365019 2 Joaquin Vanschoren 4654 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 1115 teachingAssistant https://www.openml.org/data/download/53998/teachingAssistant.arff -1 1264256 description https://api.openml.org/data/download/1264256/weka_generated_run958086473482449881.xml -1 1264259 model_readable https://api.openml.org/data/download/1264259/WekaModel_weka.classifiers.bayes.BayesNet722492232208421154.model -1 1264258 model_serialized https://api.openml.org/data/download/1264258/WekaSerialized_weka.classifiers.bayes.BayesNet1514715130354135016.model -1 1264257 predictions https://api.openml.org/data/download/1264257/weka_generated_predictions5116528085349082374.arff area_under_roc_curve 0.960967 [0.962658,0.959271,0.961003] average_cost 0 f_measure 0.879509 [0.893572,0.863222,0.881919] kappa 0.819008 kb_relative_information_score 1150.403129 mean_absolute_error 0.126951 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 0.88127 [0.923747,0.874743,0.847518] predictive_accuracy 0.87947 prior_entropy 1.584538 recall 0.87947 [0.865306,0.852,0.919231] relative_absolute_error 0.285725 root_mean_prior_squared_error 0.471332 root_mean_squared_error 0.252774 root_relative_squared_error 0.536297 scimark_benchmark 1324.788431 [806.3987766376875, 952.5234830366809, 514.7372203605465, 1068.2314605032516, 3282.0512143347632] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.707102 [0.836364,0.536364,0.741667] area_under_roc_curve 0.994318 [0.981818,1,1] area_under_roc_curve 0.909659 [1,0.890909,0.85] area_under_roc_curve 0.914773 [0.818182,0.909091,1] area_under_roc_curve 0.904545 [0.890909,0.963636,0.866667] area_under_roc_curve 0.9375 [0.854545,0.945455,1] area_under_roc_curve 0.908523 [0.818182,0.909091,0.983333] area_under_roc_curve 0.927273 [0.927273,1,0.866667] area_under_roc_curve 0.970455 [1,0.945455,0.966667] area_under_roc_curve 0.953409 [1,0.890909,0.966667] area_under_roc_curve 0.88 [0.82,0.86,0.96] area_under_roc_curve 0.958249 [0.954545,1,0.925926] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.860337 [0.931818,0.88,0.796296] area_under_roc_curve 0.986532 [0.977273,1,0.981481] area_under_roc_curve 0.893333 [0.88,1,0.8] area_under_roc_curve 0.993939 [0.977273,1,1] area_under_roc_curve 0.94 [1,0.86,0.96] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.897912 [0.772727,0.92,0.962963] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.96 [0.92,0.96,1] area_under_roc_curve 0.9 [1,0.88,0.82] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.993333 [0.98,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.973333 [0.98,1,0.94] area_under_roc_curve 0.926667 [0.86,0.92,1] area_under_roc_curve 0.933333 [0.94,0.98,0.88] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.92 [0.92,1,0.84] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 0.92 [0.92,0.96,0.88] area_under_roc_curve 0.906667 [0.88,0.86,0.98] area_under_roc_curve 0.98 [1,0.98,0.96] area_under_roc_curve 0.986667 [1,0.96,1] area_under_roc_curve 0.993333 [1,0.99,0.99] area_under_roc_curve 0.966667 [0.94,0.98,0.98] area_under_roc_curve 0.98 [0.96,0.98,1] area_under_roc_curve 0.94 [0.92,1,0.9] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.873333 [0.96,0.8,0.86] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.986667 [0.97,0.99,1] area_under_roc_curve 0.973333 [1,0.96,0.96] area_under_roc_curve 0.966667 [0.96,1,0.94] area_under_roc_curve 0.9 [1,0.9,0.8] area_under_roc_curve 0.993333 [0.98,1,1] area_under_roc_curve 0.966667 [1,0.94,0.96] area_under_roc_curve 0.92 [0.92,0.88,0.96] area_under_roc_curve 0.993333 [0.98,1,1] area_under_roc_curve 0.96 [1,0.9,0.98] area_under_roc_curve 0.993333 [1,1,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.96 [0.96,0.96,0.96] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.986667 [1,1,0.96] area_under_roc_curve 0.973333 [0.98,0.94,1] 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 1 [1,1,1] 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 [0.88,0.86,0.82] area_under_roc_curve 0.966667 [1,0.94,0.96] area_under_roc_curve 0.913333 [0.88,0.86,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.96 [0.98,0.92,0.98] 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 0.893333 [0.88,0.92,0.88] area_under_roc_curve 0.96 [0.94,0.96,0.98] area_under_roc_curve 0.913333 [0.9,1,0.84] area_under_roc_curve 0.96 [1,0.88,1] area_under_roc_curve 0.9 [0.82,0.92,0.96] area_under_roc_curve 0.966667 [0.98,0.96,0.96] area_under_roc_curve 0.993333 [1,1,0.98] area_under_roc_curve 0.9 [0.84,0.9,0.96] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.986667 [0.98,0.98,1] area_under_roc_curve 0.966667 [0.94,1,0.96] area_under_roc_curve 0.973333 [1,0.94,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.973333 [0.96,1,0.96] area_under_roc_curve 0.9 [0.86,0.88,0.96] area_under_roc_curve 1 [1,1,1] 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 1 [1,1,1] area_under_roc_curve 0.96 [0.96,0.92,1] 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 0.479349 [0.545455,0.25,0.615385] f_measure 0.936432 [0.888889,1,0.923077] f_measure 0.875 [1,0.8,0.833333] f_measure 0.936869 [0.888889,0.909091,1] f_measure 0.748718 [0.666667,0.769231,0.8] f_measure 0.879104 [0.888889,0.833333,0.909091] f_measure 0.805804 [0.75,0.8,0.857143] f_measure 0.9375 [0.909091,1,0.909091] f_measure 0.936432 [1,0.888889,0.923077] f_measure 0.809295 [1,0.666667,0.769231] 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 0.725926 [0.888889,0.666667,0.666667] f_measure 0.931136 [0.857143,1,0.923077] f_measure 0.866667 [0.8,1,0.8] f_measure 0.792857 [0.75,0.75,0.857143] f_measure 0.771284 [0.909091,0.571429,0.833333] 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 0.861111 [0.75,0.833333,1] 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 1 [1,1,1] f_measure 0.866667 [0.8,1,0.8] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 0.794444 [0.833333,0.8,0.75] f_measure 1 [1,1,1] f_measure 0.795455 [0.909091,0.75,0.727273] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.93266 [0.888889,0.909091,1] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.865993 [0.888889,0.8,0.909091] 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 0.93266 [1,0.888889,0.909091] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.794444 [0.75,0.833333,0.8] f_measure 0.93266 [0.888889,0.909091,1] 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 0.655556 [0.8,0.5,0.666667] 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 0.93266 [0.888889,1,0.909091] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.802707 [0.888889,0.769231,0.75] f_measure 0.79798 [1,0.666667,0.727273] f_measure 0.644444 [0.5,0.6,0.833333] f_measure 0.802707 [0.888889,0.75,0.769231] f_measure 0.856061 [0.909091,0.75,0.909091] f_measure 0.93266 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 0.93266 [0.888889,0.909091,1] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.861111 [1,0.75,0.833333] f_measure 0.93266 [0.888889,0.909091,1] f_measure 0.791919 [0.909091,0.666667,0.8] f_measure 0.865993 [0.909091,0.888889,0.8] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.861111 [1,0.833333,0.75] 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 0.795455 [0.727273,0.75,0.909091] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.87037 [0.888889,0.888889,0.833333] 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 0.856061 [0.75,0.909091,0.909091] f_measure 0.865993 [0.8,0.909091,0.888889] 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 0.856061 [0.75,0.909091,0.909091] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.93266 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 1 [1,1,1] 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 0.856061 [0.75,0.909091,0.909091] kappa 0.242604 kappa 0.905325 kappa 0.811765 kappa 0.905882 kappa 0.627907 kappa 0.812865 kappa 0.714286 kappa 0.906433 kappa 0.905325 kappa 0.715976 kappa 0.8 kappa 0.9 kappa 0.9 kappa 0.597315 kappa 0.89726 kappa 0.8 kappa 0.691781 kappa 0.7 kappa 0.9 kappa 0.695946 kappa 0.9 kappa 0.8 kappa 0.8 kappa 1 kappa 0.8 kappa 1 kappa 0.8 kappa 0.8 kappa 0.7 kappa 1 kappa 0.7 kappa 0.9 kappa 0.9 kappa 0.9 kappa 0.8 kappa 0.5 kappa 0.7 kappa 0.9 kappa 0.9 kappa 0.9 kappa 0.7 kappa 0.9 kappa 0.9 kappa 0.9 kappa 1 kappa 0.5 kappa 0.9 kappa 0.8 kappa 0.7 kappa 0.9 kappa 0.9 kappa 0.7 kappa 0.7 kappa 0.5 kappa 0.7 kappa 0.8 kappa 0.9 kappa 1 kappa 0.8 kappa 0.9 kappa 0.9 kappa 0.8 kappa 0.9 kappa 0.7 kappa 0.8 kappa 1 kappa 1 kappa 0.8 kappa 0.9 kappa 0.6 kappa 0.8 kappa 0.7 kappa 0.9 kappa 0.8 kappa 0.8 kappa 1 kappa 0.8 kappa 0.7 kappa 0.8 kappa 0.8 kappa 0.6 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.9 kappa 0.8 kappa 0.9 kappa 0.9 kappa 1 kappa 0.9 kappa 0.8 kappa 1 kappa 1 kappa 0.797297 kappa 0.9 kappa 0.897959 kappa 0.897959 kappa 0.8 kb_relative_information_score 4.449948 kb_relative_information_score 13.035927 kb_relative_information_score 11.554267 kb_relative_information_score 12.123388 kb_relative_information_score 9.784213 kb_relative_information_score 11.514329 kb_relative_information_score 10.708815 kb_relative_information_score 13.053686 kb_relative_information_score 12.679623 kb_relative_information_score 11.615518 kb_relative_information_score 11.000158 kb_relative_information_score 12.624542 kb_relative_information_score 12.07114 kb_relative_information_score 8.989705 kb_relative_information_score 12.482209 kb_relative_information_score 9.735648 kb_relative_information_score 11.499114 kb_relative_information_score 10.243246 kb_relative_information_score 11.852532 kb_relative_information_score 10.295627 kb_relative_information_score 12.918521 kb_relative_information_score 11.570876 kb_relative_information_score 10.93164 kb_relative_information_score 13.838493 kb_relative_information_score 11.121092 kb_relative_information_score 13.128801 kb_relative_information_score 10.450957 kb_relative_information_score 11.039642 kb_relative_information_score 11.035335 kb_relative_information_score 14.134175 kb_relative_information_score 10.340088 kb_relative_information_score 12.864405 kb_relative_information_score 12.865092 kb_relative_information_score 11.788191 kb_relative_information_score 12.293226 kb_relative_information_score 8.228737 kb_relative_information_score 9.206115 kb_relative_information_score 12.448048 kb_relative_information_score 11.818445 kb_relative_information_score 11.462012 kb_relative_information_score 10.531688 kb_relative_information_score 11.492521 kb_relative_information_score 12.304244 kb_relative_information_score 12.419511 kb_relative_information_score 13.180654 kb_relative_information_score 7.896047 kb_relative_information_score 12.421066 kb_relative_information_score 11.662454 kb_relative_information_score 10.488378 kb_relative_information_score 10.915011 kb_relative_information_score 12.215733 kb_relative_information_score 10.420111 kb_relative_information_score 11.054544 kb_relative_information_score 8.800191 kb_relative_information_score 10.464452 kb_relative_information_score 10.677044 kb_relative_information_score 12.120423 kb_relative_information_score 13.462504 kb_relative_information_score 11.178129 kb_relative_information_score 13.257174 kb_relative_information_score 12.816386 kb_relative_information_score 11.634611 kb_relative_information_score 11.683236 kb_relative_information_score 9.969476 kb_relative_information_score 11.374466 kb_relative_information_score 13.854265 kb_relative_information_score 12.782775 kb_relative_information_score 12.199703 kb_relative_information_score 12.94344 kb_relative_information_score 8.770447 kb_relative_information_score 10.839494 kb_relative_information_score 10.798911 kb_relative_information_score 12.686015 kb_relative_information_score 10.747588 kb_relative_information_score 12.025279 kb_relative_information_score 13.387072 kb_relative_information_score 11.295049 kb_relative_information_score 9.866991 kb_relative_information_score 11.328005 kb_relative_information_score 10.804482 kb_relative_information_score 9.878056 kb_relative_information_score 10.473755 kb_relative_information_score 11.004901 kb_relative_information_score 12.318199 kb_relative_information_score 11.586335 kb_relative_information_score 13.04887 kb_relative_information_score 12.347888 kb_relative_information_score 11.533159 kb_relative_information_score 11.032623 kb_relative_information_score 11.90074 kb_relative_information_score 13.922759 kb_relative_information_score 12.113663 kb_relative_information_score 10.763834 kb_relative_information_score 13.627089 kb_relative_information_score 13.469776 kb_relative_information_score 11.835462 kb_relative_information_score 11.900537 kb_relative_information_score 11.505027 kb_relative_information_score 11.794968 kb_relative_information_score 10.778391 mean_absolute_error 0.355352 mean_absolute_error 0.1038 mean_absolute_error 0.152661 mean_absolute_error 0.139292 mean_absolute_error 0.19447 mean_absolute_error 0.152398 mean_absolute_error 0.168009 mean_absolute_error 0.101882 mean_absolute_error 0.113767 mean_absolute_error 0.139183 mean_absolute_error 0.142362 mean_absolute_error 0.085785 mean_absolute_error 0.106284 mean_absolute_error 0.203066 mean_absolute_error 0.088589 mean_absolute_error 0.186743 mean_absolute_error 0.11482 mean_absolute_error 0.17013 mean_absolute_error 0.114557 mean_absolute_error 0.155664 mean_absolute_error 0.077563 mean_absolute_error 0.121431 mean_absolute_error 0.146463 mean_absolute_error 0.051011 mean_absolute_error 0.139637 mean_absolute_error 0.07805 mean_absolute_error 0.158997 mean_absolute_error 0.136543 mean_absolute_error 0.136954 mean_absolute_error 0.040394 mean_absolute_error 0.159297 mean_absolute_error 0.078841 mean_absolute_error 0.079056 mean_absolute_error 0.11386 mean_absolute_error 0.102916 mean_absolute_error 0.218829 mean_absolute_error 0.200027 mean_absolute_error 0.095224 mean_absolute_error 0.116676 mean_absolute_error 0.12586 mean_absolute_error 0.153936 mean_absolute_error 0.131081 mean_absolute_error 0.103312 mean_absolute_error 0.09542 mean_absolute_error 0.079668 mean_absolute_error 0.232091 mean_absolute_error 0.096068 mean_absolute_error 0.114783 mean_absolute_error 0.151967 mean_absolute_error 0.148105 mean_absolute_error 0.104989 mean_absolute_error 0.157377 mean_absolute_error 0.129213 mean_absolute_error 0.201571 mean_absolute_error 0.150032 mean_absolute_error 0.161663 mean_absolute_error 0.106109 mean_absolute_error 0.065049 mean_absolute_error 0.13235 mean_absolute_error 0.067682 mean_absolute_error 0.085684 mean_absolute_error 0.11649 mean_absolute_error 0.119844 mean_absolute_error 0.173382 mean_absolute_error 0.12533 mean_absolute_error 0.051538 mean_absolute_error 0.086804 mean_absolute_error 0.095214 mean_absolute_error 0.079284 mean_absolute_error 0.213564 mean_absolute_error 0.154178 mean_absolute_error 0.154476 mean_absolute_error 0.085888 mean_absolute_error 0.150851 mean_absolute_error 0.108639 mean_absolute_error 0.070169 mean_absolute_error 0.129576 mean_absolute_error 0.178548 mean_absolute_error 0.127271 mean_absolute_error 0.15117 mean_absolute_error 0.170127 mean_absolute_error 0.157088 mean_absolute_error 0.140066 mean_absolute_error 0.089496 mean_absolute_error 0.118606 mean_absolute_error 0.069607 mean_absolute_error 0.100545 mean_absolute_error 0.115786 mean_absolute_error 0.136692 mean_absolute_error 0.116802 mean_absolute_error 0.044859 mean_absolute_error 0.108474 mean_absolute_error 0.150439 mean_absolute_error 0.061467 mean_absolute_error 0.067428 mean_absolute_error 0.106327 mean_absolute_error 0.112827 mean_absolute_error 0.131008 mean_absolute_error 0.119115 mean_absolute_error 0.148073 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 0.474702 [0.5,0.333333,0.571429] precision 0.946429 [1,1,0.857143] precision 0.875 [1,0.8,0.833333] precision 0.947917 [1,0.833333,1] precision 0.804688 [0.75,0.625,1] precision 0.910714 [1,0.714286,1] precision 0.84375 [1,0.8,0.75] precision 0.947917 [0.833333,1,1] precision 0.946429 [1,1,0.857143] precision 0.814732 [1,0.75,0.714286] precision 0.877778 [1,0.8,0.833333] precision 0.946667 [0.8,1,1] precision 0.946667 [0.8,1,1] precision 0.73 [0.8,0.75,0.666667] precision 0.942857 [1,1,0.857143] precision 0.866667 [0.8,1,0.8] precision 0.833333 [0.75,1,0.75] precision 0.849206 [0.833333,1,0.714286] precision 0.944444 [0.833333,1,1] precision 0.8 [0.75,0.8,0.833333] precision 0.944444 [1,1,0.833333] precision 0.904762 [1,0.714286,1] precision 0.904762 [1,0.714286,1] precision 1 [1,1,1] precision 0.888889 [0.833333,1,0.833333] precision 1 [1,1,1] precision 0.866667 [0.8,1,0.8] precision 0.877778 [1,0.8,0.833333] precision 0.838095 [0.714286,0.8,1] precision 1 [1,1,1] precision 0.833333 [0.833333,1,0.666667] precision 0.944444 [1,1,0.833333] precision 0.944444 [1,0.833333,1] precision 0.944444 [1,1,0.833333] precision 0.877778 [1,0.8,0.833333] 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 0.944444 [1,1,0.833333] precision 0.944444 [1,1,0.833333] precision 0.838095 [1,0.714286,0.8] precision 0.944444 [1,0.833333,1] precision 0.944444 [0.833333,1,1] precision 0.944444 [1,0.833333,1] precision 1 [1,1,1] precision 0.679365 [0.8,0.666667,0.571429] precision 0.944444 [1,1,0.833333] precision 0.888889 [1,0.833333,0.833333] precision 0.875 [1,1,0.625] precision 0.944444 [1,1,0.833333] precision 0.944444 [1,0.833333,1] precision 0.875 [1,0.625,1] precision 0.805556 [1,0.75,0.666667] precision 0.660317 [0.666667,0.6,0.714286] precision 0.875 [1,1,0.625] precision 0.888889 [0.833333,1,0.833333] precision 0.944444 [1,1,0.833333] precision 1 [1,1,1] precision 0.877778 [1,0.8,0.833333] precision 0.944444 [1,0.833333,1] precision 0.944444 [0.833333,1,1] precision 0.904762 [1,1,0.714286] precision 0.944444 [1,0.833333,1] precision 0.794444 [0.833333,0.75,0.8] precision 0.877778 [0.833333,1,0.8] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [0.833333,1,1] precision 0.77381 [1,0.75,0.571429] precision 0.877778 [1,0.8,0.833333] precision 0.833333 [0.666667,1,0.833333] precision 0.944444 [1,1,0.833333] precision 0.904762 [1,1,0.714286] 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 0.888889 [1,0.833333,0.833333] precision 0.877778 [0.8,0.833333,1] 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 0.888889 [1,0.833333,0.833333] precision 0.944444 [1,1,0.833333] precision 0.944444 [1,1,0.833333] precision 1 [1,1,1] precision 0.944444 [1,1,0.833333] precision 0.877778 [1,0.8,0.833333] precision 1 [1,1,1] 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 0.888889 [1,0.833333,0.833333] predictive_accuracy 0.5 predictive_accuracy 0.9375 predictive_accuracy 0.875 predictive_accuracy 0.9375 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.8125 predictive_accuracy 0.9375 predictive_accuracy 0.9375 predictive_accuracy 0.8125 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 0.666667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.866667 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 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 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 0.5 [0.6,0.2,0.666667] recall 0.9375 [0.8,1,1] recall 0.875 [1,0.8,0.833333] recall 0.9375 [0.8,1,1] recall 0.75 [0.6,1,0.666667] recall 0.875 [0.8,1,0.833333] recall 0.8125 [0.6,0.8,1] recall 0.9375 [1,1,0.833333] recall 0.9375 [1,0.8,1] recall 0.8125 [1,0.6,0.833333] recall 0.866667 [0.8,0.8,1] recall 0.933333 [1,1,0.833333] recall 0.933333 [1,1,0.833333] recall 0.733333 [1,0.6,0.666667] recall 0.933333 [0.75,1,1] recall 0.866667 [0.8,1,0.8] recall 0.8 [0.75,0.6,1] recall 0.8 [1,0.4,1] recall 0.933333 [1,0.8,1] recall 0.8 [0.75,0.8,0.833333] recall 0.933333 [0.8,1,1] recall 0.866667 [0.6,1,1] recall 0.866667 [0.8,1,0.8] recall 1 [1,1,1] recall 0.866667 [1,0.6,1] recall 1 [1,1,1] recall 0.866667 [0.8,1,0.8] recall 0.866667 [0.8,0.8,1] recall 0.8 [1,0.8,0.6] recall 1 [1,1,1] recall 0.8 [1,0.6,0.8] recall 0.933333 [1,0.8,1] recall 0.933333 [0.8,1,1] recall 0.933333 [1,0.8,1] recall 0.866667 [0.8,0.8,1] 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 0.933333 [1,0.8,1] recall 0.933333 [1,0.8,1] recall 0.8 [0.6,1,0.8] recall 0.933333 [0.8,1,1] recall 0.933333 [1,1,0.8] recall 0.933333 [0.8,1,1] recall 1 [1,1,1] recall 0.666667 [0.8,0.4,0.8] recall 0.933333 [1,0.8,1] recall 0.866667 [0.6,1,1] recall 0.8 [1,0.4,1] recall 0.933333 [0.8,1,1] recall 0.933333 [1,1,0.8] recall 0.8 [0.8,1,0.6] recall 0.8 [1,0.6,0.8] recall 0.666667 [0.4,0.6,1] recall 0.8 [0.8,0.6,1] recall 0.866667 [1,0.6,1] recall 0.933333 [1,0.8,1] recall 1 [1,1,1] recall 0.866667 [0.8,0.8,1] recall 0.933333 [0.8,1,1] recall 0.933333 [1,1,0.8] recall 0.866667 [1,0.6,1] recall 0.933333 [0.8,1,1] recall 0.8 [1,0.6,0.8] recall 0.866667 [1,0.8,0.8] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.866667 [1,1,0.6] 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 0.8 [0.8,0.6,1] recall 0.933333 [0.8,1,1] recall 0.866667 [0.8,0.8,1] 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 0.866667 [0.6,1,1] recall 0.866667 [0.8,1,0.8] 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 0.866667 [0.6,1,1] recall 0.933333 [0.8,1,1] recall 0.933333 [1,0.8,1] recall 1 [1,1,1] recall 0.933333 [0.8,1,1] recall 0.866667 [0.8,0.8,1] recall 1 [1,1,1] 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 0.866667 [0.6,1,1] relative_absolute_error 0.800354 relative_absolute_error 0.233787 relative_absolute_error 0.343835 relative_absolute_error 0.313725 relative_absolute_error 0.438003 relative_absolute_error 0.343245 relative_absolute_error 0.378405 relative_absolute_error 0.229466 relative_absolute_error 0.256235 relative_absolute_error 0.31348 relative_absolute_error 0.320315 relative_absolute_error 0.193392 relative_absolute_error 0.239607 relative_absolute_error 0.45779 relative_absolute_error 0.199714 relative_absolute_error 0.420172 relative_absolute_error 0.258849 relative_absolute_error 0.382791 relative_absolute_error 0.257754 relative_absolute_error 0.350928 relative_absolute_error 0.174517 relative_absolute_error 0.27322 relative_absolute_error 0.329541 relative_absolute_error 0.114776 relative_absolute_error 0.314183 relative_absolute_error 0.175613 relative_absolute_error 0.357743 relative_absolute_error 0.307223 relative_absolute_error 0.308146 relative_absolute_error 0.090887 relative_absolute_error 0.358418 relative_absolute_error 0.177393 relative_absolute_error 0.177875 relative_absolute_error 0.256184 relative_absolute_error 0.231562 relative_absolute_error 0.492365 relative_absolute_error 0.450061 relative_absolute_error 0.214253 relative_absolute_error 0.262521 relative_absolute_error 0.283185 relative_absolute_error 0.346355 relative_absolute_error 0.294932 relative_absolute_error 0.232451 relative_absolute_error 0.214695 relative_absolute_error 0.179253 relative_absolute_error 0.522204 relative_absolute_error 0.216153 relative_absolute_error 0.258262 relative_absolute_error 0.341925 relative_absolute_error 0.333237 relative_absolute_error 0.236224 relative_absolute_error 0.354098 relative_absolute_error 0.290729 relative_absolute_error 0.453535 relative_absolute_error 0.337573 relative_absolute_error 0.363742 relative_absolute_error 0.238746 relative_absolute_error 0.146361 relative_absolute_error 0.297787 relative_absolute_error 0.152284 relative_absolute_error 0.19279 relative_absolute_error 0.262102 relative_absolute_error 0.269649 relative_absolute_error 0.390109 relative_absolute_error 0.281993 relative_absolute_error 0.11596 relative_absolute_error 0.195309 relative_absolute_error 0.214231 relative_absolute_error 0.178389 relative_absolute_error 0.480519 relative_absolute_error 0.3469 relative_absolute_error 0.347571 relative_absolute_error 0.193248 relative_absolute_error 0.339415 relative_absolute_error 0.244437 relative_absolute_error 0.157881 relative_absolute_error 0.291546 relative_absolute_error 0.401734 relative_absolute_error 0.286361 relative_absolute_error 0.340133 relative_absolute_error 0.382786 relative_absolute_error 0.353447 relative_absolute_error 0.315148 relative_absolute_error 0.201365 relative_absolute_error 0.266862 relative_absolute_error 0.156615 relative_absolute_error 0.226226 relative_absolute_error 0.260519 relative_absolute_error 0.307557 relative_absolute_error 0.262804 relative_absolute_error 0.101131 relative_absolute_error 0.244066 relative_absolute_error 0.338489 relative_absolute_error 0.1383 relative_absolute_error 0.151714 relative_absolute_error 0.239702 relative_absolute_error 0.253861 relative_absolute_error 0.295343 relative_absolute_error 0.268532 relative_absolute_error 0.333164 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 0.472114 root_mean_squared_error 0.212633 root_mean_squared_error 0.283906 root_mean_squared_error 0.249506 root_mean_squared_error 0.348069 root_mean_squared_error 0.273822 root_mean_squared_error 0.331099 root_mean_squared_error 0.235384 root_mean_squared_error 0.231126 root_mean_squared_error 0.299355 root_mean_squared_error 0.295515 root_mean_squared_error 0.225579 root_mean_squared_error 0.192443 root_mean_squared_error 0.373211 root_mean_squared_error 0.202891 root_mean_squared_error 0.317395 root_mean_squared_error 0.265126 root_mean_squared_error 0.293964 root_mean_squared_error 0.200361 root_mean_squared_error 0.317618 root_mean_squared_error 0.172656 root_mean_squared_error 0.25823 root_mean_squared_error 0.281281 root_mean_squared_error 0.0919 root_mean_squared_error 0.224723 root_mean_squared_error 0.138275 root_mean_squared_error 0.261323 root_mean_squared_error 0.289672 root_mean_squared_error 0.280269 root_mean_squared_error 0.05687 root_mean_squared_error 0.329483 root_mean_squared_error 0.202178 root_mean_squared_error 0.186238 root_mean_squared_error 0.215949 root_mean_squared_error 0.187803 root_mean_squared_error 0.376014 root_mean_squared_error 0.325056 root_mean_squared_error 0.20555 root_mean_squared_error 0.219514 root_mean_squared_error 0.230833 root_mean_squared_error 0.275462 root_mean_squared_error 0.23359 root_mean_squared_error 0.228508 root_mean_squared_error 0.191155 root_mean_squared_error 0.118233 root_mean_squared_error 0.386036 root_mean_squared_error 0.203976 root_mean_squared_error 0.241951 root_mean_squared_error 0.304234 root_mean_squared_error 0.252048 root_mean_squared_error 0.235851 root_mean_squared_error 0.275544 root_mean_squared_error 0.270653 root_mean_squared_error 0.366048 root_mean_squared_error 0.30927 root_mean_squared_error 0.264626 root_mean_squared_error 0.213506 root_mean_squared_error 0.117888 root_mean_squared_error 0.277662 root_mean_squared_error 0.142384 root_mean_squared_error 0.153898 root_mean_squared_error 0.241904 root_mean_squared_error 0.221184 root_mean_squared_error 0.308959 root_mean_squared_error 0.265839 root_mean_squared_error 0.084824 root_mean_squared_error 0.163178 root_mean_squared_error 0.217901 root_mean_squared_error 0.145124 root_mean_squared_error 0.350624 root_mean_squared_error 0.247556 root_mean_squared_error 0.279825 root_mean_squared_error 0.1949 root_mean_squared_error 0.280065 root_mean_squared_error 0.221017 root_mean_squared_error 0.112984 root_mean_squared_error 0.276071 root_mean_squared_error 0.324937 root_mean_squared_error 0.289982 root_mean_squared_error 0.281337 root_mean_squared_error 0.332563 root_mean_squared_error 0.293625 root_mean_squared_error 0.275819 root_mean_squared_error 0.215012 root_mean_squared_error 0.283781 root_mean_squared_error 0.172242 root_mean_squared_error 0.182651 root_mean_squared_error 0.245249 root_mean_squared_error 0.245557 root_mean_squared_error 0.214907 root_mean_squared_error 0.085873 root_mean_squared_error 0.214526 root_mean_squared_error 0.293232 root_mean_squared_error 0.093744 root_mean_squared_error 0.104003 root_mean_squared_error 0.240051 root_mean_squared_error 0.24499 root_mean_squared_error 0.21105 root_mean_squared_error 0.199339 root_mean_squared_error 0.286518 root_relative_squared_error 1.002374 root_relative_squared_error 0.451455 root_relative_squared_error 0.602778 root_relative_squared_error 0.529742 root_relative_squared_error 0.739008 root_relative_squared_error 0.581368 root_relative_squared_error 0.702976 root_relative_squared_error 0.499758 root_relative_squared_error 0.490717 root_relative_squared_error 0.63558 root_relative_squared_error 0.626789 root_relative_squared_error 0.47939 root_relative_squared_error 0.408971 root_relative_squared_error 0.793129 root_relative_squared_error 0.431175 root_relative_squared_error 0.673197 root_relative_squared_error 0.563433 root_relative_squared_error 0.623499 root_relative_squared_error 0.424967 root_relative_squared_error 0.674985 root_relative_squared_error 0.366204 root_relative_squared_error 0.547709 root_relative_squared_error 0.596598 root_relative_squared_error 0.194921 root_relative_squared_error 0.476639 root_relative_squared_error 0.293283 root_relative_squared_error 0.554269 root_relative_squared_error 0.614396 root_relative_squared_error 0.594453 root_relative_squared_error 0.120622 root_relative_squared_error 0.698836 root_relative_squared_error 0.428821 root_relative_squared_error 0.395012 root_relative_squared_error 0.458028 root_relative_squared_error 0.398332 root_relative_squared_error 0.797529 root_relative_squared_error 0.689447 root_relative_squared_error 0.435972 root_relative_squared_error 0.46559 root_relative_squared_error 0.489598 root_relative_squared_error 0.584257 root_relative_squared_error 0.495446 root_relative_squared_error 0.484666 root_relative_squared_error 0.405442 root_relative_squared_error 0.250772 root_relative_squared_error 0.818785 root_relative_squared_error 0.432636 root_relative_squared_error 0.51318 root_relative_squared_error 0.645283 root_relative_squared_error 0.534596 root_relative_squared_error 0.500242 root_relative_squared_error 0.584432 root_relative_squared_error 0.574056 root_relative_squared_error 0.77639 root_relative_squared_error 0.655965 root_relative_squared_error 0.561274 root_relative_squared_error 0.452849 root_relative_squared_error 0.25004 root_relative_squared_error 0.588923 root_relative_squared_error 0.301997 root_relative_squared_error 0.32642 root_relative_squared_error 0.51308 root_relative_squared_error 0.469132 root_relative_squared_error 0.655304 root_relative_squared_error 0.563847 root_relative_squared_error 0.179913 root_relative_squared_error 0.346103 root_relative_squared_error 0.462169 root_relative_squared_error 0.307809 root_relative_squared_error 0.743677 root_relative_squared_error 0.525068 root_relative_squared_error 0.593512 root_relative_squared_error 0.413384 root_relative_squared_error 0.594021 root_relative_squared_error 0.46878 root_relative_squared_error 0.23964 root_relative_squared_error 0.585548 root_relative_squared_error 0.689194 root_relative_squared_error 0.615055 root_relative_squared_error 0.596717 root_relative_squared_error 0.705369 root_relative_squared_error 0.62278 root_relative_squared_error 0.585015 root_relative_squared_error 0.456042 root_relative_squared_error 0.601901 root_relative_squared_error 0.365327 root_relative_squared_error 0.387405 root_relative_squared_error 0.520174 root_relative_squared_error 0.520828 root_relative_squared_error 0.45582 root_relative_squared_error 0.182494 root_relative_squared_error 0.455011 root_relative_squared_error 0.621947 root_relative_squared_error 0.198832 root_relative_squared_error 0.220591 root_relative_squared_error 0.510144 root_relative_squared_error 0.519626 root_relative_squared_error 0.448512 root_relative_squared_error 0.423624 root_relative_squared_error 0.607707 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 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 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