370954 2 Joaquin Vanschoren 4421 Supervised Classification predictive_accuracy 1168 weka.BayesNet_K2(6) 1921 weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 D true 1168 Q weka.classifiers.bayes.net.search.local.K2 1168 P 1 1169 S BAYES 1169 weka weka_3.7.12 851 tecator https://www.openml.org/data/download/53385/tecator.arff -1 1287598 description https://api.openml.org/data/download/1287598/weka_generated_run7093839052446349971.xml -1 1287601 model_readable https://api.openml.org/data/download/1287601/WekaModel_weka.classifiers.bayes.BayesNet8198995796190352300.model -1 1287600 model_serialized https://api.openml.org/data/download/1287600/WekaSerialized_weka.classifiers.bayes.BayesNet6843364958682205337.model -1 1287599 predictions https://api.openml.org/data/download/1287599/weka_generated_predictions1870183566978284634.arff area_under_roc_curve 0.687288 [0.687288,0.687288] average_cost 0 f_measure 0.635944 [0.63821,0.634269] kappa 0.289637 kb_relative_information_score 596.307227 mean_absolute_error 0.363696 mean_prior_absolute_error 0.488843 number_of_instances 2400 [1020,1380] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.667174 [0.552764,0.751738] predictive_accuracy 0.63625 prior_entropy 0.983977 recall 0.63625 [0.754902,0.548551] relative_absolute_error 0.743994 root_mean_prior_squared_error 0.494343 root_mean_squared_error 0.601107 root_relative_squared_error 1.215971 scimark_benchmark 1303.563215 [786.7571646357777, 961.0748763849452, 498.25607343629724, 1069.5389745082775, 3202.188983850141] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 0.681818 [0.681818,0.681818] area_under_roc_curve 0.457143 [0.457143,0.457143] area_under_roc_curve 0.978571 [0.978571,0.978571] area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.771429 [0.771429,0.771429] area_under_roc_curve 0.771429 [0.771429,0.771429] area_under_roc_curve 0.742857 [0.742857,0.742857] area_under_roc_curve 0.892857 [0.892857,0.892857] area_under_roc_curve 0.435714 [0.435714,0.435714] area_under_roc_curve 0.503497 [0.503497,0.503497] area_under_roc_curve 0.72028 [0.72028,0.72028] area_under_roc_curve 0.642857 [0.642857,0.642857] area_under_roc_curve 0.842857 [0.842857,0.842857] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.635714 [0.635714,0.635714] area_under_roc_curve 0.792857 [0.792857,0.792857] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.782143 [0.782143,0.782143] area_under_roc_curve 0.587413 [0.587413,0.587413] area_under_roc_curve 0.764286 [0.764286,0.764286] area_under_roc_curve 0.478571 [0.478571,0.478571] area_under_roc_curve 0.564286 [0.564286,0.564286] area_under_roc_curve 0.535714 [0.535714,0.535714] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.496429 [0.496429,0.496429] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.921429 [0.921429,0.921429] area_under_roc_curve 0.692857 [0.692857,0.692857] area_under_roc_curve 0.514286 [0.514286,0.514286] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.635714 [0.635714,0.635714] area_under_roc_curve 0.660714 [0.660714,0.660714] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.685714 [0.685714,0.685714] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.864286 [0.864286,0.864286] area_under_roc_curve 0.696429 [0.696429,0.696429] area_under_roc_curve 0.746429 [0.746429,0.746429] area_under_roc_curve 0.632143 [0.632143,0.632143] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.714286 [0.714286,0.714286] area_under_roc_curve 0.932143 [0.932143,0.932143] area_under_roc_curve 0.685714 [0.685714,0.685714] area_under_roc_curve 0.867857 [0.867857,0.867857] area_under_roc_curve 0.553571 [0.553571,0.553571] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.996429 [0.996429,0.996429] area_under_roc_curve 0.628571 [0.628571,0.628571] area_under_roc_curve 0.589286 [0.589286,0.589286] area_under_roc_curve 0.571429 [0.571429,0.571429] area_under_roc_curve 0.475 [0.475,0.475] area_under_roc_curve 0.557143 [0.557143,0.557143] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.742857 [0.742857,0.742857] area_under_roc_curve 0.614286 [0.614286,0.614286] area_under_roc_curve 0.771429 [0.771429,0.771429] area_under_roc_curve 0.642857 [0.642857,0.642857] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.682143 [0.682143,0.682143] area_under_roc_curve 0.596429 [0.596429,0.596429] area_under_roc_curve 0.732143 [0.732143,0.732143] area_under_roc_curve 0.592857 [0.592857,0.592857] area_under_roc_curve 0.792857 [0.792857,0.792857] area_under_roc_curve 0.589286 [0.589286,0.589286] area_under_roc_curve 0.957143 [0.957143,0.957143] area_under_roc_curve 0.610714 [0.610714,0.610714] area_under_roc_curve 0.610714 [0.610714,0.610714] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.814286 [0.814286,0.814286] area_under_roc_curve 0.578571 [0.578571,0.578571] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.689286 [0.689286,0.689286] area_under_roc_curve 0.814286 [0.814286,0.814286] area_under_roc_curve 0.601399 [0.601399,0.601399] area_under_roc_curve 0.58042 [0.58042,0.58042] area_under_roc_curve 0.895105 [0.895105,0.895105] area_under_roc_curve 0.713287 [0.713287,0.713287] area_under_roc_curve 0.699301 [0.699301,0.699301] area_under_roc_curve 0.555944 [0.555944,0.555944] area_under_roc_curve 0.594406 [0.594406,0.594406] area_under_roc_curve 0.734266 [0.734266,0.734266] area_under_roc_curve 0.889286 [0.889286,0.889286] area_under_roc_curve 0.721429 [0.721429,0.721429] area_under_roc_curve 0.744755 [0.744755,0.744755] area_under_roc_curve 0.611888 [0.611888,0.611888] area_under_roc_curve 0.692308 [0.692308,0.692308] area_under_roc_curve 0.751748 [0.751748,0.751748] area_under_roc_curve 0.587413 [0.587413,0.587413] area_under_roc_curve 0.527972 [0.527972,0.527972] area_under_roc_curve 0.664336 [0.664336,0.664336] area_under_roc_curve 0.660839 [0.660839,0.660839] area_under_roc_curve 0.589286 [0.589286,0.589286] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.60118 [0.689655,0.526316] f_measure 0.383333 [0.5,0.3] f_measure 0.875652 [0.869565,0.88] f_measure 0.503497 [0.454545,0.538462] f_measure 0.751748 [0.727273,0.769231] f_measure 0.666667 [0.666667,0.666667] f_measure 0.666667 [0.666667,0.666667] f_measure 0.647619 [0.714286,0.6] f_measure 0.461159 [0.434783,0.48] f_measure 0.5 [0.5,0.5] f_measure 0.708841 [0.695652,0.72] f_measure 0.621739 [0.64,0.608696] f_measure 0.751748 [0.727273,0.769231] f_measure 0.697531 [0.740741,0.666667] f_measure 0.524691 [0.592593,0.47619] f_measure 0.751748 [0.727273,0.769231] f_measure 0.709855 [0.695652,0.72] f_measure 0.744755 [0.769231,0.727273] f_measure 0.709877 [0.666667,0.740741] f_measure 0.583333 [0.583333,0.583333] f_measure 0.709877 [0.666667,0.740741] f_measure 0.453623 [0.48,0.434783] f_measure 0.537681 [0.56,0.521739] f_measure 0.544092 [0.47619,0.592593] f_measure 0.544058 [0.521739,0.56] f_measure 0.48951 [0.538462,0.454545] f_measure 0.583333 [0.583333,0.583333] f_measure 0.626957 [0.608696,0.64] f_measure 0.744755 [0.769231,0.727273] f_measure 0.559524 [0.642857,0.5] f_measure 0.5 [0.5,0.5] f_measure 0.666667 [0.666667,0.666667] f_measure 0.626957 [0.608696,0.64] f_measure 0.668998 [0.636364,0.692308] f_measure 0.621739 [0.64,0.608696] f_measure 0.917249 [0.909091,0.923077] f_measure 0.666667 [0.666667,0.666667] f_measure 0.583333 [0.583333,0.583333] f_measure 0.709855 [0.695652,0.72] f_measure 0.611111 [0.666667,0.571429] f_measure 0.668998 [0.636364,0.692308] f_measure 0.559524 [0.642857,0.5] f_measure 0.666667 [0.666667,0.666667] f_measure 0.705687 [0.631579,0.758621] f_measure 0.75 [0.75,0.75] f_measure 0.626957 [0.608696,0.64] f_measure 0.75 [0.75,0.75] f_measure 0.537508 [0.421053,0.62069] f_measure 0.621597 [0.526316,0.689655] f_measure 0.621739 [0.64,0.608696] f_measure 0.659674 [0.692308,0.636364] f_measure 0.744755 [0.769231,0.727273] f_measure 0.559524 [0.642857,0.5] f_measure 0.583333 [0.583333,0.583333] f_measure 0.583333 [0.5,0.642857] f_measure 0.503497 [0.454545,0.538462] f_measure 0.5 [0.5,0.5] f_measure 0.917249 [0.909091,0.923077] f_measure 0.621739 [0.64,0.608696] f_measure 0.666667 [0.666667,0.666667] f_measure 0.574592 [0.615385,0.545455] f_measure 0.709855 [0.695652,0.72] f_measure 0.621739 [0.64,0.608696] f_measure 0.647619 [0.714286,0.6] f_measure 0.583333 [0.583333,0.583333] f_measure 0.559524 [0.642857,0.5] f_measure 0.524691 [0.592593,0.47619] f_measure 0.621739 [0.64,0.608696] f_measure 0.504235 [0.62069,0.421053] f_measure 0.792769 [0.761905,0.814815] f_measure 0.583333 [0.583333,0.583333] f_measure 0.792769 [0.761905,0.814815] f_measure 0.583333 [0.583333,0.583333] f_measure 0.537681 [0.56,0.521739] f_measure 0.594374 [0.689655,0.526316] f_measure 0.666667 [0.666667,0.666667] f_measure 0.789776 [0.736842,0.827586] f_measure 0.48951 [0.538462,0.454545] f_measure 0.626957 [0.608696,0.64] f_measure 0.626957 [0.608696,0.64] f_measure 0.75 [0.7,0.785714] f_measure 0.583333 [0.545455,0.615385] f_measure 0.583333 [0.545455,0.615385] f_measure 0.79058 [0.8,0.782609] f_measure 0.661905 [0.6,0.714286] f_measure 0.708841 [0.695652,0.72] f_measure 0.529541 [0.592593,0.47619] f_measure 0.577506 [0.615385,0.545455] f_measure 0.615079 [0.666667,0.571429] f_measure 0.789776 [0.736842,0.827586] f_measure 0.611111 [0.666667,0.571429] f_measure 0.666667 [0.636364,0.692308] f_measure 0.583333 [0.583333,0.583333] f_measure 0.652381 [0.714286,0.6] f_measure 0.60118 [0.689655,0.526316] f_measure 0.583333 [0.583333,0.583333] f_measure 0.493007 [0.538462,0.454545] f_measure 0.666667 [0.636364,0.692308] f_measure 0.615079 [0.666667,0.571429] f_measure 0.583333 [0.583333,0.583333] kappa 0.28 kappa -0.076923 kappa 0.753425 kappa 0 kappa 0.5 kappa 0.351351 kappa 0.351351 kappa 0.384615 kappa -0.068493 kappa 0.006897 kappa 0.416667 kappa 0.28 kappa 0.5 kappa 0.454545 kappa 0.142857 kappa 0.5 kappa 0.424658 kappa 0.526316 kappa 0.408451 kappa 0.172414 kappa 0.408451 kappa -0.04 kappa 0.12 kappa 0.070423 kappa 0.09589 kappa 0.052632 kappa 0.189189 kappa 0.260274 kappa 0.526316 kappa 0.230769 kappa 0.027027 kappa 0.351351 kappa 0.260274 kappa 0.333333 kappa 0.28 kappa 0.833333 kappa 0.351351 kappa 0.189189 kappa 0.424658 kappa 0.298701 kappa 0.333333 kappa 0.230769 kappa 0.351351 kappa 0.391304 kappa 0.513514 kappa 0.260274 kappa 0.513514 kappa 0.043478 kappa 0.217391 kappa 0.28 kappa 0.368421 kappa 0.526316 kappa 0.230769 kappa 0.189189 kappa 0.142857 kappa 0 kappa 0.027027 kappa 0.833333 kappa 0.28 kappa 0.351351 kappa 0.210526 kappa 0.424658 kappa 0.28 kappa 0.384615 kappa 0.189189 kappa 0.230769 kappa 0.142857 kappa 0.28 kappa 0.164557 kappa 0.577465 kappa 0.189189 kappa 0.577465 kappa 0.189189 kappa 0.12 kappa 0.316456 kappa 0.351351 kappa 0.565217 kappa 0.052632 kappa 0.260274 kappa 0.260274 kappa 0.485714 kappa 0.160839 kappa 0.160839 kappa 0.589041 kappa 0.319149 kappa 0.416667 kappa 0.108108 kappa 0.183673 kappa 0.27027 kappa 0.565217 kappa 0.298701 kappa 0.328671 kappa 0.172414 kappa 0.355705 kappa 0.28 kappa 0.172414 kappa 0.020408 kappa 0.328671 kappa 0.27027 kappa 0.189189 kb_relative_information_score 5.756652 kb_relative_information_score -5.009719 kb_relative_information_score 17.637393 kb_relative_information_score -0.878961 kb_relative_information_score 11.499606 kb_relative_information_score 7.382713 kb_relative_information_score 7.382549 kb_relative_information_score 7.383763 kb_relative_information_score -2.944354 kb_relative_information_score -0.439482 kb_relative_information_score 9.454641 kb_relative_information_score 5.315706 kb_relative_information_score 11.513461 kb_relative_information_score 9.469343 kb_relative_information_score 1.190092 kb_relative_information_score 11.483257 kb_relative_information_score 9.446769 kb_relative_information_score 12.373106 kb_relative_information_score 9.448139 kb_relative_information_score 3.691273 kb_relative_information_score 9.383549 kb_relative_information_score -2.944342 kb_relative_information_score 1.186413 kb_relative_information_score 1.186413 kb_relative_information_score 1.186413 kb_relative_information_score -0.88072 kb_relative_information_score 3.251791 kb_relative_information_score 5.317156 kb_relative_information_score 11.6279 kb_relative_information_score 3.251804 kb_relative_information_score -0.878964 kb_relative_information_score 7.439162 kb_relative_information_score 5.317168 kb_relative_information_score 7.382544 kb_relative_information_score 5.317168 kb_relative_information_score 17.726472 kb_relative_information_score 7.382546 kb_relative_information_score 3.251788 kb_relative_information_score 9.464965 kb_relative_information_score 5.317173 kb_relative_information_score 7.382783 kb_relative_information_score 3.317765 kb_relative_information_score 7.382585 kb_relative_information_score 9.447933 kb_relative_information_score 12.053476 kb_relative_information_score 5.317359 kb_relative_information_score 11.506314 kb_relative_information_score 1.186415 kb_relative_information_score 6.136071 kb_relative_information_score 5.317168 kb_relative_information_score 7.382609 kb_relative_information_score 12.474973 kb_relative_information_score 3.251791 kb_relative_information_score 3.213561 kb_relative_information_score 3.251791 kb_relative_information_score -0.878967 kb_relative_information_score -0.812637 kb_relative_information_score 18.92781 kb_relative_information_score 5.317168 kb_relative_information_score 7.382738 kb_relative_information_score 3.251791 kb_relative_information_score 9.449687 kb_relative_information_score 5.317167 kb_relative_information_score 7.390615 kb_relative_information_score 3.251791 kb_relative_information_score 3.251773 kb_relative_information_score 1.191516 kb_relative_information_score 5.317221 kb_relative_information_score 1.248803 kb_relative_information_score 13.55625 kb_relative_information_score 2.759525 kb_relative_information_score 14.348939 kb_relative_information_score 2.983567 kb_relative_information_score 1.186418 kb_relative_information_score 5.302216 kb_relative_information_score 7.382728 kb_relative_information_score 13.269061 kb_relative_information_score -0.865775 kb_relative_information_score 5.314731 kb_relative_information_score 5.628194 kb_relative_information_score 11.58697 kb_relative_information_score 3.691747 kb_relative_information_score 3.691273 kb_relative_information_score 13.401368 kb_relative_information_score 7.822968 kb_relative_information_score 9.876599 kb_relative_information_score 1.625895 kb_relative_information_score 3.691273 kb_relative_information_score 5.75668 kb_relative_information_score 13.632568 kb_relative_information_score 5.317038 kb_relative_information_score 7.827816 kb_relative_information_score 3.714428 kb_relative_information_score 7.813052 kb_relative_information_score 5.756658 kb_relative_information_score 3.691273 kb_relative_information_score 0.041859 kb_relative_information_score 7.822028 kb_relative_information_score 5.756684 kb_relative_information_score 3.251786 mean_absolute_error 0.375 mean_absolute_error 0.583333 mean_absolute_error 0.126981 mean_absolute_error 0.5 mean_absolute_error 0.250387 mean_absolute_error 0.333329 mean_absolute_error 0.333333 mean_absolute_error 0.333299 mean_absolute_error 0.541667 mean_absolute_error 0.5 mean_absolute_error 0.302316 mean_absolute_error 0.375042 mean_absolute_error 0.249995 mean_absolute_error 0.291059 mean_absolute_error 0.458229 mean_absolute_error 0.250849 mean_absolute_error 0.291699 mean_absolute_error 0.231708 mean_absolute_error 0.291661 mean_absolute_error 0.416667 mean_absolute_error 0.29346 mean_absolute_error 0.541667 mean_absolute_error 0.458333 mean_absolute_error 0.458333 mean_absolute_error 0.458333 mean_absolute_error 0.50005 mean_absolute_error 0.416667 mean_absolute_error 0.375 mean_absolute_error 0.246817 mean_absolute_error 0.416666 mean_absolute_error 0.5 mean_absolute_error 0.331743 mean_absolute_error 0.375 mean_absolute_error 0.333333 mean_absolute_error 0.375 mean_absolute_error 0.129807 mean_absolute_error 0.333333 mean_absolute_error 0.416667 mean_absolute_error 0.291184 mean_absolute_error 0.375 mean_absolute_error 0.333327 mean_absolute_error 0.414833 mean_absolute_error 0.333332 mean_absolute_error 0.291666 mean_absolute_error 0.236669 mean_absolute_error 0.374995 mean_absolute_error 0.250198 mean_absolute_error 0.458333 mean_absolute_error 0.357169 mean_absolute_error 0.375 mean_absolute_error 0.333332 mean_absolute_error 0.227155 mean_absolute_error 0.416667 mean_absolute_error 0.417739 mean_absolute_error 0.416667 mean_absolute_error 0.5 mean_absolute_error 0.498137 mean_absolute_error 0.104397 mean_absolute_error 0.375 mean_absolute_error 0.333328 mean_absolute_error 0.416667 mean_absolute_error 0.291617 mean_absolute_error 0.375 mean_absolute_error 0.333104 mean_absolute_error 0.416667 mean_absolute_error 0.416667 mean_absolute_error 0.458189 mean_absolute_error 0.374999 mean_absolute_error 0.456597 mean_absolute_error 0.208969 mean_absolute_error 0.42855 mean_absolute_error 0.188581 mean_absolute_error 0.423633 mean_absolute_error 0.458333 mean_absolute_error 0.375423 mean_absolute_error 0.333328 mean_absolute_error 0.216236 mean_absolute_error 0.499626 mean_absolute_error 0.375069 mean_absolute_error 0.367036 mean_absolute_error 0.247958 mean_absolute_error 0.416653 mean_absolute_error 0.416667 mean_absolute_error 0.218829 mean_absolute_error 0.333307 mean_absolute_error 0.291973 mean_absolute_error 0.458333 mean_absolute_error 0.416667 mean_absolute_error 0.374999 mean_absolute_error 0.206661 mean_absolute_error 0.375004 mean_absolute_error 0.33317 mean_absolute_error 0.416014 mean_absolute_error 0.333588 mean_absolute_error 0.375 mean_absolute_error 0.416667 mean_absolute_error 0.487968 mean_absolute_error 0.333333 mean_absolute_error 0.374999 mean_absolute_error 0.416667 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.487603 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.493802 mean_prior_absolute_error 0.487603 number_of_instances 24 [11,13] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [11,13] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [10,14] number_of_instances 24 [10,14] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [11,13] number_of_instances 24 [10,14] precision 0.706019 [0.555556,0.833333] precision 0.453704 [0.388889,0.5] precision 0.903846 [0.769231,1] precision 0.513889 [0.416667,0.583333] precision 0.763889 [0.666667,0.833333] precision 0.704762 [0.571429,0.8] precision 0.704762 [0.571429,0.8] precision 0.814815 [0.555556,1] precision 0.478438 [0.384615,0.545455] precision 0.506993 [0.461538,0.545455] precision 0.711806 [0.666667,0.75] precision 0.675926 [0.533333,0.777778] precision 0.763889 [0.666667,0.833333] precision 0.828431 [0.588235,1] precision 0.612745 [0.470588,0.714286] precision 0.763889 [0.666667,0.833333] precision 0.733683 [0.615385,0.818182] precision 0.84375 [0.625,1] precision 0.713869 [0.636364,0.769231] precision 0.591492 [0.538462,0.636364] precision 0.713869 [0.636364,0.769231] precision 0.490741 [0.4,0.555556] precision 0.583333 [0.466667,0.666667] precision 0.548368 [0.454545,0.615385] precision 0.56352 [0.461538,0.636364] precision 0.546875 [0.4375,0.625] precision 0.616667 [0.5,0.7] precision 0.648601 [0.538462,0.727273] precision 0.84375 [0.625,1] precision 0.694444 [0.5,0.833333] precision 0.528571 [0.428571,0.6] precision 0.704762 [0.571429,0.8] precision 0.648601 [0.538462,0.727273] precision 0.680556 [0.583333,0.75] precision 0.675926 [0.533333,0.777778] precision 0.930556 [0.833333,1] precision 0.704762 [0.571429,0.8] precision 0.616667 [0.5,0.7] precision 0.733683 [0.615385,0.818182] precision 0.720588 [0.529412,0.857143] precision 0.680556 [0.583333,0.75] precision 0.694444 [0.5,0.833333] precision 0.704762 [0.571429,0.8] precision 0.705556 [0.666667,0.733333] precision 0.792857 [0.642857,0.9] precision 0.648601 [0.538462,0.727273] precision 0.792857 [0.642857,0.9] precision 0.535185 [0.444444,0.6] precision 0.62037 [0.555556,0.666667] precision 0.675926 [0.533333,0.777778] precision 0.744792 [0.5625,0.875] precision 0.84375 [0.625,1] precision 0.694444 [0.5,0.833333] precision 0.616667 [0.5,0.7] precision 0.583333 [0.5,0.642857] precision 0.513889 [0.416667,0.583333] precision 0.528571 [0.428571,0.6] precision 0.930556 [0.833333,1] precision 0.675926 [0.533333,0.777778] precision 0.704762 [0.571429,0.8] precision 0.645833 [0.5,0.75] precision 0.733683 [0.615385,0.818182] precision 0.675926 [0.533333,0.777778] precision 0.814815 [0.555556,1] precision 0.616667 [0.5,0.7] precision 0.694444 [0.5,0.833333] precision 0.612745 [0.470588,0.714286] precision 0.675926 [0.533333,0.777778] precision 0.664035 [0.473684,0.8] precision 0.79662 [0.727273,0.846154] precision 0.616667 [0.5,0.7] precision 0.79662 [0.727273,0.846154] precision 0.616667 [0.5,0.7] precision 0.583333 [0.466667,0.666667] precision 0.802632 [0.526316,1] precision 0.704762 [0.571429,0.8] precision 0.790741 [0.777778,0.8] precision 0.546875 [0.4375,0.625] precision 0.648601 [0.538462,0.727273] precision 0.648601 [0.538462,0.727273] precision 0.75 [0.7,0.785714] precision 0.583333 [0.545455,0.615385] precision 0.583333 [0.545455,0.615385] precision 0.814881 [0.714286,0.9] precision 0.666667 [0.666667,0.666667] precision 0.711806 [0.666667,0.75] precision 0.567708 [0.5,0.625] precision 0.605556 [0.533333,0.666667] precision 0.664062 [0.5625,0.75] precision 0.790741 [0.777778,0.8] precision 0.720588 [0.529412,0.857143] precision 0.666667 [0.636364,0.692308] precision 0.591492 [0.538462,0.636364] precision 0.733894 [0.588235,0.857143] precision 0.706019 [0.555556,0.833333] precision 0.591492 [0.538462,0.636364] precision 0.514815 [0.466667,0.555556] precision 0.666667 [0.636364,0.692308] precision 0.664062 [0.5625,0.75] precision 0.616667 [0.5,0.7] predictive_accuracy 0.625 predictive_accuracy 0.416667 predictive_accuracy 0.875 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.458333 predictive_accuracy 0.5 predictive_accuracy 0.708333 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.708333 predictive_accuracy 0.541667 predictive_accuracy 0.75 predictive_accuracy 0.708333 predictive_accuracy 0.75 predictive_accuracy 0.708333 predictive_accuracy 0.583333 predictive_accuracy 0.708333 predictive_accuracy 0.458333 predictive_accuracy 0.541667 predictive_accuracy 0.541667 predictive_accuracy 0.541667 predictive_accuracy 0.5 predictive_accuracy 0.583333 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.583333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.625 predictive_accuracy 0.666667 predictive_accuracy 0.625 predictive_accuracy 0.916667 predictive_accuracy 0.666667 predictive_accuracy 0.583333 predictive_accuracy 0.708333 predictive_accuracy 0.625 predictive_accuracy 0.666667 predictive_accuracy 0.583333 predictive_accuracy 0.666667 predictive_accuracy 0.708333 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.541667 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.666667 predictive_accuracy 0.75 predictive_accuracy 0.583333 predictive_accuracy 0.583333 predictive_accuracy 0.583333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.916667 predictive_accuracy 0.625 predictive_accuracy 0.666667 predictive_accuracy 0.583333 predictive_accuracy 0.708333 predictive_accuracy 0.625 predictive_accuracy 0.666667 predictive_accuracy 0.583333 predictive_accuracy 0.583333 predictive_accuracy 0.541667 predictive_accuracy 0.625 predictive_accuracy 0.541667 predictive_accuracy 0.791667 predictive_accuracy 0.583333 predictive_accuracy 0.791667 predictive_accuracy 0.583333 predictive_accuracy 0.541667 predictive_accuracy 0.625 predictive_accuracy 0.666667 predictive_accuracy 0.791667 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.583333 predictive_accuracy 0.583333 predictive_accuracy 0.791667 predictive_accuracy 0.666667 predictive_accuracy 0.708333 predictive_accuracy 0.541667 predictive_accuracy 0.583333 predictive_accuracy 0.625 predictive_accuracy 0.791667 predictive_accuracy 0.625 predictive_accuracy 0.666667 predictive_accuracy 0.583333 predictive_accuracy 0.666667 predictive_accuracy 0.625 predictive_accuracy 0.583333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.625 predictive_accuracy 0.583333 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 prior_entropy 0.983977 recall 0.625 [0.909091,0.384615] recall 0.416667 [0.7,0.214286] recall 0.875 [1,0.785714] recall 0.5 [0.5,0.5] recall 0.75 [0.8,0.714286] recall 0.666667 [0.8,0.571429] recall 0.666667 [0.8,0.571429] recall 0.666667 [1,0.428571] recall 0.458333 [0.5,0.428571] recall 0.5 [0.545455,0.461538] recall 0.708333 [0.727273,0.692308] recall 0.625 [0.8,0.5] recall 0.75 [0.8,0.714286] recall 0.708333 [1,0.5] recall 0.541667 [0.8,0.357143] recall 0.75 [0.8,0.714286] recall 0.708333 [0.8,0.642857] recall 0.75 [1,0.571429] recall 0.708333 [0.7,0.714286] recall 0.583333 [0.636364,0.538462] recall 0.708333 [0.7,0.714286] recall 0.458333 [0.6,0.357143] recall 0.541667 [0.7,0.428571] recall 0.541667 [0.5,0.571429] recall 0.541667 [0.6,0.5] recall 0.5 [0.7,0.357143] recall 0.583333 [0.7,0.5] recall 0.625 [0.7,0.571429] recall 0.75 [1,0.571429] recall 0.583333 [0.9,0.357143] recall 0.5 [0.6,0.428571] recall 0.666667 [0.8,0.571429] recall 0.625 [0.7,0.571429] recall 0.666667 [0.7,0.642857] recall 0.625 [0.8,0.5] recall 0.916667 [1,0.857143] recall 0.666667 [0.8,0.571429] recall 0.583333 [0.7,0.5] recall 0.708333 [0.8,0.642857] recall 0.625 [0.9,0.428571] recall 0.666667 [0.7,0.642857] recall 0.583333 [0.9,0.357143] recall 0.666667 [0.8,0.571429] recall 0.708333 [0.6,0.785714] recall 0.75 [0.9,0.642857] recall 0.625 [0.7,0.571429] recall 0.75 [0.9,0.642857] recall 0.541667 [0.4,0.642857] recall 0.625 [0.5,0.714286] recall 0.625 [0.8,0.5] recall 0.666667 [0.9,0.5] recall 0.75 [1,0.571429] recall 0.583333 [0.9,0.357143] recall 0.583333 [0.7,0.5] recall 0.583333 [0.5,0.642857] recall 0.5 [0.5,0.5] recall 0.5 [0.6,0.428571] recall 0.916667 [1,0.857143] recall 0.625 [0.8,0.5] recall 0.666667 [0.8,0.571429] recall 0.583333 [0.8,0.428571] recall 0.708333 [0.8,0.642857] recall 0.625 [0.8,0.5] recall 0.666667 [1,0.428571] recall 0.583333 [0.7,0.5] recall 0.583333 [0.9,0.357143] recall 0.541667 [0.8,0.357143] recall 0.625 [0.8,0.5] recall 0.541667 [0.9,0.285714] recall 0.791667 [0.8,0.785714] recall 0.583333 [0.7,0.5] recall 0.791667 [0.8,0.785714] recall 0.583333 [0.7,0.5] recall 0.541667 [0.7,0.428571] recall 0.625 [1,0.357143] recall 0.666667 [0.8,0.571429] recall 0.791667 [0.7,0.857143] recall 0.5 [0.7,0.357143] recall 0.625 [0.7,0.571429] recall 0.625 [0.7,0.571429] recall 0.75 [0.7,0.785714] recall 0.583333 [0.545455,0.615385] recall 0.583333 [0.545455,0.615385] recall 0.791667 [0.909091,0.692308] recall 0.666667 [0.545455,0.769231] recall 0.708333 [0.727273,0.692308] recall 0.541667 [0.727273,0.384615] recall 0.583333 [0.727273,0.461538] recall 0.625 [0.818182,0.461538] recall 0.791667 [0.7,0.857143] recall 0.625 [0.9,0.428571] recall 0.666667 [0.636364,0.692308] recall 0.583333 [0.636364,0.538462] recall 0.666667 [0.909091,0.461538] recall 0.625 [0.909091,0.384615] recall 0.583333 [0.636364,0.538462] recall 0.5 [0.636364,0.384615] recall 0.666667 [0.636364,0.692308] recall 0.625 [0.818182,0.461538] recall 0.583333 [0.7,0.5] relative_absolute_error 0.759414 relative_absolute_error 1.196328 relative_absolute_error 0.260419 relative_absolute_error 1.025424 relative_absolute_error 0.513506 relative_absolute_error 0.683606 relative_absolute_error 0.683616 relative_absolute_error 0.683545 relative_absolute_error 1.110876 relative_absolute_error 1.012552 relative_absolute_error 0.612222 relative_absolute_error 0.769153 relative_absolute_error 0.512703 relative_absolute_error 0.596917 relative_absolute_error 0.939758 relative_absolute_error 0.514454 relative_absolute_error 0.598231 relative_absolute_error 0.475198 relative_absolute_error 0.598151 relative_absolute_error 0.843794 relative_absolute_error 0.601842 relative_absolute_error 1.110876 relative_absolute_error 0.939972 relative_absolute_error 0.939972 relative_absolute_error 0.939972 relative_absolute_error 1.025526 relative_absolute_error 0.85452 relative_absolute_error 0.769068 relative_absolute_error 0.506184 relative_absolute_error 0.854519 relative_absolute_error 1.025424 relative_absolute_error 0.680355 relative_absolute_error 0.769068 relative_absolute_error 0.683616 relative_absolute_error 0.769068 relative_absolute_error 0.266214 relative_absolute_error 0.683616 relative_absolute_error 0.85452 relative_absolute_error 0.597174 relative_absolute_error 0.769068 relative_absolute_error 0.683602 relative_absolute_error 0.85076 relative_absolute_error 0.683614 relative_absolute_error 0.598163 relative_absolute_error 0.485372 relative_absolute_error 0.769057 relative_absolute_error 0.513118 relative_absolute_error 0.939972 relative_absolute_error 0.732499 relative_absolute_error 0.769068 relative_absolute_error 0.683612 relative_absolute_error 0.46586 relative_absolute_error 0.85452 relative_absolute_error 0.856719 relative_absolute_error 0.85452 relative_absolute_error 1.025424 relative_absolute_error 1.021604 relative_absolute_error 0.214102 relative_absolute_error 0.769068 relative_absolute_error 0.683605 relative_absolute_error 0.85452 relative_absolute_error 0.598061 relative_absolute_error 0.769068 relative_absolute_error 0.683146 relative_absolute_error 0.85452 relative_absolute_error 0.854521 relative_absolute_error 0.939675 relative_absolute_error 0.769065 relative_absolute_error 0.936412 relative_absolute_error 0.428563 relative_absolute_error 0.87889 relative_absolute_error 0.386751 relative_absolute_error 0.868806 relative_absolute_error 0.939971 relative_absolute_error 0.769935 relative_absolute_error 0.683605 relative_absolute_error 0.443468 relative_absolute_error 1.024657 relative_absolute_error 0.76921 relative_absolute_error 0.752734 relative_absolute_error 0.508524 relative_absolute_error 0.843766 relative_absolute_error 0.843794 relative_absolute_error 0.443151 relative_absolute_error 0.674981 relative_absolute_error 0.591275 relative_absolute_error 0.928173 relative_absolute_error 0.843794 relative_absolute_error 0.759413 relative_absolute_error 0.423829 relative_absolute_error 0.769075 relative_absolute_error 0.674703 relative_absolute_error 0.842471 relative_absolute_error 0.67555 relative_absolute_error 0.759414 relative_absolute_error 0.843794 relative_absolute_error 0.988187 relative_absolute_error 0.675035 relative_absolute_error 0.759412 relative_absolute_error 0.85452 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.493088 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.499334 root_mean_prior_squared_error 0.493088 root_mean_squared_error 0.612372 root_mean_squared_error 0.763763 root_mean_squared_error 0.3527 root_mean_squared_error 0.707107 root_mean_squared_error 0.499947 root_mean_squared_error 0.577342 root_mean_squared_error 0.57735 root_mean_squared_error 0.577278 root_mean_squared_error 0.73598 root_mean_squared_error 0.707107 root_mean_squared_error 0.542576 root_mean_squared_error 0.612372 root_mean_squared_error 0.499991 root_mean_squared_error 0.538936 root_mean_squared_error 0.676849 root_mean_squared_error 0.500009 root_mean_squared_error 0.540059 root_mean_squared_error 0.469541 root_mean_squared_error 0.54005 root_mean_squared_error 0.645497 root_mean_squared_error 0.540125 root_mean_squared_error 0.73598 root_mean_squared_error 0.677003 root_mean_squared_error 0.677003 root_mean_squared_error 0.677003 root_mean_squared_error 0.707107 root_mean_squared_error 0.645497 root_mean_squared_error 0.612372 root_mean_squared_error 0.493737 root_mean_squared_error 0.645497 root_mean_squared_error 0.707107 root_mean_squared_error 0.574622 root_mean_squared_error 0.612372 root_mean_squared_error 0.57735 root_mean_squared_error 0.612372 root_mean_squared_error 0.316992 root_mean_squared_error 0.57735 root_mean_squared_error 0.645497 root_mean_squared_error 0.53917 root_mean_squared_error 0.612372 root_mean_squared_error 0.577339 root_mean_squared_error 0.64271 root_mean_squared_error 0.577348 root_mean_squared_error 0.540061 root_mean_squared_error 0.476036 root_mean_squared_error 0.612363 root_mean_squared_error 0.499982 root_mean_squared_error 0.677003 root_mean_squared_error 0.58904 root_mean_squared_error 0.612372 root_mean_squared_error 0.577347 root_mean_squared_error 0.459476 root_mean_squared_error 0.645497 root_mean_squared_error 0.645519 root_mean_squared_error 0.645497 root_mean_squared_error 0.707107 root_mean_squared_error 0.704499 root_mean_squared_error 0.262242 root_mean_squared_error 0.612372 root_mean_squared_error 0.577341 root_mean_squared_error 0.645497 root_mean_squared_error 0.539969 root_mean_squared_error 0.612372 root_mean_squared_error 0.576954 root_mean_squared_error 0.645497 root_mean_squared_error 0.645497 root_mean_squared_error 0.67679 root_mean_squared_error 0.61237 root_mean_squared_error 0.674488 root_mean_squared_error 0.456428 root_mean_squared_error 0.648117 root_mean_squared_error 0.415351 root_mean_squared_error 0.646398 root_mean_squared_error 0.677003 root_mean_squared_error 0.612375 root_mean_squared_error 0.577341 root_mean_squared_error 0.457807 root_mean_squared_error 0.706579 root_mean_squared_error 0.612373 root_mean_squared_error 0.600495 root_mean_squared_error 0.496 root_mean_squared_error 0.645476 root_mean_squared_error 0.645497 root_mean_squared_error 0.44808 root_mean_squared_error 0.577304 root_mean_squared_error 0.540064 root_mean_squared_error 0.677003 root_mean_squared_error 0.645497 root_mean_squared_error 0.612371 root_mean_squared_error 0.429912 root_mean_squared_error 0.612372 root_mean_squared_error 0.576898 root_mean_squared_error 0.644493 root_mean_squared_error 0.577352 root_mean_squared_error 0.612372 root_mean_squared_error 0.645497 root_mean_squared_error 0.691859 root_mean_squared_error 0.57735 root_mean_squared_error 0.612371 root_mean_squared_error 0.645497 root_relative_squared_error 1.226379 root_relative_squared_error 1.548938 root_relative_squared_error 0.715289 root_relative_squared_error 1.434038 root_relative_squared_error 1.013911 root_relative_squared_error 1.17087 root_relative_squared_error 1.170887 root_relative_squared_error 1.170741 root_relative_squared_error 1.492594 root_relative_squared_error 1.416101 root_relative_squared_error 1.0866 root_relative_squared_error 1.241913 root_relative_squared_error 1.013999 root_relative_squared_error 1.092981 root_relative_squared_error 1.372674 root_relative_squared_error 1.014035 root_relative_squared_error 1.095259 root_relative_squared_error 0.952246 root_relative_squared_error 1.095242 root_relative_squared_error 1.292717 root_relative_squared_error 1.095393 root_relative_squared_error 1.492594 root_relative_squared_error 1.372987 root_relative_squared_error 1.372987 root_relative_squared_error 1.372987 root_relative_squared_error 1.434038 root_relative_squared_error 1.309091 root_relative_squared_error 1.241913 root_relative_squared_error 1.001316 root_relative_squared_error 1.30909 root_relative_squared_error 1.434038 root_relative_squared_error 1.165355 root_relative_squared_error 1.241913 root_relative_squared_error 1.170887 root_relative_squared_error 1.241913 root_relative_squared_error 0.64287 root_relative_squared_error 1.170887 root_relative_squared_error 1.309091 root_relative_squared_error 1.093456 root_relative_squared_error 1.241913 root_relative_squared_error 1.170863 root_relative_squared_error 1.303439 root_relative_squared_error 1.170883 root_relative_squared_error 1.095263 root_relative_squared_error 0.965419 root_relative_squared_error 1.241893 root_relative_squared_error 1.01398 root_relative_squared_error 1.372987 root_relative_squared_error 1.194595 root_relative_squared_error 1.241913 root_relative_squared_error 1.170881 root_relative_squared_error 0.931833 root_relative_squared_error 1.309091 root_relative_squared_error 1.309135 root_relative_squared_error 1.309091 root_relative_squared_error 1.434038 root_relative_squared_error 1.428748 root_relative_squared_error 0.531836 root_relative_squared_error 1.241913 root_relative_squared_error 1.170868 root_relative_squared_error 1.309091 root_relative_squared_error 1.095076 root_relative_squared_error 1.241913 root_relative_squared_error 1.170083 root_relative_squared_error 1.309091 root_relative_squared_error 1.30909 root_relative_squared_error 1.372554 root_relative_squared_error 1.241908 root_relative_squared_error 1.367886 root_relative_squared_error 0.925652 root_relative_squared_error 1.314405 root_relative_squared_error 0.842347 root_relative_squared_error 1.310919 root_relative_squared_error 1.372986 root_relative_squared_error 1.241919 root_relative_squared_error 1.170869 root_relative_squared_error 0.928449 root_relative_squared_error 1.432967 root_relative_squared_error 1.241913 root_relative_squared_error 1.217824 root_relative_squared_error 1.005905 root_relative_squared_error 1.292676 root_relative_squared_error 1.292717 root_relative_squared_error 0.897355 root_relative_squared_error 1.156149 root_relative_squared_error 1.081569 root_relative_squared_error 1.355813 root_relative_squared_error 1.292717 root_relative_squared_error 1.226377 root_relative_squared_error 0.871878 root_relative_squared_error 1.241912 root_relative_squared_error 1.155335 root_relative_squared_error 1.290706 root_relative_squared_error 1.156244 root_relative_squared_error 1.226379 root_relative_squared_error 1.292717 root_relative_squared_error 1.385565 root_relative_squared_error 1.156242 root_relative_squared_error 1.226376 root_relative_squared_error 1.309091 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 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 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