.231102 relative_absolute_error 0.116178 relative_absolute_error 0.230852 relative_absolute_error 0.115426 relative_absolute_error 0.469298 relative_absolute_error 0.231102 relative_absolute_error 0.231602 relative_absolute_error 0.230355 relative_absolute_error 0 relative_absolute_error 0.133583 relative_absolute_error 0.259709 relative_absolute_error 0.257521 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.13259 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.261294 relative_absolute_error 0 relative_absolute_error 0.134422 relative_absolute_error 0.259709 relative_absolute_error 0.12954 relative_absolute_error 0.12954 relative_absolute_error 0.25908 relative_absolute_error 0.129854 relative_absolute_error 0 relative_absolute_error 0.38862 relative_absolute_error 0.132919 relative_absolute_error 0.12954 relative_absolute_error 0.264524 relative_absolute_error 0.13259 relative_absolute_error 0.265509 relative_absolute_error 0.25908 relative_absolute_error 0.26518 relative_absolute_error 0.25908 relative_absolute_error 0.259709 relative_absolute_error 0.132262 relative_absolute_error 0 relative_absolute_error 0.129071 relative_absolute_error 0.26518 relative_absolute_error 0.13259 relative_absolute_error 0.132754 relative_absolute_error 0.259709 relative_absolute_error 0.13259 relative_absolute_error 0 relative_absolute_error 0.129854 relative_absolute_error 0.135615 relative_absolute_error 0.132919 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 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0 root_mean_squared_error 0.23355 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.23355 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.23355 root_mean_squared_error 0.190693 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.23355 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.23355 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.13484 root_mean_squared_error 0.23355 root_mean_squared_error 0.190693 root_mean_squared_error 0.190693 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.190693 root_mean_squared_error 0.13484 root_mean_squared_error 0.26968 root_mean_squared_error 0.190693 root_mean_squared_error 0.190693 root_mean_squared_error 0.190693 root_mean_squared_error 0 root_mean_squared_error 0.142134 root_mean_squared_error 0.201008 root_mean_squared_error 0.201008 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.142134 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.201008 root_mean_squared_error 0 root_mean_squared_error 0.142134 root_mean_squared_error 0.201008 root_mean_squared_error 0.142134 root_mean_squared_error 0.142134 root_mean_squared_error 0.201008 root_mean_squared_error 0.142134 root_mean_squared_error 0 root_mean_squared_error 0.246183 root_mean_squared_error 0.142134 root_mean_squared_error 0.142134 root_mean_squared_error 0.201008 root_mean_squared_error 0.142134 root_mean_squared_error 0.201008 root_mean_squared_error 0.201008 root_mean_squared_error 0.201008 root_mean_squared_error 0.201008 root_mean_squared_error 0.201008 root_mean_squared_error 0.142134 root_mean_squared_error 0 root_mean_squared_error 0.142134 root_mean_squared_error 0.201008 root_mean_squared_error 0.142134 root_mean_squared_error 0.142134 root_mean_squared_error 0.201008 root_mean_squared_error 0.142134 root_mean_squared_error 0 root_mean_squared_error 0.142134 root_mean_squared_error 0.142134 root_mean_squared_error 0.142134 root_relative_squared_error 0.487914 root_relative_squared_error 0.47997 root_relative_squared_error 0.499145 root_relative_squared_error 0.47997 root_relative_squared_error 0.487372 root_relative_squared_error 0.497987 root_relative_squared_error 0 root_relative_squared_error 0.491758 root_relative_squared_error 0.701824 root_relative_squared_error 0 root_relative_squared_error 0.845091 root_relative_squared_error 0.47997 root_relative_squared_error 0.696238 root_relative_squared_error 0.67878 root_relative_squared_error 0.489003 root_relative_squared_error 0.488457 root_relative_squared_error 0.48955 root_relative_squared_error 0.843217 root_relative_squared_error 0.481528 root_relative_squared_error 0.48955 root_relative_squared_error 0.691554 root_relative_squared_error 0.47997 root_relative_squared_error 0.47894 root_relative_squared_error 0.487372 root_relative_squared_error 0.489003 root_relative_squared_error 0.47997 root_relative_squared_error 0.47894 root_relative_squared_error 0.700214 root_relative_squared_error 0.825138 root_relative_squared_error 0.677324 root_relative_squared_error 0.682464 root_relative_squared_error 0.478428 root_relative_squared_error 0.671589 root_relative_squared_error 0.489003 root_relative_squared_error 0.689248 root_relative_squared_error 0.829549 root_relative_squared_error 0.675876 root_relative_squared_error 0.486832 root_relative_squared_error 0.47997 root_relative_squared_error 0.82166 root_relative_squared_error 0.47997 root_relative_squared_error 0.47894 root_relative_squared_error 0.677324 root_relative_squared_error 0.487914 root_relative_squared_error 0.689248 root_relative_squared_error 0.47894 root_relative_squared_error 0.691554 root_relative_squared_error 0.47894 root_relative_squared_error 0.47997 root_relative_squared_error 0.827776 root_relative_squared_error 0.675156 root_relative_squared_error 0.677324 root_relative_squared_error 0.677324 root_relative_squared_error 0.481528 root_relative_squared_error 0.676599 root_relative_squared_error 0.478428 root_relative_squared_error 0.972587 root_relative_squared_error 0.677324 root_relative_squared_error 0.67878 root_relative_squared_error 0.675156 root_relative_squared_error 0 root_relative_squared_error 0.525534 root_relative_squared_error 0.722092 root_relative_squared_error 0.716011 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.521511 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.726531 root_relative_squared_error 0 root_relative_squared_error 0.528958 root_relative_squared_error 0.722092 root_relative_squared_error 0.509356 root_relative_squared_error 0.509356 root_relative_squared_error 0.720339 root_relative_squared_error 0.510596 root_relative_squared_error 0 root_relative_squared_error 0.882231 root_relative_squared_error 0.522842 root_relative_squared_error 0.509356 root_relative_squared_error 0.73566 root_relative_squared_error 0.521511 root_relative_squared_error 0.738467 root_relative_squared_error 0.720339 root_relative_squared_error 0.737528 root_relative_squared_error 0.720339 root_relative_squared_error 0.722092 root_relative_squared_error 0.52019 root_relative_squared_error 0 root_relative_squared_error 0.507514 root_relative_squared_error 0.737528 root_relative_squared_error 0.521511 root_relative_squared_error 0.522175 root_relative_squared_error 0.722092 root_relative_squared_error 0.521511 root_relative_squared_error 0 root_relative_squared_error 0.510596 root_relative_squared_error 0.533867 root_relative_squared_error 0.522842 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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