172700 1 Jan van Rijn 4225 Supervised Classification predictive_accuracy 1070 weka.Ridor(3) 1840 weka.classifiers.rules.Ridor -- -F 3 -S 1 -N 2.0 F 3 1070 S 1 1070 N 2.0 1070 weka weka_3.7.12 385 tr31.wc https://www.openml.org/data/download/52497/tr31.wc.arff -1 569697 description https://api.openml.org/data/download/569697/weka_generated_run1593141398587748235.xml -1 569700 model_readable https://api.openml.org/data/download/569700/WekaModel_weka.classifiers.rules.Ridor899142158955968293.model -1 569699 model_serialized https://api.openml.org/data/download/569699/WekaSerialized_weka.classifiers.rules.Ridor7749811817331574740.model -1 569698 predictions https://api.openml.org/data/download/569698/weka_generated_predictions3583794647759736200.arff area_under_roc_curve 0.949505 [0.959058,0.952034,0.964464,0.84657,0.949335,0.925349,0.499946] average_cost 0 f_measure 0.923731 [0.947606,0.945274,0.940709,0.778667,0.917826,0.86886,0] kappa 0.899546 kb_relative_information_score 8239.263857 mean_absolute_error 0.021421 mean_prior_absolute_error 0.21447 number_of_instances 9270 [3520,630,1510,210,2270,1110,20] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.923336 [0.939665,0.989583,0.941021,0.884848,0.906009,0.869252,0] predictive_accuracy 0.925027 prior_entropy 2.239341 recall 0.925027 [0.955682,0.904762,0.940397,0.695238,0.929956,0.868468,0] relative_absolute_error 0.099878 root_mean_prior_squared_error 0.327293 root_mean_squared_error 0.146359 root_relative_squared_error 0.447179 scimark_benchmark 1605.630273 [1094.5972705693544, 1238.402965993701, 679.1536015676355, 1236.5282295745858, 3779.4692976417155] total_cost 0 usercpu_time_millis 225980 usercpu_time_millis_testing 10 usercpu_time_millis_training 225970 area_under_roc_curve 0.930647 [0.940789,0.916667,0.980769,0.5,0.920497,0.936253,0.0] area_under_roc_curve 0.966525 [0.96345,0.833333,0.99359,1,0.978261,0.981707,0.0] area_under_roc_curve 0.957815 [0.939901,1,1,0.994444,0.947503,0.945988,0.0] area_under_roc_curve 0.93191 [0.951023,0.916667,0.920513,1,0.917734,0.948448,0.5] area_under_roc_curve 0.935299 [0.918129,0.916667,0.99359,0.994505,0.963975,0.851441,0.0] area_under_roc_curve 0.97238 [0.985714,1,0.993506,0.5,0.978873,0.954545,0.0] area_under_roc_curve 0.930371 [0.939901,0.851329,0.99359,0.994505,0.949689,0.812084,0.0] area_under_roc_curve 0.967728 [0.974138,1,0.99359,0.75,0.934783,1,0.0] area_under_roc_curve 0.923705 [0.951232,0.928571,0.966667,0.75,0.920807,0.812084,0.0] area_under_roc_curve 0.949255 [0.962808,1,0.960256,0.833333,0.964286,0.863636,0.0] area_under_roc_curve 0.947474 [0.968567,1,0.960256,1,0.92795,0.863636,0.0] area_under_roc_curve 0.953136 [0.972222,0.916667,0.966667,0.75,0.971429,0.890798,0.0] area_under_roc_curve 0.978241 [0.96345,1,0.987013,1,1,0.954545,0.0] area_under_roc_curve 0.928799 [0.945906,1,0.89359,1,0.917734,0.930155,0.5] area_under_roc_curve 0.973165 [0.977339,1,0.960256,0.827778,0.977273,0.993902,0.0] area_under_roc_curve 0.956177 [0.968567,0.928571,1,1,0.963188,0.851441,0.0] area_under_roc_curve 0.965921 [0.948522,1,0.987179,0.744505,0.992857,0.954545,0.0] area_under_roc_curve 0.930637 [0.925616,0.857143,0.941026,1,0.963975,0.896896,0.0] area_under_roc_curve 0.954175 [0.974138,1,0.920513,1,0.992857,0.818182,0.0] area_under_roc_curve 0.937797 [0.982759,0.91092,0.960256,0.75,0.898758,0.898148,0.0] area_under_roc_curve 0.954404 [0.959852,1,0.993506,0.75,0.92764,0.948448,0.0] area_under_roc_curve 0.933463 [0.954187,0.857143,0.96875,1,0.950704,0.818182,0.0] area_under_roc_curve 0.954919 [0.954678,1,0.960256,1,0.933419,0.954545,0.0] area_under_roc_curve 0.938896 [0.951232,1,0.9375,0.494505,0.978873,0.875,0.0] area_under_roc_curve 0.951875 [0.954187,0.928571,0.993506,1,0.931818,0.930155,0.0] area_under_roc_curve 0.942571 [0.945906,0.857143,0.953846,1,0.954545,0.936253,0.0] area_under_roc_curve 0.953726 [0.962808,1,0.953846,0.744505,0.949379,0.94235,0.0] area_under_roc_curve 0.964153 [0.968473,1,0.960256,1,1,0.851441,0.0] area_under_roc_curve 0.95671 [0.948522,1,0.966667,1,0.949689,0.948448,0.0] area_under_roc_curve 0.951658 [0.962808,1,0.933333,0.75,0.956832,0.936253,0.0] area_under_roc_curve 0.946707 [0.936946,1,1,0.744505,0.92764,0.95216,0.0] area_under_roc_curve 0.96804 [0.974138,0.857143,1,0.833333,0.977273,0.993902,0.0] area_under_roc_curve 0.936797 [0.942611,0.922757,0.933333,1,0.942236,0.909091,0.0] area_under_roc_curve 0.936327 [0.948522,1,0.933333,0.833333,0.913665,0.94235,0.0] area_under_roc_curve 0.970253 [0.991379,1,0.966667,1,0.956146,0.916667,0.0] area_under_roc_curve 0.959749 [0.977094,1,0.987179,0.494505,0.92764,0.993827,0.0] area_under_roc_curve 0.956568 [0.968473,0.916667,0.99359,0.744505,0.942236,0.958333,0.0] area_under_roc_curve 0.962375 [0.982759,1,1,1,0.963975,0.812084,0.0] area_under_roc_curve 0.937866 [0.939901,1,0.980769,0.75,0.905901,0.939815,0.0] area_under_roc_curve 0.936014 [0.962808,0.857143,0.960256,0.75,0.935404,0.902993,0.0] area_under_roc_curve 0.936929 [0.968473,0.928571,0.960256,0.666667,0.956146,0.845344,0.0] area_under_roc_curve 0.931098 [0.956897,0.928571,0.926923,0.5,0.924776,0.945988,0.0] area_under_roc_curve 0.9548 [0.945567,0.928571,1,0.75,0.992857,0.896896,0.0] area_under_roc_curve 0.948816 [0.985714,1,0.960256,1,0.898758,0.878603,0.0] area_under_roc_curve 0.923693 [0.914039,1,0.987179,0.75,0.942236,0.812084,0.0] area_under_roc_curve 0.946912 [0.965517,1,0.99359,0.833333,0.913043,0.896896,0.0] area_under_roc_curve 0.931568 [0.928325,0.916667,0.980769,0.833333,0.934783,0.902993,0.0] area_under_roc_curve 0.958921 [0.957143,1,0.960256,0.666667,0.971429,0.993902,0.0] area_under_roc_curve 0.9506 [0.954187,1,0.953846,0.833333,0.949379,0.94235,0.0] area_under_roc_curve 0.94377 [0.954187,1,0.960256,0.75,0.920497,0.936253,0.0] area_under_roc_curve 0.946815 [0.942857,1,0.920513,1,0.949104,0.987805,0.5] area_under_roc_curve 0.973939 [1,1,0.987179,1,0.971118,0.902993,0.5] area_under_roc_curve 0.937492 [0.957143,0.833333,0.99359,1,0.906522,0.948448,0.5] area_under_roc_curve 0.948071 [0.948522,1,0.987179,1,0.913043,0.924058,0.0] area_under_roc_curve 0.942725 [0.968473,1,0.926923,0.5,0.978571,0.896896,0.5] area_under_roc_curve 0.963853 [0.977094,1,1,1,0.956832,0.902993,0.5] area_under_roc_curve 0.928625 [0.93399,0.916667,0.960256,0.5,0.949379,0.948448,0.5] area_under_roc_curve 0.973077 [1,0.916667,1,0.744505,0.956832,1,0.5] area_under_roc_curve 0.93399 [0.93399,0.833333,0.966667,1,0.985714,0.863636,0.5] area_under_roc_curve 0.966234 [0.991379,1,0.99359,0.994505,0.92764,0.948448,0.5] area_under_roc_curve 0.966989 [0.991379,0.857143,1,0.75,0.977273,0.97561,0.5] area_under_roc_curve 0.964456 [0.991379,1,0.933333,0.994505,0.956832,0.954545,0.5] area_under_roc_curve 0.933662 [0.959852,1,0.926923,0.994505,0.92795,0.863636,0.5] area_under_roc_curve 0.965331 [1,1,0.933333,0.75,0.949689,0.948448,0.0] area_under_roc_curve 0.943157 [0.948522,1,0.960256,0.75,0.942547,0.948448,0.5] area_under_roc_curve 0.915385 [0.93399,0.833333,0.926923,0.75,0.898758,0.987805,0.5] area_under_roc_curve 0.927694 [0.959852,0.916667,0.987179,1,0.891615,0.851441,0.5] area_under_roc_curve 0.931019 [0.914039,0.916667,1,0.994505,0.942236,0.902993,0.5] area_under_roc_curve 0.968473 [0.968473,0.916667,1,0.75,0.985714,1,0.5] area_under_roc_curve 0.953009 [0.951232,0.833333,0.99359,0.75,1,0.948448,0.5] area_under_roc_curve 0.928158 [0.948371,0.916667,1,0.5,0.905797,0.896745,0.0] area_under_roc_curve 0.969489 [0.976942,1,1,0.75,0.956522,0.954545,0.0] area_under_roc_curve 0.925609 [0.924311,1,0.987013,0.75,0.913043,0.863636,0.0] area_under_roc_curve 0.945909 [0.962657,0.744186,0.993506,0.75,0.963768,0.936027,0.0] area_under_roc_curve 0.944778 [0.953885,0.916667,0.987013,0.75,0.913043,0.975309,0.0] area_under_roc_curve 0.992754 [1,1,1,1,0.992754,0.954545,0.0] area_under_roc_curve 0.958626 [0.977183,0.994186,0.966667,0.5,0.985714,0.896745,0.0] area_under_roc_curve 0.983929 [0.991071,1,1,0.75,0.992857,0.954545,0.0] area_under_roc_curve 0.964119 [0.963294,0.916667,0.960173,1,0.962987,0.993827,0.0] area_under_roc_curve 0.937654 [0.950397,0.916667,0.966667,0.75,0.94026,0.896745,0.0] area_under_roc_curve 0.978261 [0.985714,1,0.966667,1,0.978261,0.954545,0.0] area_under_roc_curve 0.920892 [0.911028,1,0.85368,1,0.963768,0.896745,0.0] area_under_roc_curve 0.951403 [0.962657,1,0.95368,0.5,0.942029,0.987654,0.0] area_under_roc_curve 0.978241 [0.976942,1,0.987013,1,0.956522,1,0.0] area_under_roc_curve 0.967963 [0.982456,1,0.866667,1,0.985507,1,0.0] area_under_roc_curve 0.949445 [0.953885,0.916667,0.966667,0.75,0.942029,0.981481,0.0] area_under_roc_curve 0.943827 [0.950397,1,0.966667,1,0.94026,0.857464,0.0] area_under_roc_curve 0.949018 [0.954365,1,0.92684,0.75,0.962987,0.9422,0.0] area_under_roc_curve 0.929375 [0.955357,0.833333,0.960173,0.75,0.924675,0.896745,0.0] area_under_roc_curve 0.954221 [0.968254,0.916667,0.993506,1,0.978571,0.818182,0.0] area_under_roc_curve 0.977809 [0.976942,1,0.966667,1,0.971014,0.993827,0.0] area_under_roc_curve 0.980408 [0.985714,1,1,0.75,0.992754,0.9422,0.0] area_under_roc_curve 0.909748 [0.927569,0.910853,0.860173,1,0.891304,0.9422,0.0] area_under_roc_curve 0.920304 [0.945113,0.833333,0.893506,0.994444,0.949275,0.851291,0.0] area_under_roc_curve 0.958739 [0.950627,0.916667,1,1,0.934783,0.993827,0.0] area_under_roc_curve 0.914921 [0.913283,0.833333,0.913853,1,0.934783,0.909091,0.0] area_under_roc_curve 0.963585 [0.982456,1,0.875,0.994444,0.97013,0.993827,0.0] area_under_roc_curve 0.951666 [0.934085,1,0.9375,0.994444,0.971429,0.954545,0.0] area_under_roc_curve 0.96067 [0.971429,1,0.9375,0.994444,0.955844,0.9422,0.0] area_under_roc_curve 0.923991 [0.925313,1,0.9375,0.75,0.887662,0.962963,0.0] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.883514 [0.929577,0.909091,0.909091,0,0.888889,0.833333,0] f_measure 0.945848 [0.957746,0.8,0.967742,1,0.977778,0.88,0] f_measure 0.936132 [0.927536,1,1,0.857143,0.930233,0.88,0] f_measure 0.897811 [0.933333,0.909091,0.866667,1,0.883721,0.909091,0] f_measure 0.902519 [0.901408,0.909091,0.967742,0.8,0.93617,0.761905,0] f_measure 0.947095 [0.985507,1,0.969697,0,0.93617,0.952381,0] f_measure 0.889493 [0.927536,0.769231,0.967742,0.8,0.897959,0.736842,0] f_measure 0.954908 [0.958904,1,0.967742,0.666667,0.930233,1,0] f_measure 0.889246 [0.931507,0.923077,0.965517,0.666667,0.857143,0.736842,0] f_measure 0.923511 [0.956522,1,0.933333,0.8,0.901961,0.842105,0] f_measure 0.92375 [0.958904,1,0.933333,1,0.875,0.842105,0] f_measure 0.924847 [0.971429,0.909091,0.965517,0.666667,0.92,0.782609,0] f_measure 0.967891 [0.957746,1,0.941176,1,1,0.952381,0] f_measure 0.88853 [0.931507,1,0.857143,1,0.883721,0.8,0] f_measure 0.957098 [0.972222,1,0.933333,0.666667,0.976744,0.956522,0] f_measure 0.93437 [0.958904,0.923077,1,1,0.933333,0.761905,0] f_measure 0.946134 [0.941176,1,0.9375,0.5,0.978723,0.952381,0] f_measure 0.892519 [0.911765,0.833333,0.848485,1,0.93617,0.818182,0] f_measure 0.931482 [0.958904,1,0.866667,1,0.978723,0.777778,0] f_measure 0.901341 [0.972222,0.833333,0.933333,0.666667,0.863636,0.8,0] f_measure 0.933475 [0.944444,1,0.969697,0.666667,0.909091,0.909091,0] f_measure 0.901647 [0.942857,0.833333,0.967742,1,0.862745,0.777778,0] f_measure 0.935825 [0.944444,1,0.933333,1,0.888889,0.952381,0] f_measure 0.907715 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f_measure 0.902329 [0.956522,0.833333,0.933333,0.666667,0.862745,0.857143,0] f_measure 0.898598 [0.957746,0.923077,0.933333,0.5,0.913043,0.727273,0] f_measure 0.892917 [0.933333,0.923077,0.896552,0,0.904762,0.88,0] f_measure 0.933771 [0.929577,0.923077,1,0.666667,0.978723,0.818182,0] f_measure 0.91695 [0.985507,1,0.933333,1,0.863636,0.72,0] f_measure 0.888303 [0.888889,1,0.9375,0.666667,0.913043,0.736842,0] f_measure 0.922944 [0.945946,1,0.967742,0.8,0.904762,0.818182,0] f_measure 0.902781 [0.90411,0.909091,0.909091,0.8,0.930233,0.857143,0] f_measure 0.93134 [0.955224,1,0.933333,0.5,0.92,0.956522,0] f_measure 0.924519 [0.942857,1,0.903226,0.8,0.933333,0.869565,0] f_measure 0.913381 [0.942857,1,0.933333,0.666667,0.888889,0.833333,0] f_measure 0.909911 [0.939394,1,0.866667,1,0.893617,0.916667,0] f_measure 0.951517 [1,1,0.9375,1,0.956522,0.857143,0] f_measure 0.899894 [0.955224,0.8,0.967742,1,0.823529,0.909091,0] f_measure 0.916933 [0.941176,1,0.9375,1,0.904762,0.769231,0] f_measure 0.898508 [0.957746,1,0.896552,0,0.938776,0.818182,0] f_measure 0.940988 [0.971429,1,1,1,0.916667,0.857143,0] f_measure 0.888759 [0.906667,0.909091,0.933333,0,0.933333,0.909091,0] f_measure 0.95202 [1,0.909091,1,0.5,0.916667,1,0] f_measure 0.906677 [0.906667,0.8,0.965517,1,0.958333,0.842105,0] f_measure 0.941207 [0.985915,1,0.967742,0.8,0.909091,0.909091,0] f_measure 0.940535 [0.985915,0.833333,1,0.666667,0.976744,0.846154,0] f_measure 0.941883 [0.985915,1,0.928571,0.8,0.916667,0.952381,0] f_measure 0.897763 [0.944444,1,0.896552,0.8,0.875,0.842105,0] f_measure 0.945322 [1,1,0.928571,0.666667,0.897959,0.909091,0] f_measure 0.908758 [0.941176,1,0.933333,0.666667,0.88,0.909091,0] f_measure 0.873784 [0.906667,0.8,0.896552,0.666667,0.863636,0.916667,0] f_measure 0.885761 [0.944444,0.909091,0.9375,1,0.844444,0.761905,0] f_measure 0.898863 [0.888889,0.909091,1,0.8,0.913043,0.857143,0] f_measure 0.950007 [0.957746,0.909091,1,0.666667,0.958333,1,0] f_measure 0.927443 [0.931507,0.8,0.967742,0.666667,1,0.909091,0] f_measure 0.884097 [0.941176,0.909091,1,0,0.823529,0.818182,0] f_measure 0.955357 [0.971429,1,1,0.666667,0.916667,0.952381,0] f_measure 0.899829 [0.894737,1,0.9375,0.666667,0.904762,0.842105,0] f_measure 0.908982 [0.956522,0.6,0.967742,0.666667,0.93617,0.833333,0] f_measure 0.912691 [0.942857,0.909091,0.9375,0.666667,0.904762,0.846154,0] f_measure 0.988987 [1,1,1,1,0.978723,0.952381,0] f_measure 0.924616 [0.972222,0.923077,0.965517,0,0.956522,0.818182,0] f_measure 0.976386 [0.986301,1,1,0.666667,0.977778,0.952381,0] f_measure 0.945527 [0.957746,0.909091,0.933333,1,0.933333,0.956522,0] f_measure 0.911637 [0.933333,0.909091,0.965517,0.666667,0.909091,0.818182,0] f_measure 0.967865 [0.985507,1,0.965517,1,0.938776,0.952381,0] f_measure 0.879066 [0.895522,1,0.785714,1,0.901961,0.818182,0] f_measure 0.914239 [0.956522,1,0.903226,0,0.913043,0.916667,0] f_measure 0.967577 [0.971429,1,0.9375,1,0.954545,1,0] f_measure 0.953932 [0.972222,1,0.846154,1,0.958333,1,0] f_measure 0.923376 [0.942857,0.909091,0.965517,0.666667,0.913043,0.88,0] f_measure 0.922639 [0.933333,1,0.965517,1,0.909091,0.8,0] f_measure 0.92261 [0.944444,1,0.896552,0.666667,0.933333,0.869565,0] f_measure 0.898918 [0.935065,0.8,0.933333,0.666667,0.904762,0.818182,0] f_measure 0.930897 [0.958904,0.909091,0.967742,1,0.93617,0.777778,0] f_measure 0.96744 [0.971429,1,0.965517,1,0.956522,0.956522,0] f_measure 0.966325 [0.985507,1,1,0.666667,0.978723,0.869565,0] f_measure 0.867973 [0.90411,0.833333,0.814815,1,0.844444,0.869565,0] f_measure 0.878547 [0.929577,0.8,0.857143,0.8,0.897959,0.761905,0] f_measure 0.945374 [0.931507,0.909091,1,1,0.930233,0.956522,0] f_measure 0.879836 [0.888889,0.8,0.83871,1,0.893617,0.9,0] f_measure 0.944172 [0.972222,1,0.857143,0.8,0.954545,0.956522,0] f_measure 0.930046 [0.925373,1,0.933333,0.8,0.916667,0.952381,0] f_measure 0.936479 [0.970588,1,0.933333,0.8,0.913043,0.869565,0] f_measure 0.883042 [0.911765,1,0.933333,0.666667,0.837209,0.785714,0] kappa 0.85559 kappa 0.92803 kappa 0.915043 kappa 0.86928 kappa 0.870253 kappa 0.942575 kappa 0.856592 kappa 0.942209 kappa 0.854209 kappa 0.899226 kappa 0.898106 kappa 0.898756 kappa 0.956858 kappa 0.856171 kappa 0.942672 kappa 0.913219 kappa 0.928725 kappa 0.857187 kappa 0.912976 kappa 0.870273 kappa 0.913354 kappa 0.869829 kappa 0.913609 kappa 0.883732 kappa 0.900367 kappa 0.884741 kappa 0.900276 kappa 0.928152 kappa 0.914312 kappa 0.899769 kappa 0.899257 kappa 0.942406 kappa 0.883895 kappa 0.87131 kappa 0.942575 kappa 0.914048 kappa 0.913542 kappa 0.92775 kappa 0.871685 kappa 0.870092 kappa 0.870634 kappa 0.869239 kappa 0.913448 kappa 0.886308 kappa 0.855388 kappa 0.898976 kappa 0.870092 kappa 0.914312 kappa 0.899908 kappa 0.885521 kappa 0.887153 kappa 0.942681 kappa 0.871151 kappa 0.886999 kappa 0.884184 kappa 0.928174 kappa 0.868541 kappa 0.942495 kappa 0.882798 kappa 0.928495 kappa 0.928462 kappa 0.928096 kappa 0.870011 kappa 0.928007 kappa 0.885344 kappa 0.839831 kappa 0.855792 kappa 0.870313 kappa 0.9422 kappa 0.912853 kappa 0.853713 kappa 0.941504 kappa 0.866688 kappa 0.883415 kappa 0.884094 kappa 0.985425 kappa 0.91192 kappa 0.970574 kappa 0.927065 kappa 0.881539 kappa 0.956301 kappa 0.840479 kappa 0.898198 kappa 0.956467 kappa 0.941289 kappa 0.898004 kappa 0.896579 kappa 0.897485 kappa 0.865933 kappa 0.911411 kappa 0.956384 kappa 0.956377 kappa 0.824092 kappa 0.838622 kappa 0.926787 kappa 0.83808 kappa 0.927204 kappa 0.899312 kappa 0.91352 kappa 0.841826 kb_relative_information_score 77.083485 kb_relative_information_score 84.730342 kb_relative_information_score 87.051566 kb_relative_information_score 80.33065 kb_relative_information_score 80.291439 kb_relative_information_score 85.349257 kb_relative_information_score 79.102817 kb_relative_information_score 86.272893 kb_relative_information_score 77.937733 kb_relative_information_score 83.091977 kb_relative_information_score 82.489343 kb_relative_information_score 80.97994 kb_relative_information_score 88.177013 kb_relative_information_score 79.88652 kb_relative_information_score 87.000487 kb_relative_information_score 83.908042 kb_relative_information_score 85.652916 kb_relative_information_score 79.783451 kb_relative_information_score 83.966847 kb_relative_information_score 79.229815 kb_relative_information_score 83.694715 kb_relative_information_score 80.101387 kb_relative_information_score 85.272603 kb_relative_information_score 79.522997 kb_relative_information_score 84.23809 kb_relative_information_score 81.727197 kb_relative_information_score 83.123934 kb_relative_information_score 85.767008 kb_relative_information_score 85.710293 kb_relative_information_score 82.928581 kb_relative_information_score 82.958754 kb_relative_information_score 86.772026 kb_relative_information_score 81.981354 kb_relative_information_score 81.595057 kb_relative_information_score 87.51763 kb_relative_information_score 82.909906 kb_relative_information_score 83.207531 kb_relative_information_score 85.446331 kb_relative_information_score 80.937275 kb_relative_information_score 79.218571 kb_relative_information_score 79.55141 kb_relative_information_score 78.871406 kb_relative_information_score 83.364182 kb_relative_information_score 82.860633 kb_relative_information_score 79.129161 kb_relative_information_score 83.335137 kb_relative_information_score 80.785807 kb_relative_information_score 84.07519 kb_relative_information_score 83.81189 kb_relative_information_score 82.035157 kb_relative_information_score 84.031645 kb_relative_information_score 86.614753 kb_relative_information_score 80.631196 kb_relative_information_score 83.728092 kb_relative_information_score 79.341997 kb_relative_information_score 85.68205 kb_relative_information_score 78.124604 kb_relative_information_score 85.309232 kb_relative_information_score 80.492558 kb_relative_information_score 85.885932 kb_relative_information_score 84.355025 kb_relative_information_score 85.495226 kb_relative_information_score 80.576279 kb_relative_information_score 84.793986 kb_relative_information_score 81.550964 kb_relative_information_score 76.769234 kb_relative_information_score 79.194282 kb_relative_information_score 80.955165 kb_relative_information_score 85.465307 kb_relative_information_score 82.24387 kb_relative_information_score 76.096668 kb_relative_information_score 84.702572 kb_relative_information_score 78.538773 kb_relative_information_score 78.45176 kb_relative_information_score 80.179568 kb_relative_information_score 89.154336 kb_relative_information_score 80.346584 kb_relative_information_score 86.442435 kb_relative_information_score 84.310438 kb_relative_information_score 78.826612 kb_relative_information_score 86.937504 kb_relative_information_score 77.905569 kb_relative_information_score 80.41541 kb_relative_information_score 87.492813 kb_relative_information_score 85.466549 kb_relative_information_score 81.072992 kb_relative_information_score 81.580866 kb_relative_information_score 80.919993 kb_relative_information_score 76.897834 kb_relative_information_score 81.821114 kb_relative_information_score 87.29746 kb_relative_information_score 85.791349 kb_relative_information_score 76.024598 kb_relative_information_score 75.90489 kb_relative_information_score 84.631333 kb_relative_information_score 76.616274 kb_relative_information_score 84.638992 kb_relative_information_score 83.116486 kb_relative_information_score 83.893114 kb_relative_information_score 77.779826 mean_absolute_error 0.030722 mean_absolute_error 0.015361 mean_absolute_error 0.018433 mean_absolute_error 0.02765 mean_absolute_error 0.02765 mean_absolute_error 0.012289 mean_absolute_error 0.030722 mean_absolute_error 0.012289 mean_absolute_error 0.030722 mean_absolute_error 0.021505 mean_absolute_error 0.021505 mean_absolute_error 0.021505 mean_absolute_error 0.009217 mean_absolute_error 0.030722 mean_absolute_error 0.012289 mean_absolute_error 0.018433 mean_absolute_error 0.015361 mean_absolute_error 0.030722 mean_absolute_error 0.018433 mean_absolute_error 0.02765 mean_absolute_error 0.018433 mean_absolute_error 0.02765 mean_absolute_error 0.018433 mean_absolute_error 0.024578 mean_absolute_error 0.021505 mean_absolute_error 0.024578 mean_absolute_error 0.021505 mean_absolute_error 0.015361 mean_absolute_error 0.018433 mean_absolute_error 0.021505 mean_absolute_error 0.021505 mean_absolute_error 0.012289 mean_absolute_error 0.024578 mean_absolute_error 0.02765 mean_absolute_error 0.012289 mean_absolute_error 0.018433 mean_absolute_error 0.018433 mean_absolute_error 0.015361 mean_absolute_error 0.02765 mean_absolute_error 0.02765 mean_absolute_error 0.02765 mean_absolute_error 0.02765 mean_absolute_error 0.018433 mean_absolute_error 0.024578 mean_absolute_error 0.030722 mean_absolute_error 0.021505 mean_absolute_error 0.02765 mean_absolute_error 0.018433 mean_absolute_error 0.021505 mean_absolute_error 0.024578 mean_absolute_error 0.024578 mean_absolute_error 0.012289 mean_absolute_error 0.02765 mean_absolute_error 0.024578 mean_absolute_error 0.024578 mean_absolute_error 0.015361 mean_absolute_error 0.02765 mean_absolute_error 0.012289 mean_absolute_error 0.024578 mean_absolute_error 0.015361 mean_absolute_error 0.015361 mean_absolute_error 0.015361 mean_absolute_error 0.02765 mean_absolute_error 0.015361 mean_absolute_error 0.024578 mean_absolute_error 0.033794 mean_absolute_error 0.030722 mean_absolute_error 0.02765 mean_absolute_error 0.012289 mean_absolute_error 0.018433 mean_absolute_error 0.031056 mean_absolute_error 0.012422 mean_absolute_error 0.02795 mean_absolute_error 0.024845 mean_absolute_error 0.024845 mean_absolute_error 0.003106 mean_absolute_error 0.018634 mean_absolute_error 0.006211 mean_absolute_error 0.015528 mean_absolute_error 0.024845 mean_absolute_error 0.009317 mean_absolute_error 0.034161 mean_absolute_error 0.021739 mean_absolute_error 0.009317 mean_absolute_error 0.012422 mean_absolute_error 0.021739 mean_absolute_error 0.021739 mean_absolute_error 0.021739 mean_absolute_error 0.02795 mean_absolute_error 0.018634 mean_absolute_error 0.009317 mean_absolute_error 0.009317 mean_absolute_error 0.037267 mean_absolute_error 0.034161 mean_absolute_error 0.015528 mean_absolute_error 0.034161 mean_absolute_error 0.015528 mean_absolute_error 0.021739 mean_absolute_error 0.018634 mean_absolute_error 0.034161 mean_prior_absolute_error 0.213705 mean_prior_absolute_error 0.213705 mean_prior_absolute_error 0.215175 mean_prior_absolute_error 0.214445 mean_prior_absolute_error 0.213705 mean_prior_absolute_error 0.214906 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214498 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214794 mean_prior_absolute_error 0.213705 mean_prior_absolute_error 0.213705 mean_prior_absolute_error 0.213955 mean_prior_absolute_error 0.214445 mean_prior_absolute_error 0.214383 mean_prior_absolute_error 0.214245 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214498 mean_prior_absolute_error 0.214366 mean_prior_absolute_error 0.214906 mean_prior_absolute_error 0.214245 mean_prior_absolute_error 0.214748 mean_prior_absolute_error 0.214906 mean_prior_absolute_error 0.214245 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214498 mean_prior_absolute_error 0.215333 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214794 mean_prior_absolute_error 0.215037 mean_prior_absolute_error 0.214498 mean_prior_absolute_error 0.214498 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.214498 mean_prior_absolute_error 0.214656 mean_prior_absolute_error 0.215333 mean_prior_absolute_error 0.215037 mean_prior_absolute_error 0.214656 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mean_prior_absolute_error 0.214349 number_of_instances 93 [36,6,15,2,23,11,0] number_of_instances 93 [36,6,15,2,23,11,0] number_of_instances 93 [35,6,15,3,22,12,0] number_of_instances 93 [36,6,15,2,22,11,1] number_of_instances 93 [36,6,15,2,23,11,0] number_of_instances 93 [35,7,16,2,22,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,2,23,12,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,3,23,11,0] number_of_instances 93 [36,6,15,2,23,11,0] number_of_instances 93 [36,6,15,2,23,11,0] number_of_instances 93 [36,6,16,2,22,11,0] number_of_instances 93 [36,6,15,2,22,11,1] number_of_instances 93 [36,6,15,3,22,11,0] number_of_instances 93 [36,7,15,2,22,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,2,23,12,0] number_of_instances 93 [35,6,16,2,23,11,0] number_of_instances 93 [35,7,16,2,22,11,0] number_of_instances 93 [36,7,15,2,22,11,0] number_of_instances 93 [35,6,16,2,22,12,0] number_of_instances 93 [35,7,16,2,22,11,0] number_of_instances 93 [36,7,15,2,22,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,2,23,12,0] number_of_instances 93 [35,7,15,3,22,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,3,23,11,0] number_of_instances 93 [35,7,15,2,22,12,0] number_of_instances 93 [35,6,15,2,23,12,0] number_of_instances 93 [35,6,15,2,23,12,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,2,23,12,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,3,22,11,0] number_of_instances 93 [35,7,15,2,22,12,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,3,23,11,0] number_of_instances 93 [35,6,15,3,23,11,0] number_of_instances 93 [35,6,15,3,23,11,0] number_of_instances 93 [35,6,15,3,23,11,0] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,7,15,2,22,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,7,15,2,22,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,7,15,2,23,11,0] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 93 [35,6,15,2,23,11,1] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [36,6,15,2,22,11,0] number_of_instances 92 [36,6,15,2,22,11,0] number_of_instances 92 [36,6,15,2,22,11,0] number_of_instances 92 [36,6,15,2,22,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [36,6,15,2,22,11,0] number_of_instances 92 [36,6,15,2,22,11,0] number_of_instances 92 [36,6,15,2,22,11,0] number_of_instances 92 [36,6,15,2,22,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,15,2,23,11,0] number_of_instances 92 [35,6,16,2,22,11,0] number_of_instances 92 [35,6,16,2,22,11,0] number_of_instances 92 [35,6,16,2,22,11,0] number_of_instances 92 [35,6,16,2,22,11,0] precision 0.879715 [0.942857,1,0.833333,0,0.909091,0.769231,0] precision 0.953514 [0.971429,1,0.9375,1,1,0.785714,0] precision 0.938682 [0.941176,1,1,0.75,0.952381,0.846154,0] precision 0.894758 [0.897436,1,0.866667,1,0.904762,0.909091,0] precision 0.905306 [0.914286,1,0.9375,0.666667,0.916667,0.8,0] precision 0.939987 [1,1,0.941176,0,0.88,1,0] precision 0.895235 [0.941176,0.833333,0.9375,0.666667,0.846154,0.875,0] precision 0.960208 [0.921053,1,0.9375,1,1,1,0] precision 0.89804 [0.894737,1,1,1,0.807692,0.875,0] precision 0.934016 [0.970588,1,0.933333,1,0.821429,1,0] precision 0.928753 [0.945946,1,0.933333,1,0.84,1,0] precision 0.933791 [1,1,1,1,0.851852,0.75,0] precision 0.969824 [0.971429,1,0.888889,1,1,1,0] precision 0.889131 [0.918919,1,0.923077,1,0.904762,0.714286,0] precision 0.957885 [0.972222,1,0.933333,0.666667,1,0.916667,0] precision 0.93485 [0.945946,1,1,1,0.913043,0.8,0] precision 0.948563 [0.969697,1,0.882353,0.5,0.958333,1,0] precision 0.899234 [0.939394,1,0.777778,1,0.916667,0.818182,0] precision 0.938479 [0.921053,1,0.866667,1,0.958333,1,0] precision 0.904822 [0.945946,0.833333,0.933333,1,0.904762,0.769231,0] precision 0.936836 [0.918919,1,0.941176,1,0.952381,0.909091,0] precision 0.921394 [0.942857,1,1,1,0.758621,1,0] precision 0.936886 [0.944444,1,0.933333,1,0.869565,1,0] precision 0.910492 [0.894737,1,1,0,0.88,1,0] precision 0.93458 [0.942857,1,0.941176,1,1,0.714286,0] precision 0.921157 [0.918919,1,0.875,1,1,0.769231,0] precision 0.927062 [0.970588,1,0.875,0.5,0.954545,0.833333,0] precision 0.944683 [0.944444,1,0.933333,1,1,0.8,0] precision 0.939795 [0.969697,1,1,1,0.846154,0.909091,0] precision 0.931958 [0.970588,1,1,1,0.88,0.769231,0] precision 0.926032 [0.891892,1,1,0.5,0.952381,0.916667,0] precision 0.960432 [0.921053,1,1,1,1,0.916667,0] precision 0.919493 [0.871795,0.857143,1,1,0.913043,1,0] precision 0.913924 [0.969697,1,1,1,0.777778,0.833333,0] precision 0.959976 [0.972222,1,1,1,0.875,1,0] precision 0.927064 [0.971429,1,0.882353,0,0.952381,0.923077,0] precision 0.936753 [0.944444,1,0.9375,0.5,0.913043,1,0] precision 0.944263 [0.945946,1,1,1,0.916667,0.875,0] precision 0.910965 [0.941176,1,0.833333,1,0.95,0.785714,0] precision 0.913355 [0.970588,1,0.933333,1,0.785714,0.9,0] precision 0.906511 [0.944444,1,0.933333,1,0.875,0.727273,0] precision 0.888252 [0.875,1,0.928571,0,0.95,0.846154,0] precision 0.936828 [0.916667,1,1,1,0.958333,0.818182,0] precision 0.923451 [1,1,0.933333,1,0.904762,0.642857,0] precision 0.893877 [0.864865,1,0.882353,1,0.913043,0.875,0] precision 0.929815 [0.897436,1,0.9375,1,1,0.818182,0] precision 0.911771 [0.868421,1,0.833333,1,1,0.9,0] precision 0.942752 [1,1,0.933333,1,0.851852,0.916667,0] precision 0.927379 [0.942857,1,0.875,1,0.954545,0.833333,0] precision 0.917964 [0.942857,1,0.933333,1,0.909091,0.769231,0] precision 0.911696 [1,1,0.866667,1,0.84,0.846154,0] precision 0.947691 [1,1,0.882353,1,0.956522,0.9,0] precision 0.906586 [1,1,0.9375,1,0.75,0.909091,0] precision 0.930194 [0.969697,1,0.882353,1,1,0.666667,0] precision 0.885272 [0.944444,1,0.928571,0,0.884615,0.818182,0] precision 0.936989 [0.971429,1,1,1,0.88,0.9,0] precision 0.878543 [0.85,1,0.933333,0,0.954545,0.909091,0] precision 0.948817 [1,1,1,0.5,0.88,1,0] precision 0.913011 [0.85,1,1,1,0.92,1,0] precision 0.939015 [0.972222,1,0.9375,0.666667,0.952381,0.909091,0] precision 0.947252 [0.972222,1,1,1,1,0.733333,0] precision 0.941947 [0.972222,1,1,0.666667,0.88,1,0] precision 0.900474 [0.918919,1,0.928571,0.666667,0.84,1,0] precision 0.951199 [1,1,1,1,0.846154,0.909091,0] precision 0.910539 [0.969697,1,0.933333,1,0.814815,0.909091,0] precision 0.879525 [0.85,1,0.928571,1,0.904762,0.846154,0] precision 0.882377 [0.918919,1,0.882353,1,0.863636,0.8,0] precision 0.897888 [0.864865,1,1,0.666667,0.913043,0.9,0] precision 0.948554 [0.944444,1,1,1,0.92,1,0] precision 0.928799 [0.894737,1,0.9375,1,1,0.909091,0] precision 0.882493 [0.969697,1,1,0,0.75,0.818182,0] precision 0.95913 [0.971429,1,1,1,0.88,1,0] precision 0.915866 [0.829268,1,0.882353,1,1,1,0] precision 0.913891 [0.970588,0.75,0.9375,1,0.916667,0.769231,0] precision 0.927195 [0.942857,1,0.882353,1,1,0.733333,0] precision 0.989583 [1,1,1,1,0.958333,1,0] precision 0.916408 [0.972222,0.857143,1,0,0.916667,0.818182,0] precision 0.979027 [0.972973,1,1,1,0.956522,1,0] precision 0.947193 [0.971429,1,0.933333,1,0.913043,0.916667,0] precision 0.916388 [0.897436,1,1,1,0.909091,0.818182,0] precision 0.971154 [1,1,1,1,0.884615,1,0] precision 0.884757 [0.9375,1,0.846154,1,0.821429,0.818182,0] precision 0.906557 [0.970588,1,0.875,0,0.913043,0.846154,0] precision 0.969949 [0.971429,1,0.882353,1,1,1,0] precision 0.959436 [0.945946,1,1,1,0.92,1,0] precision 0.930901 [0.942857,1,1,1,0.913043,0.785714,0] precision 0.924842 [0.897436,1,1,1,0.909091,0.888889,0] precision 0.925893 [0.944444,1,0.928571,1,0.913043,0.833333,0] precision 0.907715 [0.878049,1,0.933333,1,0.95,0.818182,0] precision 0.939963 [0.945946,1,0.9375,1,0.88,1,0] precision 0.968297 [0.971429,1,1,1,0.956522,0.916667,0] precision 0.969656 [1,1,1,1,0.958333,0.833333,0] precision 0.871468 [0.868421,0.833333,0.916667,1,0.863636,0.833333,0] precision 0.886134 [0.916667,1,0.923077,0.666667,0.846154,0.8,0] precision 0.94999 [0.894737,1,1,1,1,0.916667,0] precision 0.886769 [0.864865,1,0.8125,1,0.875,1,0] precision 0.951356 [0.945946,1,1,0.666667,0.954545,0.916667,0] precision 0.944076 [0.96875,1,1,0.666667,0.846154,1,0] precision 0.942935 [1,1,1,0.666667,0.875,0.833333,0] precision 0.900582 [0.939394,1,1,1,0.857143,0.647059,0] predictive_accuracy 0.892473 predictive_accuracy 0.946237 predictive_accuracy 0.935484 predictive_accuracy 0.903226 predictive_accuracy 0.903226 predictive_accuracy 0.956989 predictive_accuracy 0.892473 predictive_accuracy 0.956989 predictive_accuracy 0.892473 predictive_accuracy 0.924731 predictive_accuracy 0.924731 predictive_accuracy 0.924731 predictive_accuracy 0.967742 predictive_accuracy 0.892473 predictive_accuracy 0.956989 predictive_accuracy 0.935484 predictive_accuracy 0.946237 predictive_accuracy 0.892473 predictive_accuracy 0.935484 predictive_accuracy 0.903226 predictive_accuracy 0.935484 predictive_accuracy 0.903226 predictive_accuracy 0.935484 predictive_accuracy 0.913978 predictive_accuracy 0.924731 predictive_accuracy 0.913978 predictive_accuracy 0.924731 predictive_accuracy 0.946237 predictive_accuracy 0.935484 predictive_accuracy 0.924731 predictive_accuracy 0.924731 predictive_accuracy 0.956989 predictive_accuracy 0.913978 predictive_accuracy 0.903226 predictive_accuracy 0.956989 predictive_accuracy 0.935484 predictive_accuracy 0.935484 predictive_accuracy 0.946237 predictive_accuracy 0.903226 predictive_accuracy 0.903226 predictive_accuracy 0.903226 predictive_accuracy 0.903226 predictive_accuracy 0.935484 predictive_accuracy 0.913978 predictive_accuracy 0.892473 predictive_accuracy 0.924731 predictive_accuracy 0.903226 predictive_accuracy 0.935484 predictive_accuracy 0.924731 predictive_accuracy 0.913978 predictive_accuracy 0.913978 predictive_accuracy 0.956989 predictive_accuracy 0.903226 predictive_accuracy 0.913978 predictive_accuracy 0.913978 predictive_accuracy 0.946237 predictive_accuracy 0.903226 predictive_accuracy 0.956989 predictive_accuracy 0.913978 predictive_accuracy 0.946237 predictive_accuracy 0.946237 predictive_accuracy 0.946237 predictive_accuracy 0.903226 predictive_accuracy 0.946237 predictive_accuracy 0.913978 predictive_accuracy 0.88172 predictive_accuracy 0.892473 predictive_accuracy 0.903226 predictive_accuracy 0.956989 predictive_accuracy 0.935484 predictive_accuracy 0.891304 predictive_accuracy 0.956522 predictive_accuracy 0.902174 predictive_accuracy 0.913043 predictive_accuracy 0.913043 predictive_accuracy 0.98913 predictive_accuracy 0.934783 predictive_accuracy 0.978261 predictive_accuracy 0.945652 predictive_accuracy 0.913043 predictive_accuracy 0.967391 predictive_accuracy 0.880435 predictive_accuracy 0.923913 predictive_accuracy 0.967391 predictive_accuracy 0.956522 predictive_accuracy 0.923913 predictive_accuracy 0.923913 predictive_accuracy 0.923913 predictive_accuracy 0.902174 predictive_accuracy 0.934783 predictive_accuracy 0.967391 predictive_accuracy 0.967391 predictive_accuracy 0.869565 predictive_accuracy 0.880435 predictive_accuracy 0.945652 predictive_accuracy 0.880435 predictive_accuracy 0.945652 predictive_accuracy 0.923913 predictive_accuracy 0.934783 predictive_accuracy 0.880435 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 prior_entropy 2.239341 recall 0.892473 [0.916667,0.833333,1,0,0.869565,0.909091,0] recall 0.946237 [0.944444,0.666667,1,1,0.956522,1,0] recall 0.935484 [0.914286,1,1,1,0.909091,0.916667,0] recall 0.903226 [0.972222,0.833333,0.866667,1,0.863636,0.909091,0] recall 0.903226 [0.888889,0.833333,1,1,0.956522,0.727273,0] recall 0.956989 [0.971429,1,1,0,1,0.909091,0] recall 0.892473 [0.914286,0.714286,1,1,0.956522,0.636364,0] recall 0.956989 [1,1,1,0.5,0.869565,1,0] recall 0.892473 [0.971429,0.857143,0.933333,0.5,0.913043,0.636364,0] recall 0.924731 [0.942857,1,0.933333,0.666667,1,0.727273,0] recall 0.924731 [0.972222,1,0.933333,1,0.913043,0.727273,0] recall 0.924731 [0.944444,0.833333,0.933333,0.5,1,0.818182,0] recall 0.967742 [0.944444,1,1,1,1,0.909091,0] recall 0.892473 [0.944444,1,0.8,1,0.863636,0.909091,0] recall 0.956989 [0.972222,1,0.933333,0.666667,0.954545,1,0] recall 0.935484 [0.972222,0.857143,1,1,0.954545,0.727273,0] recall 0.946237 [0.914286,1,1,0.5,1,0.909091,0] recall 0.892473 [0.885714,0.714286,0.933333,1,0.956522,0.818182,0] recall 0.935484 [1,1,0.866667,1,1,0.636364,0] recall 0.903226 [1,0.833333,0.933333,0.5,0.826087,0.833333,0] recall 0.935484 [0.971429,1,1,0.5,0.869565,0.909091,0] recall 0.903226 [0.942857,0.714286,0.9375,1,1,0.636364,0] recall 0.935484 [0.944444,1,0.933333,1,0.909091,0.909091,0] recall 0.913978 [0.971429,1,0.875,0,1,0.75,0] recall 0.924731 [0.942857,0.857143,1,1,0.863636,0.909091,0] recall 0.913978 [0.944444,0.714286,0.933333,1,0.909091,0.909091,0] recall 0.924731 [0.942857,1,0.933333,0.5,0.913043,0.909091,0] recall 0.946237 [0.971429,1,0.933333,1,1,0.727273,0] recall 0.935484 [0.914286,1,0.933333,1,0.956522,0.909091,0] recall 0.924731 [0.942857,1,0.866667,0.5,0.956522,0.909091,0] recall 0.924731 [0.942857,1,1,0.5,0.869565,0.916667,0] recall 0.956989 [1,0.714286,1,0.666667,0.954545,1,0] recall 0.913978 [0.971429,0.857143,0.866667,1,0.913043,0.818182,0] recall 0.903226 [0.914286,1,0.866667,0.666667,0.913043,0.909091,0] recall 0.956989 [1,1,0.933333,1,0.954545,0.833333,0] recall 0.935484 [0.971429,1,1,0,0.869565,1,0] recall 0.935484 [0.971429,0.833333,1,0.5,0.913043,0.916667,0] recall 0.946237 [1,1,1,1,0.956522,0.636364,0] recall 0.903226 [0.914286,1,1,0.5,0.826087,0.916667,0] recall 0.903226 [0.942857,0.714286,0.933333,0.5,0.956522,0.818182,0] recall 0.903226 [0.971429,0.857143,0.933333,0.333333,0.954545,0.727273,0] recall 0.903226 [1,0.857143,0.866667,0,0.863636,0.916667,0] recall 0.935484 [0.942857,0.857143,1,0.5,1,0.818182,0] recall 0.913978 [0.971429,1,0.933333,1,0.826087,0.818182,0] recall 0.892473 [0.914286,1,1,0.5,0.913043,0.636364,0] recall 0.924731 [1,1,1,0.666667,0.826087,0.818182,0] recall 0.903226 [0.942857,0.833333,1,0.666667,0.869565,0.818182,0] recall 0.935484 [0.914286,1,0.933333,0.333333,1,1,0] recall 0.924731 [0.942857,1,0.933333,0.666667,0.913043,0.909091,0] recall 0.913978 [0.942857,1,0.933333,0.5,0.869565,0.909091,0] recall 0.913978 [0.885714,1,0.866667,1,0.954545,1,0] recall 0.956989 [1,1,1,1,0.956522,0.818182,0] recall 0.903226 [0.914286,0.666667,1,1,0.913043,0.909091,0] recall 0.913978 [0.914286,1,1,1,0.826087,0.909091,0] recall 0.913978 [0.971429,1,0.866667,0,1,0.818182,0] recall 0.946237 [0.971429,1,1,1,0.956522,0.818182,0] recall 0.903226 [0.971429,0.833333,0.933333,0,0.913043,0.909091,0] recall 0.956989 [1,0.833333,1,0.5,0.956522,1,0] recall 0.913978 [0.971429,0.666667,0.933333,1,1,0.727273,0] recall 0.946237 [1,1,1,1,0.869565,0.909091,0] recall 0.946237 [1,0.714286,1,0.5,0.954545,1,0] recall 0.946237 [1,1,0.866667,1,0.956522,0.909091,0] recall 0.903226 [0.971429,1,0.866667,1,0.913043,0.727273,0] recall 0.946237 [1,1,0.866667,0.5,0.956522,0.909091,0] recall 0.913978 [0.914286,1,0.933333,0.5,0.956522,0.909091,0] recall 0.88172 [0.971429,0.666667,0.866667,0.5,0.826087,1,0] recall 0.892473 [0.971429,0.833333,1,1,0.826087,0.727273,0] recall 0.903226 [0.914286,0.833333,1,1,0.913043,0.818182,0] recall 0.956989 [0.971429,0.833333,1,0.5,1,1,0] recall 0.935484 [0.971429,0.666667,1,0.5,1,0.909091,0] recall 0.891304 [0.914286,0.833333,1,0,0.913043,0.818182,0] recall 0.956522 [0.971429,1,1,0.5,0.956522,0.909091,0] recall 0.902174 [0.971429,1,1,0.5,0.826087,0.727273,0] recall 0.913043 [0.942857,0.5,1,0.5,0.956522,0.909091,0] recall 0.913043 [0.942857,0.833333,1,0.5,0.826087,1,0] recall 0.98913 [1,1,1,1,1,0.909091,0] recall 0.934783 [0.972222,1,0.933333,0,1,0.818182,0] recall 0.978261 [1,1,1,0.5,1,0.909091,0] recall 0.945652 [0.944444,0.833333,0.933333,1,0.954545,1,0] recall 0.913043 [0.972222,0.833333,0.933333,0.5,0.909091,0.818182,0] recall 0.967391 [0.971429,1,0.933333,1,1,0.909091,0] recall 0.880435 [0.857143,1,0.733333,1,1,0.818182,0] recall 0.923913 [0.942857,1,0.933333,0,0.913043,1,0] recall 0.967391 [0.971429,1,1,1,0.913043,1,0] recall 0.956522 [1,1,0.733333,1,1,1,0] recall 0.923913 [0.942857,0.833333,0.933333,0.5,0.913043,1,0] recall 0.923913 [0.972222,1,0.933333,1,0.909091,0.727273,0] recall 0.923913 [0.944444,1,0.866667,0.5,0.954545,0.909091,0] recall 0.902174 [1,0.666667,0.933333,0.5,0.863636,0.818182,0] recall 0.934783 [0.972222,0.833333,1,1,1,0.636364,0] recall 0.967391 [0.971429,1,0.933333,1,0.956522,1,0] recall 0.967391 [0.971429,1,1,0.5,1,0.909091,0] recall 0.869565 [0.942857,0.833333,0.733333,1,0.826087,0.909091,0] recall 0.880435 [0.942857,0.666667,0.8,1,0.956522,0.727273,0] recall 0.945652 [0.971429,0.833333,1,1,0.869565,1,0] recall 0.880435 [0.914286,0.666667,0.866667,1,0.913043,0.818182,0] recall 0.945652 [1,1,0.75,1,0.954545,1,0] recall 0.923913 [0.885714,1,0.875,1,1,0.909091,0] recall 0.934783 [0.942857,1,0.875,1,0.954545,0.909091,0] recall 0.880435 [0.885714,1,0.875,0.5,0.818182,1,0] relative_absolute_error 0.143759 relative_absolute_error 0.071879 relative_absolute_error 0.085666 relative_absolute_error 0.128936 relative_absolute_error 0.129383 relative_absolute_error 0.057182 relative_absolute_error 0.143122 relative_absolute_error 0.057291 relative_absolute_error 0.143122 relative_absolute_error 0.100121 relative_absolute_error 0.100631 relative_absolute_error 0.100631 relative_absolute_error 0.043077 relative_absolute_error 0.143263 relative_absolute_error 0.057322 relative_absolute_error 0.086038 relative_absolute_error 0.071561 relative_absolute_error 0.143122 relative_absolute_error 0.085873 relative_absolute_error 0.128905 relative_absolute_error 0.085989 relative_absolute_error 0.12866 relative_absolute_error 0.086038 relative_absolute_error 0.114449 relative_absolute_error 0.100069 relative_absolute_error 0.114717 relative_absolute_error 0.100185 relative_absolute_error 0.071561 relative_absolute_error 0.085873 relative_absolute_error 0.100185 relative_absolute_error 0.100259 relative_absolute_error 0.057069 relative_absolute_error 0.114498 relative_absolute_error 0.128727 relative_absolute_error 0.057147 relative_absolute_error 0.085936 relative_absolute_error 0.085936 relative_absolute_error 0.071561 relative_absolute_error 0.128905 relative_absolute_error 0.12881 relative_absolute_error 0.128404 relative_absolute_error 0.128581 relative_absolute_error 0.085873 relative_absolute_error 0.114498 relative_absolute_error 0.143122 relative_absolute_error 0.100121 relative_absolute_error 0.128727 relative_absolute_error 0.085818 relative_absolute_error 0.100121 relative_absolute_error 0.114498 relative_absolute_error 0.114104 relative_absolute_error 0.057195 relative_absolute_error 0.12869 relative_absolute_error 0.114498 relative_absolute_error 0.114391 relative_absolute_error 0.071494 relative_absolute_error 0.12869 relative_absolute_error 0.057195 relative_absolute_error 0.114391 relative_absolute_error 0.071494 relative_absolute_error 0.071315 relative_absolute_error 0.071494 relative_absolute_error 0.12869 relative_absolute_error 0.071561 relative_absolute_error 0.114391 relative_absolute_error 0.157287 relative_absolute_error 0.142988 relative_absolute_error 0.12869 relative_absolute_error 0.057195 relative_absolute_error 0.085793 relative_absolute_error 0.145056 relative_absolute_error 0.058022 relative_absolute_error 0.13055 relative_absolute_error 0.116045 relative_absolute_error 0.116045 relative_absolute_error 0.014506 relative_absolute_error 0.087203 relative_absolute_error 0.029068 relative_absolute_error 0.072669 relative_absolute_error 0.11627 relative_absolute_error 0.043517 relative_absolute_error 0.159561 relative_absolute_error 0.101539 relative_absolute_error 0.043517 relative_absolute_error 0.058022 relative_absolute_error 0.101539 relative_absolute_error 0.101737 relative_absolute_error 0.101737 relative_absolute_error 0.130804 relative_absolute_error 0.087203 relative_absolute_error 0.043517 relative_absolute_error 0.043517 relative_absolute_error 0.174067 relative_absolute_error 0.159561 relative_absolute_error 0.072528 relative_absolute_error 0.159561 relative_absolute_error 0.072442 relative_absolute_error 0.101419 relative_absolute_error 0.086931 relative_absolute_error 0.159373 root_mean_prior_squared_error 0.326123 root_mean_prior_squared_error 0.326123 root_mean_prior_squared_error 0.328369 root_mean_prior_squared_error 0.327256 root_mean_prior_squared_error 0.326123 root_mean_prior_squared_error 0.327958 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327336 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327788 root_mean_prior_squared_error 0.326123 root_mean_prior_squared_error 0.326123 root_mean_prior_squared_error 0.326506 root_mean_prior_squared_error 0.327256 root_mean_prior_squared_error 0.32716 root_mean_prior_squared_error 0.326949 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327336 root_mean_prior_squared_error 0.327135 root_mean_prior_squared_error 0.327958 root_mean_prior_squared_error 0.326949 root_mean_prior_squared_error 0.327718 root_mean_prior_squared_error 0.327958 root_mean_prior_squared_error 0.326949 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327336 root_mean_prior_squared_error 0.32861 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327788 root_mean_prior_squared_error 0.328159 root_mean_prior_squared_error 0.327336 root_mean_prior_squared_error 0.327336 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327336 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.32861 root_mean_prior_squared_error 0.328159 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327788 root_mean_prior_squared_error 0.327788 root_mean_prior_squared_error 0.327788 root_mean_prior_squared_error 0.327788 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.328705 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.328705 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327577 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.327883 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326085 root_mean_prior_squared_error 0.326085 root_mean_prior_squared_error 0.326085 root_mean_prior_squared_error 0.326085 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326085 root_mean_prior_squared_error 0.326085 root_mean_prior_squared_error 0.326085 root_mean_prior_squared_error 0.326085 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.326722 root_mean_prior_squared_error 0.327108 root_mean_prior_squared_error 0.327108 root_mean_prior_squared_error 0.327108 root_mean_prior_squared_error 0.327108 root_mean_squared_error 0.175277 root_mean_squared_error 0.123939 root_mean_squared_error 0.135769 root_mean_squared_error 0.166282 root_mean_squared_error 0.166282 root_mean_squared_error 0.110855 root_mean_squared_error 0.175277 root_mean_squared_error 0.110855 root_mean_squared_error 0.175277 root_mean_squared_error 0.146647 root_mean_squared_error 0.146647 root_mean_squared_error 0.146647 root_mean_squared_error 0.096003 root_mean_squared_error 0.175277 root_mean_squared_error 0.110855 root_mean_squared_error 0.135769 root_mean_squared_error 0.123939 root_mean_squared_error 0.175277 root_mean_squared_error 0.135769 root_mean_squared_error 0.166282 root_mean_squared_error 0.135769 root_mean_squared_error 0.166282 root_mean_squared_error 0.135769 root_mean_squared_error 0.156772 root_mean_squared_error 0.146647 root_mean_squared_error 0.156772 root_mean_squared_error 0.146647 root_mean_squared_error 0.123939 root_mean_squared_error 0.135769 root_mean_squared_error 0.146647 root_mean_squared_error 0.146647 root_mean_squared_error 0.110855 root_mean_squared_error 0.156772 root_mean_squared_error 0.166282 root_mean_squared_error 0.110855 root_mean_squared_error 0.135769 root_mean_squared_error 0.135769 root_mean_squared_error 0.123939 root_mean_squared_error 0.166282 root_mean_squared_error 0.166282 root_mean_squared_error 0.166282 root_mean_squared_error 0.166282 root_mean_squared_error 0.135769 root_mean_squared_error 0.156772 root_mean_squared_error 0.175277 root_mean_squared_error 0.146647 root_mean_squared_error 0.166282 root_mean_squared_error 0.135769 root_mean_squared_error 0.146647 root_mean_squared_error 0.156772 root_mean_squared_error 0.156772 root_mean_squared_error 0.110855 root_mean_squared_error 0.166282 root_mean_squared_error 0.156772 root_mean_squared_error 0.156772 root_mean_squared_error 0.123939 root_mean_squared_error 0.166282 root_mean_squared_error 0.110855 root_mean_squared_error 0.156772 root_mean_squared_error 0.123939 root_mean_squared_error 0.123939 root_mean_squared_error 0.123939 root_mean_squared_error 0.166282 root_mean_squared_error 0.123939 root_mean_squared_error 0.156772 root_mean_squared_error 0.183832 root_mean_squared_error 0.175277 root_mean_squared_error 0.166282 root_mean_squared_error 0.110855 root_mean_squared_error 0.135769 root_mean_squared_error 0.176227 root_mean_squared_error 0.111456 root_mean_squared_error 0.167183 root_mean_squared_error 0.157622 root_mean_squared_error 0.157622 root_mean_squared_error 0.055728 root_mean_squared_error 0.136505 root_mean_squared_error 0.078811 root_mean_squared_error 0.124611 root_mean_squared_error 0.157622 root_mean_squared_error 0.096523 root_mean_squared_error 0.184828 root_mean_squared_error 0.147442 root_mean_squared_error 0.096523 root_mean_squared_error 0.111456 root_mean_squared_error 0.147442 root_mean_squared_error 0.147442 root_mean_squared_error 0.147442 root_mean_squared_error 0.167183 root_mean_squared_error 0.136505 root_mean_squared_error 0.096523 root_mean_squared_error 0.096523 root_mean_squared_error 0.193047 root_mean_squared_error 0.184828 root_mean_squared_error 0.124611 root_mean_squared_error 0.184828 root_mean_squared_error 0.124611 root_mean_squared_error 0.147442 root_mean_squared_error 0.136505 root_mean_squared_error 0.184828 root_relative_squared_error 0.537456 root_relative_squared_error 0.380039 root_relative_squared_error 0.413464 root_relative_squared_error 0.508111 root_relative_squared_error 0.509876 root_relative_squared_error 0.338015 root_relative_squared_error 0.535071 root_relative_squared_error 0.338658 root_relative_squared_error 0.535071 root_relative_squared_error 0.447384 root_relative_squared_error 0.449668 root_relative_squared_error 0.449668 root_relative_squared_error 0.294032 root_relative_squared_error 0.535596 root_relative_squared_error 0.33884 root_relative_squared_error 0.41526 root_relative_squared_error 0.378352 root_relative_squared_error 0.535071 root_relative_squared_error 0.414464 root_relative_squared_error 0.507986 root_relative_squared_error 0.415024 root_relative_squared_error 0.507022 root_relative_squared_error 0.41526 root_relative_squared_error 0.478376 root_relative_squared_error 0.447152 root_relative_squared_error 0.479501 root_relative_squared_error 0.447672 root_relative_squared_error 0.378352 root_relative_squared_error 0.414464 root_relative_squared_error 0.447672 root_relative_squared_error 0.448002 root_relative_squared_error 0.337345 root_relative_squared_error 0.478582 root_relative_squared_error 0.507286 root_relative_squared_error 0.337808 root_relative_squared_error 0.414769 root_relative_squared_error 0.414769 root_relative_squared_error 0.378352 root_relative_squared_error 0.507986 root_relative_squared_error 0.507612 root_relative_squared_error 0.506017 root_relative_squared_error 0.506712 root_relative_squared_error 0.414464 root_relative_squared_error 0.478582 root_relative_squared_error 0.535071 root_relative_squared_error 0.447384 root_relative_squared_error 0.507286 root_relative_squared_error 0.414197 root_relative_squared_error 0.447384 root_relative_squared_error 0.478582 root_relative_squared_error 0.47694 root_relative_squared_error 0.338092 root_relative_squared_error 0.507139 root_relative_squared_error 0.478582 root_relative_squared_error 0.478135 root_relative_squared_error 0.377999 root_relative_squared_error 0.507139 root_relative_squared_error 0.338092 root_relative_squared_error 0.478135 root_relative_squared_error 0.377999 root_relative_squared_error 0.377054 root_relative_squared_error 0.377999 root_relative_squared_error 0.507139 root_relative_squared_error 0.378352 root_relative_squared_error 0.478135 root_relative_squared_error 0.560663 root_relative_squared_error 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