439337 2 Joaquin Vanschoren 4501 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2066 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 160 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 160 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 933 fri_c4_250_25 https://www.openml.org/data/download/53467/fri_c4_250_25.arff -1 1537161 description https://api.openml.org/data/download/1537161/weka_generated_run6777477572971025643.xml -1 1537163 model_readable https://api.openml.org/data/download/1537163/WekaModel_weka.classifiers.meta.RotationForest3024076182523252716.model -1 1537162 model_serialized https://api.openml.org/data/download/1537162/WekaSerialized_weka.classifiers.meta.RotationForest8987102441678722133.model -1 1537164 predictions https://api.openml.org/data/download/1537164/weka_generated_predictions8699467665918902403.arff area_under_roc_curve 0.878978 [0.878978,0.878978] average_cost 0 f_measure 0.78953 [0.764468,0.810538] kappa 0.575185 kb_relative_information_score 843.188202 mean_absolute_error 0.34923 mean_prior_absolute_error 0.496159 number_of_instances 2500 [1140,1360] os_information [Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64] precision 0.789724 [0.782369,0.795889] predictive_accuracy 0.79 prior_entropy 0.994495 recall 0.79 [0.747368,0.825735] relative_absolute_error 0.703868 root_mean_prior_squared_error 0.49806 root_mean_squared_error 0.390017 root_relative_squared_error 0.783071 scimark_benchmark 908.95685 [482.3674420247276, 1027.7093376, 337.4424419825379, 645.6748859472447, 2051.5901448167365] total_cost 0 usercpu_time_millis 4260 usercpu_time_millis_testing 1660 usercpu_time_millis_training 2600 area_under_roc_curve 0.858974 [0.858974,0.858974] area_under_roc_curve 0.769231 [0.769231,0.769231] area_under_roc_curve 0.935897 [0.935897,0.935897] area_under_roc_curve 0.878205 [0.878205,0.878205] area_under_roc_curve 0.782051 [0.782051,0.782051] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.993506 [0.993506,0.993506] area_under_roc_curve 0.903846 [0.903846,0.903846] area_under_roc_curve 0.896104 [0.896104,0.896104] area_under_roc_curve 0.922078 [0.922078,0.922078] area_under_roc_curve 0.961538 [0.961538,0.961538] area_under_roc_curve 0.884615 [0.884615,0.884615] area_under_roc_curve 0.980769 [0.980769,0.980769] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.865385 [0.865385,0.865385] area_under_roc_curve 0.811688 [0.811688,0.811688] area_under_roc_curve 0.967532 [0.967532,0.967532] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.915584 [0.915584,0.915584] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.910256 [0.910256,0.910256] area_under_roc_curve 0.878205 [0.878205,0.878205] area_under_roc_curve 0.724359 [0.724359,0.724359] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.961538 [0.961538,0.961538] area_under_roc_curve 0.954545 [0.954545,0.954545] area_under_roc_curve 0.837662 [0.837662,0.837662] area_under_roc_curve 0.884615 [0.884615,0.884615] area_under_roc_curve 0.915584 [0.915584,0.915584] area_under_roc_curve 0.87013 [0.87013,0.87013] area_under_roc_curve 0.987179 [0.987179,0.987179] area_under_roc_curve 0.820513 [0.820513,0.820513] area_under_roc_curve 0.955128 [0.955128,0.955128] area_under_roc_curve 0.929487 [0.929487,0.929487] area_under_roc_curve 0.737179 [0.737179,0.737179] area_under_roc_curve 0.772727 [0.772727,0.772727] area_under_roc_curve 0.922078 [0.922078,0.922078] area_under_roc_curve 0.935897 [0.935897,0.935897] area_under_roc_curve 0.935065 [0.935065,0.935065] area_under_roc_curve 0.896104 [0.896104,0.896104] area_under_roc_curve 0.837662 [0.837662,0.837662] area_under_roc_curve 0.987013 [0.987013,0.987013] area_under_roc_curve 0.753247 [0.753247,0.753247] area_under_roc_curve 0.941558 [0.941558,0.941558] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.915584 [0.915584,0.915584] area_under_roc_curve 0.831169 [0.831169,0.831169] area_under_roc_curve 0.974026 [0.974026,0.974026] area_under_roc_curve 0.831169 [0.831169,0.831169] area_under_roc_curve 0.863636 [0.863636,0.863636] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.974026 [0.974026,0.974026] area_under_roc_curve 0.922078 [0.922078,0.922078] area_under_roc_curve 0.876623 [0.876623,0.876623] area_under_roc_curve 0.948052 [0.948052,0.948052] area_under_roc_curve 0.88961 [0.88961,0.88961] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.967532 [0.967532,0.967532] area_under_roc_curve 0.811688 [0.811688,0.811688] area_under_roc_curve 0.87013 [0.87013,0.87013] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.87013 [0.87013,0.87013] area_under_roc_curve 0.954545 [0.954545,0.954545] area_under_roc_curve 0.844156 [0.844156,0.844156] area_under_roc_curve 0.844156 [0.844156,0.844156] area_under_roc_curve 0.878205 [0.878205,0.878205] area_under_roc_curve 0.679487 [0.679487,0.679487] area_under_roc_curve 0.863636 [0.863636,0.863636] area_under_roc_curve 0.871795 [0.871795,0.871795] area_under_roc_curve 0.929487 [0.929487,0.929487] area_under_roc_curve 0.75974 [0.75974,0.75974] area_under_roc_curve 0.831169 [0.831169,0.831169] area_under_roc_curve 0.87013 [0.87013,0.87013] area_under_roc_curve 0.75974 [0.75974,0.75974] area_under_roc_curve 0.863636 [0.863636,0.863636] area_under_roc_curve 0.814103 [0.814103,0.814103] area_under_roc_curve 0.814103 [0.814103,0.814103] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.923077 [0.923077,0.923077] area_under_roc_curve 0.922078 [0.922078,0.922078] area_under_roc_curve 0.876623 [0.876623,0.876623] area_under_roc_curve 0.798701 [0.798701,0.798701] area_under_roc_curve 0.850649 [0.850649,0.850649] area_under_roc_curve 0.798701 [0.798701,0.798701] area_under_roc_curve 0.961538 [0.961538,0.961538] area_under_roc_curve 0.955128 [0.955128,0.955128] area_under_roc_curve 0.876623 [0.876623,0.876623] area_under_roc_curve 0.923077 [0.923077,0.923077] area_under_roc_curve 0.858974 [0.858974,0.858974] area_under_roc_curve 0.824675 [0.824675,0.824675] area_under_roc_curve 0.896104 [0.896104,0.896104] area_under_roc_curve 0.844156 [0.844156,0.844156] area_under_roc_curve 0.896104 [0.896104,0.896104] area_under_roc_curve 0.993506 [0.993506,0.993506] area_under_roc_curve 0.967949 [0.967949,0.967949] area_under_roc_curve 0.846154 [0.846154,0.846154] area_under_roc_curve 0.850649 [0.850649,0.850649] area_under_roc_curve 0.891026 [0.891026,0.891026] area_under_roc_curve 0.961538 [0.961538,0.961538] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.76 [0.75,0.769231] f_measure 0.68 [0.666667,0.692308] f_measure 0.796059 [0.761905,0.827586] f_measure 0.839487 [0.846154,0.833333] f_measure 0.632906 [0.571429,0.689655] f_measure 0.800644 [0.782609,0.814815] f_measure 0.918667 [0.9,0.933333] f_measure 0.752 [0.7,0.8] f_measure 0.800644 [0.782609,0.814815] f_measure 0.84 [0.818182,0.857143] f_measure 0.838442 [0.818182,0.857143] f_measure 0.838442 [0.818182,0.857143] f_measure 0.919744 [0.923077,0.916667] f_measure 1 [1,1] f_measure 0.799356 [0.782609,0.814815] f_measure 0.674667 [0.6,0.733333] f_measure 0.920256 [0.916667,0.923077] f_measure 0.838442 [0.818182,0.857143] f_measure 0.793888 [0.736842,0.83871] f_measure 0.8 [0.8,0.8] f_measure 0.834667 [0.8,0.866667] f_measure 0.84 [0.833333,0.846154] f_measure 0.632906 [0.571429,0.689655] f_measure 0.714483 [0.666667,0.758621] f_measure 0.839487 [0.846154,0.833333] f_measure 0.840513 [0.833333,0.846154] f_measure 0.72 [0.72,0.72] f_measure 0.84 [0.833333,0.846154] f_measure 0.798686 [0.761905,0.827586] f_measure 0.837333 [0.8,0.866667] f_measure 0.877635 [0.857143,0.896552] f_measure 0.68 [0.666667,0.692308] f_measure 0.799356 [0.782609,0.814815] f_measure 0.838442 [0.818182,0.857143] f_measure 0.586667 [0.5,0.666667] f_measure 0.718161 [0.666667,0.758621] f_measure 0.798686 [0.761905,0.827586] f_measure 0.84 [0.833333,0.846154] f_measure 0.84 [0.818182,0.857143] f_measure 0.798686 [0.761905,0.827586] f_measure 0.72 [0.72,0.72] f_measure 0.880386 [0.869565,0.888889] f_measure 0.720902 [0.695652,0.740741] f_measure 0.880386 [0.869565,0.888889] f_measure 0.760769 [0.75,0.769231] f_measure 0.837333 [0.8,0.866667] f_measure 0.800644 [0.782609,0.814815] f_measure 0.879212 [0.857143,0.896552] f_measure 0.760769 [0.75,0.769231] f_measure 0.84 [0.818182,0.857143] f_measure 0.798686 [0.761905,0.827586] f_measure 0.880386 [0.869565,0.888889] f_measure 0.880386 [0.869565,0.888889] f_measure 0.720902 [0.695652,0.740741] f_measure 0.879212 [0.857143,0.896552] f_measure 0.798686 [0.761905,0.827586] f_measure 0.798686 [0.761905,0.827586] f_measure 0.879212 [0.857143,0.896552] f_measure 0.720902 [0.695652,0.740741] f_measure 0.711443 [0.631579,0.774194] f_measure 0.593333 [0.5,0.666667] f_measure 0.760769 [0.75,0.769231] f_measure 0.880386 [0.869565,0.888889] f_measure 0.674667 [0.6,0.733333] f_measure 0.720902 [0.695652,0.740741] f_measure 0.755325 [0.785714,0.727273] f_measure 0.676883 [0.636364,0.714286] f_measure 0.720902 [0.695652,0.740741] f_measure 0.8 [0.8,0.8] f_measure 0.799356 [0.782609,0.814815] f_measure 0.641159 [0.608696,0.666667] f_measure 0.837333 [0.8,0.866667] f_measure 0.793888 [0.736842,0.83871] f_measure 0.718161 [0.666667,0.758621] f_measure 0.718161 [0.666667,0.758621] f_measure 0.719098 [0.695652,0.740741] f_measure 0.757662 [0.727273,0.785714] f_measure 0.84 [0.818182,0.857143] f_measure 0.72 [0.72,0.72] f_measure 0.796059 [0.761905,0.827586] f_measure 0.837333 [0.8,0.866667] f_measure 0.756 [0.7,0.8] f_measure 0.68 [0.636364,0.714286] f_measure 0.720902 [0.695652,0.740741] f_measure 0.78574 [0.705882,0.848485] f_measure 0.879614 [0.869565,0.888889] f_measure 0.88 [0.88,0.88] f_measure 0.800644 [0.782609,0.814815] f_measure 0.798068 [0.814815,0.782609] f_measure 0.796059 [0.761905,0.827586] f_measure 0.76 [0.727273,0.785714] f_measure 0.720902 [0.695652,0.740741] f_measure 0.76 [0.727273,0.785714] f_measure 0.760769 [0.75,0.769231] f_measure 0.960129 [0.956522,0.962963] f_measure 0.789813 [0.736842,0.83871] f_measure 0.757662 [0.727273,0.785714] f_measure 0.84 [0.818182,0.857143] f_measure 0.69205 [0.588235,0.787879] f_measure 0.839487 [0.846154,0.833333] kappa 0.519231 kappa 0.358974 kappa 0.595469 kappa 0.681529 kappa 0.271845 kappa 0.598071 kappa 0.834437 kappa 0.512987 kappa 0.598071 kappa 0.675325 kappa 0.677419 kappa 0.677419 kappa 0.840764 kappa 1 kappa 0.598071 kappa 0.337748 kappa 0.840764 kappa 0.677419 kappa 0.58194 kappa 0.605678 kappa 0.675325 kappa 0.679487 kappa 0.271845 kappa 0.433657 kappa 0.681529 kappa 0.681529 kappa 0.44795 kappa 0.679487 kappa 0.590164 kappa 0.668874 kappa 0.757282 kappa 0.358974 kappa 0.598071 kappa 0.677419 kappa 0.188312 kappa 0.42623 kappa 0.590164 kappa 0.679487 kappa 0.675325 kappa 0.590164 kappa 0.44795 kappa 0.758842 kappa 0.437299 kappa 0.758842 kappa 0.522293 kappa 0.668874 kappa 0.598071 kappa 0.754098 kappa 0.522293 kappa 0.675325 kappa 0.590164 kappa 0.758842 kappa 0.758842 kappa 0.437299 kappa 0.754098 kappa 0.590164 kappa 0.590164 kappa 0.754098 kappa 0.437299 kappa 0.414716 kappa 0.172185 kappa 0.522293 kappa 0.758842 kappa 0.337748 kappa 0.437299 kappa 0.525316 kappa 0.354839 kappa 0.437299 kappa 0.600639 kappa 0.598071 kappa 0.276527 kappa 0.668874 kappa 0.58194 kappa 0.42623 kappa 0.42623 kappa 0.437299 kappa 0.516129 kappa 0.675325 kappa 0.440895 kappa 0.595469 kappa 0.668874 kappa 0.503311 kappa 0.350649 kappa 0.437299 kappa 0.573379 kappa 0.758842 kappa 0.760383 kappa 0.598071 kappa 0.603175 kappa 0.595469 kappa 0.512987 kappa 0.437299 kappa 0.512987 kappa 0.522293 kappa 0.919614 kappa 0.592834 kappa 0.516129 kappa 0.675325 kappa 0.42623 kappa 0.681529 kb_relative_information_score 6.467197 kb_relative_information_score 5.204961 kb_relative_information_score 9.539056 kb_relative_information_score 7.792174 kb_relative_information_score 5.264427 kb_relative_information_score 9.482951 kb_relative_information_score 12.207532 kb_relative_information_score 7.939348 kb_relative_information_score 9.6326 kb_relative_information_score 9.097 kb_relative_information_score 9.934399 kb_relative_information_score 8.366106 kb_relative_information_score 10.068641 kb_relative_information_score 13.044068 kb_relative_information_score 8.462007 kb_relative_information_score 6.920691 kb_relative_information_score 9.241331 kb_relative_information_score 8.550382 kb_relative_information_score 8.553198 kb_relative_information_score 8.663137 kb_relative_information_score 10.178033 kb_relative_information_score 8.458821 kb_relative_information_score 4.650959 kb_relative_information_score 7.613687 kb_relative_information_score 10.734186 kb_relative_information_score 10.085662 kb_relative_information_score 7.444463 kb_relative_information_score 7.637176 kb_relative_information_score 8.381679 kb_relative_information_score 7.974932 kb_relative_information_score 10.746934 kb_relative_information_score 6.829787 kb_relative_information_score 11.035899 kb_relative_information_score 9.731448 kb_relative_information_score 5.567299 kb_relative_information_score 5.598679 kb_relative_information_score 10.416291 kb_relative_information_score 10.266898 kb_relative_information_score 10.316136 kb_relative_information_score 9.492039 kb_relative_information_score 6.130254 kb_relative_information_score 11.988145 kb_relative_information_score 4.945103 kb_relative_information_score 8.996012 kb_relative_information_score 8.195266 kb_relative_information_score 9.396553 kb_relative_information_score 7.980928 kb_relative_information_score 11.641187 kb_relative_information_score 7.549168 kb_relative_information_score 6.686409 kb_relative_information_score 8.541392 kb_relative_information_score 11.20325 kb_relative_information_score 8.173577 kb_relative_information_score 9.093011 kb_relative_information_score 9.353999 kb_relative_information_score 9.051713 kb_relative_information_score 8.726628 kb_relative_information_score 11.323689 kb_relative_information_score 7.663515 kb_relative_information_score 7.704374 kb_relative_information_score 4.746706 kb_relative_information_score 8.620547 kb_relative_information_score 9.742021 kb_relative_information_score 7.984949 kb_relative_information_score 7.46628 kb_relative_information_score 7.729696 kb_relative_information_score 3.719592 kb_relative_information_score 8.448978 kb_relative_information_score 8.553036 kb_relative_information_score 8.491493 kb_relative_information_score 6.114395 kb_relative_information_score 8.052665 kb_relative_information_score 7.895656 kb_relative_information_score 6.699037 kb_relative_information_score 7.748228 kb_relative_information_score 7.258941 kb_relative_information_score 6.786545 kb_relative_information_score 7.643796 kb_relative_information_score 7.50453 kb_relative_information_score 9.028651 kb_relative_information_score 9.891223 kb_relative_information_score 8.887335 kb_relative_information_score 5.800316 kb_relative_information_score 7.94703 kb_relative_information_score 7.229594 kb_relative_information_score 10.484854 kb_relative_information_score 10.596181 kb_relative_information_score 8.787603 kb_relative_information_score 10.877339 kb_relative_information_score 8.313455 kb_relative_information_score 6.475226 kb_relative_information_score 7.41649 kb_relative_information_score 8.006305 kb_relative_information_score 7.560812 kb_relative_information_score 11.145704 kb_relative_information_score 9.489536 kb_relative_information_score 7.101203 kb_relative_information_score 7.39355 kb_relative_information_score 7.001718 kb_relative_information_score 10.6106 mean_absolute_error 0.390194 mean_absolute_error 0.407466 mean_absolute_error 0.334673 mean_absolute_error 0.366191 mean_absolute_error 0.4032 mean_absolute_error 0.327279 mean_absolute_error 0.284245 mean_absolute_error 0.361853 mean_absolute_error 0.326067 mean_absolute_error 0.338084 mean_absolute_error 0.327641 mean_absolute_error 0.356845 mean_absolute_error 0.330456 mean_absolute_error 0.276279 mean_absolute_error 0.351914 mean_absolute_error 0.371761 mean_absolute_error 0.340027 mean_absolute_error 0.350793 mean_absolute_error 0.344296 mean_absolute_error 0.340234 mean_absolute_error 0.319399 mean_absolute_error 0.352339 mean_absolute_error 0.41806 mean_absolute_error 0.366062 mean_absolute_error 0.313487 mean_absolute_error 0.318992 mean_absolute_error 0.361959 mean_absolute_error 0.366891 mean_absolute_error 0.350155 mean_absolute_error 0.361626 mean_absolute_error 0.311767 mean_absolute_error 0.37666 mean_absolute_error 0.305331 mean_absolute_error 0.330702 mean_absolute_error 0.396965 mean_absolute_error 0.397091 mean_absolute_error 0.306195 mean_absolute_error 0.318984 mean_absolute_error 0.314042 mean_absolute_error 0.325836 mean_absolute_error 0.389241 mean_absolute_error 0.288339 mean_absolute_error 0.407323 mean_absolute_error 0.339835 mean_absolute_error 0.350592 mean_absolute_error 0.330262 mean_absolute_error 0.356856 mean_absolute_error 0.291808 mean_absolute_error 0.362366 mean_absolute_error 0.381185 mean_absolute_error 0.346502 mean_absolute_error 0.302421 mean_absolute_error 0.35543 mean_absolute_error 0.333477 mean_absolute_error 0.333177 mean_absolute_error 0.336942 mean_absolute_error 0.343547 mean_absolute_error 0.297017 mean_absolute_error 0.354961 mean_absolute_error 0.357359 mean_absolute_error 0.409919 mean_absolute_error 0.339871 mean_absolute_error 0.328427 mean_absolute_error 0.348508 mean_absolute_error 0.361982 mean_absolute_error 0.364467 mean_absolute_error 0.437045 mean_absolute_error 0.341168 mean_absolute_error 0.350921 mean_absolute_error 0.355063 mean_absolute_error 0.38528 mean_absolute_error 0.35431 mean_absolute_error 0.357223 mean_absolute_error 0.373956 mean_absolute_error 0.358486 mean_absolute_error 0.369144 mean_absolute_error 0.378377 mean_absolute_error 0.363428 mean_absolute_error 0.367075 mean_absolute_error 0.338662 mean_absolute_error 0.319594 mean_absolute_error 0.336204 mean_absolute_error 0.390409 mean_absolute_error 0.351297 mean_absolute_error 0.371016 mean_absolute_error 0.31922 mean_absolute_error 0.315144 mean_absolute_error 0.342102 mean_absolute_error 0.30522 mean_absolute_error 0.354137 mean_absolute_error 0.379483 mean_absolute_error 0.367051 mean_absolute_error 0.351696 mean_absolute_error 0.364215 mean_absolute_error 0.305704 mean_absolute_error 0.33223 mean_absolute_error 0.374346 mean_absolute_error 0.369114 mean_absolute_error 0.375925 mean_absolute_error 0.314947 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.494762 mean_prior_absolute_error 0.498254 mean_prior_absolute_error 0.498254 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] 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 [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 [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 [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 [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 [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 [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] precision 0.76 [0.75,0.769231] precision 0.68 [0.666667,0.692308] precision 0.816667 [0.888889,0.75] precision 0.84987 [0.785714,0.909091] precision 0.645 [0.666667,0.625] precision 0.803846 [0.75,0.846154] precision 0.93 [1,0.875] precision 0.787059 [0.875,0.705882] precision 0.803846 [0.75,0.846154] precision 0.84 [0.818182,0.857143] precision 0.848 [0.9,0.8] precision 0.848 [0.9,0.8] precision 0.931429 [0.857143,1] precision 1 [1,1] precision 0.801299 [0.818182,0.785714] precision 0.678333 [0.666667,0.6875] precision 0.932308 [0.846154,1] precision 0.848 [0.9,0.8] precision 0.813235 [0.875,0.764706] precision 0.823377 [0.714286,0.909091] precision 0.877647 [1,0.764706] precision 0.84 [0.833333,0.846154] precision 0.645 [0.666667,0.625] precision 0.730833 [0.777778,0.6875] precision 0.84987 [0.785714,0.909091] precision 0.851795 [0.769231,0.916667] precision 0.741039 [0.642857,0.818182] precision 0.84 [0.833333,0.846154] precision 0.8 [0.8,0.8] precision 0.846111 [0.888889,0.8125] precision 0.9025 [1,0.8125] precision 0.68 [0.666667,0.692308] precision 0.801299 [0.818182,0.785714] precision 0.848 [0.9,0.8] precision 0.605882 [0.625,0.588235] precision 0.718667 [0.7,0.733333] precision 0.8 [0.8,0.8] precision 0.84 [0.833333,0.846154] precision 0.84 [0.818182,0.857143] precision 0.8 [0.8,0.8] precision 0.741039 [0.642857,0.818182] precision 0.88359 [0.833333,0.923077] precision 0.724103 [0.666667,0.769231] precision 0.88359 [0.833333,0.923077] precision 0.771282 [0.692308,0.833333] precision 0.846111 [0.888889,0.8125] precision 0.803846 [0.75,0.846154] precision 0.881333 [0.9,0.866667] precision 0.771282 [0.692308,0.833333] precision 0.84 [0.818182,0.857143] precision 0.8 [0.8,0.8] precision 0.88359 [0.833333,0.923077] precision 0.88359 [0.833333,0.923077] precision 0.724103 [0.666667,0.769231] precision 0.881333 [0.9,0.866667] precision 0.8 [0.8,0.8] precision 0.8 [0.8,0.8] precision 0.881333 [0.9,0.866667] precision 0.724103 [0.666667,0.769231] precision 0.725294 [0.75,0.705882] precision 0.594444 [0.555556,0.625] precision 0.771282 [0.692308,0.833333] precision 0.88359 [0.833333,0.923077] precision 0.678333 [0.666667,0.6875] precision 0.724103 [0.666667,0.769231] precision 0.792222 [0.6875,0.888889] precision 0.682667 [0.7,0.666667] precision 0.724103 [0.666667,0.769231] precision 0.802564 [0.769231,0.833333] precision 0.801299 [0.818182,0.785714] precision 0.644359 [0.583333,0.692308] precision 0.846111 [0.888889,0.8125] precision 0.813235 [0.875,0.764706] precision 0.718667 [0.7,0.733333] precision 0.718667 [0.7,0.733333] precision 0.720519 [0.727273,0.714286] precision 0.765333 [0.8,0.733333] precision 0.84 [0.818182,0.857143] precision 0.722308 [0.692308,0.75] precision 0.816667 [0.888889,0.75] precision 0.846111 [0.888889,0.8125] precision 0.762222 [0.777778,0.75] precision 0.68 [0.636364,0.714286] precision 0.724103 [0.666667,0.769231] precision 0.852632 [1,0.736842] precision 0.882078 [0.909091,0.857143] precision 0.882821 [0.846154,0.916667] precision 0.803846 [0.75,0.846154] precision 0.82 [0.733333,0.9] precision 0.816667 [0.888889,0.75] precision 0.76 [0.727273,0.785714] precision 0.724103 [0.666667,0.769231] precision 0.76 [0.727273,0.785714] precision 0.771282 [0.692308,0.833333] precision 0.963333 [0.916667,1] precision 0.855556 [1,0.722222] precision 0.765333 [0.8,0.733333] precision 0.84 [0.818182,0.857143] precision 0.818 [1,0.65] precision 0.84987 [0.785714,0.909091] predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.92 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.92 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.92 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.6 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.88 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.6 predictive_accuracy 0.76 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.96 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.84 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 prior_entropy 0.994495 recall 0.76 [0.75,0.769231] recall 0.68 [0.666667,0.692308] recall 0.8 [0.666667,0.923077] recall 0.84 [0.916667,0.769231] recall 0.64 [0.5,0.769231] recall 0.8 [0.818182,0.785714] recall 0.92 [0.818182,1] recall 0.76 [0.583333,0.923077] recall 0.8 [0.818182,0.785714] recall 0.84 [0.818182,0.857143] recall 0.84 [0.75,0.923077] recall 0.84 [0.75,0.923077] recall 0.92 [1,0.846154] recall 1 [1,1] recall 0.8 [0.75,0.846154] recall 0.68 [0.545455,0.785714] recall 0.92 [1,0.857143] recall 0.84 [0.75,0.923077] recall 0.8 [0.636364,0.928571] recall 0.8 [0.909091,0.714286] recall 0.84 [0.666667,1] recall 0.84 [0.833333,0.846154] recall 0.64 [0.5,0.769231] recall 0.72 [0.583333,0.846154] recall 0.84 [0.916667,0.769231] recall 0.84 [0.909091,0.785714] recall 0.72 [0.818182,0.642857] recall 0.84 [0.833333,0.846154] recall 0.8 [0.727273,0.857143] recall 0.84 [0.727273,0.928571] recall 0.88 [0.75,1] recall 0.68 [0.666667,0.692308] recall 0.8 [0.75,0.846154] recall 0.84 [0.75,0.923077] recall 0.6 [0.416667,0.769231] recall 0.72 [0.636364,0.785714] recall 0.8 [0.727273,0.857143] recall 0.84 [0.833333,0.846154] recall 0.84 [0.818182,0.857143] recall 0.8 [0.727273,0.857143] recall 0.72 [0.818182,0.642857] recall 0.88 [0.909091,0.857143] recall 0.72 [0.727273,0.714286] recall 0.88 [0.909091,0.857143] recall 0.76 [0.818182,0.714286] recall 0.84 [0.727273,0.928571] recall 0.8 [0.818182,0.785714] recall 0.88 [0.818182,0.928571] recall 0.76 [0.818182,0.714286] recall 0.84 [0.818182,0.857143] recall 0.8 [0.727273,0.857143] recall 0.88 [0.909091,0.857143] recall 0.88 [0.909091,0.857143] recall 0.72 [0.727273,0.714286] recall 0.88 [0.818182,0.928571] recall 0.8 [0.727273,0.857143] recall 0.8 [0.727273,0.857143] recall 0.88 [0.818182,0.928571] recall 0.72 [0.727273,0.714286] recall 0.72 [0.545455,0.857143] recall 0.6 [0.454545,0.714286] recall 0.76 [0.818182,0.714286] recall 0.88 [0.909091,0.857143] recall 0.68 [0.545455,0.785714] recall 0.72 [0.727273,0.714286] recall 0.76 [0.916667,0.615385] recall 0.68 [0.583333,0.769231] recall 0.72 [0.727273,0.714286] recall 0.8 [0.833333,0.769231] recall 0.8 [0.75,0.846154] recall 0.64 [0.636364,0.642857] recall 0.84 [0.727273,0.928571] recall 0.8 [0.636364,0.928571] recall 0.72 [0.636364,0.785714] recall 0.72 [0.636364,0.785714] recall 0.72 [0.666667,0.769231] recall 0.76 [0.666667,0.846154] recall 0.84 [0.818182,0.857143] recall 0.72 [0.75,0.692308] recall 0.8 [0.666667,0.923077] recall 0.84 [0.727273,0.928571] recall 0.76 [0.636364,0.857143] recall 0.68 [0.636364,0.714286] recall 0.72 [0.727273,0.714286] recall 0.8 [0.545455,1] recall 0.88 [0.833333,0.923077] recall 0.88 [0.916667,0.846154] recall 0.8 [0.818182,0.785714] recall 0.8 [0.916667,0.692308] recall 0.8 [0.666667,0.923077] recall 0.76 [0.727273,0.785714] recall 0.72 [0.727273,0.714286] recall 0.76 [0.727273,0.785714] recall 0.76 [0.818182,0.714286] recall 0.96 [1,0.928571] recall 0.8 [0.583333,1] recall 0.76 [0.666667,0.846154] recall 0.84 [0.818182,0.857143] recall 0.72 [0.416667,1] recall 0.84 [0.916667,0.769231] relative_absolute_error 0.783122 relative_absolute_error 0.817787 relative_absolute_error 0.671692 relative_absolute_error 0.734949 relative_absolute_error 0.809227 relative_absolute_error 0.661488 relative_absolute_error 0.574509 relative_absolute_error 0.726243 relative_absolute_error 0.659039 relative_absolute_error 0.683326 relative_absolute_error 0.657577 relative_absolute_error 0.716191 relative_absolute_error 0.663227 relative_absolute_error 0.554494 relative_absolute_error 0.706295 relative_absolute_error 0.751393 relative_absolute_error 0.687254 relative_absolute_error 0.704044 relative_absolute_error 0.695883 relative_absolute_error 0.687672 relative_absolute_error 0.641037 relative_absolute_error 0.707146 relative_absolute_error 0.839049 relative_absolute_error 0.734689 relative_absolute_error 0.62917 relative_absolute_error 0.644739 relative_absolute_error 0.731583 relative_absolute_error 0.736354 relative_absolute_error 0.707724 relative_absolute_error 0.730909 relative_absolute_error 0.62572 relative_absolute_error 0.755959 relative_absolute_error 0.612802 relative_absolute_error 0.663722 relative_absolute_error 0.796713 relative_absolute_error 0.802589 relative_absolute_error 0.618874 relative_absolute_error 0.640203 relative_absolute_error 0.634734 relative_absolute_error 0.658571 relative_absolute_error 0.786723 relative_absolute_error 0.582784 relative_absolute_error 0.823271 relative_absolute_error 0.686866 relative_absolute_error 0.708607 relative_absolute_error 0.667518 relative_absolute_error 0.721269 relative_absolute_error 0.589795 relative_absolute_error 0.732404 relative_absolute_error 0.770441 relative_absolute_error 0.70034 relative_absolute_error 0.611246 relative_absolute_error 0.718385 relative_absolute_error 0.674016 relative_absolute_error 0.673409 relative_absolute_error 0.681019 relative_absolute_error 0.694369 relative_absolute_error 0.600323 relative_absolute_error 0.717438 relative_absolute_error 0.722284 relative_absolute_error 0.828517 relative_absolute_error 0.686938 relative_absolute_error 0.663809 relative_absolute_error 0.704395 relative_absolute_error 0.731628 relative_absolute_error 0.731488 relative_absolute_error 0.877154 relative_absolute_error 0.68956 relative_absolute_error 0.704301 relative_absolute_error 0.712614 relative_absolute_error 0.778718 relative_absolute_error 0.716122 relative_absolute_error 0.722009 relative_absolute_error 0.755829 relative_absolute_error 0.724563 relative_absolute_error 0.740875 relative_absolute_error 0.759406 relative_absolute_error 0.734551 relative_absolute_error 0.736722 relative_absolute_error 0.679699 relative_absolute_error 0.645956 relative_absolute_error 0.679527 relative_absolute_error 0.789085 relative_absolute_error 0.710033 relative_absolute_error 0.749888 relative_absolute_error 0.640677 relative_absolute_error 0.632497 relative_absolute_error 0.691447 relative_absolute_error 0.612579 relative_absolute_error 0.710755 relative_absolute_error 0.767002 relative_absolute_error 0.741875 relative_absolute_error 0.710839 relative_absolute_error 0.736142 relative_absolute_error 0.617881 relative_absolute_error 0.666788 relative_absolute_error 0.751316 relative_absolute_error 0.746043 relative_absolute_error 0.754485 relative_absolute_error 0.632102 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.496656 root_mean_prior_squared_error 0.500159 root_mean_prior_squared_error 0.500159 root_mean_squared_error 0.415759 root_mean_squared_error 0.443544 root_mean_squared_error 0.368476 root_mean_squared_error 0.400015 root_mean_squared_error 0.448193 root_mean_squared_error 0.367708 root_mean_squared_error 0.310844 root_mean_squared_error 0.398784 root_mean_squared_error 0.3649 root_mean_squared_error 0.370019 root_mean_squared_error 0.358181 root_mean_squared_error 0.389338 root_mean_squared_error 0.34921 root_mean_squared_error 0.29544 root_mean_squared_error 0.396838 root_mean_squared_error 0.41988 root_mean_squared_error 0.359952 root_mean_squared_error 0.389407 root_mean_squared_error 0.38741 root_mean_squared_error 0.400574 root_mean_squared_error 0.368772 root_mean_squared_error 0.389704 root_mean_squared_error 0.458687 root_mean_squared_error 0.414557 root_mean_squared_error 0.343098 root_mean_squared_error 0.353498 root_mean_squared_error 0.407294 root_mean_squared_error 0.398013 root_mean_squared_error 0.387861 root_mean_squared_error 0.392345 root_mean_squared_error 0.344603 root_mean_squared_error 0.426675 root_mean_squared_error 0.340642 root_mean_squared_error 0.363525 root_mean_squared_error 0.459657 root_mean_squared_error 0.434346 root_mean_squared_error 0.353732 root_mean_squared_error 0.355496 root_mean_squared_error 0.351123 root_mean_squared_error 0.374986 root_mean_squared_error 0.418588 root_mean_squared_error 0.312057 root_mean_squared_error 0.452262 root_mean_squared_error 0.371588 root_mean_squared_error 0.389066 root_mean_squared_error 0.368652 root_mean_squared_error 0.401166 root_mean_squared_error 0.32492 root_mean_squared_error 0.408793 root_mean_squared_error 0.409845 root_mean_squared_error 0.380007 root_mean_squared_error 0.329113 root_mean_squared_error 0.388165 root_mean_squared_error 0.378611 root_mean_squared_error 0.365792 root_mean_squared_error 0.379523 root_mean_squared_error 0.378994 root_mean_squared_error 0.330386 root_mean_squared_error 0.404894 root_mean_squared_error 0.39732 root_mean_squared_error 0.451972 root_mean_squared_error 0.384075 root_mean_squared_error 0.3536 root_mean_squared_error 0.398581 root_mean_squared_error 0.400073 root_mean_squared_error 0.398556 root_mean_squared_error 0.483917 root_mean_squared_error 0.395897 root_mean_squared_error 0.389103 root_mean_squared_error 0.38337 root_mean_squared_error 0.446458 root_mean_squared_error 0.406181 root_mean_squared_error 0.406167 root_mean_squared_error 0.444116 root_mean_squared_error 0.39679 root_mean_squared_error 0.417114 root_mean_squared_error 0.422892 root_mean_squared_error 0.401949 root_mean_squared_error 0.411139 root_mean_squared_error 0.381366 root_mean_squared_error 0.370076 root_mean_squared_error 0.383187 root_mean_squared_error 0.42795 root_mean_squared_error 0.399856 root_mean_squared_error 0.410828 root_mean_squared_error 0.34702 root_mean_squared_error 0.345888 root_mean_squared_error 0.384163 root_mean_squared_error 0.356061 root_mean_squared_error 0.411889 root_mean_squared_error 0.415611 root_mean_squared_error 0.395792 root_mean_squared_error 0.413028 root_mean_squared_error 0.396757 root_mean_squared_error 0.326956 root_mean_squared_error 0.373087 root_mean_squared_error 0.413927 root_mean_squared_error 0.402461 root_mean_squared_error 0.408615 root_mean_squared_error 0.346812 root_relative_squared_error 0.831253 root_relative_squared_error 0.886805 root_relative_squared_error 0.736717 root_relative_squared_error 0.799775 root_relative_squared_error 0.896101 root_relative_squared_error 0.740367 root_relative_squared_error 0.625873 root_relative_squared_error 0.797315 root_relative_squared_error 0.734713 root_relative_squared_error 0.74502 root_relative_squared_error 0.716134 root_relative_squared_error 0.778429 root_relative_squared_error 0.698197 root_relative_squared_error 0.590691 root_relative_squared_error 0.793424 root_relative_squared_error 0.845415 root_relative_squared_error 0.724751 root_relative_squared_error 0.778566 root_relative_squared_error 0.780037 root_relative_squared_error 0.806543 root_relative_squared_error 0.737308 root_relative_squared_error 0.77916 root_relative_squared_error 0.917082 root_relative_squared_error 0.82885 root_relative_squared_error 0.685978 root_relative_squared_error 0.711756 root_relative_squared_error 0.820073 root_relative_squared_error 0.795773 root_relative_squared_error 0.780946 root_relative_squared_error 0.789974 root_relative_squared_error 0.688986 root_relative_squared_error 0.853078 root_relative_squared_error 0.681067 root_relative_squared_error 0.726818 root_relative_squared_error 0.919021 root_relative_squared_error 0.874541 root_relative_squared_error 0.712227 root_relative_squared_error 0.710765 root_relative_squared_error 0.706974 root_relative_squared_error 0.755021 root_relative_squared_error 0.842812 root_relative_squared_error 0.628316 root_relative_squared_error 0.910614 root_relative_squared_error 0.748179 root_relative_squared_error 0.783372 root_relative_squared_error 0.742267 root_relative_squared_error 0.807734 root_relative_squared_error 0.654215 root_relative_squared_error 0.823092 root_relative_squared_error 0.825209 root_relative_squared_error 0.765132 root_relative_squared_error 0.662657 root_relative_squared_error 0.781557 root_relative_squared_error 0.76232 root_relative_squared_error 0.736509 root_relative_squared_error 0.764157 root_relative_squared_error 0.763091 root_relative_squared_error 0.665221 root_relative_squared_error 0.81524 root_relative_squared_error 0.79999 root_relative_squared_error 0.910029 root_relative_squared_error 0.773322 root_relative_squared_error 0.711961 root_relative_squared_error 0.802528 root_relative_squared_error 0.805534 root_relative_squared_error 0.796857 root_relative_squared_error 0.967526 root_relative_squared_error 0.797124 root_relative_squared_error 0.777959 root_relative_squared_error 0.766497 root_relative_squared_error 0.898928 root_relative_squared_error 0.817832 root_relative_squared_error 0.817804 root_relative_squared_error 0.894211 root_relative_squared_error 0.798923 root_relative_squared_error 0.833963 root_relative_squared_error 0.845514 root_relative_squared_error 0.80931 root_relative_squared_error 0.822015 root_relative_squared_error 0.76249 root_relative_squared_error 0.745135 root_relative_squared_error 0.771535 root_relative_squared_error 0.861662 root_relative_squared_error 0.805097 root_relative_squared_error 0.827189 root_relative_squared_error 0.693819 root_relative_squared_error 0.691556 root_relative_squared_error 0.773499 root_relative_squared_error 0.711895 root_relative_squared_error 0.823515 root_relative_squared_error 0.836819 root_relative_squared_error 0.796914 root_relative_squared_error 0.831618 root_relative_squared_error 0.798857 root_relative_squared_error 0.658315 root_relative_squared_error 0.745936 root_relative_squared_error 0.827591 root_relative_squared_error 0.810342 root_relative_squared_error 0.81697 root_relative_squared_error 0.693403 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 2430 usercpu_time_millis 2440 usercpu_time_millis 1900 usercpu_time_millis 1940 usercpu_time_millis 2740 usercpu_time_millis 2020 usercpu_time_millis 1880 usercpu_time_millis 2940 usercpu_time_millis 3200 usercpu_time_millis 2750 usercpu_time_millis 2040 usercpu_time_millis 1930 usercpu_time_millis 1950 usercpu_time_millis 1900 usercpu_time_millis 3090 usercpu_time_millis 1880 usercpu_time_millis 2080 usercpu_time_millis 2890 usercpu_time_millis 2190 usercpu_time_millis 2060 usercpu_time_millis 2200 usercpu_time_millis 2360 usercpu_time_millis 2560 usercpu_time_millis 1930 usercpu_time_millis 2150 usercpu_time_millis 1940 usercpu_time_millis 1900 usercpu_time_millis 2910 usercpu_time_millis 2310 usercpu_time_millis 2020 usercpu_time_millis 1950 usercpu_time_millis 1910 usercpu_time_millis 1870 usercpu_time_millis 2030 usercpu_time_millis 2630 usercpu_time_millis 1940 usercpu_time_millis 1950 usercpu_time_millis 2830 usercpu_time_millis 2860 usercpu_time_millis 1940 usercpu_time_millis 1960 usercpu_time_millis 2770 usercpu_time_millis 1950 usercpu_time_millis 2080 usercpu_time_millis 2440 usercpu_time_millis 2910 usercpu_time_millis 2630 usercpu_time_millis 3010 usercpu_time_millis 3260 usercpu_time_millis 2160 usercpu_time_millis 2320 usercpu_time_millis 1900 usercpu_time_millis 2060 usercpu_time_millis 2260 usercpu_time_millis 2590 usercpu_time_millis 2780 usercpu_time_millis 1830 usercpu_time_millis 2950 usercpu_time_millis 2320 usercpu_time_millis 2700 usercpu_time_millis 2610 usercpu_time_millis 1900 usercpu_time_millis 2050 usercpu_time_millis 2020 usercpu_time_millis 2360 usercpu_time_millis 2460 usercpu_time_millis 1920 usercpu_time_millis 2910 usercpu_time_millis 1910 usercpu_time_millis 2850 usercpu_time_millis 1950 usercpu_time_millis 1820 usercpu_time_millis 1980 usercpu_time_millis 2190 usercpu_time_millis 2050 usercpu_time_millis 1940 usercpu_time_millis 1930 usercpu_time_millis 2830 usercpu_time_millis 2510 usercpu_time_millis 2750 usercpu_time_millis 1820 usercpu_time_millis 1880 usercpu_time_millis 2010 usercpu_time_millis 2810 usercpu_time_millis 2120 usercpu_time_millis 1840 usercpu_time_millis 1930 usercpu_time_millis 2890 usercpu_time_millis 1890 usercpu_time_millis 2720 usercpu_time_millis 1950 usercpu_time_millis 1910 usercpu_time_millis 2030 usercpu_time_millis 2890 usercpu_time_millis 2030 usercpu_time_millis 1900 usercpu_time_millis 2120 usercpu_time_millis 2790 usercpu_time_millis 2850 usercpu_time_millis 2670 usercpu_time_millis_testing 190 usercpu_time_millis_testing 210 usercpu_time_millis_testing 150 usercpu_time_millis_testing 220 usercpu_time_millis_testing 200 usercpu_time_millis_testing 240 usercpu_time_millis_testing 170 usercpu_time_millis_testing 280 usercpu_time_millis_testing 250 usercpu_time_millis_testing 270 usercpu_time_millis_testing 200 usercpu_time_millis_testing 170 usercpu_time_millis_testing 220 usercpu_time_millis_testing 170 usercpu_time_millis_testing 200 usercpu_time_millis_testing 180 usercpu_time_millis_testing 310 usercpu_time_millis_testing 220 usercpu_time_millis_testing 220 usercpu_time_millis_testing 180 usercpu_time_millis_testing 160 usercpu_time_millis_testing 210 usercpu_time_millis_testing 220 usercpu_time_millis_testing 220 usercpu_time_millis_testing 250 usercpu_time_millis_testing 210 usercpu_time_millis_testing 180 usercpu_time_millis_testing 270 usercpu_time_millis_testing 240 usercpu_time_millis_testing 220 usercpu_time_millis_testing 200 usercpu_time_millis_testing 190 usercpu_time_millis_testing 190 usercpu_time_millis_testing 200 usercpu_time_millis_testing 230 usercpu_time_millis_testing 240 usercpu_time_millis_testing 220 usercpu_time_millis_testing 230 usercpu_time_millis_testing 270 usercpu_time_millis_testing 170 usercpu_time_millis_testing 180 usercpu_time_millis_testing 210 usercpu_time_millis_testing 180 usercpu_time_millis_testing 250 usercpu_time_millis_testing 210 usercpu_time_millis_testing 220 usercpu_time_millis_testing 210 usercpu_time_millis_testing 300 usercpu_time_millis_testing 210 usercpu_time_millis_testing 260 usercpu_time_millis_testing 220 usercpu_time_millis_testing 190 usercpu_time_millis_testing 240 usercpu_time_millis_testing 280 usercpu_time_millis_testing 250 usercpu_time_millis_testing 250 usercpu_time_millis_testing 200 usercpu_time_millis_testing 270 usercpu_time_millis_testing 220 usercpu_time_millis_testing 250 usercpu_time_millis_testing 230 usercpu_time_millis_testing 200 usercpu_time_millis_testing 210 usercpu_time_millis_testing 230 usercpu_time_millis_testing 190 usercpu_time_millis_testing 220 usercpu_time_millis_testing 200 usercpu_time_millis_testing 280 usercpu_time_millis_testing 180 usercpu_time_millis_testing 300 usercpu_time_millis_testing 200 usercpu_time_millis_testing 170 usercpu_time_millis_testing 230 usercpu_time_millis_testing 210 usercpu_time_millis_testing 240 usercpu_time_millis_testing 190 usercpu_time_millis_testing 170 usercpu_time_millis_testing 260 usercpu_time_millis_testing 220 usercpu_time_millis_testing 230 usercpu_time_millis_testing 170 usercpu_time_millis_testing 210 usercpu_time_millis_testing 240 usercpu_time_millis_testing 230 usercpu_time_millis_testing 220 usercpu_time_millis_testing 160 usercpu_time_millis_testing 200 usercpu_time_millis_testing 230 usercpu_time_millis_testing 200 usercpu_time_millis_testing 280 usercpu_time_millis_testing 220 usercpu_time_millis_testing 210 usercpu_time_millis_testing 170 usercpu_time_millis_testing 280 usercpu_time_millis_testing 200 usercpu_time_millis_testing 210 usercpu_time_millis_testing 230 usercpu_time_millis_testing 260 usercpu_time_millis_testing 210 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