364895 2 Joaquin Vanschoren 4432 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_3.7.12 863 fri_c4_250_10 https://www.openml.org/data/download/53397/fri_c4_250_10.arff -1 1263760 description https://api.openml.org/data/download/1263760/weka_generated_run8265343632294062995.xml -1 1263763 model_readable https://api.openml.org/data/download/1263763/WekaModel_weka.classifiers.bayes.BayesNet1254117918251843197.model -1 1263762 model_serialized https://api.openml.org/data/download/1263762/WekaSerialized_weka.classifiers.bayes.BayesNet2078728443666658961.model -1 1263761 predictions https://api.openml.org/data/download/1263761/weka_generated_predictions3313003153954322481.arff area_under_roc_curve 0.849579 [0.849579,0.849579] average_cost 0 f_measure 0.762148 [0.742411,0.77951] kappa 0.52201 kb_relative_information_score 1066.518001 mean_absolute_error 0.295797 mean_prior_absolute_error 0.497968 number_of_instances 2500 [1170,1330] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.762179 [0.753521,0.769795] predictive_accuracy 0.7624 prior_entropy 0.99709 recall 0.7624 [0.731624,0.789474] relative_absolute_error 0.594008 root_mean_prior_squared_error 0.498975 root_mean_squared_error 0.397351 root_relative_squared_error 0.796334 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 0.704545 [0.704545,0.704545] area_under_roc_curve 0.886364 [0.886364,0.886364] area_under_roc_curve 0.892857 [0.892857,0.892857] area_under_roc_curve 0.840909 [0.840909,0.840909] area_under_roc_curve 0.928571 [0.928571,0.928571] area_under_roc_curve 0.807692 [0.807692,0.807692] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.840909 [0.840909,0.840909] area_under_roc_curve 0.698718 [0.698718,0.698718] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.737013 [0.737013,0.737013] area_under_roc_curve 0.717532 [0.717532,0.717532] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.840909 [0.840909,0.840909] area_under_roc_curve 0.915584 [0.915584,0.915584] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.971154 [0.971154,0.971154] area_under_roc_curve 0.863636 [0.863636,0.863636] area_under_roc_curve 0.785256 [0.785256,0.785256] area_under_roc_curve 0.887821 [0.887821,0.887821] area_under_roc_curve 0.922078 [0.922078,0.922078] area_under_roc_curve 0.785714 [0.785714,0.785714] area_under_roc_curve 0.905844 [0.905844,0.905844] area_under_roc_curve 0.678571 [0.678571,0.678571] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.929487 [0.929487,0.929487] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.818182 [0.818182,0.818182] area_under_roc_curve 0.887821 [0.887821,0.887821] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.759615 [0.759615,0.759615] area_under_roc_curve 0.88141 [0.88141,0.88141] area_under_roc_curve 0.823718 [0.823718,0.823718] area_under_roc_curve 0.772436 [0.772436,0.772436] area_under_roc_curve 0.948718 [0.948718,0.948718] area_under_roc_curve 0.769231 [0.769231,0.769231] area_under_roc_curve 0.935897 [0.935897,0.935897] area_under_roc_curve 0.910256 [0.910256,0.910256] area_under_roc_curve 0.865385 [0.865385,0.865385] area_under_roc_curve 0.855769 [0.855769,0.855769] area_under_roc_curve 0.974359 [0.974359,0.974359] area_under_roc_curve 0.939103 [0.939103,0.939103] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.772436 [0.772436,0.772436] area_under_roc_curve 0.913462 [0.913462,0.913462] area_under_roc_curve 0.849359 [0.849359,0.849359] area_under_roc_curve 0.74359 [0.74359,0.74359] area_under_roc_curve 0.836538 [0.836538,0.836538] area_under_roc_curve 0.926282 [0.926282,0.926282] area_under_roc_curve 0.766026 [0.766026,0.766026] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.99359 [0.99359,0.99359] area_under_roc_curve 0.785256 [0.785256,0.785256] area_under_roc_curve 0.846154 [0.846154,0.846154] area_under_roc_curve 0.99359 [0.99359,0.99359] area_under_roc_curve 0.814103 [0.814103,0.814103] area_under_roc_curve 0.910256 [0.910256,0.910256] area_under_roc_curve 0.971154 [0.971154,0.971154] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.766026 [0.766026,0.766026] area_under_roc_curve 0.823718 [0.823718,0.823718] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.903846 [0.903846,0.903846] area_under_roc_curve 0.817308 [0.817308,0.817308] area_under_roc_curve 0.900641 [0.900641,0.900641] area_under_roc_curve 0.650641 [0.650641,0.650641] area_under_roc_curve 0.717949 [0.717949,0.717949] area_under_roc_curve 0.794872 [0.794872,0.794872] area_under_roc_curve 0.849359 [0.849359,0.849359] area_under_roc_curve 0.894231 [0.894231,0.894231] area_under_roc_curve 0.679487 [0.679487,0.679487] area_under_roc_curve 0.863636 [0.863636,0.863636] area_under_roc_curve 0.831169 [0.831169,0.831169] area_under_roc_curve 0.852564 [0.852564,0.852564] area_under_roc_curve 0.840909 [0.840909,0.840909] area_under_roc_curve 0.957792 [0.957792,0.957792] area_under_roc_curve 0.935897 [0.935897,0.935897] area_under_roc_curve 0.727564 [0.727564,0.727564] area_under_roc_curve 0.814103 [0.814103,0.814103] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.759615 [0.759615,0.759615] area_under_roc_curve 0.821429 [0.821429,0.821429] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.820513 [0.820513,0.820513] area_under_roc_curve 0.931818 [0.931818,0.931818] area_under_roc_curve 0.866883 [0.866883,0.866883] area_under_roc_curve 0.971154 [0.971154,0.971154] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.772436 [0.772436,0.772436] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.923077 [0.923077,0.923077] area_under_roc_curve 0.967532 [0.967532,0.967532] area_under_roc_curve 0.814935 [0.814935,0.814935] area_under_roc_curve 0.955128 [0.955128,0.955128] area_under_roc_curve 0.808442 [0.808442,0.808442] area_under_roc_curve 0.876623 [0.876623,0.876623] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.718161 [0.666667,0.758621] f_measure 0.84 [0.818182,0.857143] f_measure 0.78574 [0.705882,0.848485] f_measure 0.674667 [0.6,0.733333] f_measure 0.837333 [0.8,0.866667] f_measure 0.669333 [0.6,0.733333] f_measure 0.757662 [0.727273,0.785714] f_measure 0.670649 [0.714286,0.636364] f_measure 0.638841 [0.608696,0.666667] f_measure 0.759231 [0.769231,0.75] f_measure 0.628998 [0.526316,0.709677] f_measure 0.681026 [0.666667,0.692308] f_measure 0.837333 [0.8,0.866667] f_measure 0.76 [0.727273,0.785714] f_measure 0.880386 [0.869565,0.888889] f_measure 0.636522 [0.666667,0.608696] f_measure 0.879614 [0.869565,0.888889] f_measure 0.711443 [0.631579,0.774194] f_measure 0.68 [0.666667,0.692308] f_measure 0.799356 [0.782609,0.814815] f_measure 0.84 [0.818182,0.857143] f_measure 0.711443 [0.631579,0.774194] f_measure 0.879212 [0.857143,0.896552] f_measure 0.681026 [0.666667,0.692308] f_measure 0.879212 [0.857143,0.896552] f_measure 0.796059 [0.761905,0.827586] f_measure 0.752 [0.7,0.8] f_measure 0.72 [0.72,0.72] f_measure 0.799356 [0.782609,0.814815] f_measure 0.705739 [0.631579,0.774194] f_measure 0.68 [0.666667,0.692308] f_measure 0.759231 [0.769231,0.75] f_measure 0.757662 [0.727273,0.785714] f_measure 0.705739 [0.631579,0.774194] f_measure 0.838442 [0.818182,0.857143] f_measure 0.678974 [0.692308,0.666667] f_measure 0.793432 [0.827586,0.761905] f_measure 0.759231 [0.769231,0.75] f_measure 0.838442 [0.818182,0.857143] f_measure 0.789813 [0.736842,0.83871] f_measure 0.92 [0.916667,0.923077] f_measure 0.88 [0.88,0.88] f_measure 0.547059 [0.375,0.705882] f_measure 0.796059 [0.761905,0.827586] f_measure 0.76 [0.75,0.769231] f_measure 0.719098 [0.695652,0.740741] f_measure 0.673766 [0.714286,0.636364] f_measure 0.8 [0.8,0.8] f_measure 0.796059 [0.761905,0.827586] f_measure 0.598718 [0.615385,0.583333] f_measure 0.714483 [0.666667,0.758621] f_measure 0.796059 [0.761905,0.827586] f_measure 0.64 [0.64,0.64] f_measure 0.714483 [0.666667,0.758621] f_measure 0.714483 [0.666667,0.758621] f_measure 0.96 [0.96,0.96] f_measure 0.638841 [0.608696,0.666667] f_measure 0.752 [0.7,0.8] f_measure 0.834667 [0.8,0.866667] f_measure 0.76 [0.75,0.769231] f_measure 0.838442 [0.818182,0.857143] f_measure 0.879614 [0.869565,0.888889] f_measure 0.84 [0.833333,0.846154] f_measure 0.673766 [0.714286,0.636364] f_measure 0.799356 [0.782609,0.814815] f_measure 0.757662 [0.727273,0.785714] f_measure 0.759231 [0.769231,0.75] f_measure 0.76 [0.75,0.769231] f_measure 0.798068 [0.814815,0.782609] f_measure 0.632906 [0.571429,0.689655] f_measure 0.636522 [0.666667,0.608696] f_measure 0.64 [0.64,0.64] f_measure 0.759231 [0.769231,0.75] f_measure 0.839487 [0.846154,0.833333] f_measure 0.515325 [0.454545,0.571429] f_measure 0.78574 [0.705882,0.848485] f_measure 0.720902 [0.695652,0.740741] f_measure 0.84 [0.833333,0.846154] f_measure 0.88 [0.88,0.88] f_measure 0.796779 [0.814815,0.782609] f_measure 0.798068 [0.814815,0.782609] f_measure 0.664 [0.733333,0.6] f_measure 0.719098 [0.695652,0.740741] f_measure 0.839487 [0.846154,0.833333] f_measure 0.58 [0.666667,0.5] f_measure 0.760769 [0.75,0.769231] f_measure 0.879212 [0.857143,0.896552] f_measure 0.719098 [0.695652,0.740741] f_measure 0.840513 [0.833333,0.846154] f_measure 0.756 [0.7,0.8] f_measure 0.92 [0.916667,0.923077] f_measure 0.838442 [0.818182,0.857143] f_measure 0.755325 [0.785714,0.727273] f_measure 0.68 [0.666667,0.692308] f_measure 0.799356 [0.782609,0.814815] f_measure 0.880386 [0.869565,0.888889] f_measure 0.718161 [0.666667,0.758621] f_measure 0.84 [0.833333,0.846154] f_measure 0.718161 [0.666667,0.758621] f_measure 0.793888 [0.736842,0.83871] kappa 0.42623 kappa 0.675325 kappa 0.573379 kappa 0.337748 kappa 0.668874 kappa 0.350649 kappa 0.516129 kappa 0.386503 kappa 0.276527 kappa 0.522293 kappa 0.247492 kappa 0.363057 kappa 0.668874 kappa 0.512987 kappa 0.758842 kappa 0.285714 kappa 0.758842 kappa 0.414716 kappa 0.358974 kappa 0.598071 kappa 0.675325 kappa 0.414716 kappa 0.754098 kappa 0.363057 kappa 0.754098 kappa 0.595469 kappa 0.512987 kappa 0.44795 kappa 0.598071 kappa 0.429967 kappa 0.358974 kappa 0.522293 kappa 0.516129 kappa 0.429967 kappa 0.677419 kappa 0.363057 kappa 0.605678 kappa 0.522293 kappa 0.677419 kappa 0.592834 kappa 0.839744 kappa 0.760383 kappa 0.177632 kappa 0.595469 kappa 0.519231 kappa 0.437299 kappa 0.367089 kappa 0.600639 kappa 0.595469 kappa 0.203822 kappa 0.433657 kappa 0.595469 kappa 0.28115 kappa 0.433657 kappa 0.433657 kappa 0.920128 kappa 0.276527 kappa 0.512987 kappa 0.675325 kappa 0.519231 kappa 0.677419 kappa 0.758842 kappa 0.679487 kappa 0.367089 kappa 0.598071 kappa 0.516129 kappa 0.522293 kappa 0.519231 kappa 0.603175 kappa 0.271845 kappa 0.285714 kappa 0.28115 kappa 0.522293 kappa 0.681529 kappa 0.032258 kappa 0.573379 kappa 0.437299 kappa 0.679487 kappa 0.763407 kappa 0.613003 kappa 0.603175 kappa 0.371069 kappa 0.437299 kappa 0.681529 kappa 0.213836 kappa 0.522293 kappa 0.754098 kappa 0.437299 kappa 0.681529 kappa 0.503311 kappa 0.839744 kappa 0.677419 kappa 0.525316 kappa 0.358974 kappa 0.598071 kappa 0.758842 kappa 0.42623 kappa 0.679487 kappa 0.42623 kappa 0.58194 kb_relative_information_score 6.9886 kb_relative_information_score 12.624708 kb_relative_information_score 13.206627 kb_relative_information_score 9.88639 kb_relative_information_score 11.709012 kb_relative_information_score 9.080483 kb_relative_information_score 9.00344 kb_relative_information_score 9.166788 kb_relative_information_score 6.382896 kb_relative_information_score 13.109805 kb_relative_information_score 7.067829 kb_relative_information_score 6.624843 kb_relative_information_score 12.015919 kb_relative_information_score 11.360736 kb_relative_information_score 12.845614 kb_relative_information_score 7.881896 kb_relative_information_score 14.999135 kb_relative_information_score 11.429881 kb_relative_information_score 8.380363 kb_relative_information_score 12.304507 kb_relative_information_score 14.447536 kb_relative_information_score 8.232118 kb_relative_information_score 13.034935 kb_relative_information_score 4.222059 kb_relative_information_score 13.472819 kb_relative_information_score 13.007889 kb_relative_information_score 10.151121 kb_relative_information_score 9.083294 kb_relative_information_score 11.880567 kb_relative_information_score 8.737208 kb_relative_information_score 7.670874 kb_relative_information_score 11.621873 kb_relative_information_score 11.119079 kb_relative_information_score 8.942798 kb_relative_information_score 15.113236 kb_relative_information_score 8.526781 kb_relative_information_score 13.109798 kb_relative_information_score 12.529004 kb_relative_information_score 11.23496 kb_relative_information_score 10.254918 kb_relative_information_score 15.007876 kb_relative_information_score 13.531588 kb_relative_information_score 3.112471 kb_relative_information_score 10.924051 kb_relative_information_score 11.321791 kb_relative_information_score 11.45912 kb_relative_information_score 6.307989 kb_relative_information_score 12.813928 kb_relative_information_score 11.683266 kb_relative_information_score 7.078864 kb_relative_information_score 9.42882 kb_relative_information_score 13.04643 kb_relative_information_score 7.602854 kb_relative_information_score 10.324937 kb_relative_information_score 7.947996 kb_relative_information_score 18.975474 kb_relative_information_score 8.514073 kb_relative_information_score 8.253281 kb_relative_information_score 14.221196 kb_relative_information_score 10.979495 kb_relative_information_score 12.621269 kb_relative_information_score 16.511991 kb_relative_information_score 10.522163 kb_relative_information_score 7.545475 kb_relative_information_score 10.108102 kb_relative_information_score 10.852981 kb_relative_information_score 11.251896 kb_relative_information_score 9.816048 kb_relative_information_score 13.179052 kb_relative_information_score 4.702191 kb_relative_information_score 6.783204 kb_relative_information_score 7.42591 kb_relative_information_score 10.678363 kb_relative_information_score 11.936811 kb_relative_information_score 3.59287 kb_relative_information_score 12.393146 kb_relative_information_score 8.397099 kb_relative_information_score 11.517993 kb_relative_information_score 11.195987 kb_relative_information_score 13.345381 kb_relative_information_score 11.970053 kb_relative_information_score 7.053846 kb_relative_information_score 7.707537 kb_relative_information_score 12.855438 kb_relative_information_score 5.587432 kb_relative_information_score 9.895338 kb_relative_information_score 13.278135 kb_relative_information_score 10.206992 kb_relative_information_score 14.833927 kb_relative_information_score 10.732982 kb_relative_information_score 17.442793 kb_relative_information_score 12.842496 kb_relative_information_score 9.630863 kb_relative_information_score 8.516334 kb_relative_information_score 13.457789 kb_relative_information_score 14.33505 kb_relative_information_score 9.987035 kb_relative_information_score 15.637796 kb_relative_information_score 9.755688 kb_relative_information_score 11.414705 mean_absolute_error 0.36646 mean_absolute_error 0.256615 mean_absolute_error 0.24491 mean_absolute_error 0.305971 mean_absolute_error 0.282286 mean_absolute_error 0.319826 mean_absolute_error 0.328379 mean_absolute_error 0.315364 mean_absolute_error 0.374361 mean_absolute_error 0.245631 mean_absolute_error 0.355817 mean_absolute_error 0.368964 mean_absolute_error 0.268682 mean_absolute_error 0.279201 mean_absolute_error 0.254277 mean_absolute_error 0.349811 mean_absolute_error 0.21686 mean_absolute_error 0.274089 mean_absolute_error 0.339734 mean_absolute_error 0.265826 mean_absolute_error 0.220236 mean_absolute_error 0.33813 mean_absolute_error 0.248817 mean_absolute_error 0.412058 mean_absolute_error 0.241259 mean_absolute_error 0.257501 mean_absolute_error 0.308037 mean_absolute_error 0.323085 mean_absolute_error 0.272775 mean_absolute_error 0.337852 mean_absolute_error 0.352253 mean_absolute_error 0.279166 mean_absolute_error 0.286889 mean_absolute_error 0.331365 mean_absolute_error 0.210522 mean_absolute_error 0.333272 mean_absolute_error 0.250461 mean_absolute_error 0.256683 mean_absolute_error 0.289291 mean_absolute_error 0.310498 mean_absolute_error 0.220893 mean_absolute_error 0.246762 mean_absolute_error 0.441102 mean_absolute_error 0.296696 mean_absolute_error 0.281493 mean_absolute_error 0.275656 mean_absolute_error 0.382661 mean_absolute_error 0.255629 mean_absolute_error 0.277723 mean_absolute_error 0.362822 mean_absolute_error 0.3192 mean_absolute_error 0.250464 mean_absolute_error 0.353535 mean_absolute_error 0.296849 mean_absolute_error 0.349311 mean_absolute_error 0.139485 mean_absolute_error 0.335126 mean_absolute_error 0.347888 mean_absolute_error 0.233265 mean_absolute_error 0.288881 mean_absolute_error 0.262126 mean_absolute_error 0.184945 mean_absolute_error 0.308028 mean_absolute_error 0.355124 mean_absolute_error 0.311536 mean_absolute_error 0.292839 mean_absolute_error 0.285157 mean_absolute_error 0.31611 mean_absolute_error 0.245506 mean_absolute_error 0.411809 mean_absolute_error 0.365464 mean_absolute_error 0.351824 mean_absolute_error 0.294402 mean_absolute_error 0.275016 mean_absolute_error 0.418917 mean_absolute_error 0.258563 mean_absolute_error 0.34174 mean_absolute_error 0.284671 mean_absolute_error 0.291435 mean_absolute_error 0.241424 mean_absolute_error 0.274562 mean_absolute_error 0.364767 mean_absolute_error 0.357619 mean_absolute_error 0.254587 mean_absolute_error 0.391577 mean_absolute_error 0.309715 mean_absolute_error 0.244055 mean_absolute_error 0.303112 mean_absolute_error 0.215711 mean_absolute_error 0.293126 mean_absolute_error 0.16873 mean_absolute_error 0.261645 mean_absolute_error 0.313656 mean_absolute_error 0.334255 mean_absolute_error 0.243831 mean_absolute_error 0.231855 mean_absolute_error 0.298195 mean_absolute_error 0.201326 mean_absolute_error 0.311698 mean_absolute_error 0.280406 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] precision 0.718667 [0.7,0.733333] precision 0.84 [0.818182,0.857143] precision 0.852632 [1,0.736842] precision 0.678333 [0.666667,0.6875] precision 0.846111 [0.888889,0.8125] precision 0.696471 [0.75,0.647059] precision 0.765333 [0.8,0.733333] precision 0.748824 [0.588235,0.875] precision 0.63974 [0.636364,0.642857] precision 0.768312 [0.714286,0.818182] precision 0.637353 [0.625,0.647059] precision 0.690769 [0.615385,0.75] precision 0.846111 [0.888889,0.8125] precision 0.76 [0.727273,0.785714] precision 0.88359 [0.833333,0.923077] precision 0.652 [0.6,0.7] precision 0.882078 [0.909091,0.857143] precision 0.725294 [0.75,0.705882] precision 0.68 [0.666667,0.692308] precision 0.801299 [0.818182,0.785714] precision 0.84 [0.818182,0.857143] precision 0.725294 [0.75,0.705882] precision 0.881333 [0.9,0.866667] precision 0.690769 [0.615385,0.75] precision 0.881333 [0.9,0.866667] precision 0.816667 [0.888889,0.75] precision 0.787059 [0.875,0.705882] precision 0.741039 [0.642857,0.818182] precision 0.801299 [0.818182,0.785714] precision 0.758095 [0.857143,0.666667] precision 0.68 [0.666667,0.692308] precision 0.768312 [0.714286,0.818182] precision 0.765333 [0.8,0.733333] precision 0.758095 [0.857143,0.666667] precision 0.848 [0.9,0.8] precision 0.686753 [0.642857,0.727273] precision 0.858824 [0.705882,1] precision 0.768312 [0.714286,0.818182] precision 0.848 [0.9,0.8] precision 0.855556 [1,0.722222] precision 0.92 [0.916667,0.923077] precision 0.882821 [0.846154,0.916667] precision 0.657143 [0.75,0.571429] precision 0.816667 [0.888889,0.75] precision 0.76 [0.75,0.769231] precision 0.720519 [0.727273,0.714286] precision 0.704444 [0.625,0.777778] precision 0.802564 [0.769231,0.833333] precision 0.816667 [0.888889,0.75] precision 0.605195 [0.571429,0.636364] precision 0.730833 [0.777778,0.6875] precision 0.816667 [0.888889,0.75] precision 0.642051 [0.615385,0.666667] precision 0.730833 [0.777778,0.6875] precision 0.730833 [0.777778,0.6875] precision 0.963077 [0.923077,1] precision 0.63974 [0.636364,0.642857] precision 0.787059 [0.875,0.705882] precision 0.877647 [1,0.764706] precision 0.76 [0.75,0.769231] precision 0.848 [0.9,0.8] precision 0.882078 [0.909091,0.857143] precision 0.84 [0.833333,0.846154] precision 0.704444 [0.625,0.777778] precision 0.801299 [0.818182,0.785714] precision 0.765333 [0.8,0.733333] precision 0.768312 [0.714286,0.818182] precision 0.76 [0.75,0.769231] precision 0.82 [0.733333,0.9] precision 0.645 [0.666667,0.625] precision 0.652 [0.6,0.7] precision 0.642051 [0.615385,0.666667] precision 0.768312 [0.714286,0.818182] precision 0.84987 [0.785714,0.909091] precision 0.517333 [0.5,0.533333] precision 0.852632 [1,0.736842] precision 0.724103 [0.666667,0.769231] precision 0.84 [0.833333,0.846154] precision 0.905714 [0.785714,1] precision 0.8625 [0.6875,1] precision 0.82 [0.733333,0.9] precision 0.739048 [0.611111,0.857143] precision 0.720519 [0.727273,0.714286] precision 0.84987 [0.785714,0.909091] precision 0.638095 [0.555556,0.714286] precision 0.771282 [0.692308,0.833333] precision 0.881333 [0.9,0.866667] precision 0.720519 [0.727273,0.714286] precision 0.851795 [0.769231,0.916667] precision 0.762222 [0.777778,0.75] precision 0.92 [0.916667,0.923077] precision 0.848 [0.9,0.8] precision 0.792222 [0.6875,0.888889] precision 0.68 [0.666667,0.692308] precision 0.801299 [0.818182,0.785714] precision 0.88359 [0.833333,0.923077] precision 0.718667 [0.7,0.733333] precision 0.84 [0.833333,0.846154] precision 0.718667 [0.7,0.733333] precision 0.813235 [0.875,0.764706] predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.88 predictive_accuracy 0.64 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.92 predictive_accuracy 0.88 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.96 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.52 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.6 predictive_accuracy 0.76 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.92 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.8 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 recall 0.72 [0.636364,0.785714] recall 0.84 [0.818182,0.857143] recall 0.8 [0.545455,1] recall 0.68 [0.545455,0.785714] recall 0.84 [0.727273,0.928571] recall 0.68 [0.5,0.846154] recall 0.76 [0.666667,0.846154] recall 0.68 [0.909091,0.5] recall 0.64 [0.583333,0.692308] recall 0.76 [0.833333,0.692308] recall 0.64 [0.454545,0.785714] recall 0.68 [0.727273,0.642857] recall 0.84 [0.727273,0.928571] recall 0.76 [0.727273,0.785714] recall 0.88 [0.909091,0.857143] recall 0.64 [0.75,0.538462] recall 0.88 [0.833333,0.923077] recall 0.72 [0.545455,0.857143] recall 0.68 [0.666667,0.692308] recall 0.8 [0.75,0.846154] recall 0.84 [0.818182,0.857143] recall 0.72 [0.545455,0.857143] recall 0.88 [0.818182,0.928571] recall 0.68 [0.727273,0.642857] recall 0.88 [0.818182,0.928571] recall 0.8 [0.666667,0.923077] recall 0.76 [0.583333,0.923077] recall 0.72 [0.818182,0.642857] recall 0.8 [0.75,0.846154] recall 0.72 [0.5,0.923077] recall 0.68 [0.666667,0.692308] recall 0.76 [0.833333,0.692308] recall 0.76 [0.666667,0.846154] recall 0.72 [0.5,0.923077] recall 0.84 [0.75,0.923077] recall 0.68 [0.75,0.615385] recall 0.8 [1,0.615385] recall 0.76 [0.833333,0.692308] recall 0.84 [0.75,0.923077] recall 0.8 [0.583333,1] recall 0.92 [0.916667,0.923077] recall 0.88 [0.916667,0.846154] recall 0.6 [0.25,0.923077] recall 0.8 [0.666667,0.923077] recall 0.76 [0.75,0.769231] recall 0.72 [0.666667,0.769231] recall 0.68 [0.833333,0.538462] recall 0.8 [0.833333,0.769231] recall 0.8 [0.666667,0.923077] recall 0.6 [0.666667,0.538462] recall 0.72 [0.583333,0.846154] recall 0.8 [0.666667,0.923077] recall 0.64 [0.666667,0.615385] recall 0.72 [0.583333,0.846154] recall 0.72 [0.583333,0.846154] recall 0.96 [1,0.923077] recall 0.64 [0.583333,0.692308] recall 0.76 [0.583333,0.923077] recall 0.84 [0.666667,1] recall 0.76 [0.75,0.769231] recall 0.84 [0.75,0.923077] recall 0.88 [0.833333,0.923077] recall 0.84 [0.833333,0.846154] recall 0.68 [0.833333,0.538462] recall 0.8 [0.75,0.846154] recall 0.76 [0.666667,0.846154] recall 0.76 [0.833333,0.692308] recall 0.76 [0.75,0.769231] recall 0.8 [0.916667,0.692308] recall 0.64 [0.5,0.769231] recall 0.64 [0.75,0.538462] recall 0.64 [0.666667,0.615385] recall 0.76 [0.833333,0.692308] recall 0.84 [0.916667,0.769231] recall 0.52 [0.416667,0.615385] recall 0.8 [0.545455,1] recall 0.72 [0.727273,0.714286] recall 0.84 [0.833333,0.846154] recall 0.88 [1,0.785714] recall 0.8 [1,0.642857] recall 0.8 [0.916667,0.692308] recall 0.68 [0.916667,0.461538] recall 0.72 [0.666667,0.769231] recall 0.84 [0.916667,0.769231] recall 0.6 [0.833333,0.384615] recall 0.76 [0.818182,0.714286] recall 0.88 [0.818182,0.928571] recall 0.72 [0.666667,0.769231] recall 0.84 [0.909091,0.785714] recall 0.76 [0.636364,0.857143] recall 0.92 [0.916667,0.923077] recall 0.84 [0.75,0.923077] recall 0.76 [0.916667,0.615385] recall 0.68 [0.666667,0.692308] recall 0.8 [0.75,0.846154] recall 0.88 [0.909091,0.857143] recall 0.72 [0.636364,0.785714] recall 0.84 [0.833333,0.846154] recall 0.72 [0.636364,0.785714] recall 0.8 [0.636364,0.928571] relative_absolute_error 0.738547 relative_absolute_error 0.517171 relative_absolute_error 0.493582 relative_absolute_error 0.616641 relative_absolute_error 0.568906 relative_absolute_error 0.641281 relative_absolute_error 0.65843 relative_absolute_error 0.63557 relative_absolute_error 0.750627 relative_absolute_error 0.492513 relative_absolute_error 0.717098 relative_absolute_error 0.743594 relative_absolute_error 0.54149 relative_absolute_error 0.562689 relative_absolute_error 0.512458 relative_absolute_error 0.701403 relative_absolute_error 0.434824 relative_absolute_error 0.552386 relative_absolute_error 0.681198 relative_absolute_error 0.533006 relative_absolute_error 0.443854 relative_absolute_error 0.681451 relative_absolute_error 0.501455 relative_absolute_error 0.830444 relative_absolute_error 0.486223 relative_absolute_error 0.516314 relative_absolute_error 0.617643 relative_absolute_error 0.651131 relative_absolute_error 0.54694 relative_absolute_error 0.677425 relative_absolute_error 0.706299 relative_absolute_error 0.559753 relative_absolute_error 0.575239 relative_absolute_error 0.664417 relative_absolute_error 0.422115 relative_absolute_error 0.668241 relative_absolute_error 0.502198 relative_absolute_error 0.514673 relative_absolute_error 0.580055 relative_absolute_error 0.622578 relative_absolute_error 0.442912 relative_absolute_error 0.49478 relative_absolute_error 0.88445 relative_absolute_error 0.594903 relative_absolute_error 0.56442 relative_absolute_error 0.552716 relative_absolute_error 0.767272 relative_absolute_error 0.512559 relative_absolute_error 0.556861 relative_absolute_error 0.727492 relative_absolute_error 0.640026 relative_absolute_error 0.502203 relative_absolute_error 0.708871 relative_absolute_error 0.59521 relative_absolute_error 0.700402 relative_absolute_error 0.279679 relative_absolute_error 0.671959 relative_absolute_error 0.697549 relative_absolute_error 0.467718 relative_absolute_error 0.579234 relative_absolute_error 0.525587 relative_absolute_error 0.370832 relative_absolute_error 0.617625 relative_absolute_error 0.712055 relative_absolute_error 0.624659 relative_absolute_error 0.587169 relative_absolute_error 0.571767 relative_absolute_error 0.63383 relative_absolute_error 0.492262 relative_absolute_error 0.825715 relative_absolute_error 0.732788 relative_absolute_error 0.70544 relative_absolute_error 0.590302 relative_absolute_error 0.551433 relative_absolute_error 0.839967 relative_absolute_error 0.521095 relative_absolute_error 0.688727 relative_absolute_error 0.570791 relative_absolute_error 0.587344 relative_absolute_error 0.486556 relative_absolute_error 0.550522 relative_absolute_error 0.731392 relative_absolute_error 0.717059 relative_absolute_error 0.510471 relative_absolute_error 0.785149 relative_absolute_error 0.624186 relative_absolute_error 0.491857 relative_absolute_error 0.607767 relative_absolute_error 0.434734 relative_absolute_error 0.590753 relative_absolute_error 0.33832 relative_absolute_error 0.524622 relative_absolute_error 0.62891 relative_absolute_error 0.670212 relative_absolute_error 0.488904 relative_absolute_error 0.46727 relative_absolute_error 0.600968 relative_absolute_error 0.403678 relative_absolute_error 0.628183 relative_absolute_error 0.565118 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_squared_error 0.459322 root_mean_squared_error 0.369368 root_mean_squared_error 0.367792 root_mean_squared_error 0.394012 root_mean_squared_error 0.335702 root_mean_squared_error 0.434314 root_mean_squared_error 0.408849 root_mean_squared_error 0.421512 root_mean_squared_error 0.470071 root_mean_squared_error 0.35872 root_mean_squared_error 0.477306 root_mean_squared_error 0.478951 root_mean_squared_error 0.359943 root_mean_squared_error 0.403558 root_mean_squared_error 0.345345 root_mean_squared_error 0.439768 root_mean_squared_error 0.288598 root_mean_squared_error 0.39738 root_mean_squared_error 0.43212 root_mean_squared_error 0.372937 root_mean_squared_error 0.31894 root_mean_squared_error 0.443643 root_mean_squared_error 0.345703 root_mean_squared_error 0.480893 root_mean_squared_error 0.328251 root_mean_squared_error 0.339197 root_mean_squared_error 0.421511 root_mean_squared_error 0.443608 root_mean_squared_error 0.377263 root_mean_squared_error 0.433481 root_mean_squared_error 0.447269 root_mean_squared_error 0.372062 root_mean_squared_error 0.418305 root_mean_squared_error 0.458645 root_mean_squared_error 0.321444 root_mean_squared_error 0.445954 root_mean_squared_error 0.341653 root_mean_squared_error 0.357082 root_mean_squared_error 0.39498 root_mean_squared_error 0.386072 root_mean_squared_error 0.283816 root_mean_squared_error 0.32591 root_mean_squared_error 0.509509 root_mean_squared_error 0.384573 root_mean_squared_error 0.419442 root_mean_squared_error 0.407389 root_mean_squared_error 0.463495 root_mean_squared_error 0.345378 root_mean_squared_error 0.395596 root_mean_squared_error 0.466061 root_mean_squared_error 0.420837 root_mean_squared_error 0.343486 root_mean_squared_error 0.463481 root_mean_squared_error 0.426384 root_mean_squared_error 0.442637 root_mean_squared_error 0.20592 root_mean_squared_error 0.427357 root_mean_squared_error 0.410348 root_mean_squared_error 0.30552 root_mean_squared_error 0.41966 root_mean_squared_error 0.366958 root_mean_squared_error 0.271896 root_mean_squared_error 0.383942 root_mean_squared_error 0.454066 root_mean_squared_error 0.410957 root_mean_squared_error 0.388172 root_mean_squared_error 0.375896 root_mean_squared_error 0.407934 root_mean_squared_error 0.359983 root_mean_squared_error 0.519275 root_mean_squared_error 0.490939 root_mean_squared_error 0.453654 root_mean_squared_error 0.384155 root_mean_squared_error 0.345518 root_mean_squared_error 0.536711 root_mean_squared_error 0.337246 root_mean_squared_error 0.424495 root_mean_squared_error 0.387751 root_mean_squared_error 0.367745 root_mean_squared_error 0.328731 root_mean_squared_error 0.347994 root_mean_squared_error 0.467607 root_mean_squared_error 0.414044 root_mean_squared_error 0.337412 root_mean_squared_error 0.484966 root_mean_squared_error 0.404647 root_mean_squared_error 0.337276 root_mean_squared_error 0.414562 root_mean_squared_error 0.304832 root_mean_squared_error 0.394925 root_mean_squared_error 0.25116 root_mean_squared_error 0.345412 root_mean_squared_error 0.411267 root_mean_squared_error 0.447927 root_mean_squared_error 0.33907 root_mean_squared_error 0.290468 root_mean_squared_error 0.433381 root_mean_squared_error 0.283254 root_mean_squared_error 0.424559 root_mean_squared_error 0.377782 root_relative_squared_error 0.923835 root_relative_squared_error 0.742911 root_relative_squared_error 0.739741 root_relative_squared_error 0.792476 root_relative_squared_error 0.675199 root_relative_squared_error 0.869083 root_relative_squared_error 0.818128 root_relative_squared_error 0.847788 root_relative_squared_error 0.940635 root_relative_squared_error 0.717816 root_relative_squared_error 0.960006 root_relative_squared_error 0.963315 root_relative_squared_error 0.723954 root_relative_squared_error 0.811677 root_relative_squared_error 0.694594 root_relative_squared_error 0.879998 root_relative_squared_error 0.577499 root_relative_squared_error 0.799252 root_relative_squared_error 0.864692 root_relative_squared_error 0.746265 root_relative_squared_error 0.641485 root_relative_squared_error 0.8923 root_relative_squared_error 0.695312 root_relative_squared_error 0.96722 root_relative_squared_error 0.660213 root_relative_squared_error 0.67875 root_relative_squared_error 0.843464 root_relative_squared_error 0.89223 root_relative_squared_error 0.754923 root_relative_squared_error 0.867416 root_relative_squared_error 0.895008 root_relative_squared_error 0.744515 root_relative_squared_error 0.837048 root_relative_squared_error 0.917771 root_relative_squared_error 0.643225 root_relative_squared_error 0.892375 root_relative_squared_error 0.683665 root_relative_squared_error 0.714538 root_relative_squared_error 0.790373 root_relative_squared_error 0.77255 root_relative_squared_error 0.56793 root_relative_squared_error 0.652162 root_relative_squared_error 1.019552 root_relative_squared_error 0.769549 root_relative_squared_error 0.839325 root_relative_squared_error 0.815205 root_relative_squared_error 0.927477 root_relative_squared_error 0.691119 root_relative_squared_error 0.791607 root_relative_squared_error 0.932612 root_relative_squared_error 0.842116 root_relative_squared_error 0.687333 root_relative_squared_error 0.927449 root_relative_squared_error 0.853214 root_relative_squared_error 0.885737 root_relative_squared_error 0.412057 root_relative_squared_error 0.855162 root_relative_squared_error 0.821127 root_relative_squared_error 0.61136 root_relative_squared_error 0.839759 root_relative_squared_error 0.734301 root_relative_squared_error 0.544078 root_relative_squared_error 0.768286 root_relative_squared_error 0.908608 root_relative_squared_error 0.822345 root_relative_squared_error 0.776752 root_relative_squared_error 0.752187 root_relative_squared_error 0.816296 root_relative_squared_error 0.720344 root_relative_squared_error 1.039095 root_relative_squared_error 0.982392 root_relative_squared_error 0.907784 root_relative_squared_error 0.768713 root_relative_squared_error 0.691398 root_relative_squared_error 1.073985 root_relative_squared_error 0.678304 root_relative_squared_error 0.853787 root_relative_squared_error 0.775909 root_relative_squared_error 0.739646 root_relative_squared_error 0.661177 root_relative_squared_error 0.696352 root_relative_squared_error 0.935705 root_relative_squared_error 0.828523 root_relative_squared_error 0.675178 root_relative_squared_error 0.970441 root_relative_squared_error 0.813867 root_relative_squared_error 0.678365 root_relative_squared_error 0.829558 root_relative_squared_error 0.61311 root_relative_squared_error 0.794314 root_relative_squared_error 0.502584 root_relative_squared_error 0.691187 root_relative_squared_error 0.822966 root_relative_squared_error 0.896324 root_relative_squared_error 0.678496 root_relative_squared_error 0.58422 root_relative_squared_error 0.871659 root_relative_squared_error 0.566805 root_relative_squared_error 0.853916 root_relative_squared_error 0.759834 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 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 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 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 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 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 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 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 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 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 10 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0