206142 2 Joaquin Vanschoren 4648 Supervised Classification predictive_accuracy 1182 weka.AdaBoostM1_DecisionStump(12) 2027 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 20 -W weka.classifiers.trees.DecisionStump P 100 1182 S 1 1182 I 20 1182 W weka.classifiers.trees.DecisionStump 1182 weka weka_3.7.12 1109 lymphoma_11classes https://www.openml.org/data/download/53992/lymphoma_11classes.arff -1 682166 description https://api.openml.org/data/download/682166/weka_generated_run2132725984059924237.xml -1 682169 model_readable https://api.openml.org/data/download/682169/WekaModel_weka.classifiers.meta.AdaBoostM15951725092592321577.model -1 682168 model_serialized https://api.openml.org/data/download/682168/WekaSerialized_weka.classifiers.meta.AdaBoostM13825381242996493503.model -1 682167 predictions https://api.openml.org/data/download/682167/weka_generated_predictions5276119532493925573.arff area_under_roc_curve 0.687601 [0.72262,0.679875,0.268947,0.557128,0.235904,0.785797,0.795278,0.632935,0.577458,0.67659,0.753561] average_cost 0 f_measure 0.219495 [0.281081,0.409756,0,0,0,0.355556,0,0,0.044118,0,0.137339] kappa 0.105417 kb_relative_information_score 247.713428 mean_absolute_error 0.135591 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 0.206005 [0.346667,0.327273,0,0,0,0.260465,0,0,0.065217,0,0.130081] predictive_accuracy 0.263542 prior_entropy 3.089168 recall 0.263542 [0.236364,0.547826,0,0,0,0.56,0,0,0.033333,0,0.145455] relative_absolute_error 0.874073 root_mean_prior_squared_error 0.277562 root_mean_squared_error 0.267846 root_relative_squared_error 0.964996 scimark_benchmark 942.951825 [562.4768140293269, 1007.294835592371, 466.64135976403253, 914.3495374338391, 1763.996579689319] total_cost 0 usercpu_time_millis 110 usercpu_time_millis_testing 0 usercpu_time_millis_training 110 area_under_roc_curve 0.667857 [0.625,0.642857,0.0,0.611111,0.0,0.944444,0.0,0.611111,0.388889,0.0,0.944444] area_under_roc_curve 0.679861 [0.875,0.46875,0.0,0.0,0.0,0.888889,0.888889,0.333333,0.888889,0.555556,0.555556] area_under_roc_curve 0.809524 [0.619048,0.857143,0.0,0.0,0.0,0.944444,0.888889,0.0,0.888889,0.0,0.944444] area_under_roc_curve 0.836111 [0.8125,0.8125,0.0,0.0,0.0,0.666667,0.888889,0.777778,0.888889,0.944444,0.944444] area_under_roc_curve 0.755159 [0.875,0.619048,0.0,0.0,0.0,0.888889,0.888889,0.888889,0.0,0.722222,0.555556] area_under_roc_curve 0.698413 [0.619048,0.857143,0.0,0.0,0.0,0.666667,0.0,0.0,0.666667,0.611111,0.611111] area_under_roc_curve 0.780159 [0.785714,0.75,0.0,0.0,0.0,0.666667,0.888889,0.722222,0.888889,0.0,0.777778] area_under_roc_curve 0.775992 [0.75,0.785714,0.0,0.0,0.0,0.888889,0.0,0.0,0.388889,1,0.8125] area_under_roc_curve 0.76746 [0.714286,0.714286,0.5,0.0,0.0,0.944444,0.0,0.0,0.944444,0.0,1] area_under_roc_curve 0.737103 [0.619048,0.8125,0.0,0.0,0.0,0.777778,0.777778,0.777778,0.777778,0.0,0.777778] area_under_roc_curve 0.751786 [0.6875,0.714286,0.0,0.666667,0.0,0.888889,0.0,0.666667,0.888889,0.0,0.888889] area_under_roc_curve 0.722222 [0.75,0.75,0.0,0.0,0.0,0.277778,0.888889,0.722222,0.888889,0.444444,1] area_under_roc_curve 0.730159 [0.785714,0.75,0.0,0.0,0.0,0.722222,0.944444,0.0,0.277778,0.0,0.75] area_under_roc_curve 0.648611 [0.875,0.5625,0.0,0.0,0.0,0.555556,0.888889,0.888889,0.166667,0.555556,0.555556] area_under_roc_curve 0.679563 [0.6875,0.714286,0.0,0.0,0.0,0.333333,0.0,0.666667,0.888889,0.5,0.888889] area_under_roc_curve 0.615873 [0.738095,0.5,0.0,0.0,0.0,0.944444,0.0,0.277778,0.611111,0.5,0.611111] area_under_roc_curve 0.663889 [0.833333,0.375,0.0,0.0,0.0,0.5,0.722222,0.722222,0.944444,0.0,0.5] area_under_roc_curve 0.79127 [0.75,0.785714,0.0,0.0,0.722222,0.777778,0.0,0.0,1,0.777778,0.777778] area_under_roc_curve 0.684722 [0.6875,0.6875,0.0,0.0,0.333333,0.333333,0.0,0.666667,0.888889,0.0,0.9375] area_under_roc_curve 0.718452 [0.714286,0.6875,0.0,0.0,0.0,0.888889,0.888889,0.666667,0.333333,0.0,0.888889] area_under_roc_curve 0.780159 [0.75,0.785714,0.0,0.0,0.0,0.888889,0.0,0.722222,0.888889,0.444444,1] area_under_roc_curve 0.788889 [0.75,0.75,0.0,0.0,0.0,0.777778,1,0.722222,0.611111,0.888889,0.888889] area_under_roc_curve 0.727778 [0.75,0.75,0.0,0.0,0.333333,0.666667,0.888889,0.722222,0.888889,0.0,0.777778] area_under_roc_curve 0.813492 [0.75,0.785714,0.0,0.0,0.0,0.777778,1,0.722222,0.0,0.888889,0.888889] area_under_roc_curve 0.664881 [0.8125,0.619048,0.0,0.0,0.0,0.888889,0.0,0.388889,0.611111,0.666667,0.611111] area_under_roc_curve 0.766667 [0.75,0.75,0.0,0.0,0.0,0.888889,0.888889,0.722222,0.388889,1,0.777778] area_under_roc_curve 0.772222 [0.75,0.75,0.0,0.0,0.333333,0.888889,0.888889,0.722222,0.888889,0.0,1] area_under_roc_curve 0.728571 [0.714286,0.714286,0.0,0.0,0.333333,0.888889,0.888889,0.0,0.0,0.0,0.888889] area_under_roc_curve 0.665278 [0.875,0.5625,0.0,0.0,0.277778,0.722222,0.722222,0.833333,0.0,0.5,0.722222] area_under_roc_curve 0.648611 [0.75,0.4375,0.0,0.0,0.722222,0.944444,0.944444,0.944444,0.277778,0.0,0.277778] area_under_roc_curve 0.675 [0.875,0.5625,0.0,0.0,0.0,0.666667,0.0,0.833333,0.777778,0.222222,0.6875] area_under_roc_curve 0.755556 [0.75,0.75,0.5,0.0,0.0,0.833333,0.833333,0.722222,0.833333,0.0,0.833333] area_under_roc_curve 0.688889 [0.75,0.75,0.5,0.0,0.166667,0.833333,0.833333,0.722222,0.0,0.0,0.833333] area_under_roc_curve 0.713492 [0.75,0.785714,0.0,0.0,0.0,0.833333,0.833333,0.0,0.277778,0.5,0.833333] area_under_roc_curve 0.65119 [0.642857,0.625,0.0,0.0,0.444444,0.888889,0.0,0.611111,0.5,0.0,0.888889] area_under_roc_curve 0.665278 [0.875,0.5625,0.0,0.0,0.277778,0.444444,0.777778,0.833333,0.777778,0.0,0.666667] area_under_roc_curve 0.777778 [0.875,0.875,0.0,0.0,0.277778,0.777778,0.777778,0.0,0.777778,1,0.666667] area_under_roc_curve 0.701587 [0.857143,0.5,0.5,0.0,0.0,0.722222,0.833333,0.0,0.833333,0.0,0.555556] area_under_roc_curve 0.788889 [0.75,0.75,0.0,0.0,0.0,0.777778,1,0.722222,0.611111,0.888889,0.888889] area_under_roc_curve 0.681944 [0.75,0.4375,0.0,0.722222,0.388889,0.722222,0.0,0.722222,0.0,0.944444,0.944444] area_under_roc_curve 0.747222 [0.8125,0.8125,0.0,0.0,0.0,0.944444,0.888889,0.888889,0.222222,0.666667,0.611111] area_under_roc_curve 0.733333 [0.75,0.75,0.0,0.0,0.277778,0.833333,0.833333,0.722222,0.833333,0.0,0.833333] area_under_roc_curve 0.659722 [0.4375,0.75,0.0,0.722222,0.0,0.833333,0.833333,0.722222,0.277778,0.0,0.833333] area_under_roc_curve 0.743254 [0.875,0.690476,0.0,0.722222,0.0,0.722222,0.722222,0.0,0.722222,0.0,0.722222] area_under_roc_curve 0.640675 [0.714286,0.6875,0.0,0.0,0.111111,0.888889,0.0,0.666667,0.333333,0.0,0.888889] area_under_roc_curve 0.772222 [0.75,0.75,0.0,0.0,0.333333,0.888889,0.888889,0.722222,0.888889,0.0,1] area_under_roc_curve 0.515575 [0.59375,0.285714,0.0,0.0,0.0,0.777778,0.277778,0.0,0.833333,0.222222,1] area_under_roc_curve 0.719444 [0.8125,0.8125,0.0,0.833333,0.0,0.722222,0.833333,0.277778,0.722222,0.0,0.555556] area_under_roc_curve 0.7 [0.75,0.75,0.0,0.0,0.0,0.944444,0.944444,0.388889,0.277778,0.722222,0.722222] area_under_roc_curve 0.758333 [0.8125,0.8125,0.0,0.833333,0.0,1,0.0,0.833333,0.222222,0.722222,0.722222] area_under_roc_curve 0.7375 [0.5625,0.875,0.5,0.0,0.0,0.777778,0.777778,0.0,0.777778,1,0.666667] area_under_roc_curve 0.569444 [0.5625,0.5625,0.0,0.0,0.277778,0.722222,0.722222,0.833333,0.166667,0.0,0.722222] area_under_roc_curve 0.729167 [0.8125,0.5,0.0,0.777778,0.0,0.777778,0.777778,0.777778,0.777778,0.0,0.777778] area_under_roc_curve 0.741667 [0.75,0.75,0.0,0.722222,0.0,0.277778,0.833333,0.0,0.833333,0.0,0.875] area_under_roc_curve 0.408333 [0.25,0.375,0.5,0.0,0.0,0.277778,0.777778,0.222222,0.833333,0.0,0.222222] area_under_roc_curve 0.777778 [0.75,0.75,0.5,0.0,0.0,0.722222,0.944444,0.722222,0.944444,0.0,0.944444] area_under_roc_curve 0.681548 [0.8125,0.619048,0.5,0.0,0.0,0.666667,0.0,0.0,0.888889,0.333333,0.944444] area_under_roc_curve 0.684722 [0.625,0.9375,0.0,0.722222,0.0,0.611111,0.722222,0.722222,0.333333,0.0,0.611111] area_under_roc_curve 0.747222 [0.8125,0.8125,0.0,0.0,0.0,0.944444,0.888889,0.888889,0.222222,0.611111,0.666667] area_under_roc_curve 0.722222 [0.75,0.75,0.5,0.0,0.0,0.833333,0.0,0.722222,0.833333,0.5,0.833333] area_under_roc_curve 0.766865 [0.666667,0.857143,0.0,0.0,0.0,1,0.8125,0.0,0.6875,0.0,0.6875] area_under_roc_curve 0.753968 [0.666667,0.857143,0.0,0.0,0.0,0.75,0.0,0.0,0.75,0.0,0.785714] area_under_roc_curve 0.731151 [0.785714,0.785714,0.0,0.0,0.0,0.875,0.0,0.4375,0.625,0.75,0.75] area_under_roc_curve 0.696429 [0.785714,0.785714,0.5,0.0,0.1875,0.8125,0.0,0.0,0.8125,0.0,0.8125] area_under_roc_curve 0.806548 [0.607143,0.928571,0.0,0.0,0.0,0.5625,0.8125,0.0,0.8125,0.0,1] area_under_roc_curve 0.719246 [0.928571,0.464286,0.0,0.0,0.0,0.9375,0.8125,0.8125,0.5625,0.0,0.5625] area_under_roc_curve 0.613757 [0.928571,0.555556,0.0,0.0,0.0,0.5625,0.0,0.0,0.375,0.25,0.8125] area_under_roc_curve 0.675595 [0.857143,0.464286,0.0,0.0,0.0,0.9375,0.875,0.875,0.1875,0.0,0.5625] area_under_roc_curve 0.720238 [0.714286,0.714286,0.0,0.0,0.0,0.875,0.875,0.6875,0.3125,0.0,0.875] area_under_roc_curve 0.683532 [0.607143,0.928571,0.0,0.0,0.0,0.9375,0.0,0.0,0.5625,0.4375,0.571429] area_under_roc_curve 0.55754 [0.416667,0.321429,0.0,0.0,0.0,0.8125,0.8125,0.0,0.8125,0.0,0.6875] area_under_roc_curve 0.722222 [0.666667,0.666667,0.0,0.625,0.0,0.9375,0.0,0.0,0.0,0.0,0.9375] area_under_roc_curve 0.764881 [0.607143,0.928571,0.0,0.0,0.0,0.9375,0.0,0.8125,0.9375,0.5625,0.5625] area_under_roc_curve 0.646825 [0.642857,0.642857,0.0,0.0,0.375,0.9375,0.0,0.625,0.375,0.0,0.9375] area_under_roc_curve 0.761905 [0.714286,0.714286,0.0,0.6875,0.0,0.9375,0.9375,0.0,0.4375,0.0,1] area_under_roc_curve 0.720238 [0.714286,0.714286,0.0,0.6875,0.0,0.875,0.875,0.0,0.3125,0.0,0.875] area_under_roc_curve 0.77381 [0.714286,0.714286,0.0,0.6875,0.0,0.875,0.0,0.6875,0.0,0.0,0.928571] area_under_roc_curve 0.779762 [0.785714,0.785714,0.0,0.0,0.0,0.625,0.875,0.75,0.875,0.0,0.75] area_under_roc_curve 0.723214 [0.928571,0.607143,0.0,0.6875,0.0,0.6875,0.6875,0.0,0.6875,0.0,0.6875] area_under_roc_curve 0.725198 [0.857143,0.666667,0.0,0.0,0.0,0.6875,0.8125,0.0,0.8125,0.0,0.5] area_under_roc_curve 0.661706 [0.785714,0.785714,0.0,0.0,0.1875,0.625,0.875,0.0,0.375,0.0,0.75] area_under_roc_curve 0.804563 [0.714286,0.75,0.0,0.6875,0.0,0.9375,0.0,0.0,0.9375,0.0,1] area_under_roc_curve 0.762897 [0.714286,0.75,0.0,0.0,0.0,0.9375,0.0,0.0,0.4375,1,0.8125] area_under_roc_curve 0.589286 [0.583333,0.464286,0.0,0.0,0.0,0.8125,0.0,0.75,0.25,0.0,0.8125] area_under_roc_curve 0.835317 [0.785714,0.785714,0.0,0.75,0.0,0.875,0.875,0.0,0.875,0.0,1] area_under_roc_curve 0.753968 [0.464286,0.833333,0.0,0.75,0.0,0.75,0.0,0.0,0.0,0.0,0.928571] area_under_roc_curve 0.64881 [0.392857,0.714286,0.0,0.6875,0.0,0.8125,0.0,0.6875,0.4375,0.0,1] area_under_roc_curve 0.72619 [0.857143,0.535714,0.0,0.0,0.0,0.6875,0.0,0.8125,0.8125,0.4375,1] area_under_roc_curve 0.695437 [0.535714,0.916667,0.0,0.8125,0.0,0.6875,0.0,0.0,0.25,0.0,0.6875] area_under_roc_curve 0.735119 [0.714286,0.75,0.0,0.0,0.0,0.75,0.9375,0.0,0.4375,0.0,0.8125] area_under_roc_curve 0.659722 [0.785714,0.464286,0.0,0.0,0.25,0.8125,0.8125,0.75,0.0,0.0,0.8125] area_under_roc_curve 0.813492 [0.785714,0.833333,0.0,0.0,0.0,0.6875,0.0,0.0,0.9375,0.9375,0.6875] area_under_roc_curve 0.664683 [0.928571,0.5,0.0,0.0,0.0,0.5625,0.0,0.0,0.9375,0.5625,0.5625] area_under_roc_curve 0.610119 [0.5,0.714286,0.0,0.0,0.0,1,0.0,0.9375,0.3125,0.0,0.3125] area_under_roc_curve 0.751984 [0.785714,0.785714,0.0,0.0,0.0,1,0.875,0.0,0.25,0.75,0.75] area_under_roc_curve 0.77877 [0.785714,0.833333,0.0,0.0,0.0,0.8125,0.0,0.0,0.8125,0.5,0.8125] area_under_roc_curve 0.678571 [0.714286,0.714286,0.0,0.0,0.0,0.875,0.875,0.875,0.3125,0.0,0.3125] area_under_roc_curve 0.748016 [0.714286,0.714286,0.0,0.0,0.0,0.9375,0.0,0.6875,0.4375,1,0.8125] area_under_roc_curve 0.645833 [0.5,0.75,0.0,0.0,0.0,0.875,0.0,0.0,0.3125,0.0,0.875] area_under_roc_curve 0.757606 [0.857143,0.638889,0.0,0.0,0.0,1,0.8125,0.0,0.6875,0.0,0.6875] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.146667 [0.4,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.116667 [0,0.333333,0,0,0,0.5,0,0,0,0,0] f_measure 0.216667 [0.5,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.230952 [0,0.571429,0,0,0,0.5,0,0,0,0,0.666667] f_measure 0.183333 [0.666667,0,0,0,0,0.5,0,0,0,0,0] f_measure 0.15 [0.5,0,0,0,0,0,0,0,0,0,0] f_measure 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.15 [0.5,0,0,0,0,0.5,0,0,0,0,0] f_measure 0.246667 [0,0.6,0,0,0,0.666667,0,0,0,0,0] f_measure 0.147619 [0,0.571429,0,0,0,0,0,0,0.333333,0,0] f_measure 0.138889 [0.444444,0,0,0,0,0.5,0,0,0,0,0] f_measure 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] f_measure 0.088889 [0.444444,0,0,0,0,0,0,0,0,0,0] f_measure 0.133333 [0,0.333333,0,0,0,0.666667,0,0,0,0,0] f_measure 0.028571 [0,0,0,0,0,0,0,0,0,0,0.285714] f_measure 0.1 [0.5,0,0,0,0,0,0,0,0,0,0] f_measure 0.088889 [0,0.444444,0,0,0,0,0,0,0,0,0] f_measure 0.138889 [0,0.444444,0,0,0,0.5,0,0,0,0,0] f_measure 0.15 [0.5,0,0,0,0,0.5,0,0,0,0,0] f_measure 0.15 [0,0.5,0,0,0,0,0,0,0,0,0.5] f_measure 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.15 [0.5,0,0,0,0,0,0,0,0,0,0.5] f_measure 0.2 [0,0.5,0,0,0,0.5,0,0,0,0,0] f_measure 0.15 [0,0.5,0,0,0,0.5,0,0,0,0,0] f_measure 0.15 [0,0.5,0,0,0,0.5,0,0,0,0,0] f_measure 0.23 [0,0.6,0,0,0,0.5,0,0,0,0,0] f_measure 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] f_measure 0.116667 [0,0.25,0,0,0,0.666667,0,0,0,0,0] f_measure 0.1 [0,0.333333,0,0,0,0,0,0,0.333333,0,0] f_measure 0.14 [0,0.5,0,0,0,0.4,0,0,0,0,0] f_measure 0.14 [0,0.5,0,0,0,0.4,0,0,0,0,0] f_measure 0.14 [0.5,0,0,0,0,0.4,0,0,0,0,0] f_measure 0.08 [0,0.4,0,0,0,0,0,0,0,0,0] f_measure 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] f_measure 0.166667 [0,0.666667,0,0,0,0.333333,0,0,0,0,0] f_measure 0.057143 [0,0.285714,0,0,0,0,0,0,0,0,0] f_measure 0.15 [0,0.5,0,0,0,0,0,0,0,0,0.5] f_measure 0.116667 [0,0.25,0,0,0,0,0,0,0,0,0.666667] f_measure 0.180952 [0,0.571429,0,0,0,0.666667,0,0,0,0,0] f_measure 0.14 [0,0.5,0,0,0,0.4,0,0,0,0,0] f_measure 0.05 [0.25,0,0,0,0,0,0,0,0,0,0] f_measure 0.161905 [0.666667,0,0,0,0,0,0,0,0,0,0.285714] f_measure 0.138889 [0,0.444444,0,0,0,0.5,0,0,0,0,0] f_measure 0.15 [0,0.5,0,0,0,0.5,0,0,0,0,0] f_measure 0.133333 [0.333333,0.222222,0,0,0,0,0,0,0,0,0] f_measure 0.114286 [0.571429,0,0,0,0,0,0,0,0,0,0] f_measure 0.233333 [0,0.5,0,0,0,0.666667,0,0,0,0,0.666667] f_measure 0.214286 [0,0.571429,0,0,0,1,0,0,0,0,0] f_measure 0.166667 [0,0.666667,0,0,0,0.333333,0,0,0,0,0] f_measure 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] f_measure 0.090476 [0,0.285714,0,0,0,0,0,0,0.333333,0,0] f_measure 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.190476 [0.666667,0.285714,0,0,0,0,0,0,0,0,0] f_measure 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.15 [0,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.108571 [0.4,0,0,0,0,0,0,0,0,0,0.285714] f_measure 0.230952 [0,0.571429,0,0,0,0.666667,0,0,0,0,0.5] f_measure 0.14 [0,0.5,0,0,0,0.4,0,0,0,0,0] f_measure 0.346032 [0.571429,0,0,0,0,1,0,0,0,0,0.4] f_measure 0.185185 [0,0.666667,0,0,0,0.333333,0,0,0,0,0] f_measure 0.18254 [0,0.571429,0,0,0,0.5,0,0,0,0,0] f_measure 0.171429 [0,0.571429,0,0,0,0.4,0,0,0,0,0] f_measure 0.222222 [0,0.8,0,0,0,0.4,0,0,0,0,0] f_measure 0.207407 [0,0.4,0,0,0,0.666667,0,0,0,0,0.4] f_measure 0.222222 [0.8,0,0,0,0,0,0,0,0,0,0.4] f_measure 0.148148 [0,0.333333,0,0,0,0.666667,0,0,0,0,0] f_measure 0.166667 [0,0.5,0,0,0,0.5,0,0,0,0,0] f_measure 0.162963 [0.4,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.095238 [0.285714,0,0,0,0,0,0,0,0,0,0] f_measure 0.274074 [0,0.6,0,0,0,0.666667,0,0,0,0,0] f_measure 0.162963 [0.4,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.17284 [0,0.444444,0,0,0,0.666667,0,0,0,0,0] f_measure 0.185185 [0,0.5,0,0,0,0.666667,0,0,0,0,0] f_measure 0.166667 [0,0.5,0,0,0,0.5,0,0,0,0,0] f_measure 0.166667 [0,0.5,0,0,0,0.5,0,0,0,0,0] f_measure 0.126984 [0,0.571429,0,0,0,0,0,0,0,0,0] f_measure 0.120635 [0,0.4,0,0,0,0,0,0,0,0,0.285714] f_measure 0.190476 [0,0.571429,0,0,0,0,0,0,0,0,0] f_measure 0.126984 [0,0.571429,0,0,0,0,0,0,0,0,0] f_measure 0.185185 [0.5,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.185185 [0.5,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.107937 [0,0.285714,0,0,0,0.4,0,0,0,0,0] f_measure 0.18254 [0,0.571429,0,0,0,0.5,0,0,0,0,0] f_measure 0.063492 [0.285714,0,0,0,0,0,0,0,0,0,0] f_measure 0.185185 [0,0.5,0,0,0,0.666667,0,0,0,0,0] f_measure 0.118519 [0,0.333333,0,0,0,0.4,0,0,0,0,0] f_measure 0.074074 [0.333333,0,0,0,0,0,0,0,0,0,0] f_measure 0.111111 [0.5,0,0,0,0,0,0,0,0,0,0] f_measure 0.063492 [0,0.285714,0,0,0,0,0,0,0,0,0] f_measure 0.126984 [0.571429,0,0,0,0,0,0,0,0,0,0] f_measure 0.111111 [0,0.333333,0,0,0,0,0,0,0,0,0] f_measure 0.222222 [0,0.5,0,0,0,1,0,0,0,0,0] f_measure 0.293651 [0,0.571429,0,0,0,1,0,0,0,0,0.5] f_measure 0.171429 [0.571429,0,0,0,0,0.4,0,0,0,0,0] f_measure 0.111111 [0,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.185185 [0,0.5,0,0,0,0.666667,0,0,0,0,0] f_measure 0.277778 [0,0.666667,0,0,0,0.5,0,0,0,0,0] f_measure 0.303704 [0.666667,0,0,0,0,1,0,0,0,0,0.4] kappa 0.146341 kappa 0.069767 kappa 0.125 kappa 0.294118 kappa 0.186047 kappa 0 kappa 0.047619 kappa 0.156627 kappa 0.220779 kappa 0.176471 kappa 0.156627 kappa 0.047619 kappa 0.02439 kappa -0.046512 kappa 0.036145 kappa 0.111111 kappa -0.022727 kappa 0.08046 kappa 0.036145 kappa 0.156627 kappa 0.166667 kappa 0.166667 kappa 0.047619 kappa 0.166667 kappa 0.146341 kappa 0.166667 kappa 0.176471 kappa 0.210526 kappa 0.021739 kappa 0.047619 kappa 0.069767 kappa 0.166667 kappa 0.166667 kappa 0.166667 kappa 0.02439 kappa -0.046512 kappa 0.186047 kappa -0.058824 kappa 0.166667 kappa 0.069767 kappa 0.176471 kappa 0.166667 kappa -0.071429 kappa 0.186047 kappa 0.156627 kappa 0.176471 kappa -0.081081 kappa 0.058824 kappa 0.285714 kappa 0.213483 kappa 0.186047 kappa -0.046512 kappa 0.058824 kappa 0.047619 kappa 0.135802 kappa 0.069767 kappa 0 kappa 0.08046 kappa 0.294118 kappa 0.166667 kappa 0.296875 kappa 0.205882 kappa 0.19403 kappa 0.19403 kappa 0.239437 kappa 0.217391 kappa 0.217391 kappa 0.073529 kappa 0.181818 kappa 0.136986 kappa -0.2 kappa 0.224138 kappa 0.136986 kappa 0.169231 kappa 0.19403 kappa 0.181818 kappa 0.181818 kappa 0.059701 kappa 0.086957 kappa 0.015625 kappa 0.059701 kappa 0.19403 kappa 0.181818 kappa 0.059701 kappa 0.205882 kappa -0.028571 kappa 0.19403 kappa 0.073529 kappa -0.058824 kappa 0.045455 kappa -0.014085 kappa 0.059701 kappa -0.028571 kappa 0.205882 kappa 0.328358 kappa 0.19403 kappa 0.045455 kappa 0.181818 kappa 0.25 kappa 0.338235 kb_relative_information_score 2.309491 kb_relative_information_score 2.620356 kb_relative_information_score 3.116439 kb_relative_information_score 3.989949 kb_relative_information_score 3.11657 kb_relative_information_score 1.861177 kb_relative_information_score 2.74127 kb_relative_information_score 3.008017 kb_relative_information_score 2.85953 kb_relative_information_score 2.78201 kb_relative_information_score 2.652818 kb_relative_information_score 2.595994 kb_relative_information_score 2.189611 kb_relative_information_score 2.139576 kb_relative_information_score 2.116439 kb_relative_information_score 1.993348 kb_relative_information_score 1.820266 kb_relative_information_score 2.316125 kb_relative_information_score 2.10425 kb_relative_information_score 2.789868 kb_relative_information_score 2.806829 kb_relative_information_score 3.555332 kb_relative_information_score 2.528129 kb_relative_information_score 3.78911 kb_relative_information_score 2.295656 kb_relative_information_score 3.318466 kb_relative_information_score 3.113192 kb_relative_information_score 2.830146 kb_relative_information_score 2.106339 kb_relative_information_score 2.297168 kb_relative_information_score 2.28152 kb_relative_information_score 2.964186 kb_relative_information_score 2.595595 kb_relative_information_score 2.59425 kb_relative_information_score 1.93596 kb_relative_information_score 2.213547 kb_relative_information_score 3.568851 kb_relative_information_score 2.471194 kb_relative_information_score 3.555332 kb_relative_information_score 2.803361 kb_relative_information_score 3.026739 kb_relative_information_score 2.959717 kb_relative_information_score 2.079685 kb_relative_information_score 2.412436 kb_relative_information_score 2.27302 kb_relative_information_score 3.113192 kb_relative_information_score 1.535118 kb_relative_information_score 2.335242 kb_relative_information_score 2.843546 kb_relative_information_score 2.775413 kb_relative_information_score 3.1947 kb_relative_information_score 1.698097 kb_relative_information_score 2.496907 kb_relative_information_score 2.495845 kb_relative_information_score 1.054222 kb_relative_information_score 2.848808 kb_relative_information_score 2.249181 kb_relative_information_score 2.512887 kb_relative_information_score 3.246618 kb_relative_information_score 2.419953 kb_relative_information_score 2.778683 kb_relative_information_score 2.307225 kb_relative_information_score 2.380814 kb_relative_information_score 2.213583 kb_relative_information_score 2.87719 kb_relative_information_score 2.801063 kb_relative_information_score 1.661108 kb_relative_information_score 2.527483 kb_relative_information_score 2.535233 kb_relative_information_score 2.237365 kb_relative_information_score 1.371586 kb_relative_information_score 2.300576 kb_relative_information_score 2.471636 kb_relative_information_score 2.028843 kb_relative_information_score 2.542654 kb_relative_information_score 2.351165 kb_relative_information_score 2.22166 kb_relative_information_score 2.496931 kb_relative_information_score 2.06374 kb_relative_information_score 2.497719 kb_relative_information_score 1.947838 kb_relative_information_score 2.609859 kb_relative_information_score 2.806065 kb_relative_information_score 1.472651 kb_relative_information_score 2.906649 kb_relative_information_score 2.019368 kb_relative_information_score 1.883202 kb_relative_information_score 2.287806 kb_relative_information_score 1.438759 kb_relative_information_score 2.168077 kb_relative_information_score 2.066314 kb_relative_information_score 2.892484 kb_relative_information_score 1.397287 kb_relative_information_score 2.108612 kb_relative_information_score 2.696043 kb_relative_information_score 2.410703 kb_relative_information_score 2.153491 kb_relative_information_score 2.779648 kb_relative_information_score 1.910635 kb_relative_information_score 2.77309 mean_absolute_error 0.133791 mean_absolute_error 0.137916 mean_absolute_error 0.126381 mean_absolute_error 0.127097 mean_absolute_error 0.13054 mean_absolute_error 0.13441 mean_absolute_error 0.131993 mean_absolute_error 0.12972 mean_absolute_error 0.125208 mean_absolute_error 0.134737 mean_absolute_error 0.131441 mean_absolute_error 0.137882 mean_absolute_error 0.131602 mean_absolute_error 0.144769 mean_absolute_error 0.137105 mean_absolute_error 0.141742 mean_absolute_error 0.150894 mean_absolute_error 0.129798 mean_absolute_error 0.14049 mean_absolute_error 0.131441 mean_absolute_error 0.129895 mean_absolute_error 0.129271 mean_absolute_error 0.137937 mean_absolute_error 0.123676 mean_absolute_error 0.135158 mean_absolute_error 0.133567 mean_absolute_error 0.132692 mean_absolute_error 0.12752 mean_absolute_error 0.146424 mean_absolute_error 0.143147 mean_absolute_error 0.142068 mean_absolute_error 0.134671 mean_absolute_error 0.138308 mean_absolute_error 0.133063 mean_absolute_error 0.137104 mean_absolute_error 0.144584 mean_absolute_error 0.132239 mean_absolute_error 0.13787 mean_absolute_error 0.129271 mean_absolute_error 0.140104 mean_absolute_error 0.131453 mean_absolute_error 0.134671 mean_absolute_error 0.145533 mean_absolute_error 0.135994 mean_absolute_error 0.134938 mean_absolute_error 0.132692 mean_absolute_error 0.149899 mean_absolute_error 0.136541 mean_absolute_error 0.132522 mean_absolute_error 0.133606 mean_absolute_error 0.138811 mean_absolute_error 0.152783 mean_absolute_error 0.1417 mean_absolute_error 0.138193 mean_absolute_error 0.1563 mean_absolute_error 0.134275 mean_absolute_error 0.138008 mean_absolute_error 0.14138 mean_absolute_error 0.130359 mean_absolute_error 0.138308 mean_absolute_error 0.126791 mean_absolute_error 0.132867 mean_absolute_error 0.130311 mean_absolute_error 0.136017 mean_absolute_error 0.133174 mean_absolute_error 0.133109 mean_absolute_error 0.139903 mean_absolute_error 0.136287 mean_absolute_error 0.133256 mean_absolute_error 0.135329 mean_absolute_error 0.150072 mean_absolute_error 0.125349 mean_absolute_error 0.134894 mean_absolute_error 0.136837 mean_absolute_error 0.132241 mean_absolute_error 0.13481 mean_absolute_error 0.134421 mean_absolute_error 0.133699 mean_absolute_error 0.140452 mean_absolute_error 0.132395 mean_absolute_error 0.138728 mean_absolute_error 0.126025 mean_absolute_error 0.127414 mean_absolute_error 0.146176 mean_absolute_error 0.129396 mean_absolute_error 0.134823 mean_absolute_error 0.141487 mean_absolute_error 0.138631 mean_absolute_error 0.139131 mean_absolute_error 0.131436 mean_absolute_error 0.142893 mean_absolute_error 0.126813 mean_absolute_error 0.143863 mean_absolute_error 0.13458 mean_absolute_error 0.128594 mean_absolute_error 0.129156 mean_absolute_error 0.136156 mean_absolute_error 0.132464 mean_absolute_error 0.132439 mean_absolute_error 0.126791 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 0.1 [0.25,0,0,0,0,0.5,0,0,0,0,0] precision 0.083333 [0,0.25,0,0,0,0.333333,0,0,0,0,0] precision 0.17 [0.4,0,0,0,0,0.5,0,0,0,0,0] precision 0.163333 [0,0.4,0,0,0,0.333333,0,0,0,0,0.5] precision 0.133333 [0.5,0,0,0,0,0.333333,0,0,0,0,0] precision 0.12 [0.4,0,0,0,0,0,0,0,0,0,0] precision 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] precision 0.1 [0.333333,0,0,0,0,0.333333,0,0,0,0,0] precision 0.178571 [0,0.428571,0,0,0,0.5,0,0,0,0,0] precision 0.1 [0,0.4,0,0,0,0,0,0,0.2,0,0] precision 0.090476 [0.285714,0,0,0,0,0.333333,0,0,0,0,0] precision 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] precision 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] precision 0.05 [0,0.25,0,0,0,0,0,0,0,0,0] precision 0.057143 [0.285714,0,0,0,0,0,0,0,0,0,0] precision 0.1 [0,0.25,0,0,0,0.5,0,0,0,0,0] precision 0.016667 [0,0,0,0,0,0,0,0,0,0,0.166667] precision 0.066667 [0.333333,0,0,0,0,0,0,0,0,0,0] precision 0.057143 [0,0.285714,0,0,0,0,0,0,0,0,0] precision 0.090476 [0,0.285714,0,0,0,0.333333,0,0,0,0,0] precision 0.1 [0.333333,0,0,0,0,0.333333,0,0,0,0,0] precision 0.1 [0,0.333333,0,0,0,0,0,0,0,0,0.333333] precision 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] precision 0.1 [0.333333,0,0,0,0,0,0,0,0,0,0.333333] precision 0.153333 [0,0.4,0,0,0,0.333333,0,0,0,0,0] precision 0.1 [0,0.333333,0,0,0,0.333333,0,0,0,0,0] precision 0.1 [0,0.333333,0,0,0,0.333333,0,0,0,0,0] precision 0.161905 [0,0.428571,0,0,0,0.333333,0,0,0,0,0] precision 0.05 [0,0.25,0,0,0,0,0,0,0,0,0] precision 0.083333 [0,0.166667,0,0,0,0.5,0,0,0,0,0] precision 0.07 [0,0.25,0,0,0,0,0,0,0.2,0,0] precision 0.091667 [0,0.333333,0,0,0,0.25,0,0,0,0,0] precision 0.091667 [0,0.333333,0,0,0,0.25,0,0,0,0,0] precision 0.091667 [0.333333,0,0,0,0,0.25,0,0,0,0,0] precision 0.05 [0,0.25,0,0,0,0,0,0,0,0,0] precision 0.05 [0,0.25,0,0,0,0,0,0,0,0,0] precision 0.12 [0,0.5,0,0,0,0.2,0,0,0,0,0] precision 0.04 [0,0.2,0,0,0,0,0,0,0,0,0] precision 0.1 [0,0.333333,0,0,0,0,0,0,0,0,0.333333] precision 0.083333 [0,0.166667,0,0,0,0,0,0,0,0,0.5] precision 0.13 [0,0.4,0,0,0,0.5,0,0,0,0,0] precision 0.091667 [0,0.333333,0,0,0,0.25,0,0,0,0,0] precision 0.033333 [0.166667,0,0,0,0,0,0,0,0,0,0] precision 0.116667 [0.5,0,0,0,0,0,0,0,0,0,0.166667] precision 0.090476 [0,0.285714,0,0,0,0.333333,0,0,0,0,0] precision 0.1 [0,0.333333,0,0,0,0.333333,0,0,0,0,0] precision 0.1 [0.25,0.166667,0,0,0,0,0,0,0,0,0] precision 0.08 [0.4,0,0,0,0,0,0,0,0,0,0] precision 0.166667 [0,0.333333,0,0,0,0.5,0,0,0,0,0.5] precision 0.18 [0,0.4,0,0,0,1,0,0,0,0,0] precision 0.12 [0,0.5,0,0,0,0.2,0,0,0,0,0] precision 0.05 [0,0.25,0,0,0,0,0,0,0,0,0] precision 0.06 [0,0.2,0,0,0,0,0,0,0.2,0,0] precision 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] precision 0.14 [0.5,0.2,0,0,0,0,0,0,0,0,0] precision 0.066667 [0,0.333333,0,0,0,0,0,0,0,0,0] precision 0.12 [0,0.4,0,0,0,0,0,0,0,0,0] precision 0.083333 [0.333333,0,0,0,0,0,0,0,0,0,0.166667] precision 0.163333 [0,0.4,0,0,0,0.5,0,0,0,0,0.333333] precision 0.091667 [0,0.333333,0,0,0,0.25,0,0,0,0,0] precision 0.305556 [0.5,0,0,0,0,1,0,0,0,0,0.25] precision 0.133333 [0,0.5,0,0,0,0.2,0,0,0,0,0] precision 0.125926 [0,0.4,0,0,0,0.333333,0,0,0,0,0] precision 0.116667 [0,0.4,0,0,0,0.25,0,0,0,0,0] precision 0.175926 [0,0.666667,0,0,0,0.25,0,0,0,0,0] precision 0.157407 [0,0.333333,0,0,0,0.5,0,0,0,0,0.25] precision 0.175926 [0.666667,0,0,0,0,0,0,0,0,0,0.25] precision 0.111111 [0,0.25,0,0,0,0.5,0,0,0,0,0] precision 0.111111 [0,0.333333,0,0,0,0.333333,0,0,0,0,0] precision 0.12963 [0.333333,0,0,0,0,0.5,0,0,0,0,0] precision 0.083333 [0.25,0,0,0,0,0,0,0,0,0,0] precision 0.198413 [0,0.428571,0,0,0,0.5,0,0,0,0,0] precision 0.12963 [0.333333,0,0,0,0,0.5,0,0,0,0,0] precision 0.119048 [0,0.285714,0,0,0,0.5,0,0,0,0,0] precision 0.12963 [0,0.333333,0,0,0,0.5,0,0,0,0,0] precision 0.111111 [0,0.333333,0,0,0,0.333333,0,0,0,0,0] precision 0.111111 [0,0.333333,0,0,0,0.333333,0,0,0,0,0] precision 0.088889 [0,0.4,0,0,0,0,0,0,0,0,0] precision 0.092593 [0,0.333333,0,0,0,0,0,0,0,0,0.166667] precision 0.166667 [0,0.5,0,0,0,0,0,0,0,0,0] precision 0.088889 [0,0.4,0,0,0,0,0,0,0,0,0] precision 0.12963 [0.333333,0,0,0,0,0.5,0,0,0,0,0] precision 0.12963 [0.333333,0,0,0,0,0.5,0,0,0,0,0] precision 0.072222 [0,0.2,0,0,0,0.25,0,0,0,0,0] precision 0.125926 [0,0.4,0,0,0,0.333333,0,0,0,0,0] precision 0.044444 [0.2,0,0,0,0,0,0,0,0,0,0] precision 0.12963 [0,0.333333,0,0,0,0.5,0,0,0,0,0] precision 0.083333 [0,0.25,0,0,0,0.25,0,0,0,0,0] precision 0.055556 [0.25,0,0,0,0,0,0,0,0,0,0] precision 0.074074 [0.333333,0,0,0,0,0,0,0,0,0,0] precision 0.044444 [0,0.2,0,0,0,0,0,0,0,0,0] precision 0.088889 [0.4,0,0,0,0,0,0,0,0,0,0] precision 0.111111 [0,0.333333,0,0,0,0,0,0,0,0,0] precision 0.185185 [0,0.333333,0,0,0,1,0,0,0,0,0] precision 0.237037 [0,0.4,0,0,0,1,0,0,0,0,0.333333] precision 0.116667 [0.4,0,0,0,0,0.25,0,0,0,0,0] precision 0.074074 [0,0.333333,0,0,0,0,0,0,0,0,0] precision 0.12963 [0,0.333333,0,0,0,0.5,0,0,0,0,0] precision 0.203704 [0,0.5,0,0,0,0.333333,0,0,0,0,0] precision 0.25 [0.5,0,0,0,0,1,0,0,0,0,0.25] predictive_accuracy 0.3 predictive_accuracy 0.2 predictive_accuracy 0.3 predictive_accuracy 0.4 predictive_accuracy 0.3 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.3 predictive_accuracy 0.4 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.1 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.1 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.2 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.4 predictive_accuracy 0.1 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.2 predictive_accuracy 0.1 predictive_accuracy 0.3 predictive_accuracy 0.1 predictive_accuracy 0.3 predictive_accuracy 0.2 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.1 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.4 predictive_accuracy 0.3 predictive_accuracy 0.3 predictive_accuracy 0.1 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.3 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.4 predictive_accuracy 0.3 predictive_accuracy 0.444444 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.222222 predictive_accuracy 0.333333 predictive_accuracy 0.222222 predictive_accuracy 0.111111 predictive_accuracy 0.444444 predictive_accuracy 0.222222 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.222222 predictive_accuracy 0.222222 predictive_accuracy 0.222222 predictive_accuracy 0.222222 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.222222 predictive_accuracy 0.333333 predictive_accuracy 0.111111 predictive_accuracy 0.333333 predictive_accuracy 0.222222 predictive_accuracy 0.111111 predictive_accuracy 0.222222 predictive_accuracy 0.111111 predictive_accuracy 0.222222 predictive_accuracy 0.111111 predictive_accuracy 0.333333 predictive_accuracy 0.444444 predictive_accuracy 0.333333 predictive_accuracy 0.222222 predictive_accuracy 0.333333 predictive_accuracy 0.444444 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 0.3 [1,0,0,0,0,1,0,0,0,0,0] recall 0.2 [0,0.5,0,0,0,1,0,0,0,0,0] recall 0.3 [0.666667,0,0,0,0,1,0,0,0,0,0] recall 0.4 [0,1,0,0,0,1,0,0,0,0,1] recall 0.3 [1,0,0,0,0,1,0,0,0,0,0] recall 0.2 [0.666667,0,0,0,0,0,0,0,0,0,0] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.3 [1,0,0,0,0,1,0,0,0,0,0] recall 0.4 [0,1,0,0,0,1,0,0,0,0,0] recall 0.3 [0,1,0,0,0,0,0,0,1,0,0] recall 0.3 [1,0,0,0,0,1,0,0,0,0,0] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] recall 0.2 [1,0,0,0,0,0,0,0,0,0,0] recall 0.2 [0,0.5,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0,0,0,0,0,0,0,0,0,1] recall 0.2 [1,0,0,0,0,0,0,0,0,0,0] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.3 [1,0,0,0,0,1,0,0,0,0,0] recall 0.3 [0,1,0,0,0,0,0,0,0,0,1] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.3 [1,0,0,0,0,0,0,0,0,0,1] recall 0.3 [0,0.666667,0,0,0,1,0,0,0,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.4 [0,1,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] recall 0.2 [0,0.5,0,0,0,1,0,0,0,0,0] recall 0.2 [0,0.5,0,0,0,0,0,0,1,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.3 [1,0,0,0,0,1,0,0,0,0,0] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] recall 0.3 [0,1,0,0,0,0,0,0,0,0,1] recall 0.2 [0,0.5,0,0,0,0,0,0,0,0,1] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.1 [0.5,0,0,0,0,0,0,0,0,0,0] recall 0.3 [1,0,0,0,0,0,0,0,0,0,1] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.2 [0.5,0.333333,0,0,0,0,0,0,0,0,0] recall 0.2 [1,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,1,0,0,0,1,0,0,0,0,1] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.1 [0,0.5,0,0,0,0,0,0,0,0,0] recall 0.2 [0,0.5,0,0,0,0,0,0,1,0,0] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.3 [1,0.5,0,0,0,0,0,0,0,0,0] recall 0.2 [0,1,0,0,0,0,0,0,0,0,0] recall 0.2 [0,0.666667,0,0,0,0,0,0,0,0,0] recall 0.2 [0.5,0,0,0,0,0,0,0,0,0,1] recall 0.4 [0,1,0,0,0,1,0,0,0,0,1] recall 0.3 [0,1,0,0,0,1,0,0,0,0,0] recall 0.444444 [0.666667,0,0,0,0,1,0,0,0,0,1] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,0.5,0,0,0,1,0,0,0,0,1] recall 0.333333 [1,0,0,0,0,0,0,0,0,0,1] recall 0.222222 [0,0.5,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.222222 [0.5,0,0,0,0,1,0,0,0,0,0] recall 0.111111 [0.333333,0,0,0,0,0,0,0,0,0,0] recall 0.444444 [0,1,0,0,0,1,0,0,0,0,0] recall 0.222222 [0.5,0,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.222222 [0,1,0,0,0,0,0,0,0,0,0] recall 0.222222 [0,0.5,0,0,0,0,0,0,0,0,1] recall 0.222222 [0,0.666667,0,0,0,0,0,0,0,0,0] recall 0.222222 [0,1,0,0,0,0,0,0,0,0,0] recall 0.333333 [1,0,0,0,0,1,0,0,0,0,0] recall 0.333333 [1,0,0,0,0,1,0,0,0,0,0] recall 0.222222 [0,0.5,0,0,0,1,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.111111 [0.5,0,0,0,0,0,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.222222 [0,0.5,0,0,0,1,0,0,0,0,0] recall 0.111111 [0.5,0,0,0,0,0,0,0,0,0,0] recall 0.222222 [1,0,0,0,0,0,0,0,0,0,0] recall 0.111111 [0,0.5,0,0,0,0,0,0,0,0,0] recall 0.222222 [1,0,0,0,0,0,0,0,0,0,0] recall 0.111111 [0,0.333333,0,0,0,0,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.444444 [0,1,0,0,0,1,0,0,0,0,1] recall 0.333333 [1,0,0,0,0,1,0,0,0,0,0] recall 0.222222 [0,1,0,0,0,0,0,0,0,0,0] recall 0.333333 [0,1,0,0,0,1,0,0,0,0,0] recall 0.444444 [0,1,0,0,0,1,0,0,0,0,0] recall 0.444444 [1,0,0,0,0,1,0,0,0,0,1] relative_absolute_error 0.866184 relative_absolute_error 0.878392 relative_absolute_error 0.836616 relative_absolute_error 0.80949 relative_absolute_error 0.844203 relative_absolute_error 0.88777 relative_absolute_error 0.857372 relative_absolute_error 0.846346 relative_absolute_error 0.824216 relative_absolute_error 0.875193 relative_absolute_error 0.85097 relative_absolute_error 0.878175 relative_absolute_error 0.859574 relative_absolute_error 0.92204 relative_absolute_error 0.889595 relative_absolute_error 0.918672 relative_absolute_error 0.980142 relative_absolute_error 0.838489 relative_absolute_error 0.897699 relative_absolute_error 0.853787 relative_absolute_error 0.842815 relative_absolute_error 0.823332 relative_absolute_error 0.87663 relative_absolute_error 0.799819 relative_absolute_error 0.87696 relative_absolute_error 0.850692 relative_absolute_error 0.843299 relative_absolute_error 0.837559 relative_absolute_error 0.925571 relative_absolute_error 0.909738 relative_absolute_error 0.909759 relative_absolute_error 0.854952 relative_absolute_error 0.871457 relative_absolute_error 0.863369 relative_absolute_error 0.886655 relative_absolute_error 0.918876 relative_absolute_error 0.838607 relative_absolute_error 0.890628 relative_absolute_error 0.823332 relative_absolute_error 0.881833 relative_absolute_error 0.837231 relative_absolute_error 0.855876 relative_absolute_error 0.924904 relative_absolute_error 0.880445 relative_absolute_error 0.872646 relative_absolute_error 0.843299 relative_absolute_error 0.972608 relative_absolute_error 0.867756 relative_absolute_error 0.844037 relative_absolute_error 0.847274 relative_absolute_error 0.879337 relative_absolute_error 0.97098 relative_absolute_error 0.900544 relative_absolute_error 0.883027 relative_absolute_error 0.99226 relative_absolute_error 0.852436 relative_absolute_error 0.890544 relative_absolute_error 0.898512 relative_absolute_error 0.830262 relative_absolute_error 0.876147 relative_absolute_error 0.833188 relative_absolute_error 0.878566 relative_absolute_error 0.837615 relative_absolute_error 0.866923 relative_absolute_error 0.863346 relative_absolute_error 0.857676 relative_absolute_error 0.918213 relative_absolute_error 0.878156 relative_absolute_error 0.858624 relative_absolute_error 0.875178 relative_absolute_error 0.986175 relative_absolute_error 0.834062 relative_absolute_error 0.867069 relative_absolute_error 0.877429 relative_absolute_error 0.847961 relative_absolute_error 0.864431 relative_absolute_error 0.864031 relative_absolute_error 0.861481 relative_absolute_error 0.900611 relative_absolute_error 0.871096 relative_absolute_error 0.889553 relative_absolute_error 0.825084 relative_absolute_error 0.836242 relative_absolute_error 0.960572 relative_absolute_error 0.829719 relative_absolute_error 0.884873 relative_absolute_error 0.907249 relative_absolute_error 0.891092 relative_absolute_error 0.910889 relative_absolute_error 0.86478 relative_absolute_error 0.912945 relative_absolute_error 0.832297 relative_absolute_error 0.9442 relative_absolute_error 0.88437 relative_absolute_error 0.826576 relative_absolute_error 0.847675 relative_absolute_error 0.877311 relative_absolute_error 0.851453 relative_absolute_error 0.889051 relative_absolute_error 0.834223 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 0.266555 root_mean_squared_error 0.273768 root_mean_squared_error 0.249903 root_mean_squared_error 0.250607 root_mean_squared_error 0.258948 root_mean_squared_error 0.26762 root_mean_squared_error 0.260565 root_mean_squared_error 0.255454 root_mean_squared_error 0.247551 root_mean_squared_error 0.261911 root_mean_squared_error 0.258807 root_mean_squared_error 0.27149 root_mean_squared_error 0.267115 root_mean_squared_error 0.286975 root_mean_squared_error 0.269034 root_mean_squared_error 0.278718 root_mean_squared_error 0.286469 root_mean_squared_error 0.264711 root_mean_squared_error 0.276168 root_mean_squared_error 0.258807 root_mean_squared_error 0.255951 root_mean_squared_error 0.262067 root_mean_squared_error 0.273139 root_mean_squared_error 0.249717 root_mean_squared_error 0.27258 root_mean_squared_error 0.264023 root_mean_squared_error 0.262128 root_mean_squared_error 0.249847 root_mean_squared_error 0.284148 root_mean_squared_error 0.28934 root_mean_squared_error 0.277797 root_mean_squared_error 0.263599 root_mean_squared_error 0.271483 root_mean_squared_error 0.260331 root_mean_squared_error 0.27609 root_mean_squared_error 0.282318 root_mean_squared_error 0.25806 root_mean_squared_error 0.271755 root_mean_squared_error 0.262067 root_mean_squared_error 0.280991 root_mean_squared_error 0.261513 root_mean_squared_error 0.263599 root_mean_squared_error 0.286146 root_mean_squared_error 0.263185 root_mean_squared_error 0.266235 root_mean_squared_error 0.262128 root_mean_squared_error 0.292754 root_mean_squared_error 0.272457 root_mean_squared_error 0.270025 root_mean_squared_error 0.264131 root_mean_squared_error 0.270514 root_mean_squared_error 0.294508 root_mean_squared_error 0.276301 root_mean_squared_error 0.269261 root_mean_squared_error 0.308477 root_mean_squared_error 0.268854 root_mean_squared_error 0.280743 root_mean_squared_error 0.270655 root_mean_squared_error 0.259239 root_mean_squared_error 0.271483 root_mean_squared_error 0.248436 root_mean_squared_error 0.256294 root_mean_squared_error 0.265499 root_mean_squared_error 0.265764 root_mean_squared_error 0.260318 root_mean_squared_error 0.257816 root_mean_squared_error 0.27861 root_mean_squared_error 0.269509 root_mean_squared_error 0.261945 root_mean_squared_error 0.262518 root_mean_squared_error 0.295293 root_mean_squared_error 0.246655 root_mean_squared_error 0.261819 root_mean_squared_error 0.272251 root_mean_squared_error 0.26283 root_mean_squared_error 0.265233 root_mean_squared_error 0.264245 root_mean_squared_error 0.263718 root_mean_squared_error 0.268507 root_mean_squared_error 0.258889 root_mean_squared_error 0.274102 root_mean_squared_error 0.249112 root_mean_squared_error 0.25231 root_mean_squared_error 0.284569 root_mean_squared_error 0.254298 root_mean_squared_error 0.267722 root_mean_squared_error 0.282109 root_mean_squared_error 0.271221 root_mean_squared_error 0.275008 root_mean_squared_error 0.260977 root_mean_squared_error 0.279301 root_mean_squared_error 0.253731 root_mean_squared_error 0.280459 root_mean_squared_error 0.273038 root_mean_squared_error 0.256517 root_mean_squared_error 0.251098 root_mean_squared_error 0.273624 root_mean_squared_error 0.263407 root_mean_squared_error 0.260132 root_mean_squared_error 0.248436 root_relative_squared_error 0.964518 root_relative_squared_error 0.974494 root_relative_squared_error 0.92508 root_relative_squared_error 0.892051 root_relative_squared_error 0.935953 root_relative_squared_error 0.988365 root_relative_squared_error 0.946009 root_relative_squared_error 0.931635 root_relative_squared_error 0.911085 root_relative_squared_error 0.950892 root_relative_squared_error 0.936484 root_relative_squared_error 0.966383 root_relative_squared_error 0.975263 root_relative_squared_error 1.021504 root_relative_squared_error 0.975661 root_relative_squared_error 1.009655 root_relative_squared_error 1.040054 root_relative_squared_error 0.955723 root_relative_squared_error 0.986225 root_relative_squared_error 0.939625 root_relative_squared_error 0.928215 root_relative_squared_error 0.932843 root_relative_squared_error 0.970167 root_relative_squared_error 0.902589 root_relative_squared_error 0.988521 root_relative_squared_error 0.939804 root_relative_squared_error 0.931058 root_relative_squared_error 0.917426 root_relative_squared_error 1.003903 root_relative_squared_error 1.02771 root_relative_squared_error 0.994201 root_relative_squared_error 0.935281 root_relative_squared_error 0.956119 root_relative_squared_error 0.944101 root_relative_squared_error 0.997912 root_relative_squared_error 1.00277 root_relative_squared_error 0.914649 root_relative_squared_error 0.981154 root_relative_squared_error 0.932843 root_relative_squared_error 0.988564 root_relative_squared_error 0.930871 root_relative_squared_error 0.936283 root_relative_squared_error 1.016365 root_relative_squared_error 0.952326 root_relative_squared_error 0.962292 root_relative_squared_error 0.931058 root_relative_squared_error 1.061685 root_relative_squared_error 0.967745 root_relative_squared_error 0.96117 root_relative_squared_error 0.936168 root_relative_squared_error 0.957768 root_relative_squared_error 1.046066 root_relative_squared_error 0.981398 root_relative_squared_error 0.961559 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