349478 2 Joaquin Vanschoren 4350 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_3.7.12 779 fri_c1_500_25 https://www.openml.org/data/download/53313/fri_c1_500_25.arff -1 1204046 description https://api.openml.org/data/download/1204046/weka_generated_run1082859178290301982.xml -1 1204049 model_readable https://api.openml.org/data/download/1204049/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2569162706381998950.model -1 1204048 model_serialized https://api.openml.org/data/download/1204048/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1101209250104325798.model -1 1204047 predictions https://api.openml.org/data/download/1204047/weka_generated_predictions8806435752119831048.arff area_under_roc_curve 0.914548 [0.914548,0.914548] average_cost 0 f_measure 0.834254 [0.814815,0.851217] kappa 0.666599 kb_relative_information_score 2817.499064 mean_absolute_error 0.228494 mean_prior_absolute_error 0.497697 number_of_instances 5000 [2330,2670] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.836363 [0.854118,0.82087] predictive_accuracy 0.835 prior_entropy 0.996688 recall 0.835 [0.77897,0.883895] relative_absolute_error 0.459103 root_mean_prior_squared_error 0.498843 root_mean_squared_error 0.340709 root_relative_squared_error 0.682999 scimark_benchmark 1354.553289 [819.2769761350231, 1013.9200573100866, 523.7765116954197, 1070.4124649172252, 3345.380432870794] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.885668 [0.885668,0.885668] area_under_roc_curve 0.951691 [0.951691,0.951691] area_under_roc_curve 0.885668 [0.885668,0.885668] area_under_roc_curve 0.937198 [0.937198,0.937198] area_under_roc_curve 0.941506 [0.941506,0.941506] area_under_roc_curve 0.902576 [0.902576,0.902576] area_under_roc_curve 0.979871 [0.979871,0.979871] area_under_roc_curve 0.898237 [0.898237,0.898237] area_under_roc_curve 0.89211 [0.89211,0.89211] area_under_roc_curve 0.932367 [0.932367,0.932367] area_under_roc_curve 0.898551 [0.898551,0.898551] area_under_roc_curve 0.86876 [0.86876,0.86876] area_under_roc_curve 0.954106 [0.954106,0.954106] area_under_roc_curve 0.938808 [0.938808,0.938808] area_under_roc_curve 0.858173 [0.858173,0.858173] area_under_roc_curve 0.850242 [0.850242,0.850242] area_under_roc_curve 0.91868 [0.91868,0.91868] area_under_roc_curve 0.896635 [0.896635,0.896635] area_under_roc_curve 0.966989 [0.966989,0.966989] area_under_roc_curve 0.938808 [0.938808,0.938808] area_under_roc_curve 0.943639 [0.943639,0.943639] area_under_roc_curve 0.994364 [0.994364,0.994364] area_under_roc_curve 0.957327 [0.957327,0.957327] area_under_roc_curve 0.939614 [0.939614,0.939614] area_under_roc_curve 0.879808 [0.879808,0.879808] area_under_roc_curve 0.924316 [0.924316,0.924316] area_under_roc_curve 0.902576 [0.902576,0.902576] area_under_roc_curve 0.956731 [0.956731,0.956731] area_under_roc_curve 0.849436 [0.849436,0.849436] area_under_roc_curve 0.94525 [0.94525,0.94525] area_under_roc_curve 0.932367 [0.932367,0.932367] area_under_roc_curve 0.937198 [0.937198,0.937198] area_under_roc_curve 0.905797 [0.905797,0.905797] area_under_roc_curve 0.877617 [0.877617,0.877617] area_under_roc_curve 0.951691 [0.951691,0.951691] area_under_roc_curve 0.91868 [0.91868,0.91868] area_under_roc_curve 0.952496 [0.952496,0.952496] area_under_roc_curve 0.891304 [0.891304,0.891304] area_under_roc_curve 0.941224 [0.941224,0.941224] area_under_roc_curve 0.892915 [0.892915,0.892915] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.854267 [0.854267,0.854267] area_under_roc_curve 0.907407 [0.907407,0.907407] area_under_roc_curve 0.950886 [0.950886,0.950886] area_under_roc_curve 0.925121 [0.925121,0.925121] area_under_roc_curve 0.91868 [0.91868,0.91868] area_under_roc_curve 0.932367 [0.932367,0.932367] area_under_roc_curve 0.982287 [0.982287,0.982287] area_under_roc_curve 0.954106 [0.954106,0.954106] area_under_roc_curve 0.958132 [0.958132,0.958132] area_under_roc_curve 0.955717 [0.955717,0.955717] area_under_roc_curve 0.957327 [0.957327,0.957327] area_under_roc_curve 0.94847 [0.94847,0.94847] area_under_roc_curve 0.924316 [0.924316,0.924316] area_under_roc_curve 0.906602 [0.906602,0.906602] area_under_roc_curve 0.975845 [0.975845,0.975845] area_under_roc_curve 0.925926 [0.925926,0.925926] area_under_roc_curve 0.871176 [0.871176,0.871176] area_under_roc_curve 0.956522 [0.956522,0.956522] area_under_roc_curve 0.909823 [0.909823,0.909823] area_under_roc_curve 0.976651 [0.976651,0.976651] area_under_roc_curve 0.871176 [0.871176,0.871176] area_under_roc_curve 0.86876 [0.86876,0.86876] area_under_roc_curve 0.932367 [0.932367,0.932367] area_under_roc_curve 0.917069 [0.917069,0.917069] area_under_roc_curve 0.933172 [0.933172,0.933172] area_under_roc_curve 0.885668 [0.885668,0.885668] area_under_roc_curve 0.97504 [0.97504,0.97504] area_under_roc_curve 0.970209 [0.970209,0.970209] area_under_roc_curve 0.927536 [0.927536,0.927536] area_under_roc_curve 0.902244 [0.902244,0.902244] area_under_roc_curve 0.956731 [0.956731,0.956731] area_under_roc_curve 0.869391 [0.869391,0.869391] area_under_roc_curve 0.78125 [0.78125,0.78125] area_under_roc_curve 0.946055 [0.946055,0.946055] area_under_roc_curve 0.971955 [0.971955,0.971955] area_under_roc_curve 0.915064 [0.915064,0.915064] area_under_roc_curve 0.901771 [0.901771,0.901771] area_under_roc_curve 0.931891 [0.931891,0.931891] area_under_roc_curve 0.870994 [0.870994,0.870994] area_under_roc_curve 0.909455 [0.909455,0.909455] area_under_roc_curve 0.805288 [0.805288,0.805288] area_under_roc_curve 0.983173 [0.983173,0.983173] area_under_roc_curve 0.947917 [0.947917,0.947917] area_under_roc_curve 0.907407 [0.907407,0.907407] area_under_roc_curve 0.879006 [0.879006,0.879006] area_under_roc_curve 0.88141 [0.88141,0.88141] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.808494 [0.808494,0.808494] area_under_roc_curve 0.863782 [0.863782,0.863782] area_under_roc_curve 0.952724 [0.952724,0.952724] area_under_roc_curve 0.907853 [0.907853,0.907853] area_under_roc_curve 0.943109 [0.943109,0.943109] area_under_roc_curve 0.918269 [0.918269,0.918269] area_under_roc_curve 0.942029 [0.942029,0.942029] area_under_roc_curve 0.928686 [0.928686,0.928686] area_under_roc_curve 0.870994 [0.870994,0.870994] area_under_roc_curve 0.925926 [0.925926,0.925926] area_under_roc_curve 0.933494 [0.933494,0.933494] area_under_roc_curve 0.96234 [0.96234,0.96234] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.778115 [0.744186,0.807018] f_measure 0.939879 [0.933333,0.945455] f_measure 0.820216 [0.816327,0.823529] f_measure 0.839221 [0.818182,0.857143] f_measure 0.859152 [0.844444,0.872727] f_measure 0.778115 [0.744186,0.807018] f_measure 0.880192 [0.875,0.884615] f_measure 0.776858 [0.744186,0.807018] f_measure 0.797373 [0.761905,0.827586] f_measure 0.860169 [0.851064,0.867925] f_measure 0.820216 [0.816327,0.823529] f_measure 0.775907 [0.731707,0.813559] f_measure 0.899798 [0.888889,0.909091] f_measure 0.878424 [0.857143,0.896552] f_measure 0.757662 [0.727273,0.785714] f_measure 0.818458 [0.790698,0.842105] f_measure 0.797373 [0.761905,0.827586] f_measure 0.759227 [0.73913,0.777778] f_measure 0.92 [0.92,0.92] f_measure 0.814174 [0.769231,0.852459] f_measure 0.839221 [0.818182,0.857143] f_measure 0.918949 [0.904762,0.931034] f_measure 0.878424 [0.857143,0.896552] f_measure 0.839221 [0.818182,0.857143] f_measure 0.84 [0.84,0.84] f_measure 0.84 [0.826087,0.851852] f_measure 0.797373 [0.761905,0.827586] f_measure 0.878831 [0.863636,0.892857] f_measure 0.708591 [0.631579,0.774194] f_measure 0.877 [0.85,0.9] f_measure 0.880192 [0.875,0.884615] f_measure 0.878424 [0.857143,0.896552] f_measure 0.735163 [0.682927,0.779661] f_measure 0.780265 [0.765957,0.792453] f_measure 0.85882 [0.867925,0.851064] f_measure 0.91961 [0.909091,0.928571] f_measure 0.90012 [0.893617,0.90566] f_measure 0.837898 [0.809524,0.862069] f_measure 0.8588 [0.837209,0.877193] f_measure 0.819636 [0.8,0.836364] f_measure 0.8588 [0.837209,0.877193] f_measure 0.799038 [0.807692,0.791667] f_measure 0.837898 [0.809524,0.862069] f_measure 0.90012 [0.893617,0.90566] f_measure 0.816652 [0.780488,0.847458] f_measure 0.819636 [0.8,0.836364] f_measure 0.837898 [0.809524,0.862069] f_measure 0.92 [0.913043,0.925926] f_measure 0.880192 [0.875,0.884615] f_measure 0.899798 [0.888889,0.909091] f_measure 0.857396 [0.829268,0.881356] f_measure 0.877 [0.85,0.9] f_measure 0.836 [0.8,0.866667] f_measure 0.839221 [0.818182,0.857143] f_measure 0.820217 [0.808511,0.830189] f_measure 0.899143 [0.883721,0.912281] f_measure 0.91961 [0.909091,0.928571] f_measure 0.708591 [0.631579,0.774194] f_measure 0.840256 [0.833333,0.846154] f_measure 0.88 [0.869565,0.888889] f_measure 0.91961 [0.909091,0.928571] f_measure 0.780265 [0.765957,0.792453] f_measure 0.737772 [0.697674,0.77193] f_measure 0.839221 [0.818182,0.857143] f_measure 0.816652 [0.780488,0.847458] f_measure 0.84 [0.826087,0.851852] f_measure 0.797373 [0.761905,0.827586] f_measure 0.939879 [0.933333,0.945455] f_measure 0.90012 [0.893617,0.90566] f_measure 0.840256 [0.833333,0.846154] f_measure 0.84 [0.833333,0.846154] f_measure 0.92 [0.916667,0.923077] f_measure 0.779735 [0.765957,0.792453] f_measure 0.757662 [0.727273,0.785714] f_measure 0.775907 [0.731707,0.813559] f_measure 0.92 [0.916667,0.923077] f_measure 0.747776 [0.684211,0.806452] f_measure 0.820216 [0.816327,0.823529] f_measure 0.798052 [0.772727,0.821429] f_measure 0.733229 [0.682927,0.779661] f_measure 0.776858 [0.744186,0.807018] f_measure 0.698182 [0.666667,0.727273] f_measure 0.919742 [0.913043,0.925926] f_measure 0.838442 [0.818182,0.857143] f_measure 0.899143 [0.883721,0.912281] f_measure 0.687516 [0.615385,0.754098] f_measure 0.819784 [0.823529,0.816327] f_measure 0.799026 [0.772727,0.821429] f_measure 0.617697 [0.577778,0.654545] f_measure 0.818909 [0.8,0.836364] f_measure 0.858001 [0.837209,0.877193] f_measure 0.8 [0.791667,0.807692] f_measure 0.92 [0.92,0.92] f_measure 0.839485 [0.826087,0.851852] f_measure 0.899143 [0.883721,0.912281] f_measure 0.819783 [0.808511,0.830189] f_measure 0.778667 [0.755556,0.8] f_measure 0.860169 [0.851064,0.867925] f_measure 0.858001 [0.837209,0.877193] f_measure 0.819783 [0.808511,0.830189] kappa 0.552846 kappa 0.878837 kappa 0.641148 kappa 0.675851 kappa 0.718196 kappa 0.552846 kappa 0.76 kappa 0.555735 kappa 0.59217 kappa 0.719101 kappa 0.641148 kappa 0.549918 kappa 0.798061 kappa 0.755302 kappa 0.516129 kappa 0.634146 kappa 0.59217 kappa 0.517685 kappa 0.841017 kappa 0.629325 kappa 0.675851 kappa 0.836868 kappa 0.755302 kappa 0.675851 kappa 0.680511 kappa 0.677939 kappa 0.59217 kappa 0.758065 kappa 0.421488 kappa 0.753695 kappa 0.76 kappa 0.755302 kappa 0.468085 kappa 0.558587 kappa 0.724409 kappa 0.837925 kappa 0.799358 kappa 0.673736 kappa 0.715447 kappa 0.636511 kappa 0.715447 kappa 0.605055 kappa 0.673736 kappa 0.799358 kappa 0.631751 kappa 0.636511 kappa 0.673736 kappa 0.838969 kappa 0.76 kappa 0.798061 kappa 0.713584 kappa 0.753695 kappa 0.671593 kappa 0.675851 kappa 0.638844 kappa 0.796748 kappa 0.837925 kappa 0.421488 kappa 0.68 kappa 0.758454 kappa 0.837925 kappa 0.558587 kappa 0.471545 kappa 0.675851 kappa 0.631751 kappa 0.677939 kappa 0.59217 kappa 0.878837 kappa 0.799358 kappa 0.68 kappa 0.679487 kappa 0.839744 kappa 0.558587 kappa 0.516129 kappa 0.549918 kappa 0.839744 kappa 0.511401 kappa 0.641148 kappa 0.596774 kappa 0.473258 kappa 0.555735 kappa 0.396135 kappa 0.839228 kappa 0.677419 kappa 0.796748 kappa 0.390244 kappa 0.641148 kappa 0.594814 kappa 0.235105 kappa 0.637681 kappa 0.717286 kappa 0.599359 kappa 0.840256 kappa 0.678457 kappa 0.796748 kappa 0.638844 kappa 0.557166 kappa 0.719101 kappa 0.717286 kappa 0.638844 kb_relative_information_score 25.033551 kb_relative_information_score 33.619201 kb_relative_information_score 23.607897 kb_relative_information_score 31.578247 kb_relative_information_score 31.687523 kb_relative_information_score 26.369287 kb_relative_information_score 33.568185 kb_relative_information_score 26.886449 kb_relative_information_score 27.161044 kb_relative_information_score 31.94597 kb_relative_information_score 23.984352 kb_relative_information_score 23.186363 kb_relative_information_score 32.107723 kb_relative_information_score 30.77184 kb_relative_information_score 22.649111 kb_relative_information_score 24.104659 kb_relative_information_score 27.467411 kb_relative_information_score 23.896732 kb_relative_information_score 32.762841 kb_relative_information_score 28.730285 kb_relative_information_score 31.135565 kb_relative_information_score 34.959255 kb_relative_information_score 31.563182 kb_relative_information_score 29.160659 kb_relative_information_score 25.776189 kb_relative_information_score 28.358315 kb_relative_information_score 28.103703 kb_relative_information_score 31.365333 kb_relative_information_score 21.309729 kb_relative_information_score 31.510671 kb_relative_information_score 30.463767 kb_relative_information_score 29.639234 kb_relative_information_score 26.154543 kb_relative_information_score 23.583922 kb_relative_information_score 30.262556 kb_relative_information_score 29.215116 kb_relative_information_score 30.614138 kb_relative_information_score 26.523932 kb_relative_information_score 29.321717 kb_relative_information_score 25.611412 kb_relative_information_score 28.787171 kb_relative_information_score 23.82737 kb_relative_information_score 28.593249 kb_relative_information_score 31.831495 kb_relative_information_score 28.552517 kb_relative_information_score 27.258345 kb_relative_information_score 27.839809 kb_relative_information_score 34.185587 kb_relative_information_score 30.598761 kb_relative_information_score 29.620371 kb_relative_information_score 29.860475 kb_relative_information_score 30.736401 kb_relative_information_score 29.990772 kb_relative_information_score 30.733488 kb_relative_information_score 26.060014 kb_relative_information_score 31.87912 kb_relative_information_score 31.108441 kb_relative_information_score 22.076768 kb_relative_information_score 28.481261 kb_relative_information_score 27.91489 kb_relative_information_score 34.949048 kb_relative_information_score 22.291051 kb_relative_information_score 23.49792 kb_relative_information_score 29.643416 kb_relative_information_score 27.827172 kb_relative_information_score 30.546006 kb_relative_information_score 25.076066 kb_relative_information_score 34.675285 kb_relative_information_score 34.884751 kb_relative_information_score 27.92811 kb_relative_information_score 26.099768 kb_relative_information_score 34.623811 kb_relative_information_score 24.757594 kb_relative_information_score 20.866473 kb_relative_information_score 27.887914 kb_relative_information_score 30.773289 kb_relative_information_score 23.935315 kb_relative_information_score 27.371649 kb_relative_information_score 29.093446 kb_relative_information_score 21.376891 kb_relative_information_score 25.543364 kb_relative_information_score 18.377261 kb_relative_information_score 33.082804 kb_relative_information_score 28.476315 kb_relative_information_score 31.007625 kb_relative_information_score 23.242223 kb_relative_information_score 25.517523 kb_relative_information_score 25.549197 kb_relative_information_score 16.679064 kb_relative_information_score 25.494412 kb_relative_information_score 30.818252 kb_relative_information_score 27.350833 kb_relative_information_score 29.060717 kb_relative_information_score 28.361998 kb_relative_information_score 31.698387 kb_relative_information_score 29.497847 kb_relative_information_score 24.272185 kb_relative_information_score 28.274061 kb_relative_information_score 29.13516 kb_relative_information_score 32.266946 mean_absolute_error 0.252418 mean_absolute_error 0.178354 mean_absolute_error 0.27556 mean_absolute_error 0.195408 mean_absolute_error 0.19597 mean_absolute_error 0.242142 mean_absolute_error 0.17621 mean_absolute_error 0.239623 mean_absolute_error 0.23744 mean_absolute_error 0.18745 mean_absolute_error 0.26797 mean_absolute_error 0.276171 mean_absolute_error 0.192965 mean_absolute_error 0.200928 mean_absolute_error 0.281342 mean_absolute_error 0.269379 mean_absolute_error 0.23371 mean_absolute_error 0.270348 mean_absolute_error 0.188315 mean_absolute_error 0.22245 mean_absolute_error 0.197077 mean_absolute_error 0.165757 mean_absolute_error 0.198455 mean_absolute_error 0.221372 mean_absolute_error 0.25458 mean_absolute_error 0.224365 mean_absolute_error 0.226169 mean_absolute_error 0.198483 mean_absolute_error 0.290665 mean_absolute_error 0.197248 mean_absolute_error 0.208936 mean_absolute_error 0.216379 mean_absolute_error 0.240734 mean_absolute_error 0.27111 mean_absolute_error 0.208391 mean_absolute_error 0.22037 mean_absolute_error 0.203307 mean_absolute_error 0.243115 mean_absolute_error 0.218873 mean_absolute_error 0.252285 mean_absolute_error 0.226205 mean_absolute_error 0.268501 mean_absolute_error 0.220755 mean_absolute_error 0.191235 mean_absolute_error 0.220611 mean_absolute_error 0.235942 mean_absolute_error 0.234298 mean_absolute_error 0.172554 mean_absolute_error 0.207925 mean_absolute_error 0.220825 mean_absolute_error 0.21131 mean_absolute_error 0.205162 mean_absolute_error 0.20971 mean_absolute_error 0.201062 mean_absolute_error 0.250234 mean_absolute_error 0.197927 mean_absolute_error 0.201139 mean_absolute_error 0.281022 mean_absolute_error 0.226553 mean_absolute_error 0.228957 mean_absolute_error 0.164504 mean_absolute_error 0.283323 mean_absolute_error 0.270451 mean_absolute_error 0.213401 mean_absolute_error 0.232454 mean_absolute_error 0.202572 mean_absolute_error 0.256413 mean_absolute_error 0.165967 mean_absolute_error 0.162853 mean_absolute_error 0.232386 mean_absolute_error 0.253699 mean_absolute_error 0.169834 mean_absolute_error 0.261902 mean_absolute_error 0.302532 mean_absolute_error 0.22738 mean_absolute_error 0.21346 mean_absolute_error 0.265573 mean_absolute_error 0.236055 mean_absolute_error 0.219451 mean_absolute_error 0.29172 mean_absolute_error 0.255695 mean_absolute_error 0.319562 mean_absolute_error 0.187014 mean_absolute_error 0.226447 mean_absolute_error 0.203762 mean_absolute_error 0.268504 mean_absolute_error 0.255235 mean_absolute_error 0.251833 mean_absolute_error 0.330942 mean_absolute_error 0.257713 mean_absolute_error 0.208801 mean_absolute_error 0.237049 mean_absolute_error 0.226412 mean_absolute_error 0.230504 mean_absolute_error 0.195628 mean_absolute_error 0.21529 mean_absolute_error 0.263701 mean_absolute_error 0.230917 mean_absolute_error 0.218262 mean_absolute_error 0.186495 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.497291 mean_prior_absolute_error 0.498645 mean_prior_absolute_error 0.498645 number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] number_of_instances 50 [23,27] number_of_instances 50 [24,26] number_of_instances 50 [24,26] precision 0.782 [0.8,0.766667] precision 0.940519 [0.954545,0.928571] precision 0.826346 [0.769231,0.875] precision 0.841182 [0.857143,0.827586] precision 0.864631 [0.904762,0.827586] precision 0.782 [0.8,0.766667] precision 0.8832 [0.84,0.92] precision 0.790017 [0.842105,0.741935] precision 0.805433 [0.842105,0.774194] precision 0.861026 [0.833333,0.884615] precision 0.826346 [0.769231,0.875] precision 0.788333 [0.833333,0.75] precision 0.900325 [0.909091,0.892857] precision 0.888693 [0.947368,0.83871] precision 0.765333 [0.8,0.733333] precision 0.823 [0.85,0.8] precision 0.805433 [0.842105,0.774194] precision 0.760909 [0.772727,0.75] precision 0.931852 [0.851852,1] precision 0.844191 [0.9375,0.764706] precision 0.841182 [0.857143,0.827586] precision 0.930323 [1,0.870968] precision 0.888693 [0.947368,0.83871] precision 0.841182 [0.857143,0.827586] precision 0.842692 [0.807692,0.875] precision 0.84 [0.826087,0.851852] precision 0.805433 [0.842105,0.774194] precision 0.889333 [0.95,0.833333] precision 0.738286 [0.8,0.685714] precision 0.901818 [1,0.818182] precision 0.8832 [0.84,0.92] precision 0.888693 [0.947368,0.83871] precision 0.745903 [0.777778,0.71875] precision 0.781154 [0.75,0.807692] precision 0.892667 [0.766667,1] precision 0.922233 [0.952381,0.896552] precision 0.900962 [0.875,0.923077] precision 0.847063 [0.894737,0.806452] precision 0.864 [0.9,0.833333] precision 0.819935 [0.818182,0.821429] precision 0.864 [0.9,0.833333] precision 0.821675 [0.724138,0.904762] precision 0.847063 [0.894737,0.806452] precision 0.900962 [0.875,0.923077] precision 0.830764 [0.888889,0.78125] precision 0.819935 [0.818182,0.821429] precision 0.847063 [0.894737,0.806452] precision 0.92 [0.913043,0.925926] precision 0.8832 [0.84,0.92] precision 0.900325 [0.909091,0.892857] precision 0.873194 [0.944444,0.8125] precision 0.901818 [1,0.818182] precision 0.858396 [0.941176,0.787879] precision 0.841182 [0.857143,0.827586] precision 0.82109 [0.791667,0.846154] precision 0.905 [0.95,0.866667] precision 0.922233 [0.952381,0.896552] precision 0.738286 [0.8,0.685714] precision 0.8432 [0.8,0.88] precision 0.88 [0.869565,0.888889] precision 0.922233 [0.952381,0.896552] precision 0.781154 [0.75,0.807692] precision 0.741 [0.75,0.733333] precision 0.841182 [0.857143,0.827586] precision 0.830764 [0.888889,0.78125] precision 0.84 [0.826087,0.851852] precision 0.805433 [0.842105,0.774194] precision 0.940519 [0.954545,0.928571] precision 0.900962 [0.875,0.923077] precision 0.8432 [0.8,0.88] precision 0.84 [0.833333,0.846154] precision 0.92 [0.916667,0.923077] precision 0.780097 [0.782609,0.777778] precision 0.765333 [0.8,0.733333] precision 0.788333 [0.833333,0.75] precision 0.92 [0.916667,0.923077] precision 0.806825 [0.928571,0.694444] precision 0.826346 [0.769231,0.875] precision 0.806667 [0.85,0.766667] precision 0.757718 [0.823529,0.69697] precision 0.790017 [0.842105,0.741935] precision 0.701478 [0.714286,0.689655] precision 0.922468 [0.954545,0.892857] precision 0.848 [0.9,0.8] precision 0.905 [0.95,0.866667] precision 0.725714 [0.8,0.657143] precision 0.825507 [0.777778,0.869565] precision 0.800657 [0.809524,0.793103] precision 0.619901 [0.619048,0.62069] precision 0.823842 [0.857143,0.793103] precision 0.874092 [0.947368,0.806452] precision 0.8 [0.791667,0.807692] precision 0.922949 [0.884615,0.958333] precision 0.841688 [0.863636,0.821429] precision 0.905 [0.95,0.866667] precision 0.820225 [0.826087,0.814815] precision 0.783054 [0.809524,0.758621] precision 0.861026 [0.833333,0.884615] precision 0.874092 [0.947368,0.806452] precision 0.820225 [0.826087,0.814815] predictive_accuracy 0.78 predictive_accuracy 0.94 predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.86 predictive_accuracy 0.78 predictive_accuracy 0.88 predictive_accuracy 0.78 predictive_accuracy 0.8 predictive_accuracy 0.86 predictive_accuracy 0.82 predictive_accuracy 0.78 predictive_accuracy 0.9 predictive_accuracy 0.88 predictive_accuracy 0.76 predictive_accuracy 0.82 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.92 predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.92 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.72 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.86 predictive_accuracy 0.92 predictive_accuracy 0.9 predictive_accuracy 0.84 predictive_accuracy 0.86 predictive_accuracy 0.82 predictive_accuracy 0.86 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.9 predictive_accuracy 0.82 predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.92 predictive_accuracy 0.88 predictive_accuracy 0.9 predictive_accuracy 0.86 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.82 predictive_accuracy 0.9 predictive_accuracy 0.92 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.88 predictive_accuracy 0.92 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.84 predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.94 predictive_accuracy 0.9 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.92 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.92 predictive_accuracy 0.76 predictive_accuracy 0.82 predictive_accuracy 0.8 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.7 predictive_accuracy 0.92 predictive_accuracy 0.84 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.82 predictive_accuracy 0.8 predictive_accuracy 0.62 predictive_accuracy 0.82 predictive_accuracy 0.86 predictive_accuracy 0.8 predictive_accuracy 0.92 predictive_accuracy 0.84 predictive_accuracy 0.9 predictive_accuracy 0.82 predictive_accuracy 0.78 predictive_accuracy 0.86 predictive_accuracy 0.86 predictive_accuracy 0.82 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 prior_entropy 0.996688 recall 0.78 [0.695652,0.851852] recall 0.94 [0.913043,0.962963] recall 0.82 [0.869565,0.777778] recall 0.84 [0.782609,0.888889] recall 0.86 [0.791667,0.923077] recall 0.78 [0.695652,0.851852] recall 0.88 [0.913043,0.851852] recall 0.78 [0.666667,0.884615] recall 0.8 [0.695652,0.888889] recall 0.86 [0.869565,0.851852] recall 0.82 [0.869565,0.777778] recall 0.78 [0.652174,0.888889] recall 0.9 [0.869565,0.925926] recall 0.88 [0.782609,0.962963] recall 0.76 [0.666667,0.846154] recall 0.82 [0.73913,0.888889] recall 0.8 [0.695652,0.888889] recall 0.76 [0.708333,0.807692] recall 0.92 [1,0.851852] recall 0.82 [0.652174,0.962963] recall 0.84 [0.782609,0.888889] recall 0.92 [0.826087,1] recall 0.88 [0.782609,0.962963] recall 0.84 [0.782609,0.888889] recall 0.84 [0.875,0.807692] recall 0.84 [0.826087,0.851852] recall 0.8 [0.695652,0.888889] recall 0.88 [0.791667,0.961538] recall 0.72 [0.521739,0.888889] recall 0.88 [0.73913,1] recall 0.88 [0.913043,0.851852] recall 0.88 [0.782609,0.962963] recall 0.74 [0.608696,0.851852] recall 0.78 [0.782609,0.777778] recall 0.86 [1,0.740741] recall 0.92 [0.869565,0.962963] recall 0.9 [0.913043,0.888889] recall 0.84 [0.73913,0.925926] recall 0.86 [0.782609,0.925926] recall 0.82 [0.782609,0.851852] recall 0.86 [0.782609,0.925926] recall 0.8 [0.913043,0.703704] recall 0.84 [0.73913,0.925926] recall 0.9 [0.913043,0.888889] recall 0.82 [0.695652,0.925926] recall 0.82 [0.782609,0.851852] recall 0.84 [0.73913,0.925926] recall 0.92 [0.913043,0.925926] recall 0.88 [0.913043,0.851852] recall 0.9 [0.869565,0.925926] recall 0.86 [0.73913,0.962963] recall 0.88 [0.73913,1] recall 0.84 [0.695652,0.962963] recall 0.84 [0.782609,0.888889] recall 0.82 [0.826087,0.814815] recall 0.9 [0.826087,0.962963] recall 0.92 [0.869565,0.962963] recall 0.72 [0.521739,0.888889] recall 0.84 [0.869565,0.814815] recall 0.88 [0.869565,0.888889] recall 0.92 [0.869565,0.962963] recall 0.78 [0.782609,0.777778] recall 0.74 [0.652174,0.814815] recall 0.84 [0.782609,0.888889] recall 0.82 [0.695652,0.925926] recall 0.84 [0.826087,0.851852] recall 0.8 [0.695652,0.888889] recall 0.94 [0.913043,0.962963] recall 0.9 [0.913043,0.888889] recall 0.84 [0.869565,0.814815] recall 0.84 [0.833333,0.846154] recall 0.92 [0.916667,0.923077] recall 0.78 [0.75,0.807692] recall 0.76 [0.666667,0.846154] recall 0.78 [0.652174,0.888889] recall 0.92 [0.916667,0.923077] recall 0.76 [0.541667,0.961538] recall 0.82 [0.869565,0.777778] recall 0.8 [0.708333,0.884615] recall 0.74 [0.583333,0.884615] recall 0.78 [0.666667,0.884615] recall 0.7 [0.625,0.769231] recall 0.92 [0.875,0.961538] recall 0.84 [0.75,0.923077] recall 0.9 [0.826087,0.962963] recall 0.7 [0.5,0.884615] recall 0.82 [0.875,0.769231] recall 0.8 [0.73913,0.851852] recall 0.62 [0.541667,0.692308] recall 0.82 [0.75,0.884615] recall 0.86 [0.75,0.961538] recall 0.8 [0.791667,0.807692] recall 0.92 [0.958333,0.884615] recall 0.84 [0.791667,0.884615] recall 0.9 [0.826087,0.962963] recall 0.82 [0.791667,0.846154] recall 0.78 [0.708333,0.846154] recall 0.86 [0.869565,0.851852] recall 0.86 [0.75,0.961538] recall 0.82 [0.791667,0.846154] relative_absolute_error 0.507586 relative_absolute_error 0.358651 relative_absolute_error 0.554123 relative_absolute_error 0.392945 relative_absolute_error 0.393005 relative_absolute_error 0.486922 relative_absolute_error 0.35434 relative_absolute_error 0.480548 relative_absolute_error 0.477467 relative_absolute_error 0.376943 relative_absolute_error 0.538861 relative_absolute_error 0.55535 relative_absolute_error 0.388033 relative_absolute_error 0.404046 relative_absolute_error 0.564212 relative_absolute_error 0.541694 relative_absolute_error 0.469967 relative_absolute_error 0.542164 relative_absolute_error 0.378682 relative_absolute_error 0.447324 relative_absolute_error 0.396301 relative_absolute_error 0.33332 relative_absolute_error 0.399072 relative_absolute_error 0.445156 relative_absolute_error 0.510544 relative_absolute_error 0.451175 relative_absolute_error 0.454802 relative_absolute_error 0.398044 relative_absolute_error 0.584496 relative_absolute_error 0.396645 relative_absolute_error 0.420149 relative_absolute_error 0.435116 relative_absolute_error 0.484092 relative_absolute_error 0.545174 relative_absolute_error 0.419052 relative_absolute_error 0.44314 relative_absolute_error 0.408829 relative_absolute_error 0.48888 relative_absolute_error 0.440131 relative_absolute_error 0.507319 relative_absolute_error 0.454875 relative_absolute_error 0.539927 relative_absolute_error 0.443915 relative_absolute_error 0.384553 relative_absolute_error 0.443626 relative_absolute_error 0.474455 relative_absolute_error 0.471149 relative_absolute_error 0.346988 relative_absolute_error 0.418115 relative_absolute_error 0.444056 relative_absolute_error 0.424923 relative_absolute_error 0.412559 relative_absolute_error 0.421706 relative_absolute_error 0.404315 relative_absolute_error 0.503194 relative_absolute_error 0.39801 relative_absolute_error 0.404469 relative_absolute_error 0.565106 relative_absolute_error 0.455575 relative_absolute_error 0.460409 relative_absolute_error 0.330801 relative_absolute_error 0.569733 relative_absolute_error 0.543848 relative_absolute_error 0.429128 relative_absolute_error 0.467442 relative_absolute_error 0.407352 relative_absolute_error 0.51562 relative_absolute_error 0.333742 relative_absolute_error 0.327481 relative_absolute_error 0.467304 relative_absolute_error 0.508775 relative_absolute_error 0.34059 relative_absolute_error 0.525228 relative_absolute_error 0.606707 relative_absolute_error 0.457238 relative_absolute_error 0.428079 relative_absolute_error 0.532589 relative_absolute_error 0.474682 relative_absolute_error 0.440094 relative_absolute_error 0.585025 relative_absolute_error 0.512779 relative_absolute_error 0.64086 relative_absolute_error 0.375045 relative_absolute_error 0.454124 relative_absolute_error 0.409744 relative_absolute_error 0.538467 relative_absolute_error 0.511856 relative_absolute_error 0.50641 relative_absolute_error 0.663683 relative_absolute_error 0.516825 relative_absolute_error 0.418737 relative_absolute_error 0.475385 relative_absolute_error 0.454055 relative_absolute_error 0.462261 relative_absolute_error 0.393387 relative_absolute_error 0.43175 relative_absolute_error 0.528835 relative_absolute_error 0.464349 relative_absolute_error 0.43771 relative_absolute_error 0.374003 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.498435 root_mean_prior_squared_error 0.499792 root_mean_prior_squared_error 0.499792 root_mean_squared_error 0.382948 root_mean_squared_error 0.285796 root_mean_squared_error 0.371579 root_mean_squared_error 0.305321 root_mean_squared_error 0.306702 root_mean_squared_error 0.367134 root_mean_squared_error 0.271357 root_mean_squared_error 0.367886 root_mean_squared_error 0.368755 root_mean_squared_error 0.315712 root_mean_squared_error 0.368706 root_mean_squared_error 0.391981 root_mean_squared_error 0.288397 root_mean_squared_error 0.310802 root_mean_squared_error 0.394297 root_mean_squared_error 0.393979 root_mean_squared_error 0.353818 root_mean_squared_error 0.37097 root_mean_squared_error 0.276735 root_mean_squared_error 0.323643 root_mean_squared_error 0.312228 root_mean_squared_error 0.241278 root_mean_squared_error 0.284302 root_mean_squared_error 0.315856 root_mean_squared_error 0.373956 root_mean_squared_error 0.33303 root_mean_squared_error 0.354135 root_mean_squared_error 0.30536 root_mean_squared_error 0.409416 root_mean_squared_error 0.305888 root_mean_squared_error 0.314102 root_mean_squared_error 0.315198 root_mean_squared_error 0.363497 root_mean_squared_error 0.377479 root_mean_squared_error 0.310346 root_mean_squared_error 0.324988 root_mean_squared_error 0.30425 root_mean_squared_error 0.359677 root_mean_squared_error 0.317858 root_mean_squared_error 0.359799 root_mean_squared_error 0.351532 root_mean_squared_error 0.386997 root_mean_squared_error 0.358941 root_mean_squared_error 0.309743 root_mean_squared_error 0.355207 root_mean_squared_error 0.354232 root_mean_squared_error 0.321741 root_mean_squared_error 0.258622 root_mean_squared_error 0.303209 root_mean_squared_error 0.298034 root_mean_squared_error 0.310706 root_mean_squared_error 0.299852 root_mean_squared_error 0.315609 root_mean_squared_error 0.330805 root_mean_squared_error 0.359551 root_mean_squared_error 0.274674 root_mean_squared_error 0.319736 root_mean_squared_error 0.404497 root_mean_squared_error 0.324475 root_mean_squared_error 0.356605 root_mean_squared_error 0.25174 root_mean_squared_error 0.380934 root_mean_squared_error 0.39441 root_mean_squared_error 0.31708 root_mean_squared_error 0.336787 root_mean_squared_error 0.327804 root_mean_squared_error 0.372375 root_mean_squared_error 0.261712 root_mean_squared_error 0.261808 root_mean_squared_error 0.337267 root_mean_squared_error 0.355453 root_mean_squared_error 0.26551 root_mean_squared_error 0.39106 root_mean_squared_error 0.419768 root_mean_squared_error 0.331593 root_mean_squared_error 0.279017 root_mean_squared_error 0.403102 root_mean_squared_error 0.358551 root_mean_squared_error 0.327644 root_mean_squared_error 0.407493 root_mean_squared_error 0.35351 root_mean_squared_error 0.443277 root_mean_squared_error 0.266921 root_mean_squared_error 0.324831 root_mean_squared_error 0.316214 root_mean_squared_error 0.408294 root_mean_squared_error 0.379442 root_mean_squared_error 0.374272 root_mean_squared_error 0.475351 root_mean_squared_error 0.375893 root_mean_squared_error 0.297207 root_mean_squared_error 0.34167 root_mean_squared_error 0.321788 root_mean_squared_error 0.33688 root_mean_squared_error 0.304853 root_mean_squared_error 0.334222 root_mean_squared_error 0.387694 root_mean_squared_error 0.328583 root_mean_squared_error 0.341397 root_mean_squared_error 0.294455 root_relative_squared_error 0.768299 root_relative_squared_error 0.573387 root_relative_squared_error 0.745491 root_relative_squared_error 0.612559 root_relative_squared_error 0.613659 root_relative_squared_error 0.736573 root_relative_squared_error 0.544419 root_relative_squared_error 0.736078 root_relative_squared_error 0.739826 root_relative_squared_error 0.633407 root_relative_squared_error 0.739727 root_relative_squared_error 0.786424 root_relative_squared_error 0.578604 root_relative_squared_error 0.623555 root_relative_squared_error 0.788921 root_relative_squared_error 0.790431 root_relative_squared_error 0.709857 root_relative_squared_error 0.742249 root_relative_squared_error 0.555208 root_relative_squared_error 0.649319 root_relative_squared_error 0.626416 root_relative_squared_error 0.484072 root_relative_squared_error 0.570389 root_relative_squared_error 0.633696 root_relative_squared_error 0.748222 root_relative_squared_error 0.668151 root_relative_squared_error 0.710493 root_relative_squared_error 0.610974 root_relative_squared_error 0.821402 root_relative_squared_error 0.613697 root_relative_squared_error 0.630175 root_relative_squared_error 0.632374 root_relative_squared_error 0.729277 root_relative_squared_error 0.757327 root_relative_squared_error 0.62264 root_relative_squared_error 0.652017 root_relative_squared_error 0.61041 root_relative_squared_error 0.721613 root_relative_squared_error 0.637712 root_relative_squared_error 0.721858 root_relative_squared_error 0.705272 root_relative_squared_error 0.776424 root_relative_squared_error 0.720136 root_relative_squared_error 0.621431 root_relative_squared_error 0.712645 root_relative_squared_error 0.710688 root_relative_squared_error 0.645503 root_relative_squared_error 0.518869 root_relative_squared_error 0.608322 root_relative_squared_error 0.59794 root_relative_squared_error 0.623363 root_relative_squared_error 0.601587 root_relative_squared_error 0.633199 root_relative_squared_error 0.663687 root_relative_squared_error 0.72136 root_relative_squared_error 0.551074 root_relative_squared_error 0.641479 root_relative_squared_error 0.811534 root_relative_squared_error 0.650988 root_relative_squared_error 0.71545 root_relative_squared_error 0.505061 root_relative_squared_error 0.76426 root_relative_squared_error 0.791297 root_relative_squared_error 0.636151 root_relative_squared_error 0.675689 root_relative_squared_error 0.657666 root_relative_squared_error 0.747088 root_relative_squared_error 0.525067 root_relative_squared_error 0.52526 root_relative_squared_error 0.676651 root_relative_squared_error 0.711202 root_relative_squared_error 0.531241 root_relative_squared_error 0.782446 root_relative_squared_error 0.839886 root_relative_squared_error 0.665267 root_relative_squared_error 0.558265 root_relative_squared_error 0.806539 root_relative_squared_error 0.719354 root_relative_squared_error 0.65556 root_relative_squared_error 0.815326 root_relative_squared_error 0.707314 root_relative_squared_error 0.886923 root_relative_squared_error 0.534065 root_relative_squared_error 0.649932 root_relative_squared_error 0.634414 root_relative_squared_error 0.816927 root_relative_squared_error 0.759199 root_relative_squared_error 0.750894 root_relative_squared_error 0.951097 root_relative_squared_error 0.752098 root_relative_squared_error 0.59466 root_relative_squared_error 0.683623 root_relative_squared_error 0.643844 root_relative_squared_error 0.67404 root_relative_squared_error 0.611619 root_relative_squared_error 0.668722 root_relative_squared_error 0.775711 root_relative_squared_error 0.659229 root_relative_squared_error 0.683078 root_relative_squared_error 0.589154 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 10 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 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 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 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 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 10 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 10 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 10 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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