476884 233 Nenad TomaĊĦev 1917 Supervised Classification predictive_accuracy 697 HubMiner.ANHBNN(1) 1994 learning.supervised.methods.knn.ANHBNN -- k cmet thetaValue k 12 697 cmet floats:distances.primary.MinkowskiMetric:{"p":2.0} "combineBy":SUM 697 thetaValue 0 697 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 1681690 description https://api.openml.org/data/download/1681690/hubminer_generated_run8139319670353087639.xml -1 1681691 predictions https://api.openml.org/data/download/1681691/classificationPredictions7474279825475368989.arff area_under_roc_curve 0.729696 [0.72809,0.732691] average_cost 0 f_measure 0.68202 [0.768949,0.51984] kappa 0.290665 kb_relative_information_score 2089.716408 mean_absolute_error 0.319115 mean_prior_absolute_error 0.454491 number_of_instances 7680 [5000,2680] precision 0.679301 [0.742458,0.561472] predictive_accuracy 0.688021 prior_entropy 0.933487 recall 0.688021 [0.7974,0.483955] relative_absolute_error 0.702137 root_mean_prior_squared_error 0.476641 root_mean_squared_error 0.496623 root_relative_squared_error 1.041923 total_cost 0 area_under_roc_curve 0.704271 [0.697778,0.716296] area_under_roc_curve 0.717816 [0.717037,0.719259] area_under_roc_curve 0.697504 [0.695556,0.701111] area_under_roc_curve 0.714459 [0.716667,0.71037] area_under_roc_curve 0.641987 [0.639259,0.647037] area_under_roc_curve 0.751279 [0.75037,0.752963] area_under_roc_curve 0.768966 [0.767407,0.771852] area_under_roc_curve 0.776186 [0.775926,0.776667] area_under_roc_curve 0.734334 [0.734074,0.734815] area_under_roc_curve 0.754671 [0.752593,0.758519] area_under_roc_curve 0.771323 [0.767037,0.779259] area_under_roc_curve 0.745897 [0.741481,0.754074] area_under_roc_curve 0.793555 [0.794074,0.792593] area_under_roc_curve 0.714218 [0.716296,0.71037] area_under_roc_curve 0.640375 [0.637778,0.645185] area_under_roc_curve 0.706118 [0.702222,0.713333] area_under_roc_curve 0.610813 [0.601852,0.627407] area_under_roc_curve 0.778114 [0.776296,0.781481] area_under_roc_curve 0.694228 [0.691111,0.7] area_under_roc_curve 0.802078 [0.8,0.805926] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.641299 [0.64,0.643704] area_under_roc_curve 0.788235 [0.791481,0.782222] area_under_roc_curve 0.733978 [0.725926,0.748889] area_under_roc_curve 0.805647 [0.806296,0.804444] area_under_roc_curve 0.785296 [0.785556,0.784815] area_under_roc_curve 0.724127 [0.725556,0.721481] area_under_roc_curve 0.746926 [0.746667,0.747407] area_under_roc_curve 0.686797 [0.686667,0.687037] area_under_roc_curve 0.751573 [0.752222,0.75037] area_under_roc_curve 0.693175 [0.688889,0.701111] area_under_roc_curve 0.702309 [0.705556,0.696296] area_under_roc_curve 0.755979 [0.757407,0.753333] area_under_roc_curve 0.765147 [0.765926,0.763704] area_under_roc_curve 0.802573 [0.802963,0.801852] area_under_roc_curve 0.759067 [0.762963,0.751852] area_under_roc_curve 0.761092 [0.761481,0.76037] area_under_roc_curve 0.76494 [0.767407,0.76037] area_under_roc_curve 0.69594 [0.688148,0.71037] area_under_roc_curve 0.638567 [0.632593,0.64963] area_under_roc_curve 0.72457 [0.727037,0.72] area_under_roc_curve 0.765705 [0.765185,0.766667] area_under_roc_curve 0.649841 [0.645556,0.657778] area_under_roc_curve 0.659668 [0.658889,0.661111] area_under_roc_curve 0.628682 [0.63037,0.625556] area_under_roc_curve 0.723834 [0.723704,0.724074] area_under_roc_curve 0.706888 [0.707407,0.705926] area_under_roc_curve 0.738167 [0.737778,0.738889] area_under_roc_curve 0.8395 [0.83963,0.839259] area_under_roc_curve 0.730669 [0.72963,0.732593] area_under_roc_curve 0.777008 [0.772593,0.785185] area_under_roc_curve 0.750053 [0.741481,0.765926] area_under_roc_curve 0.585132 [0.583704,0.587778] area_under_roc_curve 0.738519 [0.738519,0.738519] area_under_roc_curve 0.762881 [0.757037,0.773704] area_under_roc_curve 0.583059 [0.571111,0.605185] area_under_roc_curve 0.760837 [0.748889,0.782963] area_under_roc_curve 0.69722 [0.688519,0.713333] area_under_roc_curve 0.761414 [0.757778,0.768148] area_under_roc_curve 0.810433 [0.806667,0.817407] area_under_roc_curve 0.745233 [0.739259,0.756296] area_under_roc_curve 0.756546 [0.751481,0.765926] area_under_roc_curve 0.687263 [0.685185,0.691111] area_under_roc_curve 0.767278 [0.767407,0.767037] area_under_roc_curve 0.72406 [0.721852,0.728148] area_under_roc_curve 0.731005 [0.728148,0.736296] area_under_roc_curve 0.829091 [0.83,0.827407] area_under_roc_curve 0.687744 [0.685926,0.691111] area_under_roc_curve 0.811169 [0.81,0.813333] area_under_roc_curve 0.754497 [0.755926,0.751852] area_under_roc_curve 0.712516 [0.714074,0.70963] area_under_roc_curve 0.696671 [0.694074,0.701481] area_under_roc_curve 0.692169 [0.690741,0.694815] area_under_roc_curve 0.773045 [0.768889,0.780741] area_under_roc_curve 0.630481 [0.620741,0.648519] area_under_roc_curve 0.784464 [0.784074,0.785185] area_under_roc_curve 0.728389 [0.728519,0.728148] area_under_roc_curve 0.734218 [0.736296,0.73037] area_under_roc_curve 0.775123 [0.768889,0.786667] area_under_roc_curve 0.785897 [0.781481,0.794074] area_under_roc_curve 0.701184 [0.695,0.713077] area_under_roc_curve 0.799494 [0.799231,0.8] area_under_roc_curve 0.697176 [0.687308,0.716154] area_under_roc_curve 0.726204 [0.724231,0.73] area_under_roc_curve 0.873077 [0.873077,0.873077] area_under_roc_curve 0.635658 [0.635,0.636923] area_under_roc_curve 0.728229 [0.727308,0.73] area_under_roc_curve 0.694332 [0.695385,0.692308] area_under_roc_curve 0.640547 [0.639231,0.643077] area_under_roc_curve 0.700577 [0.703077,0.695769] area_under_roc_curve 0.686771 [0.687692,0.685] area_under_roc_curve 0.733796 [0.730769,0.739615] area_under_roc_curve 0.79418 [0.786154,0.809615] area_under_roc_curve 0.760891 [0.756154,0.77] area_under_roc_curve 0.789231 [0.789231,0.789231] area_under_roc_curve 0.735759 [0.736154,0.735] area_under_roc_curve 0.832581 [0.831923,0.833846] area_under_roc_curve 0.65919 [0.655769,0.665769] area_under_roc_curve 0.782814 [0.783077,0.782308] area_under_roc_curve 0.696468 [0.694231,0.700769] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.656261 [0.770642,0.444444] f_measure 0.624898 [0.707071,0.472727] f_measure 0.650767 [0.727273,0.509091] f_measure 0.641327 [0.708333,0.517241] f_measure 0.634708 [0.747664,0.425532] f_measure 0.696863 [0.776699,0.54902] f_measure 0.699959 [0.772277,0.566038] f_measure 0.72605 [0.792079,0.603774] f_measure 0.714286 [0.78,0.592593] f_measure 0.660482 [0.785714,0.428571] f_measure 0.737811 [0.803922,0.615385] f_measure 0.72255 [0.818182,0.545455] f_measure 0.74026 [0.8,0.62963] f_measure 0.575603 [0.732143,0.285714] f_measure 0.628811 [0.730769,0.44] f_measure 0.632936 [0.72549,0.461538] f_measure 0.584416 [0.68,0.407407] f_measure 0.72605 [0.792079,0.603774] f_measure 0.644144 [0.737864,0.470588] f_measure 0.68376 [0.788991,0.488889] f_measure 0.699959 [0.772277,0.566038] f_measure 0.639315 [0.763636,0.409091] f_measure 0.719852 [0.8,0.571429] f_measure 0.723223 [0.796117,0.588235] f_measure 0.746532 [0.819048,0.612245] f_measure 0.711592 [0.784314,0.576923] f_measure 0.692566 [0.75,0.586207] f_measure 0.673869 [0.752475,0.528302] f_measure 0.632936 [0.72549,0.461538] f_measure 0.715884 [0.803738,0.553191] f_measure 0.602298 [0.711538,0.4] f_measure 0.688826 [0.785047,0.510638] f_measure 0.711259 [0.807339,0.533333] f_measure 0.693171 [0.780952,0.530612] f_measure 0.702506 [0.767677,0.581818] f_measure 0.705903 [0.810811,0.511628] f_measure 0.746532 [0.819048,0.612245] f_measure 0.666947 [0.729167,0.551724] f_measure 0.632189 [0.767857,0.380952] f_measure 0.628811 [0.730769,0.44] f_measure 0.719852 [0.8,0.571429] f_measure 0.704515 [0.792453,0.541667] f_measure 0.68376 [0.788991,0.488889] f_measure 0.639809 [0.742857,0.44898] f_measure 0.605351 [0.666667,0.491803] f_measure 0.634708 [0.747664,0.425532] f_measure 0.655325 [0.75,0.48] f_measure 0.66649 [0.761905,0.489796] f_measure 0.74026 [0.8,0.62963] f_measure 0.731377 [0.811321,0.583333] f_measure 0.716472 [0.77551,0.607143] f_measure 0.734865 [0.807692,0.6] f_measure 0.602298 [0.711538,0.4] f_measure 0.634708 [0.747664,0.425532] f_measure 0.693171 [0.780952,0.530612] f_measure 0.602298 [0.711538,0.4] f_measure 0.705903 [0.810811,0.511628] f_measure 0.731377 [0.811321,0.583333] f_measure 0.711259 [0.807339,0.533333] f_measure 0.766234 [0.82,0.666667] f_measure 0.693171 [0.780952,0.530612] f_measure 0.677893 [0.792793,0.465116] f_measure 0.602298 [0.711538,0.4] f_measure 0.653156 [0.721649,0.526316] f_measure 0.673869 [0.752475,0.528302] f_measure 0.704515 [0.792453,0.541667] f_measure 0.749583 [0.815534,0.627451] f_measure 0.655325 [0.75,0.48] f_measure 0.742943 [0.82243,0.595745] f_measure 0.699959 [0.772277,0.566038] f_measure 0.700023 [0.796296,0.521739] f_measure 0.632936 [0.72549,0.461538] f_measure 0.655325 [0.75,0.48] f_measure 0.72255 [0.818182,0.545455] f_measure 0.639809 [0.742857,0.44898] f_measure 0.693949 [0.744681,0.6] f_measure 0.666947 [0.729167,0.551724] f_measure 0.677653 [0.773585,0.5] f_measure 0.705903 [0.810811,0.511628] f_measure 0.72605 [0.792079,0.603774] f_measure 0.628726 [0.747664,0.4] f_measure 0.740758 [0.791667,0.642857] f_measure 0.694932 [0.796296,0.5] f_measure 0.6959 [0.772277,0.54902] f_measure 0.781167 [0.817204,0.711864] f_measure 0.680991 [0.764706,0.52] f_measure 0.688477 [0.780952,0.510638] f_measure 0.620094 [0.707071,0.45283] f_measure 0.601224 [0.728972,0.355556] f_measure 0.599261 [0.673684,0.45614] f_measure 0.669456 [0.752475,0.509804] f_measure 0.6959 [0.772277,0.54902] f_measure 0.706175 [0.807339,0.511628] f_measure 0.672495 [0.747475,0.528302] f_measure 0.734158 [0.825688,0.55814] f_measure 0.661388 [0.761905,0.468085] f_measure 0.707575 [0.784314,0.56] f_measure 0.617978 [0.735849,0.391304] f_measure 0.722665 [0.814815,0.545455] f_measure 0.672495 [0.747475,0.528302] kappa 0.227838 kappa 0.179949 kappa 0.236504 kappa 0.227794 kappa 0.181174 kappa 0.326872 kappa 0.338439 kappa 0.395966 kappa 0.372593 kappa 0.237624 kappa 0.419744 kappa 0.376518 kappa 0.42963 kappa 0.04703 kappa 0.173313 kappa 0.187641 kappa 0.087407 kappa 0.395966 kappa 0.209806 kappa 0.289611 kappa 0.338439 kappa 0.189474 kappa 0.374468 kappa 0.385405 kappa 0.434043 kappa 0.361718 kappa 0.338109 kappa 0.280911 kappa 0.187641 kappa 0.363135 kappa 0.114264 kappa 0.302481 kappa 0.351384 kappa 0.314894 kappa 0.349614 kappa 0.339191 kappa 0.434043 kappa 0.282951 kappa 0.174092 kappa 0.173313 kappa 0.374468 kappa 0.338798 kappa 0.289611 kappa 0.195745 kappa 0.165676 kappa 0.181174 kappa 0.232362 kappa 0.255319 kappa 0.42963 kappa 0.398907 kappa 0.383103 kappa 0.409509 kappa 0.114264 kappa 0.181174 kappa 0.314894 kappa 0.114264 kappa 0.339191 kappa 0.398907 kappa 0.351384 kappa 0.486667 kappa 0.314894 kappa 0.276257 kappa 0.114264 kappa 0.249187 kappa 0.280911 kappa 0.338798 kappa 0.443938 kappa 0.232362 kappa 0.423789 kappa 0.338439 kappa 0.326709 kappa 0.187641 kappa 0.232362 kappa 0.376518 kappa 0.195745 kappa 0.348837 kappa 0.282951 kappa 0.278689 kappa 0.339191 kappa 0.395966 kappa 0.15625 kappa 0.436202 kappa 0.305648 kappa 0.321429 kappa 0.533237 kappa 0.285266 kappa 0.295161 kappa 0.160061 kappa 0.09375 kappa 0.133824 kappa 0.262422 kappa 0.321429 kappa 0.330537 kappa 0.275915 kappa 0.394295 kappa 0.233871 kappa 0.344828 kappa 0.13355 kappa 0.368771 kappa 0.275915 kb_relative_information_score 17.006661 kb_relative_information_score 14.908245 kb_relative_information_score 14.913317 kb_relative_information_score 12.505409 kb_relative_information_score 14.685415 kb_relative_information_score 22.890747 kb_relative_information_score 24.236923 kb_relative_information_score 23.309146 kb_relative_information_score 25.251692 kb_relative_information_score 20.499489 kb_relative_information_score 28.196945 kb_relative_information_score 26.243529 kb_relative_information_score 29.46462 kb_relative_information_score 11.394103 kb_relative_information_score 10.836663 kb_relative_information_score 15.605164 kb_relative_information_score 3.736946 kb_relative_information_score 25.879169 kb_relative_information_score 16.660899 kb_relative_information_score 26.770208 kb_relative_information_score 25.089311 kb_relative_information_score 14.066664 kb_relative_information_score 26.831958 kb_relative_information_score 28.932381 kb_relative_information_score 30.309021 kb_relative_information_score 25.148945 kb_relative_information_score 17.85978 kb_relative_information_score 24.945012 kb_relative_information_score 13.754658 kb_relative_information_score 27.760913 kb_relative_information_score 11.084796 kb_relative_information_score 21.315937 kb_relative_information_score 26.469229 kb_relative_information_score 25.867055 kb_relative_information_score 25.164561 kb_relative_information_score 25.192024 kb_relative_information_score 31.264705 kb_relative_information_score 20.030604 kb_relative_information_score 19.672695 kb_relative_information_score 13.285643 kb_relative_information_score 23.653638 kb_relative_information_score 24.430684 kb_relative_information_score 20.801742 kb_relative_information_score 12.877439 kb_relative_information_score 8.941691 kb_relative_information_score 14.265528 kb_relative_information_score 17.783495 kb_relative_information_score 21.756049 kb_relative_information_score 31.993875 kb_relative_information_score 26.020028 kb_relative_information_score 24.240206 kb_relative_information_score 25.809952 kb_relative_information_score 6.75992 kb_relative_information_score 16.666368 kb_relative_information_score 24.752592 kb_relative_information_score 8.34941 kb_relative_information_score 28.00013 kb_relative_information_score 22.618404 kb_relative_information_score 25.742818 kb_relative_information_score 34.165485 kb_relative_information_score 22.126514 kb_relative_information_score 22.344657 kb_relative_information_score 10.421308 kb_relative_information_score 18.605209 kb_relative_information_score 16.984268 kb_relative_information_score 23.318145 kb_relative_information_score 32.740562 kb_relative_information_score 15.720022 kb_relative_information_score 32.410589 kb_relative_information_score 21.586175 kb_relative_information_score 25.842622 kb_relative_information_score 17.215543 kb_relative_information_score 14.911517 kb_relative_information_score 27.371239 kb_relative_information_score 12.779021 kb_relative_information_score 24.290865 kb_relative_information_score 18.873019 kb_relative_information_score 21.305638 kb_relative_information_score 26.59958 kb_relative_information_score 27.452003 kb_relative_information_score 16.565743 kb_relative_information_score 25.05241 kb_relative_information_score 21.705538 kb_relative_information_score 18.082448 kb_relative_information_score 33.150875 kb_relative_information_score 13.623363 kb_relative_information_score 20.493409 kb_relative_information_score 11.356879 kb_relative_information_score 9.012824 kb_relative_information_score 11.794417 kb_relative_information_score 15.581247 kb_relative_information_score 21.166967 kb_relative_information_score 26.117763 kb_relative_information_score 21.483946 kb_relative_information_score 31.927327 kb_relative_information_score 16.479172 kb_relative_information_score 30.152232 kb_relative_information_score 11.282672 kb_relative_information_score 29.05237 kb_relative_information_score 14.065676 mean_absolute_error 0.342063 mean_absolute_error 0.34946 mean_absolute_error 0.352089 mean_absolute_error 0.364217 mean_absolute_error 0.360129 mean_absolute_error 0.310754 mean_absolute_error 0.303779 mean_absolute_error 0.305546 mean_absolute_error 0.29359 mean_absolute_error 0.321578 mean_absolute_error 0.28414 mean_absolute_error 0.291098 mean_absolute_error 0.275208 mean_absolute_error 0.369685 mean_absolute_error 0.374462 mean_absolute_error 0.346527 mean_absolute_error 0.412983 mean_absolute_error 0.293205 mean_absolute_error 0.341307 mean_absolute_error 0.284207 mean_absolute_error 0.295326 mean_absolute_error 0.360724 mean_absolute_error 0.285995 mean_absolute_error 0.280322 mean_absolute_error 0.27125 mean_absolute_error 0.29636 mean_absolute_error 0.339957 mean_absolute_error 0.296437 mean_absolute_error 0.360215 mean_absolute_error 0.285698 mean_absolute_error 0.370425 mean_absolute_error 0.319543 mean_absolute_error 0.289578 mean_absolute_error 0.293028 mean_absolute_error 0.294753 mean_absolute_error 0.296658 mean_absolute_error 0.263983 mean_absolute_error 0.321459 mean_absolute_error 0.326477 mean_absolute_error 0.360389 mean_absolute_error 0.308938 mean_absolute_error 0.30136 mean_absolute_error 0.323952 mean_absolute_error 0.361939 mean_absolute_error 0.388896 mean_absolute_error 0.355995 mean_absolute_error 0.337211 mean_absolute_error 0.315505 mean_absolute_error 0.256583 mean_absolute_error 0.295988 mean_absolute_error 0.304919 mean_absolute_error 0.292955 mean_absolute_error 0.398342 mean_absolute_error 0.34267 mean_absolute_error 0.300869 mean_absolute_error 0.391758 mean_absolute_error 0.283027 mean_absolute_error 0.316915 mean_absolute_error 0.292998 mean_absolute_error 0.251267 mean_absolute_error 0.313054 mean_absolute_error 0.309044 mean_absolute_error 0.37724 mean_absolute_error 0.32887 mean_absolute_error 0.34312 mean_absolute_error 0.308026 mean_absolute_error 0.252937 mean_absolute_error 0.347515 mean_absolute_error 0.254655 mean_absolute_error 0.316657 mean_absolute_error 0.294651 mean_absolute_error 0.335544 mean_absolute_error 0.354637 mean_absolute_error 0.2916 mean_absolute_error 0.362711 mean_absolute_error 0.299125 mean_absolute_error 0.327759 mean_absolute_error 0.321194 mean_absolute_error 0.289298 mean_absolute_error 0.285371 mean_absolute_error 0.333795 mean_absolute_error 0.291892 mean_absolute_error 0.311356 mean_absolute_error 0.332562 mean_absolute_error 0.244596 mean_absolute_error 0.360702 mean_absolute_error 0.31766 mean_absolute_error 0.36495 mean_absolute_error 0.382087 mean_absolute_error 0.361783 mean_absolute_error 0.343499 mean_absolute_error 0.316299 mean_absolute_error 0.283239 mean_absolute_error 0.305909 mean_absolute_error 0.255752 mean_absolute_error 0.335709 mean_absolute_error 0.258594 mean_absolute_error 0.370335 mean_absolute_error 0.266619 mean_absolute_error 0.3546 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 0.657055 [0.711864,0.555556] precision 0.626623 [0.714286,0.464286] precision 0.652399 [0.734694,0.5] precision 0.649624 [0.73913,0.483871] precision 0.631009 [0.701754,0.5] precision 0.694621 [0.754717,0.583333] precision 0.69886 [0.764706,0.576923] precision 0.725079 [0.784314,0.615385] precision 0.714286 [0.78,0.592593] precision 0.671219 [0.709677,0.6] precision 0.736404 [0.788462,0.64] precision 0.73453 [0.75,0.705882] precision 0.74026 [0.8,0.62963] precision 0.569669 [0.66129,0.4] precision 0.624652 [0.703704,0.478261] precision 0.63035 [0.711538,0.48] precision 0.584416 [0.68,0.407407] precision 0.725079 [0.784314,0.615385] precision 0.640897 [0.716981,0.5] precision 0.687541 [0.728814,0.611111] precision 0.69886 [0.764706,0.576923] precision 0.640183 [0.7,0.529412] precision 0.719008 [0.763636,0.636364] precision 0.721484 [0.773585,0.625] precision 0.746753 [0.781818,0.681818] precision 0.70989 [0.769231,0.6] precision 0.700479 [0.782609,0.548387] precision 0.672641 [0.745098,0.538462] precision 0.63035 [0.711538,0.48] precision 0.717783 [0.754386,0.65] precision 0.597382 [0.685185,0.434783] precision 0.688859 [0.736842,0.6] precision 0.718028 [0.745763,0.666667] precision 0.691263 [0.745455,0.590909] precision 0.703949 [0.77551,0.571429] precision 0.720101 [0.737705,0.6875] precision 0.746753 [0.781818,0.681818] precision 0.675051 [0.76087,0.516129] precision 0.637369 [0.693548,0.533333] precision 0.624652 [0.703704,0.478261] precision 0.719008 [0.763636,0.636364] precision 0.704082 [0.75,0.619048] precision 0.687541 [0.728814,0.611111] precision 0.635773 [0.709091,0.5] precision 0.622835 [0.72093,0.441176] precision 0.631009 [0.701754,0.5] precision 0.651923 [0.722222,0.521739] precision 0.663518 [0.727273,0.545455] precision 0.74026 [0.8,0.62963] precision 0.732375 [0.767857,0.666667] precision 0.719622 [0.791667,0.586207] precision 0.733735 [0.777778,0.652174] precision 0.597382 [0.685185,0.434783] precision 0.631009 [0.701754,0.5] precision 0.691263 [0.745455,0.590909] precision 0.597382 [0.685185,0.434783] precision 0.720101 [0.737705,0.6875] precision 0.732375 [0.767857,0.666667] precision 0.718028 [0.745763,0.666667] precision 0.766234 [0.82,0.666667] precision 0.691263 [0.745455,0.590909] precision 0.68754 [0.721311,0.625] precision 0.597382 [0.685185,0.434783] precision 0.658884 [0.744681,0.5] precision 0.672641 [0.745098,0.538462] precision 0.704082 [0.75,0.619048] precision 0.748346 [0.792453,0.666667] precision 0.651923 [0.722222,0.521739] precision 0.746708 [0.77193,0.7] precision 0.69886 [0.764706,0.576923] precision 0.702878 [0.741379,0.631579] precision 0.63035 [0.711538,0.48] precision 0.651923 [0.722222,0.521739] precision 0.73453 [0.75,0.705882] precision 0.635773 [0.709091,0.5] precision 0.707792 [0.795455,0.545455] precision 0.675051 [0.76087,0.516129] precision 0.675788 [0.732143,0.571429] precision 0.720101 [0.737705,0.6875] precision 0.725079 [0.784314,0.615385] precision 0.62373 [0.701754,0.473684] precision 0.748741 [0.826087,0.6] precision 0.696814 [0.741379,0.611111] precision 0.694675 [0.764706,0.56] precision 0.799099 [0.883721,0.636364] precision 0.678728 [0.75,0.541667] precision 0.685919 [0.745455,0.571429] precision 0.621972 [0.714286,0.444444] precision 0.594183 [0.684211,0.421053] precision 0.6113 [0.711111,0.419355] precision 0.668091 [0.745098,0.52] precision 0.694675 [0.764706,0.56] precision 0.711996 [0.745763,0.647059] precision 0.674166 [0.755102,0.518519] precision 0.74327 [0.762712,0.705882] precision 0.657667 [0.727273,0.52381] precision 0.705634 [0.769231,0.583333] precision 0.612124 [0.696429,0.45] precision 0.727163 [0.758621,0.666667] precision 0.674166 [0.755102,0.518519] predictive_accuracy 0.675325 predictive_accuracy 0.623377 predictive_accuracy 0.649351 predictive_accuracy 0.636364 predictive_accuracy 0.649351 predictive_accuracy 0.701299 predictive_accuracy 0.701299 predictive_accuracy 0.727273 predictive_accuracy 0.714286 predictive_accuracy 0.688312 predictive_accuracy 0.74026 predictive_accuracy 0.74026 predictive_accuracy 0.74026 predictive_accuracy 0.61039 predictive_accuracy 0.636364 predictive_accuracy 0.636364 predictive_accuracy 0.584416 predictive_accuracy 0.727273 predictive_accuracy 0.649351 predictive_accuracy 0.701299 predictive_accuracy 0.701299 predictive_accuracy 0.662338 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.753247 predictive_accuracy 0.714286 predictive_accuracy 0.688312 predictive_accuracy 0.675325 predictive_accuracy 0.636364 predictive_accuracy 0.727273 predictive_accuracy 0.61039 predictive_accuracy 0.701299 predictive_accuracy 0.727273 predictive_accuracy 0.701299 predictive_accuracy 0.701299 predictive_accuracy 0.727273 predictive_accuracy 0.753247 predictive_accuracy 0.662338 predictive_accuracy 0.662338 predictive_accuracy 0.636364 predictive_accuracy 0.727273 predictive_accuracy 0.714286 predictive_accuracy 0.701299 predictive_accuracy 0.649351 predictive_accuracy 0.597403 predictive_accuracy 0.649351 predictive_accuracy 0.662338 predictive_accuracy 0.675325 predictive_accuracy 0.74026 predictive_accuracy 0.74026 predictive_accuracy 0.714286 predictive_accuracy 0.74026 predictive_accuracy 0.61039 predictive_accuracy 0.649351 predictive_accuracy 0.701299 predictive_accuracy 0.61039 predictive_accuracy 0.727273 predictive_accuracy 0.74026 predictive_accuracy 0.727273 predictive_accuracy 0.766234 predictive_accuracy 0.701299 predictive_accuracy 0.701299 predictive_accuracy 0.61039 predictive_accuracy 0.649351 predictive_accuracy 0.675325 predictive_accuracy 0.714286 predictive_accuracy 0.753247 predictive_accuracy 0.662338 predictive_accuracy 0.753247 predictive_accuracy 0.701299 predictive_accuracy 0.714286 predictive_accuracy 0.636364 predictive_accuracy 0.662338 predictive_accuracy 0.74026 predictive_accuracy 0.649351 predictive_accuracy 0.688312 predictive_accuracy 0.662338 predictive_accuracy 0.688312 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.644737 predictive_accuracy 0.736842 predictive_accuracy 0.710526 predictive_accuracy 0.697368 predictive_accuracy 0.776316 predictive_accuracy 0.684211 predictive_accuracy 0.697368 predictive_accuracy 0.618421 predictive_accuracy 0.618421 predictive_accuracy 0.592105 predictive_accuracy 0.671053 predictive_accuracy 0.697368 predictive_accuracy 0.723684 predictive_accuracy 0.671053 predictive_accuracy 0.75 predictive_accuracy 0.671053 predictive_accuracy 0.710526 predictive_accuracy 0.631579 predictive_accuracy 0.736842 predictive_accuracy 0.671053 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 0.675325 [0.84,0.37037] recall 0.623377 [0.7,0.481481] recall 0.649351 [0.72,0.518519] recall 0.636364 [0.68,0.555556] recall 0.649351 [0.8,0.37037] recall 0.701299 [0.8,0.518519] recall 0.701299 [0.78,0.555556] recall 0.727273 [0.8,0.592593] recall 0.714286 [0.78,0.592593] recall 0.688312 [0.88,0.333333] recall 0.74026 [0.82,0.592593] recall 0.74026 [0.9,0.444444] recall 0.74026 [0.8,0.62963] recall 0.61039 [0.82,0.222222] recall 0.636364 [0.76,0.407407] recall 0.636364 [0.74,0.444444] recall 0.584416 [0.68,0.407407] recall 0.727273 [0.8,0.592593] recall 0.649351 [0.76,0.444444] recall 0.701299 [0.86,0.407407] recall 0.701299 [0.78,0.555556] recall 0.662338 [0.84,0.333333] recall 0.727273 [0.84,0.518519] recall 0.727273 [0.82,0.555556] recall 0.753247 [0.86,0.555556] recall 0.714286 [0.8,0.555556] recall 0.688312 [0.72,0.62963] recall 0.675325 [0.76,0.518519] recall 0.636364 [0.74,0.444444] recall 0.727273 [0.86,0.481481] recall 0.61039 [0.74,0.37037] recall 0.701299 [0.84,0.444444] recall 0.727273 [0.88,0.444444] recall 0.701299 [0.82,0.481481] recall 0.701299 [0.76,0.592593] recall 0.727273 [0.9,0.407407] recall 0.753247 [0.86,0.555556] recall 0.662338 [0.7,0.592593] recall 0.662338 [0.86,0.296296] recall 0.636364 [0.76,0.407407] recall 0.727273 [0.84,0.518519] recall 0.714286 [0.84,0.481481] recall 0.701299 [0.86,0.407407] recall 0.649351 [0.78,0.407407] recall 0.597403 [0.62,0.555556] recall 0.649351 [0.8,0.37037] recall 0.662338 [0.78,0.444444] recall 0.675325 [0.8,0.444444] recall 0.74026 [0.8,0.62963] recall 0.74026 [0.86,0.518519] recall 0.714286 [0.76,0.62963] recall 0.74026 [0.84,0.555556] recall 0.61039 [0.74,0.37037] recall 0.649351 [0.8,0.37037] recall 0.701299 [0.82,0.481481] recall 0.61039 [0.74,0.37037] recall 0.727273 [0.9,0.407407] recall 0.74026 [0.86,0.518519] recall 0.727273 [0.88,0.444444] recall 0.766234 [0.82,0.666667] recall 0.701299 [0.82,0.481481] recall 0.701299 [0.88,0.37037] recall 0.61039 [0.74,0.37037] recall 0.649351 [0.7,0.555556] recall 0.675325 [0.76,0.518519] recall 0.714286 [0.84,0.481481] recall 0.753247 [0.84,0.592593] recall 0.662338 [0.78,0.444444] recall 0.753247 [0.88,0.518519] recall 0.701299 [0.78,0.555556] recall 0.714286 [0.86,0.444444] recall 0.636364 [0.74,0.444444] recall 0.662338 [0.78,0.444444] recall 0.74026 [0.9,0.444444] recall 0.649351 [0.78,0.407407] recall 0.688312 [0.7,0.666667] recall 0.662338 [0.7,0.592593] recall 0.688312 [0.82,0.444444] recall 0.727273 [0.9,0.407407] recall 0.727273 [0.8,0.592593] recall 0.644737 [0.8,0.346154] recall 0.736842 [0.76,0.692308] recall 0.710526 [0.86,0.423077] recall 0.697368 [0.78,0.538462] recall 0.776316 [0.76,0.807692] recall 0.684211 [0.78,0.5] recall 0.697368 [0.82,0.461538] recall 0.618421 [0.7,0.461538] recall 0.618421 [0.78,0.307692] recall 0.592105 [0.64,0.5] recall 0.671053 [0.76,0.5] recall 0.697368 [0.78,0.538462] recall 0.723684 [0.88,0.423077] recall 0.671053 [0.74,0.538462] recall 0.75 [0.9,0.461538] recall 0.671053 [0.8,0.423077] recall 0.710526 [0.8,0.538462] recall 0.631579 [0.78,0.346154] recall 0.736842 [0.88,0.461538] recall 0.671053 [0.74,0.538462] relative_absolute_error 0.751786 relative_absolute_error 0.768043 relative_absolute_error 0.773821 relative_absolute_error 0.800476 relative_absolute_error 0.791491 relative_absolute_error 0.682974 relative_absolute_error 0.667646 relative_absolute_error 0.671529 relative_absolute_error 0.645252 relative_absolute_error 0.706764 relative_absolute_error 0.624482 relative_absolute_error 0.639774 relative_absolute_error 0.604852 relative_absolute_error 0.812493 relative_absolute_error 0.822992 relative_absolute_error 0.761597 relative_absolute_error 0.907652 relative_absolute_error 0.644405 relative_absolute_error 0.750125 relative_absolute_error 0.624629 relative_absolute_error 0.649066 relative_absolute_error 0.792799 relative_absolute_error 0.62856 relative_absolute_error 0.616091 relative_absolute_error 0.596153 relative_absolute_error 0.65134 relative_absolute_error 0.747158 relative_absolute_error 0.651509 relative_absolute_error 0.791679 relative_absolute_error 0.627906 relative_absolute_error 0.81412 relative_absolute_error 0.702292 relative_absolute_error 0.636433 relative_absolute_error 0.644016 relative_absolute_error 0.647807 relative_absolute_error 0.651994 relative_absolute_error 0.580182 relative_absolute_error 0.706503 relative_absolute_error 0.71753 relative_absolute_error 0.792061 relative_absolute_error 0.678983 relative_absolute_error 0.662329 relative_absolute_error 0.711981 relative_absolute_error 0.79547 relative_absolute_error 0.854715 relative_absolute_error 0.782405 relative_absolute_error 0.741123 relative_absolute_error 0.693417 relative_absolute_error 0.563918 relative_absolute_error 0.650522 relative_absolute_error 0.67015 relative_absolute_error 0.643857 relative_absolute_error 0.875474 relative_absolute_error 0.753119 relative_absolute_error 0.66125 relative_absolute_error 0.861006 relative_absolute_error 0.622036 relative_absolute_error 0.696515 relative_absolute_error 0.643951 relative_absolute_error 0.552235 relative_absolute_error 0.688029 relative_absolute_error 0.679215 relative_absolute_error 0.829097 relative_absolute_error 0.72279 relative_absolute_error 0.754108 relative_absolute_error 0.676979 relative_absolute_error 0.555904 relative_absolute_error 0.763768 relative_absolute_error 0.559681 relative_absolute_error 0.695948 relative_absolute_error 0.647584 relative_absolute_error 0.737458 relative_absolute_error 0.77942 relative_absolute_error 0.640878 relative_absolute_error 0.797166 relative_absolute_error 0.657416 relative_absolute_error 0.720349 relative_absolute_error 0.70592 relative_absolute_error 0.635819 relative_absolute_error 0.627188 relative_absolute_error 0.737789 relative_absolute_error 0.64517 relative_absolute_error 0.688192 relative_absolute_error 0.735062 relative_absolute_error 0.540632 relative_absolute_error 0.797261 relative_absolute_error 0.702125 relative_absolute_error 0.806649 relative_absolute_error 0.844527 relative_absolute_error 0.799651 relative_absolute_error 0.759238 relative_absolute_error 0.699117 relative_absolute_error 0.626045 relative_absolute_error 0.676152 relative_absolute_error 0.565289 relative_absolute_error 0.74202 relative_absolute_error 0.571572 relative_absolute_error 0.818553 relative_absolute_error 0.589309 relative_absolute_error 0.783774 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 0.530145 root_mean_squared_error 0.50301 root_mean_squared_error 0.529322 root_mean_squared_error 0.546246 root_mean_squared_error 0.536544 root_mean_squared_error 0.470242 root_mean_squared_error 0.465716 root_mean_squared_error 0.468496 root_mean_squared_error 0.489228 root_mean_squared_error 0.509816 root_mean_squared_error 0.446205 root_mean_squared_error 0.487311 root_mean_squared_error 0.459356 root_mean_squared_error 0.558907 root_mean_squared_error 0.557158 root_mean_squared_error 0.528199 root_mean_squared_error 0.580674 root_mean_squared_error 0.460535 root_mean_squared_error 0.5141 root_mean_squared_error 0.463153 root_mean_squared_error 0.468598 root_mean_squared_error 0.527562 root_mean_squared_error 0.464251 root_mean_squared_error 0.451831 root_mean_squared_error 0.441868 root_mean_squared_error 0.470029 root_mean_squared_error 0.499184 root_mean_squared_error 0.462084 root_mean_squared_error 0.527536 root_mean_squared_error 0.473065 root_mean_squared_error 0.555103 root_mean_squared_error 0.508519 root_mean_squared_error 0.464826 root_mean_squared_error 0.464895 root_mean_squared_error 0.477023 root_mean_squared_error 0.475566 root_mean_squared_error 0.460326 root_mean_squared_error 0.501699 root_mean_squared_error 0.513163 root_mean_squared_error 0.532805 root_mean_squared_error 0.465748 root_mean_squared_error 0.491047 root_mean_squared_error 0.512306 root_mean_squared_error 0.535233 root_mean_squared_error 0.533413 root_mean_squared_error 0.540105 root_mean_squared_error 0.502605 root_mean_squared_error 0.495126 root_mean_squared_error 0.442817 root_mean_squared_error 0.474771 root_mean_squared_error 0.461554 root_mean_squared_error 0.46601 root_mean_squared_error 0.563861 root_mean_squared_error 0.521244 root_mean_squared_error 0.478737 root_mean_squared_error 0.564235 root_mean_squared_error 0.47023 root_mean_squared_error 0.497873 root_mean_squared_error 0.472737 root_mean_squared_error 0.414419 root_mean_squared_error 0.485604 root_mean_squared_error 0.495948 root_mean_squared_error 0.557586 root_mean_squared_error 0.509473 root_mean_squared_error 0.520718 root_mean_squared_error 0.471187 root_mean_squared_error 0.440264 root_mean_squared_error 0.512961 root_mean_squared_error 0.439379 root_mean_squared_error 0.478274 root_mean_squared_error 0.473722 root_mean_squared_error 0.507449 root_mean_squared_error 0.511976 root_mean_squared_error 0.456951 root_mean_squared_error 0.535698 root_mean_squared_error 0.47233 root_mean_squared_error 0.501008 root_mean_squared_error 0.499494 root_mean_squared_error 0.480152 root_mean_squared_error 0.460083 root_mean_squared_error 0.511871 root_mean_squared_error 0.454668 root_mean_squared_error 0.487983 root_mean_squared_error 0.523932 root_mean_squared_error 0.420031 root_mean_squared_error 0.540587 root_mean_squared_error 0.493433 root_mean_squared_error 0.543891 root_mean_squared_error 0.561254 root_mean_squared_error 0.534434 root_mean_squared_error 0.520139 root_mean_squared_error 0.488142 root_mean_squared_error 0.465481 root_mean_squared_error 0.490315 root_mean_squared_error 0.436308 root_mean_squared_error 0.507581 root_mean_squared_error 0.448661 root_mean_squared_error 0.561231 root_mean_squared_error 0.437258 root_mean_squared_error 0.54075 root_relative_squared_error 1.111007 root_relative_squared_error 1.054142 root_relative_squared_error 1.109283 root_relative_squared_error 1.144751 root_relative_squared_error 1.124418 root_relative_squared_error 0.98547 root_relative_squared_error 0.975985 root_relative_squared_error 0.981811 root_relative_squared_error 1.025258 root_relative_squared_error 1.068405 root_relative_squared_error 0.935096 root_relative_squared_error 1.021242 root_relative_squared_error 0.962656 root_relative_squared_error 1.171284 root_relative_squared_error 1.167617 root_relative_squared_error 1.10693 root_relative_squared_error 1.216899 root_relative_squared_error 0.965128 root_relative_squared_error 1.077382 root_relative_squared_error 0.970613 root_relative_squared_error 0.982026 root_relative_squared_error 1.105594 root_relative_squared_error 0.972916 root_relative_squared_error 0.946887 root_relative_squared_error 0.926008 root_relative_squared_error 0.985024 root_relative_squared_error 1.046124 root_relative_squared_error 0.968373 root_relative_squared_error 1.105539 root_relative_squared_error 0.991386 root_relative_squared_error 1.163312 root_relative_squared_error 1.065685 root_relative_squared_error 0.974121 root_relative_squared_error 0.974266 root_relative_squared_error 0.99968 root_relative_squared_error 0.996628 root_relative_squared_error 0.96469 root_relative_squared_error 1.051394 root_relative_squared_error 1.075418 root_relative_squared_error 1.116582 root_relative_squared_error 0.976053 root_relative_squared_error 1.029071 root_relative_squared_error 1.073623 root_relative_squared_error 1.12167 root_relative_squared_error 1.117856 root_relative_squared_error 1.13188 root_relative_squared_error 1.053293 root_relative_squared_error 1.037619 root_relative_squared_error 0.927998 root_relative_squared_error 0.994963 root_relative_squared_error 0.967264 root_relative_squared_error 0.976602 root_relative_squared_error 1.181664 root_relative_squared_error 1.092354 root_relative_squared_error 1.003273 root_relative_squared_error 1.182448 root_relative_squared_error 0.985445 root_relative_squared_error 1.043377 root_relative_squared_error 0.9907 root_relative_squared_error 0.868485 root_relative_squared_error 1.017664 root_relative_squared_error 1.039342 root_relative_squared_error 1.168515 root_relative_squared_error 1.067686 root_relative_squared_error 1.091252 root_relative_squared_error 0.987451 root_relative_squared_error 0.922648 root_relative_squared_error 1.074996 root_relative_squared_error 0.920792 root_relative_squared_error 1.002304 root_relative_squared_error 0.992764 root_relative_squared_error 1.063444 root_relative_squared_error 1.072932 root_relative_squared_error 0.957617 root_relative_squared_error 1.122645 root_relative_squared_error 0.989847 root_relative_squared_error 1.049947 root_relative_squared_error 1.046774 root_relative_squared_error 1.006239 root_relative_squared_error 0.964181 root_relative_squared_error 1.078827 root_relative_squared_error 0.958265 root_relative_squared_error 1.02848 root_relative_squared_error 1.104248 root_relative_squared_error 0.885263 root_relative_squared_error 1.139348 root_relative_squared_error 1.039967 root_relative_squared_error 1.146313 root_relative_squared_error 1.182907 root_relative_squared_error 1.126381 root_relative_squared_error 1.096253 root_relative_squared_error 1.028815 root_relative_squared_error 0.981054 root_relative_squared_error 1.033395 root_relative_squared_error 0.91957 root_relative_squared_error 1.069786 root_relative_squared_error 0.945604 root_relative_squared_error 1.182858 root_relative_squared_error 0.921571 root_relative_squared_error 1.139694 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0