433847 2 Joaquin Vanschoren 4654 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2064 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 40 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 40 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 1115 teachingAssistant https://www.openml.org/data/download/53998/teachingAssistant.arff -1 1516516 description https://api.openml.org/data/download/1516516/weka_generated_run2055068453616195278.xml -1 1516519 model_readable https://api.openml.org/data/download/1516519/WekaModel_weka.classifiers.meta.RotationForest8441444063157854519.model -1 1516518 model_serialized https://api.openml.org/data/download/1516518/WekaSerialized_weka.classifiers.meta.RotationForest6042701457711042894.model -1 1516517 predictions https://api.openml.org/data/download/1516517/weka_generated_predictions6466138409668921365.arff area_under_roc_curve 0.805208 [0.823169,0.775402,0.816942] average_cost 0 f_measure 0.624088 [0.618905,0.592369,0.65947] kappa 0.435837 kb_relative_information_score 551.971183 mean_absolute_error 0.317184 mean_prior_absolute_error 0.444311 number_of_instances 1510 [490,500,520] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.624783 [0.603883,0.594758,0.673347] predictive_accuracy 0.623841 prior_entropy 1.584538 recall 0.623841 [0.634694,0.59,0.646154] relative_absolute_error 0.713879 root_mean_prior_squared_error 0.471332 root_mean_squared_error 0.402637 root_relative_squared_error 0.854253 scimark_benchmark 939.800234 [558.1570048, 1011.5249537742577, 480.4213690634573, 902.3889933967491, 1746.5088487702178] total_cost 0 usercpu_time_millis 480 usercpu_time_millis_testing 60 usercpu_time_millis_training 420 area_under_roc_curve 0.7125 [0.727273,0.672727,0.733333] area_under_roc_curve 0.943182 [0.909091,0.909091,1] area_under_roc_curve 0.749432 [0.890909,0.527273,0.816667] area_under_roc_curve 0.773864 [0.836364,0.6,0.866667] area_under_roc_curve 0.764773 [0.745455,0.781818,0.766667] area_under_roc_curve 0.848864 [0.854545,0.781818,0.9] area_under_roc_curve 0.8125 [0.854545,0.745455,0.833333] area_under_roc_curve 0.784659 [0.854545,0.836364,0.683333] area_under_roc_curve 0.9 [0.890909,0.909091,0.9] area_under_roc_curve 0.888636 [0.854545,0.909091,0.9] area_under_roc_curve 0.946667 [1,0.88,0.96] area_under_roc_curve 0.891448 [0.931818,0.84,0.907407] area_under_roc_curve 0.681212 [0.704545,0.88,0.5] area_under_roc_curve 0.725993 [0.636364,0.78,0.740741] area_under_roc_curve 0.834545 [0.954545,0.74,0.833333] area_under_roc_curve 0.653333 [0.62,0.82,0.52] area_under_roc_curve 0.893401 [0.886364,0.86,0.925926] area_under_roc_curve 0.646667 [0.56,0.46,0.92] area_under_roc_curve 0.74 [0.78,0.62,0.82] area_under_roc_curve 0.70431 [0.727273,0.62,0.759259] area_under_roc_curve 0.88 [0.84,0.88,0.92] area_under_roc_curve 0.833333 [0.84,0.9,0.76] area_under_roc_curve 0.8 [0.92,0.74,0.74] area_under_roc_curve 0.893333 [0.92,0.9,0.86] area_under_roc_curve 0.68 [0.64,0.66,0.74] area_under_roc_curve 0.873333 [0.88,0.82,0.92] area_under_roc_curve 0.613333 [0.7,0.54,0.6] area_under_roc_curve 0.78 [0.82,0.72,0.8] area_under_roc_curve 0.74 [0.86,0.68,0.68] area_under_roc_curve 0.913333 [1,0.8,0.94] area_under_roc_curve 0.786667 [0.86,0.9,0.6] area_under_roc_curve 0.986667 [1,1,0.96] area_under_roc_curve 0.92 [0.9,0.94,0.92] area_under_roc_curve 0.753333 [0.78,0.56,0.92] area_under_roc_curve 0.826667 [0.9,0.8,0.78] area_under_roc_curve 0.686667 [0.74,0.66,0.66] area_under_roc_curve 0.606667 [0.4,0.6,0.82] area_under_roc_curve 0.813333 [0.72,0.9,0.82] area_under_roc_curve 0.866667 [0.94,0.76,0.9] area_under_roc_curve 0.78 [0.92,0.7,0.72] area_under_roc_curve 0.826667 [0.78,0.86,0.84] area_under_roc_curve 0.806667 [0.86,0.74,0.82] area_under_roc_curve 0.906667 [0.9,0.86,0.96] area_under_roc_curve 0.773333 [0.86,0.54,0.92] area_under_roc_curve 0.76 [0.78,0.62,0.88] area_under_roc_curve 0.846667 [0.84,0.82,0.88] area_under_roc_curve 0.82 [0.86,0.78,0.82] area_under_roc_curve 0.92 [0.96,0.84,0.96] area_under_roc_curve 0.78 [0.94,0.6,0.8] area_under_roc_curve 0.706667 [0.82,0.56,0.74] area_under_roc_curve 0.853333 [0.9,0.84,0.82] area_under_roc_curve 0.72 [0.8,0.66,0.7] area_under_roc_curve 0.786667 [0.76,0.9,0.7] area_under_roc_curve 0.826667 [0.8,0.86,0.82] area_under_roc_curve 0.826667 [0.86,0.72,0.9] area_under_roc_curve 0.646667 [0.52,0.58,0.84] area_under_roc_curve 0.893333 [0.92,0.8,0.96] area_under_roc_curve 0.906667 [0.96,0.84,0.92] area_under_roc_curve 0.786667 [0.76,0.78,0.82] area_under_roc_curve 0.913333 [0.9,0.9,0.94] area_under_roc_curve 0.733333 [0.66,0.8,0.74] area_under_roc_curve 0.9 [0.88,0.9,0.92] area_under_roc_curve 0.78 [0.88,0.74,0.72] area_under_roc_curve 0.64 [0.7,0.44,0.78] area_under_roc_curve 0.866667 [0.84,0.92,0.84] area_under_roc_curve 0.96 [0.92,0.98,0.98] area_under_roc_curve 0.866667 [0.96,0.74,0.9] area_under_roc_curve 0.766667 [0.8,0.86,0.64] area_under_roc_curve 0.826667 [0.8,0.9,0.78] area_under_roc_curve 0.526667 [0.68,0.48,0.42] area_under_roc_curve 0.76 [0.88,0.56,0.84] area_under_roc_curve 0.673333 [0.62,0.56,0.84] area_under_roc_curve 0.96 [0.92,0.96,1] area_under_roc_curve 0.78 [0.78,0.9,0.66] area_under_roc_curve 0.813333 [0.74,0.84,0.86] area_under_roc_curve 0.826667 [0.84,0.78,0.86] area_under_roc_curve 0.953333 [0.96,0.98,0.92] area_under_roc_curve 0.78 [0.64,0.82,0.88] area_under_roc_curve 0.92 [0.96,0.9,0.9] area_under_roc_curve 0.78 [0.66,0.94,0.74] area_under_roc_curve 0.82 [0.94,0.6,0.92] area_under_roc_curve 0.826667 [0.92,0.82,0.74] area_under_roc_curve 0.7 [0.6,0.7,0.8] area_under_roc_curve 0.94 [0.98,1,0.84] area_under_roc_curve 0.933333 [0.98,0.94,0.88] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.773333 [0.9,0.78,0.64] area_under_roc_curve 0.933333 [0.96,0.9,0.94] area_under_roc_curve 0.78 [0.72,0.78,0.84] area_under_roc_curve 0.84 [0.92,0.74,0.86] area_under_roc_curve 0.946263 [0.931818,0.96,0.944444] area_under_roc_curve 0.766667 [0.84,0.72,0.74] area_under_roc_curve 0.946667 [1,0.9,0.94] area_under_roc_curve 0.826667 [0.84,0.84,0.8] area_under_roc_curve 0.94 [0.94,0.9,0.98] area_under_roc_curve 0.791785 [0.863636,0.84,0.703704] area_under_roc_curve 0.766667 [0.64,0.78,0.88] area_under_roc_curve 0.739259 [1,0.64,0.648148] area_under_roc_curve 0.841347 [0.727273,0.92,0.851852] area_under_roc_curve 0.746667 [0.76,0.66,0.82] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.552083 [0.666667,0.5,0.5] f_measure 0.578869 [0.285714,0.666667,0.75] f_measure 0.510417 [0.5,0.333333,0.666667] f_measure 0.458916 [0.545455,0,0.769231] f_measure 0.5 [0.4,0.6,0.5] f_measure 0.629808 [0.6,0.615385,0.666667] f_measure 0.6875 [0.6,0.727273,0.727273] f_measure 0.75 [0.8,0.8,0.666667] f_measure 0.675366 [0.571429,0.666667,0.769231] f_measure 0.748718 [0.666667,0.769231,0.8] f_measure 0.795455 [0.909091,0.727273,0.75] f_measure 0.741703 [0.857143,0.666667,0.727273] f_measure 0.550855 [0.461538,0.75,0.444444] f_measure 0.607407 [0.444444,0.666667,0.666667] f_measure 0.666667 [0.75,0.6,0.666667] f_measure 0.222222 [0,0.5,0.166667] f_measure 0.644444 [0.333333,0.666667,0.833333] f_measure 0.407407 [0.222222,0.333333,0.666667] f_measure 0.455892 [0.545455,0.222222,0.6] f_measure 0.68 [0.6,0.6,0.8] f_measure 0.664646 [0.6,0.727273,0.666667] f_measure 0.651515 [0.727273,0.727273,0.5] f_measure 0.672222 [0.75,0.666667,0.6] f_measure 0.796296 [0.833333,0.666667,0.888889] f_measure 0.529966 [0.444444,0.6,0.545455] f_measure 0.733333 [0.8,0.6,0.8] f_measure 0.386364 [0.545455,0.363636,0.25] f_measure 0.500366 [0.6,0.285714,0.615385] f_measure 0.43661 [0.615385,0.25,0.444444] f_measure 0.666667 [0.888889,0.444444,0.666667] f_measure 0.61544 [0.727273,0.833333,0.285714] f_measure 0.865993 [0.909091,0.888889,0.8] f_measure 0.731313 [0.666667,0.8,0.727273] f_measure 0.405128 [0.615385,0,0.6] f_measure 0.533333 [0.6,0.5,0.5] f_measure 0.466667 [0.4,0.6,0.4] f_measure 0.39627 [0,0.461538,0.727273] f_measure 0.611111 [0.5,0.666667,0.666667] f_measure 0.731313 [0.666667,0.727273,0.8] f_measure 0.590909 [0.727273,0.5,0.545455] f_measure 0.674242 [0.545455,0.75,0.727273] f_measure 0.594517 [0.571429,0.545455,0.666667] f_measure 0.719373 [0.769231,0.5,0.888889] f_measure 0.507576 [0.727273,0.25,0.545455] f_measure 0.477778 [0.6,0.333333,0.5] f_measure 0.728632 [0.769231,0.666667,0.75] f_measure 0.462963 [0.5,0.444444,0.444444] f_measure 0.722222 [0.666667,0.666667,0.833333] f_measure 0.522222 [0.5,0.4,0.666667] f_measure 0.505556 [0.666667,0.25,0.6] f_measure 0.731313 [0.727273,0.666667,0.8] f_measure 0.357143 [0.5,0,0.571429] f_measure 0.60404 [0.6,0.666667,0.545455] f_measure 0.595604 [0.615385,0.6,0.571429] f_measure 0.555556 [0.666667,0.333333,0.666667] f_measure 0.395286 [0.363636,0.222222,0.6] f_measure 0.712121 [0.727273,0.5,0.909091] f_measure 0.791919 [0.909091,0.666667,0.8] f_measure 0.4633 [0.4,0.444444,0.545455] f_measure 0.734848 [0.727273,0.75,0.727273] f_measure 0.43661 [0.25,0.444444,0.615385] f_measure 0.731313 [0.727273,0.666667,0.8] f_measure 0.515751 [0.8,0.285714,0.461538] f_measure 0.466667 [0.4,0.4,0.6] f_measure 0.657239 [0.444444,0.727273,0.8] f_measure 0.796296 [0.666667,0.833333,0.888889] f_measure 0.791919 [0.909091,0.666667,0.8] f_measure 0.734848 [0.727273,0.727273,0.75] f_measure 0.599567 [0.5,0.727273,0.571429] f_measure 0.327778 [0.25,0.333333,0.4] f_measure 0.592593 [0.666667,0.444444,0.666667] f_measure 0.336027 [0.363636,0.2,0.444444] f_measure 0.796296 [0.666667,0.888889,0.833333] f_measure 0.650072 [0.571429,0.833333,0.545455] f_measure 0.510684 [0.25,0.615385,0.666667] f_measure 0.713553 [0.8,0.571429,0.769231] f_measure 0.713553 [0.8,0.769231,0.571429] f_measure 0.59798 [0.4,0.727273,0.666667] f_measure 0.794444 [0.75,0.833333,0.8] f_measure 0.571429 [0.5,0.714286,0.5] f_measure 0.590909 [0.5,0.545455,0.727273] f_measure 0.731313 [0.8,0.727273,0.666667] f_measure 0.59798 [0.4,0.727273,0.666667] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.856061 [0.909091,0.909091,0.75] f_measure 0.856061 [0.909091,0.75,0.909091] f_measure 0.469697 [0.5,0.545455,0.363636] f_measure 0.805387 [0.727273,0.888889,0.8] f_measure 0.662271 [0.615385,0.571429,0.8] f_measure 0.529966 [0.545455,0.444444,0.6] f_measure 0.794729 [0.888889,0.75,0.769231] f_measure 0.383333 [0.5,0.25,0.4] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.529966 [0.6,0.545455,0.444444] f_measure 0.795455 [0.727273,0.75,0.909091] f_measure 0.606061 [0.5,0.545455,0.727273] f_measure 0.595604 [0.615385,0.571429,0.6] f_measure 0.6737 [0.857143,0.615385,0.6] f_measure 0.721068 [0.571429,0.833333,0.727273] f_measure 0.45 [0.5,0.25,0.6] kappa 0.356322 kappa 0.421687 kappa 0.247059 kappa 0.242604 kappa 0.247059 kappa 0.445087 kappa 0.532164 kappa 0.623529 kappa 0.526627 kappa 0.627907 kappa 0.7 kappa 0.594595 kappa 0.326923 kappa 0.407895 kappa 0.493243 kappa -0.1 kappa 0.486301 kappa 0.1 kappa 0.2 kappa 0.506579 kappa 0.5 kappa 0.5 kappa 0.5 kappa 0.7 kappa 0.3 kappa 0.6 kappa 0.1 kappa 0.3 kappa 0.2 kappa 0.5 kappa 0.5 kappa 0.8 kappa 0.6 kappa 0.2 kappa 0.3 kappa 0.2 kappa 0.2 kappa 0.4 kappa 0.6 kappa 0.4 kappa 0.5 kappa 0.4 kappa 0.6 kappa 0.3 kappa 0.2 kappa 0.6 kappa 0.2 kappa 0.6 kappa 0.3 kappa 0.3 kappa 0.6 kappa 0.1 kappa 0.4 kappa 0.4 kappa 0.4 kappa 0.1 kappa 0.6 kappa 0.7 kappa 0.2 kappa 0.6 kappa 0.2 kappa 0.6 kappa 0.3 kappa 0.2 kappa 0.5 kappa 0.7 kappa 0.7 kappa 0.6 kappa 0.4 kappa 0 kappa 0.4 kappa 0 kappa 0.7 kappa 0.5 kappa 0.3 kappa 0.6 kappa 0.6 kappa 0.4 kappa 0.7 kappa 0.4 kappa 0.4 kappa 0.6 kappa 0.4 kappa 0.9 kappa 0.8 kappa 0.8 kappa 0.2 kappa 0.7 kappa 0.5 kappa 0.3 kappa 0.695946 kappa 0.1 kappa 0.8 kappa 0.3 kappa 0.7 kappa 0.395973 kappa 0.4 kappa 0.496644 kappa 0.594595 kappa 0.2 kb_relative_information_score 4.018092 kb_relative_information_score 6.558542 kb_relative_information_score 4.397031 kb_relative_information_score 5.173288 kb_relative_information_score 4.757286 kb_relative_information_score 6.06919 kb_relative_information_score 5.830403 kb_relative_information_score 5.513243 kb_relative_information_score 7.198783 kb_relative_information_score 7.317265 kb_relative_information_score 7.575961 kb_relative_information_score 7.281391 kb_relative_information_score 4.17489 kb_relative_information_score 5.237094 kb_relative_information_score 5.852896 kb_relative_information_score 2.287805 kb_relative_information_score 6.986224 kb_relative_information_score 2.633246 kb_relative_information_score 4.211363 kb_relative_information_score 5.583569 kb_relative_information_score 5.758109 kb_relative_information_score 5.252883 kb_relative_information_score 4.543296 kb_relative_information_score 6.466407 kb_relative_information_score 3.26532 kb_relative_information_score 5.817931 kb_relative_information_score 2.549482 kb_relative_information_score 4.534577 kb_relative_information_score 4.217629 kb_relative_information_score 6.525991 kb_relative_information_score 5.518624 kb_relative_information_score 8.363099 kb_relative_information_score 7.444818 kb_relative_information_score 4.241909 kb_relative_information_score 5.470222 kb_relative_information_score 3.518757 kb_relative_information_score 3.046327 kb_relative_information_score 5.611723 kb_relative_information_score 6.535212 kb_relative_information_score 4.624669 kb_relative_information_score 5.947629 kb_relative_information_score 5.070054 kb_relative_information_score 6.500142 kb_relative_information_score 4.896297 kb_relative_information_score 3.926119 kb_relative_information_score 6.756283 kb_relative_information_score 5.383467 kb_relative_information_score 7.327752 kb_relative_information_score 5.383088 kb_relative_information_score 3.871819 kb_relative_information_score 5.992761 kb_relative_information_score 4.146936 kb_relative_information_score 5.141271 kb_relative_information_score 5.566746 kb_relative_information_score 5.554281 kb_relative_information_score 2.262411 kb_relative_information_score 6.539224 kb_relative_information_score 7.030123 kb_relative_information_score 5.084976 kb_relative_information_score 7.781661 kb_relative_information_score 3.465709 kb_relative_information_score 6.258956 kb_relative_information_score 4.839486 kb_relative_information_score 3.358538 kb_relative_information_score 6.497156 kb_relative_information_score 7.177459 kb_relative_information_score 6.593165 kb_relative_information_score 6.393464 kb_relative_information_score 5.699204 kb_relative_information_score 1.487102 kb_relative_information_score 4.984134 kb_relative_information_score 2.746628 kb_relative_information_score 8.118914 kb_relative_information_score 4.812406 kb_relative_information_score 5.66587 kb_relative_information_score 5.551104 kb_relative_information_score 6.95862 kb_relative_information_score 5.282613 kb_relative_information_score 6.449976 kb_relative_information_score 5.498405 kb_relative_information_score 5.15346 kb_relative_information_score 5.154814 kb_relative_information_score 4.748693 kb_relative_information_score 8.529342 kb_relative_information_score 7.79181 kb_relative_information_score 9.68479 kb_relative_information_score 4.578397 kb_relative_information_score 7.321044 kb_relative_information_score 5.851306 kb_relative_information_score 4.447037 kb_relative_information_score 7.317173 kb_relative_information_score 4.270302 kb_relative_information_score 7.70759 kb_relative_information_score 4.642095 kb_relative_information_score 8.447077 kb_relative_information_score 6.466425 kb_relative_information_score 4.708548 kb_relative_information_score 4.985096 kb_relative_information_score 6.524113 kb_relative_information_score 3.675574 mean_absolute_error 0.370335 mean_absolute_error 0.290531 mean_absolute_error 0.351552 mean_absolute_error 0.32793 mean_absolute_error 0.346068 mean_absolute_error 0.307388 mean_absolute_error 0.322244 mean_absolute_error 0.335054 mean_absolute_error 0.276767 mean_absolute_error 0.280375 mean_absolute_error 0.257843 mean_absolute_error 0.265096 mean_absolute_error 0.357245 mean_absolute_error 0.326591 mean_absolute_error 0.305976 mean_absolute_error 0.399507 mean_absolute_error 0.269999 mean_absolute_error 0.393167 mean_absolute_error 0.350143 mean_absolute_error 0.323987 mean_absolute_error 0.306244 mean_absolute_error 0.327683 mean_absolute_error 0.346867 mean_absolute_error 0.294856 mean_absolute_error 0.387432 mean_absolute_error 0.308267 mean_absolute_error 0.401395 mean_absolute_error 0.340002 mean_absolute_error 0.353221 mean_absolute_error 0.284249 mean_absolute_error 0.322265 mean_absolute_error 0.240034 mean_absolute_error 0.255361 mean_absolute_error 0.346269 mean_absolute_error 0.31456 mean_absolute_error 0.373759 mean_absolute_error 0.384005 mean_absolute_error 0.30423 mean_absolute_error 0.289121 mean_absolute_error 0.343432 mean_absolute_error 0.30074 mean_absolute_error 0.33151 mean_absolute_error 0.292034 mean_absolute_error 0.337235 mean_absolute_error 0.352156 mean_absolute_error 0.282954 mean_absolute_error 0.317624 mean_absolute_error 0.257599 mean_absolute_error 0.322453 mean_absolute_error 0.36306 mean_absolute_error 0.306006 mean_absolute_error 0.356895 mean_absolute_error 0.320899 mean_absolute_error 0.317729 mean_absolute_error 0.316147 mean_absolute_error 0.405695 mean_absolute_error 0.292046 mean_absolute_error 0.274801 mean_absolute_error 0.326703 mean_absolute_error 0.247557 mean_absolute_error 0.373288 mean_absolute_error 0.291114 mean_absolute_error 0.333129 mean_absolute_error 0.382334 mean_absolute_error 0.287037 mean_absolute_error 0.268203 mean_absolute_error 0.296194 mean_absolute_error 0.297455 mean_absolute_error 0.308946 mean_absolute_error 0.435079 mean_absolute_error 0.334696 mean_absolute_error 0.382224 mean_absolute_error 0.238574 mean_absolute_error 0.337766 mean_absolute_error 0.307105 mean_absolute_error 0.321244 mean_absolute_error 0.278161 mean_absolute_error 0.324118 mean_absolute_error 0.297158 mean_absolute_error 0.316146 mean_absolute_error 0.328503 mean_absolute_error 0.332801 mean_absolute_error 0.342497 mean_absolute_error 0.23994 mean_absolute_error 0.263522 mean_absolute_error 0.198524 mean_absolute_error 0.331389 mean_absolute_error 0.272807 mean_absolute_error 0.308473 mean_absolute_error 0.351083 mean_absolute_error 0.260564 mean_absolute_error 0.343592 mean_absolute_error 0.25654 mean_absolute_error 0.339199 mean_absolute_error 0.236241 mean_absolute_error 0.28237 mean_absolute_error 0.333344 mean_absolute_error 0.334637 mean_absolute_error 0.285746 mean_absolute_error 0.361326 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 0.6875 [0.571429,0.428571,1] precision 0.615625 [0.5,0.75,0.6] precision 0.547619 [0.666667,0.285714,0.666667] precision 0.424107 [0.5,0,0.714286] precision 0.5 [0.4,0.6,0.5] precision 0.71875 [0.6,0.5,1] precision 0.695833 [0.6,0.666667,0.8] precision 0.75 [0.8,0.8,0.666667] precision 0.758929 [1,0.571429,0.714286] precision 0.804688 [0.75,0.625,1] precision 0.833333 [0.833333,0.666667,1] precision 0.777143 [1,0.571429,0.8] precision 0.688889 [0.333333,1,0.666667] precision 0.697143 [0.4,0.571429,1] precision 0.666667 [0.75,0.6,0.666667] precision 0.190476 [0,0.428571,0.142857] precision 0.657143 [0.5,0.571429,0.833333] precision 0.428571 [0.25,0.285714,0.75] precision 0.45 [0.5,0.25,0.6] precision 0.733333 [0.5,0.6,1] precision 0.672222 [0.6,0.666667,0.75] precision 0.666667 [0.666667,0.666667,0.666667] precision 0.72381 [1,0.571429,0.6] precision 0.821429 [0.714286,0.75,1] precision 0.533333 [0.5,0.6,0.5] precision 0.733333 [0.8,0.6,0.8] precision 0.388889 [0.5,0.333333,0.333333] precision 0.533333 [0.6,0.5,0.5] precision 0.444444 [0.5,0.333333,0.5] precision 0.690476 [1,0.5,0.571429] precision 0.626984 [0.666667,0.714286,0.5] precision 0.877778 [0.833333,1,0.8] precision 0.738889 [0.75,0.8,0.666667] precision 0.366667 [0.5,0,0.6] precision 0.565079 [0.6,0.666667,0.428571] precision 0.466667 [0.4,0.6,0.4] precision 0.347222 [0,0.375,0.666667] precision 0.642857 [0.428571,0.75,0.75] precision 0.738889 [0.75,0.666667,0.8] precision 0.611111 [0.666667,0.666667,0.5] precision 0.722222 [0.5,1,0.666667] precision 0.690476 [1,0.5,0.571429] precision 0.763889 [0.625,0.666667,1] precision 0.5 [0.666667,0.333333,0.5] precision 0.51746 [0.6,0.285714,0.666667] precision 0.791667 [0.625,0.75,1] precision 0.47619 [0.428571,0.5,0.5] precision 0.738095 [0.75,0.75,0.714286] precision 0.546032 [0.666667,0.4,0.571429] precision 0.501587 [0.571429,0.333333,0.6] precision 0.738889 [0.666667,0.75,0.8] precision 0.454545 [0.363636,0,1] precision 0.616667 [0.6,0.75,0.5] precision 0.7 [0.5,0.6,1] precision 0.714286 [0.571429,1,0.571429] precision 0.394444 [0.333333,0.25,0.6] precision 0.722222 [0.666667,0.666667,0.833333] precision 0.794444 [0.833333,0.75,0.8] precision 0.466667 [0.4,0.5,0.5] precision 0.777778 [0.666667,1,0.666667] precision 0.444444 [0.333333,0.5,0.5] precision 0.738889 [0.666667,0.75,0.8] precision 0.558333 [0.8,0.5,0.375] precision 0.466667 [0.4,0.4,0.6] precision 0.655556 [0.5,0.666667,0.8] precision 0.821429 [0.75,0.714286,1] precision 0.794444 [0.833333,0.75,0.8] precision 0.777778 [0.666667,0.666667,1] precision 0.698413 [0.428571,0.666667,1] precision 0.339683 [0.333333,0.285714,0.4] precision 0.607143 [0.571429,0.5,0.75] precision 0.344444 [0.333333,0.2,0.5] precision 0.821429 [0.75,1,0.714286] precision 0.738095 [1,0.714286,0.5] precision 0.527778 [0.333333,0.5,0.75] precision 0.808333 [0.8,1,0.625] precision 0.808333 [0.8,0.625,1] precision 0.605556 [0.4,0.666667,0.75] precision 0.838095 [1,0.714286,0.8] precision 0.62963 [0.666667,0.555556,0.666667] precision 0.611111 [0.666667,0.5,0.666667] precision 0.738889 [0.8,0.666667,0.75] precision 0.605556 [0.4,0.666667,0.75] precision 0.944444 [0.833333,1,1] precision 0.888889 [0.833333,0.833333,1] precision 0.888889 [0.833333,1,0.833333] precision 0.5 [0.666667,0.5,0.333333] precision 0.822222 [0.666667,1,0.8] precision 0.766667 [0.5,1,0.8] precision 0.533333 [0.5,0.5,0.6] precision 0.832381 [0.8,1,0.714286] precision 0.387302 [0.428571,0.333333,0.4] precision 0.904762 [1,0.714286,1] precision 0.533333 [0.6,0.5,0.5] precision 0.833333 [0.666667,1,0.833333] precision 0.62 [0.5,0.5,0.8] precision 0.7 [0.5,1,0.6] precision 0.733333 [1,0.5,0.75] precision 0.735873 [0.666667,0.714286,0.8] precision 0.453968 [0.428571,0.333333,0.6] predictive_accuracy 0.5625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.6875 predictive_accuracy 0.75 predictive_accuracy 0.6875 predictive_accuracy 0.75 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.266667 predictive_accuracy 0.666667 predictive_accuracy 0.4 predictive_accuracy 0.466667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.4 predictive_accuracy 0.533333 predictive_accuracy 0.466667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.466667 predictive_accuracy 0.466667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.466667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.333333 predictive_accuracy 0.6 predictive_accuracy 0.333333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.466667 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.866667 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 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 0.5625 [0.8,0.6,0.333333] recall 0.625 [0.2,0.6,1] recall 0.5 [0.4,0.4,0.666667] recall 0.5 [0.6,0,0.833333] recall 0.5 [0.4,0.6,0.5] recall 0.625 [0.6,0.8,0.5] recall 0.6875 [0.6,0.8,0.666667] recall 0.75 [0.8,0.8,0.666667] recall 0.6875 [0.4,0.8,0.833333] recall 0.75 [0.6,1,0.666667] recall 0.8 [1,0.8,0.6] recall 0.733333 [0.75,0.8,0.666667] recall 0.533333 [0.75,0.6,0.333333] recall 0.6 [0.5,0.8,0.5] recall 0.666667 [0.75,0.6,0.666667] recall 0.266667 [0,0.6,0.2] recall 0.666667 [0.25,0.8,0.833333] recall 0.4 [0.2,0.4,0.6] recall 0.466667 [0.6,0.2,0.6] recall 0.666667 [0.75,0.6,0.666667] recall 0.666667 [0.6,0.8,0.6] recall 0.666667 [0.8,0.8,0.4] recall 0.666667 [0.6,0.8,0.6] recall 0.8 [1,0.6,0.8] recall 0.533333 [0.4,0.6,0.6] recall 0.733333 [0.8,0.6,0.8] recall 0.4 [0.6,0.4,0.2] recall 0.533333 [0.6,0.2,0.8] recall 0.466667 [0.8,0.2,0.4] recall 0.666667 [0.8,0.4,0.8] recall 0.666667 [0.8,1,0.2] recall 0.866667 [1,0.8,0.8] recall 0.733333 [0.6,0.8,0.8] recall 0.466667 [0.8,0,0.6] recall 0.533333 [0.6,0.4,0.6] recall 0.466667 [0.4,0.6,0.4] recall 0.466667 [0,0.6,0.8] recall 0.6 [0.6,0.6,0.6] recall 0.733333 [0.6,0.8,0.8] recall 0.6 [0.8,0.4,0.6] recall 0.666667 [0.6,0.6,0.8] recall 0.6 [0.4,0.6,0.8] recall 0.733333 [1,0.4,0.8] recall 0.533333 [0.8,0.2,0.6] recall 0.466667 [0.6,0.4,0.4] recall 0.733333 [1,0.6,0.6] recall 0.466667 [0.6,0.4,0.4] recall 0.733333 [0.6,0.6,1] recall 0.533333 [0.4,0.4,0.8] recall 0.533333 [0.8,0.2,0.6] recall 0.733333 [0.8,0.6,0.8] recall 0.4 [0.8,0,0.4] recall 0.6 [0.6,0.6,0.6] recall 0.6 [0.8,0.6,0.4] recall 0.6 [0.8,0.2,0.8] recall 0.4 [0.4,0.2,0.6] recall 0.733333 [0.8,0.4,1] recall 0.8 [1,0.6,0.8] recall 0.466667 [0.4,0.4,0.6] recall 0.733333 [0.8,0.6,0.8] recall 0.466667 [0.2,0.4,0.8] recall 0.733333 [0.8,0.6,0.8] recall 0.533333 [0.8,0.2,0.6] recall 0.466667 [0.4,0.4,0.6] recall 0.666667 [0.4,0.8,0.8] recall 0.8 [0.6,1,0.8] recall 0.8 [1,0.6,0.8] recall 0.733333 [0.8,0.8,0.6] recall 0.6 [0.6,0.8,0.4] recall 0.333333 [0.2,0.4,0.4] recall 0.6 [0.8,0.4,0.6] recall 0.333333 [0.4,0.2,0.4] recall 0.8 [0.6,0.8,1] recall 0.666667 [0.4,1,0.6] recall 0.533333 [0.2,0.8,0.6] recall 0.733333 [0.8,0.4,1] recall 0.733333 [0.8,1,0.4] recall 0.6 [0.4,0.8,0.6] recall 0.8 [0.6,1,0.8] recall 0.6 [0.4,1,0.4] recall 0.6 [0.4,0.6,0.8] recall 0.733333 [0.8,0.8,0.6] recall 0.6 [0.4,0.8,0.6] recall 0.933333 [1,1,0.8] recall 0.866667 [1,1,0.6] recall 0.866667 [1,0.6,1] recall 0.466667 [0.4,0.6,0.4] recall 0.8 [0.8,0.8,0.8] recall 0.666667 [0.8,0.4,0.8] recall 0.533333 [0.6,0.4,0.6] recall 0.8 [1,0.6,0.833333] recall 0.4 [0.6,0.2,0.4] recall 0.866667 [0.8,1,0.8] recall 0.533333 [0.6,0.6,0.4] recall 0.8 [0.8,0.6,1] recall 0.6 [0.5,0.6,0.666667] recall 0.6 [0.8,0.4,0.6] recall 0.666667 [0.75,0.8,0.5] recall 0.733333 [0.5,1,0.666667] recall 0.466667 [0.6,0.2,0.6] relative_absolute_error 0.8341 relative_absolute_error 0.654358 relative_absolute_error 0.791796 relative_absolute_error 0.738593 relative_absolute_error 0.779445 relative_absolute_error 0.692325 relative_absolute_error 0.725785 relative_absolute_error 0.754638 relative_absolute_error 0.623358 relative_absolute_error 0.631485 relative_absolute_error 0.580148 relative_absolute_error 0.59763 relative_absolute_error 0.80537 relative_absolute_error 0.736263 relative_absolute_error 0.689791 relative_absolute_error 0.898891 relative_absolute_error 0.608684 relative_absolute_error 0.884626 relative_absolute_error 0.787822 relative_absolute_error 0.730394 relative_absolute_error 0.689049 relative_absolute_error 0.737286 relative_absolute_error 0.78045 relative_absolute_error 0.663425 relative_absolute_error 0.871723 relative_absolute_error 0.693601 relative_absolute_error 0.903139 relative_absolute_error 0.765005 relative_absolute_error 0.794747 relative_absolute_error 0.63956 relative_absolute_error 0.725097 relative_absolute_error 0.540077 relative_absolute_error 0.574562 relative_absolute_error 0.779104 relative_absolute_error 0.707761 relative_absolute_error 0.840957 relative_absolute_error 0.864011 relative_absolute_error 0.684517 relative_absolute_error 0.650523 relative_absolute_error 0.772722 relative_absolute_error 0.676665 relative_absolute_error 0.745898 relative_absolute_error 0.657078 relative_absolute_error 0.758779 relative_absolute_error 0.792352 relative_absolute_error 0.636647 relative_absolute_error 0.714653 relative_absolute_error 0.579598 relative_absolute_error 0.72552 relative_absolute_error 0.816886 relative_absolute_error 0.688513 relative_absolute_error 0.803013 relative_absolute_error 0.722022 relative_absolute_error 0.71489 relative_absolute_error 0.71133 relative_absolute_error 0.912815 relative_absolute_error 0.657103 relative_absolute_error 0.618303 relative_absolute_error 0.735082 relative_absolute_error 0.557003 relative_absolute_error 0.839898 relative_absolute_error 0.655008 relative_absolute_error 0.749541 relative_absolute_error 0.860252 relative_absolute_error 0.645833 relative_absolute_error 0.603457 relative_absolute_error 0.666436 relative_absolute_error 0.669274 relative_absolute_error 0.695127 relative_absolute_error 0.978927 relative_absolute_error 0.753066 relative_absolute_error 0.860004 relative_absolute_error 0.536791 relative_absolute_error 0.759973 relative_absolute_error 0.690987 relative_absolute_error 0.722799 relative_absolute_error 0.625863 relative_absolute_error 0.729266 relative_absolute_error 0.668606 relative_absolute_error 0.711329 relative_absolute_error 0.739132 relative_absolute_error 0.748802 relative_absolute_error 0.770619 relative_absolute_error 0.539866 relative_absolute_error 0.592925 relative_absolute_error 0.446678 relative_absolute_error 0.745625 relative_absolute_error 0.613815 relative_absolute_error 0.694065 relative_absolute_error 0.789936 relative_absolute_error 0.587414 relative_absolute_error 0.773083 relative_absolute_error 0.577214 relative_absolute_error 0.763197 relative_absolute_error 0.531543 relative_absolute_error 0.636573 relative_absolute_error 0.750023 relative_absolute_error 0.754402 relative_absolute_error 0.644183 relative_absolute_error 0.812983 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 0.45837 root_mean_squared_error 0.383778 root_mean_squared_error 0.438091 root_mean_squared_error 0.413085 root_mean_squared_error 0.428 root_mean_squared_error 0.390349 root_mean_squared_error 0.40606 root_mean_squared_error 0.411339 root_mean_squared_error 0.354499 root_mean_squared_error 0.366105 root_mean_squared_error 0.330102 root_mean_squared_error 0.367153 root_mean_squared_error 0.470197 root_mean_squared_error 0.448234 root_mean_squared_error 0.381767 root_mean_squared_error 0.476553 root_mean_squared_error 0.364214 root_mean_squared_error 0.462762 root_mean_squared_error 0.441496 root_mean_squared_error 0.428249 root_mean_squared_error 0.380843 root_mean_squared_error 0.389036 root_mean_squared_error 0.425027 root_mean_squared_error 0.352201 root_mean_squared_error 0.4558 root_mean_squared_error 0.375023 root_mean_squared_error 0.478536 root_mean_squared_error 0.432486 root_mean_squared_error 0.431431 root_mean_squared_error 0.353225 root_mean_squared_error 0.400042 root_mean_squared_error 0.297672 root_mean_squared_error 0.331506 root_mean_squared_error 0.440583 root_mean_squared_error 0.396366 root_mean_squared_error 0.471327 root_mean_squared_error 0.492586 root_mean_squared_error 0.38305 root_mean_squared_error 0.37376 root_mean_squared_error 0.415333 root_mean_squared_error 0.388979 root_mean_squared_error 0.430108 root_mean_squared_error 0.356313 root_mean_squared_error 0.425326 root_mean_squared_error 0.441821 root_mean_squared_error 0.368795 root_mean_squared_error 0.410185 root_mean_squared_error 0.338121 root_mean_squared_error 0.413961 root_mean_squared_error 0.444705 root_mean_squared_error 0.385663 root_mean_squared_error 0.451207 root_mean_squared_error 0.413328 root_mean_squared_error 0.399948 root_mean_squared_error 0.396012 root_mean_squared_error 0.496531 root_mean_squared_error 0.366916 root_mean_squared_error 0.35321 root_mean_squared_error 0.412761 root_mean_squared_error 0.344269 root_mean_squared_error 0.452366 root_mean_squared_error 0.359331 root_mean_squared_error 0.427575 root_mean_squared_error 0.473058 root_mean_squared_error 0.360979 root_mean_squared_error 0.324128 root_mean_squared_error 0.368267 root_mean_squared_error 0.393219 root_mean_squared_error 0.396586 root_mean_squared_error 0.53286 root_mean_squared_error 0.423015 root_mean_squared_error 0.473814 root_mean_squared_error 0.318963 root_mean_squared_error 0.417676 root_mean_squared_error 0.410503 root_mean_squared_error 0.390606 root_mean_squared_error 0.335402 root_mean_squared_error 0.426763 root_mean_squared_error 0.36492 root_mean_squared_error 0.415577 root_mean_squared_error 0.427981 root_mean_squared_error 0.394684 root_mean_squared_error 0.451223 root_mean_squared_error 0.295799 root_mean_squared_error 0.322346 root_mean_squared_error 0.251119 root_mean_squared_error 0.425088 root_mean_squared_error 0.330272 root_mean_squared_error 0.404426 root_mean_squared_error 0.406308 root_mean_squared_error 0.339583 root_mean_squared_error 0.432268 root_mean_squared_error 0.323126 root_mean_squared_error 0.401516 root_mean_squared_error 0.305603 root_mean_squared_error 0.391812 root_mean_squared_error 0.415434 root_mean_squared_error 0.423317 root_mean_squared_error 0.378507 root_mean_squared_error 0.43754 root_relative_squared_error 0.973194 root_relative_squared_error 0.814822 root_relative_squared_error 0.930139 root_relative_squared_error 0.877047 root_relative_squared_error 0.908713 root_relative_squared_error 0.828774 root_relative_squared_error 0.86213 root_relative_squared_error 0.87334 root_relative_squared_error 0.752658 root_relative_squared_error 0.7773 root_relative_squared_error 0.700149 root_relative_squared_error 0.780255 root_relative_squared_error 0.99924 root_relative_squared_error 0.952565 root_relative_squared_error 0.811312 root_relative_squared_error 1.010772 root_relative_squared_error 0.774008 root_relative_squared_error 0.981521 root_relative_squared_error 0.936415 root_relative_squared_error 0.910092 root_relative_squared_error 0.80777 root_relative_squared_error 0.825148 root_relative_squared_error 0.901485 root_relative_squared_error 0.747021 root_relative_squared_error 0.966755 root_relative_squared_error 0.795426 root_relative_squared_error 1.014977 root_relative_squared_error 0.917306 root_relative_squared_error 0.915068 root_relative_squared_error 0.749193 root_relative_squared_error 0.848491 root_relative_squared_error 0.631364 root_relative_squared_error 0.703126 root_relative_squared_error 0.93448 root_relative_squared_error 0.840696 root_relative_squared_error 0.999688 root_relative_squared_error 1.044779 root_relative_squared_error 0.812451 root_relative_squared_error 0.792747 root_relative_squared_error 0.880925 root_relative_squared_error 0.825026 root_relative_squared_error 0.912262 root_relative_squared_error 0.755743 root_relative_squared_error 0.902119 root_relative_squared_error 0.937105 root_relative_squared_error 0.782216 root_relative_squared_error 0.870004 root_relative_squared_error 0.717158 root_relative_squared_error 0.878015 root_relative_squared_error 0.943222 root_relative_squared_error 0.817994 root_relative_squared_error 0.957013 root_relative_squared_error 0.876671 root_relative_squared_error 0.848292 root_relative_squared_error 0.839944 root_relative_squared_error 1.053146 root_relative_squared_error 0.778232 root_relative_squared_error 0.749161 root_relative_squared_error 0.875469 root_relative_squared_error 0.730196 root_relative_squared_error 0.959471 root_relative_squared_error 0.762144 root_relative_squared_error 0.906889 root_relative_squared_error 1.00336 root_relative_squared_error 0.765639 root_relative_squared_error 0.687478 root_relative_squared_error 0.781097 root_relative_squared_error 0.83402 root_relative_squared_error 0.841161 root_relative_squared_error 1.1302 root_relative_squared_error 0.897217 root_relative_squared_error 1.004963 root_relative_squared_error 0.676523 root_relative_squared_error 0.885894 root_relative_squared_error 0.870679 root_relative_squared_error 0.828479 root_relative_squared_error 0.71139 root_relative_squared_error 0.905167 root_relative_squared_error 0.773997 root_relative_squared_error 0.881441 root_relative_squared_error 0.90775 root_relative_squared_error 0.837127 root_relative_squared_error 0.957048 root_relative_squared_error 0.627393 root_relative_squared_error 0.683699 root_relative_squared_error 0.532626 root_relative_squared_error 0.901615 root_relative_squared_error 0.700508 root_relative_squared_error 0.85779 root_relative_squared_error 0.861782 root_relative_squared_error 0.721664 root_relative_squared_error 0.916845 root_relative_squared_error 0.685353 root_relative_squared_error 0.851619 root_relative_squared_error 0.648187 root_relative_squared_error 0.83266 root_relative_squared_error 0.881138 root_relative_squared_error 0.899613 root_relative_squared_error 0.804383 root_relative_squared_error 0.928025 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 460 usercpu_time_millis 500 usercpu_time_millis 370 usercpu_time_millis 350 usercpu_time_millis 340 usercpu_time_millis 380 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 360 usercpu_time_millis 380 usercpu_time_millis 560 usercpu_time_millis 480 usercpu_time_millis 410 usercpu_time_millis 340 usercpu_time_millis 330 usercpu_time_millis 310 usercpu_time_millis 350 usercpu_time_millis 390 usercpu_time_millis 390 usercpu_time_millis 340 usercpu_time_millis 410 usercpu_time_millis 420 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 340 usercpu_time_millis 370 usercpu_time_millis 330 usercpu_time_millis 390 usercpu_time_millis 380 usercpu_time_millis 350 usercpu_time_millis 420 usercpu_time_millis 610 usercpu_time_millis 430 usercpu_time_millis 340 usercpu_time_millis 340 usercpu_time_millis 340 usercpu_time_millis 350 usercpu_time_millis 390 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 380 usercpu_time_millis 440 usercpu_time_millis 380 usercpu_time_millis 380 usercpu_time_millis 370 usercpu_time_millis 360 usercpu_time_millis 370 usercpu_time_millis 350 usercpu_time_millis 370 usercpu_time_millis 370 usercpu_time_millis 430 usercpu_time_millis 460 usercpu_time_millis 380 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 340 usercpu_time_millis 370 usercpu_time_millis 380 usercpu_time_millis 400 usercpu_time_millis 390 usercpu_time_millis 520 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 380 usercpu_time_millis 360 usercpu_time_millis 390 usercpu_time_millis 370 usercpu_time_millis 390 usercpu_time_millis 350 usercpu_time_millis 410 usercpu_time_millis 340 usercpu_time_millis 380 usercpu_time_millis 360 usercpu_time_millis 360 usercpu_time_millis 360 usercpu_time_millis 370 usercpu_time_millis 370 usercpu_time_millis 370 usercpu_time_millis 350 usercpu_time_millis 680 usercpu_time_millis 340 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 370 usercpu_time_millis 350 usercpu_time_millis 390 usercpu_time_millis 370 usercpu_time_millis 510 usercpu_time_millis 390 usercpu_time_millis 370 usercpu_time_millis 360 usercpu_time_millis 400 usercpu_time_millis 370 usercpu_time_millis 360 usercpu_time_millis 380 usercpu_time_millis 360 usercpu_time_millis 360 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 460 usercpu_time_millis_training 490 usercpu_time_millis_training 360 usercpu_time_millis_training 340 usercpu_time_millis_training 330 usercpu_time_millis_training 370 usercpu_time_millis_training 340 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 370 usercpu_time_millis_training 550 usercpu_time_millis_training 470 usercpu_time_millis_training 400 usercpu_time_millis_training 330 usercpu_time_millis_training 320 usercpu_time_millis_training 310 usercpu_time_millis_training 340 usercpu_time_millis_training 370 usercpu_time_millis_training 380 usercpu_time_millis_training 330 usercpu_time_millis_training 410 usercpu_time_millis_training 410 usercpu_time_millis_training 350 usercpu_time_millis_training 340 usercpu_time_millis_training 330 usercpu_time_millis_training 360 usercpu_time_millis_training 320 usercpu_time_millis_training 380 usercpu_time_millis_training 370 usercpu_time_millis_training 350 usercpu_time_millis_training 410 usercpu_time_millis_training 590 usercpu_time_millis_training 420 usercpu_time_millis_training 340 usercpu_time_millis_training 340 usercpu_time_millis_training 340 usercpu_time_millis_training 340 usercpu_time_millis_training 380 usercpu_time_millis_training 350 usercpu_time_millis_training 340 usercpu_time_millis_training 370 usercpu_time_millis_training 430 usercpu_time_millis_training 380 usercpu_time_millis_training 370 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 370 usercpu_time_millis_training 360 usercpu_time_millis_training 430 usercpu_time_millis_training 460 usercpu_time_millis_training 370 usercpu_time_millis_training 340 usercpu_time_millis_training 350 usercpu_time_millis_training 330 usercpu_time_millis_training 360 usercpu_time_millis_training 370 usercpu_time_millis_training 390 usercpu_time_millis_training 380 usercpu_time_millis_training 520 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 360 usercpu_time_millis_training 380 usercpu_time_millis_training 350 usercpu_time_millis_training 380 usercpu_time_millis_training 360 usercpu_time_millis_training 380 usercpu_time_millis_training 340 usercpu_time_millis_training 410 usercpu_time_millis_training 340 usercpu_time_millis_training 370 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 360 usercpu_time_millis_training 360 usercpu_time_millis_training 360 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 660 usercpu_time_millis_training 330 usercpu_time_millis_training 340 usercpu_time_millis_training 340 usercpu_time_millis_training 350 usercpu_time_millis_training 340 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 380 usercpu_time_millis_training 360 usercpu_time_millis_training 500 usercpu_time_millis_training 380 usercpu_time_millis_training 360 usercpu_time_millis_training 360 usercpu_time_millis_training 390 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 370 usercpu_time_millis_training 350 usercpu_time_millis_training 350