370374 2 Joaquin Vanschoren 4333 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 762 fri_c2_100_10 https://www.openml.org/data/download/53296/fri_c2_100_10.arff -1 1285292 description https://api.openml.org/data/download/1285292/weka_generated_run7444561489598223222.xml -1 1285295 model_readable https://api.openml.org/data/download/1285295/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE7906256769356455982.model -1 1285294 model_serialized https://api.openml.org/data/download/1285294/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2337041918940359238.model -1 1285293 predictions https://api.openml.org/data/download/1285293/weka_generated_predictions7333283981462765948.arff area_under_roc_curve 0.798828 [0.798828,0.798828] average_cost 0 f_measure 0.770171 [0.746696,0.789377] kappa 0.536103 kb_relative_information_score 457.860894 mean_absolute_error 0.276827 mean_prior_absolute_error 0.495098 number_of_instances 1000 [450,550] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.77044 [0.740175,0.795203] predictive_accuracy 0.77 prior_entropy 0.993055 recall 0.77 [0.753333,0.783636] relative_absolute_error 0.559137 root_mean_prior_squared_error 0.497495 root_mean_squared_error 0.415399 root_relative_squared_error 0.834981 scimark_benchmark 1331.255863 [800.477525720216, 967.1041700008193, 536.3346162568728, 1113.1379952308184, 3239.2250102693683] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.44 [0.44,0.44] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.541667 [0.541667,0.541667] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.729167 [0.729167,0.729167] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.458333 [0.458333,0.458333] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.979167 [0.979167,0.979167] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.46 [0.46,0.46] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.958333 [0.958333,0.958333] area_under_roc_curve 0.520833 [0.520833,0.520833] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.458333 [0.458333,0.458333] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.895833 [0.895833,0.895833] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.895833 [0.895833,0.895833] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.979167 [0.979167,0.979167] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.875 [0.875,0.875] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.70303 [0.666667,0.727273] f_measure 0.69697 [0.666667,0.727273] f_measure 1 [1,1] f_measure 0.583333 [0.666667,0.5] f_measure 0.90101 [0.888889,0.909091] f_measure 0.89899 [0.888889,0.909091] f_measure 1 [1,1] f_measure 0.8 [0.75,0.833333] f_measure 0.89899 [0.909091,0.888889] f_measure 1 [1,1] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.8,0.8] f_measure 1 [1,1] f_measure 0.67033 [0.571429,0.769231] f_measure 0.780952 [0.666667,0.857143] f_measure 0.67033 [0.571429,0.769231] f_measure 0.89899 [0.909091,0.888889] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.909091,0.888889] f_measure 0.89899 [0.909091,0.888889] f_measure 0.8 [0.75,0.833333] f_measure 0.89899 [0.888889,0.909091] f_measure 0.52381 [0.714286,0.333333] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.8,0.8] f_measure 0.583333 [0.5,0.666667] f_measure 0.780952 [0.666667,0.857143] f_measure 0.89899 [0.888889,0.909091] f_measure 0.6 [0.6,0.6] f_measure 0.561905 [0.333333,0.714286] f_measure 0.52381 [0.333333,0.714286] f_measure 0.69697 [0.727273,0.666667] f_measure 0.89899 [0.909091,0.888889] f_measure 0.90101 [0.888889,0.909091] f_measure 0.583333 [0.666667,0.5] f_measure 0.6 [0.6,0.6] f_measure 0.566667 [0.666667,0.5] f_measure 0.6 [0.6,0.6] f_measure 0.583333 [0.5,0.666667] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.888889,0.909091] f_measure 0.69697 [0.666667,0.727273] f_measure 0.67033 [0.571429,0.769231] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.75,0.833333] f_measure 0.791667 [0.75,0.833333] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.505051 [0.444444,0.545455] f_measure 0.896703 [0.857143,0.923077] f_measure 1 [1,1] f_measure 0.791667 [0.833333,0.75] f_measure 0.90101 [0.888889,0.909091] f_measure 1 [1,1] f_measure 0.4 [0.4,0.4] f_measure 0.8 [0.75,0.833333] f_measure 0.70303 [0.666667,0.727273] f_measure 0.69697 [0.727273,0.666667] f_measure 0.90101 [0.888889,0.909091] f_measure 0.4 [0.4,0.4] f_measure 0.8 [0.75,0.833333] f_measure 0.583333 [0.666667,0.5] f_measure 0.90101 [0.888889,0.909091] f_measure 0.70303 [0.666667,0.727273] f_measure 1 [1,1] f_measure 0.4 [0.4,0.4] f_measure 0.8 [0.75,0.833333] f_measure 0.791667 [0.75,0.833333] f_measure 0.70303 [0.666667,0.727273] f_measure 0.6 [0.6,0.6] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.90101 [0.888889,0.909091] f_measure 0.8 [0.75,0.833333] f_measure 1 [1,1] f_measure 0.8 [0.75,0.833333] f_measure 0.690909 [0.727273,0.666667] f_measure 0.791667 [0.75,0.833333] f_measure 0.90101 [0.888889,0.909091] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.75,0.833333] f_measure 0.583333 [0.5,0.666667] f_measure 0.6 [0.5,0.666667] f_measure 0.70303 [0.666667,0.727273] f_measure 0.69697 [0.666667,0.727273] f_measure 1 [1,1] f_measure 0.69011 [0.571429,0.769231] f_measure 0.8 [0.8,0.8] f_measure 0.90101 [0.888889,0.909091] f_measure 0.780952 [0.666667,0.857143] f_measure 0.690909 [0.727273,0.666667] f_measure 0.8 [0.8,0.8] f_measure 0.780952 [0.666667,0.857143] f_measure 0.8 [0.75,0.833333] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.75,0.833333] f_measure 0.896703 [0.857143,0.923077] kappa 0.4 kappa 0.4 kappa 1 kappa 0.2 kappa 0.8 kappa 0.8 kappa 1 kappa 0.583333 kappa 0.8 kappa 1 kappa 0.615385 kappa 0.6 kappa 1 kappa 0.4 kappa 0.545455 kappa 0.4 kappa 0.8 kappa 0.4 kappa 0.8 kappa 0.8 kappa 0.583333 kappa 0.8 kappa 0.2 kappa 0.6 kappa 0.583333 kappa 0.6 kappa 0.2 kappa 0.545455 kappa 0.8 kappa 0.2 kappa 0.090909 kappa 0.2 kappa 0.4 kappa 0.8 kappa 0.8 kappa 0.2 kappa 0.2 kappa 0.285714 kappa 0.2 kappa 0.2 kappa 0.4 kappa 0.8 kappa 0.4 kappa 0.4 kappa 0.4 kappa 0.6 kappa 0.6 kappa 0.583333 kappa 0.6 kappa 0.4 kappa 0.6 kappa 0 kappa 0.782609 kappa 1 kappa 0.6 kappa 0.8 kappa 1 kappa -0.2 kappa 0.583333 kappa 0.4 kappa 0.4 kappa 0.8 kappa -0.153846 kappa 0.583333 kappa 0.2 kappa 0.8 kappa 0.4 kappa 1 kappa -0.153846 kappa 0.583333 kappa 0.6 kappa 0.4 kappa 0.230769 kappa 0.4 kappa 0.6 kappa 0.8 kappa 0.583333 kappa 1 kappa 0.583333 kappa 0.444444 kappa 0.6 kappa 0.8 kappa 0.583333 kappa 0.583333 kappa 0.2 kappa 0.166667 kappa 0.4 kappa 0.4 kappa 1 kappa 0.347826 kappa 0.6 kappa 0.8 kappa 0.545455 kappa 0.444444 kappa 0.6 kappa 0.545455 kappa 0.583333 kappa 0.4 kappa 0.583333 kappa 0.782609 kb_relative_information_score 3.711767 kb_relative_information_score 5.219414 kb_relative_information_score 7.235186 kb_relative_information_score 2.666259 kb_relative_information_score 7.260955 kb_relative_information_score 5.41137 kb_relative_information_score 7.9749 kb_relative_information_score 5.023986 kb_relative_information_score 6.210374 kb_relative_information_score 7.977853 kb_relative_information_score 4.879611 kb_relative_information_score 5.330037 kb_relative_information_score 7.939522 kb_relative_information_score 3.61016 kb_relative_information_score 3.57993 kb_relative_information_score 3.806214 kb_relative_information_score 7.288578 kb_relative_information_score 4.125461 kb_relative_information_score 6.11529 kb_relative_information_score 6.923634 kb_relative_information_score 5.713685 kb_relative_information_score 7.024912 kb_relative_information_score 2.440723 kb_relative_information_score 4.483696 kb_relative_information_score 5.038473 kb_relative_information_score 3.782705 kb_relative_information_score 2.549188 kb_relative_information_score 5.402932 kb_relative_information_score 6.183352 kb_relative_information_score 2.468722 kb_relative_information_score 3.067583 kb_relative_information_score 0.425341 kb_relative_information_score 4.861171 kb_relative_information_score 7.439307 kb_relative_information_score 7.260955 kb_relative_information_score 3.483038 kb_relative_information_score 2.766953 kb_relative_information_score 0.173746 kb_relative_information_score 1.098843 kb_relative_information_score 1.939847 kb_relative_information_score 3.285623 kb_relative_information_score 6.476608 kb_relative_information_score 2.86076 kb_relative_information_score 4.362095 kb_relative_information_score 3.120015 kb_relative_information_score 5.365046 kb_relative_information_score 5.943185 kb_relative_information_score 3.120982 kb_relative_information_score 5.736438 kb_relative_information_score 5.219414 kb_relative_information_score 5.399689 kb_relative_information_score -0.738666 kb_relative_information_score 5.512893 kb_relative_information_score 7.628005 kb_relative_information_score 5.226084 kb_relative_information_score 6.67017 kb_relative_information_score 7.684888 kb_relative_information_score -0.533711 kb_relative_information_score 4.998586 kb_relative_information_score 4.170894 kb_relative_information_score 3.596465 kb_relative_information_score 6.530229 kb_relative_information_score 0.29162 kb_relative_information_score 4.390959 kb_relative_information_score 1.816046 kb_relative_information_score 6.724743 kb_relative_information_score 2.626667 kb_relative_information_score 7.939522 kb_relative_information_score -0.933286 kb_relative_information_score 4.874367 kb_relative_information_score 5.571819 kb_relative_information_score 3.289123 kb_relative_information_score 1.481946 kb_relative_information_score 2.592847 kb_relative_information_score 5.461719 kb_relative_information_score 5.496872 kb_relative_information_score 3.364451 kb_relative_information_score 8.625157 kb_relative_information_score 5.471237 kb_relative_information_score 3.033255 kb_relative_information_score 6.107627 kb_relative_information_score 6.624097 kb_relative_information_score 5.440271 kb_relative_information_score 4.320444 kb_relative_information_score 2.549188 kb_relative_information_score 2.150682 kb_relative_information_score 2.555108 kb_relative_information_score 2.903193 kb_relative_information_score 8.309578 kb_relative_information_score 3.319008 kb_relative_information_score 4.340659 kb_relative_information_score 6.67017 kb_relative_information_score 5.793473 kb_relative_information_score 4.024738 kb_relative_information_score 5.069464 kb_relative_information_score 4.294137 kb_relative_information_score 5.212635 kb_relative_information_score 5.219414 kb_relative_information_score 3.315438 kb_relative_information_score 5.991141 mean_absolute_error 0.30875 mean_absolute_error 0.253395 mean_absolute_error 0.160315 mean_absolute_error 0.372587 mean_absolute_error 0.138824 mean_absolute_error 0.247682 mean_absolute_error 0.123758 mean_absolute_error 0.250979 mean_absolute_error 0.208565 mean_absolute_error 0.124452 mean_absolute_error 0.254206 mean_absolute_error 0.249705 mean_absolute_error 0.131975 mean_absolute_error 0.329537 mean_absolute_error 0.313506 mean_absolute_error 0.31665 mean_absolute_error 0.160507 mean_absolute_error 0.291135 mean_absolute_error 0.213294 mean_absolute_error 0.171422 mean_absolute_error 0.216735 mean_absolute_error 0.171422 mean_absolute_error 0.378172 mean_absolute_error 0.290328 mean_absolute_error 0.250024 mean_absolute_error 0.324705 mean_absolute_error 0.376954 mean_absolute_error 0.229687 mean_absolute_error 0.210059 mean_absolute_error 0.379836 mean_absolute_error 0.339096 mean_absolute_error 0.485681 mean_absolute_error 0.265899 mean_absolute_error 0.145794 mean_absolute_error 0.138824 mean_absolute_error 0.326643 mean_absolute_error 0.357372 mean_absolute_error 0.482382 mean_absolute_error 0.450358 mean_absolute_error 0.402308 mean_absolute_error 0.331973 mean_absolute_error 0.190645 mean_absolute_error 0.366391 mean_absolute_error 0.292592 mean_absolute_error 0.338273 mean_absolute_error 0.24745 mean_absolute_error 0.218685 mean_absolute_error 0.349179 mean_absolute_error 0.216405 mean_absolute_error 0.253395 mean_absolute_error 0.239773 mean_absolute_error 0.519876 mean_absolute_error 0.224899 mean_absolute_error 0.133725 mean_absolute_error 0.25319 mean_absolute_error 0.175678 mean_absolute_error 0.12998 mean_absolute_error 0.514023 mean_absolute_error 0.25258 mean_absolute_error 0.289927 mean_absolute_error 0.330383 mean_absolute_error 0.182349 mean_absolute_error 0.46805 mean_absolute_error 0.276365 mean_absolute_error 0.414056 mean_absolute_error 0.165878 mean_absolute_error 0.366562 mean_absolute_error 0.131975 mean_absolute_error 0.524361 mean_absolute_error 0.254431 mean_absolute_error 0.240002 mean_absolute_error 0.331716 mean_absolute_error 0.417138 mean_absolute_error 0.367531 mean_absolute_error 0.239565 mean_absolute_error 0.229292 mean_absolute_error 0.332233 mean_absolute_error 0.098956 mean_absolute_error 0.223166 mean_absolute_error 0.343103 mean_absolute_error 0.212957 mean_absolute_error 0.179354 mean_absolute_error 0.228742 mean_absolute_error 0.28583 mean_absolute_error 0.376954 mean_absolute_error 0.381799 mean_absolute_error 0.368399 mean_absolute_error 0.365143 mean_absolute_error 0.10078 mean_absolute_error 0.329871 mean_absolute_error 0.296126 mean_absolute_error 0.175678 mean_absolute_error 0.202007 mean_absolute_error 0.291527 mean_absolute_error 0.260162 mean_absolute_error 0.281682 mean_absolute_error 0.233484 mean_absolute_error 0.253395 mean_absolute_error 0.331769 mean_absolute_error 0.207803 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] precision 0.72 [0.6,0.8] precision 0.708333 [0.75,0.666667] precision 1 [1,1] precision 0.619048 [0.571429,0.666667] precision 0.92 [0.8,1] precision 0.916667 [1,0.833333] precision 1 [1,1] precision 0.8 [0.75,0.833333] precision 0.916667 [0.833333,1] precision 1 [1,1] precision 0.866667 [0.666667,1] precision 0.8 [0.8,0.8] precision 1 [1,1] precision 0.8125 [1,0.625] precision 0.85 [1,0.75] precision 0.8125 [1,0.625] precision 0.916667 [0.833333,1] precision 0.72 [0.6,0.8] precision 0.916667 [0.833333,1] precision 0.916667 [0.833333,1] precision 0.8 [0.75,0.833333] precision 0.916667 [1,0.833333] precision 0.777778 [0.555556,1] precision 0.8 [0.8,0.8] precision 0.8 [0.75,0.833333] precision 0.8 [0.8,0.8] precision 0.619048 [0.666667,0.571429] precision 0.85 [1,0.75] precision 0.916667 [1,0.833333] precision 0.6 [0.6,0.6] precision 0.575 [0.5,0.625] precision 0.777778 [1,0.555556] precision 0.708333 [0.666667,0.75] precision 0.916667 [0.833333,1] precision 0.92 [0.8,1] precision 0.619048 [0.571429,0.666667] precision 0.6 [0.6,0.6] precision 0.8 [0.5,1] precision 0.6 [0.6,0.6] precision 0.619048 [0.666667,0.571429] precision 0.72 [0.6,0.8] precision 0.916667 [1,0.833333] precision 0.708333 [0.75,0.666667] precision 0.8125 [1,0.625] precision 0.72 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.8 [0.8,0.8] precision 0.8 [0.75,0.833333] precision 0.857143 [1,0.714286] precision 0.708333 [0.75,0.666667] precision 0.8 [0.8,0.8] precision 0.52 [0.4,0.6] precision 0.914286 [1,0.857143] precision 1 [1,1] precision 0.857143 [0.714286,1] precision 0.92 [0.8,1] precision 1 [1,1] precision 0.4 [0.4,0.4] precision 0.8 [0.75,0.833333] precision 0.72 [0.6,0.8] precision 0.708333 [0.666667,0.75] precision 0.92 [0.8,1] precision 0.433333 [0.333333,0.5] precision 0.8 [0.75,0.833333] precision 0.619048 [0.571429,0.666667] precision 0.92 [0.8,1] precision 0.72 [0.6,0.8] precision 1 [1,1] precision 0.433333 [0.333333,0.5] precision 0.8 [0.75,0.833333] precision 0.857143 [1,0.714286] precision 0.72 [0.6,0.8] precision 0.65 [0.5,0.75] precision 0.72 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.92 [0.8,1] precision 0.8 [0.75,0.833333] precision 1 [1,1] precision 0.8 [0.75,0.833333] precision 0.828571 [0.571429,1] precision 0.857143 [1,0.714286] precision 0.92 [0.8,1] precision 0.8 [0.75,0.833333] precision 0.8 [0.75,0.833333] precision 0.619048 [0.666667,0.571429] precision 0.6 [0.5,0.666667] precision 0.72 [0.6,0.8] precision 0.708333 [0.75,0.666667] precision 1 [1,1] precision 0.695238 [0.666667,0.714286] precision 0.8 [0.8,0.8] precision 0.92 [0.8,1] precision 0.85 [1,0.75] precision 0.828571 [0.571429,1] precision 0.8 [0.8,0.8] precision 0.85 [1,0.75] precision 0.8 [0.75,0.833333] precision 0.708333 [0.75,0.666667] precision 0.8 [0.75,0.833333] precision 0.914286 [1,0.857143] predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 recall 0.7 [0.75,0.666667] recall 0.7 [0.6,0.8] recall 1 [1,1] recall 0.6 [0.8,0.4] recall 0.9 [1,0.833333] recall 0.9 [0.8,1] recall 1 [1,1] recall 0.8 [0.75,0.833333] recall 0.9 [1,0.8] recall 1 [1,1] recall 0.8 [1,0.666667] recall 0.8 [0.8,0.8] recall 1 [1,1] recall 0.7 [0.4,1] recall 0.8 [0.5,1] recall 0.7 [0.4,1] recall 0.9 [1,0.8] recall 0.7 [0.75,0.666667] recall 0.9 [1,0.8] recall 0.9 [1,0.8] recall 0.8 [0.75,0.833333] recall 0.9 [0.8,1] recall 0.6 [1,0.2] recall 0.8 [0.8,0.8] recall 0.8 [0.75,0.833333] recall 0.8 [0.8,0.8] recall 0.6 [0.4,0.8] recall 0.8 [0.5,1] recall 0.9 [0.8,1] recall 0.6 [0.6,0.6] recall 0.6 [0.25,0.833333] recall 0.6 [0.2,1] recall 0.7 [0.8,0.6] recall 0.9 [1,0.8] recall 0.9 [1,0.833333] recall 0.6 [0.8,0.4] recall 0.6 [0.6,0.6] recall 0.6 [1,0.333333] recall 0.6 [0.6,0.6] recall 0.6 [0.4,0.8] recall 0.7 [0.75,0.666667] recall 0.9 [0.8,1] recall 0.7 [0.6,0.8] recall 0.7 [0.4,1] recall 0.7 [0.75,0.666667] recall 0.8 [0.8,0.8] recall 0.8 [0.8,0.8] recall 0.8 [0.75,0.833333] recall 0.8 [0.6,1] recall 0.7 [0.6,0.8] recall 0.8 [0.8,0.8] recall 0.5 [0.5,0.5] recall 0.9 [0.75,1] recall 1 [1,1] recall 0.8 [1,0.6] recall 0.9 [1,0.833333] recall 1 [1,1] recall 0.4 [0.4,0.4] recall 0.8 [0.75,0.833333] recall 0.7 [0.75,0.666667] recall 0.7 [0.8,0.6] recall 0.9 [1,0.833333] recall 0.4 [0.5,0.333333] recall 0.8 [0.75,0.833333] recall 0.6 [0.8,0.4] recall 0.9 [1,0.833333] recall 0.7 [0.75,0.666667] recall 1 [1,1] recall 0.4 [0.5,0.333333] recall 0.8 [0.75,0.833333] recall 0.8 [0.6,1] recall 0.7 [0.75,0.666667] recall 0.6 [0.75,0.5] recall 0.7 [0.75,0.666667] recall 0.8 [0.8,0.8] recall 0.9 [1,0.833333] recall 0.8 [0.75,0.833333] recall 1 [1,1] recall 0.8 [0.75,0.833333] recall 0.7 [1,0.5] recall 0.8 [0.6,1] recall 0.9 [1,0.833333] recall 0.8 [0.75,0.833333] recall 0.8 [0.75,0.833333] recall 0.6 [0.4,0.8] recall 0.6 [0.5,0.666667] recall 0.7 [0.75,0.666667] recall 0.7 [0.6,0.8] recall 1 [1,1] recall 0.7 [0.5,0.833333] recall 0.8 [0.8,0.8] recall 0.9 [1,0.833333] recall 0.8 [0.5,1] recall 0.7 [1,0.5] recall 0.8 [0.8,0.8] recall 0.8 [0.5,1] recall 0.8 [0.75,0.833333] recall 0.7 [0.6,0.8] recall 0.8 [0.75,0.833333] recall 0.9 [0.75,1] relative_absolute_error 0.629849 relative_absolute_error 0.50679 relative_absolute_error 0.320631 relative_absolute_error 0.745173 relative_absolute_error 0.283201 relative_absolute_error 0.495364 relative_absolute_error 0.247516 relative_absolute_error 0.511996 relative_absolute_error 0.417131 relative_absolute_error 0.248905 relative_absolute_error 0.51858 relative_absolute_error 0.499411 relative_absolute_error 0.26395 relative_absolute_error 0.659073 relative_absolute_error 0.639552 relative_absolute_error 0.633301 relative_absolute_error 0.321015 relative_absolute_error 0.593915 relative_absolute_error 0.426588 relative_absolute_error 0.342844 relative_absolute_error 0.442139 relative_absolute_error 0.342843 relative_absolute_error 0.756344 relative_absolute_error 0.580656 relative_absolute_error 0.51005 relative_absolute_error 0.649409 relative_absolute_error 0.753909 relative_absolute_error 0.468563 relative_absolute_error 0.420118 relative_absolute_error 0.759673 relative_absolute_error 0.691756 relative_absolute_error 0.971362 relative_absolute_error 0.531797 relative_absolute_error 0.291588 relative_absolute_error 0.283201 relative_absolute_error 0.653286 relative_absolute_error 0.714743 relative_absolute_error 0.98406 relative_absolute_error 0.900717 relative_absolute_error 0.804616 relative_absolute_error 0.677225 relative_absolute_error 0.38129 relative_absolute_error 0.732783 relative_absolute_error 0.585184 relative_absolute_error 0.690077 relative_absolute_error 0.4949 relative_absolute_error 0.437369 relative_absolute_error 0.712326 relative_absolute_error 0.432811 relative_absolute_error 0.50679 relative_absolute_error 0.479547 relative_absolute_error 1.060547 relative_absolute_error 0.458794 relative_absolute_error 0.272798 relative_absolute_error 0.50638 relative_absolute_error 0.358384 relative_absolute_error 0.265159 relative_absolute_error 1.028046 relative_absolute_error 0.515264 relative_absolute_error 0.591451 relative_absolute_error 0.660767 relative_absolute_error 0.371991 relative_absolute_error 0.954823 relative_absolute_error 0.563784 relative_absolute_error 0.828112 relative_absolute_error 0.338392 relative_absolute_error 0.747787 relative_absolute_error 0.26395 relative_absolute_error 1.069697 relative_absolute_error 0.519039 relative_absolute_error 0.480004 relative_absolute_error 0.676701 relative_absolute_error 0.850961 relative_absolute_error 0.749763 relative_absolute_error 0.479131 relative_absolute_error 0.467755 relative_absolute_error 0.677754 relative_absolute_error 0.197912 relative_absolute_error 0.455259 relative_absolute_error 0.699931 relative_absolute_error 0.425914 relative_absolute_error 0.365883 relative_absolute_error 0.466634 relative_absolute_error 0.583094 relative_absolute_error 0.753909 relative_absolute_error 0.778871 relative_absolute_error 0.751534 relative_absolute_error 0.730285 relative_absolute_error 0.205591 relative_absolute_error 0.672938 relative_absolute_error 0.592251 relative_absolute_error 0.358384 relative_absolute_error 0.412095 relative_absolute_error 0.594716 relative_absolute_error 0.520324 relative_absolute_error 0.57463 relative_absolute_error 0.476307 relative_absolute_error 0.50679 relative_absolute_error 0.676809 relative_absolute_error 0.423918 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 root_mean_squared_error 0.440754 root_mean_squared_error 0.37798 root_mean_squared_error 0.236786 root_mean_squared_error 0.502525 root_mean_squared_error 0.230835 root_mean_squared_error 0.368268 root_mean_squared_error 0.191252 root_mean_squared_error 0.372744 root_mean_squared_error 0.290201 root_mean_squared_error 0.18905 root_mean_squared_error 0.393272 root_mean_squared_error 0.372569 root_mean_squared_error 0.170031 root_mean_squared_error 0.476908 root_mean_squared_error 0.418175 root_mean_squared_error 0.429448 root_mean_squared_error 0.221761 root_mean_squared_error 0.449639 root_mean_squared_error 0.349681 root_mean_squared_error 0.320986 root_mean_squared_error 0.346733 root_mean_squared_error 0.298512 root_mean_squared_error 0.534305 root_mean_squared_error 0.402658 root_mean_squared_error 0.418829 root_mean_squared_error 0.46805 root_mean_squared_error 0.544102 root_mean_squared_error 0.390304 root_mean_squared_error 0.337709 root_mean_squared_error 0.546111 root_mean_squared_error 0.48453 root_mean_squared_error 0.596978 root_mean_squared_error 0.396387 root_mean_squared_error 0.232342 root_mean_squared_error 0.230835 root_mean_squared_error 0.451426 root_mean_squared_error 0.501492 root_mean_squared_error 0.609549 root_mean_squared_error 0.612364 root_mean_squared_error 0.527963 root_mean_squared_error 0.476936 root_mean_squared_error 0.315026 root_mean_squared_error 0.532022 root_mean_squared_error 0.454499 root_mean_squared_error 0.48342 root_mean_squared_error 0.41808 root_mean_squared_error 0.3508 root_mean_squared_error 0.448133 root_mean_squared_error 0.365702 root_mean_squared_error 0.37798 root_mean_squared_error 0.405453 root_mean_squared_error 0.651033 root_mean_squared_error 0.341816 root_mean_squared_error 0.170574 root_mean_squared_error 0.380815 root_mean_squared_error 0.242109 root_mean_squared_error 0.175737 root_mean_squared_error 0.596376 root_mean_squared_error 0.372367 root_mean_squared_error 0.404175 root_mean_squared_error 0.474353 root_mean_squared_error 0.251029 root_mean_squared_error 0.558859 root_mean_squared_error 0.428121 root_mean_squared_error 0.526113 root_mean_squared_error 0.320462 root_mean_squared_error 0.532378 root_mean_squared_error 0.170031 root_mean_squared_error 0.627349 root_mean_squared_error 0.358224 root_mean_squared_error 0.321611 root_mean_squared_error 0.517602 root_mean_squared_error 0.565063 root_mean_squared_error 0.534963 root_mean_squared_error 0.359217 root_mean_squared_error 0.362327 root_mean_squared_error 0.437408 root_mean_squared_error 0.099582 root_mean_squared_error 0.341771 root_mean_squared_error 0.455729 root_mean_squared_error 0.343021 root_mean_squared_error 0.243821 root_mean_squared_error 0.368066 root_mean_squared_error 0.441702 root_mean_squared_error 0.544102 root_mean_squared_error 0.546593 root_mean_squared_error 0.456165 root_mean_squared_error 0.528794 root_mean_squared_error 0.101594 root_mean_squared_error 0.511509 root_mean_squared_error 0.409915 root_mean_squared_error 0.242109 root_mean_squared_error 0.347245 root_mean_squared_error 0.384835 root_mean_squared_error 0.395192 root_mean_squared_error 0.389177 root_mean_squared_error 0.40444 root_mean_squared_error 0.37798 root_mean_squared_error 0.445167 root_mean_squared_error 0.331418 root_relative_squared_error 0.894853 root_relative_squared_error 0.752353 root_relative_squared_error 0.471313 root_relative_squared_error 1.000254 root_relative_squared_error 0.468658 root_relative_squared_error 0.733021 root_relative_squared_error 0.380678 root_relative_squared_error 0.756773 root_relative_squared_error 0.577632 root_relative_squared_error 0.376296 root_relative_squared_error 0.798451 root_relative_squared_error 0.741582 root_relative_squared_error 0.338438 root_relative_squared_error 0.949265 root_relative_squared_error 0.849012 root_relative_squared_error 0.854798 root_relative_squared_error 0.441406 root_relative_squared_error 0.912892 root_relative_squared_error 0.696026 root_relative_squared_error 0.638909 root_relative_squared_error 0.703965 root_relative_squared_error 0.594176 root_relative_squared_error 1.063512 root_relative_squared_error 0.801473 root_relative_squared_error 0.850339 root_relative_squared_error 0.931633 root_relative_squared_error 1.083011 root_relative_squared_error 0.792426 root_relative_squared_error 0.672195 root_relative_squared_error 1.08701 root_relative_squared_error 0.98373 root_relative_squared_error 1.18826 root_relative_squared_error 0.788992 root_relative_squared_error 0.462467 root_relative_squared_error 0.468658 root_relative_squared_error 0.898543 root_relative_squared_error 0.998197 root_relative_squared_error 1.237554 root_relative_squared_error 1.218885 root_relative_squared_error 1.050887 root_relative_squared_error 0.968314 root_relative_squared_error 0.627047 root_relative_squared_error 1.058968 root_relative_squared_error 0.90466 root_relative_squared_error 0.981476 root_relative_squared_error 0.83217 root_relative_squared_error 0.698253 root_relative_squared_error 0.909834 root_relative_squared_error 0.727914 root_relative_squared_error 0.752353 root_relative_squared_error 0.807037 root_relative_squared_error 1.321777 root_relative_squared_error 0.693982 root_relative_squared_error 0.346312 root_relative_squared_error 0.757995 root_relative_squared_error 0.491549 root_relative_squared_error 0.356795 root_relative_squared_error 1.18706 root_relative_squared_error 0.756009 root_relative_squared_error 0.820588 root_relative_squared_error 0.944178 root_relative_squared_error 0.50966 root_relative_squared_error 1.134639 root_relative_squared_error 0.869205 root_relative_squared_error 1.047205 root_relative_squared_error 0.650626 root_relative_squared_error 1.080876 root_relative_squared_error 0.338438 root_relative_squared_error 1.273694 root_relative_squared_error 0.727294 root_relative_squared_error 0.640152 root_relative_squared_error 1.050876 root_relative_squared_error 1.147234 root_relative_squared_error 1.086124 root_relative_squared_error 0.715005 root_relative_squared_error 0.735625 root_relative_squared_error 0.88806 root_relative_squared_error 0.198214 root_relative_squared_error 0.69389 root_relative_squared_error 0.925256 root_relative_squared_error 0.682768 root_relative_squared_error 0.495024 root_relative_squared_error 0.747275 root_relative_squared_error 0.896778 root_relative_squared_error 1.083011 root_relative_squared_error 1.109736 root_relative_squared_error 0.926143 root_relative_squared_error 1.052542 root_relative_squared_error 0.206264 root_relative_squared_error 1.038506 root_relative_squared_error 0.815918 root_relative_squared_error 0.491549 root_relative_squared_error 0.705005 root_relative_squared_error 0.781321 root_relative_squared_error 0.786614 root_relative_squared_error 0.790137 root_relative_squared_error 0.821125 root_relative_squared_error 0.752353 root_relative_squared_error 0.903814 root_relative_squared_error 0.672871 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 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 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_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_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_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_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 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0