448595 2 Joaquin Vanschoren 1915 Supervised Classification predictive_accuracy 1168 weka.BayesNet_K2(6) 1921 weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 D true 1168 Q weka.classifiers.bayes.net.search.local.K2 1168 P 1 1169 S BAYES 1169 weka weka_3.7.12 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 1572913 description https://api.openml.org/data/download/1572913/weka_generated_run8720484501381158417.xml -1 1572916 model_readable https://api.openml.org/data/download/1572916/WekaModel_weka.classifiers.bayes.BayesNet8394808461193753537.model -1 1572915 model_serialized https://api.openml.org/data/download/1572915/WekaSerialized_weka.classifiers.bayes.BayesNet3175532136862802521.model -1 1572914 predictions https://api.openml.org/data/download/1572914/weka_generated_predictions2078788535185763687.arff area_under_roc_curve 0.999541 [1,0.998592,1,0.998325,1,1] average_cost 0 f_measure 0.979291 [1,0.935484,1,0.925636,1,1] kappa 0.974016 kb_relative_information_score 3569.074362 mean_absolute_error 0.008332 mean_prior_absolute_error 0.266447 number_of_instances 3660 [1120,610,720,490,520,200] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.980164 [1,0.97007,1,0.889098,1,1] predictive_accuracy 0.979235 prior_entropy 2.437791 recall 0.979235 [1,0.903279,1,0.965306,1,1] relative_absolute_error 0.031271 root_mean_prior_squared_error 0.364873 root_mean_squared_error 0.066407 root_relative_squared_error 0.182 scimark_benchmark 930.404046 [552.1496309692806, 999.7172495283804, 467.86139427096174, 904.5686674515777, 1727.7232870185824] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 0 area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998284 [1,0.994624,1,0.99375,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.993134 [1,0.978495,1,0.975,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998284 [1,0.994624,1,0.99375,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.996567 [1,0.989247,1,0.9875,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998284 [1,0.994624,1,0.99375,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998284 [1,0.994624,1,0.99375,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998255 [1,0.995238,1,0.99375,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998206 [1,0.994444,1,0.992188,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998178 [1,0.994444,1,0.993548,1,1] area_under_roc_curve 0.992712 [1,0.977778,1,0.974194,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998178 [1,0.994444,1,0.993548,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.994534 [1,0.983333,1,0.980645,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998178 [1,0.994444,1,0.993548,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.996356 [1,0.988889,1,0.987097,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.998178 [1,0.994444,1,0.993548,1,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.973435 [1,0.923077,1,0.888889,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.945045 [1,0.8,1,0.833333,1,1] f_measure 0.945946 [1,0.833333,1,0.8,1,1] f_measure 0.973435 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.917533 [1,0.769231,1,0.666667,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.945045 [1,0.8,1,0.833333,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.914761 [1,0.666667,1,0.769231,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.972372 [1,0.933333,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.945946 [1,0.833333,1,0.833333,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 0.945946 [1,0.833333,1,0.833333,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972511 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972973 [1,0.909091,1,0.909091,1,1] f_measure 0.945946 [1,0.833333,1,0.833333,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972697 [1,0.923077,1,0.888889,1,1] f_measure 0.972503 [1,0.909091,1,0.888889,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.943519 [1,0.8,1,0.833333,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.915242 [1,0.769231,1,0.666667,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.943519 [1,0.8,1,0.833333,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.943519 [1,0.8,1,0.833333,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.943519 [1,0.8,1,0.833333,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.971747 [1,0.923077,1,0.888889,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.972222 [1,0.909091,1,0.909091,1,1] f_measure 0.944444 [1,0.833333,1,0.8,1,1] kappa 0.966333 kappa 1 kappa 1 kappa 1 kappa 0.96621 kappa 1 kappa 0.965899 kappa 0.965961 kappa 1 kappa 1 kappa 1 kappa 0.931985 kappa 0.932605 kappa 0.965899 kappa 1 kappa 0.96621 kappa 1 kappa 0.965899 kappa 0.965961 kappa 0.965961 kappa 0.966148 kappa 1 kappa 1 kappa 0.96621 kappa 0.898815 kappa 0.966333 kappa 0.966272 kappa 1 kappa 0.966272 kappa 1 kappa 1 kappa 1 kappa 1 kappa 0.966148 kappa 0.966333 kappa 0.966333 kappa 1 kappa 1 kappa 0.966272 kappa 1 kappa 0.931985 kappa 0.966333 kappa 0.96621 kappa 1 kappa 1 kappa 1 kappa 0.898815 kappa 0.966333 kappa 0.966179 kappa 1 kappa 0.932727 kappa 0.966272 kappa 0.932727 kappa 0.966333 kappa 1 kappa 0.965899 kappa 1 kappa 1 kappa 0.96621 kappa 0.932727 kappa 0.965284 kappa 0.965284 kappa 1 kappa 0.965284 kappa 1 kappa 0.965284 kappa 1 kappa 0.965217 kappa 0.965116 kappa 0.965284 kappa 1 kappa 0.965284 kappa 0.930636 kappa 1 kappa 0.965284 kappa 0.965217 kappa 1 kappa 0.965284 kappa 0.965284 kappa 1 kappa 0.895652 kappa 1 kappa 1 kappa 1 kappa 0.965284 kappa 0.930636 kappa 0.965284 kappa 0.930636 kappa 0.965284 kappa 1 kappa 1 kappa 1 kappa 0.965284 kappa 0.930636 kappa 1 kappa 0.965217 kappa 0.965284 kappa 1 kappa 0.965284 kappa 0.930502 kb_relative_information_score 36.267961 kb_relative_information_score 36.552553 kb_relative_information_score 36.929107 kb_relative_information_score 36.299531 kb_relative_information_score 36.125854 kb_relative_information_score 36.904918 kb_relative_information_score 35.027007 kb_relative_information_score 35.898653 kb_relative_information_score 36.567942 kb_relative_information_score 36.126049 kb_relative_information_score 36.604929 kb_relative_information_score 34.081189 kb_relative_information_score 35.478443 kb_relative_information_score 35.990516 kb_relative_information_score 36.893124 kb_relative_information_score 35.59123 kb_relative_information_score 36.452831 kb_relative_information_score 35.65323 kb_relative_information_score 36.018846 kb_relative_information_score 35.712179 kb_relative_information_score 35.727316 kb_relative_information_score 36.855717 kb_relative_information_score 36.430125 kb_relative_information_score 36.368451 kb_relative_information_score 34.293647 kb_relative_information_score 35.908803 kb_relative_information_score 35.89371 kb_relative_information_score 36.810617 kb_relative_information_score 36.508 kb_relative_information_score 36.693873 kb_relative_information_score 36.348724 kb_relative_information_score 36.50895 kb_relative_information_score 36.242436 kb_relative_information_score 35.47381 kb_relative_information_score 36.201611 kb_relative_information_score 35.962047 kb_relative_information_score 36.911305 kb_relative_information_score 36.778003 kb_relative_information_score 36.224651 kb_relative_information_score 36.291926 kb_relative_information_score 35.282854 kb_relative_information_score 35.489461 kb_relative_information_score 36.209007 kb_relative_information_score 36.919628 kb_relative_information_score 36.570084 kb_relative_information_score 36.347135 kb_relative_information_score 33.859242 kb_relative_information_score 36.127963 kb_relative_information_score 36.175796 kb_relative_information_score 37.105255 kb_relative_information_score 35.548141 kb_relative_information_score 35.787114 kb_relative_information_score 35.702104 kb_relative_information_score 35.845685 kb_relative_information_score 36.385559 kb_relative_information_score 35.841304 kb_relative_information_score 36.765514 kb_relative_information_score 36.700233 kb_relative_information_score 36.063441 kb_relative_information_score 35.178239 kb_relative_information_score 35.183554 kb_relative_information_score 35.234873 kb_relative_information_score 35.529676 kb_relative_information_score 35.296309 kb_relative_information_score 35.542594 kb_relative_information_score 35.303791 kb_relative_information_score 35.864214 kb_relative_information_score 35.000556 kb_relative_information_score 34.451619 kb_relative_information_score 35.13764 kb_relative_information_score 35.810025 kb_relative_information_score 34.766259 kb_relative_information_score 33.401244 kb_relative_information_score 35.721179 kb_relative_information_score 33.628713 kb_relative_information_score 35.212237 kb_relative_information_score 35.372806 kb_relative_information_score 35.285556 kb_relative_information_score 34.780449 kb_relative_information_score 35.904974 kb_relative_information_score 33.162544 kb_relative_information_score 35.902889 kb_relative_information_score 35.741535 kb_relative_information_score 35.477422 kb_relative_information_score 35.143584 kb_relative_information_score 34.540915 kb_relative_information_score 35.538499 kb_relative_information_score 33.968605 kb_relative_information_score 34.711834 kb_relative_information_score 35.576833 kb_relative_information_score 35.775613 kb_relative_information_score 35.564 kb_relative_information_score 34.823833 kb_relative_information_score 33.698455 kb_relative_information_score 35.66654 kb_relative_information_score 35.444333 kb_relative_information_score 35.361447 kb_relative_information_score 35.556913 kb_relative_information_score 35.234249 kb_relative_information_score 34.24248 mean_absolute_error 0.009197 mean_absolute_error 0.00182 mean_absolute_error 0.00279 mean_absolute_error 0.005119 mean_absolute_error 0.007545 mean_absolute_error 0.000453 mean_absolute_error 0.013638 mean_absolute_error 0.008686 mean_absolute_error 0.001606 mean_absolute_error 0.006598 mean_absolute_error 0.004735 mean_absolute_error 0.021464 mean_absolute_error 0.013682 mean_absolute_error 0.005771 mean_absolute_error 0.000619 mean_absolute_error 0.013048 mean_absolute_error 0.003099 mean_absolute_error 0.00958 mean_absolute_error 0.007708 mean_absolute_error 0.008682 mean_absolute_error 0.011004 mean_absolute_error 0.001192 mean_absolute_error 0.00346 mean_absolute_error 0.005905 mean_absolute_error 0.02355 mean_absolute_error 0.012198 mean_absolute_error 0.012754 mean_absolute_error 0.001806 mean_absolute_error 0.007333 mean_absolute_error 0.003302 mean_absolute_error 0.00463 mean_absolute_error 0.005773 mean_absolute_error 0.003014 mean_absolute_error 0.014419 mean_absolute_error 0.008441 mean_absolute_error 0.008931 mean_absolute_error 0.003031 mean_absolute_error 0.002317 mean_absolute_error 0.010507 mean_absolute_error 0.00776 mean_absolute_error 0.012496 mean_absolute_error 0.014707 mean_absolute_error 0.008139 mean_absolute_error 0.002937 mean_absolute_error 0.001577 mean_absolute_error 0.002966 mean_absolute_error 0.028075 mean_absolute_error 0.007984 mean_absolute_error 0.008548 mean_absolute_error 0.000289 mean_absolute_error 0.013138 mean_absolute_error 0.011463 mean_absolute_error 0.013128 mean_absolute_error 0.010513 mean_absolute_error 0.003629 mean_absolute_error 0.009431 mean_absolute_error 0.002353 mean_absolute_error 0.005639 mean_absolute_error 0.008203 mean_absolute_error 0.016664 mean_absolute_error 0.008742 mean_absolute_error 0.007447 mean_absolute_error 0.005995 mean_absolute_error 0.007242 mean_absolute_error 0.006177 mean_absolute_error 0.00767 mean_absolute_error 0.001627 mean_absolute_error 0.008532 mean_absolute_error 0.011293 mean_absolute_error 0.009208 mean_absolute_error 0.002377 mean_absolute_error 0.012678 mean_absolute_error 0.023561 mean_absolute_error 0.003692 mean_absolute_error 0.023003 mean_absolute_error 0.008322 mean_absolute_error 0.007514 mean_absolute_error 0.00822 mean_absolute_error 0.012725 mean_absolute_error 0.000996 mean_absolute_error 0.023831 mean_absolute_error 0.001024 mean_absolute_error 0.003284 mean_absolute_error 0.006763 mean_absolute_error 0.008973 mean_absolute_error 0.015147 mean_absolute_error 0.004921 mean_absolute_error 0.019304 mean_absolute_error 0.010609 mean_absolute_error 0.005502 mean_absolute_error 0.002232 mean_absolute_error 0.004097 mean_absolute_error 0.008945 mean_absolute_error 0.017628 mean_absolute_error 0.002677 mean_absolute_error 0.006334 mean_absolute_error 0.006519 mean_absolute_error 0.00554 mean_absolute_error 0.008432 mean_absolute_error 0.015962 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26533 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26533 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 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number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,8,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,4,6,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] precision 0.977477 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.978378 [1,1,1,0.8,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.96139 [1,1,1,0.714286,1,1] precision 0.945946 [1,0.833333,1,0.8,1,1] precision 0.978378 [1,1,1,0.8,1,1] precision 1 [1,1,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.919884 [1,0.714286,1,0.75,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.96139 [1,1,1,0.714286,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.949324 [1,1,1,0.625,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.976351 [1,0.875,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.96139 [1,1,1,0.714286,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.96139 [1,1,1,0.714286,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.977477 [1,1,1,0.833333,1,1] precision 0.96139 [1,1,1,0.714286,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.977778 [1,1,1,0.8,1,1] precision 0.977778 [1,1,1,0.8,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.960317 [1,1,1,0.714286,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.917659 [1,0.714286,1,0.75,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.960317 [1,1,1,0.714286,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.960317 [1,1,1,0.714286,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.960317 [1,1,1,0.714286,1,1] precision 1 [1,1,1,1,1,1] precision 0.97619 [1,0.857143,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 1 [1,1,1,1,1,1] precision 0.976852 [1,1,1,0.833333,1,1] precision 0.944444 [1,0.833333,1,0.8,1,1] predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.918919 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.918919 predictive_accuracy 0.972973 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 0.945946 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972973 predictive_accuracy 0.945946 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.916667 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.944444 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.972222 predictive_accuracy 1 predictive_accuracy 0.972222 predictive_accuracy 0.944444 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,0.857143,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,0.666667,1,1,1,1] recall 0.945946 [1,0.833333,1,0.8,1,1] recall 0.972973 [1,0.857143,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.918919 [1,0.833333,1,0.6,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,0.666667,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.918919 [1,0.5,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 0.945946 [1,0.714286,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.945946 [1,0.714286,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972973 [1,0.833333,1,1,1,1] recall 0.945946 [1,0.714286,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.857143,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.916667 [1,0.833333,1,0.6,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,0.666667,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,1,1,0.8,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 1 [1,1,1,1,1,1] recall 0.972222 [1,0.833333,1,1,1,1] recall 0.944444 [1,0.833333,1,0.8,1,1] relative_absolute_error 0.034435 relative_absolute_error 0.00685 relative_absolute_error 0.010446 relative_absolute_error 0.01927 relative_absolute_error 0.028302 relative_absolute_error 0.0017 relative_absolute_error 0.051401 relative_absolute_error 0.032701 relative_absolute_error 0.006046 relative_absolute_error 0.024838 relative_absolute_error 0.017761 relative_absolute_error 0.080809 relative_absolute_error 0.051228 relative_absolute_error 0.02175 relative_absolute_error 0.002324 relative_absolute_error 0.048944 relative_absolute_error 0.011667 relative_absolute_error 0.036068 relative_absolute_error 0.029018 relative_absolute_error 0.032686 relative_absolute_error 0.041277 relative_absolute_error 0.00447 relative_absolute_error 0.013025 relative_absolute_error 0.022152 relative_absolute_error 0.08818 relative_absolute_error 0.045674 relative_absolute_error 0.047753 relative_absolute_error 0.006774 relative_absolute_error 0.027458 relative_absolute_error 0.012387 relative_absolute_error 0.017429 relative_absolute_error 0.021654 relative_absolute_error 0.01137 relative_absolute_error 0.054087 relative_absolute_error 0.031605 relative_absolute_error 0.03344 relative_absolute_error 0.01135 relative_absolute_error 0.008691 relative_absolute_error 0.039343 relative_absolute_error 0.029117 relative_absolute_error 0.047045 relative_absolute_error 0.055067 relative_absolute_error 0.03053 relative_absolute_error 0.010996 relative_absolute_error 0.005937 relative_absolute_error 0.011179 relative_absolute_error 0.105312 relative_absolute_error 0.029896 relative_absolute_error 0.032033 relative_absolute_error 0.001084 relative_absolute_error 0.049234 relative_absolute_error 0.04292 relative_absolute_error 0.049197 relative_absolute_error 0.039364 relative_absolute_error 0.013661 relative_absolute_error 0.035505 relative_absolute_error 0.008828 relative_absolute_error 0.021113 relative_absolute_error 0.03077 relative_absolute_error 0.062446 relative_absolute_error 0.032796 relative_absolute_error 0.02794 relative_absolute_error 0.02249 relative_absolute_error 0.02717 relative_absolute_error 0.023175 relative_absolute_error 0.028776 relative_absolute_error 0.006103 relative_absolute_error 0.032043 relative_absolute_error 0.042458 relative_absolute_error 0.034546 relative_absolute_error 0.008918 relative_absolute_error 0.047562 relative_absolute_error 0.088393 relative_absolute_error 0.01385 relative_absolute_error 0.0863 relative_absolute_error 0.031223 relative_absolute_error 0.028188 relative_absolute_error 0.030839 relative_absolute_error 0.04774 relative_absolute_error 0.003735 relative_absolute_error 0.089406 relative_absolute_error 0.003841 relative_absolute_error 0.012319 relative_absolute_error 0.025371 relative_absolute_error 0.033663 relative_absolute_error 0.056825 relative_absolute_error 0.018463 relative_absolute_error 0.072421 relative_absolute_error 0.0398 relative_absolute_error 0.02064 relative_absolute_error 0.008375 relative_absolute_error 0.015387 relative_absolute_error 0.033559 relative_absolute_error 0.066132 relative_absolute_error 0.010055 relative_absolute_error 0.023763 relative_absolute_error 0.024458 relative_absolute_error 0.020783 relative_absolute_error 0.031635 relative_absolute_error 0.059883 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.362972 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.364968 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.364232 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364914 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_squared_error 0.065318 root_mean_squared_error 0.010909 root_mean_squared_error 0.018126 root_mean_squared_error 0.031571 root_mean_squared_error 0.067967 root_mean_squared_error 0.002605 root_mean_squared_error 0.089668 root_mean_squared_error 0.06146 root_mean_squared_error 0.009193 root_mean_squared_error 0.048582 root_mean_squared_error 0.022623 root_mean_squared_error 0.121096 root_mean_squared_error 0.100249 root_mean_squared_error 0.056143 root_mean_squared_error 0.005684 root_mean_squared_error 0.085182 root_mean_squared_error 0.022711 root_mean_squared_error 0.073818 root_mean_squared_error 0.054248 root_mean_squared_error 0.072894 root_mean_squared_error 0.083155 root_mean_squared_error 0.005244 root_mean_squared_error 0.020815 root_mean_squared_error 0.056087 root_mean_squared_error 0.12791 root_mean_squared_error 0.077457 root_mean_squared_error 0.076552 root_mean_squared_error 0.012614 root_mean_squared_error 0.052549 root_mean_squared_error 0.02474 root_mean_squared_error 0.025272 root_mean_squared_error 0.034501 root_mean_squared_error 0.018201 root_mean_squared_error 0.088501 root_mean_squared_error 0.072081 root_mean_squared_error 0.088939 root_mean_squared_error 0.019589 root_mean_squared_error 0.011678 root_mean_squared_error 0.064922 root_mean_squared_error 0.047419 root_mean_squared_error 0.089408 root_mean_squared_error 0.099307 root_mean_squared_error 0.059731 root_mean_squared_error 0.017988 root_mean_squared_error 0.007931 root_mean_squared_error 0.014092 root_mean_squared_error 0.137349 root_mean_squared_error 0.075825 root_mean_squared_error 0.068225 root_mean_squared_error 0.001959 root_mean_squared_error 0.094495 root_mean_squared_error 0.087568 root_mean_squared_error 0.086331 root_mean_squared_error 0.090519 root_mean_squared_error 0.034405 root_mean_squared_error 0.064157 root_mean_squared_error 0.019695 root_mean_squared_error 0.035899 root_mean_squared_error 0.069875 root_mean_squared_error 0.107178 root_mean_squared_error 0.063979 root_mean_squared_error 0.06518 root_mean_squared_error 0.037932 root_mean_squared_error 0.060674 root_mean_squared_error 0.030344 root_mean_squared_error 0.058711 root_mean_squared_error 0.009465 root_mean_squared_error 0.068012 root_mean_squared_error 0.083164 root_mean_squared_error 0.064425 root_mean_squared_error 0.015997 root_mean_squared_error 0.07928 root_mean_squared_error 0.121247 root_mean_squared_error 0.02011 root_mean_squared_error 0.120295 root_mean_squared_error 0.062584 root_mean_squared_error 0.050378 root_mean_squared_error 0.056122 root_mean_squared_error 0.081065 root_mean_squared_error 0.008745 root_mean_squared_error 0.134744 root_mean_squared_error 0.009194 root_mean_squared_error 0.02299 root_mean_squared_error 0.039272 root_mean_squared_error 0.067342 root_mean_squared_error 0.090045 root_mean_squared_error 0.048734 root_mean_squared_error 0.110704 root_mean_squared_error 0.091793 root_mean_squared_error 0.033649 root_mean_squared_error 0.022083 root_mean_squared_error 0.022274 root_mean_squared_error 0.091114 root_mean_squared_error 0.11602 root_mean_squared_error 0.013494 root_mean_squared_error 0.050111 root_mean_squared_error 0.058435 root_mean_squared_error 0.037973 root_mean_squared_error 0.062373 root_mean_squared_error 0.101309 root_relative_squared_error 0.178597 root_relative_squared_error 0.02999 root_relative_squared_error 0.049561 root_relative_squared_error 0.086796 root_relative_squared_error 0.186176 root_relative_squared_error 0.007135 root_relative_squared_error 0.246789 root_relative_squared_error 0.168968 root_relative_squared_error 0.025273 root_relative_squared_error 0.133564 root_relative_squared_error 0.061969 root_relative_squared_error 0.332921 root_relative_squared_error 0.274108 root_relative_squared_error 0.15452 root_relative_squared_error 0.015569 root_relative_squared_error 0.233333 root_relative_squared_error 0.062437 root_relative_squared_error 0.202944 root_relative_squared_error 0.149141 root_relative_squared_error 0.200402 root_relative_squared_error 0.227779 root_relative_squared_error 0.014364 root_relative_squared_error 0.057226 root_relative_squared_error 0.153634 root_relative_squared_error 0.349739 root_relative_squared_error 0.211786 root_relative_squared_error 0.209313 root_relative_squared_error 0.034554 root_relative_squared_error 0.143681 root_relative_squared_error 0.06777 root_relative_squared_error 0.069479 root_relative_squared_error 0.094506 root_relative_squared_error 0.050144 root_relative_squared_error 0.242424 root_relative_squared_error 0.197088 root_relative_squared_error 0.243182 root_relative_squared_error 0.053562 root_relative_squared_error 0.031989 root_relative_squared_error 0.177513 root_relative_squared_error 0.129925 root_relative_squared_error 0.245804 root_relative_squared_error 0.271532 root_relative_squared_error 0.163617 root_relative_squared_error 0.049183 root_relative_squared_error 0.021805 root_relative_squared_error 0.038786 root_relative_squared_error 0.37623 root_relative_squared_error 0.207324 root_relative_squared_error 0.186696 root_relative_squared_error 0.005356 root_relative_squared_error 0.258584 root_relative_squared_error 0.239434 root_relative_squared_error 0.236244 root_relative_squared_error 0.247503 root_relative_squared_error 0.094588 root_relative_squared_error 0.176382 root_relative_squared_error 0.053948 root_relative_squared_error 0.098157 root_relative_squared_error 0.191402 root_relative_squared_error 0.293291 root_relative_squared_error 0.175276 root_relative_squared_error 0.178569 root_relative_squared_error 0.103918 root_relative_squared_error 0.166223 root_relative_squared_error 0.08313 root_relative_squared_error 0.160843 root_relative_squared_error 0.025931 root_relative_squared_error 0.186535 root_relative_squared_error 0.228329 root_relative_squared_error 0.176498 root_relative_squared_error 0.043826 root_relative_squared_error 0.217196 root_relative_squared_error 0.332168 root_relative_squared_error 0.055094 root_relative_squared_error 0.329559 root_relative_squared_error 0.171456 root_relative_squared_error 0.138016 root_relative_squared_error 0.153753 root_relative_squared_error 0.222087 root_relative_squared_error 0.023959 root_relative_squared_error 0.369145 root_relative_squared_error 0.025187 root_relative_squared_error 0.062983 root_relative_squared_error 0.107589 root_relative_squared_error 0.184491 root_relative_squared_error 0.246688 root_relative_squared_error 0.133513 root_relative_squared_error 0.303285 root_relative_squared_error 0.251476 root_relative_squared_error 0.092185 root_relative_squared_error 0.060516 root_relative_squared_error 0.061091 root_relative_squared_error 0.249616 root_relative_squared_error 0.317848 root_relative_squared_error 0.03701 root_relative_squared_error 0.137285 root_relative_squared_error 0.160089 root_relative_squared_error 0.104032 root_relative_squared_error 0.170876 root_relative_squared_error 0.277546 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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