430746 2 Joaquin Vanschoren 4340 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2062 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 10 -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 10 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 769 fri_c1_250_50 https://www.openml.org/data/download/53303/fri_c1_250_50.arff -1 1504878 description https://api.openml.org/data/download/1504878/weka_generated_run9053283753727171837.xml -1 1504881 model_readable https://api.openml.org/data/download/1504881/WekaModel_weka.classifiers.meta.RotationForest7067453909532363992.model -1 1504880 model_serialized https://api.openml.org/data/download/1504880/WekaSerialized_weka.classifiers.meta.RotationForest5555237926794234899.model -1 1504879 predictions https://api.openml.org/data/download/1504879/weka_generated_predictions1187021170476147144.arff area_under_roc_curve 0.805749 [0.805749,0.805749] average_cost 0 f_measure 0.729902 [0.700133,0.754456] kappa 0.454597 kb_relative_information_score 665.75134 mean_absolute_error 0.377463 mean_prior_absolute_error 0.495429 number_of_instances 2500 [1130,1370] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.729823 [0.702944,0.751994] predictive_accuracy 0.73 prior_entropy 0.993447 recall 0.73 [0.697345,0.756934] relative_absolute_error 0.761892 root_mean_prior_squared_error 0.497691 root_mean_squared_error 0.425363 root_relative_squared_error 0.854674 scimark_benchmark 941.868379 [556.5541177310433, 1014.1868590421574, 483.667533998868, 903.9447978596918, 1750.9885882679507] total_cost 0 usercpu_time_millis 330 usercpu_time_millis_testing 70 usercpu_time_millis_training 260 area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.824675 [0.824675,0.824675] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.858974 [0.858974,0.858974] area_under_roc_curve 0.858974 [0.858974,0.858974] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.923077 [0.923077,0.923077] area_under_roc_curve 0.86859 [0.86859,0.86859] area_under_roc_curve 0.603896 [0.603896,0.603896] area_under_roc_curve 0.974026 [0.974026,0.974026] area_under_roc_curve 0.772727 [0.772727,0.772727] area_under_roc_curve 0.724026 [0.724026,0.724026] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.910256 [0.910256,0.910256] area_under_roc_curve 0.842949 [0.842949,0.842949] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.820513 [0.820513,0.820513] area_under_roc_curve 0.897436 [0.897436,0.897436] area_under_roc_curve 0.668831 [0.668831,0.668831] area_under_roc_curve 0.987013 [0.987013,0.987013] area_under_roc_curve 0.883117 [0.883117,0.883117] area_under_roc_curve 0.87013 [0.87013,0.87013] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.794872 [0.794872,0.794872] area_under_roc_curve 0.75641 [0.75641,0.75641] area_under_roc_curve 0.805195 [0.805195,0.805195] area_under_roc_curve 0.871795 [0.871795,0.871795] area_under_roc_curve 0.929487 [0.929487,0.929487] area_under_roc_curve 0.668831 [0.668831,0.668831] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.818182 [0.818182,0.818182] area_under_roc_curve 0.633117 [0.633117,0.633117] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.701299 [0.701299,0.701299] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.772727 [0.772727,0.772727] area_under_roc_curve 0.707792 [0.707792,0.707792] area_under_roc_curve 0.75974 [0.75974,0.75974] area_under_roc_curve 0.87987 [0.87987,0.87987] area_under_roc_curve 0.642857 [0.642857,0.642857] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.850649 [0.850649,0.850649] area_under_roc_curve 0.642857 [0.642857,0.642857] area_under_roc_curve 0.987013 [0.987013,0.987013] area_under_roc_curve 0.87013 [0.87013,0.87013] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.805195 [0.805195,0.805195] area_under_roc_curve 0.753247 [0.753247,0.753247] area_under_roc_curve 0.837662 [0.837662,0.837662] area_under_roc_curve 0.662338 [0.662338,0.662338] area_under_roc_curve 0.707792 [0.707792,0.707792] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.824675 [0.824675,0.824675] area_under_roc_curve 0.785714 [0.785714,0.785714] area_under_roc_curve 0.694805 [0.694805,0.694805] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.961039 [0.961039,0.961039] area_under_roc_curve 0.824675 [0.824675,0.824675] area_under_roc_curve 0.590909 [0.590909,0.590909] area_under_roc_curve 0.805195 [0.805195,0.805195] area_under_roc_curve 0.603896 [0.603896,0.603896] area_under_roc_curve 0.688312 [0.688312,0.688312] area_under_roc_curve 0.766234 [0.766234,0.766234] area_under_roc_curve 0.623377 [0.623377,0.623377] area_under_roc_curve 0.698718 [0.698718,0.698718] area_under_roc_curve 0.891026 [0.891026,0.891026] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.910256 [0.910256,0.910256] area_under_roc_curve 0.74359 [0.74359,0.74359] area_under_roc_curve 0.805195 [0.805195,0.805195] area_under_roc_curve 0.707792 [0.707792,0.707792] area_under_roc_curve 0.903846 [0.903846,0.903846] area_under_roc_curve 0.694805 [0.694805,0.694805] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.788462 [0.788462,0.788462] area_under_roc_curve 0.782051 [0.782051,0.782051] area_under_roc_curve 0.75641 [0.75641,0.75641] area_under_roc_curve 0.711538 [0.711538,0.711538] area_under_roc_curve 0.865385 [0.865385,0.865385] area_under_roc_curve 0.694805 [0.694805,0.694805] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.681818 [0.681818,0.681818] area_under_roc_curve 0.922078 [0.922078,0.922078] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.948718 [0.948718,0.948718] area_under_roc_curve 0.858974 [0.858974,0.858974] area_under_roc_curve 0.903846 [0.903846,0.903846] area_under_roc_curve 0.878205 [0.878205,0.878205] area_under_roc_curve 0.831169 [0.831169,0.831169] area_under_roc_curve 0.798701 [0.798701,0.798701] area_under_roc_curve 0.884615 [0.884615,0.884615] area_under_roc_curve 0.941558 [0.941558,0.941558] area_under_roc_curve 0.785714 [0.785714,0.785714] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.84 [0.818182,0.857143] f_measure 0.756 [0.7,0.8] f_measure 0.800644 [0.782609,0.814815] f_measure 0.628998 [0.526316,0.709677] f_measure 0.800644 [0.782609,0.814815] f_measure 0.76 [0.75,0.769231] f_measure 0.757662 [0.727273,0.785714] f_measure 0.641159 [0.608696,0.666667] f_measure 0.757662 [0.727273,0.785714] f_measure 0.84 [0.833333,0.846154] f_measure 0.614332 [0.470588,0.727273] f_measure 0.879212 [0.857143,0.896552] f_measure 0.664444 [0.555556,0.75] f_measure 0.711443 [0.631579,0.774194] f_measure 0.798686 [0.761905,0.827586] f_measure 0.798068 [0.814815,0.782609] f_measure 0.719098 [0.695652,0.740741] f_measure 0.720902 [0.695652,0.740741] f_measure 0.757662 [0.727273,0.785714] f_measure 0.799356 [0.782609,0.814815] f_measure 0.52 [0.454545,0.571429] f_measure 0.920256 [0.916667,0.923077] f_measure 0.84 [0.818182,0.857143] f_measure 0.793888 [0.736842,0.83871] f_measure 1 [1,1] f_measure 0.72 [0.72,0.72] f_measure 0.64 [0.64,0.64] f_measure 0.720902 [0.695652,0.740741] f_measure 0.799356 [0.782609,0.814815] f_measure 0.88 [0.88,0.88] f_measure 0.601282 [0.583333,0.615385] f_measure 0.880386 [0.869565,0.888889] f_measure 0.664444 [0.555556,0.75] f_measure 0.55711 [0.47619,0.62069] f_measure 0.720902 [0.695652,0.740741] f_measure 0.758462 [0.769231,0.75] f_measure 0.793888 [0.736842,0.83871] f_measure 0.641159 [0.608696,0.666667] f_measure 0.756 [0.7,0.8] f_measure 0.637635 [0.571429,0.689655] f_measure 0.68 [0.636364,0.714286] f_measure 0.6 [0.545455,0.642857] f_measure 0.760769 [0.75,0.769231] f_measure 0.760769 [0.75,0.769231] f_measure 0.720902 [0.695652,0.740741] f_measure 0.84 [0.818182,0.857143] f_measure 0.758462 [0.769231,0.75] f_measure 0.637635 [0.571429,0.689655] f_measure 0.879212 [0.857143,0.896552] f_measure 0.793888 [0.736842,0.83871] f_measure 0.637635 [0.571429,0.689655] f_measure 0.760769 [0.75,0.769231] f_measure 0.64 [0.64,0.64] f_measure 0.793888 [0.736842,0.83871] f_measure 0.597436 [0.615385,0.583333] f_measure 0.614332 [0.470588,0.727273] f_measure 0.681026 [0.666667,0.692308] f_measure 0.748333 [0.666667,0.8125] f_measure 0.681026 [0.666667,0.692308] f_measure 0.552915 [0.592593,0.521739] f_measure 0.720902 [0.695652,0.740741] f_measure 0.56 [0.56,0.56] f_measure 0.92 [0.909091,0.928571] f_measure 0.76 [0.727273,0.785714] f_measure 0.561417 [0.521739,0.592593] f_measure 0.760769 [0.75,0.769231] f_measure 0.593333 [0.5,0.666667] f_measure 0.637635 [0.571429,0.689655] f_measure 0.76 [0.727273,0.785714] f_measure 0.52 [0.454545,0.571429] f_measure 0.68 [0.666667,0.692308] f_measure 0.714483 [0.666667,0.758621] f_measure 0.64 [0.64,0.64] f_measure 0.84 [0.833333,0.846154] f_measure 0.673766 [0.714286,0.636364] f_measure 0.76 [0.727273,0.785714] f_measure 0.72 [0.72,0.72] f_measure 0.752 [0.7,0.8] f_measure 0.56 [0.56,0.56] f_measure 0.8 [0.8,0.8] f_measure 0.717295 [0.740741,0.695652] f_measure 0.68 [0.666667,0.692308] f_measure 0.656667 [0.555556,0.75] f_measure 0.628177 [0.689655,0.571429] f_measure 0.68 [0.666667,0.692308] f_measure 0.637635 [0.571429,0.689655] f_measure 0.798686 [0.761905,0.827586] f_measure 0.76 [0.75,0.769231] f_measure 0.68 [0.636364,0.714286] f_measure 0.798686 [0.761905,0.827586] f_measure 0.719098 [0.695652,0.740741] f_measure 0.838442 [0.818182,0.857143] f_measure 0.799356 [0.782609,0.814815] f_measure 0.799356 [0.782609,0.814815] f_measure 0.757662 [0.727273,0.785714] f_measure 0.756 [0.7,0.8] f_measure 0.76 [0.727273,0.785714] f_measure 0.799356 [0.782609,0.814815] f_measure 0.800644 [0.782609,0.814815] f_measure 0.720902 [0.695652,0.740741] kappa 0.675325 kappa 0.503311 kappa 0.598071 kappa 0.247492 kappa 0.598071 kappa 0.519231 kappa 0.516129 kappa 0.276527 kappa 0.516129 kappa 0.679487 kappa 0.232082 kappa 0.754098 kappa 0.324324 kappa 0.414716 kappa 0.590164 kappa 0.603175 kappa 0.437299 kappa 0.437299 kappa 0.516129 kappa 0.598071 kappa 0.025974 kappa 0.840764 kappa 0.675325 kappa 0.58194 kappa 1 kappa 0.440895 kappa 0.28115 kappa 0.437299 kappa 0.598071 kappa 0.760383 kappa 0.203822 kappa 0.758842 kappa 0.324324 kappa 0.098361 kappa 0.437299 kappa 0.53125 kappa 0.58194 kappa 0.276527 kappa 0.503311 kappa 0.262295 kappa 0.350649 kappa 0.188312 kappa 0.522293 kappa 0.522293 kappa 0.437299 kappa 0.675325 kappa 0.53125 kappa 0.262295 kappa 0.754098 kappa 0.58194 kappa 0.262295 kappa 0.522293 kappa 0.290221 kappa 0.58194 kappa 0.21875 kappa 0.232082 kappa 0.363057 kappa 0.493243 kappa 0.363057 kappa 0.148607 kappa 0.437299 kappa 0.132492 kappa 0.837662 kappa 0.512987 kappa 0.115756 kappa 0.522293 kappa 0.172185 kappa 0.262295 kappa 0.512987 kappa 0.025974 kappa 0.358974 kappa 0.433657 kappa 0.28115 kappa 0.679487 kappa 0.367089 kappa 0.512987 kappa 0.44795 kappa 0.512987 kappa 0.132492 kappa 0.605678 kappa 0.444444 kappa 0.358974 kappa 0.346405 kappa 0.290221 kappa 0.358974 kappa 0.262295 kappa 0.590164 kappa 0.519231 kappa 0.350649 kappa 0.590164 kappa 0.437299 kappa 0.677419 kappa 0.598071 kappa 0.598071 kappa 0.516129 kappa 0.503311 kappa 0.512987 kappa 0.598071 kappa 0.598071 kappa 0.437299 kb_relative_information_score 8.312479 kb_relative_information_score 6.168113 kb_relative_information_score 6.058665 kb_relative_information_score 4.90441 kb_relative_information_score 7.191566 kb_relative_information_score 8.656479 kb_relative_information_score 7.667267 kb_relative_information_score 5.503264 kb_relative_information_score 10.423605 kb_relative_information_score 7.68227 kb_relative_information_score 3.289447 kb_relative_information_score 12.508541 kb_relative_information_score 6.25729 kb_relative_information_score 4.701047 kb_relative_information_score 8.471058 kb_relative_information_score 8.67926 kb_relative_information_score 8.787437 kb_relative_information_score 7.344191 kb_relative_information_score 8.402451 kb_relative_information_score 8.727266 kb_relative_information_score 3.061614 kb_relative_information_score 11.56874 kb_relative_information_score 9.843458 kb_relative_information_score 7.464273 kb_relative_information_score 12.65647 kb_relative_information_score 6.957807 kb_relative_information_score 5.460872 kb_relative_information_score 6.857441 kb_relative_information_score 8.120593 kb_relative_information_score 10.959626 kb_relative_information_score 4.266804 kb_relative_information_score 10.477457 kb_relative_information_score 6.40845 kb_relative_information_score 1.752558 kb_relative_information_score 5.095864 kb_relative_information_score 4.359828 kb_relative_information_score 6.401002 kb_relative_information_score 6.519319 kb_relative_information_score 8.775332 kb_relative_information_score 4.056435 kb_relative_information_score 5.391673 kb_relative_information_score 4.439501 kb_relative_information_score 6.203389 kb_relative_information_score 6.52104 kb_relative_information_score 3.87746 kb_relative_information_score 8.020865 kb_relative_information_score 7.255556 kb_relative_information_score 3.096378 kb_relative_information_score 12.187589 kb_relative_information_score 8.399953 kb_relative_information_score 4.246332 kb_relative_information_score 7.938736 kb_relative_information_score 5.405748 kb_relative_information_score 8.31847 kb_relative_information_score 2.57609 kb_relative_information_score 4.403689 kb_relative_information_score 4.963936 kb_relative_information_score 7.732113 kb_relative_information_score 5.714609 kb_relative_information_score 2.760673 kb_relative_information_score 5.541224 kb_relative_information_score 4.566634 kb_relative_information_score 11.585341 kb_relative_information_score 8.421739 kb_relative_information_score 1.139844 kb_relative_information_score 5.166562 kb_relative_information_score 3.015273 kb_relative_information_score 4.121498 kb_relative_information_score 5.687936 kb_relative_information_score 2.775422 kb_relative_information_score 4.868428 kb_relative_information_score 7.727531 kb_relative_information_score 3.812642 kb_relative_information_score 8.448082 kb_relative_information_score 5.480862 kb_relative_information_score 5.421415 kb_relative_information_score 6.012505 kb_relative_information_score 7.02019 kb_relative_information_score 3.751268 kb_relative_information_score 10.152786 kb_relative_information_score 5.482545 kb_relative_information_score 6.668501 kb_relative_information_score 4.898022 kb_relative_information_score 5.005496 kb_relative_information_score 7.284165 kb_relative_information_score 4.255163 kb_relative_information_score 8.103593 kb_relative_information_score 6.085113 kb_relative_information_score 3.982084 kb_relative_information_score 8.385415 kb_relative_information_score 6.636138 kb_relative_information_score 10.444575 kb_relative_information_score 8.650281 kb_relative_information_score 9.833599 kb_relative_information_score 7.528351 kb_relative_information_score 7.454151 kb_relative_information_score 6.247114 kb_relative_information_score 9.216242 kb_relative_information_score 8.413815 kb_relative_information_score 6.20595 mean_absolute_error 0.351781 mean_absolute_error 0.383779 mean_absolute_error 0.3915 mean_absolute_error 0.405169 mean_absolute_error 0.373458 mean_absolute_error 0.344537 mean_absolute_error 0.368781 mean_absolute_error 0.395733 mean_absolute_error 0.30897 mean_absolute_error 0.370911 mean_absolute_error 0.432747 mean_absolute_error 0.272215 mean_absolute_error 0.378093 mean_absolute_error 0.410774 mean_absolute_error 0.348153 mean_absolute_error 0.344414 mean_absolute_error 0.338473 mean_absolute_error 0.362915 mean_absolute_error 0.348399 mean_absolute_error 0.347964 mean_absolute_error 0.431437 mean_absolute_error 0.29273 mean_absolute_error 0.318165 mean_absolute_error 0.361086 mean_absolute_error 0.271775 mean_absolute_error 0.374693 mean_absolute_error 0.400085 mean_absolute_error 0.367306 mean_absolute_error 0.356257 mean_absolute_error 0.308009 mean_absolute_error 0.410027 mean_absolute_error 0.309043 mean_absolute_error 0.378841 mean_absolute_error 0.464863 mean_absolute_error 0.400151 mean_absolute_error 0.420116 mean_absolute_error 0.381469 mean_absolute_error 0.376938 mean_absolute_error 0.338593 mean_absolute_error 0.423387 mean_absolute_error 0.398513 mean_absolute_error 0.410683 mean_absolute_error 0.382813 mean_absolute_error 0.382534 mean_absolute_error 0.429369 mean_absolute_error 0.353722 mean_absolute_error 0.368131 mean_absolute_error 0.440164 mean_absolute_error 0.277899 mean_absolute_error 0.343332 mean_absolute_error 0.417283 mean_absolute_error 0.354712 mean_absolute_error 0.394743 mean_absolute_error 0.344892 mean_absolute_error 0.445509 mean_absolute_error 0.415508 mean_absolute_error 0.405949 mean_absolute_error 0.357008 mean_absolute_error 0.39362 mean_absolute_error 0.443097 mean_absolute_error 0.397177 mean_absolute_error 0.407598 mean_absolute_error 0.293737 mean_absolute_error 0.336881 mean_absolute_error 0.474483 mean_absolute_error 0.40812 mean_absolute_error 0.439876 mean_absolute_error 0.418552 mean_absolute_error 0.394409 mean_absolute_error 0.437968 mean_absolute_error 0.413573 mean_absolute_error 0.362753 mean_absolute_error 0.429483 mean_absolute_error 0.351313 mean_absolute_error 0.403252 mean_absolute_error 0.398702 mean_absolute_error 0.383769 mean_absolute_error 0.378338 mean_absolute_error 0.424293 mean_absolute_error 0.309928 mean_absolute_error 0.402672 mean_absolute_error 0.379847 mean_absolute_error 0.411515 mean_absolute_error 0.409059 mean_absolute_error 0.369962 mean_absolute_error 0.410199 mean_absolute_error 0.350951 mean_absolute_error 0.394187 mean_absolute_error 0.42916 mean_absolute_error 0.347248 mean_absolute_error 0.381711 mean_absolute_error 0.317489 mean_absolute_error 0.346822 mean_absolute_error 0.321243 mean_absolute_error 0.370241 mean_absolute_error 0.368766 mean_absolute_error 0.383385 mean_absolute_error 0.331967 mean_absolute_error 0.350794 mean_absolute_error 0.381656 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 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 [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 [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 [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 0.84 [0.818182,0.857143] precision 0.762222 [0.777778,0.75] precision 0.803846 [0.75,0.846154] precision 0.637353 [0.625,0.647059] precision 0.803846 [0.75,0.846154] precision 0.76 [0.75,0.769231] precision 0.765333 [0.8,0.733333] precision 0.644359 [0.583333,0.692308] precision 0.765333 [0.8,0.733333] precision 0.84 [0.833333,0.846154] precision 0.647018 [0.666667,0.631579] precision 0.881333 [0.9,0.866667] precision 0.687619 [0.714286,0.666667] precision 0.725294 [0.75,0.705882] precision 0.8 [0.8,0.8] precision 0.82 [0.733333,0.9] precision 0.720519 [0.727273,0.714286] precision 0.724103 [0.666667,0.769231] precision 0.765333 [0.8,0.733333] precision 0.801299 [0.818182,0.785714] precision 0.52 [0.454545,0.571429] precision 0.932308 [0.846154,1] precision 0.84 [0.818182,0.857143] precision 0.813235 [0.875,0.764706] precision 1 [1,1] precision 0.722308 [0.692308,0.75] precision 0.642051 [0.615385,0.666667] precision 0.724103 [0.666667,0.769231] precision 0.801299 [0.818182,0.785714] precision 0.882821 [0.846154,0.916667] precision 0.610256 [0.538462,0.666667] precision 0.88359 [0.833333,0.923077] precision 0.687619 [0.714286,0.666667] precision 0.556 [0.5,0.6] precision 0.724103 [0.666667,0.769231] precision 0.797333 [0.666667,0.9] precision 0.813235 [0.875,0.764706] precision 0.644359 [0.583333,0.692308] precision 0.762222 [0.777778,0.75] precision 0.637333 [0.6,0.666667] precision 0.68 [0.636364,0.714286] precision 0.6 [0.545455,0.642857] precision 0.771282 [0.692308,0.833333] precision 0.771282 [0.692308,0.833333] precision 0.724103 [0.666667,0.769231] precision 0.84 [0.818182,0.857143] precision 0.797333 [0.666667,0.9] precision 0.637333 [0.6,0.666667] precision 0.881333 [0.9,0.866667] precision 0.813235 [0.875,0.764706] precision 0.637333 [0.6,0.666667] precision 0.771282 [0.692308,0.833333] precision 0.658701 [0.571429,0.727273] precision 0.813235 [0.875,0.764706] precision 0.626667 [0.533333,0.7] precision 0.647018 [0.666667,0.631579] precision 0.690769 [0.615385,0.75] precision 0.781587 [0.857143,0.722222] precision 0.690769 [0.615385,0.75] precision 0.593333 [0.5,0.666667] precision 0.724103 [0.666667,0.769231] precision 0.576364 [0.5,0.636364] precision 0.92 [0.909091,0.928571] precision 0.76 [0.727273,0.785714] precision 0.564615 [0.5,0.615385] precision 0.771282 [0.692308,0.833333] precision 0.594444 [0.555556,0.625] precision 0.637333 [0.6,0.666667] precision 0.76 [0.727273,0.785714] precision 0.52 [0.454545,0.571429] precision 0.68 [0.666667,0.692308] precision 0.730833 [0.777778,0.6875] precision 0.642051 [0.615385,0.666667] precision 0.84 [0.833333,0.846154] precision 0.704444 [0.625,0.777778] precision 0.76 [0.727273,0.785714] precision 0.741039 [0.642857,0.818182] precision 0.787059 [0.875,0.705882] precision 0.576364 [0.5,0.636364] precision 0.823377 [0.714286,0.909091] precision 0.736 [0.666667,0.8] precision 0.68 [0.666667,0.692308] precision 0.728421 [0.833333,0.631579] precision 0.672353 [0.588235,0.75] precision 0.68 [0.666667,0.692308] precision 0.637333 [0.6,0.666667] precision 0.8 [0.8,0.8] precision 0.76 [0.75,0.769231] precision 0.68 [0.636364,0.714286] precision 0.8 [0.8,0.8] precision 0.720519 [0.727273,0.714286] precision 0.848 [0.9,0.8] precision 0.801299 [0.818182,0.785714] precision 0.801299 [0.818182,0.785714] precision 0.765333 [0.8,0.733333] precision 0.762222 [0.777778,0.75] precision 0.76 [0.727273,0.785714] precision 0.801299 [0.818182,0.785714] precision 0.803846 [0.75,0.846154] precision 0.724103 [0.666667,0.769231] predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.64 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.52 predictive_accuracy 0.92 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.6 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.56 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.56 predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.92 predictive_accuracy 0.76 predictive_accuracy 0.56 predictive_accuracy 0.76 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.52 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.56 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.72 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 recall 0.84 [0.818182,0.857143] recall 0.76 [0.636364,0.857143] recall 0.8 [0.818182,0.785714] recall 0.64 [0.454545,0.785714] recall 0.8 [0.818182,0.785714] recall 0.76 [0.75,0.769231] recall 0.76 [0.666667,0.846154] recall 0.64 [0.636364,0.642857] recall 0.76 [0.666667,0.846154] recall 0.84 [0.833333,0.846154] recall 0.64 [0.363636,0.857143] recall 0.88 [0.818182,0.928571] recall 0.68 [0.454545,0.857143] recall 0.72 [0.545455,0.857143] recall 0.8 [0.727273,0.857143] recall 0.8 [0.916667,0.692308] recall 0.72 [0.666667,0.769231] recall 0.72 [0.727273,0.714286] recall 0.76 [0.666667,0.846154] recall 0.8 [0.75,0.846154] recall 0.52 [0.454545,0.571429] recall 0.92 [1,0.857143] recall 0.84 [0.818182,0.857143] recall 0.8 [0.636364,0.928571] recall 1 [1,1] recall 0.72 [0.75,0.692308] recall 0.64 [0.666667,0.615385] recall 0.72 [0.727273,0.714286] recall 0.8 [0.75,0.846154] recall 0.88 [0.916667,0.846154] recall 0.6 [0.636364,0.571429] recall 0.88 [0.909091,0.857143] recall 0.68 [0.454545,0.857143] recall 0.56 [0.454545,0.642857] recall 0.72 [0.727273,0.714286] recall 0.76 [0.909091,0.642857] recall 0.8 [0.636364,0.928571] recall 0.64 [0.636364,0.642857] recall 0.76 [0.636364,0.857143] recall 0.64 [0.545455,0.714286] recall 0.68 [0.636364,0.714286] recall 0.6 [0.545455,0.642857] recall 0.76 [0.818182,0.714286] recall 0.76 [0.818182,0.714286] recall 0.72 [0.727273,0.714286] recall 0.84 [0.818182,0.857143] recall 0.76 [0.909091,0.642857] recall 0.64 [0.545455,0.714286] recall 0.88 [0.818182,0.928571] recall 0.8 [0.636364,0.928571] recall 0.64 [0.545455,0.714286] recall 0.76 [0.818182,0.714286] recall 0.64 [0.727273,0.571429] recall 0.8 [0.636364,0.928571] recall 0.6 [0.727273,0.5] recall 0.64 [0.363636,0.857143] recall 0.68 [0.727273,0.642857] recall 0.76 [0.545455,0.928571] recall 0.68 [0.727273,0.642857] recall 0.56 [0.727273,0.428571] recall 0.72 [0.727273,0.714286] recall 0.56 [0.636364,0.5] recall 0.92 [0.909091,0.928571] recall 0.76 [0.727273,0.785714] recall 0.56 [0.545455,0.571429] recall 0.76 [0.818182,0.714286] recall 0.6 [0.454545,0.714286] recall 0.64 [0.545455,0.714286] recall 0.76 [0.727273,0.785714] recall 0.52 [0.454545,0.571429] recall 0.68 [0.666667,0.692308] recall 0.72 [0.583333,0.846154] recall 0.64 [0.666667,0.615385] recall 0.84 [0.833333,0.846154] recall 0.68 [0.833333,0.538462] recall 0.76 [0.727273,0.785714] recall 0.72 [0.818182,0.642857] recall 0.76 [0.583333,0.923077] recall 0.56 [0.636364,0.5] recall 0.8 [0.909091,0.714286] recall 0.72 [0.833333,0.615385] recall 0.68 [0.666667,0.692308] recall 0.68 [0.416667,0.923077] recall 0.64 [0.833333,0.461538] recall 0.68 [0.666667,0.692308] recall 0.64 [0.545455,0.714286] recall 0.8 [0.727273,0.857143] recall 0.76 [0.75,0.769231] recall 0.68 [0.636364,0.714286] recall 0.8 [0.727273,0.857143] recall 0.72 [0.666667,0.769231] recall 0.84 [0.75,0.923077] recall 0.8 [0.75,0.846154] recall 0.8 [0.75,0.846154] recall 0.76 [0.666667,0.846154] recall 0.76 [0.636364,0.857143] recall 0.76 [0.727273,0.785714] recall 0.8 [0.75,0.846154] recall 0.8 [0.818182,0.785714] recall 0.72 [0.727273,0.714286] relative_absolute_error 0.711696 relative_absolute_error 0.776432 relative_absolute_error 0.792051 relative_absolute_error 0.819706 relative_absolute_error 0.75555 relative_absolute_error 0.691709 relative_absolute_error 0.740382 relative_absolute_error 0.800615 relative_absolute_error 0.620303 relative_absolute_error 0.744659 relative_absolute_error 0.875499 relative_absolute_error 0.550724 relative_absolute_error 0.764928 relative_absolute_error 0.831046 relative_absolute_error 0.704356 relative_absolute_error 0.691461 relative_absolute_error 0.679534 relative_absolute_error 0.73422 relative_absolute_error 0.699462 relative_absolute_error 0.69859 relative_absolute_error 0.87285 relative_absolute_error 0.592229 relative_absolute_error 0.643686 relative_absolute_error 0.730522 relative_absolute_error 0.549834 relative_absolute_error 0.752251 relative_absolute_error 0.80323 relative_absolute_error 0.743104 relative_absolute_error 0.715238 relative_absolute_error 0.618375 relative_absolute_error 0.829534 relative_absolute_error 0.625231 relative_absolute_error 0.766441 relative_absolute_error 0.940474 relative_absolute_error 0.809555 relative_absolute_error 0.849945 relative_absolute_error 0.771759 relative_absolute_error 0.76259 relative_absolute_error 0.685014 relative_absolute_error 0.856562 relative_absolute_error 0.80624 relative_absolute_error 0.830861 relative_absolute_error 0.774478 relative_absolute_error 0.773912 relative_absolute_error 0.868666 relative_absolute_error 0.715623 relative_absolute_error 0.744774 relative_absolute_error 0.890504 relative_absolute_error 0.562223 relative_absolute_error 0.694602 relative_absolute_error 0.844213 relative_absolute_error 0.717626 relative_absolute_error 0.798612 relative_absolute_error 0.697758 relative_absolute_error 0.901318 relative_absolute_error 0.840624 relative_absolute_error 0.821284 relative_absolute_error 0.722271 relative_absolute_error 0.796341 relative_absolute_error 0.896438 relative_absolute_error 0.803536 relative_absolute_error 0.824621 relative_absolute_error 0.594266 relative_absolute_error 0.681551 relative_absolute_error 0.959937 relative_absolute_error 0.825676 relative_absolute_error 0.889922 relative_absolute_error 0.846782 relative_absolute_error 0.797938 relative_absolute_error 0.886063 relative_absolute_error 0.830308 relative_absolute_error 0.72828 relative_absolute_error 0.862251 relative_absolute_error 0.705312 relative_absolute_error 0.809587 relative_absolute_error 0.806623 relative_absolute_error 0.776411 relative_absolute_error 0.759569 relative_absolute_error 0.858397 relative_absolute_error 0.627021 relative_absolute_error 0.808424 relative_absolute_error 0.762599 relative_absolute_error 0.826178 relative_absolute_error 0.821246 relative_absolute_error 0.742755 relative_absolute_error 0.829882 relative_absolute_error 0.710017 relative_absolute_error 0.791388 relative_absolute_error 0.868244 relative_absolute_error 0.702525 relative_absolute_error 0.766341 relative_absolute_error 0.637407 relative_absolute_error 0.696297 relative_absolute_error 0.644943 relative_absolute_error 0.743315 relative_absolute_error 0.746058 relative_absolute_error 0.775635 relative_absolute_error 0.666473 relative_absolute_error 0.709699 relative_absolute_error 0.772136 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_squared_error 0.387808 root_mean_squared_error 0.427276 root_mean_squared_error 0.420934 root_mean_squared_error 0.456652 root_mean_squared_error 0.395933 root_mean_squared_error 0.39186 root_mean_squared_error 0.408364 root_mean_squared_error 0.453592 root_mean_squared_error 0.363735 root_mean_squared_error 0.409294 root_mean_squared_error 0.482221 root_mean_squared_error 0.317275 root_mean_squared_error 0.439568 root_mean_squared_error 0.465272 root_mean_squared_error 0.376564 root_mean_squared_error 0.389224 root_mean_squared_error 0.391312 root_mean_squared_error 0.408179 root_mean_squared_error 0.403785 root_mean_squared_error 0.389075 root_mean_squared_error 0.49901 root_mean_squared_error 0.326873 root_mean_squared_error 0.377314 root_mean_squared_error 0.405054 root_mean_squared_error 0.310436 root_mean_squared_error 0.415464 root_mean_squared_error 0.442105 root_mean_squared_error 0.435239 root_mean_squared_error 0.39396 root_mean_squared_error 0.346482 root_mean_squared_error 0.461911 root_mean_squared_error 0.364474 root_mean_squared_error 0.425556 root_mean_squared_error 0.489359 root_mean_squared_error 0.448818 root_mean_squared_error 0.456917 root_mean_squared_error 0.442369 root_mean_squared_error 0.425166 root_mean_squared_error 0.391761 root_mean_squared_error 0.464548 root_mean_squared_error 0.437604 root_mean_squared_error 0.453491 root_mean_squared_error 0.434627 root_mean_squared_error 0.409458 root_mean_squared_error 0.491789 root_mean_squared_error 0.389963 root_mean_squared_error 0.416349 root_mean_squared_error 0.480345 root_mean_squared_error 0.319988 root_mean_squared_error 0.386874 root_mean_squared_error 0.451431 root_mean_squared_error 0.417874 root_mean_squared_error 0.433048 root_mean_squared_error 0.405662 root_mean_squared_error 0.499597 root_mean_squared_error 0.469421 root_mean_squared_error 0.448118 root_mean_squared_error 0.417885 root_mean_squared_error 0.430448 root_mean_squared_error 0.482896 root_mean_squared_error 0.449242 root_mean_squared_error 0.451651 root_mean_squared_error 0.326314 root_mean_squared_error 0.39887 root_mean_squared_error 0.490404 root_mean_squared_error 0.429955 root_mean_squared_error 0.491659 root_mean_squared_error 0.463112 root_mean_squared_error 0.457963 root_mean_squared_error 0.509975 root_mean_squared_error 0.465842 root_mean_squared_error 0.399351 root_mean_squared_error 0.481364 root_mean_squared_error 0.389476 root_mean_squared_error 0.451398 root_mean_squared_error 0.432491 root_mean_squared_error 0.453361 root_mean_squared_error 0.4053 root_mean_squared_error 0.467367 root_mean_squared_error 0.365803 root_mean_squared_error 0.43802 root_mean_squared_error 0.457035 root_mean_squared_error 0.4547 root_mean_squared_error 0.459339 root_mean_squared_error 0.406794 root_mean_squared_error 0.464458 root_mean_squared_error 0.399477 root_mean_squared_error 0.430961 root_mean_squared_error 0.475413 root_mean_squared_error 0.383829 root_mean_squared_error 0.434077 root_mean_squared_error 0.353739 root_mean_squared_error 0.387473 root_mean_squared_error 0.374458 root_mean_squared_error 0.400771 root_mean_squared_error 0.416348 root_mean_squared_error 0.425744 root_mean_squared_error 0.383166 root_mean_squared_error 0.380222 root_mean_squared_error 0.43023 root_relative_squared_error 0.781018 root_relative_squared_error 0.860505 root_relative_squared_error 0.847733 root_relative_squared_error 0.919666 root_relative_squared_error 0.797382 root_relative_squared_error 0.783152 root_relative_squared_error 0.816136 root_relative_squared_error 0.913502 root_relative_squared_error 0.726942 root_relative_squared_error 0.817994 root_relative_squared_error 0.97116 root_relative_squared_error 0.638971 root_relative_squared_error 0.88526 root_relative_squared_error 0.937026 root_relative_squared_error 0.758373 root_relative_squared_error 0.777883 root_relative_squared_error 0.782058 root_relative_squared_error 0.822045 root_relative_squared_error 0.806986 root_relative_squared_error 0.777586 root_relative_squared_error 1.004972 root_relative_squared_error 0.658299 root_relative_squared_error 0.759885 root_relative_squared_error 0.815751 root_relative_squared_error 0.625196 root_relative_squared_error 0.830326 root_relative_squared_error 0.883569 root_relative_squared_error 0.876542 root_relative_squared_error 0.787349 root_relative_squared_error 0.692461 root_relative_squared_error 0.930258 root_relative_squared_error 0.734025 root_relative_squared_error 0.85704 root_relative_squared_error 0.985535 root_relative_squared_error 0.903889 root_relative_squared_error 0.920199 root_relative_squared_error 0.8909 root_relative_squared_error 0.856254 root_relative_squared_error 0.78898 root_relative_squared_error 0.935569 root_relative_squared_error 0.881305 root_relative_squared_error 0.9133 root_relative_squared_error 0.875309 root_relative_squared_error 0.824621 root_relative_squared_error 0.99043 root_relative_squared_error 0.785358 root_relative_squared_error 0.838497 root_relative_squared_error 0.967381 root_relative_squared_error 0.644434 root_relative_squared_error 0.779138 root_relative_squared_error 0.909151 root_relative_squared_error 0.84157 root_relative_squared_error 0.872129 root_relative_squared_error 0.816976 root_relative_squared_error 1.006154 root_relative_squared_error 0.945381 root_relative_squared_error 0.902478 root_relative_squared_error 0.841591 root_relative_squared_error 0.866893 root_relative_squared_error 0.972518 root_relative_squared_error 0.904742 root_relative_squared_error 0.909594 root_relative_squared_error 0.657173 root_relative_squared_error 0.803296 root_relative_squared_error 0.987641 root_relative_squared_error 0.865899 root_relative_squared_error 0.990168 root_relative_squared_error 0.932676 root_relative_squared_error 0.922307 root_relative_squared_error 1.027054 root_relative_squared_error 0.931008 root_relative_squared_error 0.798123 root_relative_squared_error 0.96203 root_relative_squared_error 0.778388 root_relative_squared_error 0.902142 root_relative_squared_error 0.871008 root_relative_squared_error 0.913038 root_relative_squared_error 0.810012 root_relative_squared_error 0.941244 root_relative_squared_error 0.736703 root_relative_squared_error 0.875405 root_relative_squared_error 0.913407 root_relative_squared_error 0.908741 root_relative_squared_error 0.918012 root_relative_squared_error 0.812999 root_relative_squared_error 0.935386 root_relative_squared_error 0.804518 root_relative_squared_error 0.861298 root_relative_squared_error 0.957449 root_relative_squared_error 0.773006 root_relative_squared_error 0.867524 root_relative_squared_error 0.706965 root_relative_squared_error 0.774384 root_relative_squared_error 0.748373 root_relative_squared_error 0.800961 root_relative_squared_error 0.838496 root_relative_squared_error 0.857419 root_relative_squared_error 0.765776 root_relative_squared_error 0.765741 root_relative_squared_error 0.866453 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 400 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 230 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 410 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 260 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 240 usercpu_time_millis 230 usercpu_time_millis 400 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 240 usercpu_time_millis 230 usercpu_time_millis 230 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 400 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 270 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 230 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 270 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 230 usercpu_time_millis 240 usercpu_time_millis 260 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 240 usercpu_time_millis 230 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 270 usercpu_time_millis 270 usercpu_time_millis 250 usercpu_time_millis 230 usercpu_time_millis 270 usercpu_time_millis 250 usercpu_time_millis 240 usercpu_time_millis 230 usercpu_time_millis 240 usercpu_time_millis 230 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 240 usercpu_time_millis 260 usercpu_time_millis 310 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 230 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 230 usercpu_time_millis 250 usercpu_time_millis 230 usercpu_time_millis 240 usercpu_time_millis 260 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 260 usercpu_time_millis 250 usercpu_time_millis 240 usercpu_time_millis 250 usercpu_time_millis 240 usercpu_time_millis 230 usercpu_time_millis 260 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_training 380 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 240 usercpu_time_millis_training 220 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 400 usercpu_time_millis_training 260 usercpu_time_millis_training 240 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 250 usercpu_time_millis_training 230 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 220 usercpu_time_millis_training 380 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 220 usercpu_time_millis_training 230 usercpu_time_millis_training 240 usercpu_time_millis_training 380 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 260 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 220 usercpu_time_millis_training 230 usercpu_time_millis_training 240 usercpu_time_millis_training 260 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 240 usercpu_time_millis_training 260 usercpu_time_millis_training 260 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 260 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 220 usercpu_time_millis_training 230 usercpu_time_millis_training 220 usercpu_time_millis_training 250 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 250 usercpu_time_millis_training 300 usercpu_time_millis_training 230 usercpu_time_millis_training 240 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 230 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 220 usercpu_time_millis_training 240 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 250 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 240 usercpu_time_millis_training 240 usercpu_time_millis_training 250 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 250