287832 2 Joaquin Vanschoren 4654 Supervised Classification predictive_accuracy 1091 weka.BFTree(3) 1861 weka.classifiers.trees.BFTree -- -M 2 -N 5 -C 1.0 -P POSTPRUNED -S 1 P POSTPRUNED 1091 M 2 1091 N 5 1091 C true 1091 S 1 1091 weka weka_3.7.12 1115 teachingAssistant https://www.openml.org/data/download/53998/teachingAssistant.arff -1 969724 description https://api.openml.org/data/download/969724/weka_generated_run2685707263169071096.xml -1 969727 model_readable https://api.openml.org/data/download/969727/WekaModel_weka.classifiers.trees.BFTree1625851195854686256.model -1 969726 model_serialized https://api.openml.org/data/download/969726/WekaSerialized_weka.classifiers.trees.BFTree8837726455742870135.model -1 969725 predictions https://api.openml.org/data/download/969725/weka_generated_predictions4181024483426835322.arff area_under_roc_curve 0.761676 [0.750539,0.751829,0.781638] average_cost 0 f_measure 0.600299 [0.588119,0.566929,0.643863] kappa 0.399304 kb_relative_information_score 658.355766 mean_absolute_error 0.277343 mean_prior_absolute_error 0.444311 number_of_instances 1510 [490,500,520] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.602642 [0.571154,0.55814,0.675105] predictive_accuracy 0.599338 prior_entropy 1.584538 recall 0.599338 [0.606122,0.576,0.615385] relative_absolute_error 0.62421 root_mean_prior_squared_error 0.471332 root_mean_squared_error 0.460459 root_relative_squared_error 0.97693 scimark_benchmark 1350.073023 [813.5450543619434, 997.6468707916924, 542.2938452810938, 1108.900242569741, 3287.979102609317] total_cost 0 usercpu_time_millis 30 usercpu_time_millis_testing 0 usercpu_time_millis_training 30 area_under_roc_curve 0.671023 [0.690909,0.536364,0.766667] area_under_roc_curve 0.672443 [0.727273,0.554545,0.725] area_under_roc_curve 0.587216 [0.518182,0.690909,0.558333] area_under_roc_curve 0.68892 [0.890909,0.463636,0.708333] area_under_roc_curve 0.611364 [0.727273,0.609091,0.516667] area_under_roc_curve 0.761648 [0.709091,0.718182,0.841667] area_under_roc_curve 0.919034 [0.881818,0.909091,0.958333] area_under_roc_curve 0.780682 [0.754545,0.863636,0.733333] area_under_roc_curve 0.78892 [0.818182,0.836364,0.725] area_under_roc_curve 0.802841 [0.754545,0.854545,0.8] area_under_roc_curve 0.776667 [0.85,0.7,0.78] area_under_roc_curve 0.775892 [0.806818,0.86,0.685185] area_under_roc_curve 0.743502 [0.590909,0.78,0.814815] area_under_roc_curve 0.591919 [0.511364,0.6,0.638889] area_under_roc_curve 0.910842 [0.829545,0.98,0.907407] area_under_roc_curve 0.653333 [0.7,0.66,0.6] area_under_roc_curve 0.841279 [0.590909,0.94,0.925926] area_under_roc_curve 0.39 [0.47,0.43,0.27] area_under_roc_curve 0.66 [0.83,0.47,0.68] area_under_roc_curve 0.904545 [0.954545,0.85,0.916667] area_under_roc_curve 0.9 [0.92,0.8,0.98] area_under_roc_curve 0.7 [0.59,0.72,0.79] area_under_roc_curve 0.773333 [0.82,0.81,0.69] area_under_roc_curve 0.656667 [0.81,0.44,0.72] area_under_roc_curve 0.64 [0.67,0.46,0.79] area_under_roc_curve 0.716667 [0.61,0.85,0.69] area_under_roc_curve 0.633333 [0.74,0.66,0.5] area_under_roc_curve 0.846667 [0.77,0.89,0.88] area_under_roc_curve 0.71 [0.7,0.67,0.76] area_under_roc_curve 0.863333 [0.81,0.82,0.96] area_under_roc_curve 0.813333 [0.96,0.86,0.62] area_under_roc_curve 0.756667 [0.69,0.88,0.7] area_under_roc_curve 0.98 [0.97,0.97,1] area_under_roc_curve 0.776667 [0.74,0.65,0.94] area_under_roc_curve 0.89 [0.88,0.89,0.9] area_under_roc_curve 0.86 [0.87,0.9,0.81] area_under_roc_curve 0.513333 [0.53,0.48,0.53] area_under_roc_curve 0.946667 [0.92,1,0.92] area_under_roc_curve 0.733333 [0.79,0.55,0.86] area_under_roc_curve 0.526667 [0.47,0.59,0.52] area_under_roc_curve 0.856667 [0.85,0.82,0.9] area_under_roc_curve 0.696667 [0.71,0.8,0.58] area_under_roc_curve 0.68 [0.59,0.67,0.78] area_under_roc_curve 0.796667 [0.86,0.72,0.81] area_under_roc_curve 0.57 [0.52,0.58,0.61] area_under_roc_curve 0.75 [0.77,0.72,0.76] area_under_roc_curve 0.773333 [0.77,0.67,0.88] area_under_roc_curve 0.76 [0.68,0.8,0.8] area_under_roc_curve 0.68 [0.64,0.59,0.81] area_under_roc_curve 0.686667 [0.7,0.46,0.9] area_under_roc_curve 0.9 [0.95,0.85,0.9] area_under_roc_curve 0.726667 [0.85,0.68,0.65] area_under_roc_curve 0.756667 [0.91,0.84,0.52] area_under_roc_curve 0.913333 [0.94,0.8,1] area_under_roc_curve 0.806667 [0.82,0.65,0.95] area_under_roc_curve 0.4 [0.26,0.38,0.56] area_under_roc_curve 0.763333 [0.81,0.84,0.64] area_under_roc_curve 0.87 [0.83,0.91,0.87] area_under_roc_curve 0.936667 [0.99,0.93,0.89] area_under_roc_curve 0.833333 [0.79,0.77,0.94] area_under_roc_curve 0.626667 [0.59,0.62,0.67] area_under_roc_curve 0.83 [0.62,0.91,0.96] area_under_roc_curve 0.806667 [0.92,0.71,0.79] area_under_roc_curve 0.71 [0.6,0.72,0.81] area_under_roc_curve 0.88 [0.86,0.78,1] area_under_roc_curve 0.946667 [0.9,0.94,1] area_under_roc_curve 0.77 [0.58,0.9,0.83] area_under_roc_curve 0.906667 [0.94,1,0.78] area_under_roc_curve 0.75 [0.7,0.85,0.7] area_under_roc_curve 0.74 [0.67,0.68,0.87] area_under_roc_curve 0.633333 [0.37,0.67,0.86] area_under_roc_curve 0.58 [0.56,0.47,0.71] area_under_roc_curve 0.896667 [0.9,0.9,0.89] area_under_roc_curve 0.82 [0.82,0.87,0.77] area_under_roc_curve 0.636667 [0.38,0.8,0.73] area_under_roc_curve 0.69 [0.53,0.87,0.67] area_under_roc_curve 0.803333 [0.78,0.84,0.79] area_under_roc_curve 0.63 [0.59,0.63,0.67] area_under_roc_curve 0.603333 [0.48,0.6,0.73] area_under_roc_curve 0.583333 [0.43,0.76,0.56] area_under_roc_curve 0.793333 [0.79,0.75,0.84] area_under_roc_curve 0.8 [0.94,0.66,0.8] area_under_roc_curve 0.9 [0.8,1,0.9] area_under_roc_curve 0.91 [1,0.89,0.84] area_under_roc_curve 0.786667 [0.87,0.76,0.73] area_under_roc_curve 0.65 [0.71,0.6,0.64] area_under_roc_curve 0.826667 [0.71,0.84,0.93] area_under_roc_curve 0.75 [0.66,0.94,0.65] area_under_roc_curve 0.713333 [0.8,0.48,0.86] area_under_roc_curve 0.86 [0.9,0.8,0.88] area_under_roc_curve 0.769529 [0.920455,0.55,0.851852] area_under_roc_curve 0.616667 [0.6,0.76,0.49] area_under_roc_curve 0.866667 [1,0.82,0.78] area_under_roc_curve 0.593333 [0.53,0.54,0.71] area_under_roc_curve 0.71 [0.82,0.69,0.62] area_under_roc_curve 0.836599 [0.863636,0.93,0.740741] area_under_roc_curve 0.846667 [0.84,0.7,1] area_under_roc_curve 0.699933 [0.738636,0.62,0.740741] area_under_roc_curve 0.599158 [0.545455,0.75,0.509259] area_under_roc_curve 0.9 [0.96,0.86,0.88] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.383117 [0.571429,0,0.545455] f_measure 0.509425 [0.444444,0.285714,0.75] f_measure 0.377273 [0.363636,0.363636,0.4] f_measure 0.455357 [0.6,0,0.714286] f_measure 0.363675 [0.461538,0.222222,0.4] f_measure 0.519231 [0.461538,0.4,0.666667] f_measure 0.689467 [0.5,0.615385,0.909091] f_measure 0.6875 [0.6,0.8,0.666667] f_measure 0.679545 [0.727273,0.727273,0.6] f_measure 0.60708 [0.615385,0.727273,0.5] f_measure 0.594517 [0.666667,0.545455,0.571429] f_measure 0.660606 [0.75,0.727273,0.545455] f_measure 0.623333 [0.5,0.75,0.6] f_measure 0.392593 [0.444444,0.222222,0.5] f_measure 0.864935 [0.857143,0.909091,0.833333] f_measure 0.385328 [0.25,0.461538,0.444444] f_measure 0.636208 [0.333333,0.769231,0.727273] f_measure 0.21645 [0.363636,0.285714,0] f_measure 0.551648 [0.769231,0.285714,0.6] f_measure 0.86734 [0.888889,0.8,0.909091] f_measure 0.802707 [0.769231,0.75,0.888889] f_measure 0.529966 [0.444444,0.545455,0.6] f_measure 0.615873 [0.8,0.714286,0.333333] f_measure 0.438889 [0.666667,0.25,0.4] f_measure 0.323077 [0,0.2,0.769231] f_measure 0.594517 [0.571429,0.666667,0.545455] f_measure 0.32862 [0.363636,0.4,0.222222] f_measure 0.710678 [0.571429,0.727273,0.833333] f_measure 0.519943 [0.615385,0.444444,0.5] f_measure 0.805387 [0.8,0.727273,0.888889] f_measure 0.712121 [0.909091,0.727273,0.5] f_measure 0.533333 [0.5,0.5,0.6] f_measure 0.866667 [0.8,0.8,1] f_measure 0.668091 [0.615385,0.5,0.888889] f_measure 0.672222 [0.6,0.666667,0.75] f_measure 0.664646 [0.6,0.666667,0.727273] f_measure 0.244444 [0,0.333333,0.4] f_measure 0.79798 [0.666667,1,0.727273] f_measure 0.481481 [0.444444,0.333333,0.666667] f_measure 0.47619 [0.5,0.5,0.428571] f_measure 0.734848 [0.727273,0.75,0.727273] f_measure 0.43661 [0.444444,0.615385,0.25] f_measure 0.477656 [0.461538,0.4,0.571429] f_measure 0.655556 [0.8,0.5,0.666667] f_measure 0.388889 [0.222222,0.5,0.444444] f_measure 0.674242 [0.727273,0.545455,0.75] f_measure 0.518519 [0.444444,0.444444,0.666667] f_measure 0.555556 [0.333333,0.666667,0.666667] f_measure 0.543434 [0.6,0.363636,0.666667] f_measure 0.483333 [0.5,0.2,0.75] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.402778 [0.625,0.25,0.333333] f_measure 0.666667 [0.833333,0.833333,0.333333] f_measure 0.856061 [0.909091,0.75,0.909091] f_measure 0.590572 [0.6,0.444444,0.727273] f_measure 0.288889 [0.166667,0.2,0.5] f_measure 0.596633 [0.8,0.444444,0.545455] f_measure 0.655556 [0.666667,0.5,0.8] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.711111 [0.5,0.8,0.833333] f_measure 0.4337 [0.285714,0.4,0.615385] f_measure 0.670707 [0.545455,0.666667,0.8] f_measure 0.722222 [0.833333,0.666667,0.666667] f_measure 0.537037 [0.5,0.444444,0.666667] f_measure 0.722222 [0.5,0.666667,1] f_measure 0.738095 [0.75,0.714286,0.75] f_measure 0.611111 [0.5,0.666667,0.666667] f_measure 0.802707 [0.769231,0.888889,0.75] f_measure 0.666667 [0.6,0.8,0.6] f_measure 0.537037 [0.444444,0.5,0.666667] f_measure 0.407407 [0.222222,0.333333,0.666667] f_measure 0.336027 [0.363636,0.2,0.444444] f_measure 0.87037 [0.833333,0.888889,0.888889] f_measure 0.728632 [0.75,0.769231,0.666667] f_measure 0.466667 [0.2,0.6,0.6] f_measure 0.537374 [0.4,0.666667,0.545455] f_measure 0.60404 [0.545455,0.6,0.666667] f_measure 0.383117 [0.363636,0.5,0.285714] f_measure 0.4337 [0.285714,0.4,0.615385] f_measure 0.481481 [0.333333,0.666667,0.444444] f_measure 0.559885 [0.285714,0.666667,0.727273] f_measure 0.644444 [0.833333,0.5,0.6] f_measure 0.861111 [0.75,1,0.833333] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.558664 [0.727273,0.615385,0.333333] f_measure 0.590909 [0.727273,0.545455,0.5] f_measure 0.710678 [0.571429,0.833333,0.727273] f_measure 0.666667 [0.6,0.8,0.6] f_measure 0.518519 [0.666667,0.222222,0.666667] f_measure 0.611448 [0.888889,0.4,0.545455] f_measure 0.555556 [0.666667,0.333333,0.666667] f_measure 0.382418 [0.461538,0.285714,0.4] f_measure 0.725253 [0.909091,0.6,0.666667] f_measure 0.314815 [0.222222,0.222222,0.5] f_measure 0.537037 [0.666667,0.5,0.444444] f_measure 0.8 [0.8,0.8,0.8] f_measure 0.651178 [0.6,0.444444,0.909091] f_measure 0.60202 [0.666667,0.4,0.727273] f_measure 0.498413 [0.285714,0.666667,0.5] f_measure 0.740741 [0.888889,0.666667,0.666667] kappa 0.157895 kappa 0.325301 kappa 0.069767 kappa 0.238095 kappa 0.069767 kappa 0.260116 kappa 0.532164 kappa 0.529412 kappa 0.534884 kappa 0.448276 kappa 0.4 kappa 0.496644 kappa 0.415584 kappa 0.09396 kappa 0.795918 kappa 0.1 kappa 0.489796 kappa -0.1 kappa 0.4 kappa 0.8 kappa 0.7 kappa 0.3 kappa 0.5 kappa 0.2 kappa 0.1 kappa 0.4 kappa 0 kappa 0.6 kappa 0.3 kappa 0.7 kappa 0.6 kappa 0.3 kappa 0.8 kappa 0.5 kappa 0.5 kappa 0.5 kappa -0.1 kappa 0.7 kappa 0.2 kappa 0.2 kappa 0.6 kappa 0.2 kappa 0.2 kappa 0.5 kappa 0.1 kappa 0.5 kappa 0.3 kappa 0.4 kappa 0.3 kappa 0.2 kappa 0.8 kappa 0.2 kappa 0.6 kappa 0.8 kappa 0.4 kappa -0.1 kappa 0.4 kappa 0.5 kappa 0.8 kappa 0.6 kappa 0.2 kappa 0.5 kappa 0.6 kappa 0.3 kappa 0.6 kappa 0.6 kappa 0.4 kappa 0.7 kappa 0.5 kappa 0.3 kappa 0.1 kappa 0 kappa 0.8 kappa 0.6 kappa 0.2 kappa 0.3 kappa 0.4 kappa 0.1 kappa 0.2 kappa 0.2 kappa 0.4 kappa 0.5 kappa 0.8 kappa 0.8 kappa 0.4 kappa 0.4 kappa 0.6 kappa 0.5 kappa 0.3 kappa 0.4 kappa 0.357143 kappa 0.1 kappa 0.6 kappa 0 kappa 0.3 kappa 0.703947 kappa 0.5 kappa 0.4 kappa 0.304636 kappa 0.6 kb_relative_information_score 3.599167 kb_relative_information_score 6.24413 kb_relative_information_score 3.231347 kb_relative_information_score 5.244472 kb_relative_information_score 2.786656 kb_relative_information_score 5.94677 kb_relative_information_score 8.710958 kb_relative_information_score 8.275074 kb_relative_information_score 8.027889 kb_relative_information_score 6.897924 kb_relative_information_score 6.881998 kb_relative_information_score 7.896887 kb_relative_information_score 5.767126 kb_relative_information_score 2.785475 kb_relative_information_score 11.883708 kb_relative_information_score 3.01838 kb_relative_information_score 7.991661 kb_relative_information_score 0.033813 kb_relative_information_score 5.013104 kb_relative_information_score 12.227309 kb_relative_information_score 10.907945 kb_relative_information_score 5.183518 kb_relative_information_score 6.837205 kb_relative_information_score 4.412971 kb_relative_information_score 2.807709 kb_relative_information_score 6.348873 kb_relative_information_score 2.309581 kb_relative_information_score 8.585459 kb_relative_information_score 4.786963 kb_relative_information_score 10.088579 kb_relative_information_score 8.46236 kb_relative_information_score 4.918497 kb_relative_information_score 12.590919 kb_relative_information_score 7.821875 kb_relative_information_score 8.121723 kb_relative_information_score 8.256788 kb_relative_information_score 0.407659 kb_relative_information_score 10.952296 kb_relative_information_score 3.845516 kb_relative_information_score 3.483611 kb_relative_information_score 7.958725 kb_relative_information_score 4.875823 kb_relative_information_score 4.11313 kb_relative_information_score 8.111522 kb_relative_information_score 3.159471 kb_relative_information_score 6.893818 kb_relative_information_score 5.767198 kb_relative_information_score 5.67737 kb_relative_information_score 3.365806 kb_relative_information_score 4.998064 kb_relative_information_score 12.280362 kb_relative_information_score 4.457874 kb_relative_information_score 7.789945 kb_relative_information_score 12.21877 kb_relative_information_score 5.905526 kb_relative_information_score -0.269757 kb_relative_information_score 6.772053 kb_relative_information_score 8.960945 kb_relative_information_score 12.203655 kb_relative_information_score 8.29278 kb_relative_information_score 4.047567 kb_relative_information_score 8.651277 kb_relative_information_score 9.131643 kb_relative_information_score 5.766023 kb_relative_information_score 8.860327 kb_relative_information_score 10.919864 kb_relative_information_score 6.594592 kb_relative_information_score 11.156913 kb_relative_information_score 8.161814 kb_relative_information_score 5.634896 kb_relative_information_score 2.753795 kb_relative_information_score 1.898999 kb_relative_information_score 11.649263 kb_relative_information_score 8.222763 kb_relative_information_score 3.698896 kb_relative_information_score 5.080658 kb_relative_information_score 6.611022 kb_relative_information_score 3.299287 kb_relative_information_score 3.473456 kb_relative_information_score 3.272444 kb_relative_information_score 6.771905 kb_relative_information_score 6.368774 kb_relative_information_score 12.244727 kb_relative_information_score 11.411931 kb_relative_information_score 6.08552 kb_relative_information_score 5.583161 kb_relative_information_score 9.014905 kb_relative_information_score 7.69838 kb_relative_information_score 5.386184 kb_relative_information_score 7.672884 kb_relative_information_score 5.949236 kb_relative_information_score 3.147661 kb_relative_information_score 8.59704 kb_relative_information_score 2.435178 kb_relative_information_score 5.496875 kb_relative_information_score 10.23666 kb_relative_information_score 8.251494 kb_relative_information_score 6.075878 kb_relative_information_score 4.502998 kb_relative_information_score 9.411898 mean_absolute_error 0.377696 mean_absolute_error 0.298086 mean_absolute_error 0.388573 mean_absolute_error 0.324701 mean_absolute_error 0.397113 mean_absolute_error 0.298458 mean_absolute_error 0.223405 mean_absolute_error 0.242181 mean_absolute_error 0.251736 mean_absolute_error 0.280655 mean_absolute_error 0.270626 mean_absolute_error 0.233504 mean_absolute_error 0.306477 mean_absolute_error 0.392381 mean_absolute_error 0.103838 mean_absolute_error 0.384587 mean_absolute_error 0.235159 mean_absolute_error 0.485597 mean_absolute_error 0.327668 mean_absolute_error 0.088889 mean_absolute_error 0.133333 mean_absolute_error 0.326377 mean_absolute_error 0.273311 mean_absolute_error 0.353571 mean_absolute_error 0.391574 mean_absolute_error 0.285315 mean_absolute_error 0.401584 mean_absolute_error 0.216115 mean_absolute_error 0.335846 mean_absolute_error 0.166561 mean_absolute_error 0.219753 mean_absolute_error 0.332121 mean_absolute_error 0.076094 mean_absolute_error 0.237037 mean_absolute_error 0.224501 mean_absolute_error 0.225166 mean_absolute_error 0.468028 mean_absolute_error 0.13037 mean_absolute_error 0.359493 mean_absolute_error 0.380112 mean_absolute_error 0.243499 mean_absolute_error 0.329177 mean_absolute_error 0.353425 mean_absolute_error 0.224 mean_absolute_error 0.383333 mean_absolute_error 0.274615 mean_absolute_error 0.295556 mean_absolute_error 0.306727 mean_absolute_error 0.381806 mean_absolute_error 0.324741 mean_absolute_error 0.088889 mean_absolute_error 0.339594 mean_absolute_error 0.248148 mean_absolute_error 0.091005 mean_absolute_error 0.295932 mean_absolute_error 0.495833 mean_absolute_error 0.271483 mean_absolute_error 0.194444 mean_absolute_error 0.092064 mean_absolute_error 0.227757 mean_absolute_error 0.353875 mean_absolute_error 0.214815 mean_absolute_error 0.196825 mean_absolute_error 0.310288 mean_absolute_error 0.207303 mean_absolute_error 0.138447 mean_absolute_error 0.275062 mean_absolute_error 0.132698 mean_absolute_error 0.222222 mean_absolute_error 0.3 mean_absolute_error 0.395111 mean_absolute_error 0.419048 mean_absolute_error 0.111111 mean_absolute_error 0.226138 mean_absolute_error 0.364526 mean_absolute_error 0.324804 mean_absolute_error 0.281449 mean_absolute_error 0.381728 mean_absolute_error 0.374374 mean_absolute_error 0.383086 mean_absolute_error 0.266487 mean_absolute_error 0.287881 mean_absolute_error 0.088889 mean_absolute_error 0.122705 mean_absolute_error 0.294916 mean_absolute_error 0.316068 mean_absolute_error 0.199993 mean_absolute_error 0.242702 mean_absolute_error 0.315635 mean_absolute_error 0.228836 mean_absolute_error 0.296296 mean_absolute_error 0.388136 mean_absolute_error 0.216015 mean_absolute_error 0.400943 mean_absolute_error 0.321374 mean_absolute_error 0.161842 mean_absolute_error 0.215873 mean_absolute_error 0.296932 mean_absolute_error 0.347223 mean_absolute_error 0.182422 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] precision 0.363889 [0.444444,0,0.6] precision 0.5375 [0.5,0.5,0.6] precision 0.395833 [0.333333,0.333333,0.5] precision 0.421875 [0.6,0,0.625] precision 0.382812 [0.375,0.25,0.5] precision 0.617188 [0.375,0.4,1] precision 0.739583 [0.666667,0.5,1] precision 0.6875 [0.6,0.8,0.666667] precision 0.697917 [0.666667,0.666667,0.75] precision 0.739583 [0.5,0.666667,1] precision 0.690476 [0.571429,0.5,1] precision 0.662222 [0.75,0.666667,0.6] precision 0.733333 [0.375,1,0.75] precision 0.39 [0.4,0.25,0.5] precision 0.877778 [1,0.833333,0.833333] precision 0.402778 [0.333333,0.375,0.5] precision 0.661667 [0.5,0.625,0.8] precision 0.185185 [0.333333,0.222222,0] precision 0.575 [0.625,0.5,0.6] precision 0.88 [0.8,0.8,1] precision 0.875 [0.625,1,1] precision 0.533333 [0.5,0.5,0.6] precision 0.785185 [0.8,0.555556,1] precision 0.434921 [0.571429,0.333333,0.4] precision 0.275 [0,0.2,0.625] precision 0.690476 [1,0.571429,0.5] precision 0.327778 [0.333333,0.4,0.25] precision 0.793651 [1,0.666667,0.714286] precision 0.555556 [0.5,0.5,0.666667] precision 0.822222 [0.8,0.666667,1] precision 0.722222 [0.833333,0.666667,0.666667] precision 0.565079 [0.428571,0.666667,0.6] precision 0.866667 [0.8,0.8,1] precision 0.722222 [0.5,0.666667,1] precision 0.72381 [0.6,0.571429,1] precision 0.672222 [0.6,0.75,0.666667] precision 0.228571 [0,0.285714,0.4] precision 0.805556 [0.75,1,0.666667] precision 0.511905 [0.5,0.285714,0.75] precision 0.555556 [0.666667,0.666667,0.333333] precision 0.777778 [0.666667,1,0.666667] precision 0.444444 [0.5,0.5,0.333333] precision 0.591667 [0.375,0.4,1] precision 0.679365 [0.8,0.666667,0.571429] precision 0.392857 [0.25,0.428571,0.5] precision 0.722222 [0.666667,0.5,1] precision 0.52381 [0.5,0.5,0.571429] precision 0.75 [1,0.75,0.5] precision 0.561111 [0.6,0.333333,0.75] precision 0.542857 [0.428571,0.2,1] precision 0.877778 [0.833333,0.8,1] precision 0.59596 [0.454545,0.333333,1] precision 0.809524 [0.714286,0.714286,1] precision 0.888889 [0.833333,1,0.833333] precision 0.588889 [0.6,0.5,0.666667] precision 0.336508 [0.142857,0.2,0.666667] precision 0.6 [0.8,0.5,0.5] precision 0.679365 [0.571429,0.666667,0.8] precision 0.904762 [1,0.714286,1] precision 0.726984 [0.666667,0.8,0.714286] precision 0.466667 [0.5,0.4,0.5] precision 0.683333 [0.5,0.75,0.8] precision 0.738095 [0.714286,0.75,0.75] precision 0.559524 [0.428571,0.5,0.75] precision 0.746032 [0.666667,0.571429,1] precision 0.851852 [1,0.555556,1] precision 0.642857 [0.428571,0.75,0.75] precision 0.875 [0.625,1,1] precision 0.666667 [0.6,0.8,0.6] precision 0.559524 [0.5,0.428571,0.75] precision 0.428571 [0.25,0.285714,0.75] precision 0.344444 [0.333333,0.2,0.5] precision 0.904762 [0.714286,1,1] precision 0.791667 [1,0.625,0.75] precision 0.466667 [0.2,0.6,0.6] precision 0.55 [0.4,0.75,0.5] precision 0.616667 [0.5,0.6,0.75] precision 0.420635 [0.333333,0.428571,0.5] precision 0.466667 [0.5,0.4,0.5] precision 0.511905 [0.285714,0.75,0.5] precision 0.579365 [0.5,0.571429,0.666667] precision 0.660317 [0.714286,0.666667,0.6] precision 0.904762 [1,1,0.714286] precision 0.904762 [1,0.714286,1] precision 0.722222 [0.666667,0.5,1] precision 0.611111 [0.666667,0.5,0.666667] precision 0.793651 [1,0.714286,0.666667] precision 0.666667 [0.6,0.8,0.6] precision 0.52381 [0.571429,0.25,0.75] precision 0.633333 [1,0.4,0.5] precision 0.8 [1,1,0.5] precision 0.425 [0.375,0.5,0.4] precision 0.727778 [0.833333,0.6,0.75] precision 0.309524 [0.25,0.25,0.428571] precision 0.559524 [0.75,0.428571,0.5] precision 0.844444 [0.666667,0.8,1] precision 0.644444 [0.6,0.5,0.833333] precision 0.613333 [0.6,0.4,0.8] precision 0.655556 [0.333333,0.5,1] precision 0.77381 [1,0.75,0.571429] predictive_accuracy 0.4375 predictive_accuracy 0.5625 predictive_accuracy 0.375 predictive_accuracy 0.5 predictive_accuracy 0.375 predictive_accuracy 0.5 predictive_accuracy 0.6875 predictive_accuracy 0.6875 predictive_accuracy 0.6875 predictive_accuracy 0.625 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.866667 predictive_accuracy 0.4 predictive_accuracy 0.666667 predictive_accuracy 0.266667 predictive_accuracy 0.6 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.533333 predictive_accuracy 0.666667 predictive_accuracy 0.466667 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.333333 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.266667 predictive_accuracy 0.8 predictive_accuracy 0.466667 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.466667 predictive_accuracy 0.666667 predictive_accuracy 0.4 predictive_accuracy 0.666667 predictive_accuracy 0.533333 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.466667 predictive_accuracy 0.866667 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.266667 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.533333 predictive_accuracy 0.4 predictive_accuracy 0.333333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.466667 predictive_accuracy 0.466667 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.533333 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.733333 predictive_accuracy 0.333333 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.733333 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 recall 0.4375 [0.8,0,0.5] recall 0.5625 [0.4,0.2,1] recall 0.375 [0.4,0.4,0.333333] recall 0.5 [0.6,0,0.833333] recall 0.375 [0.6,0.2,0.333333] recall 0.5 [0.6,0.4,0.5] recall 0.6875 [0.4,0.8,0.833333] recall 0.6875 [0.6,0.8,0.666667] recall 0.6875 [0.8,0.8,0.5] recall 0.625 [0.8,0.8,0.333333] recall 0.6 [0.8,0.6,0.4] recall 0.666667 [0.75,0.8,0.5] recall 0.6 [0.75,0.6,0.5] recall 0.4 [0.5,0.2,0.5] recall 0.866667 [0.75,1,0.833333] recall 0.4 [0.2,0.6,0.4] recall 0.666667 [0.25,1,0.666667] recall 0.266667 [0.4,0.4,0] recall 0.6 [1,0.2,0.6] recall 0.866667 [1,0.8,0.833333] recall 0.8 [1,0.6,0.8] recall 0.533333 [0.4,0.6,0.6] recall 0.666667 [0.8,1,0.2] recall 0.466667 [0.8,0.2,0.4] recall 0.4 [0,0.2,1] recall 0.6 [0.4,0.8,0.6] recall 0.333333 [0.4,0.4,0.2] recall 0.733333 [0.4,0.8,1] recall 0.533333 [0.8,0.4,0.4] recall 0.8 [0.8,0.8,0.8] recall 0.733333 [1,0.8,0.4] recall 0.533333 [0.6,0.4,0.6] recall 0.866667 [0.8,0.8,1] recall 0.666667 [0.8,0.4,0.8] recall 0.666667 [0.6,0.8,0.6] recall 0.666667 [0.6,0.6,0.8] recall 0.266667 [0,0.4,0.4] recall 0.8 [0.6,1,0.8] recall 0.466667 [0.4,0.4,0.6] recall 0.466667 [0.4,0.4,0.6] recall 0.733333 [0.8,0.6,0.8] recall 0.466667 [0.4,0.8,0.2] recall 0.466667 [0.6,0.4,0.4] recall 0.666667 [0.8,0.4,0.8] recall 0.4 [0.2,0.6,0.4] recall 0.666667 [0.8,0.6,0.6] recall 0.533333 [0.4,0.4,0.8] recall 0.6 [0.2,0.6,1] recall 0.533333 [0.6,0.4,0.6] recall 0.466667 [0.6,0.2,0.6] recall 0.866667 [1,0.8,0.8] recall 0.466667 [1,0.2,0.2] recall 0.733333 [1,1,0.2] recall 0.866667 [1,0.6,1] recall 0.6 [0.6,0.4,0.8] recall 0.266667 [0.2,0.2,0.4] recall 0.6 [0.8,0.4,0.6] recall 0.666667 [0.8,0.4,0.8] recall 0.866667 [0.8,1,0.8] recall 0.733333 [0.4,0.8,1] recall 0.466667 [0.2,0.4,0.8] recall 0.666667 [0.6,0.6,0.8] recall 0.733333 [1,0.6,0.6] recall 0.533333 [0.6,0.4,0.6] recall 0.733333 [0.4,0.8,1] recall 0.733333 [0.6,1,0.6] recall 0.6 [0.6,0.6,0.6] recall 0.8 [1,0.8,0.6] recall 0.666667 [0.6,0.8,0.6] recall 0.533333 [0.4,0.6,0.6] recall 0.4 [0.2,0.4,0.6] recall 0.333333 [0.4,0.2,0.4] recall 0.866667 [1,0.8,0.8] recall 0.733333 [0.6,1,0.6] recall 0.466667 [0.2,0.6,0.6] recall 0.533333 [0.4,0.6,0.6] recall 0.6 [0.6,0.6,0.6] recall 0.4 [0.4,0.6,0.2] recall 0.466667 [0.2,0.4,0.8] recall 0.466667 [0.4,0.6,0.4] recall 0.6 [0.2,0.8,0.8] recall 0.666667 [1,0.4,0.6] recall 0.866667 [0.6,1,1] recall 0.866667 [1,1,0.6] recall 0.6 [0.8,0.8,0.2] recall 0.6 [0.8,0.6,0.4] recall 0.733333 [0.4,1,0.8] recall 0.666667 [0.6,0.8,0.6] recall 0.533333 [0.8,0.2,0.6] recall 0.6 [0.8,0.4,0.6] recall 0.6 [0.5,0.2,1] recall 0.4 [0.6,0.2,0.4] recall 0.733333 [1,0.6,0.6] recall 0.333333 [0.2,0.2,0.6] recall 0.533333 [0.6,0.6,0.4] recall 0.8 [1,0.8,0.666667] recall 0.666667 [0.6,0.4,1] recall 0.6 [0.75,0.4,0.666667] recall 0.533333 [0.25,1,0.333333] recall 0.733333 [0.8,0.6,0.8] relative_absolute_error 0.850678 relative_absolute_error 0.671374 relative_absolute_error 0.875178 relative_absolute_error 0.731319 relative_absolute_error 0.894412 relative_absolute_error 0.672212 relative_absolute_error 0.503173 relative_absolute_error 0.54546 relative_absolute_error 0.566981 relative_absolute_error 0.632115 relative_absolute_error 0.608908 relative_absolute_error 0.52641 relative_absolute_error 0.69092 relative_absolute_error 0.88458 relative_absolute_error 0.234092 relative_absolute_error 0.865321 relative_absolute_error 0.530141 relative_absolute_error 1.092593 relative_absolute_error 0.737253 relative_absolute_error 0.20039 relative_absolute_error 0.3 relative_absolute_error 0.734349 relative_absolute_error 0.614951 relative_absolute_error 0.795536 relative_absolute_error 0.881041 relative_absolute_error 0.641958 relative_absolute_error 0.903563 relative_absolute_error 0.486258 relative_absolute_error 0.755653 relative_absolute_error 0.374762 relative_absolute_error 0.494444 relative_absolute_error 0.747273 relative_absolute_error 0.171212 relative_absolute_error 0.533333 relative_absolute_error 0.505128 relative_absolute_error 0.506623 relative_absolute_error 1.053064 relative_absolute_error 0.293333 relative_absolute_error 0.808858 relative_absolute_error 0.855251 relative_absolute_error 0.547874 relative_absolute_error 0.740648 relative_absolute_error 0.795206 relative_absolute_error 0.504 relative_absolute_error 0.8625 relative_absolute_error 0.617884 relative_absolute_error 0.665 relative_absolute_error 0.690136 relative_absolute_error 0.859064 relative_absolute_error 0.730667 relative_absolute_error 0.2 relative_absolute_error 0.764087 relative_absolute_error 0.558333 relative_absolute_error 0.204762 relative_absolute_error 0.665846 relative_absolute_error 1.115625 relative_absolute_error 0.610836 relative_absolute_error 0.4375 relative_absolute_error 0.207143 relative_absolute_error 0.512454 relative_absolute_error 0.796218 relative_absolute_error 0.483333 relative_absolute_error 0.442857 relative_absolute_error 0.698148 relative_absolute_error 0.466431 relative_absolute_error 0.311507 relative_absolute_error 0.618889 relative_absolute_error 0.298571 relative_absolute_error 0.5 relative_absolute_error 0.675 relative_absolute_error 0.889 relative_absolute_error 0.942857 relative_absolute_error 0.25 relative_absolute_error 0.50881 relative_absolute_error 0.820184 relative_absolute_error 0.730808 relative_absolute_error 0.633261 relative_absolute_error 0.858889 relative_absolute_error 0.842341 relative_absolute_error 0.861944 relative_absolute_error 0.599596 relative_absolute_error 0.647731 relative_absolute_error 0.2 relative_absolute_error 0.276087 relative_absolute_error 0.663562 relative_absolute_error 0.711152 relative_absolute_error 0.449983 relative_absolute_error 0.546079 relative_absolute_error 0.710178 relative_absolute_error 0.514881 relative_absolute_error 0.667968 relative_absolute_error 0.873306 relative_absolute_error 0.486035 relative_absolute_error 0.902121 relative_absolute_error 0.723091 relative_absolute_error 0.364856 relative_absolute_error 0.485714 relative_absolute_error 0.669402 relative_absolute_error 0.782776 relative_absolute_error 0.410449 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_squared_error 0.56034 root_mean_squared_error 0.48183 root_mean_squared_error 0.589053 root_mean_squared_error 0.532433 root_mean_squared_error 0.56022 root_mean_squared_error 0.503609 root_mean_squared_error 0.416473 root_mean_squared_error 0.432013 root_mean_squared_error 0.44106 root_mean_squared_error 0.427283 root_mean_squared_error 0.442657 root_mean_squared_error 0.415184 root_mean_squared_error 0.452522 root_mean_squared_error 0.583502 root_mean_squared_error 0.292288 root_mean_squared_error 0.582044 root_mean_squared_error 0.378392 root_mean_squared_error 0.64901 root_mean_squared_error 0.497866 root_mean_squared_error 0.298142 root_mean_squared_error 0.347528 root_mean_squared_error 0.465628 root_mean_squared_error 0.449885 root_mean_squared_error 0.481018 root_mean_squared_error 0.533101 root_mean_squared_error 0.469788 root_mean_squared_error 0.55126 root_mean_squared_error 0.391262 root_mean_squared_error 0.513536 root_mean_squared_error 0.364373 root_mean_squared_error 0.405636 root_mean_squared_error 0.484585 root_mean_squared_error 0.242256 root_mean_squared_error 0.440258 root_mean_squared_error 0.396611 root_mean_squared_error 0.391193 root_mean_squared_error 0.625646 root_mean_squared_error 0.304696 root_mean_squared_error 0.493025 root_mean_squared_error 0.552998 root_mean_squared_error 0.378877 root_mean_squared_error 0.495832 root_mean_squared_error 0.508759 root_mean_squared_error 0.441543 root_mean_squared_error 0.585257 root_mean_squared_error 0.438051 root_mean_squared_error 0.486663 root_mean_squared_error 0.42589 root_mean_squared_error 0.501078 root_mean_squared_error 0.498385 root_mean_squared_error 0.298142 root_mean_squared_error 0.519639 root_mean_squared_error 0.428715 root_mean_squared_error 0.281271 root_mean_squared_error 0.453582 root_mean_squared_error 0.655176 root_mean_squared_error 0.452217 root_mean_squared_error 0.367314 root_mean_squared_error 0.271573 root_mean_squared_error 0.366276 root_mean_squared_error 0.552236 root_mean_squared_error 0.382067 root_mean_squared_error 0.392292 root_mean_squared_error 0.483429 root_mean_squared_error 0.365713 root_mean_squared_error 0.298703 root_mean_squared_error 0.477097 root_mean_squared_error 0.300461 root_mean_squared_error 0.471405 root_mean_squared_error 0.505093 root_mean_squared_error 0.539421 root_mean_squared_error 0.596258 root_mean_squared_error 0.316228 root_mean_squared_error 0.382302 root_mean_squared_error 0.525378 root_mean_squared_error 0.502394 root_mean_squared_error 0.439169 root_mean_squared_error 0.553606 root_mean_squared_error 0.537959 root_mean_squared_error 0.537283 root_mean_squared_error 0.453436 root_mean_squared_error 0.424768 root_mean_squared_error 0.298142 root_mean_squared_error 0.302375 root_mean_squared_error 0.413941 root_mean_squared_error 0.488527 root_mean_squared_error 0.395044 root_mean_squared_error 0.431098 root_mean_squared_error 0.495217 root_mean_squared_error 0.44602 root_mean_squared_error 0.428973 root_mean_squared_error 0.546792 root_mean_squared_error 0.378125 root_mean_squared_error 0.577073 root_mean_squared_error 0.474525 root_mean_squared_error 0.354761 root_mean_squared_error 0.429645 root_mean_squared_error 0.486462 root_mean_squared_error 0.504461 root_mean_squared_error 0.360559 root_relative_squared_error 1.189693 root_relative_squared_error 1.023003 root_relative_squared_error 1.250655 root_relative_squared_error 1.130443 root_relative_squared_error 1.189439 root_relative_squared_error 1.069244 root_relative_squared_error 0.884239 root_relative_squared_error 0.917233 root_relative_squared_error 0.936442 root_relative_squared_error 0.907191 root_relative_squared_error 0.938878 root_relative_squared_error 0.882328 root_relative_squared_error 0.961677 root_relative_squared_error 1.24003 root_relative_squared_error 0.621157 root_relative_squared_error 1.23452 root_relative_squared_error 0.80414 root_relative_squared_error 1.376554 root_relative_squared_error 1.055978 root_relative_squared_error 0.633597 root_relative_squared_error 0.737109 root_relative_squared_error 0.987601 root_relative_squared_error 0.95421 root_relative_squared_error 1.020243 root_relative_squared_error 1.130711 root_relative_squared_error 0.996424 root_relative_squared_error 1.169226 root_relative_squared_error 0.82987 root_relative_squared_error 1.089215 root_relative_squared_error 0.772839 root_relative_squared_error 0.860357 root_relative_squared_error 1.027807 root_relative_squared_error 0.513826 root_relative_squared_error 0.93379 root_relative_squared_error 0.841214 root_relative_squared_error 0.829724 root_relative_squared_error 1.326999 root_relative_squared_error 0.646262 root_relative_squared_error 1.045709 root_relative_squared_error 1.172913 root_relative_squared_error 0.803601 root_relative_squared_error 1.051663 root_relative_squared_error 1.079082 root_relative_squared_error 0.936515 root_relative_squared_error 1.241334 root_relative_squared_error 0.92911 root_relative_squared_error 1.032216 root_relative_squared_error 0.903317 root_relative_squared_error 1.06279 root_relative_squared_error 1.057078 root_relative_squared_error 0.632362 root_relative_squared_error 1.102159 root_relative_squared_error 0.909307 root_relative_squared_error 0.596577 root_relative_squared_error 0.96205 root_relative_squared_error 1.389633 root_relative_squared_error 0.959156 root_relative_squared_error 0.779075 root_relative_squared_error 0.576009 root_relative_squared_error 0.776874 root_relative_squared_error 1.171296 root_relative_squared_error 0.810367 root_relative_squared_error 0.832053 root_relative_squared_error 1.025356 root_relative_squared_error 0.77568 root_relative_squared_error 0.633551 root_relative_squared_error 1.011926 root_relative_squared_error 0.637279 root_relative_squared_error 0.999852 root_relative_squared_error 1.071307 root_relative_squared_error 1.144116 root_relative_squared_error 1.264668 root_relative_squared_error 0.670721 root_relative_squared_error 0.810866 root_relative_squared_error 1.11433 root_relative_squared_error 1.065582 root_relative_squared_error 0.931481 root_relative_squared_error 1.174202 root_relative_squared_error 1.141016 root_relative_squared_error 1.139582 root_relative_squared_error 0.961741 root_relative_squared_error 0.900935 root_relative_squared_error 0.632362 root_relative_squared_error 0.641339 root_relative_squared_error 0.877972 root_relative_squared_error 1.036169 root_relative_squared_error 0.837892 root_relative_squared_error 0.914361 root_relative_squared_error 1.050358 root_relative_squared_error 0.946012 root_relative_squared_error 0.911633 root_relative_squared_error 1.15975 root_relative_squared_error 0.802005 root_relative_squared_error 1.223975 root_relative_squared_error 1.006471 root_relative_squared_error 0.753919 root_relative_squared_error 0.91128 root_relative_squared_error 1.033804 root_relative_squared_error 1.072055 root_relative_squared_error 0.764748 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 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