476832 233 Nenad TomaĊĦev 1917 Supervised Classification predictive_accuracy 695 HubMiner.NWKNN(1) 1942 learning.supervised.methods.knn.NWKNN -- mValue weightExponent k cmet mValue 2.0 695 weightExponent 0.25 695 k 17 695 cmet floats:distances.primary.MinkowskiMetric:{"p":2.0} "combineBy":SUM 695 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 1681586 description https://api.openml.org/data/download/1681586/hubminer_generated_run8833357906301640889.xml -1 1681587 predictions https://api.openml.org/data/download/1681587/classificationPredictions4896094051505530279.arff area_under_roc_curve 0.791964 [0.791964,0.791964] average_cost 0 f_measure 0.732407 [0.799173,0.607843] kappa 0.407296 kb_relative_information_score 2048.839793 mean_absolute_error 0.33465 mean_prior_absolute_error 0.454491 number_of_instances 7680 [5000,2680] precision 0.731082 [0.786933,0.626883] predictive_accuracy 0.734375 prior_entropy 0.933487 recall 0.734375 [0.8118,0.589925] relative_absolute_error 0.736317 root_mean_prior_squared_error 0.476641 root_mean_squared_error 0.416571 root_relative_squared_error 0.873972 total_cost 0 area_under_roc_curve 0.845185 [0.845185,0.845185] area_under_roc_curve 0.813333 [0.813333,0.813333] area_under_roc_curve 0.802222 [0.802222,0.802222] area_under_roc_curve 0.804444 [0.804444,0.804444] area_under_roc_curve 0.730741 [0.730741,0.730741] area_under_roc_curve 0.782963 [0.782963,0.782963] area_under_roc_curve 0.791111 [0.791111,0.791111] area_under_roc_curve 0.798519 [0.798519,0.798519] area_under_roc_curve 0.736667 [0.736667,0.736667] area_under_roc_curve 0.843704 [0.843704,0.843704] area_under_roc_curve 0.763704 [0.763704,0.763704] area_under_roc_curve 0.822963 [0.822963,0.822963] area_under_roc_curve 0.791852 [0.791852,0.791852] area_under_roc_curve 0.751852 [0.751852,0.751852] area_under_roc_curve 0.737037 [0.737037,0.737037] area_under_roc_curve 0.801852 [0.801852,0.801852] area_under_roc_curve 0.70963 [0.70963,0.70963] area_under_roc_curve 0.839259 [0.839259,0.839259] area_under_roc_curve 0.771852 [0.771852,0.771852] area_under_roc_curve 0.837778 [0.837778,0.837778] area_under_roc_curve 0.836296 [0.836296,0.836296] area_under_roc_curve 0.732593 [0.732593,0.732593] area_under_roc_curve 0.872963 [0.872963,0.872963] area_under_roc_curve 0.72963 [0.72963,0.72963] area_under_roc_curve 0.854074 [0.854074,0.854074] area_under_roc_curve 0.827407 [0.827407,0.827407] area_under_roc_curve 0.798519 [0.798519,0.798519] area_under_roc_curve 0.787407 [0.787407,0.787407] area_under_roc_curve 0.798519 [0.798519,0.798519] area_under_roc_curve 0.784815 [0.784815,0.784815] area_under_roc_curve 0.754815 [0.754815,0.754815] area_under_roc_curve 0.781481 [0.781481,0.781481] area_under_roc_curve 0.799259 [0.799259,0.799259] area_under_roc_curve 0.819259 [0.819259,0.819259] area_under_roc_curve 0.844444 [0.844444,0.844444] area_under_roc_curve 0.800741 [0.800741,0.800741] area_under_roc_curve 0.801852 [0.801852,0.801852] area_under_roc_curve 0.83963 [0.83963,0.83963] area_under_roc_curve 0.694074 [0.694074,0.694074] area_under_roc_curve 0.701481 [0.701481,0.701481] area_under_roc_curve 0.788889 [0.788889,0.788889] area_under_roc_curve 0.798519 [0.798519,0.798519] area_under_roc_curve 0.724444 [0.724444,0.724444] area_under_roc_curve 0.756667 [0.756667,0.756667] area_under_roc_curve 0.693704 [0.693704,0.693704] area_under_roc_curve 0.794815 [0.794815,0.794815] area_under_roc_curve 0.782222 [0.782222,0.782222] area_under_roc_curve 0.853333 [0.853333,0.853333] area_under_roc_curve 0.88963 [0.88963,0.88963] area_under_roc_curve 0.731481 [0.731481,0.731481] area_under_roc_curve 0.863704 [0.863704,0.863704] area_under_roc_curve 0.802593 [0.802593,0.802593] area_under_roc_curve 0.665926 [0.665926,0.665926] area_under_roc_curve 0.794074 [0.794074,0.794074] area_under_roc_curve 0.805185 [0.805185,0.805185] area_under_roc_curve 0.683704 [0.683704,0.683704] area_under_roc_curve 0.812593 [0.812593,0.812593] area_under_roc_curve 0.722963 [0.722963,0.722963] area_under_roc_curve 0.815556 [0.815556,0.815556] area_under_roc_curve 0.892593 [0.892593,0.892593] area_under_roc_curve 0.801481 [0.801481,0.801481] area_under_roc_curve 0.825926 [0.825926,0.825926] area_under_roc_curve 0.825185 [0.825185,0.825185] area_under_roc_curve 0.828889 [0.828889,0.828889] area_under_roc_curve 0.788889 [0.788889,0.788889] area_under_roc_curve 0.737778 [0.737778,0.737778] area_under_roc_curve 0.874815 [0.874815,0.874815] area_under_roc_curve 0.765185 [0.765185,0.765185] area_under_roc_curve 0.861481 [0.861481,0.861481] area_under_roc_curve 0.787037 [0.787037,0.787037] area_under_roc_curve 0.78963 [0.78963,0.78963] area_under_roc_curve 0.72963 [0.72963,0.72963] area_under_roc_curve 0.835556 [0.835556,0.835556] area_under_roc_curve 0.889259 [0.889259,0.889259] area_under_roc_curve 0.743333 [0.743333,0.743333] area_under_roc_curve 0.892593 [0.892593,0.892593] area_under_roc_curve 0.795185 [0.795185,0.795185] area_under_roc_curve 0.815556 [0.815556,0.815556] area_under_roc_curve 0.827407 [0.827407,0.827407] area_under_roc_curve 0.845185 [0.845185,0.845185] area_under_roc_curve 0.788462 [0.788462,0.788462] area_under_roc_curve 0.837692 [0.837692,0.837692] area_under_roc_curve 0.743077 [0.743077,0.743077] area_under_roc_curve 0.829231 [0.829231,0.829231] area_under_roc_curve 0.893077 [0.893077,0.893077] area_under_roc_curve 0.732308 [0.732308,0.732308] area_under_roc_curve 0.803077 [0.803077,0.803077] area_under_roc_curve 0.787692 [0.787692,0.787692] area_under_roc_curve 0.736923 [0.736923,0.736923] area_under_roc_curve 0.776923 [0.776923,0.776923] area_under_roc_curve 0.749615 [0.749615,0.749615] area_under_roc_curve 0.777692 [0.777692,0.777692] area_under_roc_curve 0.820769 [0.820769,0.820769] area_under_roc_curve 0.824615 [0.824615,0.824615] area_under_roc_curve 0.826538 [0.826538,0.826538] area_under_roc_curve 0.817308 [0.817308,0.817308] area_under_roc_curve 0.83 [0.83,0.83] area_under_roc_curve 0.749615 [0.749615,0.749615] area_under_roc_curve 0.808462 [0.808462,0.808462] area_under_roc_curve 0.764615 [0.764615,0.764615] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.737811 [0.803922,0.615385] f_measure 0.711592 [0.784314,0.576923] f_measure 0.714286 [0.78,0.592593] f_measure 0.728375 [0.787879,0.618182] f_measure 0.659155 [0.745098,0.5] f_measure 0.737811 [0.803922,0.615385] f_measure 0.780113 [0.828283,0.690909] f_measure 0.706095 [0.757895,0.610169] f_measure 0.693949 [0.744681,0.6] f_measure 0.727294 [0.814815,0.565217] f_measure 0.662338 [0.74,0.518519] f_measure 0.787892 [0.846154,0.68] f_measure 0.718186 [0.770833,0.62069] f_measure 0.634708 [0.747664,0.425532] f_measure 0.719852 [0.8,0.571429] f_measure 0.72605 [0.792079,0.603774] f_measure 0.61039 [0.7,0.444444] f_measure 0.792208 [0.84,0.703704] f_measure 0.727294 [0.814815,0.565217] f_measure 0.778231 [0.831683,0.679245] f_measure 0.766234 [0.82,0.666667] f_measure 0.731377 [0.811321,0.583333] f_measure 0.795044 [0.833333,0.724138] f_measure 0.696863 [0.776699,0.54902] f_measure 0.768023 [0.816327,0.678571] f_measure 0.754244 [0.808081,0.654545] f_measure 0.782766 [0.821053,0.711864] f_measure 0.716472 [0.77551,0.607143] f_measure 0.681838 [0.769231,0.52] f_measure 0.728375 [0.787879,0.618182] f_measure 0.677653 [0.773585,0.5] f_measure 0.731377 [0.811321,0.583333] f_measure 0.746532 [0.819048,0.612245] f_measure 0.754244 [0.808081,0.654545] f_measure 0.775943 [0.834951,0.666667] f_measure 0.734865 [0.807692,0.6] f_measure 0.715884 [0.803738,0.553191] f_measure 0.758118 [0.795699,0.688525] f_measure 0.662338 [0.74,0.518519] f_measure 0.677653 [0.773585,0.5] f_measure 0.678848 [0.742268,0.561404] f_measure 0.75214 [0.811881,0.641509] f_measure 0.693171 [0.780952,0.530612] f_measure 0.755924 [0.804124,0.666667] f_measure 0.678848 [0.742268,0.561404] f_measure 0.711592 [0.784314,0.576923] f_measure 0.659155 [0.745098,0.5] f_measure 0.775943 [0.834951,0.666667] f_measure 0.833001 [0.865979,0.77193] f_measure 0.723223 [0.796117,0.588235] f_measure 0.796898 [0.822222,0.75] f_measure 0.758239 [0.830189,0.625] f_measure 0.647779 [0.732673,0.490566] f_measure 0.704515 [0.792453,0.541667] f_measure 0.728375 [0.787879,0.618182] f_measure 0.617784 [0.718447,0.431373] f_measure 0.77804 [0.854545,0.636364] f_measure 0.685373 [0.764706,0.538462] f_measure 0.790249 [0.843137,0.692308] f_measure 0.807309 [0.845361,0.736842] f_measure 0.677653 [0.773585,0.5] f_measure 0.754564 [0.833333,0.608696] f_measure 0.76403 [0.823529,0.653846] f_measure 0.737811 [0.803922,0.615385] f_measure 0.74026 [0.8,0.62963] f_measure 0.685373 [0.764706,0.538462] f_measure 0.838826 [0.886792,0.75] f_measure 0.696863 [0.776699,0.54902] f_measure 0.754244 [0.808081,0.654545] f_measure 0.737811 [0.803922,0.615385] f_measure 0.758239 [0.830189,0.625] f_measure 0.666947 [0.729167,0.551724] f_measure 0.761379 [0.826923,0.64] f_measure 0.793757 [0.862385,0.666667] f_measure 0.696863 [0.776699,0.54902] f_measure 0.818182 [0.86,0.740741] f_measure 0.766234 [0.82,0.666667] f_measure 0.72255 [0.818182,0.545455] f_measure 0.688826 [0.785047,0.510638] f_measure 0.780113 [0.828283,0.690909] f_measure 0.734159 [0.803922,0.6] f_measure 0.76865 [0.804348,0.7] f_measure 0.680991 [0.764706,0.52] f_measure 0.77523 [0.831683,0.666667] f_measure 0.792607 [0.833333,0.714286] f_measure 0.676824 [0.736842,0.561404] f_measure 0.748787 [0.811881,0.627451] f_measure 0.781702 [0.849057,0.652174] f_measure 0.657895 [0.74,0.5] f_measure 0.724895 [0.787879,0.603774] f_measure 0.68891 [0.75,0.571429] f_measure 0.736842 [0.8,0.615385] f_measure 0.715566 [0.8,0.553191] f_measure 0.751096 [0.808081,0.641509] f_measure 0.77398 [0.854545,0.619048] f_measure 0.742655 [0.819048,0.595745] f_measure 0.763158 [0.82,0.653846] f_measure 0.69984 [0.792453,0.521739] f_measure 0.757844 [0.826923,0.625] f_measure 0.745988 [0.815534,0.612245] kappa 0.419744 kappa 0.361718 kappa 0.372593 kappa 0.40617 kappa 0.245667 kappa 0.419744 kappa 0.51928 kappa 0.37087 kappa 0.348837 kappa 0.387917 kappa 0.258519 kappa 0.527607 kappa 0.393266 kappa 0.181174 kappa 0.374468 kappa 0.395966 kappa 0.144444 kappa 0.543704 kappa 0.387917 kappa 0.51102 kappa 0.486667 kappa 0.398907 kappa 0.558739 kappa 0.326872 kappa 0.495266 kappa 0.462725 kappa 0.534991 kappa 0.383103 kappa 0.291411 kappa 0.40617 kappa 0.278689 kappa 0.398907 kappa 0.434043 kappa 0.462725 kappa 0.502471 kappa 0.409509 kappa 0.363135 kappa 0.48864 kappa 0.258519 kappa 0.278689 kappa 0.304803 kappa 0.453493 kappa 0.314894 kappa 0.47165 kappa 0.304803 kappa 0.361718 kappa 0.245667 kappa 0.502471 kappa 0.638498 kappa 0.385405 kappa 0.579522 kappa 0.459016 kappa 0.223384 kappa 0.338798 kappa 0.40617 kappa 0.151273 kappa 0.501215 kappa 0.303693 kappa 0.535795 kappa 0.582882 kappa 0.278689 kappa 0.449126 kappa 0.477769 kappa 0.419744 kappa 0.42963 kappa 0.303693 kappa 0.639344 kappa 0.326872 kappa 0.462725 kappa 0.419744 kappa 0.459016 kappa 0.282951 kappa 0.468558 kappa 0.536703 kappa 0.326872 kappa 0.600741 kappa 0.486667 kappa 0.376518 kappa 0.302481 kappa 0.51928 kappa 0.404389 kappa 0.510029 kappa 0.285266 kappa 0.498447 kappa 0.548961 kappa 0.301471 kappa 0.439441 kappa 0.504886 kappa 0.24 kappa 0.391768 kappa 0.323442 kappa 0.415385 kappa 0.356452 kappa 0.449695 kappa 0.484746 kappa 0.417742 kappa 0.473846 kappa 0.319218 kappa 0.453674 kappa 0.428797 kb_relative_information_score 26.908762 kb_relative_information_score 22.226079 kb_relative_information_score 20.730057 kb_relative_information_score 20.304428 kb_relative_information_score 15.012959 kb_relative_information_score 19.731583 kb_relative_information_score 18.729224 kb_relative_information_score 19.334761 kb_relative_information_score 12.611897 kb_relative_information_score 25.569931 kb_relative_information_score 18.379707 kb_relative_information_score 26.125758 kb_relative_information_score 17.548748 kb_relative_information_score 16.397677 kb_relative_information_score 19.077266 kb_relative_information_score 23.564819 kb_relative_information_score 11.104367 kb_relative_information_score 22.4088 kb_relative_information_score 22.166095 kb_relative_information_score 27.392668 kb_relative_information_score 23.29276 kb_relative_information_score 15.43422 kb_relative_information_score 27.886317 kb_relative_information_score 17.055948 kb_relative_information_score 25.213676 kb_relative_information_score 21.956731 kb_relative_information_score 15.468473 kb_relative_information_score 17.673654 kb_relative_information_score 19.23794 kb_relative_information_score 19.672212 kb_relative_information_score 16.96158 kb_relative_information_score 20.28484 kb_relative_information_score 21.002917 kb_relative_information_score 22.469837 kb_relative_information_score 26.562796 kb_relative_information_score 26.615151 kb_relative_information_score 23.93142 kb_relative_information_score 23.475436 kb_relative_information_score 11.781395 kb_relative_information_score 11.137607 kb_relative_information_score 16.685473 kb_relative_information_score 20.293032 kb_relative_information_score 18.300595 kb_relative_information_score 13.532484 kb_relative_information_score 10.311252 kb_relative_information_score 18.483558 kb_relative_information_score 20.006707 kb_relative_information_score 26.622885 kb_relative_information_score 31.723723 kb_relative_information_score 15.154695 kb_relative_information_score 21.946854 kb_relative_information_score 22.11608 kb_relative_information_score 10.196927 kb_relative_information_score 20.378147 kb_relative_information_score 21.289712 kb_relative_information_score 10.707197 kb_relative_information_score 25.514844 kb_relative_information_score 14.743275 kb_relative_information_score 25.349524 kb_relative_information_score 27.57774 kb_relative_information_score 23.150836 kb_relative_information_score 24.744994 kb_relative_information_score 22.186532 kb_relative_information_score 21.476016 kb_relative_information_score 19.858364 kb_relative_information_score 13.193729 kb_relative_information_score 30.132921 kb_relative_information_score 19.1175 kb_relative_information_score 25.02742 kb_relative_information_score 18.881776 kb_relative_information_score 20.988779 kb_relative_information_score 12.894693 kb_relative_information_score 21.423623 kb_relative_information_score 29.674918 kb_relative_information_score 15.297465 kb_relative_information_score 32.195962 kb_relative_information_score 22.206001 kb_relative_information_score 22.536148 kb_relative_information_score 23.970026 kb_relative_information_score 24.83476 kb_relative_information_score 20.900812 kb_relative_information_score 20.326857 kb_relative_information_score 16.593868 kb_relative_information_score 23.270168 kb_relative_information_score 26.410655 kb_relative_information_score 14.140774 kb_relative_information_score 20.510793 kb_relative_information_score 22.111982 kb_relative_information_score 12.900492 kb_relative_information_score 17.428908 kb_relative_information_score 17.70159 kb_relative_information_score 18.697947 kb_relative_information_score 22.660894 kb_relative_information_score 22.125429 kb_relative_information_score 24.381004 kb_relative_information_score 22.792528 kb_relative_information_score 20.697917 kb_relative_information_score 17.589993 kb_relative_information_score 21.243992 kb_relative_information_score 19.18553 mean_absolute_error 0.300802 mean_absolute_error 0.322699 mean_absolute_error 0.335552 mean_absolute_error 0.334467 mean_absolute_error 0.362486 mean_absolute_error 0.341572 mean_absolute_error 0.34342 mean_absolute_error 0.34006 mean_absolute_error 0.374157 mean_absolute_error 0.305776 mean_absolute_error 0.344203 mean_absolute_error 0.310109 mean_absolute_error 0.347327 mean_absolute_error 0.350061 mean_absolute_error 0.343774 mean_absolute_error 0.318207 mean_absolute_error 0.378051 mean_absolute_error 0.324075 mean_absolute_error 0.325803 mean_absolute_error 0.300079 mean_absolute_error 0.321657 mean_absolute_error 0.361491 mean_absolute_error 0.300519 mean_absolute_error 0.350845 mean_absolute_error 0.311723 mean_absolute_error 0.330294 mean_absolute_error 0.36923 mean_absolute_error 0.349657 mean_absolute_error 0.341554 mean_absolute_error 0.34186 mean_absolute_error 0.355346 mean_absolute_error 0.342945 mean_absolute_error 0.332453 mean_absolute_error 0.327601 mean_absolute_error 0.305021 mean_absolute_error 0.301225 mean_absolute_error 0.318111 mean_absolute_error 0.319017 mean_absolute_error 0.381742 mean_absolute_error 0.385964 mean_absolute_error 0.356067 mean_absolute_error 0.338968 mean_absolute_error 0.345428 mean_absolute_error 0.374494 mean_absolute_error 0.389681 mean_absolute_error 0.344175 mean_absolute_error 0.336426 mean_absolute_error 0.305988 mean_absolute_error 0.274858 mean_absolute_error 0.364437 mean_absolute_error 0.331658 mean_absolute_error 0.326935 mean_absolute_error 0.387374 mean_absolute_error 0.333217 mean_absolute_error 0.330045 mean_absolute_error 0.380698 mean_absolute_error 0.309913 mean_absolute_error 0.361669 mean_absolute_error 0.308988 mean_absolute_error 0.300878 mean_absolute_error 0.31863 mean_absolute_error 0.312728 mean_absolute_error 0.329633 mean_absolute_error 0.328384 mean_absolute_error 0.337375 mean_absolute_error 0.37249 mean_absolute_error 0.291843 mean_absolute_error 0.337637 mean_absolute_error 0.314806 mean_absolute_error 0.344663 mean_absolute_error 0.33794 mean_absolute_error 0.372699 mean_absolute_error 0.335337 mean_absolute_error 0.292287 mean_absolute_error 0.366594 mean_absolute_error 0.277713 mean_absolute_error 0.329244 mean_absolute_error 0.326733 mean_absolute_error 0.315105 mean_absolute_error 0.311559 mean_absolute_error 0.323923 mean_absolute_error 0.332728 mean_absolute_error 0.350048 mean_absolute_error 0.318732 mean_absolute_error 0.30335 mean_absolute_error 0.363602 mean_absolute_error 0.329164 mean_absolute_error 0.32864 mean_absolute_error 0.369499 mean_absolute_error 0.342322 mean_absolute_error 0.345294 mean_absolute_error 0.337327 mean_absolute_error 0.315014 mean_absolute_error 0.325115 mean_absolute_error 0.310028 mean_absolute_error 0.320831 mean_absolute_error 0.329702 mean_absolute_error 0.343917 mean_absolute_error 0.329239 mean_absolute_error 0.339815 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.455001 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 mean_prior_absolute_error 0.452427 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.736404 [0.788462,0.64] precision 0.70989 [0.769231,0.6] precision 0.714286 [0.78,0.592593] precision 0.729724 [0.795918,0.607143] precision 0.656863 [0.730769,0.52] precision 0.736404 [0.788462,0.64] precision 0.781275 [0.836735,0.678571] precision 0.716721 [0.8,0.5625] precision 0.707792 [0.795455,0.545455] precision 0.732529 [0.758621,0.684211] precision 0.662338 [0.74,0.518519] precision 0.788276 [0.814815,0.73913] precision 0.725907 [0.804348,0.580645] precision 0.631009 [0.701754,0.5] precision 0.719008 [0.763636,0.636364] precision 0.725079 [0.784314,0.615385] precision 0.61039 [0.7,0.444444] precision 0.792208 [0.84,0.703704] precision 0.732529 [0.758621,0.684211] precision 0.777517 [0.823529,0.692308] precision 0.766234 [0.82,0.666667] precision 0.732375 [0.767857,0.666667] precision 0.802189 [0.869565,0.677419] precision 0.694621 [0.754717,0.583333] precision 0.770861 [0.833333,0.655172] precision 0.7555 [0.816327,0.642857] precision 0.792884 [0.866667,0.65625] precision 0.719622 [0.791667,0.586207] precision 0.679194 [0.740741,0.565217] precision 0.729724 [0.795918,0.607143] precision 0.675788 [0.732143,0.571429] precision 0.732375 [0.767857,0.666667] precision 0.746753 [0.781818,0.681818] precision 0.7555 [0.816327,0.642857] precision 0.775208 [0.811321,0.708333] precision 0.733735 [0.777778,0.652174] precision 0.717783 [0.754386,0.65] precision 0.775321 [0.860465,0.617647] precision 0.662338 [0.74,0.518519] precision 0.675788 [0.732143,0.571429] precision 0.684388 [0.765957,0.533333] precision 0.751298 [0.803922,0.653846] precision 0.691263 [0.745455,0.590909] precision 0.760901 [0.829787,0.633333] precision 0.684388 [0.765957,0.533333] precision 0.70989 [0.769231,0.6] precision 0.656863 [0.730769,0.52] precision 0.775208 [0.811321,0.708333] precision 0.837414 [0.893617,0.733333] precision 0.721484 [0.773585,0.625] precision 0.828098 [0.925,0.648649] precision 0.760668 [0.785714,0.714286] precision 0.646422 [0.72549,0.5] precision 0.704082 [0.75,0.619048] precision 0.729724 [0.795918,0.607143] precision 0.614035 [0.698113,0.458333] precision 0.797428 [0.783333,0.823529] precision 0.683377 [0.75,0.56] precision 0.789431 [0.826923,0.72] precision 0.811909 [0.87234,0.7] precision 0.675788 [0.732143,0.571429] precision 0.76218 [0.775862,0.736842] precision 0.762917 [0.807692,0.68] precision 0.736404 [0.788462,0.64] precision 0.74026 [0.8,0.62963] precision 0.683377 [0.75,0.56] precision 0.845547 [0.839286,0.857143] precision 0.694621 [0.754717,0.583333] precision 0.7555 [0.816327,0.642857] precision 0.736404 [0.788462,0.64] precision 0.760668 [0.785714,0.714286] precision 0.675051 [0.76087,0.516129] precision 0.761006 [0.796296,0.695652] precision 0.809487 [0.79661,0.833333] precision 0.694621 [0.754717,0.583333] precision 0.818182 [0.86,0.740741] precision 0.766234 [0.82,0.666667] precision 0.73453 [0.75,0.705882] precision 0.688859 [0.736842,0.6] precision 0.781275 [0.836735,0.678571] precision 0.73254 [0.788462,0.625] precision 0.790874 [0.880952,0.617647] precision 0.678728 [0.75,0.541667] precision 0.774427 [0.823529,0.68] precision 0.800153 [0.869565,0.666667] precision 0.688266 [0.777778,0.516129] precision 0.747843 [0.803922,0.64] precision 0.785244 [0.803571,0.75] precision 0.657895 [0.74,0.5] precision 0.72636 [0.795918,0.592593] precision 0.69733 [0.782609,0.533333] precision 0.736842 [0.8,0.615385] precision 0.714172 [0.763636,0.619048] precision 0.752457 [0.816327,0.62963] precision 0.793311 [0.783333,0.8125] precision 0.742424 [0.781818,0.666667] precision 0.763158 [0.82,0.653846] precision 0.698684 [0.75,0.6] precision 0.757133 [0.796296,0.681818] precision 0.744463 [0.792453,0.652174] predictive_accuracy 0.74026 predictive_accuracy 0.714286 predictive_accuracy 0.714286 predictive_accuracy 0.727273 predictive_accuracy 0.662338 predictive_accuracy 0.74026 predictive_accuracy 0.779221 predictive_accuracy 0.701299 predictive_accuracy 0.688312 predictive_accuracy 0.74026 predictive_accuracy 0.662338 predictive_accuracy 0.792208 predictive_accuracy 0.714286 predictive_accuracy 0.649351 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.61039 predictive_accuracy 0.792208 predictive_accuracy 0.74026 predictive_accuracy 0.779221 predictive_accuracy 0.766234 predictive_accuracy 0.74026 predictive_accuracy 0.792208 predictive_accuracy 0.701299 predictive_accuracy 0.766234 predictive_accuracy 0.753247 predictive_accuracy 0.779221 predictive_accuracy 0.714286 predictive_accuracy 0.688312 predictive_accuracy 0.727273 predictive_accuracy 0.688312 predictive_accuracy 0.74026 predictive_accuracy 0.753247 predictive_accuracy 0.753247 predictive_accuracy 0.779221 predictive_accuracy 0.74026 predictive_accuracy 0.727273 predictive_accuracy 0.753247 predictive_accuracy 0.662338 predictive_accuracy 0.688312 predictive_accuracy 0.675325 predictive_accuracy 0.753247 predictive_accuracy 0.701299 predictive_accuracy 0.753247 predictive_accuracy 0.675325 predictive_accuracy 0.714286 predictive_accuracy 0.662338 predictive_accuracy 0.779221 predictive_accuracy 0.831169 predictive_accuracy 0.727273 predictive_accuracy 0.792208 predictive_accuracy 0.766234 predictive_accuracy 0.649351 predictive_accuracy 0.714286 predictive_accuracy 0.727273 predictive_accuracy 0.623377 predictive_accuracy 0.792208 predictive_accuracy 0.688312 predictive_accuracy 0.792208 predictive_accuracy 0.805195 predictive_accuracy 0.688312 predictive_accuracy 0.766234 predictive_accuracy 0.766234 predictive_accuracy 0.74026 predictive_accuracy 0.74026 predictive_accuracy 0.688312 predictive_accuracy 0.844156 predictive_accuracy 0.701299 predictive_accuracy 0.753247 predictive_accuracy 0.74026 predictive_accuracy 0.766234 predictive_accuracy 0.662338 predictive_accuracy 0.766234 predictive_accuracy 0.805195 predictive_accuracy 0.701299 predictive_accuracy 0.818182 predictive_accuracy 0.766234 predictive_accuracy 0.74026 predictive_accuracy 0.701299 predictive_accuracy 0.779221 predictive_accuracy 0.736842 predictive_accuracy 0.763158 predictive_accuracy 0.684211 predictive_accuracy 0.776316 predictive_accuracy 0.789474 predictive_accuracy 0.671053 predictive_accuracy 0.75 predictive_accuracy 0.789474 predictive_accuracy 0.657895 predictive_accuracy 0.723684 predictive_accuracy 0.684211 predictive_accuracy 0.736842 predictive_accuracy 0.723684 predictive_accuracy 0.75 predictive_accuracy 0.789474 predictive_accuracy 0.75 predictive_accuracy 0.763158 predictive_accuracy 0.710526 predictive_accuracy 0.763158 predictive_accuracy 0.75 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 prior_entropy 0.933487 recall 0.74026 [0.82,0.592593] recall 0.714286 [0.8,0.555556] recall 0.714286 [0.78,0.592593] recall 0.727273 [0.78,0.62963] recall 0.662338 [0.76,0.481481] recall 0.74026 [0.82,0.592593] recall 0.779221 [0.82,0.703704] recall 0.701299 [0.72,0.666667] recall 0.688312 [0.7,0.666667] recall 0.74026 [0.88,0.481481] recall 0.662338 [0.74,0.518519] recall 0.792208 [0.88,0.62963] recall 0.714286 [0.74,0.666667] recall 0.649351 [0.8,0.37037] recall 0.727273 [0.84,0.518519] recall 0.727273 [0.8,0.592593] recall 0.61039 [0.7,0.444444] recall 0.792208 [0.84,0.703704] recall 0.74026 [0.88,0.481481] recall 0.779221 [0.84,0.666667] recall 0.766234 [0.82,0.666667] recall 0.74026 [0.86,0.518519] recall 0.792208 [0.8,0.777778] recall 0.701299 [0.8,0.518519] recall 0.766234 [0.8,0.703704] recall 0.753247 [0.8,0.666667] recall 0.779221 [0.78,0.777778] recall 0.714286 [0.76,0.62963] recall 0.688312 [0.8,0.481481] recall 0.727273 [0.78,0.62963] recall 0.688312 [0.82,0.444444] recall 0.74026 [0.86,0.518519] recall 0.753247 [0.86,0.555556] recall 0.753247 [0.8,0.666667] recall 0.779221 [0.86,0.62963] recall 0.74026 [0.84,0.555556] recall 0.727273 [0.86,0.481481] recall 0.753247 [0.74,0.777778] recall 0.662338 [0.74,0.518519] recall 0.688312 [0.82,0.444444] recall 0.675325 [0.72,0.592593] recall 0.753247 [0.82,0.62963] recall 0.701299 [0.82,0.481481] recall 0.753247 [0.78,0.703704] recall 0.675325 [0.72,0.592593] recall 0.714286 [0.8,0.555556] recall 0.662338 [0.76,0.481481] recall 0.779221 [0.86,0.62963] recall 0.831169 [0.84,0.814815] recall 0.727273 [0.82,0.555556] recall 0.792208 [0.74,0.888889] recall 0.766234 [0.88,0.555556] recall 0.649351 [0.74,0.481481] recall 0.714286 [0.84,0.481481] recall 0.727273 [0.78,0.62963] recall 0.623377 [0.74,0.407407] recall 0.792208 [0.94,0.518519] recall 0.688312 [0.78,0.518519] recall 0.792208 [0.86,0.666667] recall 0.805195 [0.82,0.777778] recall 0.688312 [0.82,0.444444] recall 0.766234 [0.9,0.518519] recall 0.766234 [0.84,0.62963] recall 0.74026 [0.82,0.592593] recall 0.74026 [0.8,0.62963] recall 0.688312 [0.78,0.518519] recall 0.844156 [0.94,0.666667] recall 0.701299 [0.8,0.518519] recall 0.753247 [0.8,0.666667] recall 0.74026 [0.82,0.592593] recall 0.766234 [0.88,0.555556] recall 0.662338 [0.7,0.592593] recall 0.766234 [0.86,0.592593] recall 0.805195 [0.94,0.555556] recall 0.701299 [0.8,0.518519] recall 0.818182 [0.86,0.740741] recall 0.766234 [0.82,0.666667] recall 0.74026 [0.9,0.444444] recall 0.701299 [0.84,0.444444] recall 0.779221 [0.82,0.703704] recall 0.736842 [0.82,0.576923] recall 0.763158 [0.74,0.807692] recall 0.684211 [0.78,0.5] recall 0.776316 [0.84,0.653846] recall 0.789474 [0.8,0.769231] recall 0.671053 [0.7,0.615385] recall 0.75 [0.82,0.615385] recall 0.789474 [0.9,0.576923] recall 0.657895 [0.74,0.5] recall 0.723684 [0.78,0.615385] recall 0.684211 [0.72,0.615385] recall 0.736842 [0.8,0.615385] recall 0.723684 [0.84,0.5] recall 0.75 [0.8,0.653846] recall 0.789474 [0.94,0.5] recall 0.75 [0.86,0.538462] recall 0.763158 [0.82,0.653846] recall 0.710526 [0.84,0.461538] recall 0.763158 [0.86,0.576923] recall 0.75 [0.84,0.576923] relative_absolute_error 0.661102 relative_absolute_error 0.709228 relative_absolute_error 0.737476 relative_absolute_error 0.735092 relative_absolute_error 0.796672 relative_absolute_error 0.750706 relative_absolute_error 0.754769 relative_absolute_error 0.747384 relative_absolute_error 0.822322 relative_absolute_error 0.672035 relative_absolute_error 0.756489 relative_absolute_error 0.681556 relative_absolute_error 0.763355 relative_absolute_error 0.769364 relative_absolute_error 0.755546 relative_absolute_error 0.699354 relative_absolute_error 0.830879 relative_absolute_error 0.712252 relative_absolute_error 0.716049 relative_absolute_error 0.659513 relative_absolute_error 0.706936 relative_absolute_error 0.794484 relative_absolute_error 0.66048 relative_absolute_error 0.771087 relative_absolute_error 0.685104 relative_absolute_error 0.72592 relative_absolute_error 0.811494 relative_absolute_error 0.768477 relative_absolute_error 0.750666 relative_absolute_error 0.751339 relative_absolute_error 0.780978 relative_absolute_error 0.753725 relative_absolute_error 0.730665 relative_absolute_error 0.72 relative_absolute_error 0.670374 relative_absolute_error 0.662032 relative_absolute_error 0.699144 relative_absolute_error 0.701135 relative_absolute_error 0.838991 relative_absolute_error 0.848271 relative_absolute_error 0.782563 relative_absolute_error 0.744984 relative_absolute_error 0.75918 relative_absolute_error 0.823062 relative_absolute_error 0.856439 relative_absolute_error 0.756428 relative_absolute_error 0.739398 relative_absolute_error 0.672499 relative_absolute_error 0.604083 relative_absolute_error 0.800959 relative_absolute_error 0.728918 relative_absolute_error 0.718537 relative_absolute_error 0.85137 relative_absolute_error 0.732343 relative_absolute_error 0.725373 relative_absolute_error 0.836697 relative_absolute_error 0.681127 relative_absolute_error 0.794875 relative_absolute_error 0.679094 relative_absolute_error 0.661268 relative_absolute_error 0.700284 relative_absolute_error 0.687313 relative_absolute_error 0.724467 relative_absolute_error 0.721722 relative_absolute_error 0.741482 relative_absolute_error 0.818657 relative_absolute_error 0.641413 relative_absolute_error 0.742057 relative_absolute_error 0.69188 relative_absolute_error 0.7575 relative_absolute_error 0.742724 relative_absolute_error 0.819118 relative_absolute_error 0.737002 relative_absolute_error 0.642389 relative_absolute_error 0.805701 relative_absolute_error 0.610358 relative_absolute_error 0.723611 relative_absolute_error 0.718094 relative_absolute_error 0.692536 relative_absolute_error 0.684744 relative_absolute_error 0.715968 relative_absolute_error 0.735431 relative_absolute_error 0.773711 relative_absolute_error 0.704495 relative_absolute_error 0.670495 relative_absolute_error 0.80367 relative_absolute_error 0.727552 relative_absolute_error 0.726395 relative_absolute_error 0.816706 relative_absolute_error 0.756635 relative_absolute_error 0.763205 relative_absolute_error 0.745595 relative_absolute_error 0.696276 relative_absolute_error 0.718603 relative_absolute_error 0.685257 relative_absolute_error 0.709134 relative_absolute_error 0.728742 relative_absolute_error 0.760162 relative_absolute_error 0.727718 relative_absolute_error 0.751095 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.477175 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_prior_squared_error 0.47447 root_mean_squared_error 0.391654 root_mean_squared_error 0.412595 root_mean_squared_error 0.417513 root_mean_squared_error 0.417722 root_mean_squared_error 0.451456 root_mean_squared_error 0.418866 root_mean_squared_error 0.426094 root_mean_squared_error 0.422888 root_mean_squared_error 0.451144 root_mean_squared_error 0.38844 root_mean_squared_error 0.434572 root_mean_squared_error 0.389747 root_mean_squared_error 0.428636 root_mean_squared_error 0.446737 root_mean_squared_error 0.4387 root_mean_squared_error 0.407699 root_mean_squared_error 0.465951 root_mean_squared_error 0.394822 root_mean_squared_error 0.423583 root_mean_squared_error 0.398035 root_mean_squared_error 0.399969 root_mean_squared_error 0.44454 root_mean_squared_error 0.374573 root_mean_squared_error 0.450403 root_mean_squared_error 0.38387 root_mean_squared_error 0.396165 root_mean_squared_error 0.425314 root_mean_squared_error 0.41982 root_mean_squared_error 0.42108 root_mean_squared_error 0.422574 root_mean_squared_error 0.44061 root_mean_squared_error 0.415776 root_mean_squared_error 0.4042 root_mean_squared_error 0.407116 root_mean_squared_error 0.390615 root_mean_squared_error 0.40607 root_mean_squared_error 0.404018 root_mean_squared_error 0.398713 root_mean_squared_error 0.465539 root_mean_squared_error 0.46334 root_mean_squared_error 0.416036 root_mean_squared_error 0.421231 root_mean_squared_error 0.448086 root_mean_squared_error 0.446087 root_mean_squared_error 0.47095 root_mean_squared_error 0.423197 root_mean_squared_error 0.418862 root_mean_squared_error 0.384063 root_mean_squared_error 0.362081 root_mean_squared_error 0.446576 root_mean_squared_error 0.392205 root_mean_squared_error 0.409707 root_mean_squared_error 0.466296 root_mean_squared_error 0.415355 root_mean_squared_error 0.411191 root_mean_squared_error 0.465145 root_mean_squared_error 0.400942 root_mean_squared_error 0.45018 root_mean_squared_error 0.393805 root_mean_squared_error 0.364914 root_mean_squared_error 0.417629 root_mean_squared_error 0.398439 root_mean_squared_error 0.402523 root_mean_squared_error 0.406334 root_mean_squared_error 0.42044 root_mean_squared_error 0.444 root_mean_squared_error 0.367582 root_mean_squared_error 0.439172 root_mean_squared_error 0.385025 root_mean_squared_error 0.41297 root_mean_squared_error 0.411306 root_mean_squared_error 0.451335 root_mean_squared_error 0.398852 root_mean_squared_error 0.367096 root_mean_squared_error 0.436629 root_mean_squared_error 0.354641 root_mean_squared_error 0.411043 root_mean_squared_error 0.410065 root_mean_squared_error 0.398323 root_mean_squared_error 0.388165 root_mean_squared_error 0.416898 root_mean_squared_error 0.400973 root_mean_squared_error 0.43713 root_mean_squared_error 0.403646 root_mean_squared_error 0.365885 root_mean_squared_error 0.451944 root_mean_squared_error 0.412895 root_mean_squared_error 0.410931 root_mean_squared_error 0.443042 root_mean_squared_error 0.427775 root_mean_squared_error 0.435592 root_mean_squared_error 0.423065 root_mean_squared_error 0.406092 root_mean_squared_error 0.397481 root_mean_squared_error 0.395437 root_mean_squared_error 0.396411 root_mean_squared_error 0.398369 root_mean_squared_error 0.432622 root_mean_squared_error 0.406268 root_mean_squared_error 0.426636 root_relative_squared_error 0.820777 root_relative_squared_error 0.864663 root_relative_squared_error 0.874969 root_relative_squared_error 0.875406 root_relative_squared_error 0.946102 root_relative_squared_error 0.877803 root_relative_squared_error 0.892951 root_relative_squared_error 0.886233 root_relative_squared_error 0.945447 root_relative_squared_error 0.814041 root_relative_squared_error 0.910718 root_relative_squared_error 0.816779 root_relative_squared_error 0.898278 root_relative_squared_error 0.936212 root_relative_squared_error 0.919368 root_relative_squared_error 0.854401 root_relative_squared_error 0.976478 root_relative_squared_error 0.827416 root_relative_squared_error 0.887688 root_relative_squared_error 0.834148 root_relative_squared_error 0.838201 root_relative_squared_error 0.931607 root_relative_squared_error 0.784981 root_relative_squared_error 0.943894 root_relative_squared_error 0.804464 root_relative_squared_error 0.830229 root_relative_squared_error 0.891316 root_relative_squared_error 0.879803 root_relative_squared_error 0.882442 root_relative_squared_error 0.885575 root_relative_squared_error 0.923371 root_relative_squared_error 0.871327 root_relative_squared_error 0.847068 root_relative_squared_error 0.85318 root_relative_squared_error 0.818598 root_relative_squared_error 0.850988 root_relative_squared_error 0.846688 root_relative_squared_error 0.83557 root_relative_squared_error 0.975615 root_relative_squared_error 0.971006 root_relative_squared_error 0.871872 root_relative_squared_error 0.882759 root_relative_squared_error 0.939039 root_relative_squared_error 0.93485 root_relative_squared_error 0.986954 root_relative_squared_error 0.88688 root_relative_squared_error 0.877796 root_relative_squared_error 0.804868 root_relative_squared_error 0.7588 root_relative_squared_error 0.935874 root_relative_squared_error 0.821931 root_relative_squared_error 0.85861 root_relative_squared_error 0.977202 root_relative_squared_error 0.870445 root_relative_squared_error 0.861719 root_relative_squared_error 0.974789 root_relative_squared_error 0.84024 root_relative_squared_error 0.943428 root_relative_squared_error 0.825283 root_relative_squared_error 0.764739 root_relative_squared_error 0.875211 root_relative_squared_error 0.834995 root_relative_squared_error 0.843554 root_relative_squared_error 0.85154 root_relative_squared_error 0.881103 root_relative_squared_error 0.930477 root_relative_squared_error 0.770329 root_relative_squared_error 0.920357 root_relative_squared_error 0.806883 root_relative_squared_error 0.865448 root_relative_squared_error 0.861961 root_relative_squared_error 0.945848 root_relative_squared_error 0.835861 root_relative_squared_error 0.769311 root_relative_squared_error 0.915028 root_relative_squared_error 0.743209 root_relative_squared_error 0.861409 root_relative_squared_error 0.859359 root_relative_squared_error 0.834751 root_relative_squared_error 0.813465 root_relative_squared_error 0.87866 root_relative_squared_error 0.845097 root_relative_squared_error 0.921303 root_relative_squared_error 0.85073 root_relative_squared_error 0.771145 root_relative_squared_error 0.952524 root_relative_squared_error 0.870223 root_relative_squared_error 0.866085 root_relative_squared_error 0.933762 root_relative_squared_error 0.901586 root_relative_squared_error 0.91806 root_relative_squared_error 0.891658 root_relative_squared_error 0.855886 root_relative_squared_error 0.837736 root_relative_squared_error 0.833429 root_relative_squared_error 0.835481 root_relative_squared_error 0.839609 root_relative_squared_error 0.9118 root_relative_squared_error 0.856256 root_relative_squared_error 0.899184 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0