467828 2 Joaquin Vanschoren 4321 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2032 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 10 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 750 pm10 https://www.openml.org/data/download/53284/pm10.arff -1 1645597 description https://api.openml.org/data/download/1645597/weka_generated_run1232833460522120178.xml -1 1645600 model_readable https://api.openml.org/data/download/1645600/WekaModel_weka.classifiers.meta.Bagging2794347102490318090.model -1 1645599 model_serialized https://api.openml.org/data/download/1645599/WekaSerialized_weka.classifiers.meta.Bagging3366532667474639499.model -1 1645598 predictions https://api.openml.org/data/download/1645598/weka_generated_predictions4544661169729720117.arff area_under_roc_curve 0.627468 [0.627468,0.627468] average_cost 0 f_measure 0.600225 [0.623062,0.576645] kappa 0.201122 kb_relative_information_score 450.51875 mean_absolute_error 0.462046 mean_prior_absolute_error 0.499873 number_of_instances 5000 [2540,2460] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.60138 [0.599273,0.603556] predictive_accuracy 0.6012 prior_entropy 0.999817 recall 0.6012 [0.648819,0.552033] relative_absolute_error 0.924327 root_mean_prior_squared_error 0.499936 root_mean_squared_error 0.491902 root_relative_squared_error 0.98393 scimark_benchmark 938.191038 [560.6688329969002, 1014.1868590421574, 483.0147548568529, 877.0290826596154, 1756.0556588021248] total_cost 0 usercpu_time_millis 30 usercpu_time_millis_testing 0 usercpu_time_millis_training 30 area_under_roc_curve 0.661859 [0.661859,0.661859] area_under_roc_curve 0.700321 [0.700321,0.700321] area_under_roc_curve 0.657051 [0.657051,0.657051] area_under_roc_curve 0.752 [0.752,0.752] area_under_roc_curve 0.602564 [0.602564,0.602564] area_under_roc_curve 0.616 [0.616,0.616] area_under_roc_curve 0.7216 [0.7216,0.7216] area_under_roc_curve 0.591346 [0.591346,0.591346] area_under_roc_curve 0.568 [0.568,0.568] area_under_roc_curve 0.647436 [0.647436,0.647436] area_under_roc_curve 0.496795 [0.496795,0.496795] area_under_roc_curve 0.536859 [0.536859,0.536859] area_under_roc_curve 0.737179 [0.737179,0.737179] area_under_roc_curve 0.5184 [0.5184,0.5184] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.5792 [0.5792,0.5792] area_under_roc_curve 0.6144 [0.6144,0.6144] area_under_roc_curve 0.514423 [0.514423,0.514423] area_under_roc_curve 0.6256 [0.6256,0.6256] area_under_roc_curve 0.629808 [0.629808,0.629808] area_under_roc_curve 0.564103 [0.564103,0.564103] area_under_roc_curve 0.551282 [0.551282,0.551282] area_under_roc_curve 0.758013 [0.758013,0.758013] area_under_roc_curve 0.608 [0.608,0.608] area_under_roc_curve 0.653846 [0.653846,0.653846] area_under_roc_curve 0.5424 [0.5424,0.5424] area_under_roc_curve 0.592 [0.592,0.592] area_under_roc_curve 0.567308 [0.567308,0.567308] area_under_roc_curve 0.616 [0.616,0.616] area_under_roc_curve 0.636218 [0.636218,0.636218] area_under_roc_curve 0.607372 [0.607372,0.607372] area_under_roc_curve 0.777244 [0.777244,0.777244] area_under_roc_curve 0.741987 [0.741987,0.741987] area_under_roc_curve 0.6736 [0.6736,0.6736] area_under_roc_curve 0.713141 [0.713141,0.713141] area_under_roc_curve 0.6704 [0.6704,0.6704] area_under_roc_curve 0.704 [0.704,0.704] area_under_roc_curve 0.642628 [0.642628,0.642628] area_under_roc_curve 0.704 [0.704,0.704] area_under_roc_curve 0.503205 [0.503205,0.503205] area_under_roc_curve 0.7088 [0.7088,0.7088] area_under_roc_curve 0.6176 [0.6176,0.6176] area_under_roc_curve 0.5992 [0.5992,0.5992] area_under_roc_curve 0.672 [0.672,0.672] area_under_roc_curve 0.5408 [0.5408,0.5408] area_under_roc_curve 0.6288 [0.6288,0.6288] area_under_roc_curve 0.6608 [0.6608,0.6608] area_under_roc_curve 0.6496 [0.6496,0.6496] area_under_roc_curve 0.6256 [0.6256,0.6256] area_under_roc_curve 0.6208 [0.6208,0.6208] area_under_roc_curve 0.5776 [0.5776,0.5776] area_under_roc_curve 0.472 [0.472,0.472] area_under_roc_curve 0.5408 [0.5408,0.5408] area_under_roc_curve 0.536 [0.536,0.536] area_under_roc_curve 0.576 [0.576,0.576] area_under_roc_curve 0.5376 [0.5376,0.5376] area_under_roc_curve 0.7328 [0.7328,0.7328] area_under_roc_curve 0.7392 [0.7392,0.7392] area_under_roc_curve 0.7712 [0.7712,0.7712] area_under_roc_curve 0.6384 [0.6384,0.6384] area_under_roc_curve 0.5072 [0.5072,0.5072] area_under_roc_curve 0.6256 [0.6256,0.6256] area_under_roc_curve 0.4944 [0.4944,0.4944] area_under_roc_curve 0.714744 [0.714744,0.714744] area_under_roc_curve 0.632 [0.632,0.632] area_under_roc_curve 0.717949 [0.717949,0.717949] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.464 [0.464,0.464] area_under_roc_curve 0.578526 [0.578526,0.578526] area_under_roc_curve 0.8096 [0.8096,0.8096] area_under_roc_curve 0.7136 [0.7136,0.7136] area_under_roc_curve 0.7216 [0.7216,0.7216] area_under_roc_curve 0.6256 [0.6256,0.6256] area_under_roc_curve 0.684295 [0.684295,0.684295] area_under_roc_curve 0.6688 [0.6688,0.6688] area_under_roc_curve 0.836538 [0.836538,0.836538] area_under_roc_curve 0.599359 [0.599359,0.599359] area_under_roc_curve 0.6912 [0.6912,0.6912] area_under_roc_curve 0.660256 [0.660256,0.660256] area_under_roc_curve 0.648 [0.648,0.648] area_under_roc_curve 0.6848 [0.6848,0.6848] area_under_roc_curve 0.5952 [0.5952,0.5952] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.650641 [0.650641,0.650641] area_under_roc_curve 0.5792 [0.5792,0.5792] area_under_roc_curve 0.578526 [0.578526,0.578526] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.4816 [0.4816,0.4816] area_under_roc_curve 0.586538 [0.586538,0.586538] area_under_roc_curve 0.6592 [0.6592,0.6592] area_under_roc_curve 0.6736 [0.6736,0.6736] area_under_roc_curve 0.7344 [0.7344,0.7344] area_under_roc_curve 0.6288 [0.6288,0.6288] area_under_roc_curve 0.658654 [0.658654,0.658654] area_under_roc_curve 0.6864 [0.6864,0.6864] area_under_roc_curve 0.520833 [0.520833,0.520833] area_under_roc_curve 0.586538 [0.586538,0.586538] area_under_roc_curve 0.6784 [0.6784,0.6784] area_under_roc_curve 0.608974 [0.608974,0.608974] area_under_roc_curve 0.6496 [0.6496,0.6496] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.678969 [0.703704,0.652174] f_measure 0.659592 [0.653061,0.666667] f_measure 0.598718 [0.583333,0.615385] f_measure 0.677939 [0.703704,0.652174] f_measure 0.619542 [0.641509,0.595745] f_measure 0.594156 [0.642857,0.545455] f_measure 0.679487 [0.666667,0.692308] f_measure 0.6 [0.615385,0.583333] f_measure 0.535354 [0.581818,0.488889] f_measure 0.638841 [0.666667,0.608696] f_measure 0.496989 [0.468085,0.528302] f_measure 0.539446 [0.566038,0.510638] f_measure 0.740104 [0.745098,0.734694] f_measure 0.538338 [0.566038,0.510638] f_measure 0.510542 [0.586207,0.428571] f_measure 0.512987 [0.571429,0.454545] f_measure 0.539816 [0.54902,0.530612] f_measure 0.48 [0.5,0.458333] f_measure 0.54844 [0.47619,0.62069] f_measure 0.539446 [0.566038,0.510638] f_measure 0.504 [0.6,0.4] f_measure 0.495552 [0.612903,0.368421] f_measure 0.68 [0.692308,0.666667] f_measure 0.578483 [0.603774,0.553191] f_measure 0.657953 [0.638298,0.679245] f_measure 0.539816 [0.530612,0.54902] f_measure 0.538338 [0.510638,0.566038] f_measure 0.479193 [0.590164,0.358974] f_measure 0.557166 [0.592593,0.521739] f_measure 0.617697 [0.654545,0.577778] f_measure 0.515325 [0.571429,0.454545] f_measure 0.740104 [0.745098,0.734694] f_measure 0.657939 [0.690909,0.622222] f_measure 0.72 [0.72,0.72] f_measure 0.673695 [0.724138,0.619048] f_measure 0.618627 [0.641509,0.595745] f_measure 0.677939 [0.652174,0.703704] f_measure 0.663701 [0.741935,0.578947] f_measure 0.679487 [0.692308,0.666667] f_measure 0.537212 [0.581818,0.488889] f_measure 0.702886 [0.774194,0.631579] f_measure 0.637681 [0.666667,0.608696] f_measure 0.64 [0.64,0.64] f_measure 0.571603 [0.511628,0.631579] f_measure 0.559295 [0.576923,0.541667] f_measure 0.557166 [0.521739,0.592593] f_measure 0.618627 [0.641509,0.595745] f_measure 0.639423 [0.653846,0.625] f_measure 0.597424 [0.62963,0.565217] f_measure 0.539816 [0.530612,0.54902] f_measure 0.516908 [0.555556,0.478261] f_measure 0.48 [0.48,0.48] f_measure 0.516908 [0.555556,0.478261] f_measure 0.516908 [0.555556,0.478261] f_measure 0.579832 [0.571429,0.588235] f_measure 0.494949 [0.444444,0.545455] f_measure 0.600673 [0.688525,0.512821] f_measure 0.656566 [0.690909,0.622222] f_measure 0.69988 [0.705882,0.693878] f_measure 0.512987 [0.571429,0.454545] f_measure 0.538338 [0.566038,0.510638] f_measure 0.637681 [0.666667,0.608696] f_measure 0.476651 [0.518519,0.434783] f_measure 0.678974 [0.666667,0.692308] f_measure 0.677939 [0.703704,0.652174] f_measure 0.69964 [0.693878,0.705882] f_measure 0.598712 [0.62963,0.565217] f_measure 0.479167 [0.5,0.458333] f_measure 0.479193 [0.590164,0.358974] f_measure 0.715909 [0.75,0.681818] f_measure 0.69697 [0.727273,0.666667] f_measure 0.671593 [0.724138,0.619048] f_measure 0.599359 [0.615385,0.583333] f_measure 0.64 [0.653846,0.625] f_measure 0.658772 [0.679245,0.638298] f_measure 0.76 [0.769231,0.75] f_measure 0.577455 [0.618182,0.533333] f_measure 0.619848 [0.627451,0.612245] f_measure 0.676883 [0.714286,0.636364] f_measure 0.656566 [0.690909,0.622222] f_measure 0.637681 [0.666667,0.608696] f_measure 0.557166 [0.592593,0.521739] f_measure 0.4998 [0.509804,0.489796] f_measure 0.614574 [0.666667,0.55814] f_measure 0.557166 [0.592593,0.521739] f_measure 0.518462 [0.5,0.538462] f_measure 0.53723 [0.510638,0.566038] f_measure 0.516908 [0.555556,0.478261] f_measure 0.55859 [0.541667,0.576923] f_measure 0.599359 [0.583333,0.615385] f_measure 0.637681 [0.666667,0.608696] f_measure 0.675325 [0.636364,0.714286] f_measure 0.612403 [0.666667,0.55814] f_measure 0.617697 [0.654545,0.577778] f_measure 0.637681 [0.666667,0.608696] f_measure 0.537212 [0.581818,0.488889] f_measure 0.598712 [0.62963,0.565217] f_measure 0.637681 [0.666667,0.608696] f_measure 0.562522 [0.655738,0.461538] f_measure 0.599359 [0.615385,0.583333] kappa 0.356913 kappa 0.322169 kappa 0.203822 kappa 0.36 kappa 0.23756 kappa 0.2 kappa 0.36 kappa 0.198718 kappa 0.08 kappa 0.276527 kappa 0.006359 kappa 0.077047 kappa 0.48 kappa 0.08 kappa 0.029126 kappa 0.04 kappa 0.08 kappa -0.041667 kappa 0.12 kappa 0.077047 kappa 0.025974 kappa 0.022801 kappa 0.358974 kappa 0.16 kappa 0.324324 kappa 0.08 kappa 0.08 kappa -0.01626 kappa 0.12 kappa 0.235105 kappa 0.032258 kappa 0.48 kappa 0.31562 kappa 0.44 kappa 0.352751 kappa 0.24 kappa 0.36 kappa 0.348534 kappa 0.36 kappa 0.074074 kappa 0.44 kappa 0.28 kappa 0.28 kappa 0.16 kappa 0.12 kappa 0.12 kappa 0.24 kappa 0.28 kappa 0.2 kappa 0.08 kappa 0.04 kappa -0.04 kappa 0.04 kappa 0.04 kappa 0.16 kappa 0 kappa 0.24 kappa 0.32 kappa 0.4 kappa 0.04 kappa 0.08 kappa 0.28 kappa -0.04 kappa 0.363057 kappa 0.36 kappa 0.401914 kappa 0.196141 kappa -0.04 kappa -0.01626 kappa 0.44 kappa 0.4 kappa 0.36 kappa 0.2 kappa 0.278846 kappa 0.32 kappa 0.519231 kappa 0.154589 kappa 0.24 kappa 0.354839 kappa 0.32 kappa 0.28 kappa 0.12 kappa 0 kappa 0.232633 kappa 0.12 kappa 0.044586 kappa 0.085851 kappa 0.04 kappa 0.124204 kappa 0.2 kappa 0.28 kappa 0.36 kappa 0.24 kappa 0.235105 kappa 0.28 kappa 0.074074 kappa 0.196141 kappa 0.28 kappa 0.146341 kappa 0.2 kb_relative_information_score 4.081558 kb_relative_information_score 6.855305 kb_relative_information_score 4.658668 kb_relative_information_score 10.505169 kb_relative_information_score 4.569106 kb_relative_information_score 4.345873 kb_relative_information_score 7.351674 kb_relative_information_score 3.099599 kb_relative_information_score 3.100678 kb_relative_information_score 5.213164 kb_relative_information_score -0.340737 kb_relative_information_score 0.905421 kb_relative_information_score 9.647888 kb_relative_information_score 0.556395 kb_relative_information_score 2.108866 kb_relative_information_score 2.184208 kb_relative_information_score 4.081922 kb_relative_information_score 0.766552 kb_relative_information_score 3.901955 kb_relative_information_score 4.863407 kb_relative_information_score 1.913209 kb_relative_information_score 2.786316 kb_relative_information_score 8.47985 kb_relative_information_score 4.561698 kb_relative_information_score 6.720707 kb_relative_information_score 1.777936 kb_relative_information_score 2.921812 kb_relative_information_score 2.708856 kb_relative_information_score 4.276754 kb_relative_information_score 4.800393 kb_relative_information_score 4.134729 kb_relative_information_score 12.201038 kb_relative_information_score 9.578768 kb_relative_information_score 6.258711 kb_relative_information_score 7.583549 kb_relative_information_score 6.359013 kb_relative_information_score 6.090488 kb_relative_information_score 5.774174 kb_relative_information_score 7.198913 kb_relative_information_score 0.00266 kb_relative_information_score 8.442553 kb_relative_information_score 3.519367 kb_relative_information_score 3.755899 kb_relative_information_score 5.753411 kb_relative_information_score 1.204896 kb_relative_information_score 3.820409 kb_relative_information_score 5.610214 kb_relative_information_score 4.825548 kb_relative_information_score 4.13421 kb_relative_information_score 3.940382 kb_relative_information_score 2.785157 kb_relative_information_score -1.267881 kb_relative_information_score 1.294047 kb_relative_information_score 1.236523 kb_relative_information_score 2.804183 kb_relative_information_score 1.308094 kb_relative_information_score 7.718679 kb_relative_information_score 6.745714 kb_relative_information_score 10.819295 kb_relative_information_score 4.17651 kb_relative_information_score 0.717034 kb_relative_information_score 3.690123 kb_relative_information_score 0.294955 kb_relative_information_score 6.790984 kb_relative_information_score 5.633644 kb_relative_information_score 8.04174 kb_relative_information_score 2.247559 kb_relative_information_score -1.572344 kb_relative_information_score 1.934514 kb_relative_information_score 10.136142 kb_relative_information_score 7.175708 kb_relative_information_score 7.465061 kb_relative_information_score 4.599512 kb_relative_information_score 6.70183 kb_relative_information_score 6.625036 kb_relative_information_score 10.883775 kb_relative_information_score 3.496925 kb_relative_information_score 6.276803 kb_relative_information_score 6.515004 kb_relative_information_score 4.456356 kb_relative_information_score 6.052534 kb_relative_information_score 3.063155 kb_relative_information_score -0.58886 kb_relative_information_score 5.550249 kb_relative_information_score 2.683422 kb_relative_information_score 2.585494 kb_relative_information_score 1.769306 kb_relative_information_score -0.768009 kb_relative_information_score 2.348689 kb_relative_information_score 5.802018 kb_relative_information_score 6.203853 kb_relative_information_score 7.768264 kb_relative_information_score 4.563534 kb_relative_information_score 4.943907 kb_relative_information_score 5.987108 kb_relative_information_score 1.26769 kb_relative_information_score 4.087985 kb_relative_information_score 5.696482 kb_relative_information_score 3.780906 kb_relative_information_score 4.397207 mean_absolute_error 0.467503 mean_absolute_error 0.444092 mean_absolute_error 0.461904 mean_absolute_error 0.407399 mean_absolute_error 0.462662 mean_absolute_error 0.461572 mean_absolute_error 0.439722 mean_absolute_error 0.475417 mean_absolute_error 0.472264 mean_absolute_error 0.455792 mean_absolute_error 0.503539 mean_absolute_error 0.493162 mean_absolute_error 0.418842 mean_absolute_error 0.494553 mean_absolute_error 0.482168 mean_absolute_error 0.482926 mean_absolute_error 0.463996 mean_absolute_error 0.491922 mean_absolute_error 0.466353 mean_absolute_error 0.456692 mean_absolute_error 0.483731 mean_absolute_error 0.474539 mean_absolute_error 0.428275 mean_absolute_error 0.460024 mean_absolute_error 0.444785 mean_absolute_error 0.483212 mean_absolute_error 0.474116 mean_absolute_error 0.475735 mean_absolute_error 0.46326 mean_absolute_error 0.457514 mean_absolute_error 0.461503 mean_absolute_error 0.394117 mean_absolute_error 0.416727 mean_absolute_error 0.450234 mean_absolute_error 0.436312 mean_absolute_error 0.444609 mean_absolute_error 0.452652 mean_absolute_error 0.452678 mean_absolute_error 0.440885 mean_absolute_error 0.500787 mean_absolute_error 0.429185 mean_absolute_error 0.472668 mean_absolute_error 0.469463 mean_absolute_error 0.448611 mean_absolute_error 0.491188 mean_absolute_error 0.467862 mean_absolute_error 0.451869 mean_absolute_error 0.46109 mean_absolute_error 0.467074 mean_absolute_error 0.465845 mean_absolute_error 0.474508 mean_absolute_error 0.510252 mean_absolute_error 0.489937 mean_absolute_error 0.492816 mean_absolute_error 0.477948 mean_absolute_error 0.487351 mean_absolute_error 0.433377 mean_absolute_error 0.443789 mean_absolute_error 0.405812 mean_absolute_error 0.464278 mean_absolute_error 0.492659 mean_absolute_error 0.470045 mean_absolute_error 0.496003 mean_absolute_error 0.443132 mean_absolute_error 0.454381 mean_absolute_error 0.433625 mean_absolute_error 0.482234 mean_absolute_error 0.514502 mean_absolute_error 0.481902 mean_absolute_error 0.416991 mean_absolute_error 0.44001 mean_absolute_error 0.438319 mean_absolute_error 0.462523 mean_absolute_error 0.443197 mean_absolute_error 0.445029 mean_absolute_error 0.408198 mean_absolute_error 0.469541 mean_absolute_error 0.448637 mean_absolute_error 0.443599 mean_absolute_error 0.464035 mean_absolute_error 0.448906 mean_absolute_error 0.473698 mean_absolute_error 0.506006 mean_absolute_error 0.454283 mean_absolute_error 0.479631 mean_absolute_error 0.478053 mean_absolute_error 0.484201 mean_absolute_error 0.506656 mean_absolute_error 0.480397 mean_absolute_error 0.448156 mean_absolute_error 0.446906 mean_absolute_error 0.433917 mean_absolute_error 0.461726 mean_absolute_error 0.459957 mean_absolute_error 0.449506 mean_absolute_error 0.488363 mean_absolute_error 0.468927 mean_absolute_error 0.451346 mean_absolute_error 0.467709 mean_absolute_error 0.464555 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] precision 0.68013 [0.678571,0.681818] precision 0.663961 [0.695652,0.62963] precision 0.605195 [0.636364,0.571429] precision 0.684729 [0.655172,0.714286] precision 0.619581 [0.62963,0.608696] precision 0.606112 [0.580645,0.631579] precision 0.681159 [0.695652,0.666667] precision 0.6 [0.615385,0.583333] precision 0.541667 [0.533333,0.55] precision 0.63974 [0.642857,0.636364] precision 0.504105 [0.52381,0.482759] precision 0.539324 [0.555556,0.521739] precision 0.7408 [0.76,0.72] precision 0.540584 [0.535714,0.545455] precision 0.51625 [0.53125,0.5] precision 0.521222 [0.516129,0.526316] precision 0.540064 [0.538462,0.541667] precision 0.48 [0.5,0.458333] precision 0.566845 [0.588235,0.545455] precision 0.539324 [0.555556,0.521739] precision 0.515294 [0.529412,0.5] precision 0.514444 [0.527778,0.5] precision 0.68 [0.692308,0.666667] precision 0.581169 [0.571429,0.590909] precision 0.66936 [0.714286,0.62069] precision 0.540064 [0.541667,0.538462] precision 0.540584 [0.545455,0.535714] precision 0.491429 [0.514286,0.466667] precision 0.561576 [0.551724,0.571429] precision 0.619901 [0.62069,0.619048] precision 0.517333 [0.533333,0.5] precision 0.7408 [0.76,0.72] precision 0.66069 [0.655172,0.666667] precision 0.72 [0.72,0.72] precision 0.687917 [0.65625,0.722222] precision 0.621753 [0.607143,0.636364] precision 0.684729 [0.714286,0.655172] precision 0.709365 [0.638889,0.785714] precision 0.681159 [0.666667,0.695652] precision 0.538325 [0.551724,0.52381] precision 0.785863 [0.648649,0.923077] precision 0.643678 [0.62069,0.666667] precision 0.64 [0.64,0.64] precision 0.586806 [0.611111,0.5625] precision 0.560386 [0.555556,0.565217] precision 0.561576 [0.571429,0.551724] precision 0.621753 [0.607143,0.636364] precision 0.640902 [0.62963,0.652174] precision 0.602627 [0.586207,0.619048] precision 0.540064 [0.541667,0.538462] precision 0.520525 [0.517241,0.52381] precision 0.48 [0.48,0.48] precision 0.520525 [0.517241,0.52381] precision 0.520525 [0.517241,0.52381] precision 0.580128 [0.583333,0.576923] precision 0.5 [0.5,0.5] precision 0.64881 [0.583333,0.714286] precision 0.666667 [0.633333,0.7] precision 0.700321 [0.692308,0.708333] precision 0.521222 [0.516129,0.526316] precision 0.540584 [0.535714,0.545455] precision 0.643678 [0.62069,0.666667] precision 0.479475 [0.482759,0.47619] precision 0.686753 [0.727273,0.642857] precision 0.684729 [0.655172,0.714286] precision 0.704348 [0.73913,0.666667] precision 0.599351 [0.607143,0.590909] precision 0.479871 [0.481481,0.478261] precision 0.491429 [0.514286,0.466667] precision 0.733447 [0.677419,0.789474] precision 0.708333 [0.666667,0.75] precision 0.700535 [0.636364,0.764706] precision 0.600644 [0.592593,0.608696] precision 0.64 [0.653846,0.625] precision 0.662338 [0.642857,0.681818] precision 0.76 [0.769231,0.75] precision 0.579113 [0.586207,0.571429] precision 0.620192 [0.615385,0.625] precision 0.682667 [0.666667,0.7] precision 0.666667 [0.633333,0.7] precision 0.643678 [0.62069,0.666667] precision 0.561576 [0.551724,0.571429] precision 0.5 [0.5,0.5] precision 0.621868 [0.612903,0.631579] precision 0.561576 [0.551724,0.571429] precision 0.523636 [0.545455,0.5] precision 0.545419 [0.571429,0.517241] precision 0.520525 [0.517241,0.52381] precision 0.564416 [0.590909,0.535714] precision 0.600644 [0.608696,0.592593] precision 0.643678 [0.62069,0.666667] precision 0.691002 [0.736842,0.645161] precision 0.630208 [0.59375,0.666667] precision 0.619901 [0.62069,0.619048] precision 0.643678 [0.62069,0.666667] precision 0.538325 [0.551724,0.52381] precision 0.599351 [0.607143,0.590909] precision 0.643678 [0.62069,0.666667] precision 0.585143 [0.571429,0.6] precision 0.600644 [0.592593,0.608696] predictive_accuracy 0.68 predictive_accuracy 0.66 predictive_accuracy 0.6 predictive_accuracy 0.68 predictive_accuracy 0.62 predictive_accuracy 0.6 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.54 predictive_accuracy 0.64 predictive_accuracy 0.5 predictive_accuracy 0.54 predictive_accuracy 0.74 predictive_accuracy 0.54 predictive_accuracy 0.52 predictive_accuracy 0.52 predictive_accuracy 0.54 predictive_accuracy 0.48 predictive_accuracy 0.56 predictive_accuracy 0.54 predictive_accuracy 0.52 predictive_accuracy 0.52 predictive_accuracy 0.68 predictive_accuracy 0.58 predictive_accuracy 0.66 predictive_accuracy 0.54 predictive_accuracy 0.54 predictive_accuracy 0.5 predictive_accuracy 0.56 predictive_accuracy 0.62 predictive_accuracy 0.52 predictive_accuracy 0.74 predictive_accuracy 0.66 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.62 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.54 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.58 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.62 predictive_accuracy 0.64 predictive_accuracy 0.6 predictive_accuracy 0.54 predictive_accuracy 0.52 predictive_accuracy 0.48 predictive_accuracy 0.52 predictive_accuracy 0.52 predictive_accuracy 0.58 predictive_accuracy 0.5 predictive_accuracy 0.62 predictive_accuracy 0.66 predictive_accuracy 0.7 predictive_accuracy 0.52 predictive_accuracy 0.54 predictive_accuracy 0.64 predictive_accuracy 0.48 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.48 predictive_accuracy 0.5 predictive_accuracy 0.72 predictive_accuracy 0.7 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.66 predictive_accuracy 0.76 predictive_accuracy 0.58 predictive_accuracy 0.62 predictive_accuracy 0.68 predictive_accuracy 0.66 predictive_accuracy 0.64 predictive_accuracy 0.56 predictive_accuracy 0.5 predictive_accuracy 0.62 predictive_accuracy 0.56 predictive_accuracy 0.52 predictive_accuracy 0.54 predictive_accuracy 0.52 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.64 predictive_accuracy 0.54 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.58 predictive_accuracy 0.6 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 recall 0.68 [0.730769,0.625] recall 0.66 [0.615385,0.708333] recall 0.6 [0.538462,0.666667] recall 0.68 [0.76,0.6] recall 0.62 [0.653846,0.583333] recall 0.6 [0.72,0.48] recall 0.68 [0.64,0.72] recall 0.6 [0.615385,0.583333] recall 0.54 [0.64,0.44] recall 0.64 [0.692308,0.583333] recall 0.5 [0.423077,0.583333] recall 0.54 [0.576923,0.5] recall 0.74 [0.730769,0.75] recall 0.54 [0.6,0.48] recall 0.52 [0.653846,0.375] recall 0.52 [0.64,0.4] recall 0.54 [0.56,0.52] recall 0.48 [0.5,0.458333] recall 0.56 [0.4,0.72] recall 0.54 [0.576923,0.5] recall 0.52 [0.692308,0.333333] recall 0.52 [0.730769,0.291667] recall 0.68 [0.692308,0.666667] recall 0.58 [0.64,0.52] recall 0.66 [0.576923,0.75] recall 0.54 [0.52,0.56] recall 0.54 [0.48,0.6] recall 0.5 [0.692308,0.291667] recall 0.56 [0.64,0.48] recall 0.62 [0.692308,0.541667] recall 0.52 [0.615385,0.416667] recall 0.74 [0.730769,0.75] recall 0.66 [0.730769,0.583333] recall 0.72 [0.72,0.72] recall 0.68 [0.807692,0.541667] recall 0.62 [0.68,0.56] recall 0.68 [0.6,0.76] recall 0.68 [0.884615,0.458333] recall 0.68 [0.72,0.64] recall 0.54 [0.615385,0.458333] recall 0.72 [0.96,0.48] recall 0.64 [0.72,0.56] recall 0.64 [0.64,0.64] recall 0.58 [0.44,0.72] recall 0.56 [0.6,0.52] recall 0.56 [0.48,0.64] recall 0.62 [0.68,0.56] recall 0.64 [0.68,0.6] recall 0.6 [0.68,0.52] recall 0.54 [0.52,0.56] recall 0.52 [0.6,0.44] recall 0.48 [0.48,0.48] recall 0.52 [0.6,0.44] recall 0.52 [0.6,0.44] recall 0.58 [0.56,0.6] recall 0.5 [0.4,0.6] recall 0.62 [0.84,0.4] recall 0.66 [0.76,0.56] recall 0.7 [0.72,0.68] recall 0.52 [0.64,0.4] recall 0.54 [0.6,0.48] recall 0.64 [0.72,0.56] recall 0.48 [0.56,0.4] recall 0.68 [0.615385,0.75] recall 0.68 [0.76,0.6] recall 0.7 [0.653846,0.75] recall 0.6 [0.653846,0.541667] recall 0.48 [0.52,0.44] recall 0.5 [0.692308,0.291667] recall 0.72 [0.84,0.6] recall 0.7 [0.8,0.6] recall 0.68 [0.84,0.52] recall 0.6 [0.64,0.56] recall 0.64 [0.653846,0.625] recall 0.66 [0.72,0.6] recall 0.76 [0.769231,0.75] recall 0.58 [0.653846,0.5] recall 0.62 [0.64,0.6] recall 0.68 [0.769231,0.583333] recall 0.66 [0.76,0.56] recall 0.64 [0.72,0.56] recall 0.56 [0.64,0.48] recall 0.5 [0.52,0.48] recall 0.62 [0.730769,0.5] recall 0.56 [0.64,0.48] recall 0.52 [0.461538,0.583333] recall 0.54 [0.461538,0.625] recall 0.52 [0.6,0.44] recall 0.56 [0.5,0.625] recall 0.6 [0.56,0.64] recall 0.64 [0.72,0.56] recall 0.68 [0.56,0.8] recall 0.62 [0.76,0.48] recall 0.62 [0.692308,0.541667] recall 0.64 [0.72,0.56] recall 0.54 [0.615385,0.458333] recall 0.6 [0.653846,0.541667] recall 0.64 [0.72,0.56] recall 0.58 [0.769231,0.375] recall 0.6 [0.64,0.56] relative_absolute_error 0.935602 relative_absolute_error 0.888751 relative_absolute_error 0.924397 relative_absolute_error 0.814798 relative_absolute_error 0.925914 relative_absolute_error 0.923143 relative_absolute_error 0.879444 relative_absolute_error 0.95144 relative_absolute_error 0.944529 relative_absolute_error 0.912165 relative_absolute_error 1.00772 relative_absolute_error 0.986954 relative_absolute_error 0.838219 relative_absolute_error 0.989107 relative_absolute_error 0.964951 relative_absolute_error 0.965852 relative_absolute_error 0.927992 relative_absolute_error 0.984473 relative_absolute_error 0.932706 relative_absolute_error 0.913966 relative_absolute_error 0.968078 relative_absolute_error 0.949683 relative_absolute_error 0.857096 relative_absolute_error 0.920049 relative_absolute_error 0.890138 relative_absolute_error 0.966423 relative_absolute_error 0.948232 relative_absolute_error 0.952076 relative_absolute_error 0.92652 relative_absolute_error 0.915612 relative_absolute_error 0.923595 relative_absolute_error 0.788738 relative_absolute_error 0.833986 relative_absolute_error 0.900467 relative_absolute_error 0.87318 relative_absolute_error 0.889218 relative_absolute_error 0.905304 relative_absolute_error 0.905933 relative_absolute_error 0.881769 relative_absolute_error 1.002213 relative_absolute_error 0.858369 relative_absolute_error 0.945335 relative_absolute_error 0.938927 relative_absolute_error 0.897221 relative_absolute_error 0.982377 relative_absolute_error 0.935723 relative_absolute_error 0.903737 relative_absolute_error 0.92218 relative_absolute_error 0.934148 relative_absolute_error 0.931691 relative_absolute_error 0.949017 relative_absolute_error 1.020504 relative_absolute_error 0.979873 relative_absolute_error 0.985631 relative_absolute_error 0.955897 relative_absolute_error 0.974701 relative_absolute_error 0.866755 relative_absolute_error 0.887578 relative_absolute_error 0.811623 relative_absolute_error 0.928555 relative_absolute_error 0.985318 relative_absolute_error 0.940091 relative_absolute_error 0.992006 relative_absolute_error 0.886829 relative_absolute_error 0.908762 relative_absolute_error 0.867803 relative_absolute_error 0.965083 relative_absolute_error 1.029004 relative_absolute_error 0.964418 relative_absolute_error 0.833981 relative_absolute_error 0.880021 relative_absolute_error 0.876638 relative_absolute_error 0.925045 relative_absolute_error 0.886959 relative_absolute_error 0.890058 relative_absolute_error 0.816917 relative_absolute_error 0.939682 relative_absolute_error 0.897274 relative_absolute_error 0.887765 relative_absolute_error 0.92807 relative_absolute_error 0.897813 relative_absolute_error 0.947396 relative_absolute_error 1.012012 relative_absolute_error 0.909145 relative_absolute_error 0.959263 relative_absolute_error 0.956715 relative_absolute_error 0.969019 relative_absolute_error 1.013311 relative_absolute_error 0.961408 relative_absolute_error 0.896311 relative_absolute_error 0.893812 relative_absolute_error 0.867833 relative_absolute_error 0.923453 relative_absolute_error 0.920501 relative_absolute_error 0.899012 relative_absolute_error 0.977349 relative_absolute_error 0.938453 relative_absolute_error 0.902692 relative_absolute_error 0.936015 relative_absolute_error 0.929109 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_squared_error 0.484775 root_mean_squared_error 0.475083 root_mean_squared_error 0.482018 root_mean_squared_error 0.448378 root_mean_squared_error 0.497391 root_mean_squared_error 0.490793 root_mean_squared_error 0.472783 root_mean_squared_error 0.503476 root_mean_squared_error 0.512929 root_mean_squared_error 0.48447 root_mean_squared_error 0.526851 root_mean_squared_error 0.516136 root_mean_squared_error 0.449854 root_mean_squared_error 0.526139 root_mean_squared_error 0.506395 root_mean_squared_error 0.515964 root_mean_squared_error 0.494267 root_mean_squared_error 0.518202 root_mean_squared_error 0.496632 root_mean_squared_error 0.488882 root_mean_squared_error 0.511089 root_mean_squared_error 0.508859 root_mean_squared_error 0.450209 root_mean_squared_error 0.500169 root_mean_squared_error 0.486066 root_mean_squared_error 0.507039 root_mean_squared_error 0.493271 root_mean_squared_error 0.511501 root_mean_squared_error 0.487758 root_mean_squared_error 0.487931 root_mean_squared_error 0.49198 root_mean_squared_error 0.438446 root_mean_squared_error 0.451365 root_mean_squared_error 0.48207 root_mean_squared_error 0.463395 root_mean_squared_error 0.47855 root_mean_squared_error 0.478647 root_mean_squared_error 0.481676 root_mean_squared_error 0.46756 root_mean_squared_error 0.528278 root_mean_squared_error 0.462369 root_mean_squared_error 0.499821 root_mean_squared_error 0.504624 root_mean_squared_error 0.484566 root_mean_squared_error 0.52539 root_mean_squared_error 0.495758 root_mean_squared_error 0.478608 root_mean_squared_error 0.487093 root_mean_squared_error 0.498697 root_mean_squared_error 0.496968 root_mean_squared_error 0.510202 root_mean_squared_error 0.537766 root_mean_squared_error 0.520321 root_mean_squared_error 0.53015 root_mean_squared_error 0.503533 root_mean_squared_error 0.531139 root_mean_squared_error 0.467607 root_mean_squared_error 0.45983 root_mean_squared_error 0.442489 root_mean_squared_error 0.495939 root_mean_squared_error 0.51827 root_mean_squared_error 0.49413 root_mean_squared_error 0.527618 root_mean_squared_error 0.466413 root_mean_squared_error 0.48647 root_mean_squared_error 0.468375 root_mean_squared_error 0.515655 root_mean_squared_error 0.54137 root_mean_squared_error 0.505368 root_mean_squared_error 0.444075 root_mean_squared_error 0.470281 root_mean_squared_error 0.462747 root_mean_squared_error 0.503582 root_mean_squared_error 0.472375 root_mean_squared_error 0.481801 root_mean_squared_error 0.427463 root_mean_squared_error 0.499507 root_mean_squared_error 0.477089 root_mean_squared_error 0.470315 root_mean_squared_error 0.48404 root_mean_squared_error 0.472633 root_mean_squared_error 0.496609 root_mean_squared_error 0.530972 root_mean_squared_error 0.478501 root_mean_squared_error 0.517484 root_mean_squared_error 0.508905 root_mean_squared_error 0.502094 root_mean_squared_error 0.530768 root_mean_squared_error 0.496184 root_mean_squared_error 0.480144 root_mean_squared_error 0.480531 root_mean_squared_error 0.460174 root_mean_squared_error 0.487266 root_mean_squared_error 0.483075 root_mean_squared_error 0.468214 root_mean_squared_error 0.518537 root_mean_squared_error 0.508948 root_mean_squared_error 0.471872 root_mean_squared_error 0.50265 root_mean_squared_error 0.48934 root_relative_squared_error 0.970046 root_relative_squared_error 0.950652 root_relative_squared_error 0.964528 root_relative_squared_error 0.896642 root_relative_squared_error 0.99529 root_relative_squared_error 0.981462 root_relative_squared_error 0.945446 root_relative_squared_error 1.007466 root_relative_squared_error 1.025728 root_relative_squared_error 0.969434 root_relative_squared_error 1.054241 root_relative_squared_error 1.032799 root_relative_squared_error 0.900168 root_relative_squared_error 1.052144 root_relative_squared_error 1.013307 root_relative_squared_error 1.031797 root_relative_squared_error 0.988408 root_relative_squared_error 1.036933 root_relative_squared_error 0.993137 root_relative_squared_error 0.978263 root_relative_squared_error 1.0227 root_relative_squared_error 1.018237 root_relative_squared_error 0.900878 root_relative_squared_error 1.00021 root_relative_squared_error 0.972628 root_relative_squared_error 1.01395 root_relative_squared_error 0.986418 root_relative_squared_error 1.023525 root_relative_squared_error 0.975392 root_relative_squared_error 0.97636 root_relative_squared_error 0.984462 root_relative_squared_error 0.877339 root_relative_squared_error 0.903192 root_relative_squared_error 0.964018 root_relative_squared_error 0.927264 root_relative_squared_error 0.956978 root_relative_squared_error 0.957173 root_relative_squared_error 0.963845 root_relative_squared_error 0.935002 root_relative_squared_error 1.057096 root_relative_squared_error 0.92462 root_relative_squared_error 0.999514 root_relative_squared_error 1.009121 root_relative_squared_error 0.969009 root_relative_squared_error 1.050646 root_relative_squared_error 0.99139 root_relative_squared_error 0.957095 root_relative_squared_error 0.974062 root_relative_squared_error 0.997267 root_relative_squared_error 0.99381 root_relative_squared_error 1.020275 root_relative_squared_error 1.075396 root_relative_squared_error 1.040509 root_relative_squared_error 1.060165 root_relative_squared_error 1.006937 root_relative_squared_error 1.062142 root_relative_squared_error 0.935094 root_relative_squared_error 0.919543 root_relative_squared_error 0.884865 root_relative_squared_error 0.991753 root_relative_squared_error 1.036408 root_relative_squared_error 0.988134 root_relative_squared_error 1.055102 root_relative_squared_error 0.933304 root_relative_squared_error 0.972816 root_relative_squared_error 0.937228 root_relative_squared_error 1.031837 root_relative_squared_error 1.082603 root_relative_squared_error 1.011253 root_relative_squared_error 0.888038 root_relative_squared_error 0.940443 root_relative_squared_error 0.925376 root_relative_squared_error 1.007036 root_relative_squared_error 0.945233 root_relative_squared_error 0.96348 root_relative_squared_error 0.855362 root_relative_squared_error 0.999525 root_relative_squared_error 0.954056 root_relative_squared_error 0.941111 root_relative_squared_error 0.967956 root_relative_squared_error 0.945146 root_relative_squared_error 0.993092 root_relative_squared_error 1.06181 root_relative_squared_error 0.957491 root_relative_squared_error 1.034836 root_relative_squared_error 1.01833 root_relative_squared_error 1.0047 root_relative_squared_error 1.061401 root_relative_squared_error 0.992875 root_relative_squared_error 0.960166 root_relative_squared_error 0.960939 root_relative_squared_error 0.920232 root_relative_squared_error 0.974409 root_relative_squared_error 0.966643 root_relative_squared_error 0.93631 root_relative_squared_error 1.037604 root_relative_squared_error 1.018417 root_relative_squared_error 0.943623 root_relative_squared_error 1.005814 root_relative_squared_error 0.978557 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 30 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 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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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 50 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 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usercpu_time_millis_training 40 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 40 usercpu_time_millis_training 50 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 40 usercpu_time_millis_training 50 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 50 usercpu_time_millis_training 50 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