431000 2 Joaquin Vanschoren 4654 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2062 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 10 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 1115 teachingAssistant https://www.openml.org/data/download/53998/teachingAssistant.arff -1 1505894 description https://api.openml.org/data/download/1505894/weka_generated_run7808268249348209256.xml -1 1505897 model_readable https://api.openml.org/data/download/1505897/WekaModel_weka.classifiers.meta.RotationForest4961554800912345634.model -1 1505896 model_serialized https://api.openml.org/data/download/1505896/WekaSerialized_weka.classifiers.meta.RotationForest4859640169781513667.model -1 1505895 predictions https://api.openml.org/data/download/1505895/weka_generated_predictions4373712057318598083.arff area_under_roc_curve 0.781801 [0.799575,0.749701,0.795917] average_cost 0 f_measure 0.601888 [0.599401,0.562437,0.642166] kappa 0.402926 kb_relative_information_score 532.274972 mean_absolute_error 0.321662 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 0.602062 [0.587084,0.571134,0.645914] predictive_accuracy 0.601987 prior_entropy 1.584538 recall 0.601987 [0.612245,0.554,0.638462] relative_absolute_error 0.723957 root_mean_prior_squared_error 0.471332 root_mean_squared_error 0.41592 root_relative_squared_error 0.882434 scimark_benchmark 932.474384 [557.2654022646841, 1004.1454393001591, 435.06558031358963, 906.4453790826606, 1759.4501199261804] total_cost 0 usercpu_time_millis 100 usercpu_time_millis_testing 10 usercpu_time_millis_training 90 area_under_roc_curve 0.666477 [0.581818,0.690909,0.716667] area_under_roc_curve 0.919318 [0.854545,0.927273,0.966667] area_under_roc_curve 0.738068 [0.8,0.581818,0.816667] area_under_roc_curve 0.672727 [0.690909,0.381818,0.9] area_under_roc_curve 0.65625 [0.709091,0.690909,0.583333] area_under_roc_curve 0.857386 [0.872727,0.890909,0.816667] area_under_roc_curve 0.813068 [0.854545,0.727273,0.85] area_under_roc_curve 0.697159 [0.818182,0.672727,0.616667] area_under_roc_curve 0.917614 [0.909091,0.927273,0.916667] area_under_roc_curve 0.839773 [0.890909,0.736364,0.883333] area_under_roc_curve 0.833333 [1,0.82,0.68] area_under_roc_curve 0.875286 [0.954545,0.84,0.851852] area_under_roc_curve 0.855219 [0.818182,1,0.759259] area_under_roc_curve 0.697104 [0.636364,0.76,0.685185] area_under_roc_curve 0.952458 [0.977273,0.92,0.962963] area_under_roc_curve 0.5 [0.46,0.74,0.3] area_under_roc_curve 0.892054 [0.909091,0.86,0.907407] area_under_roc_curve 0.66 [0.64,0.52,0.82] area_under_roc_curve 0.693333 [0.78,0.54,0.76] area_under_roc_curve 0.715421 [0.727273,0.62,0.787037] area_under_roc_curve 0.893333 [0.86,0.92,0.9] area_under_roc_curve 0.693333 [0.76,0.66,0.66] area_under_roc_curve 0.726667 [0.88,0.66,0.64] area_under_roc_curve 0.88 [0.86,0.98,0.8] area_under_roc_curve 0.66 [0.67,0.58,0.73] area_under_roc_curve 0.866667 [0.84,0.9,0.86] area_under_roc_curve 0.56 [0.52,0.68,0.48] area_under_roc_curve 0.8 [0.78,0.76,0.86] area_under_roc_curve 0.706667 [0.84,0.56,0.72] area_under_roc_curve 0.82 [0.86,0.74,0.86] area_under_roc_curve 0.86 [0.8,0.98,0.8] area_under_roc_curve 0.92 [0.92,0.96,0.88] area_under_roc_curve 0.86 [0.8,0.86,0.92] area_under_roc_curve 0.753333 [0.76,0.66,0.84] area_under_roc_curve 0.72 [0.82,0.66,0.68] area_under_roc_curve 0.62 [0.72,0.54,0.6] area_under_roc_curve 0.573333 [0.22,0.6,0.9] area_under_roc_curve 0.82 [0.8,0.88,0.78] area_under_roc_curve 0.76 [0.84,0.6,0.84] area_under_roc_curve 0.786667 [0.94,0.66,0.76] area_under_roc_curve 0.84 [0.82,0.82,0.88] area_under_roc_curve 0.833333 [0.88,0.78,0.84] area_under_roc_curve 0.826667 [0.8,0.8,0.88] area_under_roc_curve 0.76 [0.76,0.6,0.92] area_under_roc_curve 0.746667 [0.8,0.64,0.8] area_under_roc_curve 0.893333 [0.92,0.78,0.98] area_under_roc_curve 0.773333 [0.88,0.7,0.74] area_under_roc_curve 0.906667 [0.9,0.82,1] area_under_roc_curve 0.82 [0.84,0.86,0.76] area_under_roc_curve 0.753333 [0.84,0.64,0.78] area_under_roc_curve 0.746667 [0.78,0.72,0.74] area_under_roc_curve 0.613333 [0.67,0.58,0.59] area_under_roc_curve 0.746667 [0.74,0.88,0.62] area_under_roc_curve 0.756667 [0.74,0.8,0.73] area_under_roc_curve 0.8 [0.88,0.68,0.84] area_under_roc_curve 0.48 [0.42,0.46,0.56] area_under_roc_curve 0.933333 [0.88,0.92,1] area_under_roc_curve 0.88 [0.9,0.88,0.86] area_under_roc_curve 0.76 [0.68,0.82,0.78] area_under_roc_curve 0.806667 [0.76,0.84,0.82] area_under_roc_curve 0.62 [0.62,0.64,0.6] area_under_roc_curve 0.826667 [0.86,0.88,0.74] area_under_roc_curve 0.706667 [0.66,0.66,0.8] area_under_roc_curve 0.593333 [0.7,0.42,0.66] area_under_roc_curve 0.813333 [0.76,0.82,0.86] area_under_roc_curve 0.98 [0.94,1,1] area_under_roc_curve 0.806667 [0.94,0.68,0.8] area_under_roc_curve 0.713333 [0.72,0.78,0.64] area_under_roc_curve 0.693333 [0.66,0.64,0.78] area_under_roc_curve 0.52 [0.64,0.44,0.48] area_under_roc_curve 0.7 [0.84,0.58,0.68] area_under_roc_curve 0.66 [0.6,0.57,0.81] area_under_roc_curve 0.946667 [0.9,0.94,1] area_under_roc_curve 0.806667 [0.68,0.94,0.8] area_under_roc_curve 0.813333 [0.7,0.8,0.94] area_under_roc_curve 0.786667 [0.74,0.82,0.8] area_under_roc_curve 0.853333 [0.9,0.86,0.8] area_under_roc_curve 0.683333 [0.57,0.74,0.74] area_under_roc_curve 0.873333 [0.94,0.84,0.84] area_under_roc_curve 0.78 [0.58,0.88,0.88] area_under_roc_curve 0.846667 [0.94,0.68,0.92] area_under_roc_curve 0.853333 [0.84,0.84,0.88] area_under_roc_curve 0.726667 [0.68,0.66,0.84] area_under_roc_curve 0.946667 [1,0.96,0.88] area_under_roc_curve 0.913333 [0.96,0.94,0.84] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.773333 [0.9,0.76,0.66] area_under_roc_curve 0.906667 [0.98,0.86,0.88] area_under_roc_curve 0.746667 [0.74,0.7,0.8] area_under_roc_curve 0.786667 [0.88,0.72,0.76] area_under_roc_curve 0.945657 [0.954545,0.94,0.944444] area_under_roc_curve 0.72 [0.86,0.6,0.7] area_under_roc_curve 0.9 [0.96,0.86,0.88] area_under_roc_curve 0.753333 [0.74,0.7,0.82] area_under_roc_curve 0.933333 [0.98,0.84,0.98] area_under_roc_curve 0.826869 [0.909091,0.82,0.777778] area_under_roc_curve 0.76 [0.7,0.68,0.9] area_under_roc_curve 0.805051 [0.977273,0.7,0.777778] area_under_roc_curve 0.842694 [0.704545,0.92,0.87037] area_under_roc_curve 0.773333 [0.78,0.68,0.86] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.443182 [0.4,0.363636,0.545455] f_measure 0.746795 [0.666667,0.8,0.769231] f_measure 0.470779 [0.285714,0.363636,0.714286] f_measure 0.386364 [0.363636,0,0.727273] f_measure 0.553662 [0.444444,0.727273,0.5] f_measure 0.629808 [0.6,0.615385,0.666667] f_measure 0.557474 [0.545455,0.5,0.615385] f_measure 0.369318 [0.545455,0.2,0.363636] f_measure 0.816239 [0.888889,0.8,0.769231] f_measure 0.543561 [0.333333,0.533333,0.727273] f_measure 0.722222 [1,0.666667,0.5] f_measure 0.741703 [0.857143,0.666667,0.727273] f_measure 0.473553 [0.461538,0.571429,0.4] f_measure 0.521319 [0.285714,0.615385,0.6] f_measure 0.797258 [0.857143,0.833333,0.727273] f_measure 0.188889 [0,0.4,0.166667] f_measure 0.727894 [0.666667,0.727273,0.769231] f_measure 0.476768 [0.4,0.363636,0.666667] f_measure 0.500366 [0.6,0.285714,0.615385] f_measure 0.599057 [0.6,0.444444,0.727273] f_measure 0.666667 [0.666667,0.666667,0.666667] f_measure 0.507576 [0.727273,0.545455,0.25] f_measure 0.538961 [0.545455,0.5,0.571429] f_measure 0.740741 [0.666667,0.666667,0.888889] f_measure 0.444444 [0.5,0.333333,0.5] f_measure 0.731313 [0.727273,0.666667,0.8] f_measure 0.542735 [0.461538,0.666667,0.5] f_measure 0.592593 [0.444444,0.666667,0.666667] f_measure 0.366667 [0.6,0,0.5] f_measure 0.59798 [0.666667,0.4,0.727273] f_measure 0.507576 [0.545455,0.727273,0.25] f_measure 0.791919 [0.909091,0.8,0.666667] f_measure 0.603276 [0.444444,0.75,0.615385] f_measure 0.510684 [0.666667,0.25,0.615385] f_measure 0.529966 [0.6,0.444444,0.545455] f_measure 0.4633 [0.4,0.545455,0.444444] f_measure 0.486772 [0,0.571429,0.888889] f_measure 0.731313 [0.727273,0.8,0.666667] f_measure 0.6 [0.6,0.4,0.8] f_measure 0.6 [0.8,0.4,0.6] f_measure 0.590572 [0.444444,0.6,0.727273] f_measure 0.672222 [0.75,0.666667,0.6] f_measure 0.6 [0.5,0.5,0.8] f_measure 0.651515 [0.727273,0.5,0.727273] f_measure 0.437451 [0.615385,0.363636,0.333333] f_measure 0.713553 [0.769231,0.571429,0.8] f_measure 0.518519 [0.666667,0.444444,0.444444] f_measure 0.725253 [0.666667,0.6,0.909091] f_measure 0.530303 [0.545455,0.5,0.545455] f_measure 0.507576 [0.727273,0.25,0.545455] f_measure 0.731313 [0.727273,0.666667,0.8] f_measure 0.451587 [0.533333,0.25,0.571429] f_measure 0.60404 [0.6,0.666667,0.545455] f_measure 0.60404 [0.545455,0.6,0.666667] f_measure 0.499278 [0.545455,0.285714,0.666667] f_measure 0.333333 [0.333333,0.222222,0.444444] f_measure 0.791919 [0.666667,0.8,0.909091] f_measure 0.731313 [0.666667,0.727273,0.8] f_measure 0.46936 [0.363636,0.444444,0.6] f_measure 0.731313 [0.8,0.666667,0.727273] f_measure 0.440476 [0.25,0.5,0.571429] f_measure 0.731313 [0.8,0.666667,0.727273] f_measure 0.466667 [0.4,0.4,0.6] f_measure 0.466667 [0.4,0.4,0.6] f_measure 0.590909 [0.5,0.545455,0.727273] f_measure 0.861111 [0.75,1,0.833333] f_measure 0.651178 [0.909091,0.444444,0.6] f_measure 0.588889 [0.666667,0.5,0.6] f_measure 0.477656 [0.461538,0.4,0.571429] f_measure 0.259259 [0.222222,0.333333,0.222222] f_measure 0.592593 [0.666667,0.444444,0.666667] f_measure 0.275421 [0.2,0.181818,0.444444] f_measure 0.796296 [0.666667,0.888889,0.833333] f_measure 0.555556 [0.333333,0.833333,0.5] f_measure 0.56746 [0.285714,0.666667,0.75] f_measure 0.728632 [0.666667,0.75,0.769231] f_measure 0.662271 [0.615385,0.8,0.571429] f_measure 0.538961 [0.5,0.545455,0.571429] f_measure 0.672222 [0.75,0.6,0.666667] f_measure 0.648148 [0.444444,0.833333,0.666667] f_measure 0.58022 [0.571429,0.4,0.769231] f_measure 0.731313 [0.8,0.727273,0.666667] f_measure 0.4633 [0.4,0.444444,0.545455] f_measure 0.866667 [1,0.8,0.8] f_measure 0.856061 [0.909091,0.909091,0.75] f_measure 0.93266 [0.909091,0.888889,1] f_measure 0.422799 [0.571429,0.363636,0.333333] f_measure 0.731313 [0.666667,0.727273,0.8] f_measure 0.588889 [0.666667,0.5,0.6] f_measure 0.664646 [0.727273,0.6,0.666667] f_measure 0.652137 [0.666667,0.5,0.769231] f_measure 0.551648 [0.769231,0.285714,0.6] f_measure 0.722222 [0.833333,0.666667,0.666667] f_measure 0.4633 [0.444444,0.4,0.545455] f_measure 0.865993 [0.8,0.888889,0.909091] f_measure 0.8 [0.8,0.8,0.8] f_measure 0.443723 [0.5,0.285714,0.545455] f_measure 0.581481 [0.888889,0.5,0.444444] f_measure 0.721068 [0.571429,0.833333,0.727273] f_measure 0.529966 [0.545455,0.444444,0.6] kappa 0.157895 kappa 0.621302 kappa 0.238095 kappa 0.064327 kappa 0.341176 kappa 0.445087 kappa 0.337278 kappa 0.064327 kappa 0.715976 kappa 0.345029 kappa 0.6 kappa 0.594595 kappa 0.225806 kappa 0.295302 kappa 0.695946 kappa -0.2 kappa 0.586207 kappa 0.2 kappa 0.3 kappa 0.403974 kappa 0.5 kappa 0.3 kappa 0.3 kappa 0.6 kappa 0.2 kappa 0.6 kappa 0.3 kappa 0.4 kappa 0.1 kappa 0.4 kappa 0.3 kappa 0.7 kappa 0.4 kappa 0.3 kappa 0.3 kappa 0.2 kappa 0.3 kappa 0.6 kappa 0.4 kappa 0.4 kappa 0.4 kappa 0.5 kappa 0.4 kappa 0.5 kappa 0.2 kappa 0.6 kappa 0.3 kappa 0.6 kappa 0.3 kappa 0.3 kappa 0.6 kappa 0.2 kappa 0.4 kappa 0.4 kappa 0.3 kappa 0 kappa 0.7 kappa 0.6 kappa 0.2 kappa 0.6 kappa 0.2 kappa 0.6 kappa 0.2 kappa 0.2 kappa 0.4 kappa 0.8 kappa 0.5 kappa 0.4 kappa 0.2 kappa -0.1 kappa 0.4 kappa -0.1 kappa 0.7 kappa 0.4 kappa 0.4 kappa 0.6 kappa 0.5 kappa 0.3 kappa 0.5 kappa 0.5 kappa 0.4 kappa 0.6 kappa 0.2 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.1 kappa 0.6 kappa 0.4 kappa 0.5 kappa 0.493243 kappa 0.4 kappa 0.6 kappa 0.2 kappa 0.8 kappa 0.703947 kappa 0.2 kappa 0.407895 kappa 0.594595 kappa 0.3 kb_relative_information_score 3.399143 kb_relative_information_score 7.312188 kb_relative_information_score 4.919224 kb_relative_information_score 3.394785 kb_relative_information_score 3.812749 kb_relative_information_score 6.887604 kb_relative_information_score 4.909947 kb_relative_information_score 3.618045 kb_relative_information_score 8.040085 kb_relative_information_score 5.715439 kb_relative_information_score 6.760156 kb_relative_information_score 7.821735 kb_relative_information_score 5.156637 kb_relative_information_score 5.066551 kb_relative_information_score 8.587501 kb_relative_information_score 0.429951 kb_relative_information_score 6.882128 kb_relative_information_score 3.072159 kb_relative_information_score 4.054633 kb_relative_information_score 4.540334 kb_relative_information_score 6.36936 kb_relative_information_score 3.584802 kb_relative_information_score 4.389755 kb_relative_information_score 6.775586 kb_relative_information_score 3.444867 kb_relative_information_score 5.879111 kb_relative_information_score 2.676306 kb_relative_information_score 5.445002 kb_relative_information_score 3.676141 kb_relative_information_score 5.920774 kb_relative_information_score 5.756304 kb_relative_information_score 7.062834 kb_relative_information_score 6.836731 kb_relative_information_score 4.394395 kb_relative_information_score 4.502971 kb_relative_information_score 2.748322 kb_relative_information_score 3.667694 kb_relative_information_score 6.18074 kb_relative_information_score 4.979249 kb_relative_information_score 4.581849 kb_relative_information_score 6.458253 kb_relative_information_score 5.552305 kb_relative_information_score 5.511692 kb_relative_information_score 4.704582 kb_relative_information_score 4.714723 kb_relative_information_score 7.307724 kb_relative_information_score 5.143636 kb_relative_information_score 7.012101 kb_relative_information_score 5.403103 kb_relative_information_score 4.572492 kb_relative_information_score 5.464341 kb_relative_information_score 3.074288 kb_relative_information_score 5.257999 kb_relative_information_score 5.008213 kb_relative_information_score 5.24863 kb_relative_information_score 1.228792 kb_relative_information_score 6.703336 kb_relative_information_score 7.372499 kb_relative_information_score 4.66434 kb_relative_information_score 6.869238 kb_relative_information_score 2.563874 kb_relative_information_score 5.264786 kb_relative_information_score 4.222185 kb_relative_information_score 2.238719 kb_relative_information_score 5.974364 kb_relative_information_score 8.945671 kb_relative_information_score 6.01482 kb_relative_information_score 4.64558 kb_relative_information_score 4.412506 kb_relative_information_score 1.42599 kb_relative_information_score 5.010698 kb_relative_information_score 2.269569 kb_relative_information_score 8.044596 kb_relative_information_score 5.64738 kb_relative_information_score 5.99871 kb_relative_information_score 5.410196 kb_relative_information_score 5.493766 kb_relative_information_score 4.480113 kb_relative_information_score 6.332493 kb_relative_information_score 5.517113 kb_relative_information_score 5.341683 kb_relative_information_score 5.629652 kb_relative_information_score 4.253477 kb_relative_information_score 9.075762 kb_relative_information_score 7.785721 kb_relative_information_score 8.651796 kb_relative_information_score 4.461227 kb_relative_information_score 6.262442 kb_relative_information_score 5.646861 kb_relative_information_score 5.089598 kb_relative_information_score 7.407675 kb_relative_information_score 4.854399 kb_relative_information_score 6.137053 kb_relative_information_score 4.136387 kb_relative_information_score 9.337217 kb_relative_information_score 7.635198 kb_relative_information_score 4.5787 kb_relative_information_score 5.252118 kb_relative_information_score 6.463311 kb_relative_information_score 3.835489 mean_absolute_error 0.37818 mean_absolute_error 0.276859 mean_absolute_error 0.343143 mean_absolute_error 0.374255 mean_absolute_error 0.377915 mean_absolute_error 0.290675 mean_absolute_error 0.342073 mean_absolute_error 0.374493 mean_absolute_error 0.25855 mean_absolute_error 0.318966 mean_absolute_error 0.28862 mean_absolute_error 0.242396 mean_absolute_error 0.318131 mean_absolute_error 0.328968 mean_absolute_error 0.221334 mean_absolute_error 0.453111 mean_absolute_error 0.279306 mean_absolute_error 0.378797 mean_absolute_error 0.358022 mean_absolute_error 0.348258 mean_absolute_error 0.292303 mean_absolute_error 0.373555 mean_absolute_error 0.352524 mean_absolute_error 0.283529 mean_absolute_error 0.375889 mean_absolute_error 0.308352 mean_absolute_error 0.407616 mean_absolute_error 0.317964 mean_absolute_error 0.363008 mean_absolute_error 0.305533 mean_absolute_error 0.303489 mean_absolute_error 0.273678 mean_absolute_error 0.267378 mean_absolute_error 0.33485 mean_absolute_error 0.343983 mean_absolute_error 0.397496 mean_absolute_error 0.367211 mean_absolute_error 0.295629 mean_absolute_error 0.331507 mean_absolute_error 0.341297 mean_absolute_error 0.281579 mean_absolute_error 0.317178 mean_absolute_error 0.315562 mean_absolute_error 0.342661 mean_absolute_error 0.328892 mean_absolute_error 0.264412 mean_absolute_error 0.320336 mean_absolute_error 0.263877 mean_absolute_error 0.315412 mean_absolute_error 0.34272 mean_absolute_error 0.327841 mean_absolute_error 0.386848 mean_absolute_error 0.324484 mean_absolute_error 0.333153 mean_absolute_error 0.320766 mean_absolute_error 0.436701 mean_absolute_error 0.279666 mean_absolute_error 0.260535 mean_absolute_error 0.334641 mean_absolute_error 0.278699 mean_absolute_error 0.404632 mean_absolute_error 0.325998 mean_absolute_error 0.347719 mean_absolute_error 0.412636 mean_absolute_error 0.293426 mean_absolute_error 0.216417 mean_absolute_error 0.301769 mean_absolute_error 0.338867 mean_absolute_error 0.347609 mean_absolute_error 0.436726 mean_absolute_error 0.333391 mean_absolute_error 0.395124 mean_absolute_error 0.23725 mean_absolute_error 0.313266 mean_absolute_error 0.296751 mean_absolute_error 0.327824 mean_absolute_error 0.320525 mean_absolute_error 0.349604 mean_absolute_error 0.292799 mean_absolute_error 0.316117 mean_absolute_error 0.312518 mean_absolute_error 0.318168 mean_absolute_error 0.352535 mean_absolute_error 0.216362 mean_absolute_error 0.259472 mean_absolute_error 0.234866 mean_absolute_error 0.329315 mean_absolute_error 0.30569 mean_absolute_error 0.312927 mean_absolute_error 0.338049 mean_absolute_error 0.256061 mean_absolute_error 0.33501 mean_absolute_error 0.294064 mean_absolute_error 0.351853 mean_absolute_error 0.209448 mean_absolute_error 0.248076 mean_absolute_error 0.336237 mean_absolute_error 0.326113 mean_absolute_error 0.284567 mean_absolute_error 0.363691 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 0.454167 [0.4,0.333333,0.6] precision 0.752232 [0.75,0.8,0.714286] precision 0.494792 [0.5,0.333333,0.625] precision 0.404167 [0.333333,0,0.8] precision 0.552083 [0.5,0.666667,0.5] precision 0.71875 [0.6,0.5,1] precision 0.578869 [0.5,0.666667,0.571429] precision 0.36875 [0.5,0.2,0.4] precision 0.830357 [1,0.8,0.714286] precision 0.7375 [1,0.4,0.8] precision 0.746032 [1,0.571429,0.666667] precision 0.777143 [1,0.571429,0.8] precision 0.622222 [0.333333,1,0.5] precision 0.555556 [0.333333,0.5,0.75] precision 0.824762 [1,0.714286,0.8] precision 0.180952 [0,0.4,0.142857] precision 0.774603 [1,0.666667,0.714286] precision 0.494444 [0.4,0.333333,0.75] precision 0.533333 [0.6,0.5,0.5] precision 0.62 [0.5,0.5,0.8] precision 0.690476 [0.571429,0.75,0.75] precision 0.5 [0.666667,0.5,0.333333] precision 0.642857 [0.5,0.428571,1] precision 0.77381 [0.571429,0.75,1] precision 0.619048 [0.428571,1,0.428571] precision 0.738889 [0.666667,0.75,0.8] precision 0.597222 [0.375,0.75,0.666667] precision 0.607143 [0.5,0.75,0.571429] precision 0.342857 [0.6,0,0.428571] precision 0.605556 [0.75,0.4,0.666667] precision 0.5 [0.5,0.666667,0.333333] precision 0.794444 [0.833333,0.8,0.75] precision 0.666667 [0.5,1,0.5] precision 0.527778 [0.75,0.333333,0.5] precision 0.533333 [0.6,0.5,0.5] precision 0.466667 [0.4,0.5,0.5] precision 0.481481 [0,0.444444,1] precision 0.738889 [0.666667,0.8,0.75] precision 0.6 [0.6,0.4,0.8] precision 0.6 [0.8,0.4,0.6] precision 0.588889 [0.5,0.6,0.666667] precision 0.72381 [1,0.571429,0.6] precision 0.631746 [0.428571,0.666667,0.8] precision 0.666667 [0.666667,0.666667,0.666667] precision 0.611111 [0.5,0.333333,1] precision 0.808333 [0.625,1,0.8] precision 0.52381 [0.571429,0.5,0.5] precision 0.727778 [0.75,0.6,0.833333] precision 0.555556 [0.5,0.666667,0.5] precision 0.5 [0.666667,0.333333,0.5] precision 0.738889 [0.666667,0.75,0.8] precision 0.577778 [0.4,0.333333,1] precision 0.616667 [0.6,0.75,0.5] precision 0.616667 [0.5,0.6,0.75] precision 0.52381 [0.5,0.5,0.571429] precision 0.345238 [0.285714,0.25,0.5] precision 0.794444 [0.75,0.8,0.833333] precision 0.738889 [0.75,0.666667,0.8] precision 0.477778 [0.333333,0.5,0.6] precision 0.738889 [0.8,0.75,0.666667] precision 0.481481 [0.333333,0.666667,0.444444] precision 0.738889 [0.8,0.75,0.666667] precision 0.466667 [0.4,0.4,0.6] precision 0.466667 [0.4,0.4,0.6] precision 0.611111 [0.666667,0.5,0.666667] precision 0.904762 [1,1,0.714286] precision 0.644444 [0.833333,0.5,0.6] precision 0.612698 [0.571429,0.666667,0.6] precision 0.591667 [0.375,0.4,1] precision 0.261905 [0.25,0.285714,0.25] precision 0.607143 [0.571429,0.5,0.75] precision 0.288889 [0.2,0.166667,0.5] precision 0.821429 [0.75,1,0.714286] precision 0.714286 [1,0.714286,0.428571] precision 0.666667 [0.5,0.5,1] precision 0.791667 [0.75,1,0.625] precision 0.766667 [0.5,0.8,1] precision 0.642857 [0.428571,0.5,1] precision 0.72381 [1,0.6,0.571429] precision 0.654762 [0.5,0.714286,0.75] precision 0.675 [1,0.4,0.625] precision 0.738889 [0.8,0.666667,0.75] precision 0.466667 [0.4,0.5,0.5] precision 0.866667 [1,0.8,0.8] precision 0.888889 [0.833333,0.833333,1] precision 0.944444 [0.833333,1,1] precision 0.539683 [1,0.333333,0.285714] precision 0.738889 [0.75,0.666667,0.8] precision 0.612698 [0.571429,0.666667,0.6] precision 0.672222 [0.666667,0.6,0.75] precision 0.667937 [0.6,0.666667,0.714286] precision 0.575 [0.625,0.5,0.6] precision 0.738095 [0.714286,0.75,0.75] precision 0.466667 [0.5,0.4,0.5] precision 0.877778 [0.8,1,0.833333] precision 0.844444 [0.666667,0.8,1] precision 0.47619 [0.428571,0.5,0.5] precision 0.622857 [0.8,0.428571,0.666667] precision 0.735873 [0.666667,0.714286,0.8] precision 0.533333 [0.5,0.5,0.6] predictive_accuracy 0.4375 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.375 predictive_accuracy 0.5625 predictive_accuracy 0.625 predictive_accuracy 0.5625 predictive_accuracy 0.375 predictive_accuracy 0.8125 predictive_accuracy 0.5625 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.2 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.533333 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.533333 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.333333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.466667 predictive_accuracy 0.6 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.466667 predictive_accuracy 0.266667 predictive_accuracy 0.6 predictive_accuracy 0.266667 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.533333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.4 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.466667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.533333 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 [0.4,0.4,0.5] recall 0.75 [0.6,0.8,0.833333] recall 0.5 [0.2,0.4,0.833333] recall 0.375 [0.4,0,0.666667] recall 0.5625 [0.4,0.8,0.5] recall 0.625 [0.6,0.8,0.5] recall 0.5625 [0.6,0.4,0.666667] recall 0.375 [0.6,0.2,0.333333] recall 0.8125 [0.8,0.8,0.833333] recall 0.5625 [0.2,0.8,0.666667] recall 0.733333 [1,0.8,0.4] recall 0.733333 [0.75,0.8,0.666667] recall 0.466667 [0.75,0.4,0.333333] recall 0.533333 [0.25,0.8,0.5] recall 0.8 [0.75,1,0.666667] recall 0.2 [0,0.4,0.2] recall 0.733333 [0.5,0.8,0.833333] recall 0.466667 [0.4,0.4,0.6] recall 0.533333 [0.6,0.2,0.8] recall 0.6 [0.75,0.4,0.666667] recall 0.666667 [0.8,0.6,0.6] recall 0.533333 [0.8,0.6,0.2] recall 0.533333 [0.6,0.6,0.4] recall 0.733333 [0.8,0.6,0.8] recall 0.466667 [0.6,0.2,0.6] recall 0.733333 [0.8,0.6,0.8] recall 0.533333 [0.6,0.6,0.4] recall 0.6 [0.4,0.6,0.8] recall 0.4 [0.6,0,0.6] recall 0.6 [0.6,0.4,0.8] recall 0.533333 [0.6,0.8,0.2] recall 0.8 [1,0.8,0.6] recall 0.6 [0.4,0.6,0.8] recall 0.533333 [0.6,0.2,0.8] recall 0.533333 [0.6,0.4,0.6] recall 0.466667 [0.4,0.6,0.4] recall 0.533333 [0,0.8,0.8] recall 0.733333 [0.8,0.8,0.6] recall 0.6 [0.6,0.4,0.8] recall 0.6 [0.8,0.4,0.6] recall 0.6 [0.4,0.6,0.8] recall 0.666667 [0.6,0.8,0.6] recall 0.6 [0.6,0.4,0.8] recall 0.666667 [0.8,0.4,0.8] recall 0.466667 [0.8,0.4,0.2] recall 0.733333 [1,0.4,0.8] recall 0.533333 [0.8,0.4,0.4] recall 0.733333 [0.6,0.6,1] recall 0.533333 [0.6,0.4,0.6] recall 0.533333 [0.8,0.2,0.6] recall 0.733333 [0.8,0.6,0.8] recall 0.466667 [0.8,0.2,0.4] recall 0.6 [0.6,0.6,0.6] recall 0.6 [0.6,0.6,0.6] recall 0.533333 [0.6,0.2,0.8] recall 0.333333 [0.4,0.2,0.4] recall 0.8 [0.6,0.8,1] recall 0.733333 [0.6,0.8,0.8] 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 0.466667 [0.4,0.4,0.6] recall 0.466667 [0.4,0.4,0.6] recall 0.6 [0.4,0.6,0.8] recall 0.866667 [0.6,1,1] recall 0.666667 [1,0.4,0.6] recall 0.6 [0.8,0.4,0.6] recall 0.466667 [0.6,0.4,0.4] recall 0.266667 [0.2,0.4,0.2] recall 0.6 [0.8,0.4,0.6] recall 0.266667 [0.2,0.2,0.4] recall 0.8 [0.6,0.8,1] recall 0.6 [0.2,1,0.6] recall 0.6 [0.2,1,0.6] recall 0.733333 [0.6,0.6,1] recall 0.666667 [0.8,0.8,0.4] recall 0.533333 [0.6,0.6,0.4] recall 0.666667 [0.6,0.6,0.8] recall 0.666667 [0.4,1,0.6] recall 0.6 [0.4,0.4,1] recall 0.733333 [0.8,0.8,0.6] recall 0.466667 [0.4,0.4,0.6] recall 0.866667 [1,0.8,0.8] recall 0.866667 [1,1,0.6] recall 0.933333 [1,0.8,1] recall 0.4 [0.4,0.4,0.4] recall 0.733333 [0.6,0.8,0.8] recall 0.6 [0.8,0.4,0.6] recall 0.666667 [0.8,0.6,0.6] recall 0.666667 [0.75,0.4,0.833333] recall 0.6 [1,0.2,0.6] recall 0.733333 [1,0.6,0.6] recall 0.466667 [0.4,0.4,0.6] recall 0.866667 [0.8,0.8,1] recall 0.8 [1,0.8,0.666667] recall 0.466667 [0.6,0.2,0.6] recall 0.6 [1,0.6,0.333333] recall 0.733333 [0.5,1,0.666667] recall 0.533333 [0.6,0.4,0.6] relative_absolute_error 0.851768 relative_absolute_error 0.623564 relative_absolute_error 0.772857 relative_absolute_error 0.842929 relative_absolute_error 0.851172 relative_absolute_error 0.654683 relative_absolute_error 0.770446 relative_absolute_error 0.843465 relative_absolute_error 0.582328 relative_absolute_error 0.718402 relative_absolute_error 0.649395 relative_absolute_error 0.546456 relative_absolute_error 0.717193 relative_absolute_error 0.741622 relative_absolute_error 0.498973 relative_absolute_error 1.019501 relative_absolute_error 0.629666 relative_absolute_error 0.852293 relative_absolute_error 0.80555 relative_absolute_error 0.785109 relative_absolute_error 0.657682 relative_absolute_error 0.840499 relative_absolute_error 0.793179 relative_absolute_error 0.637941 relative_absolute_error 0.84575 relative_absolute_error 0.693792 relative_absolute_error 0.917137 relative_absolute_error 0.715419 relative_absolute_error 0.816767 relative_absolute_error 0.687449 relative_absolute_error 0.682851 relative_absolute_error 0.615775 relative_absolute_error 0.6016 relative_absolute_error 0.753413 relative_absolute_error 0.773961 relative_absolute_error 0.894366 relative_absolute_error 0.826224 relative_absolute_error 0.665166 relative_absolute_error 0.745892 relative_absolute_error 0.767917 relative_absolute_error 0.633553 relative_absolute_error 0.713651 relative_absolute_error 0.710015 relative_absolute_error 0.770986 relative_absolute_error 0.740007 relative_absolute_error 0.594928 relative_absolute_error 0.720757 relative_absolute_error 0.593723 relative_absolute_error 0.709678 relative_absolute_error 0.771121 relative_absolute_error 0.737643 relative_absolute_error 0.870409 relative_absolute_error 0.730088 relative_absolute_error 0.749594 relative_absolute_error 0.721722 relative_absolute_error 0.982578 relative_absolute_error 0.629249 relative_absolute_error 0.586204 relative_absolute_error 0.752943 relative_absolute_error 0.627072 relative_absolute_error 0.910421 relative_absolute_error 0.733496 relative_absolute_error 0.782368 relative_absolute_error 0.928431 relative_absolute_error 0.660209 relative_absolute_error 0.486938 relative_absolute_error 0.678981 relative_absolute_error 0.762451 relative_absolute_error 0.782121 relative_absolute_error 0.982633 relative_absolute_error 0.75013 relative_absolute_error 0.88903 relative_absolute_error 0.533812 relative_absolute_error 0.704849 relative_absolute_error 0.667689 relative_absolute_error 0.737604 relative_absolute_error 0.721182 relative_absolute_error 0.786609 relative_absolute_error 0.658798 relative_absolute_error 0.711264 relative_absolute_error 0.703165 relative_absolute_error 0.715879 relative_absolute_error 0.793205 relative_absolute_error 0.486814 relative_absolute_error 0.583811 relative_absolute_error 0.528448 relative_absolute_error 0.740959 relative_absolute_error 0.687803 relative_absolute_error 0.704085 relative_absolute_error 0.76061 relative_absolute_error 0.577261 relative_absolute_error 0.753773 relative_absolute_error 0.661643 relative_absolute_error 0.79167 relative_absolute_error 0.471259 relative_absolute_error 0.559261 relative_absolute_error 0.756533 relative_absolute_error 0.735187 relative_absolute_error 0.641525 relative_absolute_error 0.818305 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 0.462707 root_mean_squared_error 0.368807 root_mean_squared_error 0.431145 root_mean_squared_error 0.475169 root_mean_squared_error 0.467337 root_mean_squared_error 0.378999 root_mean_squared_error 0.421512 root_mean_squared_error 0.45979 root_mean_squared_error 0.333052 root_mean_squared_error 0.404407 root_mean_squared_error 0.374939 root_mean_squared_error 0.342464 root_mean_squared_error 0.434726 root_mean_squared_error 0.445232 root_mean_squared_error 0.300536 root_mean_squared_error 0.534587 root_mean_squared_error 0.367114 root_mean_squared_error 0.466526 root_mean_squared_error 0.453208 root_mean_squared_error 0.445524 root_mean_squared_error 0.361134 root_mean_squared_error 0.450837 root_mean_squared_error 0.434189 root_mean_squared_error 0.354954 root_mean_squared_error 0.471841 root_mean_squared_error 0.379573 root_mean_squared_error 0.501924 root_mean_squared_error 0.405032 root_mean_squared_error 0.476774 root_mean_squared_error 0.396251 root_mean_squared_error 0.396818 root_mean_squared_error 0.340542 root_mean_squared_error 0.369393 root_mean_squared_error 0.423186 root_mean_squared_error 0.440694 root_mean_squared_error 0.48397 root_mean_squared_error 0.486361 root_mean_squared_error 0.375149 root_mean_squared_error 0.421267 root_mean_squared_error 0.418337 root_mean_squared_error 0.378134 root_mean_squared_error 0.415424 root_mean_squared_error 0.390359 root_mean_squared_error 0.446391 root_mean_squared_error 0.431376 root_mean_squared_error 0.357481 root_mean_squared_error 0.429392 root_mean_squared_error 0.344224 root_mean_squared_error 0.394783 root_mean_squared_error 0.424778 root_mean_squared_error 0.425816 root_mean_squared_error 0.500369 root_mean_squared_error 0.430181 root_mean_squared_error 0.425326 root_mean_squared_error 0.412718 root_mean_squared_error 0.533707 root_mean_squared_error 0.345312 root_mean_squared_error 0.352981 root_mean_squared_error 0.445208 root_mean_squared_error 0.404517 root_mean_squared_error 0.479296 root_mean_squared_error 0.402182 root_mean_squared_error 0.439182 root_mean_squared_error 0.495634 root_mean_squared_error 0.392859 root_mean_squared_error 0.280015 root_mean_squared_error 0.401029 root_mean_squared_error 0.42772 root_mean_squared_error 0.44783 root_mean_squared_error 0.545299 root_mean_squared_error 0.442035 root_mean_squared_error 0.506903 root_mean_squared_error 0.330181 root_mean_squared_error 0.422062 root_mean_squared_error 0.416564 root_mean_squared_error 0.414974 root_mean_squared_error 0.381986 root_mean_squared_error 0.456368 root_mean_squared_error 0.390704 root_mean_squared_error 0.407274 root_mean_squared_error 0.423939 root_mean_squared_error 0.37969 root_mean_squared_error 0.449535 root_mean_squared_error 0.290975 root_mean_squared_error 0.326243 root_mean_squared_error 0.274602 root_mean_squared_error 0.440884 root_mean_squared_error 0.362483 root_mean_squared_error 0.423057 root_mean_squared_error 0.401607 root_mean_squared_error 0.33441 root_mean_squared_error 0.44985 root_mean_squared_error 0.366988 root_mean_squared_error 0.437865 root_mean_squared_error 0.290684 root_mean_squared_error 0.363231 root_mean_squared_error 0.43571 root_mean_squared_error 0.418287 root_mean_squared_error 0.39485 root_mean_squared_error 0.436423 root_relative_squared_error 0.982401 root_relative_squared_error 0.783037 root_relative_squared_error 0.915391 root_relative_squared_error 1.008861 root_relative_squared_error 0.992233 root_relative_squared_error 0.804676 root_relative_squared_error 0.894938 root_relative_squared_error 0.976209 root_relative_squared_error 0.707122 root_relative_squared_error 0.858621 root_relative_squared_error 0.795248 root_relative_squared_error 0.727788 root_relative_squared_error 0.923859 root_relative_squared_error 0.946185 root_relative_squared_error 0.638685 root_relative_squared_error 1.133862 root_relative_squared_error 0.780171 root_relative_squared_error 0.989506 root_relative_squared_error 0.961258 root_relative_squared_error 0.946804 root_relative_squared_error 0.765968 root_relative_squared_error 0.956229 root_relative_squared_error 0.920919 root_relative_squared_error 0.752861 root_relative_squared_error 1.000778 root_relative_squared_error 0.805078 root_relative_squared_error 1.064585 root_relative_squared_error 0.859075 root_relative_squared_error 1.011241 root_relative_squared_error 0.840452 root_relative_squared_error 0.841653 root_relative_squared_error 0.722292 root_relative_squared_error 0.783486 root_relative_squared_error 0.89758 root_relative_squared_error 0.934716 root_relative_squared_error 1.026504 root_relative_squared_error 1.031576 root_relative_squared_error 0.795694 root_relative_squared_error 0.893511 root_relative_squared_error 0.887296 root_relative_squared_error 0.802024 root_relative_squared_error 0.881117 root_relative_squared_error 0.827954 root_relative_squared_error 0.946798 root_relative_squared_error 0.914952 root_relative_squared_error 0.75822 root_relative_squared_error 0.910743 root_relative_squared_error 0.730102 root_relative_squared_error 0.837338 root_relative_squared_error 0.900957 root_relative_squared_error 0.903158 root_relative_squared_error 1.061287 root_relative_squared_error 0.912417 root_relative_squared_error 0.902119 root_relative_squared_error 0.875379 root_relative_squared_error 1.131997 root_relative_squared_error 0.73241 root_relative_squared_error 0.748675 root_relative_squared_error 0.94429 root_relative_squared_error 0.857983 root_relative_squared_error 1.016589 root_relative_squared_error 0.853031 root_relative_squared_error 0.931508 root_relative_squared_error 1.051244 root_relative_squared_error 0.833257 root_relative_squared_error 0.593914 root_relative_squared_error 0.850585 root_relative_squared_error 0.907198 root_relative_squared_error 0.94985 root_relative_squared_error 1.156583 root_relative_squared_error 0.937559 root_relative_squared_error 1.075144 root_relative_squared_error 0.700317 root_relative_squared_error 0.895196 root_relative_squared_error 0.883535 root_relative_squared_error 0.880162 root_relative_squared_error 0.810195 root_relative_squared_error 0.967961 root_relative_squared_error 0.828686 root_relative_squared_error 0.863832 root_relative_squared_error 0.899177 root_relative_squared_error 0.805326 root_relative_squared_error 0.953466 root_relative_squared_error 0.617161 root_relative_squared_error 0.691963 root_relative_squared_error 0.582432 root_relative_squared_error 0.935117 root_relative_squared_error 0.76883 root_relative_squared_error 0.897307 root_relative_squared_error 0.851811 root_relative_squared_error 0.710671 root_relative_squared_error 0.954136 root_relative_squared_error 0.778385 root_relative_squared_error 0.928716 root_relative_squared_error 0.616542 root_relative_squared_error 0.771919 root_relative_squared_error 0.924145 root_relative_squared_error 0.888922 root_relative_squared_error 0.839115 root_relative_squared_error 0.925657 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 110 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 110 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 70 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 70 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 100 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 110 usercpu_time_millis_training 70 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 110 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 70 usercpu_time_millis_training 70 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 70 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90