366024 2 Joaquin Vanschoren 4654 Supervised Classification predictive_accuracy 1080 weka.NBTree(3) 1850 weka.classifiers.trees.NBTree weka weka_3.7.12 1115 teachingAssistant https://www.openml.org/data/download/53998/teachingAssistant.arff -1 1268153 description https://api.openml.org/data/download/1268153/weka_generated_run3309966226588386668.xml -1 1268156 model_readable https://api.openml.org/data/download/1268156/WekaModel_weka.classifiers.trees.NBTree3796555704442406369.model -1 1268155 model_serialized https://api.openml.org/data/download/1268155/WekaSerialized_weka.classifiers.trees.NBTree6715192746449586493.model -1 1268154 predictions https://api.openml.org/data/download/1268154/weka_generated_predictions5517102955777430748.arff area_under_roc_curve 0.947364 [0.950359,0.944575,0.947222] average_cost 0 f_measure 0.861715 [0.871413,0.854527,0.859489] kappa 0.792114 kb_relative_information_score 1061.641516 mean_absolute_error 0.159971 mean_prior_absolute_error 0.444311 number_of_instances 1510 [490,500,520] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.864533 [0.909091,0.869565,0.817708] predictive_accuracy 0.861589 prior_entropy 1.584538 recall 0.861589 [0.836735,0.84,0.905769] relative_absolute_error 0.360043 root_mean_prior_squared_error 0.471332 root_mean_squared_error 0.27347 root_relative_squared_error 0.580206 scimark_benchmark 1331.795299 [672.1543817994253, 1019.0137360965384, 524.8004995102859, 1077.0090318677676, 3365.9988441781206] total_cost 0 usercpu_time_millis 60 usercpu_time_millis_testing 0 usercpu_time_millis_training 60 area_under_roc_curve 0.97017 [1,0.954545,0.958333] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.909659 [1,0.890909,0.85] area_under_roc_curve 0.897159 [0.872727,0.818182,0.983333] area_under_roc_curve 0.886932 [0.890909,0.927273,0.85] area_under_roc_curve 0.9375 [0.854545,0.945455,1] area_under_roc_curve 0.872727 [0.763636,0.909091,0.933333] area_under_roc_curve 0.864205 [0.927273,0.818182,0.85] area_under_roc_curve 0.964205 [1,0.945455,0.95] area_under_roc_curve 0.964773 [1,0.927273,0.966667] area_under_roc_curve 0.88 [0.82,0.86,0.96] area_under_roc_curve 0.965657 [0.954545,1,0.944444] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.881212 [0.954545,0.88,0.833333] area_under_roc_curve 0.980471 [0.954545,1,0.981481] area_under_roc_curve 0.873333 [0.86,0.98,0.78] area_under_roc_curve 0.993939 [0.977273,1,1] area_under_roc_curve 0.873333 [1,0.7,0.92] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.903973 [0.795455,0.92,0.962963] area_under_roc_curve 0.98 [0.96,1,0.98] area_under_roc_curve 0.92 [0.86,0.94,0.96] area_under_roc_curve 0.893333 [1,0.88,0.8] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 0.913333 [0.92,1,0.82] area_under_roc_curve 0.793333 [0.82,0.73,0.83] area_under_roc_curve 0.933333 [0.94,0.98,0.88] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.893333 [0.96,0.86,0.86] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.853333 [0.92,0.78,0.86] area_under_roc_curve 0.806667 [0.9,0.74,0.78] area_under_roc_curve 0.9 [0.88,0.86,0.96] area_under_roc_curve 0.993333 [1,1,0.98] area_under_roc_curve 0.92 [0.98,0.86,0.92] area_under_roc_curve 0.906667 [1,0.8,0.92] area_under_roc_curve 0.946667 [0.92,0.98,0.94] area_under_roc_curve 0.966667 [0.94,0.96,1] area_under_roc_curve 0.94 [0.92,1,0.9] area_under_roc_curve 0.986667 [1,0.96,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9 [1,0.8,0.9] area_under_roc_curve 0.98 [1,0.98,0.96] area_under_roc_curve 0.966667 [0.91,0.99,1] area_under_roc_curve 0.9 [1,0.84,0.86] area_under_roc_curve 0.966667 [0.96,0.98,0.96] area_under_roc_curve 0.906667 [1,0.9,0.82] area_under_roc_curve 0.973333 [0.94,0.98,1] area_under_roc_curve 0.966667 [1,0.96,0.94] area_under_roc_curve 0.9 [0.88,0.9,0.92] area_under_roc_curve 0.913333 [0.98,0.84,0.92] area_under_roc_curve 0.953333 [1,0.88,0.98] area_under_roc_curve 0.993333 [1,1,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.966667 [0.96,0.96,0.98] area_under_roc_curve 0.98 [0.96,0.98,1] area_under_roc_curve 0.993333 [1,1,0.98] area_under_roc_curve 0.933333 [0.94,0.98,0.88] area_under_roc_curve 0.946667 [0.93,0.91,1] area_under_roc_curve 0.893333 [1,0.9,0.78] area_under_roc_curve 0.966667 [1,0.94,0.96] area_under_roc_curve 0.986667 [0.96,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.853333 [0.9,0.82,0.84] area_under_roc_curve 0.946667 [0.96,0.92,0.96] area_under_roc_curve 0.94 [0.9,0.92,1] area_under_roc_curve 0.993333 [0.98,1,1] area_under_roc_curve 0.953333 [0.96,0.94,0.96] area_under_roc_curve 0.98 [1,0.96,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.946667 [0.94,0.98,0.92] area_under_roc_curve 0.906667 [0.88,0.96,0.88] area_under_roc_curve 0.926667 [0.93,0.89,0.96] area_under_roc_curve 0.913333 [0.88,1,0.86] area_under_roc_curve 0.953333 [1,0.86,1] area_under_roc_curve 0.9 [0.82,0.92,0.96] area_under_roc_curve 0.953333 [0.96,0.96,0.94] area_under_roc_curve 0.98 [1,0.98,0.96] area_under_roc_curve 0.9 [0.84,0.9,0.96] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.946667 [0.9,0.94,1] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 0.96 [0.96,1,0.92] area_under_roc_curve 0.986667 [1,0.96,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.966667 [0.94,1,0.96] area_under_roc_curve 0.886667 [0.84,0.86,0.96] area_under_roc_curve 0.98 [0.98,1,0.96] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.993939 [0.977273,1,1] area_under_roc_curve 0.946667 [0.94,0.9,1] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 0.993939 [0.977273,1,1] area_under_roc_curve 0.78 [0.66,0.9,0.78] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.86462 [0.909091,0.75,0.923077] f_measure 0.936432 [0.888889,1,0.923077] f_measure 0.875 [1,0.8,0.833333] f_measure 0.818182 [0.8,0.727273,0.909091] f_measure 0.669362 [0.5,0.769231,0.727273] f_measure 0.879104 [0.888889,0.833333,0.909091] f_measure 0.727679 [0.5,0.8,0.857143] f_measure 0.806818 [0.909091,0.8,0.727273] f_measure 0.875 [1,0.8,0.833333] f_measure 0.868304 [1,0.75,0.857143] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 0.934007 [0.888889,1,0.909091] f_measure 0.934007 [0.888889,1,0.909091] f_measure 0.794729 [0.888889,0.75,0.769231] f_measure 0.931136 [0.857143,1,0.923077] f_measure 0.79798 [0.666667,1,0.727273] f_measure 0.792857 [0.75,0.75,0.857143] f_measure 0.79798 [1,0.666667,0.727273] f_measure 0.93266 [0.909091,0.888889,1] f_measure 0.8 [0.75,0.8,0.833333] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.796296 [0.666667,0.833333,0.888889] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 1 [1,1,1] f_measure 0.856061 [0.909091,0.75,0.909091] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.79798 [0.727273,1,0.666667] f_measure 0.731313 [0.8,0.666667,0.727273] f_measure 0.87037 [0.833333,0.888889,0.888889] f_measure 1 [1,1,1] f_measure 0.795455 [0.909091,0.75,0.727273] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 0.771284 [0.571429,0.909091,0.833333] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.796296 [0.888889,0.666667,0.833333] f_measure 0.666667 [0.666667,0.666667,0.666667] f_measure 0.805387 [0.888889,0.727273,0.8] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.713553 [0.8,0.571429,0.769231] f_measure 0.79798 [1,0.666667,0.727273] f_measure 0.794444 [0.75,0.833333,0.8] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.93266 [0.888889,0.909091,1] f_measure 1 [1,1,1] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.856061 [0.75,0.909091,0.909091] f_measure 0.78022 [1,0.571429,0.769231] f_measure 0.728632 [0.75,0.769231,0.666667] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.865993 [0.8,0.909091,0.888889] f_measure 0.861111 [1,0.75,0.833333] f_measure 0.651515 [0.5,0.727273,0.727273] f_measure 0.802707 [0.888889,0.75,0.769231] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.861111 [1,0.75,0.833333] f_measure 1 [1,1,1] f_measure 0.805387 [0.888889,0.727273,0.8] f_measure 0.791919 [0.666667,0.8,0.909091] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.802707 [0.888889,0.75,0.769231] f_measure 0.856061 [0.75,0.909091,0.909091] f_measure 0.722222 [0.833333,0.666667,0.666667] f_measure 0.865993 [0.909091,0.888889,0.8] f_measure 0.93266 [0.909091,1,0.888889] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.740741 [0.888889,0.666667,0.666667] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 0.865993 [0.8,0.888889,0.909091] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.802707 [0.75,0.888889,0.769231] f_measure 0.866667 [1,0.8,0.8] f_measure 1 [1,1,1] f_measure 0.865993 [0.8,0.909091,0.888889] f_measure 0.805387 [0.8,0.888889,0.727273] f_measure 0.794444 [0.75,0.8,0.833333] f_measure 0.791919 [0.666667,0.909091,0.8] f_measure 0.719373 [0.888889,0.5,0.769231] f_measure 0.865993 [0.8,0.909091,0.888889] f_measure 0.87037 [0.888889,0.888889,0.833333] f_measure 0.865993 [0.909091,0.888889,0.8] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.93266 [0.888889,0.909091,1] f_measure 0.794444 [0.75,0.8,0.833333] f_measure 0.866667 [0.8,1,0.8] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.931602 [0.857143,0.909091,1] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.796296 [0.888889,0.666667,0.833333] f_measure 0.93266 [0.888889,1,0.909091] f_measure 1 [1,1,1] f_measure 0.869986 [0.857143,0.833333,0.909091] f_measure 0.93266 [0.909091,0.888889,1] f_measure 0.931602 [0.857143,0.909091,1] f_measure 0.931602 [0.857143,0.909091,1] f_measure 0.655556 [0.5,0.8,0.666667] kappa 0.810651 kappa 0.905325 kappa 0.811765 kappa 0.719298 kappa 0.532164 kappa 0.812865 kappa 0.619048 kappa 0.719298 kappa 0.811765 kappa 0.809524 kappa 0.8 kappa 0.9 kappa 0.9 kappa 0.695946 kappa 0.89726 kappa 0.7 kappa 0.691781 kappa 0.7 kappa 0.9 kappa 0.695946 kappa 0.9 kappa 0.7 kappa 0.8 kappa 1 kappa 0.8 kappa 0.9 kappa 0.7 kappa 0.6 kappa 0.8 kappa 1 kappa 0.7 kappa 0.8 kappa 0.7 kappa 0.9 kappa 0.7 kappa 0.5 kappa 0.7 kappa 0.9 kappa 0.6 kappa 0.7 kappa 0.7 kappa 0.8 kappa 0.9 kappa 0.9 kappa 1 kappa 0.8 kappa 0.9 kappa 0.8 kappa 0.7 kappa 0.6 kappa 0.9 kappa 0.8 kappa 0.8 kappa 0.5 kappa 0.7 kappa 0.9 kappa 0.8 kappa 1 kappa 0.7 kappa 0.7 kappa 0.9 kappa 0.7 kappa 0.8 kappa 0.6 kappa 0.8 kappa 0.9 kappa 1 kappa 1 kappa 0.9 kappa 0.6 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.7 kappa 0.8 kappa 1 kappa 0.8 kappa 0.7 kappa 0.7 kappa 0.7 kappa 0.6 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.9 kappa 0.7 kappa 0.8 kappa 0.9 kappa 0.897959 kappa 0.9 kappa 0.7 kappa 0.9 kappa 1 kappa 0.797297 kappa 0.9 kappa 0.897959 kappa 0.897959 kappa 0.5 kb_relative_information_score 10.522875 kb_relative_information_score 12.436246 kb_relative_information_score 10.601378 kb_relative_information_score 9.515218 kb_relative_information_score 8.976559 kb_relative_information_score 10.887046 kb_relative_information_score 9.005204 kb_relative_information_score 10.481968 kb_relative_information_score 11.89078 kb_relative_information_score 11.66255 kb_relative_information_score 10.119143 kb_relative_information_score 12.029423 kb_relative_information_score 11.330952 kb_relative_information_score 8.629905 kb_relative_information_score 11.885512 kb_relative_information_score 8.735234 kb_relative_information_score 11.249917 kb_relative_information_score 7.695274 kb_relative_information_score 11.312558 kb_relative_information_score 9.640316 kb_relative_information_score 12.153945 kb_relative_information_score 9.317137 kb_relative_information_score 10.089841 kb_relative_information_score 13.142245 kb_relative_information_score 10.528555 kb_relative_information_score 12.073626 kb_relative_information_score 9.884334 kb_relative_information_score 7.696697 kb_relative_information_score 10.837048 kb_relative_information_score 13.478586 kb_relative_information_score 9.724316 kb_relative_information_score 12.089401 kb_relative_information_score 10.676726 kb_relative_information_score 11.071887 kb_relative_information_score 8.777273 kb_relative_information_score 7.055524 kb_relative_information_score 8.625432 kb_relative_information_score 12.172599 kb_relative_information_score 9.062859 kb_relative_information_score 10.25482 kb_relative_information_score 9.825495 kb_relative_information_score 10.355418 kb_relative_information_score 11.599078 kb_relative_information_score 12.216507 kb_relative_information_score 12.533396 kb_relative_information_score 10.342753 kb_relative_information_score 11.77204 kb_relative_information_score 10.80057 kb_relative_information_score 9.976884 kb_relative_information_score 9.890083 kb_relative_information_score 11.418378 kb_relative_information_score 9.986512 kb_relative_information_score 10.441117 kb_relative_information_score 7.835303 kb_relative_information_score 9.660897 kb_relative_information_score 10.70834 kb_relative_information_score 11.214396 kb_relative_information_score 12.916471 kb_relative_information_score 10.219116 kb_relative_information_score 10.493795 kb_relative_information_score 11.909125 kb_relative_information_score 9.231289 kb_relative_information_score 10.770868 kb_relative_information_score 9.289686 kb_relative_information_score 10.786985 kb_relative_information_score 11.99934 kb_relative_information_score 12.143898 kb_relative_information_score 12.005254 kb_relative_information_score 11.998203 kb_relative_information_score 7.964896 kb_relative_information_score 9.644447 kb_relative_information_score 10.61395 kb_relative_information_score 11.882839 kb_relative_information_score 10.007761 kb_relative_information_score 11.516156 kb_relative_information_score 12.448383 kb_relative_information_score 10.689272 kb_relative_information_score 9.241628 kb_relative_information_score 9.417253 kb_relative_information_score 9.710996 kb_relative_information_score 9.329353 kb_relative_information_score 9.691525 kb_relative_information_score 10.341582 kb_relative_information_score 11.612211 kb_relative_information_score 11.078377 kb_relative_information_score 12.709318 kb_relative_information_score 11.644223 kb_relative_information_score 10.862984 kb_relative_information_score 10.1439 kb_relative_information_score 11.478148 kb_relative_information_score 12.54019 kb_relative_information_score 11.258396 kb_relative_information_score 9.987843 kb_relative_information_score 11.063357 kb_relative_information_score 12.681529 kb_relative_information_score 11.327159 kb_relative_information_score 11.338078 kb_relative_information_score 10.792988 kb_relative_information_score 10.613666 kb_relative_information_score 6.347 mean_absolute_error 0.188018 mean_absolute_error 0.123024 mean_absolute_error 0.188402 mean_absolute_error 0.213922 mean_absolute_error 0.220341 mean_absolute_error 0.175754 mean_absolute_error 0.220083 mean_absolute_error 0.184562 mean_absolute_error 0.139576 mean_absolute_error 0.143139 mean_absolute_error 0.177413 mean_absolute_error 0.111198 mean_absolute_error 0.132145 mean_absolute_error 0.217231 mean_absolute_error 0.112698 mean_absolute_error 0.221451 mean_absolute_error 0.125351 mean_absolute_error 0.251656 mean_absolute_error 0.137751 mean_absolute_error 0.184024 mean_absolute_error 0.109822 mean_absolute_error 0.197199 mean_absolute_error 0.18135 mean_absolute_error 0.080183 mean_absolute_error 0.166224 mean_absolute_error 0.116202 mean_absolute_error 0.186573 mean_absolute_error 0.248612 mean_absolute_error 0.152198 mean_absolute_error 0.067091 mean_absolute_error 0.183518 mean_absolute_error 0.104222 mean_absolute_error 0.153776 mean_absolute_error 0.143728 mean_absolute_error 0.217747 mean_absolute_error 0.270006 mean_absolute_error 0.221835 mean_absolute_error 0.109357 mean_absolute_error 0.199212 mean_absolute_error 0.168698 mean_absolute_error 0.178864 mean_absolute_error 0.167684 mean_absolute_error 0.132069 mean_absolute_error 0.102989 mean_absolute_error 0.107145 mean_absolute_error 0.168546 mean_absolute_error 0.122953 mean_absolute_error 0.151175 mean_absolute_error 0.176848 mean_absolute_error 0.176945 mean_absolute_error 0.13783 mean_absolute_error 0.176887 mean_absolute_error 0.157676 mean_absolute_error 0.233693 mean_absolute_error 0.183427 mean_absolute_error 0.165291 mean_absolute_error 0.139442 mean_absolute_error 0.085984 mean_absolute_error 0.163996 mean_absolute_error 0.162442 mean_absolute_error 0.119595 mean_absolute_error 0.197478 mean_absolute_error 0.153528 mean_absolute_error 0.1967 mean_absolute_error 0.149186 mean_absolute_error 0.117213 mean_absolute_error 0.112808 mean_absolute_error 0.113694 mean_absolute_error 0.118102 mean_absolute_error 0.241261 mean_absolute_error 0.193497 mean_absolute_error 0.165307 mean_absolute_error 0.117695 mean_absolute_error 0.17645 mean_absolute_error 0.130034 mean_absolute_error 0.105275 mean_absolute_error 0.152421 mean_absolute_error 0.202534 mean_absolute_error 0.192686 mean_absolute_error 0.19126 mean_absolute_error 0.188406 mean_absolute_error 0.187279 mean_absolute_error 0.164292 mean_absolute_error 0.118948 mean_absolute_error 0.140254 mean_absolute_error 0.085298 mean_absolute_error 0.12942 mean_absolute_error 0.143314 mean_absolute_error 0.170925 mean_absolute_error 0.138318 mean_absolute_error 0.091596 mean_absolute_error 0.14193 mean_absolute_error 0.178618 mean_absolute_error 0.148009 mean_absolute_error 0.098106 mean_absolute_error 0.127535 mean_absolute_error 0.135699 mean_absolute_error 0.157616 mean_absolute_error 0.162207 mean_absolute_error 0.292285 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] precision 0.894345 [0.833333,1,0.857143] precision 0.946429 [1,1,0.857143] precision 0.875 [1,0.8,0.833333] precision 0.833333 [0.8,0.666667,1] precision 0.703646 [0.666667,0.625,0.8] precision 0.910714 [1,0.714286,1] precision 0.739583 [0.666667,0.8,0.75] precision 0.810417 [0.833333,0.8,0.8] precision 0.875 [1,0.8,0.833333] precision 0.90625 [1,1,0.75] precision 0.877778 [1,0.8,0.833333] precision 0.946667 [0.8,1,1] precision 0.946667 [0.8,1,1] precision 0.832381 [0.8,1,0.714286] precision 0.942857 [1,1,0.857143] precision 0.805556 [0.75,1,0.666667] precision 0.833333 [0.75,1,0.75] precision 0.805556 [1,0.75,0.666667] precision 0.944444 [0.833333,1,1] precision 0.8 [0.75,0.8,0.833333] precision 0.944444 [1,1,0.833333] precision 0.821429 [0.75,0.714286,1] precision 0.904762 [1,0.714286,1] precision 1 [1,1,1] precision 0.888889 [0.833333,1,0.833333] precision 0.944444 [1,1,0.833333] precision 0.805556 [0.666667,1,0.75] precision 0.738889 [0.8,0.75,0.666667] precision 0.904762 [0.714286,1,1] precision 1 [1,1,1] precision 0.833333 [0.833333,1,0.666667] precision 0.877778 [1,0.8,0.833333] precision 0.849206 [1,0.833333,0.714286] precision 0.944444 [1,1,0.833333] precision 0.821429 [1,0.75,0.714286] precision 0.690476 [0.75,0.75,0.571429] precision 0.822222 [1,0.666667,0.8] precision 0.944444 [1,1,0.833333] precision 0.808333 [0.8,1,0.625] precision 0.805556 [1,0.75,0.666667] precision 0.838095 [1,0.714286,0.8] precision 0.904762 [1,0.714286,1] precision 0.944444 [0.833333,1,1] precision 0.944444 [1,0.833333,1] precision 1 [1,1,1] precision 0.877778 [1,0.8,0.833333] precision 0.944444 [1,1,0.833333] precision 0.888889 [1,0.833333,0.833333] precision 0.875 [1,1,0.625] precision 0.791667 [1,0.625,0.75] precision 0.944444 [1,0.833333,1] precision 0.877778 [0.8,0.833333,1] precision 0.904762 [1,1,0.714286] precision 0.666667 [0.666667,0.666667,0.666667] precision 0.875 [1,1,0.625] precision 0.944444 [1,1,0.833333] precision 0.904762 [1,1,0.714286] precision 1 [1,1,1] precision 0.822222 [1,0.666667,0.8] precision 0.794444 [0.75,0.8,0.833333] precision 0.944444 [0.833333,1,1] precision 0.875 [1,1,0.625] precision 0.888889 [1,0.833333,0.833333] precision 0.738095 [0.714286,0.75,0.75] precision 0.877778 [0.833333,1,0.8] precision 0.944444 [0.833333,1,1] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.944444 [0.833333,1,1] precision 0.77381 [1,0.75,0.571429] precision 0.877778 [1,0.8,0.833333] precision 0.877778 [0.8,1,0.833333] precision 0.944444 [1,1,0.833333] precision 0.875 [1,1,0.625] precision 0.866667 [1,0.8,0.8] precision 1 [1,1,1] precision 0.877778 [0.8,0.833333,1] precision 0.822222 [0.8,1,0.666667] precision 0.838095 [1,0.8,0.714286] precision 0.794444 [0.75,0.833333,0.8] precision 0.763889 [1,0.666667,0.625] precision 0.877778 [0.8,0.833333,1] precision 0.904762 [1,1,0.714286] precision 0.877778 [0.833333,1,0.8] precision 0.877778 [1,0.8,0.833333] precision 0.944444 [1,1,0.833333] precision 0.944444 [1,0.833333,1] precision 0.838095 [1,0.8,0.714286] precision 0.866667 [0.8,1,0.8] precision 0.944444 [1,1,0.833333] precision 0.944444 [1,0.833333,1] precision 0.944444 [1,1,0.833333] precision 0.821429 [1,0.75,0.714286] precision 0.944444 [1,1,0.833333] precision 1 [1,1,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [0.833333,1,1] precision 0.944444 [1,0.833333,1] precision 0.944444 [1,0.833333,1] precision 0.679365 [0.666667,0.8,0.571429] predictive_accuracy 0.875 predictive_accuracy 0.9375 predictive_accuracy 0.875 predictive_accuracy 0.8125 predictive_accuracy 0.6875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.8125 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.666667 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 recall 0.875 [1,0.6,1] recall 0.9375 [0.8,1,1] recall 0.875 [1,0.8,0.833333] recall 0.8125 [0.8,0.8,0.833333] recall 0.6875 [0.4,1,0.666667] recall 0.875 [0.8,1,0.833333] recall 0.75 [0.4,0.8,1] recall 0.8125 [1,0.8,0.666667] recall 0.875 [1,0.8,0.833333] recall 0.875 [1,0.6,1] recall 0.866667 [0.8,0.8,1] recall 0.933333 [1,1,0.833333] recall 0.933333 [1,1,0.833333] recall 0.8 [1,0.6,0.833333] recall 0.933333 [0.75,1,1] recall 0.8 [0.6,1,0.8] recall 0.8 [0.75,0.6,1] recall 0.8 [1,0.6,0.8] recall 0.933333 [1,0.8,1] recall 0.8 [0.75,0.8,0.833333] recall 0.933333 [0.8,1,1] recall 0.8 [0.6,1,0.8] recall 0.866667 [0.8,1,0.8] recall 1 [1,1,1] recall 0.866667 [1,0.6,1] recall 0.933333 [1,0.8,1] recall 0.8 [0.8,1,0.6] recall 0.733333 [0.8,0.6,0.8] recall 0.866667 [1,0.8,0.8] recall 1 [1,1,1] recall 0.8 [1,0.6,0.8] recall 0.866667 [0.8,0.8,1] recall 0.8 [0.4,1,1] recall 0.933333 [1,0.8,1] recall 0.8 [0.8,0.6,1] recall 0.666667 [0.6,0.6,0.8] recall 0.8 [0.8,0.8,0.8] recall 0.933333 [1,0.8,1] recall 0.733333 [0.8,0.4,1] recall 0.8 [1,0.6,0.8] recall 0.8 [0.6,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.933333 [1,1,0.8] recall 0.933333 [0.8,1,1] recall 1 [1,1,1] recall 0.866667 [0.8,0.8,1] recall 0.933333 [1,0.8,1] recall 0.866667 [0.6,1,1] recall 0.8 [1,0.4,1] recall 0.733333 [0.6,1,0.6] recall 0.933333 [1,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.866667 [1,0.6,1] recall 0.666667 [0.4,0.8,0.8] recall 0.8 [0.8,0.6,1] recall 0.933333 [1,0.8,1] recall 0.866667 [1,0.6,1] recall 1 [1,1,1] recall 0.8 [0.8,0.8,0.8] recall 0.8 [0.6,0.8,1] recall 0.933333 [1,1,0.8] recall 0.8 [0.8,0.6,1] recall 0.866667 [0.6,1,1] recall 0.733333 [1,0.6,0.6] recall 0.866667 [1,0.8,0.8] recall 0.933333 [1,1,0.8] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.933333 [1,1,0.8] recall 0.733333 [0.8,0.6,0.8] recall 0.866667 [0.8,0.8,1] recall 0.866667 [0.8,0.8,1] recall 0.933333 [0.8,1,1] recall 0.8 [0.6,0.8,1] recall 0.866667 [1,0.8,0.8] recall 1 [1,1,1] recall 0.866667 [0.8,1,0.8] recall 0.8 [0.8,0.8,0.8] recall 0.8 [0.6,0.8,1] recall 0.8 [0.6,1,0.8] recall 0.733333 [0.8,0.4,1] recall 0.866667 [0.8,1,0.8] recall 0.866667 [0.8,0.8,1] recall 0.866667 [1,0.8,0.8] recall 0.866667 [0.8,0.8,1] recall 0.933333 [1,0.8,1] recall 0.933333 [0.8,1,1] recall 0.8 [0.6,0.8,1] recall 0.866667 [0.8,1,0.8] recall 0.933333 [1,0.8,1] recall 0.933333 [0.75,1,1] recall 0.933333 [0.8,1,1] recall 0.8 [0.8,0.6,1] recall 0.933333 [0.8,1,1] recall 1 [1,1,1] recall 0.866667 [0.75,1,0.833333] recall 0.933333 [1,0.8,1] recall 0.933333 [0.75,1,1] recall 0.933333 [0.75,1,1] recall 0.666667 [0.4,0.8,0.8] relative_absolute_error 0.42347 relative_absolute_error 0.277084 relative_absolute_error 0.424336 relative_absolute_error 0.481813 relative_absolute_error 0.496272 relative_absolute_error 0.395848 relative_absolute_error 0.495689 relative_absolute_error 0.415686 relative_absolute_error 0.314364 relative_absolute_error 0.32239 relative_absolute_error 0.39918 relative_absolute_error 0.250684 relative_absolute_error 0.297906 relative_absolute_error 0.489723 relative_absolute_error 0.254066 relative_absolute_error 0.498265 relative_absolute_error 0.282591 relative_absolute_error 0.566225 relative_absolute_error 0.30994 relative_absolute_error 0.414861 relative_absolute_error 0.247101 relative_absolute_error 0.443697 relative_absolute_error 0.408037 relative_absolute_error 0.180412 relative_absolute_error 0.374004 relative_absolute_error 0.261454 relative_absolute_error 0.41979 relative_absolute_error 0.559378 relative_absolute_error 0.342446 relative_absolute_error 0.150955 relative_absolute_error 0.412917 relative_absolute_error 0.234499 relative_absolute_error 0.345997 relative_absolute_error 0.323389 relative_absolute_error 0.48993 relative_absolute_error 0.607513 relative_absolute_error 0.499129 relative_absolute_error 0.246053 relative_absolute_error 0.448227 relative_absolute_error 0.37957 relative_absolute_error 0.402445 relative_absolute_error 0.377289 relative_absolute_error 0.297154 relative_absolute_error 0.231724 relative_absolute_error 0.241076 relative_absolute_error 0.379228 relative_absolute_error 0.276643 relative_absolute_error 0.340144 relative_absolute_error 0.397907 relative_absolute_error 0.398126 relative_absolute_error 0.310116 relative_absolute_error 0.397997 relative_absolute_error 0.354772 relative_absolute_error 0.525809 relative_absolute_error 0.412711 relative_absolute_error 0.371905 relative_absolute_error 0.313744 relative_absolute_error 0.193463 relative_absolute_error 0.368991 relative_absolute_error 0.365494 relative_absolute_error 0.269088 relative_absolute_error 0.444326 relative_absolute_error 0.345439 relative_absolute_error 0.442575 relative_absolute_error 0.33567 relative_absolute_error 0.263729 relative_absolute_error 0.253819 relative_absolute_error 0.255811 relative_absolute_error 0.265729 relative_absolute_error 0.542838 relative_absolute_error 0.435368 relative_absolute_error 0.371941 relative_absolute_error 0.264814 relative_absolute_error 0.397013 relative_absolute_error 0.292578 relative_absolute_error 0.23687 relative_absolute_error 0.342948 relative_absolute_error 0.455701 relative_absolute_error 0.433543 relative_absolute_error 0.430335 relative_absolute_error 0.423913 relative_absolute_error 0.421377 relative_absolute_error 0.369658 relative_absolute_error 0.267633 relative_absolute_error 0.315572 relative_absolute_error 0.191921 relative_absolute_error 0.291195 relative_absolute_error 0.322456 relative_absolute_error 0.384582 relative_absolute_error 0.311215 relative_absolute_error 0.206494 relative_absolute_error 0.319344 relative_absolute_error 0.40189 relative_absolute_error 0.33302 relative_absolute_error 0.220739 relative_absolute_error 0.287514 relative_absolute_error 0.305323 relative_absolute_error 0.355328 relative_absolute_error 0.365679 relative_absolute_error 0.65764 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_squared_error 0.271389 root_mean_squared_error 0.217414 root_mean_squared_error 0.300236 root_mean_squared_error 0.326548 root_mean_squared_error 0.355443 root_mean_squared_error 0.281633 root_mean_squared_error 0.362398 root_mean_squared_error 0.322918 root_mean_squared_error 0.243658 root_mean_squared_error 0.262983 root_mean_squared_error 0.296103 root_mean_squared_error 0.229248 root_mean_squared_error 0.215024 root_mean_squared_error 0.353116 root_mean_squared_error 0.221767 root_mean_squared_error 0.341083 root_mean_squared_error 0.258817 root_mean_squared_error 0.354958 root_mean_squared_error 0.208968 root_mean_squared_error 0.321736 root_mean_squared_error 0.197565 root_mean_squared_error 0.336352 root_mean_squared_error 0.294819 root_mean_squared_error 0.119531 root_mean_squared_error 0.233789 root_mean_squared_error 0.183598 root_mean_squared_error 0.294186 root_mean_squared_error 0.406406 root_mean_squared_error 0.265373 root_mean_squared_error 0.096755 root_mean_squared_error 0.341889 root_mean_squared_error 0.211554 root_mean_squared_error 0.254651 root_mean_squared_error 0.238428 root_mean_squared_error 0.366347 root_mean_squared_error 0.401467 root_mean_squared_error 0.334196 root_mean_squared_error 0.19613 root_mean_squared_error 0.342727 root_mean_squared_error 0.291228 root_mean_squared_error 0.293388 root_mean_squared_error 0.262439 root_mean_squared_error 0.239266 root_mean_squared_error 0.19174 root_mean_squared_error 0.1383 root_mean_squared_error 0.283858 root_mean_squared_error 0.21305 root_mean_squared_error 0.264082 root_mean_squared_error 0.317772 root_mean_squared_error 0.287689 root_mean_squared_error 0.248199 root_mean_squared_error 0.269665 root_mean_squared_error 0.261882 root_mean_squared_error 0.372586 root_mean_squared_error 0.334381 root_mean_squared_error 0.250666 root_mean_squared_error 0.231321 root_mean_squared_error 0.144086 root_mean_squared_error 0.282173 root_mean_squared_error 0.245827 root_mean_squared_error 0.1865 root_mean_squared_error 0.32521 root_mean_squared_error 0.272594 root_mean_squared_error 0.322573 root_mean_squared_error 0.26832 root_mean_squared_error 0.219586 root_mean_squared_error 0.180237 root_mean_squared_error 0.180535 root_mean_squared_error 0.171773 root_mean_squared_error 0.365988 root_mean_squared_error 0.291407 root_mean_squared_error 0.265599 root_mean_squared_error 0.221704 root_mean_squared_error 0.294838 root_mean_squared_error 0.218163 root_mean_squared_error 0.158165 root_mean_squared_error 0.282742 root_mean_squared_error 0.324049 root_mean_squared_error 0.358607 root_mean_squared_error 0.301301 root_mean_squared_error 0.339557 root_mean_squared_error 0.307857 root_mean_squared_error 0.287998 root_mean_squared_error 0.230601 root_mean_squared_error 0.279851 root_mean_squared_error 0.168203 root_mean_squared_error 0.230777 root_mean_squared_error 0.25495 root_mean_squared_error 0.274396 root_mean_squared_error 0.201662 root_mean_squared_error 0.166326 root_mean_squared_error 0.239322 root_mean_squared_error 0.3054 root_mean_squared_error 0.238002 root_mean_squared_error 0.14118 root_mean_squared_error 0.241034 root_mean_squared_error 0.25299 root_mean_squared_error 0.231049 root_mean_squared_error 0.234078 root_mean_squared_error 0.417247 root_relative_squared_error 0.576204 root_relative_squared_error 0.461604 root_relative_squared_error 0.637449 root_relative_squared_error 0.693313 root_relative_squared_error 0.754662 root_relative_squared_error 0.597952 root_relative_squared_error 0.769429 root_relative_squared_error 0.685608 root_relative_squared_error 0.517326 root_relative_squared_error 0.558356 root_relative_squared_error 0.628037 root_relative_squared_error 0.487186 root_relative_squared_error 0.456958 root_relative_squared_error 0.750424 root_relative_squared_error 0.471288 root_relative_squared_error 0.723441 root_relative_squared_error 0.550024 root_relative_squared_error 0.752869 root_relative_squared_error 0.443223 root_relative_squared_error 0.683737 root_relative_squared_error 0.419036 root_relative_squared_error 0.713405 root_relative_squared_error 0.625313 root_relative_squared_error 0.253526 root_relative_squared_error 0.495869 root_relative_squared_error 0.389413 root_relative_squared_error 0.62397 root_relative_squared_error 0.86199 root_relative_squared_error 0.562859 root_relative_squared_error 0.205218 root_relative_squared_error 0.725148 root_relative_squared_error 0.448708 root_relative_squared_error 0.540116 root_relative_squared_error 0.505708 root_relative_squared_error 0.777024 root_relative_squared_error 0.851514 root_relative_squared_error 0.708832 root_relative_squared_error 0.415993 root_relative_squared_error 0.726926 root_relative_squared_error 0.617696 root_relative_squared_error 0.622277 root_relative_squared_error 0.556636 root_relative_squared_error 0.507485 root_relative_squared_error 0.406683 root_relative_squared_error 0.293336 root_relative_squared_error 0.602065 root_relative_squared_error 0.45188 root_relative_squared_error 0.56012 root_relative_squared_error 0.673996 root_relative_squared_error 0.610191 root_relative_squared_error 0.526432 root_relative_squared_error 0.571962 root_relative_squared_error 0.555453 root_relative_squared_error 0.790257 root_relative_squared_error 0.709224 root_relative_squared_error 0.531665 root_relative_squared_error 0.490632 root_relative_squared_error 0.305607 root_relative_squared_error 0.598492 root_relative_squared_error 0.521401 root_relative_squared_error 0.395568 root_relative_squared_error 0.689773 root_relative_squared_error 0.578173 root_relative_squared_error 0.68418 root_relative_squared_error 0.569109 root_relative_squared_error 0.465744 root_relative_squared_error 0.382283 root_relative_squared_error 0.382916 root_relative_squared_error 0.364332 root_relative_squared_error 0.776263 root_relative_squared_error 0.618077 root_relative_squared_error 0.563338 root_relative_squared_error 0.470235 root_relative_squared_error 0.625353 root_relative_squared_error 0.462726 root_relative_squared_error 0.335469 root_relative_squared_error 0.599697 root_relative_squared_error 0.687309 root_relative_squared_error 0.760608 root_relative_squared_error 0.639063 root_relative_squared_error 0.720203 root_relative_squared_error 0.652968 root_relative_squared_error 0.610846 root_relative_squared_error 0.489107 root_relative_squared_error 0.593565 root_relative_squared_error 0.35676 root_relative_squared_error 0.48948 root_relative_squared_error 0.540751 root_relative_squared_error 0.581996 root_relative_squared_error 0.427727 root_relative_squared_error 0.353467 root_relative_squared_error 0.507604 root_relative_squared_error 0.647756 root_relative_squared_error 0.504804 root_relative_squared_error 0.299444 root_relative_squared_error 0.512234 root_relative_squared_error 0.536594 root_relative_squared_error 0.491013 root_relative_squared_error 0.497451 root_relative_squared_error 0.884985 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 90 usercpu_time_millis 120 usercpu_time_millis 60 usercpu_time_millis 90 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 140 usercpu_time_millis 30 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 60 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 60 usercpu_time_millis 120 usercpu_time_millis 30 usercpu_time_millis 80 usercpu_time_millis 30 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 110 usercpu_time_millis 90 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 180 usercpu_time_millis 90 usercpu_time_millis 60 usercpu_time_millis 90 usercpu_time_millis 120 usercpu_time_millis 70 usercpu_time_millis 30 usercpu_time_millis 60 usercpu_time_millis 30 usercpu_time_millis 90 usercpu_time_millis 30 usercpu_time_millis 110 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 90 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 20 usercpu_time_millis 80 usercpu_time_millis 110 usercpu_time_millis 40 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 30 usercpu_time_millis 110 usercpu_time_millis 60 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 100 usercpu_time_millis 70 usercpu_time_millis 30 usercpu_time_millis 70 usercpu_time_millis 30 usercpu_time_millis 60 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 90 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 20 usercpu_time_millis 30 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