476887 233 Nenad TomaĊĦev 1917 Supervised Classification predictive_accuracy 690 HubMiner.KNN(1) 1997 learning.supervised.methods.knn.KNN -- k cmet k 11 690 cmet floats:distances.primary.MinkowskiMetric:{"p":2.0} "combineBy":SUM 690 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 1681696 description https://api.openml.org/data/download/1681696/hubminer_generated_run8756826660894997277.xml -1 1681697 predictions https://api.openml.org/data/download/1681697/classificationPredictions8909729093384290641.arff area_under_roc_curve 0.783988 [0.783988,0.783988] average_cost 0 f_measure 0.733804 [0.809219,0.593106] kappa 0.40475 kb_relative_information_score 2081.245812 mean_absolute_error 0.332623 mean_prior_absolute_error 0.454491 number_of_instances 7680 [5000,2680] precision 0.733019 [0.775334,0.654071] predictive_accuracy 0.740234 prior_entropy 0.933487 recall 0.740234 [0.8462,0.542537] relative_absolute_error 0.731858 root_mean_prior_squared_error 0.476641 root_mean_squared_error 0.41935 root_relative_squared_error 0.879803 total_cost 0 area_under_roc_curve 0.842963 [0.842963,0.842963] area_under_roc_curve 0.810741 [0.810741,0.810741] area_under_roc_curve 0.80037 [0.80037,0.80037] area_under_roc_curve 0.794074 [0.794074,0.794074] area_under_roc_curve 0.691111 [0.691111,0.691111] area_under_roc_curve 0.798889 [0.798889,0.798889] area_under_roc_curve 0.802963 [0.802963,0.802963] area_under_roc_curve 0.796667 [0.796667,0.796667] area_under_roc_curve 0.74037 [0.74037,0.74037] area_under_roc_curve 0.825556 [0.825556,0.825556] area_under_roc_curve 0.764444 [0.764444,0.764444] area_under_roc_curve 0.83037 [0.83037,0.83037] area_under_roc_curve 0.791481 [0.791481,0.791481] area_under_roc_curve 0.74963 [0.74963,0.74963] area_under_roc_curve 0.728519 [0.728519,0.728519] area_under_roc_curve 0.792593 [0.792593,0.792593] area_under_roc_curve 0.679259 [0.679259,0.679259] area_under_roc_curve 0.811852 [0.811852,0.811852] area_under_roc_curve 0.758519 [0.758519,0.758519] area_under_roc_curve 0.814074 [0.814074,0.814074] area_under_roc_curve 0.836667 [0.836667,0.836667] area_under_roc_curve 0.698148 [0.698148,0.698148] area_under_roc_curve 0.851481 [0.851481,0.851481] area_under_roc_curve 0.700741 [0.700741,0.700741] area_under_roc_curve 0.844074 [0.844074,0.844074] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.780741 [0.780741,0.780741] area_under_roc_curve 0.811852 [0.811852,0.811852] area_under_roc_curve 0.771852 [0.771852,0.771852] area_under_roc_curve 0.791481 [0.791481,0.791481] area_under_roc_curve 0.745926 [0.745926,0.745926] area_under_roc_curve 0.767037 [0.767037,0.767037] area_under_roc_curve 0.787778 [0.787778,0.787778] area_under_roc_curve 0.79963 [0.79963,0.79963] area_under_roc_curve 0.841481 [0.841481,0.841481] area_under_roc_curve 0.774815 [0.774815,0.774815] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.821481 [0.821481,0.821481] area_under_roc_curve 0.653704 [0.653704,0.653704] area_under_roc_curve 0.713704 [0.713704,0.713704] area_under_roc_curve 0.766296 [0.766296,0.766296] area_under_roc_curve 0.783333 [0.783333,0.783333] area_under_roc_curve 0.712963 [0.712963,0.712963] area_under_roc_curve 0.71037 [0.71037,0.71037] area_under_roc_curve 0.693333 [0.693333,0.693333] area_under_roc_curve 0.794444 [0.794444,0.794444] area_under_roc_curve 0.783704 [0.783704,0.783704] area_under_roc_curve 0.854815 [0.854815,0.854815] area_under_roc_curve 0.86963 [0.86963,0.86963] area_under_roc_curve 0.711481 [0.711481,0.711481] area_under_roc_curve 0.813333 [0.813333,0.813333] area_under_roc_curve 0.811852 [0.811852,0.811852] area_under_roc_curve 0.655926 [0.655926,0.655926] area_under_roc_curve 0.818889 [0.818889,0.818889] area_under_roc_curve 0.792222 [0.792222,0.792222] area_under_roc_curve 0.662963 [0.662963,0.662963] area_under_roc_curve 0.822222 [0.822222,0.822222] area_under_roc_curve 0.688519 [0.688519,0.688519] area_under_roc_curve 0.778148 [0.778148,0.778148] area_under_roc_curve 0.858148 [0.858148,0.858148] area_under_roc_curve 0.784444 [0.784444,0.784444] area_under_roc_curve 0.834444 [0.834444,0.834444] area_under_roc_curve 0.834074 [0.834074,0.834074] area_under_roc_curve 0.82963 [0.82963,0.82963] area_under_roc_curve 0.788519 [0.788519,0.788519] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.762963 [0.762963,0.762963] area_under_roc_curve 0.858148 [0.858148,0.858148] area_under_roc_curve 0.784815 [0.784815,0.784815] area_under_roc_curve 0.808889 [0.808889,0.808889] area_under_roc_curve 0.723333 [0.723333,0.723333] area_under_roc_curve 0.811481 [0.811481,0.811481] area_under_roc_curve 0.852593 [0.852593,0.852593] area_under_roc_curve 0.727037 [0.727037,0.727037] area_under_roc_curve 0.903704 [0.903704,0.903704] area_under_roc_curve 0.777037 [0.777037,0.777037] area_under_roc_curve 0.762963 [0.762963,0.762963] area_under_roc_curve 0.838889 [0.838889,0.838889] area_under_roc_curve 0.839259 [0.839259,0.839259] area_under_roc_curve 0.769231 [0.769231,0.769231] area_under_roc_curve 0.821923 [0.821923,0.821923] area_under_roc_curve 0.760385 [0.760385,0.760385] area_under_roc_curve 0.837692 [0.837692,0.837692] area_under_roc_curve 0.868846 [0.868846,0.868846] area_under_roc_curve 0.709615 [0.709615,0.709615] area_under_roc_curve 0.810385 [0.810385,0.810385] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.747692 [0.747692,0.747692] area_under_roc_curve 0.812692 [0.812692,0.812692] area_under_roc_curve 0.776154 [0.776154,0.776154] area_under_roc_curve 0.785 [0.785,0.785] area_under_roc_curve 0.806538 [0.806538,0.806538] area_under_roc_curve 0.849615 [0.849615,0.849615] area_under_roc_curve 0.813077 [0.813077,0.813077] area_under_roc_curve 0.843077 [0.843077,0.843077] area_under_roc_curve 0.833462 [0.833462,0.833462] area_under_roc_curve 0.744231 [0.744231,0.744231] area_under_roc_curve 0.791538 [0.791538,0.791538] area_under_roc_curve 0.792692 [0.792692,0.792692] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.75214 [0.811881,0.641509] f_measure 0.708352 [0.788462,0.56] f_measure 0.76403 [0.823529,0.653846] f_measure 0.74026 [0.8,0.62963] f_measure 0.677653 [0.773585,0.5] f_measure 0.731377 [0.811321,0.583333] f_measure 0.754244 [0.808081,0.654545] f_measure 0.728375 [0.787879,0.618182] f_measure 0.72605 [0.792079,0.603774] f_measure 0.766258 [0.844037,0.622222] f_measure 0.688826 [0.785047,0.510638] f_measure 0.775943 [0.834951,0.666667] f_measure 0.76403 [0.823529,0.653846] f_measure 0.677893 [0.792793,0.465116] f_measure 0.704515 [0.792453,0.541667] f_measure 0.731377 [0.811321,0.583333] f_measure 0.628811 [0.730769,0.44] f_measure 0.749583 [0.815534,0.627451] f_measure 0.717069 [0.821429,0.52381] f_measure 0.742943 [0.82243,0.595745] f_measure 0.749583 [0.815534,0.627451] f_measure 0.677893 [0.792793,0.465116] f_measure 0.818182 [0.86,0.740741] f_measure 0.700023 [0.796296,0.521739] f_measure 0.778231 [0.831683,0.679245] f_measure 0.76403 [0.823529,0.653846] f_measure 0.730232 [0.783505,0.631579] f_measure 0.749583 [0.815534,0.627451] f_measure 0.734865 [0.807692,0.6] f_measure 0.714286 [0.78,0.592593] f_measure 0.705903 [0.810811,0.511628] f_measure 0.750295 [0.836364,0.590909] f_measure 0.66649 [0.761905,0.489796] f_measure 0.799894 [0.857143,0.693878] f_measure 0.76403 [0.823529,0.653846] f_measure 0.758239 [0.830189,0.625] f_measure 0.688826 [0.785047,0.510638] f_measure 0.714286 [0.78,0.592593] f_measure 0.621688 [0.712871,0.45283] f_measure 0.677653 [0.773585,0.5] f_measure 0.727294 [0.814815,0.565217] f_measure 0.746532 [0.819048,0.612245] f_measure 0.704515 [0.792453,0.541667] f_measure 0.654981 [0.715789,0.542373] f_measure 0.685373 [0.764706,0.538462] f_measure 0.734865 [0.807692,0.6] f_measure 0.708352 [0.788462,0.56] f_measure 0.802302 [0.854369,0.705882] f_measure 0.785102 [0.849057,0.666667] f_measure 0.693171 [0.780952,0.530612] f_measure 0.780113 [0.828283,0.690909] f_measure 0.727294 [0.814815,0.565217] f_measure 0.661767 [0.766355,0.468085] f_measure 0.758239 [0.830189,0.625] f_measure 0.758239 [0.830189,0.625] f_measure 0.647779 [0.732673,0.490566] f_measure 0.756919 [0.849558,0.585366] f_measure 0.693171 [0.780952,0.530612] f_measure 0.793757 [0.862385,0.666667] f_measure 0.826575 [0.87619,0.734694] f_measure 0.711259 [0.807339,0.533333] f_measure 0.699723 [0.814159,0.487805] f_measure 0.737811 [0.803922,0.615385] f_measure 0.711592 [0.784314,0.576923] f_measure 0.754244 [0.808081,0.654545] f_measure 0.66649 [0.761905,0.489796] f_measure 0.814406 [0.865385,0.72] f_measure 0.681838 [0.769231,0.52] f_measure 0.802302 [0.854369,0.705882] f_measure 0.723223 [0.796117,0.588235] f_measure 0.781835 [0.851852,0.652174] f_measure 0.699959 [0.772277,0.566038] f_measure 0.754564 [0.833333,0.608696] f_measure 0.739679 [0.842105,0.55] f_measure 0.719852 [0.8,0.571429] f_measure 0.853256 [0.895238,0.77551] f_measure 0.723223 [0.796117,0.588235] f_measure 0.68376 [0.788991,0.488889] f_measure 0.754564 [0.833333,0.608696] f_measure 0.775943 [0.834951,0.666667] f_measure 0.71925 [0.796117,0.571429] f_measure 0.765127 [0.816327,0.666667] f_measure 0.694932 [0.796296,0.5] f_measure 0.754415 [0.830189,0.608696] f_measure 0.792607 [0.833333,0.714286] f_measure 0.680991 [0.764706,0.52] f_measure 0.745988 [0.815534,0.612245] f_measure 0.711466 [0.821429,0.5] f_measure 0.669456 [0.752475,0.509804] f_measure 0.763158 [0.82,0.653846] f_measure 0.73903 [0.795918,0.62963] f_measure 0.724895 [0.787879,0.603774] f_measure 0.728851 [0.828829,0.536585] f_measure 0.801674 [0.851485,0.705882] f_measure 0.74032 [0.839286,0.55] f_measure 0.734158 [0.825688,0.55814] f_measure 0.796833 [0.857143,0.680851] f_measure 0.68373 [0.785047,0.488889] f_measure 0.757844 [0.826923,0.625] f_measure 0.738733 [0.82243,0.577778] kappa 0.453493 kappa 0.35046 kappa 0.477769 kappa 0.42963 kappa 0.278689 kappa 0.398907 kappa 0.462725 kappa 0.40617 kappa 0.395966 kappa 0.47493 kappa 0.302481 kappa 0.502471 kappa 0.477769 kappa 0.276257 kappa 0.338798 kappa 0.398907 kappa 0.173313 kappa 0.443938 kappa 0.364686 kappa 0.423789 kappa 0.443938 kappa 0.276257 kappa 0.600741 kappa 0.326709 kappa 0.51102 kappa 0.477769 kappa 0.416035 kappa 0.443938 kappa 0.409509 kappa 0.372593 kappa 0.339191 kappa 0.438866 kappa 0.255319 kappa 0.553191 kappa 0.477769 kappa 0.459016 kappa 0.302481 kappa 0.372593 kappa 0.165857 kappa 0.278689 kappa 0.387917 kappa 0.434043 kappa 0.338798 kappa 0.261456 kappa 0.303693 kappa 0.409509 kappa 0.35046 kappa 0.561003 kappa 0.519126 kappa 0.314894 kappa 0.51928 kappa 0.387917 kappa 0.241827 kappa 0.459016 kappa 0.459016 kappa 0.223384 kappa 0.45481 kappa 0.314894 kappa 0.536703 kappa 0.612766 kappa 0.351384 kappa 0.326531 kappa 0.419744 kappa 0.361718 kappa 0.462725 kappa 0.255319 kappa 0.586656 kappa 0.291411 kappa 0.561003 kappa 0.385405 kappa 0.510334 kappa 0.338439 kappa 0.449126 kappa 0.417157 kappa 0.374468 kappa 0.67234 kappa 0.385405 kappa 0.289611 kappa 0.449126 kappa 0.502471 kappa 0.368671 kappa 0.483384 kappa 0.305648 kappa 0.442997 kappa 0.548961 kappa 0.285266 kappa 0.428797 kappa 0.342561 kappa 0.262422 kappa 0.473846 kappa 0.425982 kappa 0.391768 kappa 0.381849 kappa 0.557453 kappa 0.408304 kappa 0.394295 kappa 0.540323 kappa 0.28125 kappa 0.453674 kappa 0.40625 kb_relative_information_score 26.590062 kb_relative_information_score 23.151939 kb_relative_information_score 21.807368 kb_relative_information_score 19.25695 kb_relative_information_score 12.767062 kb_relative_information_score 19.867454 kb_relative_information_score 19.920155 kb_relative_information_score 19.835515 kb_relative_information_score 15.293266 kb_relative_information_score 24.930204 kb_relative_information_score 19.567148 kb_relative_information_score 25.636135 kb_relative_information_score 20.872915 kb_relative_information_score 16.820882 kb_relative_information_score 18.882987 kb_relative_information_score 22.785198 kb_relative_information_score 10.659131 kb_relative_information_score 22.170943 kb_relative_information_score 22.206461 kb_relative_information_score 25.797335 kb_relative_information_score 23.309009 kb_relative_information_score 13.616823 kb_relative_information_score 25.491149 kb_relative_information_score 16.686846 kb_relative_information_score 25.900215 kb_relative_information_score 24.340651 kb_relative_information_score 15.748634 kb_relative_information_score 21.849478 kb_relative_information_score 18.793529 kb_relative_information_score 20.229928 kb_relative_information_score 18.077864 kb_relative_information_score 20.814837 kb_relative_information_score 20.192899 kb_relative_information_score 22.427954 kb_relative_information_score 26.651274 kb_relative_information_score 22.913661 kb_relative_information_score 19.866435 kb_relative_information_score 23.673786 kb_relative_information_score 9.034254 kb_relative_information_score 12.597911 kb_relative_information_score 17.980648 kb_relative_information_score 21.41269 kb_relative_information_score 17.397363 kb_relative_information_score 11.0954 kb_relative_information_score 11.108039 kb_relative_information_score 20.226906 kb_relative_information_score 20.535925 kb_relative_information_score 25.586611 kb_relative_information_score 31.295275 kb_relative_information_score 14.561836 kb_relative_information_score 20.031525 kb_relative_information_score 24.840595 kb_relative_information_score 11.602303 kb_relative_information_score 23.299833 kb_relative_information_score 21.447813 kb_relative_information_score 10.083836 kb_relative_information_score 25.563893 kb_relative_information_score 14.158655 kb_relative_information_score 24.23682 kb_relative_information_score 25.858435 kb_relative_information_score 22.349581 kb_relative_information_score 25.938616 kb_relative_information_score 24.855702 kb_relative_information_score 22.297035 kb_relative_information_score 20.858166 kb_relative_information_score 13.959175 kb_relative_information_score 30.257117 kb_relative_information_score 19.406232 kb_relative_information_score 26.687634 kb_relative_information_score 19.240314 kb_relative_information_score 22.505046 kb_relative_information_score 14.330137 kb_relative_information_score 22.685129 kb_relative_information_score 27.905461 kb_relative_information_score 16.989953 kb_relative_information_score 35.552069 kb_relative_information_score 21.835564 kb_relative_information_score 19.616755 kb_relative_information_score 26.278778 kb_relative_information_score 25.592328 kb_relative_information_score 20.787826 kb_relative_information_score 19.770484 kb_relative_information_score 18.25445 kb_relative_information_score 24.221649 kb_relative_information_score 24.343893 kb_relative_information_score 13.054371 kb_relative_information_score 22.92695 kb_relative_information_score 19.70674 kb_relative_information_score 13.849084 kb_relative_information_score 22.225911 kb_relative_information_score 20.312598 kb_relative_information_score 19.194186 kb_relative_information_score 22.121494 kb_relative_information_score 25.897317 kb_relative_information_score 24.844256 kb_relative_information_score 24.458499 kb_relative_information_score 23.316979 kb_relative_information_score 17.847441 kb_relative_information_score 20.112997 kb_relative_information_score 21.497248 mean_absolute_error 0.302243 mean_absolute_error 0.317591 mean_absolute_error 0.328217 mean_absolute_error 0.338843 mean_absolute_error 0.371901 mean_absolute_error 0.342385 mean_absolute_error 0.335301 mean_absolute_error 0.337662 mean_absolute_error 0.360094 mean_absolute_error 0.309327 mean_absolute_error 0.335301 mean_absolute_error 0.309327 mean_absolute_error 0.33294 mean_absolute_error 0.344746 mean_absolute_error 0.343566 mean_absolute_error 0.319953 mean_absolute_error 0.381346 mean_absolute_error 0.325856 mean_absolute_error 0.323495 mean_absolute_error 0.306966 mean_absolute_error 0.322314 mean_absolute_error 0.36954 mean_absolute_error 0.310508 mean_absolute_error 0.353011 mean_absolute_error 0.310508 mean_absolute_error 0.316411 mean_absolute_error 0.368359 mean_absolute_error 0.331759 mean_absolute_error 0.343566 mean_absolute_error 0.335301 mean_absolute_error 0.347107 mean_absolute_error 0.336482 mean_absolute_error 0.335301 mean_absolute_error 0.329398 mean_absolute_error 0.304604 mean_absolute_error 0.322314 mean_absolute_error 0.338843 mean_absolute_error 0.31405 mean_absolute_error 0.394333 mean_absolute_error 0.376623 mean_absolute_error 0.353011 mean_absolute_error 0.330579 mean_absolute_error 0.349469 mean_absolute_error 0.381346 mean_absolute_error 0.386068 mean_absolute_error 0.336482 mean_absolute_error 0.335301 mean_absolute_error 0.316411 mean_absolute_error 0.273908 mean_absolute_error 0.367178 mean_absolute_error 0.338843 mean_absolute_error 0.31523 mean_absolute_error 0.382527 mean_absolute_error 0.323495 mean_absolute_error 0.330579 mean_absolute_error 0.387249 mean_absolute_error 0.305785 mean_absolute_error 0.36954 mean_absolute_error 0.31523 mean_absolute_error 0.309327 mean_absolute_error 0.321133 mean_absolute_error 0.304604 mean_absolute_error 0.31523 mean_absolute_error 0.327037 mean_absolute_error 0.33294 mean_absolute_error 0.367178 mean_absolute_error 0.289256 mean_absolute_error 0.335301 mean_absolute_error 0.306966 mean_absolute_error 0.344746 mean_absolute_error 0.33294 mean_absolute_error 0.368359 mean_absolute_error 0.328217 mean_absolute_error 0.29634 mean_absolute_error 0.356553 mean_absolute_error 0.257379 mean_absolute_error 0.328217 mean_absolute_error 0.335301 mean_absolute_error 0.303424 mean_absolute_error 0.305785 mean_absolute_error 0.324163 mean_absolute_error 0.339713 mean_absolute_error 0.342105 mean_absolute_error 0.312201 mean_absolute_error 0.312201 mean_absolute_error 0.367225 mean_absolute_error 0.319378 mean_absolute_error 0.337321 mean_absolute_error 0.363636 mean_absolute_error 0.319378 mean_absolute_error 0.33134 mean_absolute_error 0.332536 mean_absolute_error 0.320574 mean_absolute_error 0.305024 mean_absolute_error 0.30622 mean_absolute_error 0.311005 mean_absolute_error 0.318182 mean_absolute_error 0.343301 mean_absolute_error 0.333732 mean_absolute_error 0.330144 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 0.751298 [0.803922,0.653846] precision 0.706464 [0.759259,0.608696] precision 0.762917 [0.807692,0.68] precision 0.74026 [0.8,0.62963] precision 0.675788 [0.732143,0.571429] precision 0.732375 [0.767857,0.666667] precision 0.7555 [0.816327,0.642857] precision 0.729724 [0.795918,0.607143] precision 0.725079 [0.784314,0.615385] precision 0.779001 [0.779661,0.777778] precision 0.688859 [0.736842,0.6] precision 0.775208 [0.811321,0.708333] precision 0.762917 [0.807692,0.68] precision 0.68754 [0.721311,0.625] precision 0.704082 [0.75,0.619048] precision 0.732375 [0.767857,0.666667] precision 0.624652 [0.703704,0.478261] precision 0.748346 [0.792453,0.666667] precision 0.738919 [0.741935,0.733333] precision 0.746708 [0.77193,0.7] precision 0.748346 [0.792453,0.666667] precision 0.68754 [0.721311,0.625] precision 0.818182 [0.86,0.740741] precision 0.702878 [0.741379,0.631579] precision 0.777517 [0.823529,0.692308] precision 0.762917 [0.807692,0.68] precision 0.735397 [0.808511,0.6] precision 0.748346 [0.792453,0.666667] precision 0.733735 [0.777778,0.652174] precision 0.714286 [0.78,0.592593] precision 0.720101 [0.737705,0.6875] precision 0.765979 [0.766667,0.764706] precision 0.663518 [0.727273,0.545455] precision 0.802243 [0.818182,0.772727] precision 0.762917 [0.807692,0.68] precision 0.760668 [0.785714,0.714286] precision 0.688859 [0.736842,0.6] precision 0.714286 [0.78,0.592593] precision 0.620203 [0.705882,0.461538] precision 0.675788 [0.732143,0.571429] precision 0.732529 [0.758621,0.684211] precision 0.746753 [0.781818,0.681818] precision 0.704082 [0.75,0.619048] precision 0.665945 [0.755556,0.5] precision 0.683377 [0.75,0.56] precision 0.733735 [0.777778,0.652174] precision 0.706464 [0.759259,0.608696] precision 0.802071 [0.830189,0.75] precision 0.788961 [0.803571,0.761905] precision 0.691263 [0.745455,0.590909] precision 0.781275 [0.836735,0.678571] precision 0.732529 [0.758621,0.684211] precision 0.659934 [0.719298,0.55] precision 0.760668 [0.785714,0.714286] precision 0.760668 [0.785714,0.714286] precision 0.646422 [0.72549,0.5] precision 0.7953 [0.761905,0.857143] precision 0.691263 [0.745455,0.590909] precision 0.809487 [0.79661,0.833333] precision 0.829988 [0.836364,0.818182] precision 0.718028 [0.745763,0.666667] precision 0.724593 [0.730159,0.714286] precision 0.736404 [0.788462,0.64] precision 0.70989 [0.769231,0.6] precision 0.7555 [0.816327,0.642857] precision 0.663518 [0.727273,0.545455] precision 0.815547 [0.833333,0.782609] precision 0.679194 [0.740741,0.565217] precision 0.802071 [0.830189,0.75] precision 0.721484 [0.773585,0.625] precision 0.791831 [0.793103,0.789474] precision 0.69886 [0.764706,0.576923] precision 0.76218 [0.775862,0.736842] precision 0.783716 [0.75,0.846154] precision 0.719008 [0.763636,0.636364] precision 0.857733 [0.854545,0.863636] precision 0.721484 [0.773585,0.625] precision 0.687541 [0.728814,0.611111] precision 0.76218 [0.775862,0.736842] precision 0.775208 [0.811321,0.708333] precision 0.717175 [0.773585,0.608696] precision 0.76817 [0.833333,0.642857] precision 0.696814 [0.741379,0.611111] precision 0.756391 [0.785714,0.7] precision 0.800153 [0.869565,0.666667] precision 0.678728 [0.75,0.541667] precision 0.744463 [0.792453,0.652174] precision 0.732476 [0.741935,0.714286] precision 0.668091 [0.745098,0.52] precision 0.763158 [0.82,0.653846] precision 0.742246 [0.8125,0.607143] precision 0.72636 [0.795918,0.592593] precision 0.746995 [0.754098,0.733333] precision 0.801011 [0.843137,0.72] precision 0.767524 [0.758065,0.785714] precision 0.74327 [0.762712,0.705882] precision 0.798929 [0.818182,0.761905] precision 0.682825 [0.736842,0.578947] precision 0.757133 [0.796296,0.681818] precision 0.741921 [0.77193,0.684211] predictive_accuracy 0.753247 predictive_accuracy 0.714286 predictive_accuracy 0.766234 predictive_accuracy 0.74026 predictive_accuracy 0.688312 predictive_accuracy 0.74026 predictive_accuracy 0.753247 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.779221 predictive_accuracy 0.701299 predictive_accuracy 0.779221 predictive_accuracy 0.766234 predictive_accuracy 0.701299 predictive_accuracy 0.714286 predictive_accuracy 0.74026 predictive_accuracy 0.636364 predictive_accuracy 0.753247 predictive_accuracy 0.74026 predictive_accuracy 0.753247 predictive_accuracy 0.753247 predictive_accuracy 0.701299 predictive_accuracy 0.818182 predictive_accuracy 0.714286 predictive_accuracy 0.779221 predictive_accuracy 0.766234 predictive_accuracy 0.727273 predictive_accuracy 0.753247 predictive_accuracy 0.74026 predictive_accuracy 0.714286 predictive_accuracy 0.727273 predictive_accuracy 0.766234 predictive_accuracy 0.675325 predictive_accuracy 0.805195 predictive_accuracy 0.766234 predictive_accuracy 0.766234 predictive_accuracy 0.701299 predictive_accuracy 0.714286 predictive_accuracy 0.623377 predictive_accuracy 0.688312 predictive_accuracy 0.74026 predictive_accuracy 0.753247 predictive_accuracy 0.714286 predictive_accuracy 0.649351 predictive_accuracy 0.688312 predictive_accuracy 0.74026 predictive_accuracy 0.714286 predictive_accuracy 0.805195 predictive_accuracy 0.792208 predictive_accuracy 0.701299 predictive_accuracy 0.779221 predictive_accuracy 0.74026 predictive_accuracy 0.675325 predictive_accuracy 0.766234 predictive_accuracy 0.766234 predictive_accuracy 0.649351 predictive_accuracy 0.779221 predictive_accuracy 0.701299 predictive_accuracy 0.805195 predictive_accuracy 0.831169 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.74026 predictive_accuracy 0.714286 predictive_accuracy 0.753247 predictive_accuracy 0.675325 predictive_accuracy 0.818182 predictive_accuracy 0.688312 predictive_accuracy 0.805195 predictive_accuracy 0.727273 predictive_accuracy 0.792208 predictive_accuracy 0.701299 predictive_accuracy 0.766234 predictive_accuracy 0.766234 predictive_accuracy 0.727273 predictive_accuracy 0.857143 predictive_accuracy 0.727273 predictive_accuracy 0.701299 predictive_accuracy 0.766234 predictive_accuracy 0.779221 predictive_accuracy 0.723684 predictive_accuracy 0.763158 predictive_accuracy 0.710526 predictive_accuracy 0.763158 predictive_accuracy 0.789474 predictive_accuracy 0.684211 predictive_accuracy 0.75 predictive_accuracy 0.736842 predictive_accuracy 0.671053 predictive_accuracy 0.763158 predictive_accuracy 0.736842 predictive_accuracy 0.723684 predictive_accuracy 0.75 predictive_accuracy 0.802632 predictive_accuracy 0.763158 predictive_accuracy 0.75 predictive_accuracy 0.802632 predictive_accuracy 0.697368 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 0.753247 [0.82,0.62963] recall 0.714286 [0.82,0.518519] recall 0.766234 [0.84,0.62963] recall 0.74026 [0.8,0.62963] recall 0.688312 [0.82,0.444444] recall 0.74026 [0.86,0.518519] recall 0.753247 [0.8,0.666667] recall 0.727273 [0.78,0.62963] recall 0.727273 [0.8,0.592593] recall 0.779221 [0.92,0.518519] recall 0.701299 [0.84,0.444444] recall 0.779221 [0.86,0.62963] recall 0.766234 [0.84,0.62963] recall 0.701299 [0.88,0.37037] recall 0.714286 [0.84,0.481481] recall 0.74026 [0.86,0.518519] recall 0.636364 [0.76,0.407407] recall 0.753247 [0.84,0.592593] recall 0.74026 [0.92,0.407407] recall 0.753247 [0.88,0.518519] recall 0.753247 [0.84,0.592593] recall 0.701299 [0.88,0.37037] recall 0.818182 [0.86,0.740741] recall 0.714286 [0.86,0.444444] recall 0.779221 [0.84,0.666667] recall 0.766234 [0.84,0.62963] recall 0.727273 [0.76,0.666667] recall 0.753247 [0.84,0.592593] recall 0.74026 [0.84,0.555556] recall 0.714286 [0.78,0.592593] recall 0.727273 [0.9,0.407407] recall 0.766234 [0.92,0.481481] recall 0.675325 [0.8,0.444444] recall 0.805195 [0.9,0.62963] recall 0.766234 [0.84,0.62963] recall 0.766234 [0.88,0.555556] recall 0.701299 [0.84,0.444444] recall 0.714286 [0.78,0.592593] recall 0.623377 [0.72,0.444444] recall 0.688312 [0.82,0.444444] recall 0.74026 [0.88,0.481481] recall 0.753247 [0.86,0.555556] recall 0.714286 [0.84,0.481481] recall 0.649351 [0.68,0.592593] recall 0.688312 [0.78,0.518519] recall 0.74026 [0.84,0.555556] recall 0.714286 [0.82,0.518519] recall 0.805195 [0.88,0.666667] recall 0.792208 [0.9,0.592593] recall 0.701299 [0.82,0.481481] recall 0.779221 [0.82,0.703704] recall 0.74026 [0.88,0.481481] recall 0.675325 [0.82,0.407407] recall 0.766234 [0.88,0.555556] recall 0.766234 [0.88,0.555556] recall 0.649351 [0.74,0.481481] recall 0.779221 [0.96,0.444444] recall 0.701299 [0.82,0.481481] recall 0.805195 [0.94,0.555556] recall 0.831169 [0.92,0.666667] recall 0.727273 [0.88,0.444444] recall 0.727273 [0.92,0.37037] recall 0.74026 [0.82,0.592593] recall 0.714286 [0.8,0.555556] recall 0.753247 [0.8,0.666667] recall 0.675325 [0.8,0.444444] recall 0.818182 [0.9,0.666667] recall 0.688312 [0.8,0.481481] recall 0.805195 [0.88,0.666667] recall 0.727273 [0.82,0.555556] recall 0.792208 [0.92,0.555556] recall 0.701299 [0.78,0.555556] recall 0.766234 [0.9,0.518519] recall 0.766234 [0.96,0.407407] recall 0.727273 [0.84,0.518519] recall 0.857143 [0.94,0.703704] recall 0.727273 [0.82,0.555556] recall 0.701299 [0.86,0.407407] recall 0.766234 [0.9,0.518519] recall 0.779221 [0.86,0.62963] recall 0.723684 [0.82,0.538462] recall 0.763158 [0.8,0.692308] recall 0.710526 [0.86,0.423077] recall 0.763158 [0.88,0.538462] recall 0.789474 [0.8,0.769231] recall 0.684211 [0.78,0.5] recall 0.75 [0.84,0.576923] recall 0.736842 [0.92,0.384615] recall 0.671053 [0.76,0.5] recall 0.763158 [0.82,0.653846] recall 0.736842 [0.78,0.653846] recall 0.723684 [0.78,0.615385] recall 0.75 [0.92,0.423077] recall 0.802632 [0.86,0.692308] recall 0.763158 [0.94,0.423077] recall 0.75 [0.9,0.461538] recall 0.802632 [0.9,0.615385] recall 0.697368 [0.84,0.423077] recall 0.763158 [0.86,0.576923] recall 0.75 [0.88,0.5] relative_absolute_error 0.66427 relative_absolute_error 0.698002 relative_absolute_error 0.721355 relative_absolute_error 0.744708 relative_absolute_error 0.817363 relative_absolute_error 0.752493 relative_absolute_error 0.736924 relative_absolute_error 0.742114 relative_absolute_error 0.791415 relative_absolute_error 0.679838 relative_absolute_error 0.736924 relative_absolute_error 0.679838 relative_absolute_error 0.731734 relative_absolute_error 0.757682 relative_absolute_error 0.755088 relative_absolute_error 0.703192 relative_absolute_error 0.838121 relative_absolute_error 0.716166 relative_absolute_error 0.710976 relative_absolute_error 0.674649 relative_absolute_error 0.708381 relative_absolute_error 0.812173 relative_absolute_error 0.682433 relative_absolute_error 0.775846 relative_absolute_error 0.682433 relative_absolute_error 0.695407 relative_absolute_error 0.809579 relative_absolute_error 0.72914 relative_absolute_error 0.755088 relative_absolute_error 0.736924 relative_absolute_error 0.762872 relative_absolute_error 0.739519 relative_absolute_error 0.736924 relative_absolute_error 0.72395 relative_absolute_error 0.669459 relative_absolute_error 0.708381 relative_absolute_error 0.744708 relative_absolute_error 0.690218 relative_absolute_error 0.866664 relative_absolute_error 0.827742 relative_absolute_error 0.775846 relative_absolute_error 0.726545 relative_absolute_error 0.768062 relative_absolute_error 0.838121 relative_absolute_error 0.848501 relative_absolute_error 0.739519 relative_absolute_error 0.736924 relative_absolute_error 0.695407 relative_absolute_error 0.601994 relative_absolute_error 0.806984 relative_absolute_error 0.744708 relative_absolute_error 0.692812 relative_absolute_error 0.840716 relative_absolute_error 0.710976 relative_absolute_error 0.726545 relative_absolute_error 0.851095 relative_absolute_error 0.672054 relative_absolute_error 0.812173 relative_absolute_error 0.692812 relative_absolute_error 0.679838 relative_absolute_error 0.705786 relative_absolute_error 0.669459 relative_absolute_error 0.692812 relative_absolute_error 0.71876 relative_absolute_error 0.731734 relative_absolute_error 0.806984 relative_absolute_error 0.635727 relative_absolute_error 0.736924 relative_absolute_error 0.674649 relative_absolute_error 0.757682 relative_absolute_error 0.731734 relative_absolute_error 0.809579 relative_absolute_error 0.721355 relative_absolute_error 0.651296 relative_absolute_error 0.783631 relative_absolute_error 0.565667 relative_absolute_error 0.721355 relative_absolute_error 0.736924 relative_absolute_error 0.666864 relative_absolute_error 0.672054 relative_absolute_error 0.716498 relative_absolute_error 0.750869 relative_absolute_error 0.756157 relative_absolute_error 0.690059 relative_absolute_error 0.690059 relative_absolute_error 0.811678 relative_absolute_error 0.705922 relative_absolute_error 0.745581 relative_absolute_error 0.803747 relative_absolute_error 0.705922 relative_absolute_error 0.732361 relative_absolute_error 0.735005 relative_absolute_error 0.708566 relative_absolute_error 0.674195 relative_absolute_error 0.676839 relative_absolute_error 0.687415 relative_absolute_error 0.703278 relative_absolute_error 0.7588 relative_absolute_error 0.737649 relative_absolute_error 0.729717 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 0.395314 root_mean_squared_error 0.407217 root_mean_squared_error 0.41492 root_mean_squared_error 0.422482 root_mean_squared_error 0.467352 root_mean_squared_error 0.415437 root_mean_squared_error 0.418012 root_mean_squared_error 0.422355 root_mean_squared_error 0.442582 root_mean_squared_error 0.406558 root_mean_squared_error 0.431904 root_mean_squared_error 0.392863 root_mean_squared_error 0.418012 root_mean_squared_error 0.448244 root_mean_squared_error 0.441854 root_mean_squared_error 0.414013 root_mean_squared_error 0.473965 root_mean_squared_error 0.404706 root_mean_squared_error 0.434382 root_mean_squared_error 0.409452 root_mean_squared_error 0.398694 root_mean_squared_error 0.453363 root_mean_squared_error 0.388606 root_mean_squared_error 0.459711 root_mean_squared_error 0.387776 root_mean_squared_error 0.388191 root_mean_squared_error 0.426401 root_mean_squared_error 0.401911 root_mean_squared_error 0.42552 root_mean_squared_error 0.416211 root_mean_squared_error 0.440515 root_mean_squared_error 0.415308 root_mean_squared_error 0.415178 root_mean_squared_error 0.411152 root_mean_squared_error 0.390672 root_mean_squared_error 0.422482 root_mean_squared_error 0.436477 root_mean_squared_error 0.403111 root_mean_squared_error 0.479257 root_mean_squared_error 0.461807 root_mean_squared_error 0.422736 root_mean_squared_error 0.42413 root_mean_squared_error 0.450633 root_mean_squared_error 0.459244 root_mean_squared_error 0.46505 root_mean_squared_error 0.421719 root_mean_squared_error 0.418526 root_mean_squared_error 0.385416 root_mean_squared_error 0.372098 root_mean_squared_error 0.45737 root_mean_squared_error 0.409583 root_mean_squared_error 0.402178 root_mean_squared_error 0.4693 root_mean_squared_error 0.408139 root_mean_squared_error 0.415953 root_mean_squared_error 0.476112 root_mean_squared_error 0.399501 root_mean_squared_error 0.466433 root_mean_squared_error 0.405633 root_mean_squared_error 0.378106 root_mean_squared_error 0.429911 root_mean_squared_error 0.398559 root_mean_squared_error 0.396534 root_mean_squared_error 0.404308 root_mean_squared_error 0.420572 root_mean_squared_error 0.447166 root_mean_squared_error 0.371087 root_mean_squared_error 0.440759 root_mean_squared_error 0.381779 root_mean_squared_error 0.421592 root_mean_squared_error 0.404175 root_mean_squared_error 0.452771 root_mean_squared_error 0.4055 root_mean_squared_error 0.383602 root_mean_squared_error 0.44246 root_mean_squared_error 0.34454 root_mean_squared_error 0.422355 root_mean_squared_error 0.429411 root_mean_squared_error 0.391632 root_mean_squared_error 0.388329 root_mean_squared_error 0.426019 root_mean_squared_error 0.407359 root_mean_squared_error 0.426911 root_mean_squared_error 0.395302 root_mean_squared_error 0.379011 root_mean_squared_error 0.46202 root_mean_squared_error 0.405084 root_mean_squared_error 0.42127 root_mean_squared_error 0.440945 root_mean_squared_error 0.40374 root_mean_squared_error 0.42243 root_mean_squared_error 0.425124 root_mean_squared_error 0.417901 root_mean_squared_error 0.381299 root_mean_squared_error 0.399543 root_mean_squared_error 0.391015 root_mean_squared_error 0.390458 root_mean_squared_error 0.435361 root_mean_squared_error 0.416467 root_mean_squared_error 0.414242 root_relative_squared_error 0.828447 root_relative_squared_error 0.853392 root_relative_squared_error 0.869534 root_relative_squared_error 0.885381 root_relative_squared_error 0.979414 root_relative_squared_error 0.870617 root_relative_squared_error 0.876015 root_relative_squared_error 0.885115 root_relative_squared_error 0.927504 root_relative_squared_error 0.85201 root_relative_squared_error 0.905126 root_relative_squared_error 0.82331 root_relative_squared_error 0.876015 root_relative_squared_error 0.939371 root_relative_squared_error 0.925978 root_relative_squared_error 0.867634 root_relative_squared_error 0.993273 root_relative_squared_error 0.848128 root_relative_squared_error 0.910319 root_relative_squared_error 0.858074 root_relative_squared_error 0.835529 root_relative_squared_error 0.950098 root_relative_squared_error 0.814388 root_relative_squared_error 0.963401 root_relative_squared_error 0.812649 root_relative_squared_error 0.813519 root_relative_squared_error 0.893595 root_relative_squared_error 0.842272 root_relative_squared_error 0.891747 root_relative_squared_error 0.87224 root_relative_squared_error 0.923174 root_relative_squared_error 0.870346 root_relative_squared_error 0.870076 root_relative_squared_error 0.861637 root_relative_squared_error 0.818717 root_relative_squared_error 0.885381 root_relative_squared_error 0.91471 root_relative_squared_error 0.844787 root_relative_squared_error 1.004364 root_relative_squared_error 0.967794 root_relative_squared_error 0.885913 root_relative_squared_error 0.888835 root_relative_squared_error 0.944376 root_relative_squared_error 0.962422 root_relative_squared_error 0.974589 root_relative_squared_error 0.883783 root_relative_squared_error 0.87709 root_relative_squared_error 0.807704 root_relative_squared_error 0.779792 root_relative_squared_error 0.958496 root_relative_squared_error 0.858349 root_relative_squared_error 0.842832 root_relative_squared_error 0.983497 root_relative_squared_error 0.855323 root_relative_squared_error 0.871699 root_relative_squared_error 0.997772 root_relative_squared_error 0.83722 root_relative_squared_error 0.977487 root_relative_squared_error 0.850071 root_relative_squared_error 0.792385 root_relative_squared_error 0.90095 root_relative_squared_error 0.835247 root_relative_squared_error 0.831004 root_relative_squared_error 0.847294 root_relative_squared_error 0.881379 root_relative_squared_error 0.93711 root_relative_squared_error 0.777674 root_relative_squared_error 0.923684 root_relative_squared_error 0.800081 root_relative_squared_error 0.883516 root_relative_squared_error 0.847016 root_relative_squared_error 0.948857 root_relative_squared_error 0.849794 root_relative_squared_error 0.803902 root_relative_squared_error 0.927249 root_relative_squared_error 0.722041 root_relative_squared_error 0.885115 root_relative_squared_error 0.899903 root_relative_squared_error 0.82073 root_relative_squared_error 0.813809 root_relative_squared_error 0.897883 root_relative_squared_error 0.858557 root_relative_squared_error 0.899764 root_relative_squared_error 0.833144 root_relative_squared_error 0.798809 root_relative_squared_error 0.97376 root_relative_squared_error 0.853761 root_relative_squared_error 0.887875 root_relative_squared_error 0.929342 root_relative_squared_error 0.850928 root_relative_squared_error 0.89032 root_relative_squared_error 0.895999 root_relative_squared_error 0.880774 root_relative_squared_error 0.803633 root_relative_squared_error 0.842083 root_relative_squared_error 0.824109 root_relative_squared_error 0.822936 root_relative_squared_error 0.917573 root_relative_squared_error 0.877753 root_relative_squared_error 0.873062 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0