202079 2 Joaquin Vanschoren 4648 Supervised Classification predictive_accuracy 1105 weka.IBk(4) 2024 weka.classifiers.lazy.IBk -- -K 3 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" K 3 1105 W 0 1105 A true 1105 weka weka_3.7.12 1109 lymphoma_11classes https://www.openml.org/data/download/53992/lymphoma_11classes.arff -1 666023 description https://api.openml.org/data/download/666023/weka_generated_run4085060996973261909.xml -1 666026 model_readable https://api.openml.org/data/download/666026/WekaModel_weka.classifiers.lazy.IBk7124836006618436193.model -1 666025 model_serialized https://api.openml.org/data/download/666025/WekaSerialized_weka.classifiers.lazy.IBk6469094408353432815.model -1 666024 predictions https://api.openml.org/data/download/666024/weka_generated_predictions1334942803603103231.arff area_under_roc_curve 0.875508 [0.839352,0.869824,0.638947,0.999202,0.589362,0.808837,1,0.834583,0.969968,0.855951,0.955599] average_cost 0 f_measure 0.47959 [0.531544,0.592965,0,0,0,0.095238,1,0,0.634783,0.04878,0.71345] kappa 0.427104 kb_relative_information_score 534.5104 mean_absolute_error 0.088547 mean_prior_absolute_error 0.155126 number_of_instances 960 [220,230,10,20,20,100,60,60,90,40,110] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.626508 [0.377143,0.702381,0,0,0,1,1,0,0.521429,1,1] predictive_accuracy 0.5375 prior_entropy 3.089168 recall 0.5375 [0.9,0.513043,0,0,0,0.05,1,0,0.811111,0.025,0.554545] relative_absolute_error 0.570809 root_mean_prior_squared_error 0.277562 root_mean_squared_error 0.223785 root_relative_squared_error 0.806252 scimark_benchmark 1333.579873 [787.1121737118738, 1005.1929850806725, 544.2178393368769, 1111.2505451599056, 3220.1258241882724] total_cost 0 usercpu_time_millis 780 usercpu_time_millis_testing 780 usercpu_time_millis_training 0 area_under_roc_curve 0.857143 [0.75,0.690476,0.0,1,0.0,1,0.0,1,1,0.0,1] area_under_roc_curve 0.896528 [0.90625,0.9375,0.0,0.0,0.0,1,1,1,0.888889,0.944444,0.444444] area_under_roc_curve 0.842857 [0.761905,0.880952,0.0,0.0,0.0,0.5,1,0.0,1,0.0,1] area_under_roc_curve 0.944444 [0.8125,0.9375,0.0,0.0,0.0,1,1,1,1,0.944444,1] area_under_roc_curve 0.906548 [0.9375,0.952381,0.0,0.0,0.0,0.5,1,1,0.0,0.888889,0.944444] area_under_roc_curve 0.821429 [0.785714,0.619048,0.0,0.0,0.0,1,0.0,0.0,1,1,1] area_under_roc_curve 0.883929 [0.904762,0.8125,0.0,0.0,0.0,0.5,1,1,1,0.0,1] area_under_roc_curve 0.906746 [0.875,0.809524,0.0,0.0,0.0,1,0.0,0.0,0.944444,0.944444,1] area_under_roc_curve 0.76746 [0.714286,0.880952,0.5,0.0,0.0,1,0.0,0.0,0.944444,0.0,0.444444] area_under_roc_curve 0.947123 [0.904762,0.90625,0.0,0.0,0.0,1,1,1,0.944444,0.0,1] area_under_roc_curve 0.840873 [0.625,0.904762,0.0,1,0.0,1,0.0,0.5,0.944444,0.0,1] area_under_roc_curve 0.919444 [0.9375,0.9375,0.0,0.0,0.0,1,1,0.5,0.944444,1,1] area_under_roc_curve 0.833929 [0.738095,0.8125,0.0,0.0,0.0,1,1,0.0,1,0.0,0.75] area_under_roc_curve 0.813194 [0.9375,0.90625,0.0,0.0,0.0,0.5,1,0.5,1,0.944444,0.5] area_under_roc_curve 0.852976 [0.8125,0.857143,0.0,0.0,0.0,1,0.0,1,0.944444,0.444444,0.944444] area_under_roc_curve 0.94871 [0.928571,0.90625,0.0,0.0,0.0,1,0.0,1,1,0.888889,1] area_under_roc_curve 0.887302 [0.809524,1,0.0,0.0,0.0,0.5,1,1,0.944444,0.0,1] area_under_roc_curve 0.778373 [0.8125,0.738095,0.0,0.0,0.5,0.5,0.0,0.0,1,0.944444,1] area_under_roc_curve 0.8875 [0.8125,0.875,0.0,0.0,0.5,1,0.0,1,1,0.0,1] area_under_roc_curve 0.842659 [0.785714,0.5625,0.0,0.0,0.0,1,1,1,0.944444,0.0,1] area_under_roc_curve 0.897123 [0.90625,0.904762,0.0,0.0,0.0,1,0.0,1,0.944444,0.5,1] area_under_roc_curve 0.894444 [0.78125,0.96875,0.0,0.0,0.0,0.5,1,1,1,0.944444,1] area_under_roc_curve 0.819444 [0.75,0.875,0.0,0.0,0.5,0.5,1,1,0.944444,0.0,1] area_under_roc_curve 0.923214 [0.9375,0.952381,0.0,0.0,0.0,0.5,1,1,0.0,1,1] area_under_roc_curve 0.930357 [0.9375,0.97619,0.0,0.0,0.0,0.5,0.0,1,1,1,1] area_under_roc_curve 0.888889 [0.875,0.875,0.0,0.0,0.0,0.5,1,1,0.944444,0.944444,1] area_under_roc_curve 0.925 [0.875,1,0.0,0.0,0.5,1,1,1,1,0.0,1] area_under_roc_curve 0.814286 [0.761905,0.785714,0.0,0.0,0.5,1,1,0.0,0.0,0.0,1] area_under_roc_curve 0.7625 [0.75,0.8125,0.0,0.0,0.5,0.5,1,0.5,0.0,1,1] area_under_roc_curve 0.83125 [0.9375,0.96875,0.0,0.0,0.5,0.5,1,0.5,1,0.0,1] area_under_roc_curve 0.838194 [0.84375,0.625,0.0,0.0,0.0,1,0.0,0.5,1,0.944444,1] area_under_roc_curve 0.925694 [1,0.90625,0.5,0.0,0.0,1,1,0.944444,1,0.0,1] area_under_roc_curve 0.863194 [0.96875,0.875,0.5,0.0,0.5,1,1,0.944444,0.0,0.0,1] area_under_roc_curve 0.938889 [1,1,0.0,0.0,0.0,1,1,0.0,0.944444,0.5,0.944444] area_under_roc_curve 0.639087 [0.690476,0.4375,0.0,0.0,0.5,0.5,0.0,0.5,0.944444,0.0,1] area_under_roc_curve 0.73125 [0.75,0.65625,0.0,0.0,0.5,0.5,1,0.5,1,0.0,1] area_under_roc_curve 0.845833 [0.9375,0.875,0.0,0.0,0.5,0.5,1,0.0,1,0.888889,0.944444] area_under_roc_curve 0.89623 [0.880952,0.9375,0.5,0.0,0.0,1,1,0.0,1,0.0,0.944444] area_under_roc_curve 0.9125 [0.875,0.9375,0.0,0.0,0.0,0.5,1,1,1,1,1] area_under_roc_curve 0.88125 [0.90625,1,0.0,1,0.5,1,0.0,0.5,0.0,1,1] area_under_roc_curve 0.920833 [0.96875,0.96875,0.0,0.0,0.0,1,1,1,1,0.888889,0.444444] area_under_roc_curve 0.9125 [0.90625,0.90625,0.0,0.0,0.5,1,1,1,1,0.0,1] area_under_roc_curve 0.8625 [0.875,0.6875,0.0,1,0.0,1,1,0.5,1,0.0,1] area_under_roc_curve 0.946429 [0.875,0.904762,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.767659 [0.785714,0.9375,0.0,0.0,0.5,0.5,0.0,0.5,0.944444,0.0,1] area_under_roc_curve 0.88125 [0.96875,0.9375,0.0,0.0,0.5,1,1,1,1,0.0,0.5] area_under_roc_curve 0.898016 [0.875,0.928571,0.0,0.0,0.0,0.5,1,0.0,1,0.944444,1] area_under_roc_curve 0.90625 [0.6875,0.84375,0.0,1,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.908333 [0.9375,0.9375,0.0,0.0,0.0,0.5,1,1,0.944444,0.888889,1] area_under_roc_curve 0.919444 [0.875,0.75,0.0,1,0.0,1,0.0,1,1,0.944444,1] area_under_roc_curve 0.913194 [0.875,0.96875,0.5,0.0,0.0,1,1,0.0,0.944444,1,1] area_under_roc_curve 0.806944 [0.8125,1,0.0,0.0,0.5,0.5,1,0.5,0.944444,0.0,1] area_under_roc_curve 0.895139 [0.84375,0.6875,0.0,1,0.0,1,1,1,0.888889,0.0,1] area_under_roc_curve 0.994444 [1,1,0.0,1,0.0,1,1,0.0,0.944444,0.0,1] area_under_roc_curve 0.863889 [0.75,0.875,0.5,0.0,0.0,1,1,0.944444,0.944444,0.0,1] area_under_roc_curve 0.8125 [0.8125,1,0.5,0.0,0.0,0.5,1,0.5,1,0.0,1] area_under_roc_curve 0.798909 [0.84375,0.785714,0.5,0.0,0.0,1,0.0,0.0,1,0.944444,0.5] area_under_roc_curve 0.901389 [0.71875,0.84375,0.0,1,0.0,1,1,1,0.888889,0.0,1] area_under_roc_curve 0.906944 [0.875,0.6875,0.0,0.0,0.0,1,1,1,1,0.944444,1] area_under_roc_curve 0.863889 [0.9375,0.9375,0.5,0.0,0.0,1,0.0,0.944444,0.944444,0.5,1] area_under_roc_curve 0.944444 [1,1,0.0,0.0,0.0,0.5,1,0.0,1,0.0,1] area_under_roc_curve 0.850198 [0.666667,0.857143,0.0,0.0,0.0,1,0.0,0.0,0.9375,0.0,1] area_under_roc_curve 0.929563 [0.857143,0.857143,0.0,0.0,0.0,1,0.0,1,1,0.9375,1] area_under_roc_curve 0.809524 [0.928571,0.964286,0.5,0.0,0.5,0.5,0.0,0.0,1,0.0,1] area_under_roc_curve 0.952381 [0.857143,0.964286,0.0,0.0,0.0,1,1,0.0,1,0.0,0.964286] area_under_roc_curve 0.992063 [0.964286,1,0.0,0.0,0.0,1,1,1,1,0.0,1] area_under_roc_curve 0.895172 [0.892857,0.944444,0.0,0.0,0.0,1,0.0,0.0,0.9375,0.5,1] area_under_roc_curve 0.912698 [0.928571,0.928571,0.0,0.0,0.0,0.5,1,1,1,0.0,1] area_under_roc_curve 0.904762 [0.857143,0.964286,0.0,0.0,0.0,1,1,0.5,1,0.0,1] area_under_roc_curve 0.938492 [0.857143,0.928571,0.0,0.0,0.0,1,0.0,0.0,1,0.875,1] area_under_roc_curve 0.896164 [0.944444,0.928571,0.0,0.0,0.0,0.5,1,0.0,0.9375,0.0,0.9375] area_under_roc_curve 1 [1,1,0.0,1,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.889881 [0.821429,0.964286,0.0,0.0,0.0,1,0.0,0.5,1,0.9375,1] area_under_roc_curve 0.771825 [0.75,0.535714,0.0,0.0,0.5,1,0.0,1,0.875,0.0,1] area_under_roc_curve 0.984127 [1,0.928571,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.953373 [0.892857,0.928571,0.0,1,0.0,1,1,0.0,0.9375,0.0,1] area_under_roc_curve 0.857143 [0.75,0.857143,0.0,1,0.0,1,0.0,1,0.0,0.0,0.75] area_under_roc_curve 0.833333 [0.821429,0.928571,0.0,0.0,0.0,0.5,1,0.5,1,0.0,1] area_under_roc_curve 0.81746 [0.75,0.678571,0.0,1,0.0,0.5,1,0.0,1,0.0,1] area_under_roc_curve 0.78836 [0.714286,0.722222,0.0,0.0,0.0,1,1,0.0,1,0.0,0.5] area_under_roc_curve 0.866071 [0.928571,1,0.0,0.0,0.5,0.5,1,0.0,0.9375,0.0,1] area_under_roc_curve 0.690476 [0.357143,0.666667,0.0,1,0.0,0.5,0.0,0.0,1,0.0,1] area_under_roc_curve 0.895172 [0.892857,0.944444,0.0,0.0,0.0,0.5,0.0,0.0,1,0.9375,1] area_under_roc_curve 0.879299 [0.777778,0.821429,0.0,0.0,0.0,1,0.0,1,0.9375,0.0,1] area_under_roc_curve 0.880952 [0.785714,0.678571,0.0,1,0.0,1,1,0.0,1,0.0,1] area_under_roc_curve 0.883598 [0.642857,0.888889,0.0,1,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.849206 [0.714286,0.857143,0.0,1,0.0,1,0.0,0.5,1,0.0,1] area_under_roc_curve 0.77877 [0.785714,1,0.0,0.0,0.0,0.5,0.0,0.5,0.9375,0.5,1] area_under_roc_curve 0.973545 [0.964286,0.944444,0.0,1,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.910053 [0.928571,0.944444,0.0,0.0,0.0,0.5,1,0.0,1,0.0,1] area_under_roc_curve 0.873016 [0.928571,1,0.0,0.0,0.5,0.5,1,1,0.0,0.0,1] area_under_roc_curve 0.758598 [0.642857,0.722222,0.0,0.0,0.0,0.5,0.0,0.0,0.9375,1,0.9375] area_under_roc_curve 0.819114 [0.821429,0.972222,0.0,0.0,0.0,0.5,0.0,0.0,0.9375,0.4375,0.9375] area_under_roc_curve 0.845238 [0.75,0.928571,0.0,0.0,0.0,1,0.0,0.5,1,0.0,1] area_under_roc_curve 0.920635 [0.785714,0.857143,0.0,0.0,0.0,1,1,0.0,1,1,1] area_under_roc_curve 0.942791 [0.857143,0.944444,0.0,0.0,0.0,1,0.0,0.0,1,1,0.9375] area_under_roc_curve 0.928571 [0.964286,0.964286,0.0,0.0,0.0,1,1,0.5,1,0.0,1] area_under_roc_curve 0.985119 [0.964286,1,0.0,0.0,0.0,1,0.0,1,1,0.9375,1] area_under_roc_curve 0.87037 [0.833333,0.777778,0.0,0.0,0.0,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.825397 [0.714286,0.833333,0.0,0.0,0.0,0.5,1,0.0,1,0.0,1] 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 0.438095 [0.333333,0.571429,0,0,0,0,0,0,1,0,1] f_measure 0.322222 [0.444444,0.666667,0,0,0,0,1,0,0,0,0] f_measure 0.671429 [0.571429,0.666667,0,0,0,0,1,0,1,0,1] f_measure 0.5 [0.5,0.666667,0,0,0,0,1,0,0.666667,0,1] f_measure 0.454286 [0.571429,0.8,0,0,0,0,1,0,0,0,0] f_measure 0.363636 [0.545455,0,0,0,0,0,0,0,1,0,1] f_measure 0.5 [0.666667,0.5,0,0,0,0,1,0,0,0,1] f_measure 0.554286 [0.571429,0.8,0,0,0,0,0,0,0.666667,0,0.666667] f_measure 0.32 [0.4,0.666667,0,0,0,0,0,0,0,0,0] f_measure 0.5 [0.666667,0.666667,0,0,0,0,1,0,0.666667,0,0] f_measure 0.305556 [0.444444,0.5,0,0,0,0,0,0,0.666667,0,0] f_measure 0.433333 [0.5,0.666667,0,0,0,0,1,0,0,0,1] f_measure 0.466667 [0.444444,0,0,0,0,0,1,0,1,0,0.666667] f_measure 0.422222 [0.444444,0.666667,0,0,0,0,1,0,1,0,0] f_measure 0.284286 [0.571429,0.4,0,0,0,0,0,0,0.5,0,0] f_measure 0.625 [0.75,0.666667,0,0,0,1,0,0,0.666667,0,1] f_measure 0.404762 [0.571429,0.666667,0,0,0,0,1,0,0,0,0] f_measure 0.400952 [0.571429,0.4,0,0,0,0,0,0,0.666667,0,1] f_measure 0.533333 [0.5,0.666667,0,0,0,0,0,0,1,0,1] f_measure 0.338095 [0.571429,0.333333,0,0,0,0,1,0,0,0,0] f_measure 0.416667 [0.5,0.5,0,0,0,0,0,0,0.666667,0,1] f_measure 0.526667 [0.333333,0.8,0,0,0,0,1,0,1,0,1] f_measure 0.422222 [0.444444,0.666667,0,0,0,0,1,0,0,0,1] f_measure 0.45 [0.5,0.5,0,0,0,0,1,0,0,0,1] f_measure 0.54 [0.5,0.8,0,0,0,0,0,0,1,0,1] f_measure 0.288889 [0.444444,0,0,0,0,0,1,0,0,0,1] f_measure 0.614286 [0.571429,1,0,0,0,0,1,0,1,0,1] f_measure 0.363636 [0.545455,0,0,0,0,0,1,0,0,0,1] f_measure 0.314286 [0.571429,0.5,0,0,0,0,1,0,0,0,0] f_measure 0.593333 [0.666667,0.8,0,0,0,0,1,0,1,0,1] f_measure 0.388889 [0.444444,0,0,0,0,0,0,0,1,0,1] f_measure 0.4 [0.5,0.5,0,0,0,0,1,0,1,0,0] f_measure 0.366667 [0.666667,0.666667,0,0,0,0,1,0,0,0,0] f_measure 0.6 [0.666667,1,0,0,0,0,1,0,0.666667,0,0] f_measure 0.25 [0.5,0,0,0,0,0,0,0,0,0,1] f_measure 0.4 [0.5,0.666667,0,0,0,0,1,0,0.666667,0,0] f_measure 0.383333 [0.666667,0.5,0,0,0,0,1,0,0.5,0,0] f_measure 0.538095 [0.571429,0.5,0,0,0,1,1,0,0.666667,0,0] f_measure 0.5 [0.666667,0.5,0,0,0,0,1,0,0.666667,0,1] f_measure 0.388889 [0.444444,1,0,0,0,0,0,0,0,0,1] f_measure 0.46 [0.666667,0.8,0,0,0,0,1,0,0.666667,0,0] f_measure 0.4 [0.5,0.666667,0,0,0,0,1,0,0.666667,0,0] f_measure 0.514286 [0.571429,0.5,0,0,0,0,1,0,1,0,1] f_measure 0.5 [0.666667,0.666667,0,0,0,0,1,0,0.666667,0,0] f_measure 0.451667 [0.75,0.8,0,0,0,0,0,0,0.666667,0,0] f_measure 0.466667 [0.666667,0.666667,0,0,0,0,1,0,1,0,0] f_measure 0.366667 [0.5,0,0,0,0,0,1,0,0.666667,0,1] f_measure 0.457143 [0.285714,0.5,0,0,0,0,1,0,1,0,1] f_measure 0.4 [0.5,0.666667,0,0,0,0,1,0,0.666667,0,0] f_measure 0.255556 [0.444444,0,0,0,0,0,0,0,0.666667,0,1] f_measure 0.514286 [0.571429,0.666667,0,0,0,0,1,0,0.666667,1,0] f_measure 0.46 [0.666667,0.8,0,0,0,0,1,0,0.666667,0,0] f_measure 0.4 [0.5,0.5,0,0,0,0,1,0,0,0,1] f_measure 0.388889 [0.444444,0,0,0,0,0,1,0,0,0,1] f_measure 0.32381 [0.285714,0.5,0,0,0,0,1,0,0.666667,0,0] f_measure 0.614286 [0.571429,1,0,0,0,0,1,0,1,0,1] f_measure 0.33 [0.4,0.5,0,0,0,0,0,0,1,0,0] f_measure 0.25 [0.25,0.5,0,0,0,0,1,0,0,0,0] f_measure 0.514286 [0.571429,0.666667,0,0,0,0,1,0,0.666667,0,1] f_measure 0.4 [0.5,0.666667,0,0,0,0,0,0,0.666667,0,1] f_measure 0.555556 [0.666667,0,0,0,0,0,1,0,1,0,1] f_measure 0.518519 [0.333333,0,0,0,0,1,0,0,0.666667,0,1] f_measure 0.2 [0.4,0,0,0,0,0,0,0,1,0,0] f_measure 0.548148 [0.666667,0.8,0,0,0,0,0,0,1,0,1] f_measure 0.62963 [0.666667,0.666667,0,0,0,0,1,0,0.666667,0,0.666667] f_measure 0.571429 [0.571429,1,0,0,0,0,1,0,0,0,1] f_measure 0.478836 [0.571429,0.5,0,0,0,0,0,0,0.666667,0,1] f_measure 0.460317 [0.571429,0.666667,0,0,0,0,1,0,0.666667,0,0] f_measure 0.481481 [0.5,0.666667,0,0,0,0,1,0,0,0,1] f_measure 0.592593 [0.666667,0.666667,0,0,0,0,0,0,0.666667,0,1] f_measure 0.481481 [0.666667,0.666667,0,0,0,0,1,0,0,0,0] f_measure 0.292929 [0.545455,0,0,0,0,0,0,0,0,0,1] f_measure 0.460317 [0.571429,0.666667,0,0,0,0,0,0,0.666667,0,1] f_measure 0.088889 [0.4,0,0,0,0,0,0,0,0,0,0] f_measure 0.688889 [0.8,0.8,0,0,0,0,1,0,1,0,1] f_measure 0.296296 [0.5,0,0,0,0,0,1,0,0.666667,0,0] f_measure 0.174603 [0.285714,0.5,0,0,0,0,0,0,0,0,0] f_measure 0.460317 [0.571429,0.666667,0,0,0,0,1,0,0.666667,0,0] f_measure 0.37037 [0.333333,0.5,0,0,0,0,1,0,0.666667,0,0] f_measure 0.5 [0.5,0.5,0,0,0,0,1,0,1,0,0] f_measure 0.437037 [0.666667,0.8,0,0,0,0,1,0,0,0,0] f_measure 0.333333 [0,0.333333,0,0,0,0,0,0,1,0,1] f_measure 0.478836 [0.571429,0.5,0,0,0,0,0,0,0.666667,0,1] f_measure 0.486772 [0.571429,0.5,0,0,0,1,0,0,0.666667,0,0] f_measure 0.608466 [0.571429,0.666667,0,0,0,0,1,0,1,0,1] f_measure 0.296296 [0.333333,0.666667,0,0,0,0,0,0,0,0,0] f_measure 0.444444 [0.5,0,0,0,0,1,0,0,1,0,1] f_measure 0.555556 [0.666667,1,0,0,0,0,0,0,0.666667,0,1] f_measure 0.615873 [0.571429,0.8,0,0,0,0,0,0,1,0,1] f_measure 0.6 [0.666667,0.8,0,0,0,0,1,0,0.666667,0,0] f_measure 0.571429 [0.571429,1,0,0,0,0,1,0,0,0,1] f_measure 0.349206 [0.571429,0.5,0,0,0,0,0,0,0.5,0,0] f_measure 0.452381 [0.5,0.857143,0,0,0,0,0,0,0.5,0,0] f_measure 0.592593 [0.666667,0.666667,0,0,0,0,0,0,1,0,1] f_measure 0.42328 [0.571429,0,0,0,0,0,1,0,0.666667,0,1] f_measure 0.467725 [0.571429,0.8,0,0,0,0,0,0,0.666667,0,0] f_measure 0.688889 [0.8,0.8,0,0,0,0,1,0,1,0,1] f_measure 0.540741 [0.8,0.8,0,0,0,0,0,0,0.666667,0,1] f_measure 0.457407 [0.75,0.4,0,0,0,0,0,0,0.666667,0,0] f_measure 0.540741 [0.333333,0.4,0,0,0,0,1,0,1,0,1] kappa 0.358974 kappa 0.268293 kappa 0.605263 kappa 0.52381 kappa 0.39759 kappa 0.324324 kappa 0.473684 kappa 0.5 kappa 0.142857 kappa 0.480519 kappa 0.259259 kappa 0.39759 kappa 0.342105 kappa 0.390244 kappa 0.259259 kappa 0.620253 kappa 0.358974 kappa 0.382716 kappa 0.506173 kappa 0.230769 kappa 0.390244 kappa 0.518072 kappa 0.390244 kappa 0.39759 kappa 0.5 kappa 0.277108 kappa 0.638554 kappa 0.324324 kappa 0.294118 kappa 0.638554 kappa 0.382716 kappa 0.390244 kappa 0.39759 kappa 0.625 kappa 0.166667 kappa 0.39759 kappa 0.404762 kappa 0.5 kappa 0.52381 kappa 0.382716 kappa 0.518072 kappa 0.39759 kappa 0.518072 kappa 0.5 kappa 0.480519 kappa 0.512195 kappa 0.404762 kappa 0.39759 kappa 0.39759 kappa 0.277108 kappa 0.52381 kappa 0.518072 kappa 0.390244 kappa 0.382716 kappa 0.277108 kappa 0.638554 kappa 0.25 kappa 0.146341 kappa 0.52381 kappa 0.39759 kappa 0.55 kappa 0.428571 kappa 0.15625 kappa 0.584615 kappa 0.590909 kappa 0.584615 kappa 0.446154 kappa 0.454545 kappa 0.446154 kappa 0.584615 kappa 0.389831 kappa 0.196429 kappa 0.454545 kappa 0.015625 kappa 0.727273 kappa 0.318182 kappa 0.059701 kappa 0.454545 kappa 0.318182 kappa 0.4375 kappa 0.446154 kappa 0.129032 kappa 0.446154 kappa 0.419355 kappa 0.590909 kappa 0.15625 kappa 0.454545 kappa 0.590909 kappa 0.571429 kappa 0.578125 kappa 0.584615 kappa 0.307692 kappa 0.419355 kappa 0.542373 kappa 0.462687 kappa 0.428571 kappa 0.727273 kappa 0.590909 kappa 0.37931 kappa 0.4375 kb_relative_information_score 5.898156 kb_relative_information_score 6.030272 kb_relative_information_score 5.292544 kb_relative_information_score 6.843837 kb_relative_information_score 5.71823 kb_relative_information_score 5.104035 kb_relative_information_score 5.735415 kb_relative_information_score 5.728891 kb_relative_information_score 3.611809 kb_relative_information_score 6.3196 kb_relative_information_score 4.900264 kb_relative_information_score 5.935069 kb_relative_information_score 5.198419 kb_relative_information_score 4.990901 kb_relative_information_score 4.702268 kb_relative_information_score 6.609301 kb_relative_information_score 5.602852 kb_relative_information_score 4.416851 kb_relative_information_score 5.48863 kb_relative_information_score 5.389767 kb_relative_information_score 5.023288 kb_relative_information_score 6.448109 kb_relative_information_score 5.023603 kb_relative_information_score 5.906688 kb_relative_information_score 6.438051 kb_relative_information_score 5.806069 kb_relative_information_score 6.438288 kb_relative_information_score 4.831832 kb_relative_information_score 4.250088 kb_relative_information_score 5.266354 kb_relative_information_score 5.207097 kb_relative_information_score 5.989174 kb_relative_information_score 5.020942 kb_relative_information_score 5.853787 kb_relative_information_score 3.083027 kb_relative_information_score 4.33652 kb_relative_information_score 5.3692 kb_relative_information_score 5.754638 kb_relative_information_score 6.448109 kb_relative_information_score 5.739455 kb_relative_information_score 6.672313 kb_relative_information_score 5.796247 kb_relative_information_score 6.395319 kb_relative_information_score 6.695427 kb_relative_information_score 3.824403 kb_relative_information_score 5.757285 kb_relative_information_score 5.363198 kb_relative_information_score 6.761381 kb_relative_information_score 5.938631 kb_relative_information_score 6.409041 kb_relative_information_score 6.090417 kb_relative_information_score 4.945334 kb_relative_information_score 6.850505 kb_relative_information_score 7.075035 kb_relative_information_score 5.479696 kb_relative_information_score 4.893907 kb_relative_information_score 4.225169 kb_relative_information_score 6.307799 kb_relative_information_score 6.556044 kb_relative_information_score 4.8453 kb_relative_information_score 5.555919 kb_relative_information_score 4.813634 kb_relative_information_score 5.135948 kb_relative_information_score 3.845937 kb_relative_information_score 5.87871 kb_relative_information_score 6.3189 kb_relative_information_score 4.655282 kb_relative_information_score 5.225018 kb_relative_information_score 5.221466 kb_relative_information_score 5.658911 kb_relative_information_score 4.85793 kb_relative_information_score 5.108085 kb_relative_information_score 5.001667 kb_relative_information_score 3.611723 kb_relative_information_score 6.847185 kb_relative_information_score 5.695563 kb_relative_information_score 4.419697 kb_relative_information_score 4.260166 kb_relative_information_score 5.200169 kb_relative_information_score 4.397361 kb_relative_information_score 4.84389 kb_relative_information_score 3.926748 kb_relative_information_score 4.806724 kb_relative_information_score 4.876886 kb_relative_information_score 5.861227 kb_relative_information_score 4.713932 kb_relative_information_score 5.051762 kb_relative_information_score 4.002552 kb_relative_information_score 5.950702 kb_relative_information_score 4.782167 kb_relative_information_score 4.766107 kb_relative_information_score 3.820765 kb_relative_information_score 3.882451 kb_relative_information_score 4.610023 kb_relative_information_score 5.966519 kb_relative_information_score 5.391086 kb_relative_information_score 5.675099 kb_relative_information_score 6.28757 kb_relative_information_score 4.489922 kb_relative_information_score 4.461116 mean_absolute_error 0.09395 mean_absolute_error 0.088138 mean_absolute_error 0.082325 mean_absolute_error 0.082325 mean_absolute_error 0.088138 mean_absolute_error 0.09395 mean_absolute_error 0.082325 mean_absolute_error 0.088137 mean_absolute_error 0.105576 mean_absolute_error 0.076512 mean_absolute_error 0.105576 mean_absolute_error 0.088138 mean_absolute_error 0.088138 mean_absolute_error 0.09395 mean_absolute_error 0.099763 mean_absolute_error 0.076512 mean_absolute_error 0.082325 mean_absolute_error 0.105576 mean_absolute_error 0.09395 mean_absolute_error 0.09395 mean_absolute_error 0.09395 mean_absolute_error 0.082325 mean_absolute_error 0.099763 mean_absolute_error 0.082325 mean_absolute_error 0.064886 mean_absolute_error 0.09395 mean_absolute_error 0.076512 mean_absolute_error 0.088138 mean_absolute_error 0.111389 mean_absolute_error 0.082325 mean_absolute_error 0.099763 mean_absolute_error 0.082325 mean_absolute_error 0.099763 mean_absolute_error 0.076512 mean_absolute_error 0.117201 mean_absolute_error 0.099763 mean_absolute_error 0.09395 mean_absolute_error 0.076512 mean_absolute_error 0.082325 mean_absolute_error 0.09395 mean_absolute_error 0.076512 mean_absolute_error 0.088138 mean_absolute_error 0.082325 mean_absolute_error 0.076512 mean_absolute_error 0.105576 mean_absolute_error 0.082325 mean_absolute_error 0.09395 mean_absolute_error 0.088137 mean_absolute_error 0.09395 mean_absolute_error 0.099763 mean_absolute_error 0.088137 mean_absolute_error 0.088138 mean_absolute_error 0.082325 mean_absolute_error 0.070699 mean_absolute_error 0.09395 mean_absolute_error 0.09395 mean_absolute_error 0.105576 mean_absolute_error 0.09395 mean_absolute_error 0.088137 mean_absolute_error 0.099763 mean_absolute_error 0.058378 mean_absolute_error 0.084224 mean_absolute_error 0.097148 mean_absolute_error 0.097148 mean_absolute_error 0.071301 mean_absolute_error 0.064839 mean_absolute_error 0.077763 mean_absolute_error 0.084224 mean_absolute_error 0.077763 mean_absolute_error 0.084224 mean_absolute_error 0.077763 mean_absolute_error 0.077763 mean_absolute_error 0.090686 mean_absolute_error 0.116533 mean_absolute_error 0.064839 mean_absolute_error 0.090686 mean_absolute_error 0.110071 mean_absolute_error 0.097148 mean_absolute_error 0.090686 mean_absolute_error 0.090686 mean_absolute_error 0.077763 mean_absolute_error 0.110071 mean_absolute_error 0.084224 mean_absolute_error 0.090686 mean_absolute_error 0.090686 mean_absolute_error 0.097148 mean_absolute_error 0.097148 mean_absolute_error 0.090686 mean_absolute_error 0.071301 mean_absolute_error 0.084224 mean_absolute_error 0.090686 mean_absolute_error 0.110071 mean_absolute_error 0.090686 mean_absolute_error 0.084224 mean_absolute_error 0.077763 mean_absolute_error 0.077763 mean_absolute_error 0.071301 mean_absolute_error 0.071301 mean_absolute_error 0.084224 mean_absolute_error 0.090686 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 0.4 [0.25,0.5,0,0,0,0,0,0,1,0,1] precision 0.357143 [0.285714,1,0,0,0,0,1,0,0,0,0] precision 0.65 [0.5,0.666667,0,0,0,0,1,0,1,0,1] precision 0.45 [0.5,0.5,0,0,0,0,1,0,0.5,0,1] precision 0.48 [0.4,1,0,0,0,0,1,0,0,0,0] precision 0.3125 [0.375,0,0,0,0,0,0,0,1,0,1] precision 0.45 [0.5,0.5,0,0,0,0,1,0,0,0,1] precision 0.63 [0.4,1,0,0,0,0,0,0,0.5,0,1] precision 0.285714 [0.285714,0.666667,0,0,0,0,0,0,0,0,0] precision 0.5 [0.5,1,0,0,0,0,1,0,0.5,0,0] precision 0.407143 [0.285714,1,0,0,0,0,0,0,0.5,0,0] precision 0.466667 [0.333333,1,0,0,0,0,1,0,0,0,1] precision 0.5 [0.333333,0,0,0,0,0,1,0,1,0,1] precision 0.457143 [0.285714,1,0,0,0,0,1,0,1,0,0] precision 0.263333 [0.4,0.5,0,0,0,0,0,0,0.333333,0,0] precision 0.63 [0.6,1,0,0,0,1,0,0,0.5,0,1] precision 0.35 [0.5,0.5,0,0,0,0,1,0,0,0,0] precision 0.38 [0.4,0.5,0,0,0,0,0,0,0.5,0,1] precision 0.566667 [0.333333,1,0,0,0,0,0,0,1,0,1] precision 0.3 [0.5,0.25,0,0,0,0,1,0,0,0,0] precision 0.516667 [0.333333,1,0,0,0,0,0,0,0.5,0,1] precision 0.483333 [0.25,0.666667,0,0,0,0,1,0,1,0,1] precision 0.457143 [0.285714,1,0,0,0,0,1,0,0,0,1] precision 0.566667 [0.333333,1,0,0,0,0,1,0,0,0,1] precision 0.566667 [0.333333,1,0,0,0,0,0,0,1,0,1] precision 0.257143 [0.285714,0,0,0,0,0,1,0,0,0,1] precision 0.58 [0.4,1,0,0,0,0,1,0,1,0,1] precision 0.3125 [0.375,0,0,0,0,0,1,0,0,0,1] precision 0.28 [0.4,0.5,0,0,0,0,1,0,0,0,0] precision 0.533333 [0.5,0.666667,0,0,0,0,1,0,1,0,1] precision 0.357143 [0.285714,0,0,0,0,0,0,0,1,0,1] precision 0.366667 [0.333333,0.5,0,0,0,0,1,0,1,0,0] precision 0.3 [0.5,0.5,0,0,0,0,1,0,0,0,0] precision 0.55 [0.5,1,0,0,0,0,1,0,0.5,0,0] precision 0.2 [0.333333,0,0,0,0,0,0,0,0,0,1] precision 0.416667 [0.333333,1,0,0,0,0,1,0,0.5,0,0] precision 0.333333 [0.5,0.5,0,0,0,0,1,0,0.333333,0,0] precision 0.5 [0.5,0.5,0,0,0,1,1,0,0.5,0,0] precision 0.45 [0.5,0.5,0,0,0,0,1,0,0.5,0,1] precision 0.357143 [0.285714,1,0,0,0,0,0,0,0,0,1] precision 0.383333 [0.5,0.666667,0,0,0,0,1,0,0.5,0,0] precision 0.416667 [0.333333,1,0,0,0,0,1,0,0.5,0,0] precision 0.48 [0.4,0.5,0,0,0,0,1,0,1,0,1] precision 0.45 [0.5,0.666667,0,0,0,0,1,0,0.5,0,0] precision 0.363333 [0.6,0.666667,0,0,0,0,0,0,0.5,0,0] precision 0.4 [0.5,0.5,0,0,0,0,1,0,1,0,0] precision 0.316667 [0.333333,0,0,0,0,0,1,0,0.5,0,1] precision 0.44 [0.2,0.5,0,0,0,0,1,0,1,0,1] precision 0.416667 [0.333333,1,0,0,0,0,1,0,0.5,0,0] precision 0.207143 [0.285714,0,0,0,0,0,0,0,0.5,0,1] precision 0.53 [0.4,1,0,0,0,0,1,0,0.5,1,0] precision 0.383333 [0.5,0.666667,0,0,0,0,1,0,0.5,0,0] precision 0.366667 [0.333333,0.5,0,0,0,0,1,0,0,0,1] precision 0.357143 [0.285714,0,0,0,0,0,1,0,0,0,1] precision 0.29 [0.2,0.5,0,0,0,0,1,0,0.5,0,0] precision 0.58 [0.4,1,0,0,0,0,1,0,1,0,1] precision 0.45 [0.25,1,0,0,0,0,0,0,1,0,0] precision 0.233333 [0.166667,0.5,0,0,0,0,1,0,0,0,0] precision 0.53 [0.4,1,0,0,0,0,1,0,0.5,0,1] precision 0.416667 [0.333333,1,0,0,0,0,0,0,0.5,0,1] precision 0.5 [0.5,0,0,0,0,0,1,0,1,0,1] precision 0.5 [0.333333,0,0,0,0,1,0,0,0.5,0,1] precision 0.166667 [0.25,0,0,0,0,0,0,0,1,0,0] precision 0.481481 [0.5,0.666667,0,0,0,0,0,0,1,0,1] precision 0.722222 [0.5,1,0,0,0,0,1,0,0.5,0,1] precision 0.533333 [0.4,1,0,0,0,0,1,0,0,0,1] precision 0.588889 [0.4,1,0,0,0,0,0,0,0.5,0,1] precision 0.477778 [0.4,1,0,0,0,0,1,0,0.5,0,0] precision 0.518519 [0.333333,1,0,0,0,0,1,0,0,0,1] precision 0.611111 [0.5,1,0,0,0,0,0,0,0.5,0,1] precision 0.5 [0.5,1,0,0,0,0,1,0,0,0,0] precision 0.236111 [0.375,0,0,0,0,0,0,0,0,0,1] precision 0.477778 [0.4,1,0,0,0,0,0,0,0.5,0,1] precision 0.055556 [0.25,0,0,0,0,0,0,0,0,0,0] precision 0.62963 [0.666667,0.666667,0,0,0,0,1,0,1,0,1] precision 0.240741 [0.333333,0,0,0,0,0,1,0,0.5,0,0] precision 0.155556 [0.2,0.5,0,0,0,0,0,0,0,0,0] precision 0.477778 [0.4,1,0,0,0,0,1,0,0.5,0,0] precision 0.333333 [0.25,0.5,0,0,0,0,1,0,0.5,0,0] precision 0.62963 [0.333333,1,0,0,0,0,1,0,1,0,0] precision 0.37037 [0.5,0.666667,0,0,0,0,1,0,0,0,0] precision 0.333333 [0,0.333333,0,0,0,0,0,0,1,0,1] precision 0.588889 [0.4,1,0,0,0,0,0,0,0.5,0,1] precision 0.444444 [0.5,0.5,0,0,0,1,0,0,0.5,0,0] precision 0.644444 [0.4,1,0,0,0,0,1,0,1,0,1] precision 0.277778 [0.25,0.666667,0,0,0,0,0,0,0,0,0] precision 0.407407 [0.333333,0,0,0,0,1,0,0,1,0,1] precision 0.5 [0.5,1,0,0,0,0,0,0,0.5,0,1] precision 0.644444 [0.4,1,0,0,0,0,0,0,1,0,1] precision 0.611111 [0.5,1,0,0,0,0,1,0,0.5,0,0] precision 0.533333 [0.4,1,0,0,0,0,1,0,0,0,1] precision 0.459259 [0.4,1,0,0,0,0,0,0,0.333333,0,0] precision 0.398148 [0.5,0.75,0,0,0,0,0,0,0.333333,0,0] precision 0.611111 [0.5,1,0,0,0,0,0,0,1,0,1] precision 0.366667 [0.4,0,0,0,0,0,1,0,0.5,0,1] precision 0.477778 [0.4,1,0,0,0,0,0,0,0.5,0,0] precision 0.62963 [0.666667,0.666667,0,0,0,0,1,0,1,0,1] precision 0.462963 [0.666667,0.666667,0,0,0,0,0,0,0.5,0,1] precision 0.422222 [0.6,0.5,0,0,0,0,0,0,0.5,0,0] precision 0.555556 [0.25,0.5,0,0,0,0,1,0,1,0,1] predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.3 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.222222 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 0.222222 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.555556 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 prior_entropy 3.089168 recall 0.5 [0.5,0.666667,0,0,0,0,0,0,1,0,1] recall 0.4 [1,0.5,0,0,0,0,1,0,0,0,0] recall 0.7 [0.666667,0.666667,0,0,0,0,1,0,1,0,1] recall 0.6 [0.5,1,0,0,0,0,1,0,1,0,1] recall 0.5 [1,0.666667,0,0,0,0,1,0,0,0,0] recall 0.5 [1,0,0,0,0,0,0,0,1,0,1] recall 0.6 [1,0.5,0,0,0,0,1,0,0,0,1] recall 0.6 [1,0.666667,0,0,0,0,0,0,1,0,0.5] recall 0.4 [0.666667,0.666667,0,0,0,0,0,0,0,0,0] recall 0.6 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.4 [1,0.333333,0,0,0,0,0,0,1,0,0] recall 0.5 [1,0.5,0,0,0,0,1,0,0,0,1] recall 0.5 [0.666667,0,0,0,0,0,1,0,1,0,0.5] recall 0.5 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.4 [1,0.333333,0,0,0,0,0,0,1,0,0] recall 0.7 [1,0.5,0,0,0,1,0,0,1,0,1] recall 0.5 [0.666667,1,0,0,0,0,1,0,0,0,0] recall 0.5 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.6 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.4 [0.666667,0.5,0,0,0,0,1,0,0,0,0] recall 0.5 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.6 [0.5,1,0,0,0,0,1,0,1,0,1] recall 0.5 [1,0.5,0,0,0,0,1,0,0,0,1] recall 0.5 [1,0.333333,0,0,0,0,1,0,0,0,1] recall 0.6 [1,0.666667,0,0,0,0,0,0,1,0,1] recall 0.4 [1,0,0,0,0,0,1,0,0,0,1] recall 0.7 [1,1,0,0,0,0,1,0,1,0,1] recall 0.5 [1,0,0,0,0,0,1,0,0,0,1] recall 0.4 [1,0.5,0,0,0,0,1,0,0,0,0] recall 0.7 [1,1,0,0,0,0,1,0,1,0,1] recall 0.5 [1,0,0,0,0,0,0,0,1,0,1] recall 0.5 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.5 [1,1,0,0,0,0,1,0,0,0,0] recall 0.7 [1,1,0,0,0,0,1,0,1,0,0] recall 0.4 [1,0,0,0,0,0,0,0,0,0,1] recall 0.5 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.5 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.6 [0.666667,0.5,0,0,0,1,1,0,1,0,0] recall 0.6 [1,0.5,0,0,0,0,1,0,1,0,1] recall 0.5 [1,1,0,0,0,0,0,0,0,0,1] recall 0.6 [1,1,0,0,0,0,1,0,1,0,0] recall 0.5 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.6 [1,0.5,0,0,0,0,1,0,1,0,1] recall 0.6 [1,0.666667,0,0,0,0,1,0,1,0,0] recall 0.6 [1,1,0,0,0,0,0,0,1,0,0] recall 0.6 [1,1,0,0,0,0,1,0,1,0,0] recall 0.5 [1,0,0,0,0,0,1,0,1,0,1] recall 0.5 [0.5,0.5,0,0,0,0,1,0,1,0,1] recall 0.5 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.4 [1,0,0,0,0,0,0,0,1,0,1] recall 0.6 [1,0.5,0,0,0,0,1,0,1,1,0] recall 0.6 [1,1,0,0,0,0,1,0,1,0,0] recall 0.5 [1,0.5,0,0,0,0,1,0,0,0,1] recall 0.5 [1,0,0,0,0,0,1,0,0,0,1] recall 0.4 [0.5,0.5,0,0,0,0,1,0,1,0,0] recall 0.7 [1,1,0,0,0,0,1,0,1,0,1] recall 0.4 [1,0.333333,0,0,0,0,0,0,1,0,0] recall 0.3 [0.5,0.5,0,0,0,0,1,0,0,0,0] recall 0.6 [1,0.5,0,0,0,0,1,0,1,0,1] recall 0.5 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.666667 [1,0,0,0,0,0,1,0,1,0,1] recall 0.555556 [0.333333,0,0,0,0,1,0,0,1,0,1] recall 0.333333 [1,0,0,0,0,0,0,0,1,0,0] recall 0.666667 [1,1,0,0,0,0,0,0,1,0,1] recall 0.666667 [1,0.5,0,0,0,0,1,0,1,0,0.5] recall 0.666667 [1,1,0,0,0,0,1,0,0,0,1] recall 0.555556 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.555556 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.555556 [1,0.5,0,0,0,0,1,0,0,0,1] recall 0.666667 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.555556 [1,0.5,0,0,0,0,1,0,0,0,0] recall 0.444444 [1,0,0,0,0,0,0,0,0,0,1] recall 0.555556 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.222222 [1,0,0,0,0,0,0,0,0,0,0] recall 0.777778 [1,1,0,0,0,0,1,0,1,0,1] recall 0.444444 [1,0,0,0,0,0,1,0,1,0,0] recall 0.222222 [0.5,0.5,0,0,0,0,0,0,0,0,0] recall 0.555556 [1,0.5,0,0,0,0,1,0,1,0,0] recall 0.444444 [0.5,0.5,0,0,0,0,1,0,1,0,0] recall 0.555556 [1,0.333333,0,0,0,0,1,0,1,0,0] recall 0.555556 [1,1,0,0,0,0,1,0,0,0,0] recall 0.333333 [0,0.333333,0,0,0,0,0,0,1,0,1] recall 0.555556 [1,0.333333,0,0,0,0,0,0,1,0,1] recall 0.555556 [0.666667,0.5,0,0,0,1,0,0,1,0,0] recall 0.666667 [1,0.5,0,0,0,0,1,0,1,0,1] recall 0.333333 [0.5,0.666667,0,0,0,0,0,0,0,0,0] recall 0.555556 [1,0,0,0,0,1,0,0,1,0,1] recall 0.666667 [1,1,0,0,0,0,0,0,1,0,1] recall 0.666667 [1,0.666667,0,0,0,0,0,0,1,0,1] recall 0.666667 [1,0.666667,0,0,0,0,1,0,1,0,0] recall 0.666667 [1,1,0,0,0,0,1,0,0,0,1] recall 0.444444 [1,0.333333,0,0,0,0,0,0,1,0,0] recall 0.555556 [0.5,1,0,0,0,0,0,0,1,0,0] recall 0.666667 [1,0.5,0,0,0,0,0,0,1,0,1] recall 0.555556 [1,0,0,0,0,0,1,0,1,0,1] recall 0.555556 [1,0.666667,0,0,0,0,0,0,1,0,0] recall 0.777778 [1,1,0,0,0,0,1,0,1,0,1] recall 0.666667 [1,1,0,0,0,0,0,0,1,0,1] recall 0.555556 [1,0.333333,0,0,0,0,0,0,1,0,0] recall 0.555556 [0.5,0.333333,0,0,0,0,1,0,1,0,1] relative_absolute_error 0.608248 relative_absolute_error 0.561352 relative_absolute_error 0.544973 relative_absolute_error 0.52433 relative_absolute_error 0.569988 relative_absolute_error 0.620536 relative_absolute_error 0.534747 relative_absolute_error 0.575043 relative_absolute_error 0.694982 relative_absolute_error 0.49699 relative_absolute_error 0.683513 relative_absolute_error 0.561352 relative_absolute_error 0.575682 relative_absolute_error 0.598374 relative_absolute_error 0.647305 relative_absolute_error 0.495895 relative_absolute_error 0.534747 relative_absolute_error 0.682013 relative_absolute_error 0.600323 relative_absolute_error 0.610262 relative_absolute_error 0.609589 relative_absolute_error 0.52433 relative_absolute_error 0.634023 relative_absolute_error 0.532397 relative_absolute_error 0.42101 relative_absolute_error 0.598374 relative_absolute_error 0.486256 relative_absolute_error 0.578894 relative_absolute_error 0.704105 relative_absolute_error 0.523198 relative_absolute_error 0.638853 relative_absolute_error 0.522633 relative_absolute_error 0.628593 relative_absolute_error 0.496442 relative_absolute_error 0.757945 relative_absolute_error 0.634023 relative_absolute_error 0.595795 relative_absolute_error 0.494262 relative_absolute_error 0.52433 relative_absolute_error 0.591334 relative_absolute_error 0.487308 relative_absolute_error 0.56014 relative_absolute_error 0.523198 relative_absolute_error 0.49535 relative_absolute_error 0.682762 relative_absolute_error 0.523198 relative_absolute_error 0.609589 relative_absolute_error 0.56014 relative_absolute_error 0.598374 relative_absolute_error 0.632657 relative_absolute_error 0.558331 relative_absolute_error 0.56014 relative_absolute_error 0.523198 relative_absolute_error 0.451753 relative_absolute_error 0.596437 relative_absolute_error 0.596437 relative_absolute_error 0.681265 relative_absolute_error 0.597081 relative_absolute_error 0.561352 relative_absolute_error 0.631976 relative_absolute_error 0.383618 relative_absolute_error 0.556921 relative_absolute_error 0.624444 relative_absolute_error 0.619184 relative_absolute_error 0.462234 relative_absolute_error 0.417787 relative_absolute_error 0.510371 relative_absolute_error 0.542693 relative_absolute_error 0.501058 relative_absolute_error 0.544681 relative_absolute_error 0.511004 relative_absolute_error 0.517424 relative_absolute_error 0.58291 relative_absolute_error 0.747234 relative_absolute_error 0.415764 relative_absolute_error 0.581499 relative_absolute_error 0.707513 relative_absolute_error 0.625964 relative_absolute_error 0.581499 relative_absolute_error 0.596668 relative_absolute_error 0.498631 relative_absolute_error 0.720631 relative_absolute_error 0.55278 relative_absolute_error 0.595928 relative_absolute_error 0.581499 relative_absolute_error 0.637599 relative_absolute_error 0.622932 relative_absolute_error 0.58291 relative_absolute_error 0.466805 relative_absolute_error 0.554153 relative_absolute_error 0.579394 relative_absolute_error 0.722417 relative_absolute_error 0.595189 relative_absolute_error 0.553466 relative_absolute_error 0.499841 relative_absolute_error 0.510371 relative_absolute_error 0.459422 relative_absolute_error 0.458307 relative_absolute_error 0.565391 relative_absolute_error 0.596668 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 0.232119 root_mean_squared_error 0.223439 root_mean_squared_error 0.205557 root_mean_squared_error 0.196309 root_mean_squared_error 0.214961 root_mean_squared_error 0.232119 root_mean_squared_error 0.210029 root_mean_squared_error 0.223439 root_mean_squared_error 0.244806 root_mean_squared_error 0.195702 root_mean_squared_error 0.255939 root_mean_squared_error 0.214961 root_mean_squared_error 0.223439 root_mean_squared_error 0.236088 root_mean_squared_error 0.236591 root_mean_squared_error 0.180899 root_mean_squared_error 0.214407 root_mean_squared_error 0.244806 root_mean_squared_error 0.219782 root_mean_squared_error 0.239992 root_mean_squared_error 0.228081 root_mean_squared_error 0.205557 root_mean_squared_error 0.24432 root_mean_squared_error 0.222906 root_mean_squared_error 0.203815 root_mean_squared_error 0.232119 root_mean_squared_error 0.195702 root_mean_squared_error 0.227559 root_mean_squared_error 0.273924 root_mean_squared_error 0.222906 root_mean_squared_error 0.24432 root_mean_squared_error 0.210029 root_mean_squared_error 0.240487 root_mean_squared_error 0.190895 root_mean_squared_error 0.28105 root_mean_squared_error 0.269631 root_mean_squared_error 0.232119 root_mean_squared_error 0.200394 root_mean_squared_error 0.214407 root_mean_squared_error 0.232119 root_mean_squared_error 0.200394 root_mean_squared_error 0.219241 root_mean_squared_error 0.227037 root_mean_squared_error 0.195702 root_mean_squared_error 0.255939 root_mean_squared_error 0.218698 root_mean_squared_error 0.228081 root_mean_squared_error 0.210594 root_mean_squared_error 0.22397 root_mean_squared_error 0.220322 root_mean_squared_error 0.214961 root_mean_squared_error 0.243345 root_mean_squared_error 0.222906 root_mean_squared_error 0.1998 root_mean_squared_error 0.232119 root_mean_squared_error 0.236088 root_mean_squared_error 0.259544 root_mean_squared_error 0.232119 root_mean_squared_error 0.219241 root_mean_squared_error 0.236591 root_mean_squared_error 0.187868 root_mean_squared_error 0.211203 root_mean_squared_error 0.231077 root_mean_squared_error 0.235506 root_mean_squared_error 0.183712 root_mean_squared_error 0.171334 root_mean_squared_error 0.215435 root_mean_squared_error 0.211203 root_mean_squared_error 0.215435 root_mean_squared_error 0.195975 root_mean_squared_error 0.205618 root_mean_squared_error 0.210583 root_mean_squared_error 0.230511 root_mean_squared_error 0.281037 root_mean_squared_error 0.165192 root_mean_squared_error 0.221363 root_mean_squared_error 0.257526 root_mean_squared_error 0.244125 root_mean_squared_error 0.243589 root_mean_squared_error 0.239309 root_mean_squared_error 0.220179 root_mean_squared_error 0.273106 root_mean_squared_error 0.21604 root_mean_squared_error 0.211821 root_mean_squared_error 0.221363 root_mean_squared_error 0.235506 root_mean_squared_error 0.231077 root_mean_squared_error 0.243589 root_mean_squared_error 0.177998 root_mean_squared_error 0.206252 root_mean_squared_error 0.221363 root_mean_squared_error 0.269296 root_mean_squared_error 0.230511 root_mean_squared_error 0.220772 root_mean_squared_error 0.200529 root_mean_squared_error 0.195308 root_mean_squared_error 0.189254 root_mean_squared_error 0.177998 root_mean_squared_error 0.206252 root_mean_squared_error 0.221363 root_relative_squared_error 0.839915 root_relative_squared_error 0.795343 root_relative_squared_error 0.760924 root_relative_squared_error 0.698771 root_relative_squared_error 0.776965 root_relative_squared_error 0.857256 root_relative_squared_error 0.762531 root_relative_squared_error 0.814876 root_relative_squared_error 0.900982 root_relative_squared_error 0.710517 root_relative_squared_error 0.926107 root_relative_squared_error 0.765165 root_relative_squared_error 0.815798 root_relative_squared_error 0.84037 root_relative_squared_error 0.858008 root_relative_squared_error 0.655304 root_relative_squared_error 0.778428 root_relative_squared_error 0.883856 root_relative_squared_error 0.784866 root_relative_squared_error 0.871314 root_relative_squared_error 0.827146 root_relative_squared_error 0.731692 root_relative_squared_error 0.867803 root_relative_squared_error 0.805683 root_relative_squared_error 0.739145 root_relative_squared_error 0.826241 root_relative_squared_error 0.695118 root_relative_squared_error 0.835588 root_relative_squared_error 0.967782 root_relative_squared_error 0.791745 root_relative_squared_error 0.874389 root_relative_squared_error 0.745207 root_relative_squared_error 0.846956 root_relative_squared_error 0.69229 root_relative_squared_error 1.015838 root_relative_squared_error 0.957705 root_relative_squared_error 0.822706 root_relative_squared_error 0.72351 root_relative_squared_error 0.763195 root_relative_squared_error 0.816628 root_relative_squared_error 0.713313 root_relative_squared_error 0.778725 root_relative_squared_error 0.806415 root_relative_squared_error 0.708142 root_relative_squared_error 0.925078 root_relative_squared_error 0.776797 root_relative_squared_error 0.827146 root_relative_squared_error 0.748012 root_relative_squared_error 0.797234 root_relative_squared_error 0.780894 root_relative_squared_error 0.76108 root_relative_squared_error 0.864341 root_relative_squared_error 0.791745 root_relative_squared_error 0.713507 root_relative_squared_error 0.823586 root_relative_squared_error 0.837669 root_relative_squared_error 0.936033 root_relative_squared_error 0.824468 root_relative_squared_error 0.7804 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