284204 2 Joaquin Vanschoren 4407 Supervised Classification predictive_accuracy 1089 weka.ExtraTree(1) 1859 weka.classifiers.trees.ExtraTree -- -K -1 -N -1 -S 1 K -1 1089 N -1 1089 S 1 1089 weka weka_3.7.12 837 fri_c1_1000_50 https://www.openml.org/data/download/53371/fri_c1_1000_50.arff -1 956115 description https://api.openml.org/data/download/956115/weka_generated_run6004314702307512227.xml -1 956118 model_readable https://api.openml.org/data/download/956118/WekaModel_weka.classifiers.trees.ExtraTree5292261549397647281.model -1 956117 model_serialized https://api.openml.org/data/download/956117/WekaSerialized_weka.classifiers.trees.ExtraTree4817756896348929785.model -1 956116 predictions https://api.openml.org/data/download/956116/weka_generated_predictions4920825318224314099.arff area_under_roc_curve 0.623909 [0.623909,0.623909] average_cost 0 f_measure 0.626955 [0.59016,0.657426] kappa 0.247602 kb_relative_information_score 2440.087004 mean_absolute_error 0.3732 mean_prior_absolute_error 0.495591 number_of_instances 10000 [4530,5470] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.627136 [0.587194,0.660214] predictive_accuracy 0.6268 prior_entropy 0.993642 recall 0.6268 [0.593157,0.654662] relative_absolute_error 0.753041 root_mean_prior_squared_error 0.497786 root_mean_squared_error 0.610901 root_relative_squared_error 1.227236 scimark_benchmark 1320.902596 [818.1241392904162, 996.8727570475086, 548.2470636678671, 1074.3606305428655, 3166.9083911775488] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.546296 [0.546296,0.546296] area_under_roc_curve 0.595813 [0.595813,0.595813] area_under_roc_curve 0.470707 [0.470707,0.470707] area_under_roc_curve 0.515298 [0.515298,0.515298] area_under_roc_curve 0.632323 [0.632323,0.632323] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.590909 [0.590909,0.590909] area_under_roc_curve 0.629293 [0.629293,0.629293] area_under_roc_curve 0.708081 [0.708081,0.708081] area_under_roc_curve 0.629293 [0.629293,0.629293] area_under_roc_curve 0.586554 [0.586554,0.586554] area_under_roc_curve 0.561594 [0.561594,0.561594] area_under_roc_curve 0.623232 [0.623232,0.623232] area_under_roc_curve 0.527778 [0.527778,0.527778] area_under_roc_curve 0.665657 [0.665657,0.665657] area_under_roc_curve 0.671717 [0.671717,0.671717] area_under_roc_curve 0.682828 [0.682828,0.682828] area_under_roc_curve 0.589899 [0.589899,0.589899] area_under_roc_curve 0.683838 [0.683838,0.683838] area_under_roc_curve 0.638384 [0.638384,0.638384] area_under_roc_curve 0.683977 [0.683977,0.683977] area_under_roc_curve 0.560386 [0.560386,0.560386] area_under_roc_curve 0.642424 [0.642424,0.642424] area_under_roc_curve 0.690419 [0.690419,0.690419] area_under_roc_curve 0.59798 [0.59798,0.59798] area_under_roc_curve 0.584848 [0.584848,0.584848] area_under_roc_curve 0.608081 [0.608081,0.608081] area_under_roc_curve 0.519192 [0.519192,0.519192] area_under_roc_curve 0.649495 [0.649495,0.649495] area_under_roc_curve 0.689899 [0.689899,0.689899] area_under_roc_curve 0.558586 [0.558586,0.558586] area_under_roc_curve 0.616162 [0.616162,0.616162] area_under_roc_curve 0.519192 [0.519192,0.519192] area_under_roc_curve 0.741414 [0.741414,0.741414] area_under_roc_curve 0.616162 [0.616162,0.616162] area_under_roc_curve 0.641414 [0.641414,0.641414] area_under_roc_curve 0.632323 [0.632323,0.632323] area_under_roc_curve 0.605051 [0.605051,0.605051] area_under_roc_curve 0.640404 [0.640404,0.640404] area_under_roc_curve 0.645455 [0.645455,0.645455] area_under_roc_curve 0.582828 [0.582828,0.582828] area_under_roc_curve 0.533333 [0.533333,0.533333] area_under_roc_curve 0.564646 [0.564646,0.564646] area_under_roc_curve 0.772727 [0.772727,0.772727] area_under_roc_curve 0.640404 [0.640404,0.640404] area_under_roc_curve 0.556566 [0.556566,0.556566] area_under_roc_curve 0.761616 [0.761616,0.761616] area_under_roc_curve 0.684848 [0.684848,0.684848] area_under_roc_curve 0.625253 [0.625253,0.625253] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.614141 [0.614141,0.614141] area_under_roc_curve 0.638384 [0.638384,0.638384] area_under_roc_curve 0.576768 [0.576768,0.576768] area_under_roc_curve 0.708081 [0.708081,0.708081] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.578788 [0.578788,0.578788] area_under_roc_curve 0.721212 [0.721212,0.721212] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.647475 [0.647475,0.647475] area_under_roc_curve 0.715152 [0.715152,0.715152] area_under_roc_curve 0.609091 [0.609091,0.609091] area_under_roc_curve 0.627273 [0.627273,0.627273] area_under_roc_curve 0.512121 [0.512121,0.512121] area_under_roc_curve 0.613131 [0.613131,0.613131] area_under_roc_curve 0.593939 [0.593939,0.593939] area_under_roc_curve 0.654545 [0.654545,0.654545] area_under_roc_curve 0.558586 [0.558586,0.558586] area_under_roc_curve 0.631313 [0.631313,0.631313] area_under_roc_curve 0.494949 [0.494949,0.494949] area_under_roc_curve 0.693939 [0.693939,0.693939] area_under_roc_curve 0.681818 [0.681818,0.681818] area_under_roc_curve 0.640404 [0.640404,0.640404] area_under_roc_curve 0.612721 [0.612721,0.612721] area_under_roc_curve 0.687879 [0.687879,0.687879] area_under_roc_curve 0.558776 [0.558776,0.558776] area_under_roc_curve 0.623591 [0.623591,0.623591] area_under_roc_curve 0.738325 [0.738325,0.738325] area_under_roc_curve 0.787842 [0.787842,0.787842] area_under_roc_curve 0.673108 [0.673108,0.673108] area_under_roc_curve 0.698068 [0.698068,0.698068] area_under_roc_curve 0.713131 [0.713131,0.713131] area_under_roc_curve 0.627273 [0.627273,0.627273] area_under_roc_curve 0.586554 [0.586554,0.586554] area_under_roc_curve 0.632323 [0.632323,0.632323] area_under_roc_curve 0.554348 [0.554348,0.554348] area_under_roc_curve 0.630032 [0.630032,0.630032] area_under_roc_curve 0.741546 [0.741546,0.741546] area_under_roc_curve 0.6719 [0.6719,0.6719] area_under_roc_curve 0.637681 [0.637681,0.637681] area_under_roc_curve 0.704509 [0.704509,0.704509] area_under_roc_curve 0.59798 [0.59798,0.59798] area_under_roc_curve 0.552525 [0.552525,0.552525] area_under_roc_curve 0.527778 [0.527778,0.527778] area_under_roc_curve 0.624242 [0.624242,0.624242] area_under_roc_curve 0.60467 [0.60467,0.60467] area_under_roc_curve 0.613124 [0.613124,0.613124] area_under_roc_curve 0.623591 [0.623591,0.623591] area_under_roc_curve 0.513688 [0.513688,0.513688] area_under_roc_curve 0.612721 [0.612721,0.612721] area_under_roc_curve 0.575684 [0.575684,0.575684] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.549592 [0.505495,0.587156] f_measure 0.599192 [0.555556,0.636364] f_measure 0.47703 [0.395349,0.54386] f_measure 0.51903 [0.466667,0.563636] f_measure 0.637944 [0.581395,0.684211] f_measure 0.610977 [0.589474,0.628571] f_measure 0.591028 [0.568421,0.609524] f_measure 0.630781 [0.602151,0.654206] f_measure 0.710263 [0.681319,0.733945] f_measure 0.630781 [0.602151,0.654206] f_measure 0.589628 [0.549451,0.623853] f_measure 0.565381 [0.494118,0.626087] f_measure 0.628532 [0.574713,0.672566] f_measure 0.530331 [0.494624,0.560748] f_measure 0.669633 [0.629213,0.702703] f_measure 0.670827 [0.652632,0.685714] f_measure 0.680769 [0.666667,0.692308] f_measure 0.596059 [0.52381,0.655172] f_measure 0.68877 [0.643678,0.725664] f_measure 0.64058 [0.608696,0.666667] f_measure 0.68795 [0.643678,0.725664] f_measure 0.560705 [0.541667,0.576923] f_measure 0.640865 [0.625,0.653846] f_measure 0.690466 [0.673684,0.704762] f_measure 0.600644 [0.565217,0.62963] f_measure 0.589543 [0.539326,0.630631] f_measure 0.59904 [0.607843,0.591837] f_measure 0.521156 [0.489362,0.54717] f_measure 0.650739 [0.623656,0.672897] f_measure 0.690654 [0.666667,0.71028] f_measure 0.564731 [0.481928,0.632479] f_measure 0.62 [0.577778,0.654545] f_measure 0.521156 [0.489362,0.54717] f_measure 0.740626 [0.723404,0.754717] f_measure 0.62 [0.577778,0.654545] f_measure 0.647315 [0.588235,0.695652] f_measure 0.637944 [0.581395,0.684211] f_measure 0.609566 [0.561798,0.648649] f_measure 0.640867 [0.617021,0.660377] f_measure 0.64961 [0.606742,0.684685] f_measure 0.588374 [0.528736,0.637168] f_measure 0.53888 [0.477273,0.589286] f_measure 0.569521 [0.516854,0.612613] f_measure 0.770576 [0.757895,0.780952] f_measure 0.640867 [0.617021,0.660377] f_measure 0.549505 [0.554455,0.545455] f_measure 0.760578 [0.744681,0.773585] f_measure 0.680512 [0.673469,0.686275] f_measure 0.629588 [0.58427,0.666667] f_measure 0.600963 [0.574468,0.622642] f_measure 0.619075 [0.568182,0.660714] f_measure 0.64058 [0.608696,0.666667] f_measure 0.582726 [0.493827,0.655462] f_measure 0.710263 [0.681319,0.733945] f_measure 0.57039 [0.527473,0.605505] f_measure 0.584976 [0.506024,0.649573] f_measure 0.720674 [0.702128,0.735849] f_measure 0.673333 [0.6,0.733333] f_measure 0.650318 [0.615385,0.678899] f_measure 0.719318 [0.681818,0.75] f_measure 0.610823 [0.580645,0.635514] f_measure 0.630336 [0.593407,0.66055] f_measure 0.51103 [0.494845,0.524272] f_measure 0.61082 [0.597938,0.621359] f_measure 0.599026 [0.545455,0.642857] f_measure 0.659172 [0.613636,0.696429] f_measure 0.548243 [0.563107,0.536082] f_measure 0.630927 [0.610526,0.647619] f_measure 0.5 [0.444444,0.545455] f_measure 0.690652 [0.680412,0.699029] f_measure 0.687621 [0.635294,0.730435] f_measure 0.640867 [0.617021,0.660377] f_measure 0.616744 [0.55814,0.666667] f_measure 0.690281 [0.659341,0.715596] f_measure 0.56053 [0.531915,0.584906] f_measure 0.627554 [0.574713,0.672566] f_measure 0.74 [0.717391,0.759259] f_measure 0.789809 [0.769231,0.807339] f_measure 0.677258 [0.627907,0.719298] f_measure 0.7 [0.673913,0.722222] f_measure 0.718401 [0.674419,0.754386] f_measure 0.630336 [0.593407,0.66055] f_measure 0.589628 [0.549451,0.623853] f_measure 0.637944 [0.581395,0.684211] f_measure 0.549595 [0.554455,0.545455] f_measure 0.630556 [0.610526,0.647619] f_measure 0.740417 [0.729167,0.75] f_measure 0.670495 [0.659794,0.679612] f_measure 0.64 [0.608696,0.666667] f_measure 0.7 [0.7,0.7] f_measure 0.600644 [0.565217,0.62963] f_measure 0.556425 [0.441558,0.650407] f_measure 0.530331 [0.494624,0.560748] f_measure 0.620608 [0.612245,0.627451] f_measure 0.604516 [0.5,0.693548] f_measure 0.610273 [0.606061,0.613861] f_measure 0.627554 [0.574713,0.672566] f_measure 0.517662 [0.454545,0.571429] f_measure 0.616744 [0.55814,0.666667] f_measure 0.579152 [0.533333,0.618182] kappa 0.092742 kappa 0.192246 kappa -0.059063 kappa 0.030695 kappa 0.266802 kappa 0.22 kappa 0.18 kappa 0.257028 kappa 0.415323 kappa 0.257028 kappa 0.173387 kappa 0.124593 kappa 0.247967 kappa 0.055466 kappa 0.331984 kappa 0.34 kappa 0.361277 kappa 0.182004 kappa 0.369919 kappa 0.275654 kappa 0.370942 kappa 0.12 kappa 0.281437 kappa 0.379006 kappa 0.195171 kappa 0.17004 kappa 0.211045 kappa 0.038076 kappa 0.297189 kappa 0.37751 kappa 0.118852 kappa 0.232323 kappa 0.038076 kappa 0.478958 kappa 0.232323 kappa 0.285714 kappa 0.266802 kappa 0.210526 kappa 0.278557 kappa 0.291498 kappa 0.166667 kappa 0.066937 kappa 0.129555 kappa 0.54 kappa 0.278557 kappa 0.110672 kappa 0.519038 kappa 0.363817 kappa 0.251012 kappa 0.198397 kappa 0.229209 kappa 0.275654 kappa 0.156379 kappa 0.415323 kappa 0.133065 kappa 0.159836 kappa 0.438878 kappa 0.340206 kappa 0.294355 kappa 0.432049 kappa 0.216867 kappa 0.254032 kappa 0.023904 kappa 0.223108 kappa 0.188641 kappa 0.310345 kappa 0.114173 kappa 0.26 kappa -0.010101 kappa 0.38247 kappa 0.367347 kappa 0.278557 kappa 0.227642 kappa 0.375 kappa 0.117175 kappa 0.249188 kappa 0.476651 kappa 0.576613 kappa 0.349593 kappa 0.396135 kappa 0.429735 kappa 0.254032 kappa 0.173387 kappa 0.266802 kappa 0.107143 kappa 0.258814 kappa 0.48 kappa 0.341054 kappa 0.275362 kappa 0.403816 kappa 0.195171 kappa 0.107884 kappa 0.055466 kappa 0.244533 kappa 0.214876 kappa 0.223726 kappa 0.249188 kappa 0.027553 kappa 0.227642 kappa 0.151858 kb_relative_information_score 9.035275 kb_relative_information_score 19.163432 kb_relative_information_score -5.417366 kb_relative_information_score 2.95838 kb_relative_information_score 26.992737 kb_relative_information_score 20.915843 kb_relative_information_score 16.86458 kb_relative_information_score 24.967106 kb_relative_information_score 41.172158 kb_relative_information_score 24.967106 kb_relative_information_score 17.137801 kb_relative_information_score 13.086538 kb_relative_information_score 24.967106 kb_relative_information_score 4.984012 kb_relative_information_score 33.069632 kb_relative_information_score 33.069632 kb_relative_information_score 35.095263 kb_relative_information_score 18.890211 kb_relative_information_score 37.120895 kb_relative_information_score 26.992737 kb_relative_information_score 37.394115 kb_relative_information_score 11.060906 kb_relative_information_score 26.992737 kb_relative_information_score 37.394115 kb_relative_information_score 18.890211 kb_relative_information_score 16.86458 kb_relative_information_score 18.890211 kb_relative_information_score 2.68516 kb_relative_information_score 29.018369 kb_relative_information_score 37.120895 kb_relative_information_score 12.813317 kb_relative_information_score 22.941474 kb_relative_information_score 2.68516 kb_relative_information_score 47.249052 kb_relative_information_score 22.941474 kb_relative_information_score 29.018369 kb_relative_information_score 26.992737 kb_relative_information_score 20.915843 kb_relative_information_score 26.992737 kb_relative_information_score 29.018369 kb_relative_information_score 16.86458 kb_relative_information_score 6.736423 kb_relative_information_score 12.813317 kb_relative_information_score 53.325947 kb_relative_information_score 26.992737 kb_relative_information_score 8.762054 kb_relative_information_score 51.300315 kb_relative_information_score 35.095263 kb_relative_information_score 24.967106 kb_relative_information_score 18.890211 kb_relative_information_score 22.941474 kb_relative_information_score 26.992737 kb_relative_information_score 16.86458 kb_relative_information_score 41.172158 kb_relative_information_score 12.813317 kb_relative_information_score 16.86458 kb_relative_information_score 43.197789 kb_relative_information_score 35.095263 kb_relative_information_score 29.018369 kb_relative_information_score 43.197789 kb_relative_information_score 20.915843 kb_relative_information_score 24.967106 kb_relative_information_score 0.659528 kb_relative_information_score 20.915843 kb_relative_information_score 18.890211 kb_relative_information_score 31.044 kb_relative_information_score 8.762054 kb_relative_information_score 24.967106 kb_relative_information_score -1.366103 kb_relative_information_score 37.120895 kb_relative_information_score 37.120895 kb_relative_information_score 26.992737 kb_relative_information_score 23.214695 kb_relative_information_score 37.120895 kb_relative_information_score 11.060906 kb_relative_information_score 25.240327 kb_relative_information_score 47.522273 kb_relative_information_score 57.65043 kb_relative_information_score 35.368484 kb_relative_information_score 39.419747 kb_relative_information_score 43.197789 kb_relative_information_score 24.967106 kb_relative_information_score 17.137801 kb_relative_information_score 26.992737 kb_relative_information_score 9.035275 kb_relative_information_score 25.240327 kb_relative_information_score 47.522273 kb_relative_information_score 33.342852 kb_relative_information_score 27.265958 kb_relative_information_score 39.419747 kb_relative_information_score 18.890211 kb_relative_information_score 12.813317 kb_relative_information_score 4.984012 kb_relative_information_score 22.941474 kb_relative_information_score 23.214695 kb_relative_information_score 21.189064 kb_relative_information_score 25.240327 kb_relative_information_score 2.95838 kb_relative_information_score 23.214695 kb_relative_information_score 15.112169 mean_absolute_error 0.45 mean_absolute_error 0.4 mean_absolute_error 0.52 mean_absolute_error 0.48 mean_absolute_error 0.36 mean_absolute_error 0.39 mean_absolute_error 0.41 mean_absolute_error 0.37 mean_absolute_error 0.29 mean_absolute_error 0.37 mean_absolute_error 0.41 mean_absolute_error 0.43 mean_absolute_error 0.37 mean_absolute_error 0.47 mean_absolute_error 0.33 mean_absolute_error 0.33 mean_absolute_error 0.32 mean_absolute_error 0.4 mean_absolute_error 0.31 mean_absolute_error 0.36 mean_absolute_error 0.31 mean_absolute_error 0.44 mean_absolute_error 0.36 mean_absolute_error 0.31 mean_absolute_error 0.4 mean_absolute_error 0.41 mean_absolute_error 0.4 mean_absolute_error 0.48 mean_absolute_error 0.35 mean_absolute_error 0.31 mean_absolute_error 0.43 mean_absolute_error 0.38 mean_absolute_error 0.48 mean_absolute_error 0.26 mean_absolute_error 0.38 mean_absolute_error 0.35 mean_absolute_error 0.36 mean_absolute_error 0.39 mean_absolute_error 0.36 mean_absolute_error 0.35 mean_absolute_error 0.41 mean_absolute_error 0.46 mean_absolute_error 0.43 mean_absolute_error 0.23 mean_absolute_error 0.36 mean_absolute_error 0.45 mean_absolute_error 0.24 mean_absolute_error 0.32 mean_absolute_error 0.37 mean_absolute_error 0.4 mean_absolute_error 0.38 mean_absolute_error 0.36 mean_absolute_error 0.41 mean_absolute_error 0.29 mean_absolute_error 0.43 mean_absolute_error 0.41 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.35 mean_absolute_error 0.28 mean_absolute_error 0.39 mean_absolute_error 0.37 mean_absolute_error 0.49 mean_absolute_error 0.39 mean_absolute_error 0.4 mean_absolute_error 0.34 mean_absolute_error 0.45 mean_absolute_error 0.37 mean_absolute_error 0.5 mean_absolute_error 0.31 mean_absolute_error 0.31 mean_absolute_error 0.36 mean_absolute_error 0.38 mean_absolute_error 0.31 mean_absolute_error 0.44 mean_absolute_error 0.37 mean_absolute_error 0.26 mean_absolute_error 0.21 mean_absolute_error 0.32 mean_absolute_error 0.3 mean_absolute_error 0.28 mean_absolute_error 0.37 mean_absolute_error 0.41 mean_absolute_error 0.36 mean_absolute_error 0.45 mean_absolute_error 0.37 mean_absolute_error 0.26 mean_absolute_error 0.33 mean_absolute_error 0.36 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.43 mean_absolute_error 0.47 mean_absolute_error 0.38 mean_absolute_error 0.38 mean_absolute_error 0.39 mean_absolute_error 0.37 mean_absolute_error 0.48 mean_absolute_error 0.38 mean_absolute_error 0.42 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.495309 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 mean_prior_absolute_error 0.496248 number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [45,55] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] number_of_instances 100 [46,54] precision 0.549293 [0.511111,0.581818] precision 0.598864 [0.568182,0.625] precision 0.475568 [0.414634,0.525424] precision 0.518474 [0.477273,0.553571] precision 0.63795 [0.609756,0.661017] precision 0.615 [0.56,0.66] precision 0.595 [0.54,0.64] precision 0.632692 [0.583333,0.673077] precision 0.710668 [0.673913,0.740741] precision 0.632692 [0.583333,0.673077] precision 0.589374 [0.555556,0.618182] precision 0.566381 [0.538462,0.590164] precision 0.628202 [0.595238,0.655172] precision 0.530767 [0.489362,0.566038] precision 0.669399 [0.636364,0.696429] precision 0.675 [0.62,0.72] precision 0.686435 [0.627451,0.734694] precision 0.596469 [0.564103,0.622951] precision 0.688793 [0.666667,0.706897] precision 0.64167 [0.595745,0.679245] precision 0.689401 [0.682927,0.694915] precision 0.5632 [0.52,0.6] precision 0.646339 [0.588235,0.693878] precision 0.692173 [0.653061,0.72549] precision 0.601766 [0.553191,0.641509] precision 0.589205 [0.545455,0.625] precision 0.615667 [0.54386,0.674419] precision 0.52397 [0.469388,0.568627] precision 0.652644 [0.604167,0.692308] precision 0.692548 [0.645833,0.730769] precision 0.565068 [0.526316,0.596774] precision 0.62 [0.577778,0.654545] precision 0.52397 [0.469388,0.568627] precision 0.743617 [0.693878,0.784314] precision 0.62 [0.577778,0.654545] precision 0.647917 [0.625,0.666667] precision 0.63795 [0.609756,0.661017] precision 0.609253 [0.568182,0.642857] precision 0.643778 [0.591837,0.686275] precision 0.649351 [0.613636,0.678571] precision 0.587808 [0.547619,0.62069] precision 0.538188 [0.488372,0.578947] precision 0.569156 [0.522727,0.607143] precision 0.775 [0.72,0.82] precision 0.643778 [0.591837,0.686275] precision 0.5625 [0.5,0.613636] precision 0.763585 [0.714286,0.803922] precision 0.689763 [0.622642,0.744681] precision 0.629302 [0.590909,0.660714] precision 0.603842 [0.55102,0.647059] precision 0.618645 [0.581395,0.649123] precision 0.64167 [0.595745,0.679245] precision 0.585156 [0.555556,0.609375] precision 0.710668 [0.673913,0.740741] precision 0.570894 [0.521739,0.611111] precision 0.585781 [0.552632,0.612903] precision 0.723649 [0.673469,0.764706] precision 0.680879 [0.685714,0.676923] precision 0.650765 [0.608696,0.685185] precision 0.719217 [0.697674,0.736842] precision 0.61274 [0.5625,0.653846] precision 0.630797 [0.586957,0.666667] precision 0.517067 [0.461538,0.5625] precision 0.617628 [0.557692,0.666667] precision 0.598531 [0.55814,0.631579] precision 0.658874 [0.627907,0.684211] precision 0.565476 [0.5,0.619048] precision 0.635 [0.58,0.68] precision 0.5 [0.444444,0.545455] precision 0.698077 [0.634615,0.75] precision 0.68875 [0.675,0.7] precision 0.643778 [0.591837,0.686275] precision 0.618 [0.6,0.633333] precision 0.6907 [0.652174,0.722222] precision 0.561506 [0.520833,0.596154] precision 0.628284 [0.609756,0.644068] precision 0.74 [0.717391,0.759259] precision 0.789778 [0.777778,0.8] precision 0.6795 [0.675,0.683333] precision 0.7 [0.673913,0.722222] precision 0.71914 [0.707317,0.728814] precision 0.630797 [0.586957,0.666667] precision 0.589374 [0.555556,0.618182] precision 0.63795 [0.609756,0.661017] precision 0.558182 [0.509091,0.6] precision 0.632245 [0.591837,0.666667] precision 0.7432 [0.7,0.78] precision 0.674342 [0.627451,0.714286] precision 0.64 [0.608696,0.666667] precision 0.709018 [0.648148,0.76087] precision 0.601766 [0.553191,0.641509] precision 0.562592 [0.53125,0.588235] precision 0.530767 [0.489362,0.566038] precision 0.629185 [0.566038,0.680851] precision 0.623048 [0.633333,0.614286] precision 0.616548 [0.566038,0.659574] precision 0.628284 [0.609756,0.644068] precision 0.516979 [0.47619,0.551724] precision 0.618 [0.6,0.633333] precision 0.578766 [0.545455,0.607143] predictive_accuracy 0.55 predictive_accuracy 0.6 predictive_accuracy 0.48 predictive_accuracy 0.52 predictive_accuracy 0.64 predictive_accuracy 0.61 predictive_accuracy 0.59 predictive_accuracy 0.63 predictive_accuracy 0.71 predictive_accuracy 0.63 predictive_accuracy 0.59 predictive_accuracy 0.57 predictive_accuracy 0.63 predictive_accuracy 0.53 predictive_accuracy 0.67 predictive_accuracy 0.67 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.69 predictive_accuracy 0.64 predictive_accuracy 0.69 predictive_accuracy 0.56 predictive_accuracy 0.64 predictive_accuracy 0.69 predictive_accuracy 0.6 predictive_accuracy 0.59 predictive_accuracy 0.6 predictive_accuracy 0.52 predictive_accuracy 0.65 predictive_accuracy 0.69 predictive_accuracy 0.57 predictive_accuracy 0.62 predictive_accuracy 0.52 predictive_accuracy 0.74 predictive_accuracy 0.62 predictive_accuracy 0.65 predictive_accuracy 0.64 predictive_accuracy 0.61 predictive_accuracy 0.64 predictive_accuracy 0.65 predictive_accuracy 0.59 predictive_accuracy 0.54 predictive_accuracy 0.57 predictive_accuracy 0.77 predictive_accuracy 0.64 predictive_accuracy 0.55 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.63 predictive_accuracy 0.6 predictive_accuracy 0.62 predictive_accuracy 0.64 predictive_accuracy 0.59 predictive_accuracy 0.71 predictive_accuracy 0.57 predictive_accuracy 0.59 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.65 predictive_accuracy 0.72 predictive_accuracy 0.61 predictive_accuracy 0.63 predictive_accuracy 0.51 predictive_accuracy 0.61 predictive_accuracy 0.6 predictive_accuracy 0.66 predictive_accuracy 0.55 predictive_accuracy 0.63 predictive_accuracy 0.5 predictive_accuracy 0.69 predictive_accuracy 0.69 predictive_accuracy 0.64 predictive_accuracy 0.62 predictive_accuracy 0.69 predictive_accuracy 0.56 predictive_accuracy 0.63 predictive_accuracy 0.74 predictive_accuracy 0.79 predictive_accuracy 0.68 predictive_accuracy 0.7 predictive_accuracy 0.72 predictive_accuracy 0.63 predictive_accuracy 0.59 predictive_accuracy 0.64 predictive_accuracy 0.55 predictive_accuracy 0.63 predictive_accuracy 0.74 predictive_accuracy 0.67 predictive_accuracy 0.64 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.57 predictive_accuracy 0.53 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.61 predictive_accuracy 0.63 predictive_accuracy 0.52 predictive_accuracy 0.62 predictive_accuracy 0.58 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 prior_entropy 0.993642 recall 0.55 [0.5,0.592593] recall 0.6 [0.543478,0.648148] recall 0.48 [0.377778,0.563636] recall 0.52 [0.456522,0.574074] recall 0.64 [0.555556,0.709091] recall 0.61 [0.622222,0.6] recall 0.59 [0.6,0.581818] recall 0.63 [0.622222,0.636364] recall 0.71 [0.688889,0.727273] recall 0.63 [0.622222,0.636364] recall 0.59 [0.543478,0.62963] recall 0.57 [0.456522,0.666667] recall 0.63 [0.555556,0.690909] recall 0.53 [0.5,0.555556] recall 0.67 [0.622222,0.709091] recall 0.67 [0.688889,0.654545] recall 0.68 [0.711111,0.654545] recall 0.6 [0.488889,0.690909] recall 0.69 [0.622222,0.745455] recall 0.64 [0.622222,0.654545] recall 0.69 [0.608696,0.759259] recall 0.56 [0.565217,0.555556] recall 0.64 [0.666667,0.618182] recall 0.69 [0.695652,0.685185] recall 0.6 [0.577778,0.618182] recall 0.59 [0.533333,0.636364] recall 0.6 [0.688889,0.527273] recall 0.52 [0.511111,0.527273] recall 0.65 [0.644444,0.654545] recall 0.69 [0.688889,0.690909] recall 0.57 [0.444444,0.672727] recall 0.62 [0.577778,0.654545] recall 0.52 [0.511111,0.527273] recall 0.74 [0.755556,0.727273] recall 0.62 [0.577778,0.654545] recall 0.65 [0.555556,0.727273] recall 0.64 [0.555556,0.709091] recall 0.61 [0.555556,0.654545] recall 0.64 [0.644444,0.636364] recall 0.65 [0.6,0.690909] recall 0.59 [0.511111,0.654545] recall 0.54 [0.466667,0.6] recall 0.57 [0.511111,0.618182] recall 0.77 [0.8,0.745455] recall 0.64 [0.644444,0.636364] recall 0.55 [0.622222,0.490909] recall 0.76 [0.777778,0.745455] recall 0.68 [0.733333,0.636364] recall 0.63 [0.577778,0.672727] recall 0.6 [0.6,0.6] recall 0.62 [0.555556,0.672727] recall 0.64 [0.622222,0.654545] recall 0.59 [0.444444,0.709091] recall 0.71 [0.688889,0.727273] recall 0.57 [0.533333,0.6] recall 0.59 [0.466667,0.690909] recall 0.72 [0.733333,0.709091] recall 0.68 [0.533333,0.8] recall 0.65 [0.622222,0.672727] recall 0.72 [0.666667,0.763636] recall 0.61 [0.6,0.618182] recall 0.63 [0.6,0.654545] recall 0.51 [0.533333,0.490909] recall 0.61 [0.644444,0.581818] recall 0.6 [0.533333,0.654545] recall 0.66 [0.6,0.709091] recall 0.55 [0.644444,0.472727] recall 0.63 [0.644444,0.618182] recall 0.5 [0.444444,0.545455] recall 0.69 [0.733333,0.654545] recall 0.69 [0.6,0.763636] recall 0.64 [0.644444,0.636364] recall 0.62 [0.521739,0.703704] recall 0.69 [0.666667,0.709091] recall 0.56 [0.543478,0.574074] recall 0.63 [0.543478,0.703704] recall 0.74 [0.717391,0.759259] recall 0.79 [0.76087,0.814815] recall 0.68 [0.586957,0.759259] recall 0.7 [0.673913,0.722222] recall 0.72 [0.644444,0.781818] recall 0.63 [0.6,0.654545] recall 0.59 [0.543478,0.62963] recall 0.64 [0.555556,0.709091] recall 0.55 [0.608696,0.5] recall 0.63 [0.630435,0.62963] recall 0.74 [0.76087,0.722222] recall 0.67 [0.695652,0.648148] recall 0.64 [0.608696,0.666667] recall 0.7 [0.76087,0.648148] recall 0.6 [0.577778,0.618182] recall 0.57 [0.377778,0.727273] recall 0.53 [0.5,0.555556] recall 0.62 [0.666667,0.581818] recall 0.62 [0.413043,0.796296] recall 0.61 [0.652174,0.574074] recall 0.63 [0.543478,0.703704] recall 0.52 [0.434783,0.592593] recall 0.62 [0.521739,0.703704] recall 0.58 [0.521739,0.62963] relative_absolute_error 0.906806 relative_absolute_error 0.806049 relative_absolute_error 1.049849 relative_absolute_error 0.967259 relative_absolute_error 0.726818 relative_absolute_error 0.787387 relative_absolute_error 0.827765 relative_absolute_error 0.747008 relative_absolute_error 0.585493 relative_absolute_error 0.747008 relative_absolute_error 0.826201 relative_absolute_error 0.866503 relative_absolute_error 0.747008 relative_absolute_error 0.947108 relative_absolute_error 0.66625 relative_absolute_error 0.66625 relative_absolute_error 0.646061 relative_absolute_error 0.807576 relative_absolute_error 0.625871 relative_absolute_error 0.726818 relative_absolute_error 0.624688 relative_absolute_error 0.886654 relative_absolute_error 0.726818 relative_absolute_error 0.624688 relative_absolute_error 0.807576 relative_absolute_error 0.827765 relative_absolute_error 0.807576 relative_absolute_error 0.969091 relative_absolute_error 0.706629 relative_absolute_error 0.625871 relative_absolute_error 0.868144 relative_absolute_error 0.767197 relative_absolute_error 0.969091 relative_absolute_error 0.524924 relative_absolute_error 0.767197 relative_absolute_error 0.706629 relative_absolute_error 0.726818 relative_absolute_error 0.787387 relative_absolute_error 0.726818 relative_absolute_error 0.706629 relative_absolute_error 0.827765 relative_absolute_error 0.928712 relative_absolute_error 0.868144 relative_absolute_error 0.464356 relative_absolute_error 0.726818 relative_absolute_error 0.908523 relative_absolute_error 0.484546 relative_absolute_error 0.646061 relative_absolute_error 0.747008 relative_absolute_error 0.807576 relative_absolute_error 0.767197 relative_absolute_error 0.726818 relative_absolute_error 0.827765 relative_absolute_error 0.585493 relative_absolute_error 0.868144 relative_absolute_error 0.827765 relative_absolute_error 0.565303 relative_absolute_error 0.646061 relative_absolute_error 0.706629 relative_absolute_error 0.565303 relative_absolute_error 0.787387 relative_absolute_error 0.747008 relative_absolute_error 0.989281 relative_absolute_error 0.787387 relative_absolute_error 0.807576 relative_absolute_error 0.68644 relative_absolute_error 0.908523 relative_absolute_error 0.747008 relative_absolute_error 1.00947 relative_absolute_error 0.625871 relative_absolute_error 0.625871 relative_absolute_error 0.726818 relative_absolute_error 0.765747 relative_absolute_error 0.625871 relative_absolute_error 0.886654 relative_absolute_error 0.745596 relative_absolute_error 0.523932 relative_absolute_error 0.423176 relative_absolute_error 0.64484 relative_absolute_error 0.604537 relative_absolute_error 0.565303 relative_absolute_error 0.747008 relative_absolute_error 0.826201 relative_absolute_error 0.726818 relative_absolute_error 0.906806 relative_absolute_error 0.745596 relative_absolute_error 0.523932 relative_absolute_error 0.664991 relative_absolute_error 0.725444 relative_absolute_error 0.604537 relative_absolute_error 0.807576 relative_absolute_error 0.868144 relative_absolute_error 0.947108 relative_absolute_error 0.767197 relative_absolute_error 0.765747 relative_absolute_error 0.785898 relative_absolute_error 0.745596 relative_absolute_error 0.967259 relative_absolute_error 0.765747 relative_absolute_error 0.846352 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.497503 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_prior_squared_error 0.498445 root_mean_squared_error 0.67082 root_mean_squared_error 0.632456 root_mean_squared_error 0.72111 root_mean_squared_error 0.69282 root_mean_squared_error 0.6 root_mean_squared_error 0.6245 root_mean_squared_error 0.640312 root_mean_squared_error 0.608276 root_mean_squared_error 0.538516 root_mean_squared_error 0.608276 root_mean_squared_error 0.640312 root_mean_squared_error 0.655744 root_mean_squared_error 0.608276 root_mean_squared_error 0.685565 root_mean_squared_error 0.574456 root_mean_squared_error 0.574456 root_mean_squared_error 0.565685 root_mean_squared_error 0.632456 root_mean_squared_error 0.556776 root_mean_squared_error 0.6 root_mean_squared_error 0.556776 root_mean_squared_error 0.663325 root_mean_squared_error 0.6 root_mean_squared_error 0.556776 root_mean_squared_error 0.632456 root_mean_squared_error 0.640312 root_mean_squared_error 0.632456 root_mean_squared_error 0.69282 root_mean_squared_error 0.591608 root_mean_squared_error 0.556776 root_mean_squared_error 0.655744 root_mean_squared_error 0.616441 root_mean_squared_error 0.69282 root_mean_squared_error 0.509902 root_mean_squared_error 0.616441 root_mean_squared_error 0.591608 root_mean_squared_error 0.6 root_mean_squared_error 0.6245 root_mean_squared_error 0.6 root_mean_squared_error 0.591608 root_mean_squared_error 0.640312 root_mean_squared_error 0.678233 root_mean_squared_error 0.655744 root_mean_squared_error 0.479583 root_mean_squared_error 0.6 root_mean_squared_error 0.67082 root_mean_squared_error 0.489898 root_mean_squared_error 0.565685 root_mean_squared_error 0.608276 root_mean_squared_error 0.632456 root_mean_squared_error 0.616441 root_mean_squared_error 0.6 root_mean_squared_error 0.640312 root_mean_squared_error 0.538516 root_mean_squared_error 0.655744 root_mean_squared_error 0.640312 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.591608 root_mean_squared_error 0.52915 root_mean_squared_error 0.6245 root_mean_squared_error 0.608276 root_mean_squared_error 0.7 root_mean_squared_error 0.6245 root_mean_squared_error 0.632456 root_mean_squared_error 0.583095 root_mean_squared_error 0.67082 root_mean_squared_error 0.608276 root_mean_squared_error 0.707107 root_mean_squared_error 0.556776 root_mean_squared_error 0.556776 root_mean_squared_error 0.6 root_mean_squared_error 0.616441 root_mean_squared_error 0.556776 root_mean_squared_error 0.663325 root_mean_squared_error 0.608276 root_mean_squared_error 0.509902 root_mean_squared_error 0.458258 root_mean_squared_error 0.565685 root_mean_squared_error 0.547723 root_mean_squared_error 0.52915 root_mean_squared_error 0.608276 root_mean_squared_error 0.640312 root_mean_squared_error 0.6 root_mean_squared_error 0.67082 root_mean_squared_error 0.608276 root_mean_squared_error 0.509902 root_mean_squared_error 0.574456 root_mean_squared_error 0.6 root_mean_squared_error 0.547723 root_mean_squared_error 0.632456 root_mean_squared_error 0.655744 root_mean_squared_error 0.685565 root_mean_squared_error 0.616441 root_mean_squared_error 0.616441 root_mean_squared_error 0.6245 root_mean_squared_error 0.608276 root_mean_squared_error 0.69282 root_mean_squared_error 0.616441 root_mean_squared_error 0.648074 root_relative_squared_error 1.345826 root_relative_squared_error 1.268857 root_relative_squared_error 1.449458 root_relative_squared_error 1.389963 root_relative_squared_error 1.206022 root_relative_squared_error 1.255268 root_relative_squared_error 1.287052 root_relative_squared_error 1.222658 root_relative_squared_error 1.082438 root_relative_squared_error 1.222658 root_relative_squared_error 1.284619 root_relative_squared_error 1.315578 root_relative_squared_error 1.222658 root_relative_squared_error 1.375408 root_relative_squared_error 1.154678 root_relative_squared_error 1.154678 root_relative_squared_error 1.137049 root_relative_squared_error 1.271259 root_relative_squared_error 1.119141 root_relative_squared_error 1.206022 root_relative_squared_error 1.117026 root_relative_squared_error 1.330788 root_relative_squared_error 1.206022 root_relative_squared_error 1.117026 root_relative_squared_error 1.271259 root_relative_squared_error 1.287052 root_relative_squared_error 1.271259 root_relative_squared_error 1.392594 root_relative_squared_error 1.189154 root_relative_squared_error 1.119141 root_relative_squared_error 1.318069 root_relative_squared_error 1.23907 root_relative_squared_error 1.392594 root_relative_squared_error 1.024922 root_relative_squared_error 1.23907 root_relative_squared_error 1.189154 root_relative_squared_error 1.206022 root_relative_squared_error 1.255268 root_relative_squared_error 1.206022 root_relative_squared_error 1.189154 root_relative_squared_error 1.287052 root_relative_squared_error 1.363273 root_relative_squared_error 1.318069 root_relative_squared_error 0.96398 root_relative_squared_error 1.206022 root_relative_squared_error 1.348374 root_relative_squared_error 0.984713 root_relative_squared_error 1.137049 root_relative_squared_error 1.222658 root_relative_squared_error 1.271259 root_relative_squared_error 1.23907 root_relative_squared_error 1.206022 root_relative_squared_error 1.287052 root_relative_squared_error 1.082438 root_relative_squared_error 1.318069 root_relative_squared_error 1.287052 root_relative_squared_error 1.063611 root_relative_squared_error 1.137049 root_relative_squared_error 1.189154 root_relative_squared_error 1.063611 root_relative_squared_error 1.255268 root_relative_squared_error 1.222658 root_relative_squared_error 1.407026 root_relative_squared_error 1.255268 root_relative_squared_error 1.271259 root_relative_squared_error 1.172043 root_relative_squared_error 1.348374 root_relative_squared_error 1.222658 root_relative_squared_error 1.421311 root_relative_squared_error 1.119141 root_relative_squared_error 1.119141 root_relative_squared_error 1.206022 root_relative_squared_error 1.236728 root_relative_squared_error 1.119141 root_relative_squared_error 1.330788 root_relative_squared_error 1.220347 root_relative_squared_error 1.022985 root_relative_squared_error 0.919374 root_relative_squared_error 1.1349 root_relative_squared_error 1.098862 root_relative_squared_error 1.063611 root_relative_squared_error 1.222658 root_relative_squared_error 1.284619 root_relative_squared_error 1.206022 root_relative_squared_error 1.345826 root_relative_squared_error 1.220347 root_relative_squared_error 1.022985 root_relative_squared_error 1.152496 root_relative_squared_error 1.203743 root_relative_squared_error 1.098862 root_relative_squared_error 1.271259 root_relative_squared_error 1.318069 root_relative_squared_error 1.375408 root_relative_squared_error 1.23907 root_relative_squared_error 1.236728 root_relative_squared_error 1.252895 root_relative_squared_error 1.220347 root_relative_squared_error 1.389963 root_relative_squared_error 1.236728 root_relative_squared_error 1.300191 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 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 10 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 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 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 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 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 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis_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 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 10 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