450730 2 Joaquin Vanschoren 4432 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 863 fri_c4_250_10 https://www.openml.org/data/download/53397/fri_c4_250_10.arff -1 1581277 description https://api.openml.org/data/download/1581277/weka_generated_run8793885661308034108.xml -1 1581280 model_readable https://api.openml.org/data/download/1581280/WekaModel_weka.classifiers.functions.LibSVM7806119119449569227.model -1 1581279 model_serialized https://api.openml.org/data/download/1581279/WekaSerialized_weka.classifiers.functions.LibSVM1436604020692416666.model -1 1581278 predictions https://api.openml.org/data/download/1581278/weka_generated_predictions8652557198102764570.arff area_under_roc_curve 0.674912 [0.674912,0.674912] average_cost 0 f_measure 0.67767 [0.630897,0.718816] kappa 0.353054 kb_relative_information_score 894.561457 mean_absolute_error 0.3192 mean_prior_absolute_error 0.497968 number_of_instances 2500 [1170,1330] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.681591 [0.6875,0.676393] predictive_accuracy 0.6808 prior_entropy 0.99709 recall 0.6808 [0.582906,0.766917] relative_absolute_error 0.641005 root_mean_prior_squared_error 0.498975 root_mean_squared_error 0.564978 root_relative_squared_error 1.132277 scimark_benchmark 926.546203 [557.6216842393322, 1007.8216880702337, 469.2927333365945, 906.1320034329636, 1691.8629055716406] total_cost 0 usercpu_time_millis 30 usercpu_time_millis_testing 10 usercpu_time_millis_training 20 area_under_roc_curve 0.512987 [0.512987,0.512987] area_under_roc_curve 0.701299 [0.701299,0.701299] area_under_roc_curve 0.675325 [0.675325,0.675325] area_under_roc_curve 0.62013 [0.62013,0.62013] area_under_roc_curve 0.665584 [0.665584,0.665584] area_under_roc_curve 0.548077 [0.548077,0.548077] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.584416 [0.584416,0.584416] area_under_roc_curve 0.762821 [0.762821,0.762821] area_under_roc_curve 0.798077 [0.798077,0.798077] area_under_roc_curve 0.665584 [0.665584,0.665584] area_under_roc_curve 0.594156 [0.594156,0.594156] area_under_roc_curve 0.756494 [0.756494,0.756494] area_under_roc_curve 0.568182 [0.568182,0.568182] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.714744 [0.714744,0.714744] area_under_roc_curve 0.634615 [0.634615,0.634615] area_under_roc_curve 0.62013 [0.62013,0.62013] area_under_roc_curve 0.63141 [0.63141,0.63141] area_under_roc_curve 0.676282 [0.676282,0.676282] area_under_roc_curve 0.711039 [0.711039,0.711039] area_under_roc_curve 0.694805 [0.694805,0.694805] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.584416 [0.584416,0.584416] area_under_roc_curve 0.62013 [0.62013,0.62013] area_under_roc_curve 0.673077 [0.673077,0.673077] area_under_roc_curve 0.753205 [0.753205,0.753205] area_under_roc_curve 0.594156 [0.594156,0.594156] area_under_roc_curve 0.714744 [0.714744,0.714744] area_under_roc_curve 0.557692 [0.557692,0.557692] area_under_roc_curve 0.596154 [0.596154,0.596154] area_under_roc_curve 0.63141 [0.63141,0.63141] area_under_roc_curve 0.711538 [0.711538,0.711538] area_under_roc_curve 0.759615 [0.759615,0.759615] area_under_roc_curve 0.63141 [0.63141,0.63141] area_under_roc_curve 0.721154 [0.721154,0.721154] area_under_roc_curve 0.762821 [0.762821,0.762821] area_under_roc_curve 0.798077 [0.798077,0.798077] area_under_roc_curve 0.679487 [0.679487,0.679487] area_under_roc_curve 0.75641 [0.75641,0.75641] area_under_roc_curve 0.759615 [0.759615,0.759615] area_under_roc_curve 0.721154 [0.721154,0.721154] area_under_roc_curve 0.676282 [0.676282,0.676282] area_under_roc_curve 0.721154 [0.721154,0.721154] area_under_roc_curve 0.605769 [0.605769,0.605769] area_under_roc_curve 0.753205 [0.753205,0.753205] area_under_roc_curve 0.602564 [0.602564,0.602564] area_under_roc_curve 0.679487 [0.679487,0.679487] area_under_roc_curve 0.634615 [0.634615,0.634615] area_under_roc_curve 0.762821 [0.762821,0.762821] area_under_roc_curve 0.669872 [0.669872,0.669872] area_under_roc_curve 0.592949 [0.592949,0.592949] area_under_roc_curve 0.557692 [0.557692,0.557692] area_under_roc_curve 0.836538 [0.836538,0.836538] area_under_roc_curve 0.641026 [0.641026,0.641026] area_under_roc_curve 0.919872 [0.919872,0.919872] area_under_roc_curve 0.599359 [0.599359,0.599359] area_under_roc_curve 0.673077 [0.673077,0.673077] area_under_roc_curve 0.596154 [0.596154,0.596154] area_under_roc_curve 0.669872 [0.669872,0.669872] area_under_roc_curve 0.753205 [0.753205,0.753205] area_under_roc_curve 0.75641 [0.75641,0.75641] area_under_roc_curve 0.724359 [0.724359,0.724359] area_under_roc_curve 0.551282 [0.551282,0.551282] area_under_roc_curve 0.714744 [0.714744,0.714744] area_under_roc_curve 0.669872 [0.669872,0.669872] area_under_roc_curve 0.711538 [0.711538,0.711538] area_under_roc_curve 0.669872 [0.669872,0.669872] area_under_roc_curve 0.673077 [0.673077,0.673077] area_under_roc_curve 0.474359 [0.474359,0.474359] area_under_roc_curve 0.721154 [0.721154,0.721154] area_under_roc_curve 0.551282 [0.551282,0.551282] area_under_roc_curve 0.432692 [0.432692,0.432692] area_under_roc_curve 0.592949 [0.592949,0.592949] area_under_roc_curve 0.544872 [0.544872,0.544872] area_under_roc_curve 0.649351 [0.649351,0.649351] area_under_roc_curve 0.685065 [0.685065,0.685065] area_under_roc_curve 0.714744 [0.714744,0.714744] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.568182 [0.568182,0.568182] area_under_roc_curve 0.794872 [0.794872,0.794872] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.669872 [0.669872,0.669872] area_under_roc_curve 0.878205 [0.878205,0.878205] area_under_roc_curve 0.634615 [0.634615,0.634615] area_under_roc_curve 0.538961 [0.538961,0.538961] area_under_roc_curve 0.62987 [0.62987,0.62987] area_under_roc_curve 0.634615 [0.634615,0.634615] area_under_roc_curve 0.837662 [0.837662,0.837662] area_under_roc_curve 0.564935 [0.564935,0.564935] area_under_roc_curve 0.721154 [0.721154,0.721154] area_under_roc_curve 0.637821 [0.637821,0.637821] area_under_roc_curve 0.753205 [0.753205,0.753205] area_under_roc_curve 0.637821 [0.637821,0.637821] area_under_roc_curve 0.753205 [0.753205,0.753205] area_under_roc_curve 0.685065 [0.685065,0.685065] area_under_roc_curve 0.737013 [0.737013,0.737013] area_under_roc_curve 0.766026 [0.766026,0.766026] area_under_roc_curve 0.584416 [0.584416,0.584416] area_under_roc_curve 0.737013 [0.737013,0.737013] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.52 [0.454545,0.571429] f_measure 0.711443 [0.631579,0.774194] f_measure 0.68 [0.636364,0.714286] f_measure 0.628998 [0.526316,0.709677] f_measure 0.674667 [0.6,0.733333] f_measure 0.516078 [0.352941,0.666667] f_measure 0.789813 [0.736842,0.83871] f_measure 0.593333 [0.5,0.666667] f_measure 0.759231 [0.769231,0.75] f_measure 0.799356 [0.782609,0.814815] f_measure 0.674667 [0.6,0.733333] f_measure 0.6 [0.545455,0.642857] f_measure 0.76 [0.727273,0.785714] f_measure 0.56 [0.56,0.56] f_measure 0.798686 [0.761905,0.827586] f_measure 0.714483 [0.666667,0.758621] f_measure 0.632906 [0.571429,0.689655] f_measure 0.628998 [0.526316,0.709677] f_measure 0.621664 [0.526316,0.709677] f_measure 0.676883 [0.636364,0.714286] f_measure 0.718161 [0.666667,0.758621] f_measure 0.677949 [0.692308,0.666667] f_measure 0.720902 [0.695652,0.740741] f_measure 0.593333 [0.5,0.666667] f_measure 0.628998 [0.526316,0.709677] f_measure 0.669333 [0.6,0.733333] f_measure 0.752 [0.7,0.8] f_measure 0.6 [0.545455,0.642857] f_measure 0.714483 [0.666667,0.758621] f_measure 0.558583 [0.521739,0.592593] f_measure 0.596104 [0.545455,0.642857] f_measure 0.621664 [0.526316,0.709677] f_measure 0.705739 [0.631579,0.774194] f_measure 0.76 [0.75,0.769231] f_measure 0.621664 [0.526316,0.709677] f_measure 0.72 [0.72,0.72] f_measure 0.759231 [0.769231,0.75] f_measure 0.799356 [0.782609,0.814815] f_measure 0.68 [0.666667,0.692308] f_measure 0.757662 [0.727273,0.785714] f_measure 0.76 [0.75,0.769231] f_measure 0.72 [0.72,0.72] f_measure 0.676883 [0.636364,0.714286] f_measure 0.72 [0.72,0.72] f_measure 0.592208 [0.642857,0.545455] f_measure 0.752 [0.7,0.8] f_measure 0.598718 [0.615385,0.583333] f_measure 0.68 [0.666667,0.692308] f_measure 0.632906 [0.571429,0.689655] f_measure 0.759231 [0.769231,0.75] f_measure 0.656667 [0.555556,0.75] f_measure 0.586667 [0.5,0.666667] f_measure 0.558583 [0.521739,0.592593] f_measure 0.838442 [0.818182,0.857143] f_measure 0.64 [0.64,0.64] f_measure 0.92 [0.916667,0.923077] f_measure 0.6 [0.583333,0.615385] f_measure 0.669333 [0.6,0.733333] f_measure 0.596104 [0.545455,0.642857] f_measure 0.656667 [0.555556,0.75] f_measure 0.752 [0.7,0.8] f_measure 0.757662 [0.727273,0.785714] f_measure 0.717295 [0.740741,0.695652] f_measure 0.537589 [0.421053,0.645161] f_measure 0.714483 [0.666667,0.758621] f_measure 0.656667 [0.555556,0.75] f_measure 0.705739 [0.631579,0.774194] f_measure 0.656667 [0.555556,0.75] f_measure 0.669333 [0.6,0.733333] f_measure 0.469754 [0.380952,0.551724] f_measure 0.72 [0.72,0.72] f_measure 0.537589 [0.421053,0.645161] f_measure 0.421333 [0.3,0.533333] f_measure 0.586667 [0.5,0.666667] f_measure 0.484571 [0.266667,0.685714] f_measure 0.64 [0.64,0.64] f_measure 0.681026 [0.666667,0.692308] f_measure 0.714483 [0.666667,0.758621] f_measure 0.720902 [0.695652,0.740741] f_measure 0.56 [0.56,0.56] f_measure 0.796059 [0.761905,0.827586] f_measure 0.8 [0.8,0.8] f_measure 0.656667 [0.555556,0.75] f_measure 0.879614 [0.869565,0.888889] f_measure 0.632906 [0.571429,0.689655] f_measure 0.546553 [0.421053,0.645161] f_measure 0.637635 [0.571429,0.689655] f_measure 0.632906 [0.571429,0.689655] f_measure 0.84 [0.818182,0.857143] f_measure 0.560294 [0.375,0.705882] f_measure 0.72 [0.72,0.72] f_measure 0.638841 [0.608696,0.666667] f_measure 0.752 [0.7,0.8] f_measure 0.638841 [0.608696,0.666667] f_measure 0.752 [0.7,0.8] f_measure 0.681026 [0.666667,0.692308] f_measure 0.748333 [0.666667,0.8125] f_measure 0.755325 [0.785714,0.727273] f_measure 0.593333 [0.5,0.666667] f_measure 0.748333 [0.666667,0.8125] kappa 0.025974 kappa 0.414716 kappa 0.350649 kappa 0.247492 kappa 0.337748 kappa 0.098361 kappa 0.592834 kappa 0.172185 kappa 0.522293 kappa 0.598071 kappa 0.337748 kappa 0.188312 kappa 0.512987 kappa 0.132492 kappa 0.590164 kappa 0.433657 kappa 0.271845 kappa 0.247492 kappa 0.267101 kappa 0.354839 kappa 0.42623 kappa 0.375 kappa 0.437299 kappa 0.172185 kappa 0.247492 kappa 0.350649 kappa 0.512987 kappa 0.188312 kappa 0.433657 kappa 0.115756 kappa 0.193548 kappa 0.267101 kappa 0.429967 kappa 0.519231 kappa 0.267101 kappa 0.440895 kappa 0.522293 kappa 0.598071 kappa 0.358974 kappa 0.516129 kappa 0.519231 kappa 0.440895 kappa 0.354839 kappa 0.440895 kappa 0.208861 kappa 0.512987 kappa 0.203822 kappa 0.358974 kappa 0.271845 kappa 0.522293 kappa 0.346405 kappa 0.188312 kappa 0.115756 kappa 0.677419 kappa 0.28115 kappa 0.839744 kappa 0.198718 kappa 0.350649 kappa 0.193548 kappa 0.346405 kappa 0.512987 kappa 0.516129 kappa 0.444444 kappa 0.104235 kappa 0.433657 kappa 0.346405 kappa 0.429967 kappa 0.346405 kappa 0.350649 kappa -0.05178 kappa 0.440895 kappa 0.104235 kappa -0.136364 kappa 0.188312 kappa 0.092409 kappa 0.290221 kappa 0.363057 kappa 0.433657 kappa 0.437299 kappa 0.132492 kappa 0.595469 kappa 0.600639 kappa 0.346405 kappa 0.758842 kappa 0.271845 kappa 0.080268 kappa 0.262295 kappa 0.271845 kappa 0.675325 kappa 0.137931 kappa 0.440895 kappa 0.276527 kappa 0.512987 kappa 0.276527 kappa 0.512987 kappa 0.363057 kappa 0.493243 kappa 0.525316 kappa 0.172185 kappa 0.493243 kb_relative_information_score 0.729868 kb_relative_information_score 10.788275 kb_relative_information_score 8.776594 kb_relative_information_score 6.764913 kb_relative_information_score 8.776594 kb_relative_information_score 2.925531 kb_relative_information_score 14.995619 kb_relative_information_score 4.753231 kb_relative_information_score 12.983938 kb_relative_information_score 14.995619 kb_relative_information_score 8.776594 kb_relative_information_score 4.753231 kb_relative_information_score 12.799957 kb_relative_information_score 2.74155 kb_relative_information_score 14.811638 kb_relative_information_score 10.972257 kb_relative_information_score 6.948894 kb_relative_information_score 6.764913 kb_relative_information_score 6.948894 kb_relative_information_score 8.960575 kb_relative_information_score 10.788275 kb_relative_information_score 8.776594 kb_relative_information_score 10.788275 kb_relative_information_score 4.753231 kb_relative_information_score 6.764913 kb_relative_information_score 8.960575 kb_relative_information_score 12.983938 kb_relative_information_score 4.753231 kb_relative_information_score 10.972257 kb_relative_information_score 2.925531 kb_relative_information_score 4.937213 kb_relative_information_score 6.948894 kb_relative_information_score 10.972257 kb_relative_information_score 12.983938 kb_relative_information_score 6.948894 kb_relative_information_score 10.972257 kb_relative_information_score 12.983938 kb_relative_information_score 14.995619 kb_relative_information_score 8.960575 kb_relative_information_score 12.983938 kb_relative_information_score 12.983938 kb_relative_information_score 10.972257 kb_relative_information_score 8.960575 kb_relative_information_score 10.972257 kb_relative_information_score 4.937213 kb_relative_information_score 12.983938 kb_relative_information_score 4.937213 kb_relative_information_score 8.960575 kb_relative_information_score 6.948894 kb_relative_information_score 12.983938 kb_relative_information_score 8.960575 kb_relative_information_score 4.937213 kb_relative_information_score 2.925531 kb_relative_information_score 17.007301 kb_relative_information_score 6.948894 kb_relative_information_score 21.030664 kb_relative_information_score 4.937213 kb_relative_information_score 8.960575 kb_relative_information_score 4.937213 kb_relative_information_score 8.960575 kb_relative_information_score 12.983938 kb_relative_information_score 12.983938 kb_relative_information_score 10.972257 kb_relative_information_score 2.925531 kb_relative_information_score 10.972257 kb_relative_information_score 8.960575 kb_relative_information_score 10.972257 kb_relative_information_score 8.960575 kb_relative_information_score 8.960575 kb_relative_information_score -1.097831 kb_relative_information_score 10.972257 kb_relative_information_score 2.925531 kb_relative_information_score -3.109513 kb_relative_information_score 4.937213 kb_relative_information_score 2.925531 kb_relative_information_score 6.764913 kb_relative_information_score 8.776594 kb_relative_information_score 10.972257 kb_relative_information_score 10.788275 kb_relative_information_score 2.74155 kb_relative_information_score 14.995619 kb_relative_information_score 14.995619 kb_relative_information_score 8.960575 kb_relative_information_score 19.018982 kb_relative_information_score 6.948894 kb_relative_information_score 2.74155 kb_relative_information_score 6.764913 kb_relative_information_score 6.948894 kb_relative_information_score 16.823319 kb_relative_information_score 4.753231 kb_relative_information_score 10.972257 kb_relative_information_score 6.948894 kb_relative_information_score 12.983938 kb_relative_information_score 6.948894 kb_relative_information_score 12.983938 kb_relative_information_score 8.776594 kb_relative_information_score 12.799957 kb_relative_information_score 12.983938 kb_relative_information_score 4.753231 kb_relative_information_score 12.799957 mean_absolute_error 0.48 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.44 mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.24 mean_absolute_error 0.2 mean_absolute_error 0.32 mean_absolute_error 0.4 mean_absolute_error 0.24 mean_absolute_error 0.44 mean_absolute_error 0.2 mean_absolute_error 0.28 mean_absolute_error 0.36 mean_absolute_error 0.36 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.28 mean_absolute_error 0.4 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.4 mean_absolute_error 0.28 mean_absolute_error 0.44 mean_absolute_error 0.4 mean_absolute_error 0.36 mean_absolute_error 0.28 mean_absolute_error 0.24 mean_absolute_error 0.36 mean_absolute_error 0.28 mean_absolute_error 0.24 mean_absolute_error 0.2 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.28 mean_absolute_error 0.4 mean_absolute_error 0.24 mean_absolute_error 0.4 mean_absolute_error 0.32 mean_absolute_error 0.36 mean_absolute_error 0.24 mean_absolute_error 0.32 mean_absolute_error 0.4 mean_absolute_error 0.44 mean_absolute_error 0.16 mean_absolute_error 0.36 mean_absolute_error 0.08 mean_absolute_error 0.4 mean_absolute_error 0.32 mean_absolute_error 0.4 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.28 mean_absolute_error 0.44 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.52 mean_absolute_error 0.28 mean_absolute_error 0.44 mean_absolute_error 0.56 mean_absolute_error 0.4 mean_absolute_error 0.44 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.28 mean_absolute_error 0.28 mean_absolute_error 0.44 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.32 mean_absolute_error 0.12 mean_absolute_error 0.36 mean_absolute_error 0.44 mean_absolute_error 0.36 mean_absolute_error 0.36 mean_absolute_error 0.16 mean_absolute_error 0.4 mean_absolute_error 0.28 mean_absolute_error 0.36 mean_absolute_error 0.24 mean_absolute_error 0.36 mean_absolute_error 0.24 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.4 mean_absolute_error 0.24 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] precision 0.52 [0.454545,0.571429] precision 0.725294 [0.75,0.705882] precision 0.68 [0.636364,0.714286] precision 0.637353 [0.625,0.647059] precision 0.678333 [0.666667,0.6875] precision 0.574 [0.6,0.55] precision 0.855556 [1,0.722222] precision 0.594444 [0.555556,0.625] precision 0.768312 [0.714286,0.818182] precision 0.801299 [0.818182,0.785714] precision 0.678333 [0.666667,0.6875] precision 0.6 [0.545455,0.642857] precision 0.76 [0.727273,0.785714] precision 0.576364 [0.5,0.636364] precision 0.8 [0.8,0.8] precision 0.730833 [0.777778,0.6875] precision 0.645 [0.666667,0.625] precision 0.637353 [0.625,0.647059] precision 0.660635 [0.714286,0.611111] precision 0.682667 [0.7,0.666667] precision 0.718667 [0.7,0.733333] precision 0.712 [0.6,0.8] precision 0.724103 [0.666667,0.769231] precision 0.594444 [0.555556,0.625] precision 0.637353 [0.625,0.647059] precision 0.696471 [0.75,0.647059] precision 0.787059 [0.875,0.705882] precision 0.6 [0.545455,0.642857] precision 0.730833 [0.777778,0.6875] precision 0.558961 [0.545455,0.571429] precision 0.6 [0.6,0.6] precision 0.660635 [0.714286,0.611111] precision 0.758095 [0.857143,0.666667] precision 0.76 [0.75,0.769231] precision 0.660635 [0.714286,0.611111] precision 0.722308 [0.692308,0.75] precision 0.768312 [0.714286,0.818182] precision 0.801299 [0.818182,0.785714] precision 0.68 [0.666667,0.692308] precision 0.765333 [0.8,0.733333] precision 0.76 [0.75,0.769231] precision 0.722308 [0.692308,0.75] precision 0.682667 [0.7,0.666667] precision 0.722308 [0.692308,0.75] precision 0.616667 [0.5625,0.666667] precision 0.787059 [0.875,0.705882] precision 0.605195 [0.571429,0.636364] precision 0.68 [0.666667,0.692308] precision 0.645 [0.666667,0.625] precision 0.768312 [0.714286,0.818182] precision 0.728421 [0.833333,0.631579] precision 0.605882 [0.625,0.588235] precision 0.558961 [0.545455,0.571429] precision 0.848 [0.9,0.8] precision 0.642051 [0.615385,0.666667] precision 0.92 [0.916667,0.923077] precision 0.6 [0.583333,0.615385] precision 0.696471 [0.75,0.647059] precision 0.6 [0.6,0.6] precision 0.728421 [0.833333,0.631579] precision 0.787059 [0.875,0.705882] precision 0.765333 [0.8,0.733333] precision 0.736 [0.666667,0.8] precision 0.563175 [0.571429,0.555556] precision 0.730833 [0.777778,0.6875] precision 0.728421 [0.833333,0.631579] precision 0.758095 [0.857143,0.666667] precision 0.728421 [0.833333,0.631579] precision 0.696471 [0.75,0.647059] precision 0.473333 [0.444444,0.5] precision 0.722308 [0.692308,0.75] precision 0.563175 [0.571429,0.555556] precision 0.424706 [0.375,0.470588] precision 0.605882 [0.625,0.588235] precision 0.603636 [0.666667,0.545455] precision 0.658701 [0.571429,0.727273] precision 0.690769 [0.615385,0.75] precision 0.730833 [0.777778,0.6875] precision 0.724103 [0.666667,0.769231] precision 0.576364 [0.5,0.636364] precision 0.816667 [0.888889,0.75] precision 0.802564 [0.769231,0.833333] precision 0.728421 [0.833333,0.631579] precision 0.882078 [0.909091,0.857143] precision 0.645 [0.666667,0.625] precision 0.549412 [0.5,0.588235] precision 0.637333 [0.6,0.666667] precision 0.645 [0.666667,0.625] precision 0.84 [0.818182,0.857143] precision 0.6 [0.6,0.6] precision 0.722308 [0.692308,0.75] precision 0.63974 [0.636364,0.642857] precision 0.787059 [0.875,0.705882] precision 0.63974 [0.636364,0.642857] precision 0.787059 [0.875,0.705882] precision 0.690769 [0.615385,0.75] precision 0.781587 [0.857143,0.722222] precision 0.792222 [0.6875,0.888889] precision 0.594444 [0.555556,0.625] precision 0.781587 [0.857143,0.722222] predictive_accuracy 0.52 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.56 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.76 predictive_accuracy 0.56 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.6 predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.6 predictive_accuracy 0.76 predictive_accuracy 0.6 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.84 predictive_accuracy 0.64 predictive_accuracy 0.92 predictive_accuracy 0.6 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.48 predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.44 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.88 predictive_accuracy 0.64 predictive_accuracy 0.56 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.84 predictive_accuracy 0.6 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.6 predictive_accuracy 0.76 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 recall 0.52 [0.454545,0.571429] recall 0.72 [0.545455,0.857143] recall 0.68 [0.636364,0.714286] recall 0.64 [0.454545,0.785714] recall 0.68 [0.545455,0.785714] recall 0.56 [0.25,0.846154] recall 0.8 [0.583333,1] recall 0.6 [0.454545,0.714286] recall 0.76 [0.833333,0.692308] recall 0.8 [0.75,0.846154] recall 0.68 [0.545455,0.785714] recall 0.6 [0.545455,0.642857] recall 0.76 [0.727273,0.785714] recall 0.56 [0.636364,0.5] recall 0.8 [0.727273,0.857143] recall 0.72 [0.583333,0.846154] recall 0.64 [0.5,0.769231] recall 0.64 [0.454545,0.785714] recall 0.64 [0.416667,0.846154] recall 0.68 [0.583333,0.769231] recall 0.72 [0.636364,0.785714] recall 0.68 [0.818182,0.571429] recall 0.72 [0.727273,0.714286] recall 0.6 [0.454545,0.714286] recall 0.64 [0.454545,0.785714] recall 0.68 [0.5,0.846154] recall 0.76 [0.583333,0.923077] recall 0.6 [0.545455,0.642857] recall 0.72 [0.583333,0.846154] recall 0.56 [0.5,0.615385] recall 0.6 [0.5,0.692308] recall 0.64 [0.416667,0.846154] recall 0.72 [0.5,0.923077] recall 0.76 [0.75,0.769231] recall 0.64 [0.416667,0.846154] recall 0.72 [0.75,0.692308] recall 0.76 [0.833333,0.692308] recall 0.8 [0.75,0.846154] recall 0.68 [0.666667,0.692308] recall 0.76 [0.666667,0.846154] recall 0.76 [0.75,0.769231] recall 0.72 [0.75,0.692308] recall 0.68 [0.583333,0.769231] recall 0.72 [0.75,0.692308] recall 0.6 [0.75,0.461538] recall 0.76 [0.583333,0.923077] recall 0.6 [0.666667,0.538462] recall 0.68 [0.666667,0.692308] recall 0.64 [0.5,0.769231] recall 0.76 [0.833333,0.692308] recall 0.68 [0.416667,0.923077] recall 0.6 [0.416667,0.769231] recall 0.56 [0.5,0.615385] recall 0.84 [0.75,0.923077] recall 0.64 [0.666667,0.615385] recall 0.92 [0.916667,0.923077] recall 0.6 [0.583333,0.615385] recall 0.68 [0.5,0.846154] recall 0.6 [0.5,0.692308] recall 0.68 [0.416667,0.923077] recall 0.76 [0.583333,0.923077] recall 0.76 [0.666667,0.846154] recall 0.72 [0.833333,0.615385] recall 0.56 [0.333333,0.769231] recall 0.72 [0.583333,0.846154] recall 0.68 [0.416667,0.923077] recall 0.72 [0.5,0.923077] recall 0.68 [0.416667,0.923077] recall 0.68 [0.5,0.846154] recall 0.48 [0.333333,0.615385] recall 0.72 [0.75,0.692308] recall 0.56 [0.333333,0.769231] recall 0.44 [0.25,0.615385] recall 0.6 [0.416667,0.769231] recall 0.56 [0.166667,0.923077] recall 0.64 [0.727273,0.571429] recall 0.68 [0.727273,0.642857] recall 0.72 [0.583333,0.846154] recall 0.72 [0.727273,0.714286] recall 0.56 [0.636364,0.5] recall 0.8 [0.666667,0.923077] recall 0.8 [0.833333,0.769231] recall 0.68 [0.416667,0.923077] recall 0.88 [0.833333,0.923077] recall 0.64 [0.5,0.769231] recall 0.56 [0.363636,0.714286] recall 0.64 [0.545455,0.714286] recall 0.64 [0.5,0.769231] recall 0.84 [0.818182,0.857143] recall 0.6 [0.272727,0.857143] recall 0.72 [0.75,0.692308] recall 0.64 [0.583333,0.692308] recall 0.76 [0.583333,0.923077] recall 0.64 [0.583333,0.692308] recall 0.76 [0.583333,0.923077] recall 0.68 [0.727273,0.642857] recall 0.76 [0.545455,0.928571] recall 0.76 [0.916667,0.615385] recall 0.6 [0.454545,0.714286] recall 0.76 [0.545455,0.928571] relative_absolute_error 0.96737 relative_absolute_error 0.564299 relative_absolute_error 0.644914 relative_absolute_error 0.725528 relative_absolute_error 0.644914 relative_absolute_error 0.882241 relative_absolute_error 0.401018 relative_absolute_error 0.806142 relative_absolute_error 0.481222 relative_absolute_error 0.401018 relative_absolute_error 0.644914 relative_absolute_error 0.806142 relative_absolute_error 0.483685 relative_absolute_error 0.886756 relative_absolute_error 0.403071 relative_absolute_error 0.561426 relative_absolute_error 0.721833 relative_absolute_error 0.725528 relative_absolute_error 0.721833 relative_absolute_error 0.64163 relative_absolute_error 0.564299 relative_absolute_error 0.644914 relative_absolute_error 0.564299 relative_absolute_error 0.806142 relative_absolute_error 0.725528 relative_absolute_error 0.64163 relative_absolute_error 0.481222 relative_absolute_error 0.806142 relative_absolute_error 0.561426 relative_absolute_error 0.882241 relative_absolute_error 0.802037 relative_absolute_error 0.721833 relative_absolute_error 0.561426 relative_absolute_error 0.481222 relative_absolute_error 0.721833 relative_absolute_error 0.561426 relative_absolute_error 0.481222 relative_absolute_error 0.401018 relative_absolute_error 0.64163 relative_absolute_error 0.481222 relative_absolute_error 0.481222 relative_absolute_error 0.561426 relative_absolute_error 0.64163 relative_absolute_error 0.561426 relative_absolute_error 0.802037 relative_absolute_error 0.481222 relative_absolute_error 0.802037 relative_absolute_error 0.64163 relative_absolute_error 0.721833 relative_absolute_error 0.481222 relative_absolute_error 0.64163 relative_absolute_error 0.802037 relative_absolute_error 0.882241 relative_absolute_error 0.320815 relative_absolute_error 0.721833 relative_absolute_error 0.160407 relative_absolute_error 0.802037 relative_absolute_error 0.64163 relative_absolute_error 0.802037 relative_absolute_error 0.64163 relative_absolute_error 0.481222 relative_absolute_error 0.481222 relative_absolute_error 0.561426 relative_absolute_error 0.882241 relative_absolute_error 0.561426 relative_absolute_error 0.64163 relative_absolute_error 0.561426 relative_absolute_error 0.64163 relative_absolute_error 0.64163 relative_absolute_error 1.042648 relative_absolute_error 0.561426 relative_absolute_error 0.882241 relative_absolute_error 1.122852 relative_absolute_error 0.802037 relative_absolute_error 0.882241 relative_absolute_error 0.725528 relative_absolute_error 0.644914 relative_absolute_error 0.561426 relative_absolute_error 0.564299 relative_absolute_error 0.886756 relative_absolute_error 0.401018 relative_absolute_error 0.401018 relative_absolute_error 0.64163 relative_absolute_error 0.240611 relative_absolute_error 0.721833 relative_absolute_error 0.886756 relative_absolute_error 0.725528 relative_absolute_error 0.721833 relative_absolute_error 0.322457 relative_absolute_error 0.806142 relative_absolute_error 0.561426 relative_absolute_error 0.721833 relative_absolute_error 0.481222 relative_absolute_error 0.721833 relative_absolute_error 0.481222 relative_absolute_error 0.644914 relative_absolute_error 0.483685 relative_absolute_error 0.481222 relative_absolute_error 0.806142 relative_absolute_error 0.483685 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_squared_error 0.69282 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.663325 root_mean_squared_error 0.447214 root_mean_squared_error 0.632456 root_mean_squared_error 0.489898 root_mean_squared_error 0.447214 root_mean_squared_error 0.565685 root_mean_squared_error 0.632456 root_mean_squared_error 0.489898 root_mean_squared_error 0.663325 root_mean_squared_error 0.447214 root_mean_squared_error 0.52915 root_mean_squared_error 0.6 root_mean_squared_error 0.6 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.52915 root_mean_squared_error 0.632456 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.632456 root_mean_squared_error 0.52915 root_mean_squared_error 0.663325 root_mean_squared_error 0.632456 root_mean_squared_error 0.6 root_mean_squared_error 0.52915 root_mean_squared_error 0.489898 root_mean_squared_error 0.6 root_mean_squared_error 0.52915 root_mean_squared_error 0.489898 root_mean_squared_error 0.447214 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.489898 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.52915 root_mean_squared_error 0.632456 root_mean_squared_error 0.489898 root_mean_squared_error 0.632456 root_mean_squared_error 0.565685 root_mean_squared_error 0.6 root_mean_squared_error 0.489898 root_mean_squared_error 0.565685 root_mean_squared_error 0.632456 root_mean_squared_error 0.663325 root_mean_squared_error 0.4 root_mean_squared_error 0.6 root_mean_squared_error 0.282843 root_mean_squared_error 0.632456 root_mean_squared_error 0.565685 root_mean_squared_error 0.632456 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.489898 root_mean_squared_error 0.52915 root_mean_squared_error 0.663325 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.72111 root_mean_squared_error 0.52915 root_mean_squared_error 0.663325 root_mean_squared_error 0.748331 root_mean_squared_error 0.632456 root_mean_squared_error 0.663325 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.52915 root_mean_squared_error 0.52915 root_mean_squared_error 0.663325 root_mean_squared_error 0.447214 root_mean_squared_error 0.447214 root_mean_squared_error 0.565685 root_mean_squared_error 0.34641 root_mean_squared_error 0.6 root_mean_squared_error 0.663325 root_mean_squared_error 0.6 root_mean_squared_error 0.6 root_mean_squared_error 0.4 root_mean_squared_error 0.632456 root_mean_squared_error 0.52915 root_mean_squared_error 0.6 root_mean_squared_error 0.489898 root_mean_squared_error 0.6 root_mean_squared_error 0.489898 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.489898 root_mean_squared_error 0.632456 root_mean_squared_error 0.489898 root_relative_squared_error 1.393471 root_relative_squared_error 1.064281 root_relative_squared_error 1.137764 root_relative_squared_error 1.206781 root_relative_squared_error 1.137764 root_relative_squared_error 1.327346 root_relative_squared_error 0.894896 root_relative_squared_error 1.272059 root_relative_squared_error 0.98031 root_relative_squared_error 0.894896 root_relative_squared_error 1.137764 root_relative_squared_error 1.272059 root_relative_squared_error 0.985333 root_relative_squared_error 1.334147 root_relative_squared_error 0.899482 root_relative_squared_error 1.058856 root_relative_squared_error 1.200629 root_relative_squared_error 1.206781 root_relative_squared_error 1.200629 root_relative_squared_error 1.131964 root_relative_squared_error 1.064281 root_relative_squared_error 1.137764 root_relative_squared_error 1.064281 root_relative_squared_error 1.272059 root_relative_squared_error 1.206781 root_relative_squared_error 1.131964 root_relative_squared_error 0.98031 root_relative_squared_error 1.272059 root_relative_squared_error 1.058856 root_relative_squared_error 1.327346 root_relative_squared_error 1.265574 root_relative_squared_error 1.200629 root_relative_squared_error 1.058856 root_relative_squared_error 0.98031 root_relative_squared_error 1.200629 root_relative_squared_error 1.058856 root_relative_squared_error 0.98031 root_relative_squared_error 0.894896 root_relative_squared_error 1.131964 root_relative_squared_error 0.98031 root_relative_squared_error 0.98031 root_relative_squared_error 1.058856 root_relative_squared_error 1.131964 root_relative_squared_error 1.058856 root_relative_squared_error 1.265574 root_relative_squared_error 0.98031 root_relative_squared_error 1.265574 root_relative_squared_error 1.131964 root_relative_squared_error 1.200629 root_relative_squared_error 0.98031 root_relative_squared_error 1.131964 root_relative_squared_error 1.265574 root_relative_squared_error 1.327346 root_relative_squared_error 0.80042 root_relative_squared_error 1.200629 root_relative_squared_error 0.565982 root_relative_squared_error 1.265574 root_relative_squared_error 1.131964 root_relative_squared_error 1.265574 root_relative_squared_error 1.131964 root_relative_squared_error 0.98031 root_relative_squared_error 0.98031 root_relative_squared_error 1.058856 root_relative_squared_error 1.327346 root_relative_squared_error 1.058856 root_relative_squared_error 1.131964 root_relative_squared_error 1.058856 root_relative_squared_error 1.131964 root_relative_squared_error 1.131964 root_relative_squared_error 1.442977 root_relative_squared_error 1.058856 root_relative_squared_error 1.327346 root_relative_squared_error 1.497448 root_relative_squared_error 1.265574 root_relative_squared_error 1.327346 root_relative_squared_error 1.206781 root_relative_squared_error 1.137764 root_relative_squared_error 1.058856 root_relative_squared_error 1.064281 root_relative_squared_error 1.334147 root_relative_squared_error 0.894896 root_relative_squared_error 0.894896 root_relative_squared_error 1.131964 root_relative_squared_error 0.693184 root_relative_squared_error 1.200629 root_relative_squared_error 1.334147 root_relative_squared_error 1.206781 root_relative_squared_error 1.200629 root_relative_squared_error 0.804521 root_relative_squared_error 1.272059 root_relative_squared_error 1.058856 root_relative_squared_error 1.200629 root_relative_squared_error 0.98031 root_relative_squared_error 1.200629 root_relative_squared_error 0.98031 root_relative_squared_error 1.137764 root_relative_squared_error 0.985333 root_relative_squared_error 0.98031 root_relative_squared_error 1.272059 root_relative_squared_error 0.985333 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 20 usercpu_time_millis_training 10 usercpu_time_millis_training 10 usercpu_time_millis_training 10