334557 2 Joaquin Vanschoren 4654 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 1115 teachingAssistant https://www.openml.org/data/download/53998/teachingAssistant.arff -1 1145948 description https://api.openml.org/data/download/1145948/weka_generated_run325768799143818729.xml -1 1145951 model_readable https://api.openml.org/data/download/1145951/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8630686060317053181.model -1 1145950 model_serialized https://api.openml.org/data/download/1145950/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE5766349310948497556.model -1 1145949 predictions https://api.openml.org/data/download/1145949/weka_generated_predictions150804164781792329.arff area_under_roc_curve 0.91921 [0.935681,0.901099,0.921104] average_cost 0 f_measure 0.790414 [0.838264,0.742349,0.791541] kappa 0.686261 kb_relative_information_score 1004.926334 mean_absolute_error 0.17038 mean_prior_absolute_error 0.444311 number_of_instances 1510 [490,500,520] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.792017 [0.811069,0.732943,0.830867] predictive_accuracy 0.790728 prior_entropy 1.584538 recall 0.790728 [0.867347,0.752,0.755769] relative_absolute_error 0.38347 root_mean_prior_squared_error 0.471332 root_mean_squared_error 0.316687 root_relative_squared_error 0.671898 scimark_benchmark 1331.004713 [799.3770405647658, 967.832724029716, 522.5020871626386, 1074.3606305428655, 3290.9510840119588] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.700284 [0.8,0.590909,0.708333] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.893182 [0.963636,0.854545,0.866667] area_under_roc_curve 0.863068 [0.763636,0.818182,0.983333] area_under_roc_curve 0.863636 [0.854545,0.909091,0.833333] area_under_roc_curve 0.855114 [0.8,0.836364,0.916667] area_under_roc_curve 0.930682 [0.927273,0.890909,0.966667] area_under_roc_curve 0.946023 [0.927273,1,0.916667] area_under_roc_curve 0.896023 [0.872727,0.854545,0.95] area_under_roc_curve 0.860795 [0.872727,0.781818,0.916667] area_under_roc_curve 0.893333 [0.94,0.84,0.9] area_under_roc_curve 0.979125 [0.977273,1,0.962963] area_under_roc_curve 0.948148 [1,1,0.87037] area_under_roc_curve 0.820202 [0.909091,0.8,0.777778] area_under_roc_curve 0.959259 [1,0.9,0.981481] area_under_roc_curve 0.813333 [0.82,0.78,0.84] area_under_roc_curve 0.966532 [0.977273,0.94,0.981481] area_under_roc_curve 0.826667 [0.84,0.72,0.92] area_under_roc_curve 0.933333 [1,0.84,0.96] area_under_roc_curve 0.905993 [0.886364,0.92,0.907407] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.92 [0.86,0.92,0.98] area_under_roc_curve 0.786667 [0.9,0.7,0.76] area_under_roc_curve 0.98 [0.98,1,0.96] area_under_roc_curve 0.86 [0.82,0.8,0.96] area_under_roc_curve 0.993333 [1,0.98,1] area_under_roc_curve 0.926667 [0.98,1,0.8] area_under_roc_curve 0.953333 [0.94,0.92,1] area_under_roc_curve 0.893333 [0.98,0.9,0.8] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.926667 [0.96,0.94,0.88] area_under_roc_curve 0.966667 [0.98,0.96,0.96] area_under_roc_curve 0.966667 [0.96,0.96,0.98] area_under_roc_curve 0.96 [0.96,0.92,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.86 [0.92,0.9,0.76] area_under_roc_curve 0.633333 [0.48,0.56,0.86] area_under_roc_curve 0.98 [1,0.98,0.96] area_under_roc_curve 0.926667 [1,0.84,0.94] area_under_roc_curve 0.913333 [0.96,0.8,0.98] area_under_roc_curve 0.886667 [0.92,0.78,0.96] area_under_roc_curve 0.893333 [0.9,0.88,0.9] area_under_roc_curve 0.94 [0.92,0.98,0.92] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.86 [0.74,0.84,1] area_under_roc_curve 0.873333 [1,0.8,0.82] area_under_roc_curve 0.953333 [1,0.94,0.92] area_under_roc_curve 0.973333 [0.97,0.97,0.98] area_under_roc_curve 0.92 [0.92,0.88,0.96] area_under_roc_curve 0.933333 [0.96,0.94,0.9] area_under_roc_curve 0.9 [1,0.92,0.78] area_under_roc_curve 0.84 [1,0.88,0.64] area_under_roc_curve 0.926667 [1,0.92,0.86] area_under_roc_curve 0.9 [0.92,0.88,0.9] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.726667 [0.8,0.56,0.82] area_under_roc_curve 0.973333 [1,0.94,0.98] area_under_roc_curve 0.98 [1,0.96,0.98] area_under_roc_curve 0.92 [0.9,0.9,0.96] area_under_roc_curve 0.993333 [1,1,0.98] area_under_roc_curve 0.953333 [1,0.98,0.88] area_under_roc_curve 0.96 [0.98,0.94,0.96] area_under_roc_curve 0.946667 [0.98,0.9,0.96] area_under_roc_curve 0.826667 [0.92,0.76,0.8] area_under_roc_curve 0.9 [0.98,0.88,0.84] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.96 [1,0.92,0.96] area_under_roc_curve 0.873333 [1,0.9,0.72] area_under_roc_curve 0.953333 [0.98,1,0.88] area_under_roc_curve 0.82 [0.9,0.82,0.74] area_under_roc_curve 0.826667 [0.86,0.8,0.82] area_under_roc_curve 0.826667 [0.78,0.72,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.966667 [1,0.94,0.96] area_under_roc_curve 0.946667 [1,0.92,0.92] area_under_roc_curve 0.993333 [1,1,0.98] area_under_roc_curve 0.9 [0.88,0.92,0.9] area_under_roc_curve 0.833333 [0.84,0.9,0.76] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.94 [0.92,1,0.9] area_under_roc_curve 0.88 [0.84,0.8,1] area_under_roc_curve 0.86 [0.88,0.84,0.86] area_under_roc_curve 0.886667 [0.9,0.9,0.86] area_under_roc_curve 0.946667 [1,0.94,0.9] area_under_roc_curve 0.933333 [0.96,0.92,0.92] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.933333 [0.88,0.92,1] area_under_roc_curve 0.933333 [0.94,0.86,1] area_under_roc_curve 0.926667 [0.98,0.84,0.96] area_under_roc_curve 0.906667 [0.92,0.86,0.94] area_under_roc_curve 0.993939 [0.977273,1,1] area_under_roc_curve 0.933333 [1,0.9,0.9] area_under_roc_curve 0.933333 [0.92,0.92,0.96] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.974545 [0.954545,0.96,1] area_under_roc_curve 0.886667 [0.88,0.8,0.98] area_under_roc_curve 0.880673 [0.863636,0.84,0.925926] area_under_roc_curve 0.981818 [0.931818,1,1] area_under_roc_curve 0.933333 [0.9,0.9,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.482323 [0.666667,0.222222,0.545455] f_measure 1 [1,1,1] f_measure 0.753739 [0.888889,0.6,0.769231] f_measure 0.491883 [0.545455,0,0.857143] f_measure 0.737689 [0.727273,0.833333,0.666667] f_measure 0.689394 [0.666667,0.666667,0.727273] f_measure 0.693182 [0.8,0.545455,0.727273] f_measure 0.9375 [0.909091,1,0.909091] f_measure 0.817551 [0.888889,0.727273,0.833333] f_measure 0.693291 [0.75,0.545455,0.769231] f_measure 0.670707 [0.8,0.545455,0.666667] f_measure 0.934007 [0.888889,1,0.909091] f_measure 0.711111 [0.666667,1,0.5] f_measure 0.600866 [0.571429,0.545455,0.666667] f_measure 0.866667 [1,0.8,0.833333] f_measure 0.794444 [0.833333,0.8,0.75] f_measure 0.856268 [0.888889,0.75,0.923077] f_measure 0.657239 [0.8,0.444444,0.727273] f_measure 0.670552 [0.909091,0.333333,0.769231] f_measure 0.673131 [0.6,0.666667,0.727273] f_measure 1 [1,1,1] f_measure 0.865993 [0.8,0.909091,0.888889] f_measure 0.668091 [0.888889,0.615385,0.5] f_measure 0.865993 [0.8,0.909091,0.888889] f_measure 0.678114 [0.545455,0.6,0.888889] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.771284 [0.909091,0.833333,0.571429] f_measure 0.865993 [0.888889,0.8,0.909091] f_measure 0.710678 [0.833333,0.727273,0.571429] f_measure 1 [1,1,1] f_measure 0.725253 [0.909091,0.666667,0.6] f_measure 0.805387 [0.888889,0.727273,0.8] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.856061 [0.909091,0.75,0.909091] f_measure 1 [1,1,1] f_measure 0.727778 [0.833333,0.75,0.6] f_measure 0.377778 [0,0.333333,0.8] f_measure 0.791919 [0.909091,0.8,0.666667] f_measure 0.79798 [1,0.666667,0.727273] f_measure 0.711111 [0.833333,0.5,0.8] f_measure 0.802707 [0.769231,0.75,0.888889] f_measure 0.655556 [0.8,0.666667,0.5] f_measure 0.805387 [0.727273,0.8,0.888889] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.796296 [0.666667,0.833333,0.888889] f_measure 0.574074 [0.833333,0.444444,0.444444] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.856061 [0.909091,0.75,0.909091] f_measure 0.796296 [0.888889,0.666667,0.833333] f_measure 0.740741 [0.888889,0.666667,0.666667] f_measure 0.791919 [0.909091,0.8,0.666667] f_measure 0.856061 [0.909091,0.909091,0.75] f_measure 0.795455 [0.909091,0.75,0.727273] f_measure 0.733333 [0.8,0.6,0.8] f_measure 0.771284 [0.909091,0.571429,0.833333] f_measure 0.516498 [0.6,0.222222,0.727273] f_measure 0.861111 [1,0.75,0.833333] f_measure 0.866667 [1,0.8,0.8] f_measure 0.731313 [0.8,0.727273,0.666667] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.866667 [1,0.8,0.8] f_measure 0.865993 [0.909091,0.888889,0.8] f_measure 0.856061 [0.909091,0.75,0.909091] f_measure 0.734848 [0.727273,0.727273,0.75] f_measure 0.722222 [0.833333,0.666667,0.666667] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.791919 [0.909091,0.666667,0.8] f_measure 0.856061 [0.909091,0.909091,0.75] f_measure 0.856061 [0.909091,0.909091,0.75] f_measure 0.590572 [0.727273,0.6,0.444444] f_measure 0.666667 [0.8,0.6,0.6] f_measure 0.6 [0.6,0.4,0.8] f_measure 1 [1,1,1] f_measure 0.79798 [1,0.727273,0.666667] f_measure 0.79798 [1,0.727273,0.666667] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.796296 [0.666667,0.833333,0.888889] f_measure 0.731313 [0.666667,0.8,0.727273] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.795455 [0.75,0.727273,0.909091] f_measure 0.734848 [0.727273,0.727273,0.75] f_measure 0.666667 [0.6,0.6,0.8] f_measure 0.865993 [0.909091,0.888889,0.8] f_measure 0.805387 [0.888889,0.727273,0.8] f_measure 0.856061 [0.909091,0.75,0.909091] f_measure 0.794444 [0.8,0.833333,0.75] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.728632 [0.769231,0.666667,0.75] f_measure 0.738721 [0.888889,0.6,0.727273] f_measure 0.931602 [0.857143,0.909091,1] f_measure 0.712121 [0.909091,0.5,0.727273] f_measure 0.740741 [0.888889,0.666667,0.666667] f_measure 1 [1,1,1] f_measure 0.791919 [0.909091,0.8,0.666667] f_measure 0.797778 [0.75,0.833333,0.8] f_measure 0.771284 [0.833333,0.571429,0.909091] f_measure 0.657143 [0.571429,0.714286,0.666667] f_measure 0.793795 [0.571429,0.833333,0.909091] f_measure 0.866667 [0.8,0.8,1] kappa 0.251462 kappa 1 kappa 0.621302 kappa 0.333333 kappa 0.630058 kappa 0.532164 kappa 0.532164 kappa 0.906433 kappa 0.717647 kappa 0.526627 kappa 0.5 kappa 0.9 kappa 0.615385 kappa 0.387755 kappa 0.797297 kappa 0.7 kappa 0.797297 kappa 0.5 kappa 0.6 kappa 0.503311 kappa 1 kappa 0.8 kappa 0.5 kappa 0.8 kappa 0.5 kappa 0.8 kappa 0.7 kappa 0.8 kappa 0.6 kappa 1 kappa 0.6 kappa 0.7 kappa 0.8 kappa 0.8 kappa 1 kappa 0.6 kappa 0.1 kappa 0.7 kappa 0.7 kappa 0.6 kappa 0.7 kappa 0.5 kappa 0.7 kappa 0.9 kappa 0.7 kappa 0.4 kappa 0.9 kappa 0.8 kappa 0.7 kappa 0.6 kappa 0.7 kappa 0.8 kappa 0.7 kappa 0.6 kappa 0.7 kappa 0.3 kappa 0.8 kappa 0.8 kappa 0.6 kappa 0.9 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.6 kappa 0.6 kappa 0.9 kappa 0.7 kappa 0.8 kappa 0.8 kappa 0.4 kappa 0.5 kappa 0.4 kappa 1 kappa 0.7 kappa 0.7 kappa 0.9 kappa 0.7 kappa 0.6 kappa 0.8 kappa 0.9 kappa 0.7 kappa 0.6 kappa 0.5 kappa 0.8 kappa 0.7 kappa 0.8 kappa 0.7 kappa 0.8 kappa 0.6 kappa 0.6 kappa 0.897959 kappa 0.6 kappa 0.6 kappa 1 kappa 0.7 kappa 0.7 kappa 0.7 kappa 0.5 kappa 0.695946 kappa 0.8 kb_relative_information_score 4.333535 kb_relative_information_score 14.31105 kb_relative_information_score 9.259004 kb_relative_information_score 7.219127 kb_relative_information_score 9.763324 kb_relative_information_score 8.491478 kb_relative_information_score 9.649225 kb_relative_information_score 12.995137 kb_relative_information_score 10.402632 kb_relative_information_score 8.476813 kb_relative_information_score 8.770669 kb_relative_information_score 12.816277 kb_relative_information_score 9.989028 kb_relative_information_score 6.692989 kb_relative_information_score 11.067104 kb_relative_information_score 8.900931 kb_relative_information_score 10.624205 kb_relative_information_score 8.144018 kb_relative_information_score 8.848711 kb_relative_information_score 8.52803 kb_relative_information_score 12.716812 kb_relative_information_score 9.988434 kb_relative_information_score 8.119939 kb_relative_information_score 11.724014 kb_relative_information_score 8.155008 kb_relative_information_score 11.390417 kb_relative_information_score 9.286538 kb_relative_information_score 11.237039 kb_relative_information_score 9.731048 kb_relative_information_score 13.999914 kb_relative_information_score 9.43717 kb_relative_information_score 10.836068 kb_relative_information_score 11.225273 kb_relative_information_score 10.853154 kb_relative_information_score 12.721587 kb_relative_information_score 8.038446 kb_relative_information_score 3.423083 kb_relative_information_score 10.489037 kb_relative_information_score 10.19767 kb_relative_information_score 9.967351 kb_relative_information_score 10.172461 kb_relative_information_score 8.067519 kb_relative_information_score 10.687722 kb_relative_information_score 12.888299 kb_relative_information_score 9.812901 kb_relative_information_score 7.662319 kb_relative_information_score 12.081102 kb_relative_information_score 10.502402 kb_relative_information_score 10.24159 kb_relative_information_score 8.77091 kb_relative_information_score 10.351508 kb_relative_information_score 10.588186 kb_relative_information_score 10.186266 kb_relative_information_score 9.119303 kb_relative_information_score 10.249573 kb_relative_information_score 5.02143 kb_relative_information_score 10.684737 kb_relative_information_score 11.377186 kb_relative_information_score 9.865579 kb_relative_information_score 12.740604 kb_relative_information_score 11.659603 kb_relative_information_score 10.993416 kb_relative_information_score 11.402762 kb_relative_information_score 8.252426 kb_relative_information_score 9.483919 kb_relative_information_score 11.83128 kb_relative_information_score 10.876509 kb_relative_information_score 10.800839 kb_relative_information_score 10.391712 kb_relative_information_score 6.904777 kb_relative_information_score 7.019937 kb_relative_information_score 7.032684 kb_relative_information_score 14.010569 kb_relative_information_score 9.640514 kb_relative_information_score 10.034781 kb_relative_information_score 12.161021 kb_relative_information_score 10.199436 kb_relative_information_score 8.695603 kb_relative_information_score 11.847619 kb_relative_information_score 11.209095 kb_relative_information_score 9.534736 kb_relative_information_score 9.398969 kb_relative_information_score 7.999349 kb_relative_information_score 11.000416 kb_relative_information_score 10.36972 kb_relative_information_score 12.296949 kb_relative_information_score 10.629432 kb_relative_information_score 11.639847 kb_relative_information_score 9.800371 kb_relative_information_score 9.357586 kb_relative_information_score 12.052534 kb_relative_information_score 9.030103 kb_relative_information_score 9.873342 kb_relative_information_score 12.353331 kb_relative_information_score 11.524737 kb_relative_information_score 10.651731 kb_relative_information_score 9.450572 kb_relative_information_score 8.29686 kb_relative_information_score 10.503968 kb_relative_information_score 10.820398 mean_absolute_error 0.353476 mean_absolute_error 0.066028 mean_absolute_error 0.212059 mean_absolute_error 0.260395 mean_absolute_error 0.199337 mean_absolute_error 0.235054 mean_absolute_error 0.189875 mean_absolute_error 0.107223 mean_absolute_error 0.177241 mean_absolute_error 0.232631 mean_absolute_error 0.20875 mean_absolute_error 0.080452 mean_absolute_error 0.16337 mean_absolute_error 0.265209 mean_absolute_error 0.135607 mean_absolute_error 0.214096 mean_absolute_error 0.152742 mean_absolute_error 0.227544 mean_absolute_error 0.204076 mean_absolute_error 0.209284 mean_absolute_error 0.094233 mean_absolute_error 0.181083 mean_absolute_error 0.228539 mean_absolute_error 0.111918 mean_absolute_error 0.226949 mean_absolute_error 0.126987 mean_absolute_error 0.197949 mean_absolute_error 0.131237 mean_absolute_error 0.176362 mean_absolute_error 0.045864 mean_absolute_error 0.181834 mean_absolute_error 0.135854 mean_absolute_error 0.132289 mean_absolute_error 0.147662 mean_absolute_error 0.091793 mean_absolute_error 0.233605 mean_absolute_error 0.3639 mean_absolute_error 0.151167 mean_absolute_error 0.164062 mean_absolute_error 0.168654 mean_absolute_error 0.165591 mean_absolute_error 0.226595 mean_absolute_error 0.149635 mean_absolute_error 0.081393 mean_absolute_error 0.179667 mean_absolute_error 0.236305 mean_absolute_error 0.111041 mean_absolute_error 0.146584 mean_absolute_error 0.16137 mean_absolute_error 0.203193 mean_absolute_error 0.159794 mean_absolute_error 0.154193 mean_absolute_error 0.162399 mean_absolute_error 0.198539 mean_absolute_error 0.160095 mean_absolute_error 0.326135 mean_absolute_error 0.148921 mean_absolute_error 0.127597 mean_absolute_error 0.167822 mean_absolute_error 0.082088 mean_absolute_error 0.118256 mean_absolute_error 0.14197 mean_absolute_error 0.128671 mean_absolute_error 0.225679 mean_absolute_error 0.18441 mean_absolute_error 0.119284 mean_absolute_error 0.142867 mean_absolute_error 0.153475 mean_absolute_error 0.163642 mean_absolute_error 0.270211 mean_absolute_error 0.259835 mean_absolute_error 0.262352 mean_absolute_error 0.045303 mean_absolute_error 0.184829 mean_absolute_error 0.168557 mean_absolute_error 0.107209 mean_absolute_error 0.16293 mean_absolute_error 0.21243 mean_absolute_error 0.109279 mean_absolute_error 0.145177 mean_absolute_error 0.185623 mean_absolute_error 0.189704 mean_absolute_error 0.226581 mean_absolute_error 0.135134 mean_absolute_error 0.157466 mean_absolute_error 0.090755 mean_absolute_error 0.149598 mean_absolute_error 0.116845 mean_absolute_error 0.175413 mean_absolute_error 0.185906 mean_absolute_error 0.106527 mean_absolute_error 0.2052 mean_absolute_error 0.169866 mean_absolute_error 0.109831 mean_absolute_error 0.117038 mean_absolute_error 0.14313 mean_absolute_error 0.192832 mean_absolute_error 0.219551 mean_absolute_error 0.149181 mean_absolute_error 0.148103 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 16 [5,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] precision 0.481696 [0.571429,0.25,0.6] precision 1 [1,1,1] precision 0.767857 [1,0.6,0.714286] precision 0.4375 [0.5,0,0.75] precision 0.806548 [0.666667,0.714286,1] precision 0.712946 [0.75,0.571429,0.8] precision 0.70625 [0.8,0.5,0.8] precision 0.947917 [0.833333,1,1] precision 0.833333 [1,0.666667,0.833333] precision 0.736607 [1,0.5,0.714286] precision 0.683333 [0.8,0.5,0.75] precision 0.946667 [0.8,1,1] precision 0.866667 [0.5,1,1] precision 0.611111 [0.666667,0.5,0.666667] precision 0.866667 [1,0.8,0.833333] precision 0.838095 [0.714286,0.8,1] precision 0.889524 [0.8,1,0.857143] precision 0.655556 [0.8,0.5,0.666667] precision 0.819444 [0.833333,1,0.625] precision 0.703333 [0.5,0.75,0.8] precision 1 [1,1,1] precision 0.877778 [0.8,0.833333,1] precision 0.722222 [1,0.5,0.666667] precision 0.877778 [0.8,0.833333,1] precision 0.7 [0.5,0.6,1] precision 0.904762 [1,0.714286,1] precision 0.849206 [0.833333,0.714286,1] precision 0.877778 [1,0.8,0.833333] precision 0.793651 [0.714286,0.666667,1] precision 1 [1,1,1] precision 0.727778 [0.833333,0.75,0.6] precision 0.822222 [1,0.666667,0.8] precision 0.904762 [1,0.714286,1] precision 0.888889 [0.833333,1,0.833333] precision 1 [1,1,1] precision 0.771429 [0.714286,1,0.6] precision 0.361905 [0,0.285714,0.8] precision 0.794444 [0.833333,0.8,0.75] precision 0.805556 [1,0.75,0.666667] precision 0.726984 [0.714286,0.666667,0.8] precision 0.875 [0.625,1,1] precision 0.679365 [0.8,0.571429,0.666667] precision 0.822222 [0.666667,0.8,1] precision 0.944444 [1,0.833333,1] precision 0.821429 [0.75,0.714286,1] precision 0.571429 [0.714286,0.5,0.5] precision 0.944444 [1,0.833333,1] precision 0.888889 [0.833333,1,0.833333] precision 0.821429 [1,0.75,0.714286] precision 0.77381 [1,0.571429,0.75] precision 0.794444 [0.833333,0.8,0.75] precision 0.888889 [0.833333,0.833333,1] precision 0.833333 [0.833333,1,0.666667] precision 0.733333 [0.8,0.6,0.8] precision 0.849206 [0.833333,1,0.714286] precision 0.505556 [0.6,0.25,0.666667] precision 0.904762 [1,1,0.714286] precision 0.866667 [1,0.8,0.8] precision 0.738889 [0.8,0.666667,0.75] precision 0.944444 [1,0.833333,1] precision 0.866667 [1,0.8,0.8] precision 0.877778 [0.833333,1,0.8] precision 0.888889 [0.833333,1,0.833333] precision 0.777778 [0.666667,0.666667,1] precision 0.738095 [0.714286,0.75,0.75] precision 0.944444 [0.833333,1,1] precision 0.794444 [0.833333,0.75,0.8] precision 0.888889 [0.833333,0.833333,1] precision 0.888889 [0.833333,0.833333,1] precision 0.588889 [0.666667,0.6,0.5] precision 0.666667 [0.8,0.6,0.6] precision 0.6 [0.6,0.4,0.8] precision 1 [1,1,1] precision 0.805556 [1,0.666667,0.75] precision 0.805556 [1,0.666667,0.75] precision 0.944444 [1,0.833333,1] precision 0.821429 [0.75,0.714286,1] precision 0.738889 [0.75,0.8,0.666667] precision 0.904762 [1,0.714286,1] precision 0.944444 [0.833333,1,1] precision 0.833333 [1,0.666667,0.833333] precision 0.777778 [0.666667,0.666667,1] precision 0.666667 [0.6,0.6,0.8] precision 0.877778 [0.833333,1,0.8] precision 0.822222 [1,0.666667,0.8] precision 0.888889 [0.833333,1,0.833333] precision 0.838095 [0.8,0.714286,1] precision 0.877778 [0.833333,0.8,1] precision 0.791667 [0.625,0.75,1] precision 0.755556 [1,0.6,0.666667] precision 0.944444 [1,0.833333,1] precision 0.722222 [0.833333,0.666667,0.666667] precision 0.77381 [1,0.571429,0.75] precision 1 [1,1,1] precision 0.794444 [0.833333,0.8,0.75] precision 0.838095 [0.75,0.714286,1] precision 0.849206 [0.714286,1,0.833333] precision 0.762963 [0.666667,0.555556,1] precision 0.815873 [0.666667,0.714286,1] precision 0.866667 [0.8,0.8,1] predictive_accuracy 0.5 predictive_accuracy 1 predictive_accuracy 0.75 predictive_accuracy 0.5625 predictive_accuracy 0.75 predictive_accuracy 0.6875 predictive_accuracy 0.6875 predictive_accuracy 0.9375 predictive_accuracy 0.8125 predictive_accuracy 0.6875 predictive_accuracy 0.666667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 1 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.733333 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.533333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 recall 0.5 [0.8,0.2,0.5] recall 1 [1,1,1] recall 0.75 [0.8,0.6,0.833333] recall 0.5625 [0.6,0,1] recall 0.75 [0.8,1,0.5] recall 0.6875 [0.6,0.8,0.666667] recall 0.6875 [0.8,0.6,0.666667] recall 0.9375 [1,1,0.833333] recall 0.8125 [0.8,0.8,0.833333] recall 0.6875 [0.6,0.6,0.833333] recall 0.666667 [0.8,0.6,0.6] recall 0.933333 [1,1,0.833333] recall 0.733333 [1,1,0.333333] recall 0.6 [0.5,0.6,0.666667] recall 0.866667 [1,0.8,0.833333] recall 0.8 [1,0.8,0.6] recall 0.866667 [1,0.6,1] recall 0.666667 [0.8,0.4,0.8] recall 0.733333 [1,0.2,1] recall 0.666667 [0.75,0.6,0.666667] recall 1 [1,1,1] recall 0.866667 [0.8,1,0.8] recall 0.666667 [0.8,0.8,0.4] recall 0.866667 [0.8,1,0.8] recall 0.666667 [0.6,0.6,0.8] recall 0.866667 [1,1,0.6] recall 0.8 [1,1,0.4] recall 0.866667 [0.8,0.8,1] recall 0.733333 [1,0.8,0.4] recall 1 [1,1,1] recall 0.733333 [1,0.6,0.6] recall 0.8 [0.8,0.8,0.8] recall 0.866667 [0.8,1,0.8] recall 0.866667 [1,0.6,1] recall 1 [1,1,1] recall 0.733333 [1,0.6,0.6] recall 0.4 [0,0.4,0.8] recall 0.8 [1,0.8,0.6] recall 0.8 [1,0.6,0.8] recall 0.733333 [1,0.4,0.8] recall 0.8 [1,0.6,0.8] recall 0.666667 [0.8,0.8,0.4] recall 0.8 [0.8,0.8,0.8] recall 0.933333 [1,1,0.8] recall 0.8 [0.6,1,0.8] recall 0.6 [1,0.4,0.4] recall 0.933333 [1,1,0.8] recall 0.866667 [1,0.6,1] recall 0.8 [0.8,0.6,1] recall 0.733333 [0.8,0.8,0.6] recall 0.8 [1,0.8,0.6] recall 0.866667 [1,1,0.6] recall 0.8 [1,0.6,0.8] recall 0.733333 [0.8,0.6,0.8] recall 0.8 [1,0.4,1] recall 0.533333 [0.6,0.2,0.8] recall 0.866667 [1,0.6,1] recall 0.866667 [1,0.8,0.8] recall 0.733333 [0.8,0.8,0.6] recall 0.933333 [1,1,0.8] recall 0.866667 [1,0.8,0.8] recall 0.866667 [1,0.8,0.8] recall 0.866667 [1,0.6,1] recall 0.733333 [0.8,0.8,0.6] recall 0.733333 [1,0.6,0.6] recall 0.933333 [1,1,0.8] recall 0.8 [1,0.6,0.8] recall 0.866667 [1,1,0.6] recall 0.866667 [1,1,0.6] recall 0.6 [0.8,0.6,0.4] recall 0.666667 [0.8,0.6,0.6] recall 0.6 [0.6,0.4,0.8] recall 1 [1,1,1] recall 0.8 [1,0.8,0.6] recall 0.8 [1,0.8,0.6] recall 0.933333 [1,1,0.8] recall 0.8 [0.6,1,0.8] recall 0.733333 [0.6,0.8,0.8] recall 0.866667 [0.8,1,0.8] recall 0.933333 [1,1,0.8] recall 0.8 [0.6,0.8,1] recall 0.733333 [0.8,0.8,0.6] recall 0.666667 [0.6,0.6,0.8] recall 0.866667 [1,0.8,0.8] recall 0.8 [0.8,0.8,0.8] recall 0.866667 [1,0.6,1] recall 0.8 [0.8,1,0.6] recall 0.866667 [1,0.8,0.8] recall 0.733333 [1,0.6,0.6] recall 0.733333 [0.8,0.6,0.8] recall 0.933333 [0.75,1,1] recall 0.733333 [1,0.4,0.8] recall 0.733333 [0.8,0.8,0.6] recall 1 [1,1,1] recall 0.8 [1,0.8,0.6] recall 0.8 [0.75,1,0.666667] recall 0.8 [1,0.4,1] recall 0.666667 [0.5,1,0.5] recall 0.8 [0.5,1,0.833333] recall 0.866667 [0.8,0.8,1] relative_absolute_error 0.796129 relative_absolute_error 0.148714 relative_absolute_error 0.477618 relative_absolute_error 0.586485 relative_absolute_error 0.448963 relative_absolute_error 0.529408 relative_absolute_error 0.427653 relative_absolute_error 0.241497 relative_absolute_error 0.399196 relative_absolute_error 0.52395 relative_absolute_error 0.469688 relative_absolute_error 0.181371 relative_absolute_error 0.368299 relative_absolute_error 0.597884 relative_absolute_error 0.305712 relative_absolute_error 0.481716 relative_absolute_error 0.34434 relative_absolute_error 0.511973 relative_absolute_error 0.45917 relative_absolute_error 0.471807 relative_absolute_error 0.212025 relative_absolute_error 0.407438 relative_absolute_error 0.514213 relative_absolute_error 0.251815 relative_absolute_error 0.510635 relative_absolute_error 0.285722 relative_absolute_error 0.445386 relative_absolute_error 0.295283 relative_absolute_error 0.396815 relative_absolute_error 0.103193 relative_absolute_error 0.409127 relative_absolute_error 0.305671 relative_absolute_error 0.29765 relative_absolute_error 0.332238 relative_absolute_error 0.206535 relative_absolute_error 0.525612 relative_absolute_error 0.818776 relative_absolute_error 0.340125 relative_absolute_error 0.369139 relative_absolute_error 0.37947 relative_absolute_error 0.372579 relative_absolute_error 0.509838 relative_absolute_error 0.336678 relative_absolute_error 0.183134 relative_absolute_error 0.40425 relative_absolute_error 0.531687 relative_absolute_error 0.249842 relative_absolute_error 0.329815 relative_absolute_error 0.363081 relative_absolute_error 0.457183 relative_absolute_error 0.359537 relative_absolute_error 0.346933 relative_absolute_error 0.365397 relative_absolute_error 0.446714 relative_absolute_error 0.360213 relative_absolute_error 0.733805 relative_absolute_error 0.335072 relative_absolute_error 0.287094 relative_absolute_error 0.377599 relative_absolute_error 0.184698 relative_absolute_error 0.266076 relative_absolute_error 0.319432 relative_absolute_error 0.289509 relative_absolute_error 0.507778 relative_absolute_error 0.414923 relative_absolute_error 0.268388 relative_absolute_error 0.32145 relative_absolute_error 0.345319 relative_absolute_error 0.368194 relative_absolute_error 0.607975 relative_absolute_error 0.584629 relative_absolute_error 0.590292 relative_absolute_error 0.101932 relative_absolute_error 0.415865 relative_absolute_error 0.379253 relative_absolute_error 0.24122 relative_absolute_error 0.366592 relative_absolute_error 0.477967 relative_absolute_error 0.245878 relative_absolute_error 0.326649 relative_absolute_error 0.417651 relative_absolute_error 0.426833 relative_absolute_error 0.509808 relative_absolute_error 0.304052 relative_absolute_error 0.354298 relative_absolute_error 0.204199 relative_absolute_error 0.336595 relative_absolute_error 0.262902 relative_absolute_error 0.39468 relative_absolute_error 0.418288 relative_absolute_error 0.240154 relative_absolute_error 0.4617 relative_absolute_error 0.382199 relative_absolute_error 0.247119 relative_absolute_error 0.263335 relative_absolute_error 0.322671 relative_absolute_error 0.433873 relative_absolute_error 0.494953 relative_absolute_error 0.336313 relative_absolute_error 0.333232 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_squared_error 0.482014 root_mean_squared_error 0.110858 root_mean_squared_error 0.347779 root_mean_squared_error 0.408009 root_mean_squared_error 0.360065 root_mean_squared_error 0.394188 root_mean_squared_error 0.327895 root_mean_squared_error 0.224984 root_mean_squared_error 0.330043 root_mean_squared_error 0.423874 root_mean_squared_error 0.379085 root_mean_squared_error 0.21063 root_mean_squared_error 0.28903 root_mean_squared_error 0.450425 root_mean_squared_error 0.249457 root_mean_squared_error 0.359615 root_mean_squared_error 0.273336 root_mean_squared_error 0.394431 root_mean_squared_error 0.36405 root_mean_squared_error 0.388978 root_mean_squared_error 0.148076 root_mean_squared_error 0.316934 root_mean_squared_error 0.409017 root_mean_squared_error 0.246442 root_mean_squared_error 0.373156 root_mean_squared_error 0.228593 root_mean_squared_error 0.325925 root_mean_squared_error 0.265511 root_mean_squared_error 0.341721 root_mean_squared_error 0.071962 root_mean_squared_error 0.340955 root_mean_squared_error 0.277434 root_mean_squared_error 0.265647 root_mean_squared_error 0.28319 root_mean_squared_error 0.153844 root_mean_squared_error 0.375236 root_mean_squared_error 0.508747 root_mean_squared_error 0.302821 root_mean_squared_error 0.325477 root_mean_squared_error 0.323983 root_mean_squared_error 0.312234 root_mean_squared_error 0.360846 root_mean_squared_error 0.288338 root_mean_squared_error 0.142853 root_mean_squared_error 0.337575 root_mean_squared_error 0.371974 root_mean_squared_error 0.232736 root_mean_squared_error 0.25984 root_mean_squared_error 0.322496 root_mean_squared_error 0.337542 root_mean_squared_error 0.305785 root_mean_squared_error 0.305594 root_mean_squared_error 0.302031 root_mean_squared_error 0.372685 root_mean_squared_error 0.296666 root_mean_squared_error 0.484077 root_mean_squared_error 0.283275 root_mean_squared_error 0.240762 root_mean_squared_error 0.31882 root_mean_squared_error 0.175017 root_mean_squared_error 0.242904 root_mean_squared_error 0.262955 root_mean_squared_error 0.258512 root_mean_squared_error 0.396095 root_mean_squared_error 0.352218 root_mean_squared_error 0.191644 root_mean_squared_error 0.283731 root_mean_squared_error 0.301451 root_mean_squared_error 0.297767 root_mean_squared_error 0.407839 root_mean_squared_error 0.417104 root_mean_squared_error 0.436364 root_mean_squared_error 0.068849 root_mean_squared_error 0.278637 root_mean_squared_error 0.305138 root_mean_squared_error 0.180531 root_mean_squared_error 0.330666 root_mean_squared_error 0.372107 root_mean_squared_error 0.233579 root_mean_squared_error 0.256515 root_mean_squared_error 0.348411 root_mean_squared_error 0.357351 root_mean_squared_error 0.376917 root_mean_squared_error 0.289965 root_mean_squared_error 0.337075 root_mean_squared_error 0.195737 root_mean_squared_error 0.312509 root_mean_squared_error 0.255533 root_mean_squared_error 0.322769 root_mean_squared_error 0.336177 root_mean_squared_error 0.196355 root_mean_squared_error 0.334253 root_mean_squared_error 0.319151 root_mean_squared_error 0.158059 root_mean_squared_error 0.216733 root_mean_squared_error 0.333507 root_mean_squared_error 0.34784 root_mean_squared_error 0.376755 root_mean_squared_error 0.247498 root_mean_squared_error 0.278821 root_relative_squared_error 1.023395 root_relative_squared_error 0.235369 root_relative_squared_error 0.73839 root_relative_squared_error 0.866268 root_relative_squared_error 0.764476 root_relative_squared_error 0.836926 root_relative_squared_error 0.696174 root_relative_squared_error 0.477677 root_relative_squared_error 0.700736 root_relative_squared_error 0.899952 root_relative_squared_error 0.804042 root_relative_squared_error 0.447621 root_relative_squared_error 0.614232 root_relative_squared_error 0.957221 root_relative_squared_error 0.530133 root_relative_squared_error 0.762746 root_relative_squared_error 0.58088 root_relative_squared_error 0.836591 root_relative_squared_error 0.772153 root_relative_squared_error 0.826636 root_relative_squared_error 0.31407 root_relative_squared_error 0.672219 root_relative_squared_error 0.867527 root_relative_squared_error 0.522705 root_relative_squared_error 0.791467 root_relative_squared_error 0.484848 root_relative_squared_error 0.691289 root_relative_squared_error 0.56315 root_relative_squared_error 0.724793 root_relative_squared_error 0.152631 root_relative_squared_error 0.723168 root_relative_squared_error 0.588439 root_relative_squared_error 0.563439 root_relative_squared_error 0.600649 root_relative_squared_error 0.326304 root_relative_squared_error 0.795877 root_relative_squared_error 1.079056 root_relative_squared_error 0.642285 root_relative_squared_error 0.690339 root_relative_squared_error 0.687171 root_relative_squared_error 0.662251 root_relative_squared_error 0.765357 root_relative_squared_error 0.611567 root_relative_squared_error 0.302992 root_relative_squared_error 0.716 root_relative_squared_error 0.788959 root_relative_squared_error 0.493635 root_relative_squared_error 0.551122 root_relative_squared_error 0.684017 root_relative_squared_error 0.715929 root_relative_squared_error 0.648572 root_relative_squared_error 0.648167 root_relative_squared_error 0.640609 root_relative_squared_error 0.790468 root_relative_squared_error 0.62923 root_relative_squared_error 1.026731 root_relative_squared_error 0.600828 root_relative_squared_error 0.510659 root_relative_squared_error 0.67622 root_relative_squared_error 0.371212 root_relative_squared_error 0.515201 root_relative_squared_error 0.557729 root_relative_squared_error 0.548306 root_relative_squared_error 0.840121 root_relative_squared_error 0.747057 root_relative_squared_error 0.406477 root_relative_squared_error 0.601795 root_relative_squared_error 0.63938 root_relative_squared_error 0.631565 root_relative_squared_error 0.86503 root_relative_squared_error 0.88468 root_relative_squared_error 0.925532 root_relative_squared_error 0.146028 root_relative_squared_error 0.59099 root_relative_squared_error 0.647199 root_relative_squared_error 0.382908 root_relative_squared_error 0.701345 root_relative_squared_error 0.789242 root_relative_squared_error 0.495423 root_relative_squared_error 0.54407 root_relative_squared_error 0.738981 root_relative_squared_error 0.757945 root_relative_squared_error 0.799443 root_relative_squared_error 0.615018 root_relative_squared_error 0.714939 root_relative_squared_error 0.41516 root_relative_squared_error 0.662835 root_relative_squared_error 0.541987 root_relative_squared_error 0.684595 root_relative_squared_error 0.713034 root_relative_squared_error 0.417284 root_relative_squared_error 0.708954 root_relative_squared_error 0.676922 root_relative_squared_error 0.335245 root_relative_squared_error 0.459693 root_relative_squared_error 0.708753 root_relative_squared_error 0.737771 root_relative_squared_error 0.80066 root_relative_squared_error 0.52597 root_relative_squared_error 0.591381 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 10 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 10 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 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